Prev Chronic DisPrev Chronic DisPreventing Chronic Disease1545-1151Centers for Disease Control and Prevention224980373396549PCDv9_11_0204Original ResearchBinge Drinking Intensity and Health-Related Quality of Life Among US Adult Binge DrinkersWenXiao-JunMDCenters for Disease Control and Prevention, Atlanta, GeorgiaKannyDafnaPhDDivision of Adult and Community Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention
4770 Buford Hwy NE, MS K-67, Atlanta, GA 30341770-488-5411dkk3@cdc.gov
ThompsonWilliam W.PhDCenters for Disease Control and Prevention, Atlanta, GeorgiaOkoroCatherine A.MSCenters for Disease Control and Prevention, Atlanta, GeorgiaTownMachellMSCenters for Disease Control and Prevention, Atlanta, GeorgiaBalluzLina S.ScD, MPHCenters for Disease Control and Prevention, Atlanta, Georgia
201212420129E862012Introduction

Binge drinking (men, ≥5 drinks, women, ≥4 on an occasion) accounts for more than half of the 79,000 annual deaths due to excessive alcohol use in the United States. The frequency of binge drinking is associated with poor health-related quality of life (HRQOL), but the association between binge drinking intensity and HRQOL is unknown. Our objective was to examine this association.

Methods

We used 2008-2010 Behavioral Risk Factor Surveillance System data and multivariate linear regression models to examine the association between binge drinking intensity (largest number of drinks consumed on any occasion) among US adult binge drinkers and 2 HRQOL indicators: number of physically and mentally unhealthy days.

Results

Among binge drinkers, the highest-intensity binge drinkers (women consuming ≥7 drinks and men consuming ≥8 drinks on any occasion) were more likely to report poor HRQOL than binge drinkers who reported lower levels of intensity (women who consumed 4 drinks and men who consumed 5 drinks on any occasion). On average, female binge drinkers reported more physically and mentally unhealthy days (2.8 d and 5.1 d, respectively) than male binge drinkers (2.5 d and 3.6 d, respectively). After adjustment for confounding factors, women who consumed ≥7 drinks on any occasion reported more mentally unhealthy days (6.3 d) than women who consumed 4 drinks (4.6 d). Compared with male binge drinkers across the age groups, female binge drinkers had a significantly higher mean number of mentally unhealthy days.

Conclusion

Our findings underscore the importance of implementing effective population-level strategies to prevent binge drinking and improve HRQOL.

MEDSCAPE CME

Medscape, LLC is pleased to provide online continuing medical education (CME) for this journal article, allowing clinicians the opportunity to earn CME credit.

This activity has been planned and implemented in accordance with the Essential Areas and policies of the Accreditation Council for Continuing Medical Education through the joint sponsorship of Medscape, LLC and Preventing Chronic Disease. Medscape, LLC is accredited by the ACCME to provide continuing medical education for physicians.

Medscape, LLC designates this Journal-based CME activity for a maximum of 1 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

All other clinicians completing this activity will be issued a certificate of participation. To participate in this journal CME activity: (1) review the learning objectives and author disclosures; (2) study the education content; (3) take the post-test with a 70% minimum passing score and complete the evaluation at www.medscape.org/journal/pcd (4) view/print certificate.

Release date: April 11, 2012; Expiration date: April 11, 2013

Learning Objectives

Upon completion of this activity, participants will be able to:

Describe the association between binge drinking intensity among US adult binge drinkers and HRQOL, based on a cross-sectional US study

Compare male and female binge drinkers in terms of the number of physically and mentally unhealthy days, based on a cross-sectional US study

Describe factors affecting HRQOL in female binge drinkers, based on a cross-sectional US study

CME EDITOR

Ellen Taratus, Editor, Preventing Chronic Disease. Disclosure: Ellen Taratus has disclosed no relevant financial relationships.

CME AUTHOR

Laurie Barclay, MD. Freelance writer and reviewer, Medscape, LLC. Disclosure: Laurie Barclay, MD, has disclosed no relevant financial relationships.

AUTHORS AND CREDENTIALS

Disclosures: Xiao-Jun Wen, MD; Dafna Kanny, PhD; William W. Thompson, PhD; Catherine A. Okoro, MS; Machell Town, MS; and Lina S. Balluz, ScD, MPH have disclosed no relevant financial relationships.

