THE RELATIONSHIP BETWEEN ADOLESCENT/YOUNG ADULT BMI AND SUBSEQUENT NON- PROBLEM AND PROBLEM ALCOHOL USE Alexis E. Duncan, Kathleen Keenan Bucholz, Pamela.

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Presentation transcript:

THE RELATIONSHIP BETWEEN ADOLESCENT/YOUNG ADULT BMI AND SUBSEQUENT NON- PROBLEM AND PROBLEM ALCOHOL USE Alexis E. Duncan, Kathleen Keenan Bucholz, Pamela A.F. Madden, and Andrew C. Heath Washington University Department of Psychiatry, Midwest Alcoholism Research Center Supported by NIAAA Grants AA07728 and AA10240 and T32AA07580

BACKGROUND Results from previous studies examining the relationship between BMI and alcohol use have been mixed. OBJECTIVE To explore the relationship between BMI in adolescence/early young adulthood and subsequent alcohol non-problem and problem use.

METHODS – Missouri Adolescent Female Twin Study (MOAFTS) Twins born between 1975 and 1985 ascertained using Missouri State birth records Data for this analysis are derived from the baseline and Wave 4 questionnaires –Baseline assessment began in 1995 (median age 15, range years) –Wave 4 assessments conducted between (median age 22, age range years) 3454 twins (461 [13.3%] African-American) with baseline height and weight and wave 4 alcohol use data are used in this analysis

METHODS – Measures Baseline interview: Race, Height and weight from baseline twin interview or parental interview (if twin interview unavailable) used to compute BMI (weight in kg/height in m 2 ) Follow-up interview: Alcohol use variables (ever use and age onset, ever intoxication and age onset, current weekly use and current monthly binge drinking), lifetime major depression, regular smoking (100+ cigarettes)

METHODS – BMI categories BMI divided into four groups based on CDC adolescent growth curves or adult guidelines (adolescent growth curves are used until the ages at which the BMI curve crosses the adult BMI cutoffs, then the adult BMI categories are used): –Underweight (n=238): BMI <18.5 or BMI for age <10 th percentile –Normal weight (n=2541): BMI if or BMI for age 10 th - 85 th percentile –Overweight (n=439): BMI or BMI for age 85 th -95 th percentile –Obese (n=236): BMI >30 or BMI for age >90 th percentile

METHODS – Data analysis Bivariate analysis: Chi-Square and ANOVA –Post hoc tests conducted if omnibus p-value ≤.05 Multivariate analyses: –Cox Proportional Hazards Models for time to first alcohol use and time to first intoxication –Logistic Regressions for current weekly alcohol use and monthly binge drinking (5+ drinks) –Age, regular cigarette smoking, and major depression were tested as potential mediators or moderators of the relationship between baseline BMI category and all outcomes Race interacted with BMI category for all outcomes, therefore all analyses were stratified by race

TABLE 1. Sample Characteristics – European Americans Under- weight (n=219) Normal weight (n=2291) Over- weight (n=330) Obese (n=157) p- value Age >22 years46.6 ac 37.6 bc 32.7 b 44.6 c.01 Lifetime major depression Smoked 100+ cigarettes Ever used alcohol82.19 a b 89.1 b Age at first use (SD)17.0 (3.0)16.7 (2.6)16.8 (2.7)17.3 (2.8).08 Ever intoxicated64.4 a 73.3 b 64.2 a 60.9 a <.01 Age at first intoxication (SD)18.5 (3.0) ac 18.1 (2.8) b 18.5 (2.9) a 19.2 (3.2) c <.01 Current weekly drinking26.0 ac 26.5 a 20.7 c 11.5 b <.01 Current monthly binge drinking25.1 ab 31.2 a 25.2 bc 20.5 c <.01

TABLE 2. Sample Characteristics – African Americans Under- weight (n=19) Normal weight (n=253) Over- weight (n=109) Obese (n=81) p- value Age >22 years74.7 a 45.1 b b.04 Lifetime major depression Smoked 100+ cigarettes Ever used alcohol Age at first use (SD)19.1 (1.7) a 18.2 (2.9) b 18.9 (3.5)17.7 (3.9) b.04 Ever intoxicated Age at first intoxication (SD)22.5 (2.6) a 20.4 (3.1) b 20.8 (3.4) b 19.9 (3.1) b <.01 Current weekly drinking Current monthly binge drinking

TABLE 3. Survival Analysis – time to first drink HR95% CI European Americans (n=2997) Underweight Normal weight Overweight Obese African Americans (n=461) Underweight Normal weight Overweight Obese , , , , , , 1.285

Overweight Underweight Obese Normal Weight Figure 1. Kaplan Meier survival estimates for time to first drink by BMI category in European Americans (n=2997)

Underweight Overweight Normal Weight Obese Figure 2. Kaplan Meier survival estimates for time to first drink by BMI category in African Americans (n=461)

TABLE 4. Survival Analysis – time to first intoxication HR95% CI European Americans (n=2997) Underweight Normal weight Overweight Obese, intoxication <16 years Obese, intoxication ≥16 years 100+ cigarettes, intoxication <14 years 100+ cigarettes, intoxication years 100+ cigarettes, intoxication ≥16 years African Americans (n=461) Underweight Normal weight Overweight Obese Major Depression, intoxication <16 years Major depression, intoxication ≥16 years , , , , , , , , , , , , 1.886

Figure 3. Kaplan Meier survival estimates for time to first intoxication by BMI category in European Americans (n=2997) Underweight OverweightObese Normal Weight

Underweight OverweightObese Normal Weight Figure 3. Kaplan Meier survival estimates for time to first intoxication by BMI category in African Americans (n=461)

TABLE 5. Logistic Regression – Current Weekly Drinking in European American Ever Drinkers OR95% CI No Lifetime Major Depression (n=2095) Underweight Normal weight Overweight Obese 100+ cigarettes Lifetime Major Depression (n=531) Underweight Normal weight Overweight Obese , , , , , , , 1.499

TABLE 5. Logistic Regression – Current Weekly Drinking in African American Ever Drinkers (n=365) OR95% CI Underweight Normal weight Overweight Obese Age > , , , , 3.881

TABLE 6. Logistic Regression – Current Monthly Binge Drinking* Among Ever Drinkers OR95% CI European Americans (n=2627) Underweight Normal weight Overweight Obese 100+ cigarettes African Americans (n=365) Underweight Normal weight Overweight Obese 100+ cigarettes , , , , , , , , *5+ drinks in a day

CONCLUSIONS Relationships between body weight in adolescence/early young adulthood and subsequent non-problem and problem alcohol use differ by race. There were no statistically significant associations between body weight and problem and non-problem drinking among African American women. Among European American women, overweight and obesity appear to be protective against problem and non- problem drinking, despite the additional calories contained in alcoholic beverages and the positive associations between smoking and drinking and smoking and obesity. Future research will explore the reasons for this association.