Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2020 Dec 1.
Published in final edited form as: Am J Prev Med. 2019 Dec;57(6):808–817. doi: 10.1016/j.amepre.2019.07.020

Early Alcohol and Smoking Initiation: A Contributor to Sexual Minority Disparities in Adult Use

Megan S Schuler 1, Rebecca L Collins 2
PMCID: PMC6876690  NIHMSID: NIHMS1538042  PMID: 31753262

Abstract

Introduction:

Lesbian, gay, and bisexual (LGB) adults report higher rates of smoking and alcohol use than heterosexual peers. Prior studies have not examined whether potential disparities in early initiation among LGB youth may contribute to adult disparities.

Methods:

Data on 126,463 adults (including 8,241 LGB adults) were from the 2015–2017 National Survey on Drug Use and Health. Rates of reported early alcohol and smoking initiation (prior to age 15 years) among both lesbian/gay (L/G) and bisexual adults were examined relative to same-gender heterosexual adults. Mediation analyses were used to assess whether early initiation differences contribute to disparities in adult heavy episodic drinking, alcohol use disorder, current smoking, and nicotine dependence for each subgroup. Analyses were conducted in 2018–2019.

Results:

For both L/G and bisexual women, early alcohol initiation rates were elevated and explained 21%–38% of their observed disparities in adult heavy episodic drinking and alcohol use disorder. Similarly, early smoking initiation rates were elevated among both L/G and bisexual women and explained 22%–29% of their disparities in adult smoking and nicotine dependence. By contrast, no evidence was observed that early initiation mediated adult disparities for gay or bisexual men.

Conclusions:

A significant proportion of alcohol and smoking disparities among L/G and bisexual women in adulthood appear attributable to early initiation, indicating the need for enhanced early prevention efforts for these groups. Making routine adolescent screening for substance use, brief intervention, and referral to treatment more culturally sensitive to LGB youth may also be an important step in reducing adult disparities for LGB women.

INTRODUCTION

National surveys find that lesbian, gay, and bisexual (LGB) adults have higher rates of smoking and heavy episodic drinking (HED) than their heterosexual peers,1,2 as well as higher rates of nicotine dependence35 and alcohol use disorder (AUD).6,7 One potential explanatory factor in these patterns is earlier initiation of smoking and drinking among LGB youth.813 In the general population, relative to those who start later in life, individuals who begin smoking at younger ages are more likely to develop nicotine dependence1417 and individuals who begin drinking alcohol at younger ages are more likely to develop AUD.1821

Several studies have found that LGB youth initiate smoking and alcohol use at younger ages than heterosexual peers. Longitudinal survey data from U.S. adolescents indicates that both male and female LGB youth were consistently more likely to report smoking13 and alcohol use22 before age 13 years compared with heterosexual peers. Similar LGB disparities in early smoking and alcohol initiation have been observed among Canadian adolescents.9,10 Another study found that although all subgroups of LGB youth reported initiating drinking at younger ages than heterosexual peers, bisexual female individuals were at the greatest risk of early initiation as well as subsequent binge drinking.8 Data from the National Adult Tobacco Survey indicate that LGB women initiated smoking and daily smoking significantly younger than heterosexual women; although no differences in early initiation were observed between sexual minority and heterosexual men.11

Substance use initiation during adolescence is driven by a number of factors.2325 In particular, LGB youth may face minority stress, namely stigma and discrimination experienced by those in a marginalized social group,26 which may elevate their risk for substance use relative to heterosexual peers.27 Minority stress may be magnified during adolescence, a developmental period marked by emphasis on conformity of sexuality and gender expression28 and increased homophobic attitudes and behavior.29 Peer bullying and family rejection due to sexual identity are widely experienced by LGB youth30 and have been linked to elevated substance use.31 Even LGB youth still in the process of identity formation may perceive themselves as “non-normative” and experience confusion or distress, for which substance use may represent a coping strategy.32

To date, the degree to which excess alcohol and cigarette use among LGB adults is related to disparities in early initiation is unknown. One prior study found that young LGB women (but not sexual minority men) were more likely to persist in alcohol and tobacco use in adulthood relative to heterosexual peers; however, that study did not employ a mediation framework.12

This study characterizes early alcohol and cigarette initiation by sexual identity and gender using a large, nationally representative sample of U.S. adults. Potential differences by gender and sexual identity (i.e., lesbian/gay [L/G] versus bisexual) are examined as disparities in alcohol and tobacco use are more pronounced among LGB women than men1,2,33,34 and bisexual adults, particularly bisexual women, may be at unique risk for some substance use behaviors.35,36 A mediation framework is used to examine the extent to which early initiation explains LGB disparities in HED, AUD, current smoking, and nicotine dependence during adulthood. It is hypothesized that elevated rates of early initiation among LGB individuals contribute to LGB disparities during adulthood and that mediating effects may differ by gender and sexual identity.