Affiliations: Dafna Kanny, Xiao-Jun Wen, William W. Thompson, Catherine A. Okoro, Machell Town, Lina S. Balluz, Centers for Disease Control and Prevention, Atlanta, Georgia.

Introduction

Excessive alcohol consumption, including binge and underage drinking, is the third leading preventable cause of death in the United States, and binge drinking, defined for women as consuming 4 or more alcoholic drinks on an occasion and for men as consuming 5 or more drinks on an occasion, accounts for more than half of the 79,000 annual deaths due to excessive drinking (1,2). Binge drinking is a common form of excessive alcohol use in the United States (1). According to 2009 Behavioral Risk Factor Surveillance System (BRFSS) data, an estimated 15.2% of adults (20.7% of men and 10.0% of women) are binge drinkers (2). Among some population groups, such as people aged 18 to 34 years, the prevalence of binge drinking is even higher (2,3). The frequency (4) (ie, number of binge drinking episodes within a defined time period) and intensity (4) (ie, number of drinks consumed per episode) of binge drinking are 2 measures used to examine the adverse health effects for this risk behavior (5). Several studies have demonstrated that risk of alcohol-related illness and death increases with the intensity of binge drinking (6-8).

Several studies have examined the association between health-related quality of life (HRQOL) and alcohol use (9,10) and the association between binge drinking and certain risk behaviors (eg, alcohol-impaired driving and violence) (11,12). In 2004, 1 study (13) reported that frequent binge drinking was associated with significantly worse HRQOL and mental distress, including stress, depression, and emotional problems. However, the relationship between the intensity of binge drinking per episode and HRQOL has not been examined. The primary objective of this study was to examine the association between HRQOL and the intensity of binge drinking among US adult binge drinkers. A secondary objective was to compare sex differences in HRQOL by sociodemographic characteristics and the intensity of binge drinking.

Methods

We used 2008-2010 BRFSS data and multivariate linear regression models to assess the relationship between binge drinking intensity and HRQOL.

Data source

The BRFSS survey is a state-based, continuous random-digit–dialed telephone survey that collects information on risk behaviors and health conditions from noninstitutionalized adults aged 18 or older in 50 states; Washington, DC; and US territories. Trained interviewers collect data monthly by using an independent probability sample of households with landline telephones. The characteristics, survey design, and random sampling of BRFSS are described elsewhere (14). The validity and reliability of BRFSS data have been demonstrated (15,16).

Assessment of binge drinking

We defined binge drinking by using the question, "Considering all types of alcoholic beverages, how many times during the past 30 days did you have [5 for men, 4 for women] or more drinks on an occasion?" We assessed the intensity of binge drinking among binge drinkers by using the question, "During the past 30 days, what is the largest number of drinks you had on any occasion?" We calculated the median largest number of drinks consumed and then categorized female binge drinkers into 4 groups (4, 5, 6, and 7 or more drinks on any occasion during the past 30 days); and male binge drinkers into 4 groups (5, 6, 7, and 8 or more drinks on any occasion during the past 30 days).

Assessment and definition of HRQOL

We analyzed 2 of the HRQOL questions that are administered annually in the core BRFSS survey: 1) "Now thinking about your physical health, which includes physical illness and injury, for how many days during the past 30 days was your physical health not good?" and 2) "Now thinking about your mental health, which includes stress, depression, and problems with emotions, for how many days during the past 30 days was your mental health not good?" The reliability and validity of these measures have been described (17). We calculated physically and mentally unhealthy days according to the methodology and computer program code published by the Centers for Disease Control and Prevention (18).

Participants

We examined 2008-2010 BRFSS data from respondents who resided in any of the 50 states and Washington, DC, and reported at least 1 binge drinking episode in the past 30 days. Of the 133,353 binge drinkers, 76,269 (66.6%) were men. The median response rates (calculated according to Council of American Survey Research Organizations methods) were 53.3% (range, 35.8%-65.9%) for 2008, 52.5% (range, 37.9%-68.9%) for 2009, and 54.6% (range, 39.1%-68.8%) for 2010. The cooperation rates were 75.0% (range, 59.3%-87.8%) for 2008, 75.0% (range, 55.0%-88.0%) for 2009, and 76.9% (range, 56.8%-86.1%) for 2010.

