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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article"><?properties manuscript?><front><journal-meta><journal-id journal-id-type="nlm-journal-id">101463825</journal-id><journal-id journal-id-type="pubmed-jr-id">34605</journal-id><journal-id journal-id-type="nlm-ta">Prim Care Diabetes</journal-id><journal-id journal-id-type="iso-abbrev">Prim Care Diabetes</journal-id><journal-title-group><journal-title>Primary care diabetes</journal-title></journal-title-group><issn pub-type="ppub">1751-9918</issn><issn pub-type="epub">1878-0210</issn></journal-meta><article-meta><article-id pub-id-type="pmid">24216319</article-id><article-id pub-id-type="pmc">4387563</article-id><article-id pub-id-type="doi">10.1016/j.pcd.2013.10.004</article-id><article-id pub-id-type="manuscript">HHSPA674323</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Prevalence of undiagnosed diabetes among non-pregnant women of reproductive age in the United States, 1999&#x02013;2010</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Razzaghi</surname><given-names>Hilda</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Marcinkevage</surname><given-names>Jessica</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Peterson</surname><given-names>Cora</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A1">1</xref></contrib></contrib-group><aff id="A1"><label>1</label>National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA</aff><aff id="A2"><label>2</label> Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee</aff><aff id="A3"><label>3</label>Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA 30322, USA</aff><author-notes><corresp id="CR1"><underline>Address correspondence to:</underline> Hilda Razzaghi, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, 1600 Clifton Rd NE, MS E-86, Atlanta, GA 30333</corresp><fn id="FN3"><p id="P1"><underline>Contributor&#x02019;s statement</underline>: HR, JM and CP designed the study, wrote the manuscript, and approved the final manuscript as submitted. JM and HR performed the statistical analysis and are the guarantors of this work and, as such, had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.</p></fn></author-notes><pub-date pub-type="nihms-submitted"><day>24</day><month>3</month><year>2015</year></pub-date><pub-date pub-type="epub"><day>09</day><month>11</month><year>2013</year></pub-date><pub-date pub-type="ppub"><month>2</month><year>2015</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>2</month><year>2016</year></pub-date><volume>9</volume><issue>1</issue><fpage>71</fpage><lpage>73</lpage><!--elocation-id from pubmed: 10.1016/j.pcd.2013.10.004--><kwd-group><kwd>diabetes mellitus/diagnosis</kwd><kwd>diabetes mellitus/epidemiology</kwd><kwd>pregnancy complications</kwd></kwd-group></article-meta></front><body><p id="P2">Undiagnosed diabetes affects an estimated 1.8-2.3% of the United States (US) adult population &#x02265;20 years of age [<xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R2" ref-type="bibr">2</xref>]. Undiagnosed diabetes can have particularly harmful consequences among women of reproductive age because pre-gestational diabetes mellitus (PGDM) is associated with a substantially increased risk of adverse birth outcomes in pregnant women [<xref rid="R3" ref-type="bibr">3</xref>-<xref rid="R7" ref-type="bibr">7</xref>]. Timely preconception care for women with PGDM can reduce the incidence of adverse birth outcomes, including preterm delivery, congenital malformations, and perinatal death [<xref rid="R8" ref-type="bibr">8</xref>,<xref rid="R9" ref-type="bibr">9</xref>]. We aimed to assess the prevalence of undiagnosed diabetes and those at high risk for developing diabetes among non-pregnant women of reproductive age in the US.</p><p id="P3">We applied the methods reported in Cowie, et al. [<xref rid="R1" ref-type="bibr">1</xref>] essentially to a subset of the population examined in that analysis (the notable deviation is that our analysis included more years of data than Cowie, et al.). Using data from the 1999-2010 National Health and Nutrition Examination Surveys (NHANES), we examined fasting plasma glucose (FPG) (assessed 1999-2010) and A1C (assessed 1999-2006) laboratory values among women age 15-44 with no self-reported diabetes diagnosis (based on whether, other than during pregnancy, a doctor or health care professional ever told them they had diabetes). NHANES is designed to be representative of the US population and includes an in-home questionnaire and an examination at a Mobile Examination Center [<xref rid="R10" ref-type="bibr">10</xref>].