<!DOCTYPE article
PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with MathML3 v1.2 20190208//EN" "JATS-archivearticle1-mathml3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article"><?properties open_access?><front><journal-meta><journal-id journal-id-type="nlm-ta">Prev Chronic Dis</journal-id><journal-id journal-id-type="iso-abbrev">Prev Chronic Dis</journal-id><journal-id journal-id-type="publisher-id">PCD</journal-id><journal-title-group><journal-title>Preventing Chronic Disease</journal-title></journal-title-group><issn pub-type="epub">1545-1151</issn><publisher><publisher-name>Centers for Disease Control and Prevention</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">31517599</article-id><article-id pub-id-type="pmc">6818132</article-id><article-id pub-id-type="publisher-id">19_0053</article-id><article-id pub-id-type="doi">10.5888/pcd16.190053</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Research</subject></subj-group><series-title>Peer Reviewed</series-title></article-categories><title-group><article-title>Putting the National Diabetes Prevention Program to Work: Predictors
of Achieving Weight-Loss Goals in an Employee Population</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Chakkalakal</surname><given-names>Rosette J.</given-names></name><degrees>MD</degrees><degrees>MHS</degrees><xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref><xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref><xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref></contrib><contrib contrib-type="author"><name><surname>Connor</surname><given-names>Lisa R.</given-names></name><degrees>RN</degrees><degrees>BSN</degrees><degrees>CDE</degrees><xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref></contrib><contrib contrib-type="author"><name><surname>Rolando</surname><given-names>Lori A.</given-names></name><degrees>MD</degrees><degrees>MPH</degrees><xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref><xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref></contrib><contrib contrib-type="author"><name><surname>Huang</surname><given-names>Yi</given-names></name><degrees>MS</degrees><xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref></contrib><contrib contrib-type="author"><name><surname>Byrne</surname><given-names>Daniel W.</given-names></name><degrees>MS</degrees><xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref><xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref></contrib><contrib contrib-type="author"><name><surname>Awalt</surname><given-names>Bradley M.</given-names></name><degrees>MS</degrees><degrees>ACSM</degrees><xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref></contrib><contrib contrib-type="author"><name><surname>McGown</surname><given-names>Paula W.</given-names></name><degrees>RN</degrees><degrees>MSN</degrees><degrees>CPA</degrees><xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref></contrib><contrib contrib-type="author"><name><surname>Aliyu</surname><given-names>Muktar H.</given-names></name><degrees>MD</degrees><degrees>DrPH</degrees><xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref><xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref></contrib><contrib contrib-type="author"><name><surname>Yarbrough</surname><given-names>Mary I.</given-names></name><degrees>MD</degrees><degrees>MPH</degrees><xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref><xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref></contrib><aff id="aff1">
<label>1</label>Department of Medicine, Vanderbilt University Medical Center,
Nashville, Tennessee</aff><aff id="aff2">
<label>2</label>Center for Diabetes Translation Research, Vanderbilt University
Medical Center, Nashville, Tennessee</aff><aff id="aff3">
<label>3</label>Vanderbilt Health and Wellness, Vanderbilt University Medical
Center, Nashville, Tennessee</aff><aff id="aff4">
<label>4</label>Department of Biostatistics, Vanderbilt University Medical
Center, Nashville, Tennessee</aff><aff id="aff5">
<label>5</label>Department of Health Policy, Vanderbilt University Medical
Center, Nashville, Tennessee</aff></contrib-group><author-notes><corresp id="cor1">Corresponding Author: Rosette J. Chakkalakal, MD, MHS, Division
of General Internal Medicine and Public Health, Department of Medicine,
Vanderbilt University Medical Center, 2525 West End Ave, Ste 450, Nashville, TN
37232. Telephone: 615-936-5190. Email: <email xlink:href="rosette.j.chakkalakal@vumc.org">rosette.j.chakkalakal@vumc.org</email>.</corresp></author-notes><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>12</day><month>9</month><year>2019</year></pub-date><volume>16</volume><elocation-id>E125</elocation-id><abstract><sec><title>Introduction</title><p>Differences in eligibility criteria and intervention characteristics have
limited the generalizability of findings from studies of worksite
translations of the National Diabetes Prevention Program (DPP). The
objective of our study was to identify factors associated with achievement
of the DPP&#x02019;s 5% weight-loss goal in the Vanderbilt University Medical
Center (VUMC) Faculty and Staff Health and Wellness DPP from 2014 to
2017.</p></sec><sec><title>Methods</title><p>We analyzed data from a DPP worksite translation that adhered to national
standards for program quality and intervention fidelity. We compared
baseline characteristics and program metrics for participants who did and
did not achieve the program&#x02019;s 5% weight-loss goal, and we developed a
multivariable logistic regression model to identify independent predictors
of achieving this goal.</p></sec><sec><title>Results</title><p>Of the 165 employees enrolled in the DPP from 2014 to 2017, 43.6% (n = 72)
met the 5% weight-loss goal. Mean (standard deviation) percentage weight
loss for the program was 5.2% (6.0%), or 4.8 (6.0) kg. The median
(interquartile range) body mass index at baseline was lower among
participants who achieved the 5% weight-loss goal than among those who did
not (31.6 [29.4&#x02013;37.4] vs 34.7 [31.5&#x02013;39.2], <italic>P</italic>
= .009), and participants who achieved the goal reported more physical
activity minutes per week (166.0 [135.2&#x02013;223.0] min vs 128.5
[83.2&#x02013;169.8] min, <italic>P</italic> &#x0003c; .001). Session attendance
was greater for participants achieving the 5% weight-loss goal (23
[21&#x02013;25]) sessions vs 18 [12&#x02013;21] sessions, <italic>P</italic>
&#x0003c; .001). In the adjusted analysis, physical activity and session
attendance remained significant predictors of achieving the 5% weight-loss
goal.</p></sec><sec><title>Conclusion</title><p>Session attendance and physical activity independently predicted achievement
of the 5% weight-loss goal in this worksite translation of the DPP.
Strategies designed to improve these metrics may increase DPP success
rates.</p></sec></abstract></article-meta></front><body><boxed-text id="Ba" position="float" orientation="portrait"><caption><title>Summary</title></caption><sec sec-type="other1"><title>What is already known on this topic?</title><p>Worksites are valuable ancillary health care systems for population health
promotion efforts, particularly the National Diabetes Prevention Program
(DPP). Differences in key program characteristics have, however, limited the
generalizability of findings from studies of worksite translations of the
DPP.</p></sec><sec sec-type="other2"><title>What is added by this report?</title><p>We evaluated the effectiveness of the Vanderbilt University Medical Center
Faculty and Staff Health and Wellness DPP, a worksite translation of the DPP
that earned full recognition status from the Centers for Disease Control and
Prevention in 2017.</p></sec><sec sec-type="other3"><title>What are the implications for public health practice?</title><p>Increased session attendance and increased physical activity among
participants may increase success rates for employer-based DPPs.</p></sec></boxed-text><sec sec-type="intro"><title>Introduction</title><p>Worksites provide ideal settings to disseminate evidence-based health promotion
programs. Sixty percent of US adults 16 years or older are employed (<xref rid="R1" ref-type="bibr">1</xref>), and worksites are a key source of
information, communication, and support for employees (<xref rid="R2" ref-type="bibr">2</xref>). The substantial effect of obesity on health care costs,
productivity, absenteeism, and disability, has created financial incentives to focus
worksite wellness efforts on obesity (<xref rid="R3" ref-type="bibr">3</xref>).