Results will provide insight regarding optimal timing and targeting of prevention, screening, and treatment initiatives among LGB youth and the extent to which such initiatives might reduce disparities among LGB adults.

METHODS

Study Population

Data were from the 2015, 2016, and 2017 National Survey on Drug Use and Health (NSDUH), an annual nationally representative survey of drug use among the civilian, non-institutionalized U.S. population aged ≥12 years. Data were collected using computer-assisted interviewing to facilitate accurate reporting of sensitive behaviors. Survey respondents gave written informed consent and were compensated $30. Respondents to the NSDUH totaled 57,146 in 2015 (70% response rate), 56,897 in 2016 (68% response rate), and 56,276 in 2017 (67% response rate). Of the 170,319 total respondents across 2015–2017, a total of 41,479 individuals aged 12–17 years were excluded as were 1,501 individuals who did not respond to the sexual identity question and 776 individuals who responded don’t know. The final sample included 126,463 adults identifying as heterosexual, lesbian or gay, or bisexual. This study was determined to be exempt by RAND’s IRB.

Measures

Sexual identity was assessed as: Which one of the following do you consider yourself to be? Response choices were: heterosexual, that is, straight; lesbian or gay; bisexual; and don’t know. Hereafter, this paper refers to women who selected lesbian or gay as “L/G women,” as sexual minority women may describe themselves as “lesbian,” “gay,” or both.

Alcohol initiation age was assessed as: How old were you the first time you had a drink of an alcoholic beverage? Please do not include any time when you only had a sip or two from a drink. Smoking initiation age was assessed as: How old were you the first time you smoked part or all of a cigarette? In keeping with numerous prior studies, early initiation was defined as use before age 15 years for both alcohol and smoking.18,20,21,3739

Current smoking was defined as smoking at least one cigarette in the past 30 days. Past-month nicotine dependence was measured by the Fagerström Test for Nicotine Dependence item assessing whether the first cigarette smoked was within 30 minutes of waking up. Past-month HED was defined as at least one occurrence of HED (i.e., four or more drinks in a day for women and five or more drinks in a day for men) in the past 30 days. An individual was classified as having a past-year AUD if they met DSM-IV abuse or dependence criteria for alcohol in the past 12 months.

Demographic covariates were: gender (male, female), age (18, 19, 20, 21, 22–23, 24–25, 26–29, 30–34, 35–49, 50–64, ≥65 years), race/ethnicity (white, black, Hispanic, Asian, other), education level (less than high school, high school, some college/2-year college degree, 4-year college degree), employment (full-time, part-time, student, unemployed, other), family income (<$20,000, $20,000–$49,999, $50,000–$74,999, ≥$75,000), marital status (married, widowed, divorced/separated, never married), living with children aged <18 years (yes, no), and urbanicity (large metropolitan area, small metropolitan area, non-metropolitan area).

Statistical Analysis

Logistic regression was used to estimate the OR of early alcohol and smoking initiation across sexual identity groups separately by gender. The extent to which relationships between sexual identity and adult alcohol and smoking outcomes were attributable to early initiation was examined in a mediation analysis framework. First, the total effect, namely the overall association between sexual identity and adult use, was estimated. If nonsignificant, there were no adult disparities in use to explain via mediation.40 The total effect was then decomposed into the indirect effect (i.e., the portion of the total effect due to early initiation—the mediated portion) and the direct effect (i.e., the remaining, unmediated portion).41 A significant indirect effect in the presence of a significant total effect was reported as a mediated effect.42 For each outcome, the total effect of sexual identity was estimated with logistic regression. The direct effect was calculated by re-estimating the regression model after adding the corresponding early initiation variable. The Karlson–Holm–Breen method was implemented using the khb package in Stata to estimate the indirect effect in the context of non-linear models and to calculate proportion of the total effect mediated by early initation.43,44 All analyses were conducted in 2018–2019 using Stata, version 15.1 and accounted for NSDUH survey design. Regression models were stratified by gender and adjusted for all demographic covariates.