Sociodemographic characteristics

We analyzed binge drinking intensity and HRQOL by the following sociodemographic variables: age group (18-44 y and ≥45 y); race/ethnicity (non-Hispanic white, non-Hispanic black, Hispanic, and non-Hispanic other); marital status (married, previously married, and never married); education (<high school diploma, high school diploma, some college or technical school, and ≥college degree); employment (employed, unemployed, homemaker/student, retired, and unable to work); and income (<$25,000, $25,000 to <$50,000, and ≥$50,000).

Data analysis

We calculated the mean number of physically and mentally unhealthy days by sociodemographic characteristic and by binge drinking intensity. We conducted multivariate linear regression analyses for the predicted mean number of unhealthy days by sex and largest number of drinks consumed while adjusting for age, race/ethnicity, education, marital status, income, and employment. Because of the complex sampling design of BRFSS, we used SUDAAN version 9.2 (Research Triangle Institute, Research Triangle Park, North Carolina) to calculate weighted prevalence estimates and 95% confidence intervals (CIs). We used nonoverlapping 95% CIs as the criteria for statistical significance.

Results

The median largest number of drinks consumed was 5 (range, 4-14 drinks) for female binge drinkers and 6 (range, 5-29 drinks) for male binge drinkers. Among women, the median intensity of binge drinking was similar among sociodemographic groups. However, among men, the median intensity of binge drinking was higher among men aged 18 to 44 (7 drinks) than among men aged 45 or older (6 drinks), among men who never married (8 drinks) than among men who were married (6 drinks), and among men who were homemaker/students (8 drinks) than among men who were retired or employed (6 drinks).

Overall, female binge drinkers reported more unhealthy days (2.8 physically unhealthy days and 5.1 mentally unhealthy days) than male binge drinkers (2.5 physically unhealthy days and 3.6 mentally unhealthy days) (Table 1). The mean number of mentally unhealthy days among women and men aged 18 to 44 was significantly higher than the mean number for those aged 45 or older, whereas the mean number of physically unhealthy days among men and women aged 45 or older was significantly higher than the mean number for the younger age group. Men and women who were previously married had a significantly higher mean number of physically and mentally unhealthy days than men and women who were married or never married.

Female binge drinkers who consumed 7 or more drinks on any occasion reported significantly more unhealthy days (3.2 physical and 6.9 mental) compared with those who were binge drinking at a lower intensity (Table 1). Similarly, male binge drinkers who consumed 8 or more drinks on any occasion reported significantly more mentally unhealthy days (4.3 d) compared with those who were binge drinking at a lower intensity.

After adjustment for potential confounding factors (age, race/ethnicity, education, marital status, income, and employment), female binge drinkers who consumed 7 or more drinks had more mentally unhealthy days compared with female binge drinkers who consumed 4 drinks, and male binge drinkers who consumed 8 or more drinks had more mentally unhealthy days compared with male binge drinkers who consumed 5 drinks (Table 2).

In general, among all age groups for both sexes, the mean number of physically unhealthy days was associated with binge drinking intensity (Figure 1). The mean number of physically unhealthy days among both sexes aged 45 older was higher than for those aged 18 to 44. In general, among all age groups for both sexes, the mean number of mentally unhealthy days was associated with binge drinking intensity (Figure 2). The mean number of mentally unhealthy days among female binge drinkers was significantly higher than the mean number for male binge drinkers. We found no significant interactions between age and intensity of binge drinking in any of the linear regression models.

Predicted mean number of physically unhealthy days by sex and age among binge drinkers, adjusted for race/ethnicity, education, marital status, income, employment, and survey year. Binge drinking is defined as 4 or more drinks for women and 5 drinks or more drinks for men on an occasion. Error bars indicate 95% confidence intervals. Data are from 50 states and Washington, DC; Behavioral Risk Factor Surveillance System, 2008-2010.