Employers spend 37% more on health care for obese adults than for normal-weight
adults; most of this excess expenditure is attributable to type 2 diabetes,
hyperlipidemia, and heart disease (<xref rid="R4" ref-type="bibr">4</xref>).</p><p>In 2010 the US Congress authorized the Centers for Disease Control and Prevention
(CDC) to establish the National Diabetes Prevention Program (DPP). The DPP is based
on data from several randomized controlled trials (<xref rid="R5" ref-type="bibr">5</xref>) demonstrating that type 2 diabetes can be prevented or delayed in
adults at high risk through a structured lifestyle intervention (<xref rid="R6" ref-type="bibr">6</xref>). Targeted efforts by CDC, the American
Diabetes Association, the American Medical Association, and the National Business
Coalition on Health (<xref rid="R7" ref-type="bibr">7</xref>) have resulted in more
than 60 employers and insurers now offering the DPP as an evidence-based
weight-management program to employees (<xref rid="R8" ref-type="bibr">8</xref>).</p><p>Several studies evaluated DPP implementation efforts in community and clinical
settings (<xref rid="R9" ref-type="bibr">9</xref>), but few focused on DPP
implementation at worksites (<xref rid="R7" ref-type="bibr">7</xref>). Differences
in program delivery limited the generalizability of findings from previous DPP
worksite translation studies (<xref rid="R7" ref-type="bibr">7</xref>). The CDC
Diabetes Prevention Recognition Program (DPRP) was established to minimize
differences in program delivery by ensuring program quality and fidelity to
scientific evidence (<xref rid="R10" ref-type="bibr">10</xref>&#x02013;<xref rid="R12" ref-type="bibr">12</xref>). The objective of our study was to identify
factors associated with achievement of the DPP&#x02019;s 5% weight-loss goal in the
Vanderbilt University Medical Center (VUMC) Faculty and Staff Health and Wellness
DPP, a worksite translation of the DPP that earned full recognition status from the
CDC DPRP in 2017.</p></sec><sec sec-type="methods"><title>Methods</title><p>Health Plus, the workplace wellness division of Vanderbilt Health and Wellness, began
offering the VUMC Faculty and Staff Health and Wellness DPP to the approximately
25,000 employees of Vanderbilt University (VU) and VUMC in 2014 (at no cost to
employees). The eligibility criteria for the VUMC Faculty and Staff Health and
Wellness DPP adhered to the 2015 DPRP standards for DPP participant eligibility
(<xref rid="R12" ref-type="bibr">12</xref>). VU/VUMC employees had to be aged 18
or older and have a body mass index (BMI, in kg/m<sup>2</sup>) of 24.0 or more
(&#x02265;22.0, if Asian American). Additionally, employees had to meet at least 1 of
the following criteria to qualify for the program: 1) a blood test result within the
previous year consistent with a diagnosis of prediabetes (fasting glucose of
100&#x02013;125 mg/dL, plasma glucose measured 2 hours after a 75g glucose load of
140&#x02013;199 mg/dL, or hemoglobin A<sub>1C</sub> of 5.7%&#x02013;6.4%), 2)
clinically diagnosed gestational diabetes mellitus during a previous pregnancy, or
3) a positive screening result on the American Diabetes Association or CDC
questionnaires for prediabetes (<xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R13" ref-type="bibr">13</xref>,<xref rid="R14" ref-type="bibr">14</xref>).
People who were pregnant at the time of enrollment or had been diagnosed with type 1
or type 2 diabetes before enrollment were not eligible.</p><sec><title>The VUMC Faculty and Staff Health and Wellness DPP</title><p>Consistent with the focus of the National DPP, the VUMC Faculty and Staff Health
and Wellness DPP helps participants make moderate changes in diet and physical
activity to achieve modest weight loss (5%&#x02013;7% of baseline body weight) by
presenting information, providing outside-of-class activities, and offering
feedback to optimize behavior change (<xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R12" ref-type="bibr">12</xref>). The program
emphasizes self-monitoring of diet and physical activity, building self-efficacy
and social support for maintaining behavior changes, and problem-solving
strategies for overcoming common challenges to sustaining weight loss. The VUMC
Faculty and Staff Health and Wellness DPP follows the 2012 National DPP
curriculum (<xref rid="R15" ref-type="bibr">15</xref>), which was approved by
CDC as meeting the requirements of the DPRP (<xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R12" ref-type="bibr">12</xref>). Classes were
delivered in person in a group setting and were organized into 16 core sessions
during the first 6 months of the program, followed by 6 to 10 postcore sessions
(per CDC guidance) during the second 6 months of the program.</p></sec><sec><title>Study design</title><p>We conducted an exploratory analysis of data from DPP participants enrolled in
the first 5 cohorts (June 24, 2014, through August 28, 2017) of the VUMC Faculty
and Staff Health and Wellness DPP. In accordance with the 2015 DPRP standards
for evaluating DPP outcomes, we categorized people as DPP participants if they
attended at least 4 sessions during the 12-month program (<xref rid="R12" ref-type="bibr">12</xref>). The primary analyses focused on the comparison of
baseline characteristics and program metrics for DPP participants who achieved
the minimum 5% weight-loss goal and those who did not. Through a Research
Electronic Data Capture (REDCap) survey (<xref rid="R16" ref-type="bibr">16</xref>) at the time of enrollment, participants were asked to
self-report their age, sex, and race/ethnicity, and indicate the method by which
they qualified for the DPP (ie, blood test, questionnaire, or diagnosed
gestational diabetes, or various combinations thereof). We calculated baseline
BMI by using height and weight data collected from participants at the first DPP
session. Program characteristics were physical activity minutes per week, the
number of sessions attended, and weight loss. Physical activity was
self-reported by DPP participants at each DPP session. We assessed weekly
physical activity minutes by asking participants to respond to the following
question for each session via REDCap survey: &#x0201c;Please report your total
physical activity minutes for the past week. The minutes you report should be
moderate intensity, meaning you are going fast enough to breathe heavier than
usual, but not so fast that you are unable to talk. An example of this is brisk
walking. Report any activity that you have done for at least 10 minutes or
longer.&#x0201d; Participants were not required to complete the REDCap survey to
report their weekly physical activity minutes if they instead verbally reported
physical activity minutes to their coach or submitted this data via email as a
free text report. We calculated an overall mean physical activity minutes per
week for each participant. Health Plus staff members measured
participants&#x02019; weight at each DPP session. Health Plus staff members are
trained by the Health Plus nurse case manager to follow a standardized protocol
when measuring height and weight; protocol proficiency is re-assessed annually.
Per the CDC DPRP protocol for calculating participants&#x02019; percentage change
in weight (<xref rid="R10" ref-type="bibr">10</xref>), we categorized
participants as having achieved the 5% weight-loss goal (yes or no) after
calculating each participant&#x02019;s percentage weight loss (difference in
weight between the first and last session attended divided by baseline weight,
then multiplied by 100).</p><p>The Vanderbilt Institutional Review Board recognized this evaluation as a quality
improvement project for the purposes of evaluating program efficacy, quality
improvement, and dissemination of program results.</p></sec><sec><title>Statistical analysis</title><p>We used Fisher exact tests for categorical variables and Wilcoxon rank-sum tests
for continuous and ordinal variables to compare baseline characteristics and
program metrics between DPP participants who achieved the 5% weight-loss goal
and participants who did not. For categorical variables, we calculated the
success rate by dividing the number of DPP participants who achieved the 5%
weight-loss goal by the total number of participants in each category. We used
LOWESS (locally weighted scatterplot smoothing) nonparametric regression trend
lines with 95% confidence intervals to display percentage weight change during
the program. These spline graphs provide a nonlinear smoothed curve based on a
moving average to find a curve of best fit without assuming the data must fit
some distribution shape. Baseline characteristics and program metrics that were
significantly associated with achievement of the 5% weight-loss goal in
bivariate analyses were included in a logistic regression model to determine
which variables remained significant predictors of the 5% weight-loss goal. For
ease of interpretation, we analyzed physical activity as 30-minute intervals per
week in the logistic regression model. All analyses were performed using R
version 3.4.3 (The R Foundation) (<xref rid="R17" ref-type="bibr">17</xref>).</p></sec></sec><sec sec-type="results"><title>Results</title><p>During the study period, 165 employees enrolled in the VUMC Faculty and Staff Health
and Wellness DPP. The mean (standard deviation [SD]) age of DPP participants was
50.3 (8.6) years, and 85% were women. Most (77%) participants were obese, 64% of
participants were non-Hispanic white, and 26% were non-Hispanic black. The general
VU/VUMC employee population in 2017 was younger (mean 43.0 [SD, 12.8] y) than the
DPP participant population, and a smaller percentage (27%) was obese. These
differences reflect eligibility criteria for the DPP, because the likelihood that a
person will have a positive screen for prediabetes on either the American Diabetes
Association or CDC prediabetes questionnaires increases with increasing age and/or
increasing BMI.</p><p>Of the 165 participants, 72 (43.6%) employees met the 5% weight-loss goal (<xref rid="T1" ref-type="table">Table 1</xref>). Mean (SD) percentage weight loss for
the full cohort was 5.2% (6.0%), or 4.8 (6.0) kg. The trend line for participants
who met the target weight-loss goal crossed the 5% weight-loss threshold at
approximately session 9 (<xref ref-type="fig" rid="F1">Figure 1</xref>).