RESULTS

The sample included 1,321 L/G women, 4,289 bisexual women, 1,410 gay men, and 1,221 bisexual men (Table 1). LGB adults, particularly bisexual women, were younger on average than heterosexual adults (e.g., 12.4% of heterosexual women were aged 18–25 years vs 41.5% of bisexual women). Racial/ethnic composition across sexual identity subgroups was similar. Relative to same-gender heterosexual peers, education levels were higher among gay men and L/G women and lower among bisexual men and women. LGB adults were less likely to be married (e.g., 52% of heterosexual women vs 26% of L/G women) and gay and bisexual men and L/G women were less likely to be living with children than heterosexual peers.

Table 1.

Characteristics of 2015–2017 NSDUH Adult Participants by Sexual Identity and Gender

Women Men
Variable Heterosexual, %
n=62,038
Lesbian/Gay, %
n=1,321
Bisexual, %
n=4,289
Heterosexual, %
n=56,184
Gay, % n=1,410 Bisexual, %
n=1,221
Demographics
 Age, years
  18–25 12.4 20.9 41.5 14.4 19.0 29.9
  26–34 14.8 20.6 28.5 16.1 22.1 20.7
  35–49 24.6 23.0 19.8 25.3 21.4 19.5
  50–64 26.2 23.5 7.8 25.7 28.2 18.6
  ≥65 21.9 12.0 2.4 18.5 9.4 11.3
 Race/ethnicity
  White 64.7 63.8 61.3 65.3 62.0 59.1
  Black 12.4 15.7 14.1 11.0 11.7 10.3
  Hispanic 15.1 14.3 15.7 16.0 18.1 20.2
  Other 7.9 6.2 8.9 7.6 8.2 10.4
 Education
  Less than high school 11.8 10.4 13.0 13.8 7.9 13.5
  High school 23.5 19.5 26.9 26.8 16.2 24.6
  Some college/2 year degree 32.8 35.2 38.4 29.0 29.5 31.6
  4 year college degree 31.9 34.9 21.8 30.5 46.4 30.4
 Employment
  Full time 41.6 52.0 44.3 57.8 56.4 51.5
  Part time 15.9 11.8 19.7 10.0 13.9 15.2
  Unemployed 3.7 7.0 9.2 5.0 6.5 6.2
  Student 36.9 26.7 22.9 25.2 20.2 23.0
  Other 1.8 2.4 3.9 1.9 3.1 4.1
 Marital status
  Married 51.5 25.5 24.8 55.5 15.7 27.8
  Widowed 8.9 3.2 1.1 3.0 1.4 2.9
  Divorced/Separated 15.9 11.9 15.7 12.1 6.6 9.0
  Never married 23.8 59.4 58.4 29.3 76.2 60.3
 Children aged <18 years in household
  Yes 39.3 31.4 48.3 35.2 11.7 27.9
 Total family income
  <$20,000 18.3 24.7 28.1 14.4 17.2 24.2
  $20,000-$49,999 30.4 29.3 34.4 28.8 28.2 33.2
  $50,000-$74,999 16.2 14.7 13.6 16.3 18.6 15.5
  ≥$75,000 35.1 31.4 23.9 40.4 35.9 27.1
 Urbanicity
  Large metro 55.3 57.1 57.9 55.6 69.7 61.5
  Small metro 30.1 31.0 30.4 30.0 22.6 27.7
  Non-metro 14.6 12.0 11.7 14.4 7.8 10.8
Alcohol and smoking initiation
 Mean age of alcohol initiation, years 17.6 16.5 16.0 16.6 17.1 16.5
 Mean age of cigarette initiation, years 16.3 16.1 15.2 15.8 16.4 15.9
Adult alcohol outcomes
 Heavy episodic drinking 21.2 30.1 38.7 31.8 37.4 33.0
 Alcohol use disorder 3.9 7.7 12.5 7.8 14.0 11.6
Adult smoking outcomes
 Current smoking 17.1 28.1 36.2 22.9 28.0 27.1
 Nicotine dependence 8.4 13.1 16.5 10.8 13.0 12.9

Note: Prevalence estimates are weighted to account for NSDUH survey design.

NSDUH, National Survey on Drug Use and Health.

Compared with heterosexual peers, all LGB subgroups reported higher unadjusted rates of AUD, HED, current smoking and nicotine dependence.