chart
CharacteristicPredicted Mean Physically Unhealthy Days

4 drinks5 drinks6 drinks7 drinks (men), ≥7 drinks (women)≥8 drinks
Women aged 18-44 y2.41 (2.15-2.67)2.17 (1.91-2.44) 2.32 (2.04-2.60)2.68 (2.41-2.94)NA
Women aged ≥45 y3.06 (2.85-3.27)3.46 (3.00-3.92)3.17 (2.80-3.55)3.75 (3.25-4.25)NA
Men aged 18-44 yNA1.85 (1.65-2.06)2.07 (1.80-2.35)1.67 (1.39-1.96)2.13 (1.95-2.30)
Men aged  ≥45 yNA2.86 (2.64-3.07)2.89 (2.64-3.14)2.98 (2.51-3.45)3.55 (3.27-3.84)

Predicted mean number of mentally unhealthy days by sex and age among binge drinkers, adjusted for race/ethnicity, education, marital status, income, employment, and survey year. Binge drinking is defined as 4 or more drinks for women and 5 drinks or more drinks for men on an occasion. Error bars indicate 95% confidence intervals. Data are from 50 states and Washington, DC; Behavioral Risk Factor Surveillance System, 2008-2010.

chart
CharacteristicPredicted Mean Mentally Unhealthy Days

4 drinks5 drinks6 drinks7 drinks (men),  ≥7 drinks (women)≥8 drinks
Women aged 18-44 y4.69 (4.37-5.01)4.96 (4.51-5.41)5.23 (4.77-5.68)6.44 (5.99-6.89)NA
Women aged ≥45 y4.22 (3.98-4.46)4.47 (4.05-4.89)5.14 (4.63-5.66)5.70 (5.13-6.28)NA
Men aged 18-44 yNA3.13 (2.80-3.46)3.20 (2.88-3.52)2.79 (2.44-3.14)4.08 (3.84-4.31)
Men aged ≥45 yNA2.58 (2.36-2.80)2.74 (2.48-3.00)2.84 (2.40-3.29)3.70 (3.40-4.00)
Discussion

Although several studies have examined either sex-specific or alcohol-specific effects for HRQOL (13,19-21), this is the first study to examine the association between binge drinking intensity and HRQOL by sex. Adults who had high-intensity levels of binge drinking were more likely to report poor HRQOL than adults who had lower-intensity levels of binge drinking. This pattern was found for 2 measures of HRQOL — physically and mentally unhealthy days.

Among female binge drinkers, the highest-intensity binge drinkers had 37% more mentally unhealthy days than the lowest-intensity binge drinkers. This estimate of 1 or 2 additional unhealthy days per month is considered a meaningful difference in HRQOL (22).

We also found age effects for physically unhealthy days for both sexes; those aged 45 or older had significantly more physically unhealthy days than those aged 18 to 44. Age effects are likely due in part to the development of chronic conditions that increasingly affect health and well-being across the life span (23,24). The frequency and intensity of alcohol consumption are both important indicators for measuring and assessing the effect of binge drinking (5). A previous study found that poor HRQOL was associated with frequent binge drinking (13). Our study demonstrated that poor HRQOL (physically and mentally unhealthy days) was associated with the intensity of binge drinking among adults who reported binge drinking.

This study has several limitations. First, BRFSS is a landline telephone survey; therefore, people with cellular telephones only or no landline telephones are excluded, which may result in sampling bias. Studies show that an increasing proportion of young adults aged 18 to 34 use cellular telephones exclusively (25) and that the prevalence of binge drinking is approximately one-third higher among cellular telephone users than landline respondents to the BRFSS (2). Second, BRFSS data are self-reported and may be subject to recall and social desirability biases (26). A recent study based on state alcohol sales found that BRFSS identifies only 22% to 32% of presumed alcohol consumption (27). Third, this study is cross-sectional; therefore, any cause and effect between poor HRQOL and level of binge drinking intensity cannot be inferred. Fourth, a previous study (13) demonstrated that the frequency of binge drinking was associated with HRQOL, whereas our study investigated the relationship between the intensity of binge drinking and HRQOL. Further studies are needed to explore the effects of both frequency and intensity of binge drinking on HRQOL to better understand sex-specific effects.

This study also has several strengths. First, to our knowledge, it is the first study to assess the relationship between intensity of binge drinking and physical and mental health components of HRQOL. Second, the large sample of binge drinkers and the BRFSS sampling design suggest that these associations would be similar to those for all noninstitutionalized adult binge drinkers in the United States.