Participants achieving the 5% weight-loss goal lost a median (interquartile range
[IQR]) 7.5 (5.3&#x02013;13.3) kg, or 8.0% (6.2%&#x02013;13.9%) of baseline weight;
participants who did not achieve the goal lost a median (IQR) 1.4 (0&#x02013;3.2) kg
(<xref rid="T2" ref-type="table">Table 2</xref>).</p><table-wrap id="T1" orientation="portrait" position="float"><label>Table 1</label><caption><title>Baseline Characteristics of DPP Participants (N = 165) by Achievement of
5% Weight-Loss Goal, Vanderbilt University Medical Center Faculty and Staff
Health and Wellness DPP, 2014&#x02013;2017</title></caption><table frame="hsides" rules="groups"><col width="175" span="1"/><col width="101" span="1"/><col width="91" span="1"/><col width="65" span="1"/><col width="44" span="1"/><thead><tr><th valign="bottom" align="left" scope="col" rowspan="1" colspan="1">Characteristic</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">5% Weight-Loss Goal Not Met<xref rid="T1FN1" ref-type="table-fn">a</xref>
</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">5% Weight-Loss Goal Met<xref rid="T1FN1" ref-type="table-fn">a</xref>
</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Success Rate, %<xref rid="T1FN2" ref-type="table-fn">b</xref>
</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">
<italic>P</italic> Value</th></tr></thead><tbody><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">
<bold>No. of participants</bold>
</td><td valign="top" align="center" rowspan="1" colspan="1">93</td><td valign="top" align="center" rowspan="1" colspan="1">72</td><td valign="top" align="center" rowspan="1" colspan="1">43.6</td><td valign="top" align="center" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">
<bold>Age, median (IQR), y</bold>
</td><td valign="top" align="center" rowspan="1" colspan="1">51.0
(44.0&#x02013;56.0)</td><td valign="top" align="center" rowspan="1" colspan="1">52.0
(47.0&#x02013;57.0)</td><td valign="top" align="center" rowspan="1" colspan="1">&#x02014;</td><td valign="top" align="right" rowspan="1" colspan="1">.23<xref rid="T1FN3" ref-type="table-fn">c</xref>
</td></tr><tr><td colspan="5" valign="top" align="left" scope="col" rowspan="1">
<bold>Sex</bold>
</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Female</td><td valign="top" align="center" rowspan="1" colspan="1">80 (86.0)</td><td valign="top" align="center" rowspan="1" colspan="1">60 (83.3)</td><td valign="top" align="center" rowspan="1" colspan="1">42.9</td><td rowspan="2" valign="top" align="right" colspan="1">.67<xref rid="T1FN4" ref-type="table-fn">d</xref>
</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Male</td><td valign="top" align="center" rowspan="1" colspan="1">13 (14.0)</td><td valign="top" align="center" rowspan="1" colspan="1">12 (16.7)</td><td valign="top" align="center" rowspan="1" colspan="1">48.0</td></tr><tr><td colspan="5" valign="top" align="left" scope="col" rowspan="1">
<bold>Race/ethnicity</bold>
</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Non-Hispanic white</td><td valign="top" align="center" rowspan="1" colspan="1">60 (64.5)</td><td valign="top" align="center" rowspan="1" colspan="1">45 (62.5)</td><td valign="top" align="center" rowspan="1" colspan="1">42.9</td><td rowspan="5" valign="middle" align="right" colspan="1">.74<xref rid="T1FN4" ref-type="table-fn">d</xref>
</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Non-Hispanic black</td><td valign="top" align="center" rowspan="1" colspan="1">24 (25.8)</td><td valign="top" align="center" rowspan="1" colspan="1">18 (25.0)</td><td valign="top" align="center" rowspan="1" colspan="1">42.9</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Hispanic</td><td valign="top" align="center" rowspan="1" colspan="1">4 (4.3)</td><td valign="top" align="center" rowspan="1" colspan="1">3 (4.2)</td><td valign="top" align="center" rowspan="1" colspan="1">42.9</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Non-Hispanic Asian</td><td valign="top" align="center" rowspan="1" colspan="1">4 (4.3)</td><td valign="top" align="center" rowspan="1" colspan="1">4 (5.6)</td><td valign="top" align="center" rowspan="1" colspan="1">50.0</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Other
or unknown</td><td valign="top" align="center" rowspan="1" colspan="1">1 (1.1)</td><td valign="top" align="center" rowspan="1" colspan="1">2 (2.8)</td><td valign="top" align="center" rowspan="1" colspan="1">66.7</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">
<bold>BMI, median (IQR)</bold>
</td><td valign="top" align="center" rowspan="1" colspan="1">34.7
(31.5&#x02013;39.2)</td><td valign="top" align="center" rowspan="1" colspan="1">31.6
(29.4&#x02013;37.4)</td><td valign="top" align="center" rowspan="1" colspan="1">&#x02014;</td><td valign="top" align="right" rowspan="1" colspan="1">.009<xref rid="T1FN3" ref-type="table-fn">c</xref>
</td></tr><tr><td colspan="5" valign="top" align="left" scope="col" rowspan="1">
<bold>BMI category, kg/m<sup>2</sup></bold>
</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Normal
(18.5&#x02013;24.9)</td><td valign="top" align="center" rowspan="1" colspan="1">1 (1.1)</td><td valign="top" align="center" rowspan="1" colspan="1">3 (4.2)</td><td valign="top" align="center" rowspan="1" colspan="1">75.0</td><td rowspan="3" valign="middle" align="right" colspan="1">.04<xref rid="T1FN4" ref-type="table-fn">d</xref>
</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Overweight (25.0&#x02013;29.9)</td><td valign="top" align="center" rowspan="1" colspan="1">14 (15.1)</td><td valign="top" align="center" rowspan="1" colspan="1">20 (27.8)</td><td valign="top" align="center" rowspan="1" colspan="1">58.8</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Obese
(&#x02265;30.0)</td><td valign="top" align="center" rowspan="1" colspan="1">78 (83.9)</td><td valign="top" align="center" rowspan="1" colspan="1">49 (68.1)</td><td valign="top" align="center" rowspan="1" colspan="1">38.6</td></tr><tr><td colspan="5" valign="top" align="left" scope="col" rowspan="1">
<bold>DPP qualification method<xref rid="T1FN5" ref-type="table-fn">e</xref></bold>
</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Blood
test</td><td valign="top" align="center" rowspan="1" colspan="1">1 (1.1)</td><td valign="top" align="center" rowspan="1" colspan="1">1 (1.4)</td><td valign="top" align="center" rowspan="1" colspan="1">50.0</td><td rowspan="7" valign="middle" align="right" colspan="1">.40<xref rid="T1FN4" ref-type="table-fn">d</xref>
</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Questionnaire</td><td valign="top" align="center" rowspan="1" colspan="1">41(44.1)</td><td valign="top" align="center" rowspan="1" colspan="1">20 (27.8)</td><td valign="top" align="center" rowspan="1" colspan="1">32.8</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Diagnosed gestational diabetes</td><td valign="top" align="center" rowspan="1" colspan="1">1 (1.1)</td><td valign="top" align="center" rowspan="1" colspan="1">1 (1.4)</td><td valign="top" align="center" rowspan="1" colspan="1">50.0</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Blood
test and questionnaire</td><td valign="top" align="center" rowspan="1" colspan="1">35 (37.6)</td><td valign="top" align="center" rowspan="1" colspan="1">38 (52.8)</td><td valign="top" align="center" rowspan="1" colspan="1">52.1</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Blood
test and diagnosed gestational diabetes</td><td valign="top" align="center" rowspan="1" colspan="1">2 (2.2)</td><td valign="top" align="center" rowspan="1" colspan="1">1 (1.4)</td><td valign="top" align="center" rowspan="1" colspan="1">33.3</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Diagnosed gestational diabetes and questionnaire</td><td valign="top" align="center" rowspan="1" colspan="1">10 (10.8)</td><td valign="top" align="center" rowspan="1" colspan="1">8 (11.1)</td><td valign="top" align="center" rowspan="1" colspan="1">44.4</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Blood
test, diagnosed gestational diabetes, and questionnaire</td><td valign="top" align="center" rowspan="1" colspan="1">3 (3.2)</td><td valign="top" align="center" rowspan="1" colspan="1">3 (4.2)</td><td valign="top" align="center" rowspan="1" colspan="1">50.0</td></tr></tbody></table><table-wrap-foot><fn><p>Abbreviation: BMI, body mass index; DPP, Diabetes Prevention Program;
IQR, interquartile range.</p></fn><fn id="T1FN1"><label>a</label><p> Values are number (percentage) unless otherwise indicated.</p></fn><fn id="T1FN2"><label>b</label><p> Success rate calculated by dividing the number of DPP participants who
achieved the 5% weight-loss goal by the total number of participants in
each category.</p></fn><fn id="T1FN3"><label>c</label><p>
<italic>P</italic> value based on the nonparametric Wilcoxon rank-sum
test.</p></fn><fn id="T1FN4"><label>d</label><p>
<italic>P</italic> value based on the Fisher exact test.</p></fn><fn id="T1FN5"><label>e</label><p> To qualify to participate in the program, employees had to meet &#x02265;1 of
the following criteria: 1) a blood test result within the previous year
consistent with a diagnosis of prediabetes (fasting glucose of 100&#x02013;125
mg/dL, plasma glucose measured 2 hours after a 75-g glucose load of
140&#x02013;199 mg/dL, or hemoglobin A<sub>1C</sub> of 5.7%&#x02013;6.4%), 2) clinically
diagnosed gestational diabetes mellitus during a previous pregnancy, or
3) a positive screening result on a questionnaire for prediabetes (<xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R13" ref-type="bibr">13</xref>,<xref rid="R14" ref-type="bibr">14</xref>). In addition,
employees had to be aged &#x02265;18 and have a BMI &#x02265;24.0 (&#x02265;22.0, if Asian
American). </p></fn></table-wrap-foot></table-wrap><fig id="F1" fig-type="figure" orientation="portrait" position="float"><label>Figure 1</label><caption><p>Percentage change in weight among 165 participants in the Vanderbilt
University Medical Center (VUMC) Faculty and Staff Health and Wellness
Diabetes Prevention Program, 2014&#x02013;2017. The dotted line represents
the 5% weight-loss goal. Each green cross represents a participant who
achieved the 5% weight-loss goal. Each red circle represents a participant
who did not achieve the 5% weight-loss goal. The solid red line and the
solid green line are LOWESS (locally weighted scatterplot smoothing)
nonparametric regression trend lines; shading indicates 95% confidence
intervals.</p></caption><long-desc>This graph plots values along a y-axis (percentage weight change) and an
x-axis (number of sessions, from 1 through 26). For each session and each
participant in the program, the graph indicates a percentage change in weight.