After demographic adjustment, compared with same-gender heterosexual peers, rates of early alcohol initiation were elevated among L/G women (AOR=2.23, 95% CI=1.82, 2.74), bisexual women (AOR=2.36, 95% CI=2.12, 2.62), and bisexual men (AOR=1.35, 95% CI=1.10, 1.65) (Table 2). L/G women (AOR=1.81, 95% CI=1.48, 2.23), bisexual women (AOR=2.28, 95% CI=2.05, 2.54), and bisexual men (AOR=1.37, 95% CI=1.12, 1.67) had elevated rates of early smoking initiation. Gay men were not more likely than heterosexual men to initiate smoking or alcohol use early.

Table 2.

Prevalence and AORs of Early Alcohol and Smoking Initiation (Prior to Age 15 Years) by Sexual Identity and Gender

Women Men
Variable % AOR (95% CI) % AOR (95% CI)
Early alcohol initiation (prior to age 15 years)
 Sexual identity
 Heterosexual 11.7 ref 19.8 ref
 Lesbian/Gay 25.1 2.23 (1.82, 2.74) 17.9 0.83 (0.67, 1.03)
 Bisexual 27.8 2.36 (2.12, 2.62) 24.4 1.35 (1.10, 1.65)
Early smoking initiation (prior to age 15 years)
 Sexual identity
 Heterosexual 16.7 ref 25.0 ref
 Lesbian/Gay 26.6 1.81 (1.48, 2.23) 21.5 0.97 (0.79, 1.18)
 Bisexual 30.5 2.28 (2.05, 2.54) 27.3 1.37 (1.12, 1.67)

Note: Boldface indicates statistical significance (p<0.05). All AOR estimates are weighted to account for NSDUH survey design and adjusted for age, race/ethnicity, education level, employment, marital status, living with children under age 18 years, income, and urbanicity.

NSDUH, National Survey on Drug Use and Health.

Early alcohol initiation was significantly associated with adult HED among women (AOR=2.02, 95% CI=1.87, 2.17; Table 3). L/G women did not exhibit HED disparities; a mediating effect of early initiation was not present. Bisexual women exhibited significant HED disparities relative to heterosexual women (total effect: AOR=1.44, 95% CI=1.29, 1.60). Early alcohol initiation had a significant mediating effect on HED (AOR=1.10, 95% CI=1.06, 1.13) for bisexual women, explaining 26% of the total effect. A significant direct effect remained when accounting for early initiation (AOR=1.31, 95% CI=1.18, 1.45).

Table 3.

Mediation Analysis Results by Sexual Identity and Gender: Past-Month HED and Past-Year AUD

Total effect Direct effect Mediated effect (indirect effect)
Variable AOR (95% CI) AOR (95% CI) AOR (95% CI) % Mediated
Women
 Past-month heavy episodic drinking
  Sexual identity (ref: Heterosexual)
   Lesbian/Gay 1.13 (0.93, 1.38) 1.04 (0.86, 1.27) N/Aa N/A
   Bisexual 1.44 (1.29, 1.60) 1.31 (1.18, 1.45) 1.10 (1.06, 1.13) 26
  Early alcohol initiation 2.02 (1.87, 2.17)
 Past-year alcohol use disorder
  Sexual identity (ref: Heterosexual)
   Lesbian/Gay 1.37 (1.04, 1.80) 1.22 (0.93, 1.60) 1.13 (1.08, 1.18) 38
   Bisexual 1.95 (1.67, 2.27) 1.70 (1.46, 1.97) 1.15 (1.10, 1.20) 21
  Early alcohol initiation 2.78 (2.52, 3.08)
Men
 Past-month heavy episodic drinking
  Sexual identity (ref: Heterosexual)
   Gay 1.04 (0.90, 1.20) 1.06 (0.92, 1.22) N/Aa N/A
   Bisexual 0.91 (0.75, 1.11) 0.88 (0.73, 1.07) N/Aa N/A
  Early alcohol initiation 1.91 (1.79, 2.04)
 Past-year alcohol use disorder
  Sexual identity (ref: Heterosexual)
   Gay 1.41 (1.13, 1.75) 1.44 (1.16, 1.79) 0.98 (0.94, 1.02) N/A
   Bisexual 1.23 (0.89, 1.70) 1.18 (0.85, 1.64) N/Aa N/A
  Early alcohol initiation 2.22 (2.01, 2.46)

Note: Boldface indicates statistical significance (p<0.05). All AOR estimates are weighted to account for NSDUH survey design and adjusted for age, race/ethnicity, education level, employment, marital status, living with children under age 18 years, income, and urbanicity. Total effect was estimated by a regression model including sexual identity and covariates. Direct and indirect effects were estimated by a regression model including sexual identity, early initiation, and covariates.

a

No disparity in adult substance use behavior/disorder.