The results of this study support the recommendations of the US Preventive Services Task Force (28) to implement screening and counseling for alcohol misuse, including binge drinking, among adults by physicians and other health care providers. Such screening and counseling can highlight the negative consequences of binge drinking on current physical and mental health. In addition, these results support the use of binge drinking intensity as a measure that could be monitored when implementing and evaluating evidence-based population-level intervention strategies, such as increasing alcohol excise taxes (29) and limiting the density of alcohol sales outlets (30) to reduce drinking intensity and improve HRQOL.

We thank the BRFSS coordinators from 50 states and Washington, DC, and members of the Survey Operation Team in the Division of Behavioral Surveillance, Public Health Surveillance Program Office, Office of Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control and Prevention, for their help in collecting the data used in this study.

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.

Suggested citation for this article: Wen XJ, Kanny D, Thompson WW, Okoro CA, Town M, Balluz LS. Binge drinking intensity and health-related quality of life among US adult binge drinkers. Prev Chronic Dis 2012;9:110204. DOI: http://dx.doi.org/10.5888/pcd9.110204.

NaimiTSBrewerRDMokdadADennyCSerdulaMKMarksJS 289 1 2003 70 75 Binge drinking among US adults JAMA 12503979 Centers for Disease Control and Prevention 59 39 2010 1274 1279 Vital signs: binge drinking among high school students and adults — United States, 2009 MMWR Morb Mortal Wkly Rep 20930706 MillerJWGfroererJCBrewerRDNaimiTSMokdadAGilesWH 27 3 2004 197 204 Prevalence of adult binge drinking: a comparison of two national surveys Am J Prev Med 15450631 NaimiTSNelsonDEBrewerRD 38 2 2010 201 207 The intensity of binge alcohol consumption among U.S. adults Am J Prev Med 20117577 World Health Organization 2000 Geneva (CH) World Health Organization International guide for monitoring alcohol consumption and related harm VinsonDCMaclureMReidingerCSmithGS 64 3 2003 358 366 A population-based case-crossover and case-control study of alcohol and the risk of injury J Stud Alcohol 12817824 WechslerHNelsonTF 30 6 2006 922 927 Relationship between level of consumption and harms in assessing drink cut-points for alcohol research: commentary on "Many college freshmen drink at levels far beyond the binge threshold" by White et al Alcohol Clin Exp Res 16737449 ZadorPLKrawchukSAVoasRB 61 3 2000 387 395 Alcohol-related relative risk of driver fatalities and driver involvement in fatal crashes in relation to driver age and gender: an update using 1996 data J Stud Alcohol 10807209 TsaiJFordESLiCPearsonWSZhaoG 34 8 2010 1465 1471 Binge drinking and suboptimal self-rated health among adult drinkers Alcohol Clin Exp Res 20528820 VanDijkAPToetJVerdurmenJE 65 2 2004 241 249 The relationship between health-related quality of life and two measures of alcohol consumption J Stud Alcohol 15151356 NaimiTSBrewerRDMillerJWOkoroCMehrotraC 33 3 2007 188 193 What do binge drinkers drink? Implications for alcohol control policy Am J Prev Med 17826577 NaimiTSNelsonDEBrewerRD 37 4 2009 314 320 Driving after binge drinking Am J Prev Med 19765503 OkoroCABrewerRDNaimiTSMoriartyDGGilesWHMokdadAH 26 3 2004 230 233 Binge drinking and health-related quality of life: do popular perceptions match reality? Am J Prev Med 15026103 MokdadAHStroupDFGilesWH 52 RR-9 2003 1 12 Behavioral Risk Factor Surveillance Team. Public health surveillance for behavioral risk factors in a changing environment. Recommendations from the Behavioral Risk Factor Surveillance Team MMWR Recomm Rep 12817947 NelsonDEHoltzmanDBolenJStanwyckCAMackKA 2001 S3 42 Suppl 1 Reliability and validity of measures from the Behavioral Risk Factor Surveillance System (BRFSS) Soz Praventivmed 11851091 NelsonDEPowell-GrinerETownMKovarMG 93 8 2003 1335 1341 A comparison of national estimates from the National Health Interview Survey and the Behavioral Risk Factor Surveillance System Am J Public Health 12893624 OunpuuSChambersLWChanDYusufS 22 3-4 2001 93 101 Validity of the US Behavioral Risk Factor Surveillance System's health related quality of life survey tool in a group of older Canadians Chronic Dis Can 11779423 Centers for Disease Control and Prevention. Health-related quality of life — methods and measures Accessed October 4, 2011 http://www.cdc.gov/hrqol/methods.htm GallicchioLHoffmanSCHelzlsouerKJ 16 5 2007 777 786 The relationship between gender, social support, and health-related quality of life in a community-based study in Washington County, Maryland Qual Life Res 17286195 FordESMokdadAHLiCMcGuireLCStrineTWOkoroCA 17 5 2008 757 768 Gender differences in coronary heart disease and health-related quality of life: findings from 10 states from the 2004 Behavioral Risk Factor Surveillance System J Womens Health (Larchmt) 18537479 BentleyTGPaltaMPaulsenAJCherepanovDDunhamNCFeenyD 20 5 2011 665 674 Race and gender associations between obesity and nine health-related quality-of-life measures Qual Life Res 21547358 MoriartyDGZackMMKobauR 2003 1 37 The Centers for Disease Control and Prevention's Healthy Days Measures — population tracking of perceived physical and mental health over time Health Qual Life Outcomes 14498988 ChenHYBaumgardnerDJRiceJP 8 1 2011 A09 Health-related quality of life among adults with multiple chronic conditions in the United States, Behavioral Risk Factor Surveillance System, 2007 Prev Chronic Dis 21159221 HeyworthITHazellMLLinehanMFFrankTL 59 568 2009 e353 e358 How do common chronic conditions affect health-related quality of life? Br J Gen Pract 19656444 BlumbergSLukeJ Wireless substitution: early release of estimates from the National Health Interview Survey, January-June 2010 National Center for Health Statistics Accessed October 6, 2011 http://www.cdc.gov/nchs/nhis.htm StockwellTDonathSCooper-StanburyMChikritzhsTCatalanoPMateoC 99 8 2004 1024 1033 Under-reporting of alcohol consumption in household surveys: a comparison of quantity-frequency, graduated-frequency and recent recall Addiction 15265099 NelsonDENaimiTSBrewerRDRoeberJ 105 9 2010 1589 1596 US state alcohol sales compared to survey data, 1993-2006 Addiction 20626370 Screening and behavioral counseling interventions in primary care to reduce alcohol misuse US Preventive Services Task Force Accessed October 6, 2011 http://www.uspreventiveservicestaskforce.org/uspstf/uspsdrin.htm ElderRWLawrenceBFergusonANaimiTSBrewerRDChattopadhyaySK 38 2 2010 217 229 The effectiveness of tax policy interventions for reducing excessive alcohol consumption and related harms Am J Prev Med 20117579 CampbellCAHahnRAElderRBrewerRChattopadhyaySFieldingJ 37 6 2009 556 569 The effectiveness of limiting alcohol outlet density as a means of reducing excessive alcohol consumption and alcohol-related harms Am J Prev Med 19944925Post-Test Information