It shows that participants who met the target weight-loss goal crossed the 5%
weight-loss threshold at approximately session 9. It also shows that among those
who did not achieve the 5% weight-loss goal, participants lost a percentage of
body weight slowly but steadily until about session 16, at which point the they
began to gain a percentage of body weight slowly and steadily until session 26.
Among those who achieved 5% weight loss, the percentage of body weight declined
at a faster rate than the rate among those who did not achieve goal, and it
continued to decline steadily until session 26.</long-desc><graphic xlink:href="PCD-16-E125s01"/></fig><table-wrap id="T2" orientation="portrait" position="float"><label>Table 2</label><caption><title>Program Metrics for DPP Participants (N = 165) by Achievement of 5%
Weight-Loss Goal, Vanderbilt University Medical Center Faculty and Staff
Health and Wellness DPP, 2014&#x02013;2017<xref rid="T2FN1" ref-type="table-fn">a</xref>
</title></caption><table frame="hsides" rules="groups"><col width="103" span="1"/><col width="144" span="1"/><col width="126" span="1"/><col width="45" span="1"/><thead><tr><th valign="bottom" align="left" scope="col" rowspan="1" colspan="1">Metric</th><th valign="middle" align="center" scope="col" rowspan="1" colspan="1">5% Weight-Loss Goal Not Met<xref rid="T2FN2" ref-type="table-fn">b</xref>
</th><th valign="middle" align="center" scope="col" rowspan="1" colspan="1">5% Weight-Loss Goal Met<xref rid="T2FN2" ref-type="table-fn">b</xref>
</th><th valign="middle" align="center" scope="col" rowspan="1" colspan="1">
<italic>P</italic> Value<xref rid="T2FN3" ref-type="table-fn">c</xref>
</th></tr></thead><tbody><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">
<bold>No. of participants</bold>
</td><td valign="top" align="center" rowspan="1" colspan="1">93</td><td valign="top" align="center" rowspan="1" colspan="1">72</td><td valign="top" align="center" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td colspan="4" valign="top" align="left" scope="col" rowspan="1">
<bold>Physical activity, minutes per week</bold>
</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Core
phase</td><td valign="top" align="center" rowspan="1" colspan="1">132.0
(91.5&#x02013;164.0)</td><td valign="top" align="center" rowspan="1" colspan="1">163.5
(132.8&#x02013;220.5)</td><td valign="top" align="right" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Postcore phase</td><td valign="top" align="center" rowspan="1" colspan="1">120.0
(62.5&#x02013;173.0)</td><td valign="top" align="center" rowspan="1" colspan="1">165.0
(119.0&#x02013;231.0)</td><td valign="top" align="right" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Overall program</td><td valign="top" align="center" rowspan="1" colspan="1">128.5
(83.2&#x02013;169.8)</td><td valign="top" align="center" rowspan="1" colspan="1">166.0
(135.2&#x02013;223.0)</td><td valign="top" align="right" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td colspan="4" valign="top" align="left" scope="col" rowspan="1">
<bold>No. of sessions of attended</bold>
</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Core
phase</td><td valign="top" align="center" rowspan="1" colspan="1">14 (12&#x02013;15)</td><td valign="top" align="center" rowspan="1" colspan="1">15 (14&#x02013;15)</td><td valign="top" align="right" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Postcore phase</td><td valign="top" align="center" rowspan="1" colspan="1">4 (0&#x02013;7)</td><td valign="top" align="center" rowspan="1" colspan="1">8 (6&#x02013;10)</td><td valign="top" align="right" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Overall program</td><td valign="top" align="center" rowspan="1" colspan="1">18 (12&#x02013;21)</td><td valign="top" align="center" rowspan="1" colspan="1">23 (21&#x02013;25)</td><td valign="top" align="right" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">
<bold>Last session attended<xref rid="T2FN4" ref-type="table-fn">d</xref></bold>
</td><td valign="top" align="center" rowspan="1" colspan="1">23 (16&#x02013;25)</td><td valign="top" align="center" rowspan="1" colspan="1">25 (23&#x02013;26)</td><td valign="top" align="right" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td colspan="4" valign="top" align="left" scope="col" rowspan="1">
<bold>Percentage of weight loss</bold>
</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Core
phase</td><td valign="top" align="center" rowspan="1" colspan="1">2.5
(0.6&#x02013;4.4)</td><td valign="top" align="center" rowspan="1" colspan="1">7.2
(5.7&#x02013;10.3)</td><td valign="top" align="right" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Overall program</td><td valign="top" align="center" rowspan="1" colspan="1">1.3 (0&#x02013;3.3)</td><td valign="top" align="center" rowspan="1" colspan="1">8.0
(6.2&#x02013;13.9)</td><td valign="top" align="right" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td colspan="4" valign="top" align="left" scope="col" rowspan="1">
<bold>Absolute weight loss</bold>, <bold>kg</bold>
</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Core
phase</td><td valign="top" align="center" rowspan="1" colspan="1">2.3
(0.9&#x02013;4.1)</td><td valign="top" align="center" rowspan="1" colspan="1">6.4
(5.0&#x02013;8.7)</td><td valign="top" align="right" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Overall program</td><td valign="top" align="center" rowspan="1" colspan="1">1.4 (0&#x02013;3.2)</td><td valign="top" align="center" rowspan="1" colspan="1">7.5
(5.3&#x02013;13.3)</td><td valign="top" align="right" rowspan="1" colspan="1">&#x0003c;.001</td></tr></tbody></table><table-wrap-foot><fn><p>Abbreviation: DPP, Diabetes Prevention Program.</p></fn><fn id="T2FN1"><label>a</label><p> Classes were delivered in person in a group setting and were organized
into 16 core sessions during the first 6 months of the program, followed
by 6 to 10 postcore sessions during the second 6 months of the
program.</p></fn><fn id="T2FN2"><label>b</label><p> Values are median (interquartile range) unless otherwise indicated.</p></fn><fn id="T2FN3"><label>c</label><p>
<italic>P</italic> value for the nonparametric Wilcoxon rank-sum
test.</p></fn><fn id="T2FN4"><label>d</label><p> Of the sessions offered, numbered sequentially from 1 to 26, the last
session attended.</p></fn></table-wrap-foot></table-wrap><p>Participants who achieved the 5% weight-loss goal were more likely than those who did
not achieve the goal to have a lower baseline BMI (median [IQR] 31.6
[29.4&#x02013;37.4] vs 34.7 [31.5&#x02013;39.2]; <italic>P</italic> = .009). We found
no significant differences in achievement of the 5% weight-loss goal by age, sex,
race/ethnicity, or qualification method. The most common program qualification
method was the combination of a positive screening questionnaire and a blood test in
the prediabetes range in the previous year (73 of 165 participants, or 44.2%) (<xref rid="T1" ref-type="table">Table 1</xref>). Although qualification method was not
significantly associated with achievement of the 5% weight-loss goal, success rates
were lower for participants who qualified solely on the basis of a positive
screening questionnaire (32.8% success rate) than for participants who qualified on
the basis of the combination of a positive screening questionnaire and a blood test
(52.1% success rate).</p><p>We observed significant differences in all program metrics when we compared
participants who achieved the 5% weight-loss goal and those who did not (<xref rid="T2" ref-type="table">Table 2</xref>). Participants who achieved the 5%
weight-loss goal reported a median [IQR] 166.0 [135.2&#x02013;223.0] physical
activity minutes per week, whereas participants who did not achieve goal reported
128.5 [83.2&#x02013;169.8] physical activity minutes per week (<italic>P</italic>
&#x0003c; .001). Similarly, participants who achieved the 5% weight-loss goal attended
more program sessions than those who did not meet the weight-loss goal (23
[21&#x02013;25] vs 18 [12&#x02013;21] sessions; <italic>P</italic> &#x0003c; .001). These
findings were consistent in both the core and postcore phases of the program. The
median for the last DPP session attended was session 25 for participants who
achieved the 5% weight-loss goal and session 23 for participants who did not achieve
the goal (<italic>P</italic> &#x0003c; .001). Participants who reported an average of at
least 150 minutes of physical activity per week or attended at least 21 DPP sessions
had a 50% success rate in achieving the 5% weight loss goal (<xref ref-type="fig" rid="F2">Figure 2</xref>). The steep slope of the line indicates that increasing