N/A, not applicable (no evidence of mediation); HED, heavy episodic drinking; AUD, alcohol use disorder; NSDUH, National Survey on Drug Use and Health.

Early alcohol initiation was significantly associated with adult AUD among women (AOR=2.78, 95% CI=2.52, 3.08). Relative to heterosexual women, L/G women had significant AUD disparities (total effect: AOR=1.37, 95% CI=1.04, 1.80). Early alcohol initiation had a significant mediating effect on AUD among L/G women (AOR=1.13, 95% CI=1.08, 1.18), explaining 38% of the total effect. No significant direct effect remained when accounting for early initiation. Bisexual women also exhibited AUD disparities compared with heterosexual women (total effect: AOR=1.95, 95% CI=1.67, 2.27). Early alcohol initiation had a significant mediating effect on AUD (AOR=1.15, 95% CI=1.10, 1.20) among bisexual women, explaining 21% of the total effect. A significant direct effect remained when adjusting for early initiation (AOR=1.70, 95% CI=1.46, 1.97).

Among men, early alcohol initiation was significantly associated with adult HED (AOR=1.91, 95% CI=1.79, 2.04). Neither gay nor bisexual men exhibited HED disparities; mediating effects of early initiation were not present.

Early alcohol initiation was significantly associated with adult AUD among men when controlling for sexual identity (AOR=2.22, 95% CI=2.01, 2.46). Relative to heterosexual men, gay men had significant AUD disparities (total effect: AOR=1.41, 95% CI=1.13, 1.75; direct effect: AOR=1.44, 95% CI=1.16, 1.79); however, early alcohol initiation was not a significant mediator. Bisexual men did not exhibit AUD disparities; a mediating effect of early initiation was not present.

Early smoking initiation was significantly associated with current smoking among women (AOR=2.91, 95% CI=2.70, 3.12; Table 4). Relative to heterosexual women, L/G women experienced significant current smoking disparities (total effect: AOR=1.58, 95% CI=1.33, 1.87). Early smoking initiation had a significant mediating effect on current smoking (AOR=1.11, 95% CI=1.06, 1.16) among L/G women, explaining 22% of total effect. After adjusting for early initiation, a significant direct effect remained (AOR=1.43, 95% CI=1.21, 1.69). Bisexual women also exhibited current smoking disparities relative to heterosexual women (total effect: AOR=1.93, 95% CI=1.75, 2.12). Early smoking initiation had a significant mediating effect among bisexual women (AOR=1.16, 95% CI=1.11, 1.21), explaining 22% of the total effect. A significant direct effect remained when accounting for early initiation (AOR=1.67, 95% CI=1.51, 1.84).

Table 4.

Mediation Analysis Results by Sexual Identity and Gender: Current Smoking and Past-Month Nicotine Dependence

Total effect Direct effect Mediated effect (indirect effect)
Variable AOR (95% CI) AOR (95% CI) AOR (95% CI) % Mediated
Women
 Current smoking
  Sexual identity (ref: Heterosexual)
   Lesbian/Gay 1.58 (1.33, 1.87) 1.43 (1.21, 1.69) 1.11 (1.06, 1.16) 22
   Bisexual 1.93 (1.75, 2.12) 1.67 (1.51, 1.84) 1.16 (1.11, 1.21) 22
  Early smoking initiation 2.91 (2.70, 3.12)
 Past-month nicotine dependence
  Sexual Identity (ref: Heterosexual)
   Lesbian/Gay 1.45 (1.10, 1.92) 1.31 (0.99, 1.73) 1.11 (1.06, 1.16) 28
   Bisexual 1.67 (1.44, 1.94) 1.44 (1.24, 1.67) 1.16 (1.11, 1.22) 29
  Early smoking initiation 3.01 (2.75, 3.31)
Men
 Current smoking
  Sexual identity (ref: Heterosexual)
   Gay 1.29 (1.06, 1.57) 1.29 (1.06, 1.57) 1.00 (0.95, 1.04) N/A
   Bisexual 1.06 (0.86, 1.31) 1.01 (0.82, 1.25) N/Aa N/A
  Early smoking initiation 2.41 (2.26, 2.57)
 Past-month nicotine dependence
  Sexual identity (ref: Heterosexual)
   Gay 1.40 (1.11, 1.78) 1.41 (1.12, 1.78) 0.99 (0.95, 1.05) N/A
   Bisexual 1.17 (0.93, 1.48) 1.11 (0.88, 1.41) N/Aa N/A
  Early smoking initiation 2.65 (2.48, 2.83)

Note: Boldface indicates statistical significance (p<0.05). All AOR estimates are weighted to account for NSDUH survey design and adjusted for age, race/ethnicity, education level, employment, marital status, living with children under age 18 years, income, and urbanicity. Total effect was estimated by a regression model including sexual identity and covariates. Direct and indirect effects were estimated by a regression model including sexual identity, early initiation and covariates.

a

No disparity in adult substance use behavior/disorder.