To obtain credit, you should first read the journal article. After reading the article, you should be able to answer the following, related, multiple-choice questions. To complete the questions (with a minimum 70% passing score) and earn continuing medical education (CME) credit, please go to http://www.medscape.org/journal/pcd. Credit cannot be obtained for tests completed on paper, although you may use the worksheet below to keep a record of your answers. You must be a registered user on Medscape.org. If you are not registered on Medscape.org, please click on the "Register" link on the right hand side of the website to register. Only one answer is correct for each question. Once you successfully answer all post-test questions you will be able to view and/or print your certificate. For questions regarding the content of this activity, contact the accredited provider, CME@medscape.net. For technical assistance, contact CME@webmd.net. American Medical Association's Physician's Recognition Award (AMA PRA) credits are accepted in the US as evidence of participation in CME activities. For further information on this award, please refer to http://www.ama-assn.org/ama/pub/category/2922.html. The AMA has determined that physicians not licensed in the US who participate in this CME activity are eligible for AMA PRA Category 1 Credits™. Through agreements that the AMA has made with agencies in some countries, AMA PRA credit may be acceptable as evidence of participation in CME activities. If you are not licensed in the US, please complete the questions online, print the AMA PRA CME credit certificate and present it to your national medical association for review.

Post-Test QuestionsArticle Title:  Binge Drinking Intensity Linked to Health-Related Quality of Life

CME Questions

Based on the study by Dr. Wen and colleagues, which of the following statements about the association between binge drinking intensity among US adult binge drinkers and health-related quality of life (HRQOL) is most likely correct?