physical activity above 150 minutes was associated with significantly higher success
rates. Similarly, attending 21 sessions was associated with a 50% success rate, but
the slope of the line indicates that increasing attendance to more than 21 sessions
was associated with much higher success rates.</p><fig id="F2" fig-type="figure" orientation="portrait" position="float"><label>Figure 2</label><caption><p>Success rates for achievement of 5% weight-loss goal among 165 participants
in the Vanderbilt University Medical Center (VUMC) Faculty and Staff Health
and Wellness Diabetes Prevention Program, 2014&#x02013;2017. The red dotted
line (A) indicates 150 minutes of physical activity and the blue dotted line
(B) indicates 21 sessions. The points at which the red and blue dotted lines
intersect with the solid green line indicate 50% success rates.</p></caption><long-desc>Participants who reported an average of at least 150 minutes of physical
activity per week or attended at least 21 sessions during the program had a 50%
success rate in achieving the 5% weight loss goal. The steep slope of the line
indicates that increasing the physical activity to more than 150 minutes is
associated with significantly higher success rates. Similarly, attending 21
sessions is associated with a 50% success rate, but the slope of the line
indicates that increasing attendance to more than 21 sessions is associated with
much higher success rates.</long-desc><graphic xlink:href="PCD-16-E125s02"/></fig><p>Baseline BMI, physical activity, and the number of sessions attended differed
significantly between participants who achieved the 5% weight-loss goal and
participants who did not, so we included these variables in the logistic regression
model. In the adjusted analysis, only physical activity and number of sessions
attended remained significant predictors of achieving the 5% weight-loss goal. The
odds of achieving the 5% weight-loss goal were 20% greater for every additional
30-minute interval of physical activity per week (odds ratio [OR] = 1.20, 95%
confidence interval [CI], 1.02&#x02013;1.41; <italic>P</italic> = .02); the odds of
achieving the 5% weight loss goal were also 20% greater for every additional session
attended (OR = 1.20; 95% CI, 1.10&#x02013;1.32; <italic>P</italic> &#x0003c; .001).
Baseline BMI was not a significant predictor of achieving the goal (OR = 0.97; 95%
CI, 0.91&#x02013;1.04; <italic>P</italic> = .37).</p></sec><sec sec-type="discussion"><title>Discussion</title><p>We found that number of sessions attended and weekly minutes of physical activity
were independently associated with achieving the 5% weight-loss goal in the VUMC
Faculty and Staff Health and Wellness DPP. As a worksite translation of the National
DPP with full recognition status from CDC, our program maintains rigorous standards
for program quality and fidelity to scientific evidence. Previous studies of DPP
worksite translations demonstrated substantial differences in fundamental elements
of the DPP, including participant eligibility criteria and intervention
characteristics (<xref rid="R7" ref-type="bibr">7</xref>). For example, a recent
review of translational workplace DPP-based interventions showed that none of the 10
programs included in the review used DPRP&#x02019;s standard eligibility criteria
(<xref rid="R7" ref-type="bibr">7</xref>). Only 2 programs offered both the
16-session core phase and the 6-month maintenance phase of the DPP, and 4 programs
did not offer any maintenance sessions. The results of our study are more
generalizable to other programs participating in the DPRP than findings from
previous evaluations of employer-based DPPs because of our adherence to DPRP
standards for implementation.</p><p>The weight-loss results we observed exceeded the weight-loss results reported in
previous studies. Participants in our DPP lost, on average, 5.2% of their body
weight at the time of program completion and 43.6% achieved the 5% weight-loss goal.
A recent systematic review of real-world translations of the DPP reported a mean
weight loss of 4% at 12-month follow-up across the 28 studies included in the
analysis (<xref rid="R18" ref-type="bibr">18</xref>). A recent assessment of
participant-level results from the National DPP found that average weight loss was
4.2% and that 35.5% of participants achieved the 5% weight-loss goal (<xref rid="R11" ref-type="bibr">11</xref>). Our results demonstrating the importance
of the number of sessions attended in achieving weight loss is consistent with the
results of these large multisite evaluations of the DPP (<xref rid="R11" ref-type="bibr">11</xref>,<xref rid="R18" ref-type="bibr">18</xref>). Ali et al found
that for every additional lifestyle session attended, weight loss increased by 0.26%
(<xref rid="R18" ref-type="bibr">18</xref>). Ely et al similarly found that for
every additional DPP session attended, participants lost 0.31% of their body weight
(<xref rid="R11" ref-type="bibr">11</xref>). Our finding that physical activity
is a significant predictor of achieving the 5% weight-loss goal was also consistent
with reports by Ely et al, who found that National DPP participants lost 0.3% of
their body weight for every 30 additional minutes per week of physical activity
reported (<xref rid="R11" ref-type="bibr">11</xref>). The consistent identification
of the number of sessions attended and physical activity minutes as significant
predictors of weight loss in the DPP provides strong evidence that strategies
designed to increase session attendance and increase physical activity among DPP
participants could increase success rates, particularly in employer-based
programs.</p><p>Despite the program&#x02019;s effectiveness, participation rates for our
employer-based DPP were low. The Diabetes Prevention Impact Toolkit recently
developed by CDC in collaboration with RTI International (<xref rid="R19" ref-type="bibr">19</xref>,<xref rid="R20" ref-type="bibr">20</xref>) can be used to
project the percentage of a population eligible to participate in a DPP based on the
unique demographic characteristics of that population. Using this toolkit, we
estimated 7,869 of the 25,444 benefits-eligible employees working at VU/VUMC in 2017
would be eligible for the VUMC Faculty and Staff Health and Wellness DPP. Yet only
229 employees completed the DPP in the 4 years it has been available as a benefit.
Employer-based health promotion programs frequently report limited program
participation (<xref rid="R21" ref-type="bibr">21</xref>,<xref rid="R22" ref-type="bibr">22</xref>) because of such barriers as geography, inconvenient
locations, time limitations, insufficient incentives, and confidentiality concerns
(<xref rid="R23" ref-type="bibr">23</xref>,<xref rid="R24" ref-type="bibr">24</xref>). Limited program participation is a problem within and beyond
worksites. A systematic review of &#x0201c;real-world&#x0201d; translations of the DPP
reported low participation rates (&#x02264;33%) in 25 of 35 studies (<xref rid="R25" ref-type="bibr">25</xref>). The rates were 10% or less in half of the
studies (<xref rid="R25" ref-type="bibr">25</xref>). A recent analysis of National
Health Interview Survey data also noted low DPP participation rates; only 2.4% of
eligible adults in the sample had participated in the program (<xref rid="R26" ref-type="bibr">26</xref>). Feedback collected from our DPP participants during
2014&#x02013;2017 suggested that the requirement to meet in person on the VU/VUMC
main campus was a barrier to participation. We introduced an option to participate
in a video-teleconference group (ie, telehealth) in 2018 to overcome this geographic
barrier to program participation; future analyses will evaluate whether this option
improves program participation rates.</p><p>Our study has several limitations. Like previous evaluations of the DPP, our study
was limited to analyzing standard programmatic data available for the DPP and did
not account for potential unmeasured confounders, including sleep, dietary intake,
readiness for behavior change, and others. Physical activity minutes were
self-reported and may have been prone to recall bias. Our calculation of weight loss
as the difference between the first and last session attended is consistent with
DPRP standards (<xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R12" ref-type="bibr">12</xref>), but it does not account for the fact that the last session
may have been earlier than 12 months after the participant enrolled in the DPP.