</p><p id="P4">From 1999-2010, 10,700 women age 15-44 participated in the interview portion of NHANES, among whom 209 reported a diabetes diagnosis. Among 10,491 women who reported no diabetes diagnosis, 6,881 (65.6%, based on survey sample weights) and 4,352 (41.5%) had A1C and FPG laboratory values available for analysis, respectively. Among those, 30 had A1C values suggesting undiagnosed diabetes (A1C &#x02265;6.5), compared to 28 based on FPG values (&#x02265;126 mg/dl) (Table). Although there was not sufficient sample size to produce reliable estimates of the percentage of non-pregnant US women of reproductive age with undiagnosed diabetes based on these data, the weighted survey estimates suggest it may be approximately 0.5%. The current population of US women age 15-44 is 61,606,000 [<xref rid="R11" ref-type="bibr">11</xref>]. Our results suggest approximately 300,000 women of reproductive age nationwide may have undiagnosed diabetes. An additional 284 (4.0%) and 438 (11.2%) women from our sample were at risk of diabetes based on A1C values (5.7-&#x0003c;6.5%) and FPG values (100-&#x0003c;126 mg/dl), respectively, suggesting approximately 2.5 to 7 million more women of reproductive age may be at risk for diabetes (Table). Given that 49% of pregnancies in the U.S. are unplanned, our findings suggest many pregnancies might be affected by unrecognized diabetes [<xref rid="R12" ref-type="bibr">12</xref>].</p><p id="P5">Among pregnant women 15-44 years in NHANES 1999-2010 (n=1,173), none had undiagnosed diabetes based on our criteria. However, we show here a noteworthy number of women who may become pregnant have elevated glucose values; this has serious implications for women&#x02019;s health during pregnancy and the postpartum period, as well as the health of the developing fetus. Identifying and treating women with elevated glucose in the preconception period might ultimately help reduce adverse birth outcomes for thousands of women nationwide.</p><p id="P6">The prevalence of undiagnosed diabetes in the general US population varies significantly by age and race/ethnicity [<xref rid="R1" ref-type="bibr">1</xref>]. Even with the power of the NHANES data, the population we examined was small and therefore the estimates were somewhat unstable. This issue inhibited examination of differences by women&#x02019;s demographic characteristics&#x02014;including race/ethnicity&#x02014;as well as the scope of conclusions we can draw from our results. Because of these drawbacks, explanation of our analysis was best suited to a brief report format. However, these results point to the importance of additional future examination of undiagnosed and pre-diabetes among women of reproductive age.</p></body><back><ack id="S2"><p><underline>Funding Source:</underline> No external funding was used for this research.</p><p>The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.</p></ack><fn-group><fn id="FN1"><p id="P7"><underline>Financial Disclosures:</underline> The authors have no relevant financial relationships to disclose.</p></fn><fn id="FN2"><p id="P8"><underline>Conflicts of Interest:</underline> The authors have no conflicts of interest to disclose.</p></fn></fn-group><glossary><title>Abbreviations</title><def-list><def-item><term>NHANES</term><def><p>National Health and Nutrition Examination Survey</p></def></def-item><def-item><term>PGDM</term><def><p>pre-gestational diabetes mellitus</p></def></def-item></def-list></glossary><ref-list><title>REFERENCES</title><ref id="R1"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cowie</surname><given-names>CC</given-names></name><name><surname>Rust</surname><given-names>KF</given-names></name><name><surname>Byrd-Holt</surname><given-names>DD</given-names></name><etal/></person-group><article-title>Prevalence of diabetes and high risk for diabetes using A1C criteria in the U.S. population