Highest-intensity binge drinkers were defined as women consuming ≥ 4 drinks and men consuming ≥ 5 drinks on any occasion

Frequency rather than severity of binge drinking was a better predictor of HRQOL

Intensity of binge drinking was a predictor of HRQOL among men but not among women

Highest-intensity binge drinkers were more likely to report poor HRQOL than binge drinkers who reported lower levels of intensity

You are a consultant to an alcohol abuse intervention program. Based on the study by Dr. Wen and colleagues, which of the following statements about the number of physically and mentally unhealthy days per month linked to binge drinking is most likely to appear in your report?

Female binge drinkers reported fewer physically unhealthy days than did male binge drinkers

Female binge drinkers reported 5.1 mentally unhealthy days

Female binge drinkers reported fewer mentally unhealthy days than did male binge drinkers

Male binge drinkers reported more physically unhealthy days than mentally unhealthy days

Based on the study by Dr. Wen and colleagues, which of the following statements about factors affecting HRQOL in female binge drinkers would be most likely to appear in your report?

After adjustment for confounding factors, women who consumed ≥ 7 drinks on any occasion did not report more mentally unhealthy days than women who consumed 4 drinks

Women who consumed ≥ 7 drinks on any occasion reported more than 6 mentally unhealthy days per month

Women who consumed 4 drinks on any occasion reported 2.5 mentally unhealthy days per month

Preventing binge drinking in women is unlikely to improve HRQOL.

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Mean Unhealthy Days by Selected Characteristics and Binge Drinking Intensity Among US Adult Binge Drinkers, 2008-2010a

Characteristic Nb Physically Unhealthy Days Mean (95% CI)Mentally Unhealthy Days Mean (95% CI)
Women
Overall 56,6562.8 (2.7-2.9)5.1 (5.0-5.3)
Age, y
18-4427,2622.5 (2.4-2.6)5.4 (5.2-5.6)
≥4529,3943.4 (3.2-3.5)4.5 (4.4-4.7)
Race/ethnicity
White non-Hispanic46,5392.6 (2.5-2.7)4.8 (4.7-4.9)
Black non-Hispanic3,6603.5 (2.9-4.1)7.0 (6.3-7.7)
Hispanic3,1732.9 (2.5-3.3)5.6 (5.0-6.3)
Other non-Hispanic2,9953.7 (3.2-4.2)6.2 (5.5-6.9)
Marital status
Married32,7662.4 (2.3-2.5)4.3 (4.2-4.5)
Previously married14,0744.3 (4.1-4.6)7.1 (6.8-7.4)
Never married9,7232.8 (2.5-3.0)5.7 (5.4-6.1)
Education
<high school diploma3,0315.1 (4.6-5.7)8.3 (7.5-9.0)
High school diploma14,9373.5 (3.3-3.7)6.3 (5.9-6.6)
Some college or technical school17,0852.8 (2.6-3.0)5.4 (5.2-5.7)
≥College degree21,5711.9 (1.8-2.0)3.7 (3.5-3.9)
Employment
Employed38,8732.1 (2.0-2.2)4.6 (4.4-4.7)
Unemployed3,9604.4 (3.9-4.8)8.6 (8.0-9.1)
Homemaker/student6,7562.7 (2.4-3.0)5.2 (4.9-5.6)
Retired5,1403.5 (3.2-3.9)2.9 (2.6-3.3)
Unable to work1,85114.0 (12.9-15.2)13.4 (12.3-14.5)
Income, $
<25,00011,1784.9 (4.6-5.2)8.1 (7.7-8.5)
25,000 to <50,00013,1162.9 (2.7-3.0)5.8 (5.5-6.1)
≥50,00027,9771.9 (1.8-2.1)3.7 (3.6-3.9)
Largest no. of drinks consumed on any occasion
422,7792.5 (2.3-2.7)4.3 (4.1-4.5)
510,4132.5 (2.3-2.7)4.8 (4.4-5.1)
68,6922.7 (2.4-2.9)5.4 (5.1-5.8)
≥78,5593.2 (3.0-3.4)6.9 (6.5-7.2)
Men
Overall 75,5642.5 (2.4-2.5)3.6 (3.5-3.7)
Age, y
18-4433,8502.1 (2.0-2.2)3.8 (3.6-3.9)
≥4541,7143.2 (3.1-3.4)3.1 (3.0-3.2)
Race/ethnicity
White non-Hispanic62,0072.3 (2.2-2.4)3.3 (3.2-3.5)
Black non-Hispanic3,5133.0 (2.6-3.3)4.8 (4.2-5.4)
Hispanic5,1152.7 (2.4-2.9)3.8 (3.4-4.1)
Other non-Hispanic4,2903.0 (2.6-3.4)4.1 (3.6-4.6)
Marital status
Married46,7612.1 (2.0-2.2)2.9 (2.8-3.1)
Previously married14,5494.4 (4.1-4.8)5.4 (5.1-5.8)
Never married14,1152.4 (2.2-2.5)4.2 (4.0-4.5)
Education
<high school diploma5,6104.2 (3.8-4.6)5.4 (4.9-5.9)
High school diploma23,5122.9 (2.7-3.1)4.0 (3.8-4.3)
Some college20,2312.4 (2.2-2.5)3.7 (3.5-3.9)
≥College degree26,1471.6 (1.5-1.7)2.5 (2.3-2.6)
Employment
Employed55,4991.8 (1.7-1.9)3.0 (2.9-3.1)
Unemployed5,9243.8 (3.4-4.2)6.4 (6.0-6.9)
Homemaker/student1,7802.0 (1.7-2.3)3.7 (3.2-4.2)
Retired9,6033.7 (3.4-4.0)2.3 (2.1-2.6)
Unable to work2,63214.5 (13.4-15.7)11.2 (10.2-12.3)
Income, $
<25,00012,7764.6 (4.3-4.9)5.8 (5.4-6.1)
25,000 to <50,00017,8842.5 (2.3-2.7)3.7 (3.5-3.9)
≥50,00040,2491.7 (1.6-1.7)2.6 (2.5-2.8)
Largest no. of drinks consumed on any occasion
518,8632.2 (2.0-2.3)2.8 (2.6-3.0)
616,2922.3 (2.1-2.5)2.9 (2.7-3.1)
75,4542.0 (1.7-2.2)2.8 (2.5-3.1)
≥826,8572.6 (2.5-2.8)4.3 (4.1-4.5)