N/A, not applicable (no evidence of mediation); NSDUH, National Survey on Drug Use and Health.

Early smoking initiation was significantly associated with adult nicotine dependence among women (AOR=3.01, 95% CI=2.75, 3.31). Relative to heterosexual women, L/G women had significant nicotine dependence disparities (total effect: AOR=1.45, 95% CI=1.10, 1.92). Early smoking initiation had a significant mediating effect on nicotine dependence among L/G women (AOR=1.11, 95% CI=1.06, 1.16), explaining 28% of the total effect. No significant direct effect remained. Bisexual women also experienced nicotine dependence disparities compared with heterosexual women (total effect: AOR=1.67, 95% CI=1.44, 1.94). Early smoking initiation had a significant mediating effect among bisexual women (AOR=1.16, 95% CI=1.11, 1.22), explaining 29% of the total effect. When accounting for early initiation, a significant direct effect remained (AOR=1.44, 95% CI=1.24, 1.67).

Among men, early smoking initiation was significantly associated with current smoking (AOR=2.41, 95% CI=2.26, 2.57). Gay men exhibited current smoking disparities compared with heterosexual men (total effect: AOR=1.29, 95% CI=1.06, 1.57; direct effect: AOR=1.29, 95% CI=1.06, 1.57); however, early smoking initiation was not a significant mediator. Bisexual men did not exhibit current smoking disparities; a mediating effect of early initiation was not present.

Early smoking initiation was significantly associated with adult nicotine dependence among men (AOR=2.65, 95% CI=2.48, 2.83). Gay men experienced significant nicotine dependence disparities (total effect: AOR=1.29, 95% CI=1.06, 1.57; direct effect: AOR=1.29, 95% CI=1.06, 1.57); yet, early smoking initiation was not a significant mediator. Bisexual men did not exhibit nicotine dependence disparities; a mediating effect of early initiation was not present.

DISCUSSION

This study characterized disparities in early initiation of alcohol and smoking across LGB subgroups and examined the potential mediating effects of early initiation on adult alcohol and smoking disparities. Relative to heterosexual women, L/G and bisexual women reported significantly higher rates of initiating smoking and alcohol use prior to age 15 years. Both L/G and bisexual women exhibited adulthood disparities in AUD, current smoking, and nicotine dependence; bisexual women additionally exhibited disparities in HED. Mediation analyses indicated that early alcohol initiation explained 21%–38% of HED and AUD disparities and early smoking initiation explained 22%–29% of current smoking and nicotine dependence disparities among L/G and bisexual women. This suggests that enhanced prevention and early intervention may considerably reduce adult disparities among LGB women.

Results provided no evidence that early initiation represented a mediating pathway for use among gay or bisexual men. For mediation to be present, disparities in both early initiation and adult outcomes must be present. Although bisexual men initiated alcohol use and smoking earlier than their heterosexual counterparts, they did not exhibit disparities in adult alcohol or smoking outcomes. Conversely, though gay men exhibited disparities in AUD, smoking, and nicotine dependence during adulthood, they did not initiate smoking or alcohol use at significantly younger ages than heterosexual men.

Minority stress and LGB-specific stressors during adolescent development may contribute to the observed early initiation disparities among L/G and bisexual women and bisexual men. Relative to heterosexual peers, male and female sexual minority youth experience higher rates of school-based bullying, electronic bullying, and feeling unsafe at school.45 Furthermore, LGB youth experience higher levels of childhood sexual and physical abuse46 as well as sexual dating violence.45 Additionally, relative to heterosexual peers, female LGB youth report lower parental support,47 a significant protective factor for substance use during adolescence.48,49 Emerging evidence suggests that LGB female individuals, relative to heterosexual counterparts, have more favorable alcohol use expectancies and overestimate the amount of alcohol peers consume, both of which may elevate drinking risk.50,51 As traditional female gender norms are generally protective against substance use, weaker identification with female gender norms among L/G and bisexual female individuals may also contribute to early initiation risk.52 Both male and female bisexual youth may face bisexual-specific stigma arising from the dominant binary model of sexual orientation (homosexuality or heterosexuality), including skepticism regarding bisexuality, perceptions that bisexuals are confused about their sexual identity, and bisexual “invisibility.”53 Relative to both heterosexual and other sexual minority individuals, bisexual male and female individuals are at increased risk for anxiety, depression, and suicidality54,55; these mental health problems may arise in adolescence and contribute to substance use risk.