in 1988-2006</article-title><source>Diabetes Care</source><year>2010</year><volume>33</volume><fpage>562</fpage><lpage>568</lpage><pub-id pub-id-type="pmid">20067953</pub-id></element-citation></ref><ref id="R2"><label>2</label><element-citation publication-type="web"><person-group person-group-type="author"><collab>Centers for Disease Control and Prevention</collab></person-group><source>National Diabetes Fact Sheet, 2011</source><comment><ext-link ext-link-type="uri" xlink:href="http://www.cdc.gov/diabetes/pubs/pdf/ndfs_2011.pdf">http://www.cdc.gov/diabetes/pubs/pdf/ndfs_2011.pdf</ext-link></comment></element-citation></ref><ref id="R3"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Correa</surname><given-names>A</given-names></name><name><surname>Gilboa</surname><given-names>SM</given-names></name><name><surname>Besser</surname><given-names>LM</given-names></name><etal/></person-group><article-title>Diabetes mellitus and birth defects</article-title><source>Am J Obstet Gynecol</source><year>2008</year><volume>199</volume><fpage>237 e231</fpage><lpage>239</lpage><pub-id pub-id-type="pmid">18674752</pub-id></element-citation></ref><ref id="R4"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mathiesen</surname><given-names>E</given-names></name><name><surname>Ringholm</surname><given-names>L</given-names></name><name><surname>Damm</surname><given-names>P</given-names></name></person-group><article-title>Stillbirth in diabetic pregnancies</article-title><source>Best Pract Res Clin Obstet Gynaecol</source><year>2011</year><volume>25</volume><fpage>105</fpage><lpage>111</lpage><pub-id pub-id-type="pmid">21256813</pub-id></element-citation></ref><ref id="R5"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Taylor</surname><given-names>R</given-names></name><name><surname>Davison</surname><given-names>JM</given-names></name></person-group><article-title>Type 1 diabetes and pregnancy</article-title><source>Br Med J</source><year>2007</year><volume>334</volume><fpage>742</fpage><lpage>745</lpage><pub-id pub-id-type="pmid">17413175</pub-id></element-citation></ref><ref id="R6"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Temple</surname><given-names>R</given-names></name><name><surname>Murphy</surname><given-names>H</given-names></name></person-group><article-title>Type 2 diabetes in pregnancy - An increasing problem</article-title><source>Best Pract Res Clin Endocrinol Metab</source><year>2010</year><volume>24</volume><fpage>591</fpage><lpage>603</lpage><pub-id pub-id-type="pmid">20832738</pub-id></element-citation></ref><ref id="R7"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname><given-names>J</given-names></name><name><surname>Cummings</surname><given-names>EA</given-names></name><name><surname>O'Connell</surname><given-names>C</given-names></name><name><surname>Jangaard</surname><given-names>K</given-names></name></person-group><article-title>Fetal and neonatal outcomes of diabetic pregnancies</article-title><source>Obstet Gynecol</source><year>2006</year><volume>108</volume><fpage>644</fpage><lpage>650</lpage><pub-id pub-id-type="pmid">16946226</pub-id></element-citation></ref><ref id="R8"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wahabi</surname><given-names>HA</given-names></name><name><surname>Alzeidan</surname><given-names>RA</given-names></name><name><surname>Bawazeer</surname><given-names>GA</given-names></name><etal/></person-group><article-title>Preconception care for diabetic women for improving maternal and fetal outcomes: a systematic review and meta-analysis</article-title><source>BMC Pregnancy Childbirth</source><year>2010</year><volume>10</volume><fpage>63</fpage><pub-id pub-id-type="pmid">20946676</pub-id></element-citation></ref><ref id="R9"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ray</surname><given-names>JG</given-names></name><name><surname>Berger</surname><given-names>H</given-names></name><name><surname>Lipscombe</surname><given-names>LL</given-names></name><name><surname>Sermer</surname><given-names>M</given-names></name></person-group><article-title>Gestational prediabetes: a new term for early prevention?