Abbreviation: CI, confidence interval.

Data from 50 states and Washington, DC, 2008-2010 Behavioral Risk Factor Surveillance System. Binge drinking defined as 4 or more drinks for women and 5 drinks or more drinks for men on an occasion.

Sample sizes vary because of missing values in mentally unhealthy days and physically unhealthy days.

Association Between Number of Unhealthy Days and Binge Drinking Intensity by Sex Among Binge Drinkers, 2008-2010a

Largest No. of Drinks Consumed on Any OccasionPhysically Unhealthy DaysMentally Unhealthy Days

Predicted Mean (95% CI)β (P Value)Predicted Mean (95% CI)β (P Value)
Women
42.6 (2.3-2.8)1 [Reference]4.6 (4.3-4.8)1 [Reference]
52.6 (2.3-2.8)−0.01 (.97)4.8 (4.4-5.2)0.24 (.22)
62.6 (2.3-2.9)0.02 (.89)5.2 (4.8-5.6)0.61 (.004)
≥73.0 (2.7-3.3)0.41 (.009)6.3 (5.8-6.7)1.69 (.001)
Men
52.1 (1.9-2.3)1 [Reference]2.9 (2.7-3.2)1 [Reference]
62.3 (2.1-2.6)0.19 (.10)3.1 (2.8-3.3)0.11 (.44)
72.1 (1.8-2.4)−0.04 (.78)2.8 (2.5-3.1)−0.16 (.36)
≥82.6 (2.4-2.7)0.42 (<.001)4.0 (3.7-4.2)1.01 (<.001)

Abbreviation: CI, confidence interval.

Data from 50 states and Washington, DC, 2008-2010 Behavioral Risk Factor Surveillance System. Binge drinking defined as 4 or more drinks for women and 5 drinks or more drinks for men on an occasion. Sample size is 46,764 female binge drinkers and 63,223 male binge drinkers. Model adjusted for age, race/ethnicity, education, marital status, income, and employment.