Importantly, the median for the last session attended by participants in our program
was 24, suggesting that the last weight recorded for most participants was close to
the end of the 12-month program. Women were overrepresented in our sample; 67% of
VU/VUMC employees are female but 85% of DPP participants were female. This selection
bias is consistent with previous studies of workplace wellness programs, which
observed higher participation rates among female employees (<xref rid="R27" ref-type="bibr">27</xref>,<xref rid="R28" ref-type="bibr">28</xref>).</p><p>Worksites are valuable ancillary health care systems for population health promotion
efforts among US adults. Addressing weight management at a population level is
challenging because a single intervention is unlikely to account for the diverse
needs and preferences of so many people. VUMC Faculty and Staff Health and Wellness
uses the AMSO framework (Awareness, Motivation, Skill-Building, Opportunity) for
workplace health promotion to provide a variety of weight-management options to
accommodate differences in readiness for behavior change, availability, goals,
degree of support, and other factors among VU/VUMC employees (<xref rid="R29" ref-type="bibr">29</xref>). Within this framework, the DPP provides an excellent
evidence-based skill-building program option for employees at high risk for
developing diabetes. Strategies designed to improve program attendance and increase
physical activity among DPP participants may increase success rates for
employer-based DPPs adhering to DPRP standards.</p></sec></body><back><ack><title>Acknowledgments</title><p>The VUMC Faculty and Staff Health and Wellness DPP is supported by Vanderbilt Health
and Wellness, a division of VUMC Population Health. The program also received
funding from a contract with CDC/Tennessee Department of Health Services (VUMC54498
[34352-26918]). Data management involved the use of Research Electronic Data Capture
(REDCap, UL1TR000445, National Center for Advancing Translational Sciences/National
Institutes of Health). Dr Chakkalakal is partly supported by a grant to the
Vanderbilt Center for Diabetes Translation Research (P30DK092986, National Institute
of Diabetes and Digestive and Kidney Diseases/National Institutes of Health).
Copyrighted materials were not used in this study.</p></ack><fn-group><fn><p>The opinions expressed by authors contributing to this journal do not necessarily
reflect the opinions of the U.S. Department of Health and Human Services, the
Public Health Service, the Centers for Disease Control and Prevention, or the
authors' affiliated institutions.</p></fn><fn><p>
<italic>Suggested citation for this article:</italic> Chakkalakal RJ, Connor LR,
Rolando LA, Huang Y, Byrne DW, Awalt BM, et al. Putting the National Diabetes
Prevention Program to Work: Predictors of Achieving Weight-Loss Goals in an
Employee Population. Prev Chronic Dis 2019;16:190053. DOI: <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5888/pcd16.190053">https://doi.org/10.5888/pcd16.190053</ext-link>.</p></fn></fn-group><ref-list><title>References</title><ref id="R1"><label>1. </label><mixed-citation publication-type="book">
<collab>Bureau of Labor Statistics</collab>. Labor force statistics from the
current population survey. Washington (DC): US Department of Labor;
<year>2018</year>.</mixed-citation></ref><ref id="R2"><label>2. </label><mixed-citation publication-type="journal">
<string-name>
<surname>Katz</surname>
<given-names>DL</given-names>
</string-name>, <string-name>
<surname>O&#x02019;Connell</surname>
<given-names>M</given-names>
</string-name>, <string-name>
<surname>Yeh</surname>
<given-names>MC</given-names>
</string-name>, <string-name>
<surname>Nawaz</surname>
<given-names>H</given-names>
</string-name>, <string-name>
<surname>Njike</surname>
<given-names>V</given-names>
</string-name>, <string-name>
<surname>Anderson</surname>
<given-names>LM</given-names>
</string-name>, <etal/>
<article-title>Public health strategies for preventing and controlling
overweight and obesity in school and worksite settings: a report on
recommendations of the Task Force on Community Preventive
Services.</article-title>
<source>MMWR Recomm Rep</source>
<year>2005</year>;<volume>54</volume>(<issue>RR-10</issue>):<fpage>1</fpage>&#x02013;<lpage>12</lpage>.
<pub-id pub-id-type="pmid">16261131</pub-id></mixed-citation></ref><ref id="R3"><label>3. </label><mixed-citation publication-type="journal">
<string-name>
<surname>Heinen</surname>
<given-names>L</given-names>
</string-name>, <string-name>
<surname>Darling</surname>
<given-names>H</given-names>
</string-name>. <article-title>Addressing obesity in the workplace: the role of
employers.</article-title>
<source>Milbank Q</source>
<year>2009</year>;<volume>87</volume>(<issue>1</issue>):<fpage>101</fpage>&#x02013;<lpage>22</lpage>.
<pub-id pub-id-type="doi">10.1111/j.1468-0009.2009.00549.x</pub-id>
<pub-id pub-id-type="pmid">19298417</pub-id></mixed-citation></ref><ref id="R4"><label>4. </label><mixed-citation publication-type="journal">
<string-name>
<surname>Thorpe</surname>
<given-names>KE</given-names>
</string-name>, <string-name>
<surname>Florence</surname>
<given-names>CS</given-names>
</string-name>, <string-name>
<surname>Howard</surname>
<given-names>DH</given-names>
</string-name>, <string-name>
<surname>Joski</surname>
<given-names>P</given-names>
</string-name>. <article-title>The impact of obesity on rising medical
spending.</article-title>
<source>Health Aff (Millwood)</source>
<year>2004</year>;<volume>23</volume>(<issue>Suppl</issue>):<fpage>W4-480</fpage>&#x02013;<lpage>6</lpage>.
<pub-id pub-id-type="doi">10.1377/hlthaff.W4.480</pub-id>
<pub-id pub-id-type="pmid">15496437</pub-id></mixed-citation></ref><ref id="R5"><label>5. </label><mixed-citation publication-type="journal">
<string-name>
<surname>Crandall</surname>
<given-names>JP</given-names>
</string-name>, <string-name>
<surname>Knowler</surname>
<given-names>WC</given-names>
</string-name>, <string-name>
<surname>Kahn</surname>
<given-names>SE</given-names>
</string-name>, <string-name>
<surname>Marrero</surname>
<given-names>D</given-names>
</string-name>, <string-name>
<surname>Florez</surname>
<given-names>JC</given-names>
</string-name>, <string-name>
<surname>Bray</surname>
<given-names>GA</given-names>
</string-name>, <etal/>
<article-title>The prevention of type 2 diabetes.</article-title>
<source>Nat Clin Pract Endocrinol Metab</source>
<year>2008</year>;<volume>4</volume>(<issue>7</issue>):<fpage>382</fpage>&#x02013;<lpage>93</lpage>.
<pub-id pub-id-type="doi">10.1038/ncpendmet0843</pub-id>
<pub-id pub-id-type="pmid">18493227</pub-id></mixed-citation></ref><ref id="R6"><label>6. </label><mixed-citation publication-type="journal">
<string-name>
<surname>Albright</surname>
<given-names>AL</given-names>
</string-name>, <string-name>
<surname>Gregg</surname>
<given-names>EW</given-names>
</string-name>. <article-title>Preventing type 2 diabetes in communities across
the U.S.: the National Diabetes Prevention Program.</article-title>
<source>Am J Prev Med</source>
<year>2013</year>;<volume>44</volume>(<issue>Suppl
4</issue>):<fpage>S346</fpage>&#x02013;<lpage>51</lpage>. <pub-id pub-id-type="doi">10.1016/j.amepre.2012.12.009</pub-id>
<pub-id pub-id-type="pmid">23498297</pub-id></mixed-citation></ref><ref id="R7"><label>7. </label><mixed-citation publication-type="journal">
<string-name>
<surname>Hafez</surname>
<given-names>D</given-names>
</string-name>, <string-name>
<surname>Fedewa</surname>
<given-names>A</given-names>
</string-name>, <string-name>
<surname>Moran</surname>
<given-names>M</given-names>
</string-name>, <string-name>
<surname>O&#x02019;Brien</surname>
<given-names>M</given-names>
</string-name>, <string-name>
<surname>Ackermann</surname>
<given-names>R</given-names>
</string-name>, <string-name>
<surname>Kullgren</surname>
<given-names>JT</given-names>
</string-name>. <article-title>Workplace interventions to prevent type 2
diabetes mellitus: a narrative review.</article-title>
<source>Curr Diab Rep</source>
<year>2017</year>;<volume>17</volume>(<issue>2</issue>):<fpage>9</fpage>.