Universal screening for substance use, brief intervention, and referral to treatment has recently been recommended as part of routine adolescent health care.56 Its implementation should be inclusive of LGB youth, addressing risk factors salient to sexual minorities that are also important to heterosexual youth (e.g., family relationships, bullying). Although attachment-based family therapy has been found to reduce suicidal ideation among LGB youth,57 the effectiveness of integrating this model into substance use treatment for LGB youth remains largely unexamined.58,59 School-based drug prevention programs often focus on internal and external pressures to use60; curricula that discuss LGB-specific stressors (e.g., coming out, rejection by peers and family) may help address LGB early initiation. Broadly, initiatives that serve to reduce LGB minority stress may also have a preventative effect. For example, sexuality education curricula that are inclusive of sexual minorities promote a safer school climate for LGB youth61 and school-based gay–straight alliances and anti-bullying state laws are associated with reduced LGB bullying and victimization.62,63

Overall, the current findings highlight important heterogeneity in early initiation risk and adult disparities among sexual minorities. It is not clear why gay male individuals are uniquely not at risk for early initiation, despite having elevated rates of smoking and alcohol use during adulthood, or why early initiation among bisexual male youth does not lead to elevated use during adulthood as it does for L/G and bisexual female youth. Minority stress experiences, as well as other risk factors, likely vary by sexual identity and gender in complex ways that are not yet fully understood. Although disparities for bisexual male youth did not persist into adulthood, early use of alcohol and tobacco has particularly detrimental effects and points to the need to enhance adolescent prevention efforts. The later emergence of disparities for gay male individuals suggests unique factors may influence their alcohol and smoking relative to other sexual minorities; further work is needed to identify these factors and determine at what age the disparities emerge for gay male individuals.

Limitations

Measures of sexual identity, substance use behaviors, and age of first use are self-reported; measurement error may be present due to social desirability or recall bias. Though analyses adjusted for multiple demographic covariates, other salient risk and protective factors that may differ between heterosexual and LGB individuals were not measured by the NSDUH (e.g., discrimination, victimization, social support); residual confounding may be present owing to these unmeasured factors. Given the cross-sectional nature of the data, mediation analyses are not intended to establish causality. Although the patterns of associations observed are consistent with the hypothesis that substance use outcomes among LGB adults are mediated by early initiation, alternative causal relationships are possible.

CONCLUSIONS

Adolescent prevention and treatment efforts are needed to address early alcohol and smoking initiation among L/G and bisexual female and bisexual male youth. Reducing early initiation among LGB female youth may notably reduce their adulthood disparities in alcohol and cigarette use. More research is needed to elucidate why early initiation among bisexual male youth does not appear to elevate use during adulthood and to examine the etiology of disparities in alcohol and cigarette use among adult gay men.

ACKNOWLEDGMENTS

This study is a secondary analysis of data from the National Survey on Drug Use and Health (NSDUH). The NSDUH is directed by the Substance Abuse and Mental Health Services Administration and conducted by RTI International, a nonprofit research organization.

MSS and RLC were supported by award R01MH104381 from the National Institute of Mental Health. The content is solely the responsibility of the authors and does not necessarily represent the official views of NIMH, the NIH, or the U.S. Government. The sponsor did not have any role in study design; collection, analysis, and interpretation of data; writing the report; or the decision to submit the report for publication.

MSS conceptualized the study, performed analyses, and led manuscript writing; RLC contributed to the study design, interpretation of results, and manuscript writing. Both authors have read and approved the final version of the manuscript.

No financial disclosures were reported by the authors of this paper.