</article-title><source>Indian J Med Res</source><year>2010</year><volume>132</volume><fpage>251</fpage><lpage>255</lpage><pub-id pub-id-type="pmid">20847369</pub-id></element-citation></ref><ref id="R10"><label>10</label><element-citation publication-type="web"><source>National Health and Nutrition Examination Survey 1988&#x02013;1994, 1999&#x02013;2002, 2003&#x02013;2006, 2009 [article online]</source><comment>Available from <ext-link ext-link-type="uri" xlink:href="http://www.cdc.gov/nchs/nhanes/about_nhanes.htm">http://www.cdc.gov/nchs/nhanes/about_nhanes.htm</ext-link>. Accessed 2 May 2013</comment></element-citation></ref><ref id="R11"><label>11</label><element-citation publication-type="web"><source>Population by Age and Sex (2011) [article online]</source><year>2013</year><comment>Available from <ext-link ext-link-type="uri" xlink:href="http://www.census.gov/population/age/data/2011comp.html">http://www.census.gov/population/age/data/2011comp.html</ext-link>. Accessed 2 May 2013</comment></element-citation></ref><ref id="R12"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Finer</surname><given-names>LB</given-names></name><name><surname>Zolna</surname><given-names>MR</given-names></name></person-group><article-title>Unintended pregnancy in the United States: incidence and disparities, 2006</article-title><source>Contraception</source><year>2011</year><volume>84</volume><fpage>478</fpage><lpage>485</lpage><pub-id pub-id-type="pmid">22018121</pub-id></element-citation></ref></ref-list></back><floats-group><table-wrap id="T1" position="float" orientation="portrait"><label>Table</label><caption><p>A1C and fasting plasma glucose levels among non-pregnant women age 15-44 without diagnosed diabetes, National Health and Nutrition Surveys (NHANES), 1999-2010</p></caption><table frame="box" rules="none"><thead><tr><th colspan="3" align="center" valign="middle" rowspan="1">Hemoglobin A1C <break/>(1999-2006) <break/>(n=6881, n<sub>weighted</sub>=37,720,319)</th><th colspan="3" align="center" valign="middle" rowspan="1">Fasting plasma glucose (FPG) <break/>(1999-2010) <break/>(n=4352, n<sub>weighted</sub>=60,266,892)</th></tr><tr><th align="center" valign="middle" rowspan="1" colspan="1">Normal/low <break/>&#x0003c;5.7%</th><th align="center" valign="middle" rowspan="1" colspan="1">At risk of <break/>diabetes <break/>5.7-&#x0003c;6.5%</th><th align="center" valign="middle" rowspan="1" colspan="1">Diabetes <break/>6.5+</th><th align="center" valign="middle" rowspan="1" colspan="1">Normal/low <break/>&#x0003c;100 mg/dl</th><th align="center" valign="middle" rowspan="1" colspan="1">At risk of <break/>diabetes <break/>100-&#x0003c;126 mg/dl</th><th align="center" valign="middle" rowspan="1" colspan="1">Diabetes <break/>126+ mg/dl</th></tr><tr><th colspan="6" align="center" valign="middle" rowspan="1">
<hr/>
</th></tr></thead><tbody><tr><td align="center" valign="middle" rowspan="1" colspan="1">6,567 (95.5%<sup><xref ref-type="table-fn" rid="TFN1">1</xref></sup>)</td><td align="center" valign="middle" rowspan="1" colspan="1">284<xref ref-type="table-fn" rid="TFN3">**</xref> (4.0%<sup><xref ref-type="table-fn" rid="TFN1">1</xref></sup>)</td><td align="center" valign="middle" rowspan="1" colspan="1">30<xref ref-type="table-fn" rid="TFN2">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">3,886 (88.1%<sup><xref ref-type="table-fn" rid="TFN1">1</xref></sup>)</td><td align="center" valign="middle" rowspan="1" colspan="1">438<sup><xref ref-type="table-fn" rid="TFN4">#</xref></sup> (11.2%<sup><xref ref-type="table-fn" rid="TFN1">1</xref></sup>)</td><td align="center" valign="middle" rowspan="1" colspan="1">28<xref ref-type="table-fn" rid="TFN2">*</xref></td></tr></tbody></table><table-wrap-foot><p><italic>Notes.</italic> Includes women who self-reported no diabetes diagnosis and had recorded A1C/FPG laboratory values.</p><fn id="TFN1"><label>1</label><p id="P9">Weighted percentages.</p></fn><fn id="TFN2"><label>*</label><p id="P10">Estimates suppressed because minimum degrees of freedom (12) for strata not met.</p></fn><fn id="TFN3"><label>**</label><p id="P11">Approximately 2.5 million women of childbearing age may be at risk for diabetes.</p></fn><fn id="TFN4"><label>#</label><p id="P12">Approximately 7 million women of childbearing age may be at risk for diabetes</p></fn></table-wrap-foot></table-wrap></floats-group></article>