<pub-id pub-id-type="doi">10.1007/s11892-017-0840-0</pub-id>
<pub-id pub-id-type="pmid">28150162</pub-id></mixed-citation></ref><ref id="R8"><label>8. </label><mixed-citation publication-type="web">
<collab>Centers for Disease Control and Prevention</collab>. Approaches to
employer coverage of the National Diabetes Prevention Program for employees at
risk for type 2 diabetes. <year>2016</year>
<ext-link ext-link-type="uri" xlink:href="https://www.cdc.gov/diabetes/pdfs/programs/stateandlocal/emerging_practices-employer_coverage.pdf">https://www.cdc.gov/diabetes/pdfs/programs/stateandlocal/emerging_practices-employer_coverage.pdf</ext-link>.
Accessed July 3, 2019.</mixed-citation></ref><ref id="R9"><label>9. </label><mixed-citation publication-type="journal">
<string-name>
<surname>Mudaliar</surname>
<given-names>U</given-names>
</string-name>, <string-name>
<surname>Zabetian</surname>
<given-names>A</given-names>
</string-name>, <string-name>
<surname>Goodman</surname>
<given-names>M</given-names>
</string-name>, <string-name>
<surname>Echouffo-Tcheugui</surname>
<given-names>JB</given-names>
</string-name>, <string-name>
<surname>Albright</surname>
<given-names>AL</given-names>
</string-name>, <string-name>
<surname>Gregg</surname>
<given-names>EW</given-names>
</string-name>, <etal/>
<article-title>Cardiometabolic risk factor changes observed in diabetes
prevention programs in US settings: a systematic review and
meta-analysis.</article-title>
<source>PLoS Med</source>
<year>2016</year>;<volume>13</volume>(<issue>7</issue>):<elocation-id>e1002095</elocation-id>.
<pub-id pub-id-type="doi">10.1371/journal.pmed.1002095</pub-id>
<pub-id pub-id-type="pmid">27459705</pub-id></mixed-citation></ref><ref id="R10"><label>10. </label><mixed-citation publication-type="web">
<collab>Centers for Disease Control and Prevention</collab>. Centers for Disease
Control and Prevention Diabetes Prevention Recognition Program standards and
operating procedures. <year>2018</year>
<ext-link ext-link-type="uri" xlink:href="https://www.cdc.gov/diabetes/prevention/pdf/dprp-standards.pdf">https://www.cdc.gov/diabetes/prevention/pdf/dprp-standards.pdf</ext-link>.
Accessed July 3, 2019.</mixed-citation></ref><ref id="R11"><label>11. </label><mixed-citation publication-type="journal">
<string-name>
<surname>Ely</surname>
<given-names>EK</given-names>
</string-name>, <string-name>
<surname>Gruss</surname>
<given-names>SM</given-names>
</string-name>, <string-name>
<surname>Luman</surname>
<given-names>ET</given-names>
</string-name>, <string-name>
<surname>Gregg</surname>
<given-names>EW</given-names>
</string-name>, <string-name>
<surname>Ali</surname>
<given-names>MK</given-names>
</string-name>, <string-name>
<surname>Nhim</surname>
<given-names>K</given-names>
</string-name>, <etal/>
<article-title>A national effort to prevent type 2 diabetes: participant-level
evaluation of CDC&#x02019;s National Diabetes Prevention
Program.</article-title>
<source>Diabetes Care</source>
<year>2017</year>;<volume>40</volume>(<issue>10</issue>):<fpage>1331</fpage>&#x02013;<lpage>41</lpage>.
<pub-id pub-id-type="doi">10.2337/dc16-2099</pub-id>
<pub-id pub-id-type="pmid">28500215</pub-id></mixed-citation></ref><ref id="R12"><label>12. </label><mixed-citation publication-type="web">
<collab>Centers for Disease Control and Prevention</collab>. Centers for Disease
Control and Prevention Diabetes Prevention Recognition Program standards and
operating procedures. <year>2015</year>
<ext-link ext-link-type="uri" xlink:href="https://www.cdc.gov/diabetes/prevention/pdf/DPRP_Standards_09-02-2011.pdf">https://www.cdc.gov/diabetes/prevention/pdf/DPRP_Standards_09-02-2011.pdf</ext-link>.
Accessed July 3, 2019.</mixed-citation></ref><ref id="R13"><label>13. </label><mixed-citation publication-type="web">
<collab>American Diabetes Association</collab>. Are you at risk for type 2
diabetes? <ext-link ext-link-type="uri" xlink:href="http://main.diabetes.org/dorg/PDFs/risk-test-paper-version.pdf">http://main.diabetes.org/dorg/PDFs/risk-test-paper-version.pdf</ext-link>.
Accessed May 4, 2018.</mixed-citation></ref><ref id="R14"><label>14. </label><mixed-citation publication-type="web">
<collab>Centers for Disease Control and Prevention</collab>. CDC prediabetes
screening test. https://www.cdc.gov/diabetes/prevention/pdf/prediabetestest.pdf.
Accessed May 4, 2018.</mixed-citation></ref><ref id="R15"><label>15. </label><mixed-citation publication-type="web">
<collab>Centers for Disease Control and Prevention</collab>. National Diabetes
Prevention Program curricula and handouts <year>2017</year>
<ext-link ext-link-type="uri" xlink:href="https://www.cdc.gov/diabetes/prevention/lifestyle-program/curriculum.html">https://www.cdc.gov/diabetes/prevention/lifestyle-program/curriculum.html</ext-link>.
Updated March 10, 2017. Accessed October 7, 2017.</mixed-citation></ref><ref id="R16"><label>16. </label><mixed-citation publication-type="web">REDCap: Research Electronic Data Capture.
<ext-link ext-link-type="uri" xlink:href="https://projectredcap.org/about">https://projectredcap.org/about</ext-link>. Accessed July 17,
2019.</mixed-citation></ref><ref id="R17"><label>17. </label><mixed-citation publication-type="web">
<collab>R Core Team</collab>. R: A language and environment for statistical
computing. Vienna (AT): R Foundation for Statistical Computing: 2018. <ext-link ext-link-type="uri" xlink:href="https://www.R-project.org">https://www.R-project.org</ext-link>.
Accessed July 17, 2019.</mixed-citation></ref><ref id="R18"><label>18. </label><mixed-citation publication-type="journal">
<string-name>
<surname>Ali</surname>
<given-names>MK</given-names>
</string-name>, <string-name>
<surname>Echouffo-Tcheugui</surname>
<given-names>J</given-names>
</string-name>, <string-name>
<surname>Williamson</surname>
<given-names>DF</given-names>
</string-name>. <article-title>How effective were lifestyle interventions in
real-world settings that were modeled on the Diabetes Prevention
Program?</article-title>
<source>Health Aff (Millwood)</source>
<year>2012</year>;<volume>31</volume>(<issue>1</issue>):<fpage>67</fpage>&#x02013;<lpage>75</lpage>.
<pub-id pub-id-type="doi">10.1377/hlthaff.2011.1009</pub-id>
<pub-id pub-id-type="pmid">22232096</pub-id></mixed-citation></ref><ref id="R19"><label>19. </label><mixed-citation publication-type="web">
<collab>Centers for Disease Control and Prevention</collab>. Diabetes prevention
impact toolkit. <ext-link ext-link-type="uri" xlink:href="https://nccd.cdc.gov/toolkit/diabetesimpact">https://nccd.cdc.gov/toolkit/diabetesimpact</ext-link>. Accessed April 21,
2018.</mixed-citation></ref><ref id="R20"><label>20. </label><mixed-citation publication-type="web">
<collab>RTI International</collab>. Technical report for the diabetes prevention
impact toolkit. <year>2016</year>
<ext-link ext-link-type="uri" xlink:href="https://www.cdc.gov/diabetes/prevention/pdf/Impact_Toolkit_TechnicalReport.pdf">https://www.cdc.gov/diabetes/prevention/pdf/Impact_Toolkit_TechnicalReport.pdf</ext-link>.
Accessed July 3, 2019.</mixed-citation></ref><ref id="R21"><label>21. </label><mixed-citation publication-type="journal">
<string-name>
<surname>Grosch</surname>
<given-names>JW</given-names>
</string-name>, <string-name>
<surname>Alterman</surname>
<given-names>T</given-names>
</string-name>, <string-name>
<surname>Petersen</surname>
<given-names>MR</given-names>
</string-name>, <string-name>
<surname>Murphy</surname>
<given-names>LR</given-names>
</string-name>. <article-title>Worksite health promotion programs in the U.S.:
factors associated with availability and participation.</article-title>
<source>Am J Health Promot</source>
<year>1998</year>;<volume>13</volume>(<issue>1</issue>):<fpage>36</fpage>&#x02013;<lpage>45</lpage>.
<pub-id pub-id-type="doi">10.4278/0890-1171-13.1.36</pub-id>
<pub-id pub-id-type="pmid">10186933</pub-id></mixed-citation></ref><ref id="R22"><label>22. </label><mixed-citation publication-type="other">
<string-name>
<surname>Mattke</surname>
<given-names>S</given-names>
</string-name>, <string-name>
<surname>Liu</surname>
<given-names>HH</given-names>
</string-name>, <string-name>
<surname>Caloyeras</surname>
<given-names>J</given-names>
</string-name>, <string-name>
<surname>Huang</surname>
<given-names>CY</given-names>
</string-name>, <string-name>
<surname>Busum</surname>
<given-names>KRV</given-names>
</string-name>, <string-name>
<surname>Khodyakov</surname>
<given-names>D</given-names>
</string-name>, <etal/> Workplace wellness programs study: final report. Santa
Monica (CA): Rand Corporation; <year>2013</year>.</mixed-citation></ref><ref id="R23"><label>23. </label><mixed-citation publication-type="journal">
<string-name>
<surname>Hill-Mey</surname>
<given-names>PE</given-names>
</string-name>, <string-name>
<surname>Merrill</surname>
<given-names>RM</given-names>
</string-name>, <string-name>
<surname>Kumpfer</surname>
<given-names>KL</given-names>
</string-name>, <string-name>
<surname>Reel</surname>
<given-names>J</given-names>
</string-name>, <string-name>
<surname>Hyatt-Neville</surname>
<given-names>B</given-names>
</string-name>. <article-title>A focus group assessment to determine
motivations, barriers and effectiveness of a university-based worksite
wellness program.</article-title>
<source>Health Promot Perspect</source>
<year>2013</year>;<volume>3</volume>(<issue>2</issue>):<fpage>154</fpage>&#x02013;<lpage>64</lpage>.
<pub-id pub-id-type="pmid">24688965</pub-id></mixed-citation></ref><ref id="R24"><label>24. </label><mixed-citation publication-type="journal">
<string-name>
<surname>Person</surname>
<given-names>AL</given-names>
</string-name>, <string-name>
<surname>Colby</surname>
<given-names>SE</given-names>
</string-name>, <string-name>
<surname>Bulova</surname>
<given-names>JA</given-names>
</string-name>, <string-name>
<surname>Eubanks</surname>
<given-names>JW</given-names>
</string-name>. <article-title>Barriers to participation in a worksite wellness
program.</article-title>
<source>Nutr Res Pract</source>
<year>2010</year>;<volume>4</volume>(<issue>2</issue>):<fpage>149</fpage>&#x02013;<lpage>54</lpage>.
<pub-id pub-id-type="doi">10.4162/nrp.2010.4.2.149</pub-id>
<pub-id pub-id-type="pmid">20461204</pub-id></mixed-citation></ref><ref id="R25"><label>25. </label><mixed-citation publication-type="journal">
<string-name>
<surname>Aziz</surname>
<given-names>Z</given-names>
</string-name>, <string-name>
<surname>Absetz</surname>
<given-names>P</given-names>
</string-name>, <string-name>
<surname>Oldroyd</surname>
<given-names>J</given-names>
</string-name>, <string-name>
<surname>Pronk</surname>
<given-names>NP</given-names>
</string-name>, <string-name>
<surname>Oldenburg</surname>
<given-names>B</given-names>
</string-name>. <article-title>A systematic review of real-world diabetes
prevention programs: learnings from the last 15 years.</article-title>
<source>Implement Sci</source>
<year>2015</year>;<volume>10</volume>(<issue>1</issue>):<fpage>172</fpage>.
<pub-id pub-id-type="doi">10.1186/s13012-015-0354-6</pub-id>
<pub-id pub-id-type="pmid">26670418</pub-id></mixed-citation></ref><ref id="R26"><label>26. </label><mixed-citation publication-type="journal">
<string-name>
<surname>Venkataramani</surname>
<given-names>M</given-names>
</string-name>, <string-name>
<surname>Pollack</surname>
<given-names>CE</given-names>
</string-name>, <string-name>
<surname>Yeh</surname>
<given-names>H-C</given-names>
</string-name>, <string-name>
<surname>Maruthur</surname>
<given-names>NM</given-names>
</string-name>. <article-title>Prevalence and correlates of Diabetes Prevention
Program referral and participation.</article-title>
<source>Am J Prev Med</source>
<year>2019</year>;<volume>56</volume>(<issue>3</issue>):<fpage>452</fpage>&#x02013;<lpage>7</lpage>.
<pub-id pub-id-type="doi">10.1016/j.amepre.2018.10.005</pub-id>
<pub-id pub-id-type="pmid">30661888</pub-id></mixed-citation></ref><ref id="R27"><label>27. </label><mixed-citation publication-type="journal">
<string-name>
<surname>Byrne</surname>
<given-names>DW</given-names>
</string-name>, <string-name>
<surname>Goetzel</surname>
<given-names>RZ</given-names>
</string-name>, <string-name>
<surname>McGown</surname>
<given-names>PW</given-names>
</string-name>, <string-name>
<surname>Holmes</surname>
<given-names>MC</given-names>
</string-name>, <string-name>
<surname>Beckowski</surname>
<given-names>MS</given-names>
</string-name>, <string-name>
<surname>Tabrizi</surname>
<given-names>MJ</given-names>
</string-name>, <etal/>
<article-title>Seven-year trends in employee health habits from a comprehensive
workplace health promotion program at Vanderbilt University.</article-title>
<source>J Occup Environ Med</source>
<year>2011</year>;<volume>53</volume>(<issue>12</issue>):<fpage>1372</fpage>&#x02013;<lpage>81</lpage>.
<pub-id pub-id-type="doi">10.1097/JOM.0b013e318237a19c</pub-id>
<pub-id pub-id-type="pmid">22104977</pub-id></mixed-citation></ref><ref id="R28"><label>28. </label><mixed-citation publication-type="journal">
<string-name>
<surname>Hall</surname>
<given-names>JL</given-names>
</string-name>, <string-name>
<surname>Kelly</surname>
<given-names>KM</given-names>
</string-name>, <string-name>
<surname>Burmeister</surname>
<given-names>LF</given-names>
</string-name>, <string-name>
<surname>Merchant</surname>
<given-names>JA</given-names>
</string-name>. <article-title>Workforce characteristics and attitudes regarding
participation in worksite wellness programs.</article-title>
<source>Am J Health Promot</source>
<year>2017</year>;<volume>31</volume>(<issue>5</issue>):<fpage>391</fpage>&#x02013;<lpage>400</lpage>.
<pub-id pub-id-type="doi">10.4278/ajhp.140613-QUAN-283</pub-id>
<pub-id pub-id-type="pmid">26730552</pub-id></mixed-citation></ref><ref id="R29"><label>29. </label><mixed-citation publication-type="journal">
<string-name>
<surname>O&#x02019;Donnell</surname>
<given-names>MP</given-names>
</string-name>. <article-title>A simple framework to describe what works best:
improving awareness, enhancing motivation, building skills, and providing
opportunity.</article-title>
<source>Am J Health Promot</source>
<year>2005</year>;<volume>20</volume>(<issue>1</issue>):<fpage>1</fpage>&#x02013;<lpage>7,
84, iii</lpage>. <pub-id pub-id-type="doi">10.4278/0890-1171-20.1.TAHP-1</pub-id>
<pub-id pub-id-type="pmid">16295707</pub-id></mixed-citation></ref></ref-list></back></article>