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

REFERENCES

  • 1.Schuler MS, Rice CE, Evans-Polce RJ, Collins RL. Disparities in substance use behaviors and disorders among adult sexual minorities by age, gender, and sexual identity. Drug Alcohol Depend. 2018;189:139–146. 10.1016/j.drugalcdep.2018.05.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Operario D, Gamarel KE, Grin BM, et al. Sexual minority health disparities in adult men and women in the United States: National Health and Nutrition Examination Survey, 2001–2010. Am J Public Health. 2015;105(10):e27–e34. 10.2105/ajph.2015.302762. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.McCabe SE, Matthews AK, Lee JGL, Veliz P, Hughes TL, Boyd CJ. Tobacco use and sexual orientation in a national cross-sectional study: age, race/ethnicity, and sexual identity-attraction differences. Am J Prev Med. 2018;54(6):736–745. 10.1016/j.amepre.2018.03.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.McCabe SE, Hughes TL, Matthews AK, et al. Sexual orientation discrimination and tobacco use disparities in the United States. Nicotine Tob Res. 2019;21(4):523–531. 10.1093/ntr/ntx283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Schuler MS, Stein BD, Collins RL. Differences in substance use disparities across age groups in a national cross-sectional survey of lesbian, gay, and bisexual adults. LGBT Health. 2019;6(2):68–76. 10.1089/lgbt.2018.0125. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Allen JL, Mowbray O. Sexual orientation, treatment utilization, and barriers for alcohol related problems: findings from a nationally representative sample. Drug Alcohol Depend. 2016;161:323–330. 10.1016/j.drugalcdep.2016.02.025. [DOI] [PubMed] [Google Scholar]
  • 7.McCabe SE, West BT, Hughes TL, Boyd CJ. Sexual orientation and substance abuse treatment utilization in the United States: results from a national survey. J Subst Abuse Treat. 2013;44(1):4–12. 10.1016/j.jsat.2012.01.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Corliss HL, Rosario M, Wypij D, Fisher LB, Austin SB. Sexual orientation disparities in longitudinal alcohol use patterns among adolescents: findings from the Growing Up Today study. Arch Pediatr Adolesc Med. 2008;162(11):1071–1078. 10.1001/archpedi.162.11.1071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Fish JN, Watson RJ, Gahagan J, Porta CM, Beaulieu-Prevost D, Russell ST. Smoking behaviours among heterosexual and sexual minority youth? Findings from 15 years of provincially representative data. Drug Alcohol Rev. 2019;38(1):101–110. 10.1111/dar.12880. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Fish JN, Watson RJ, Porta CM, Russell ST, Saewyc EM. Are alcohol-related disparities between sexual minority and heterosexual youth decreasing? Addiction. 2017;112(11):1931–1941. 10.1111/add.13896. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Johnson SE, Holder-Hayes E, Tessman GK, King BA, Alexander T, Zhao X. Tobacco product use among sexual minority adults: findings from the 2012–2013 National Adult Tobacco Survey. Am J Prev Med. 2016;50(4):e91–e100. 10.1016/j.amepre.2015.07.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Talley AE, Turner B, Foster AM, Phillips G 2nd. Sexual minority youth at risk of early and persistent alcohol, tobacco, and marijuana use. Arch Sex Behav. 2019;48(4):1073–1086. 10.1007/s10508-018-1275-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Watson RJ, Lewis NM, Fish JN, Goodenow C. Sexual minority youth continue to smoke cigarettes earlier and more often than heterosexuals: findings from population-based data. Drug Alcohol Depend. 2018;184:64–70. 10.1016/j.drugalcdep.2017.11.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Breslau N, Fenn N, Peterson EL. Early smoking initiation and nicotine dependence in a cohort of young adults. Drug Alcohol Depend. 1993;33(2):129–137. 10.1016/0376-8716(93)90054-t. [DOI] [PubMed] [Google Scholar]
  • 15.Hu MC, Davies M, Kandel DB. Epidemiology and correlates of daily smoking and nicotine dependence among young adults in the United States. Am J Public Health. 2006;96(2):299–308. 10.2105/ajph.2004.057232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Kendler KS, Myers J, Damaj MI, Chen X. Early smoking onset and risk for subsequent nicotine dependence: a monozygotic co-twin control study. Am J Psychiatry. 2013;170(4):408–413. 10.1176/appi.ajp.2012.12030321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Buchmann AF, Blomeyer D, Jennen-Steinmetz C, et al. Early smoking onset may promise initial pleasurable sensations and later addiction. Addict Biol. 2013;18(6):947–954. 10.1111/j.1369-1600.2011.00377.x. [DOI] [PubMed] [Google Scholar]
  • 18.Grant BF, Dawson DA. Age at onset of alcohol use and its association with DSM-IV alcohol abuse and dependence: results from the National Longitudinal Alcohol Epidemiologic Survey. J Subst Abuse. 1997;9:103–110. 10.1016/s0899-3289(97)90009-2. [DOI] [PubMed] [Google Scholar]
  • 19.Windle M, Windle RC. Early onset problem behaviors and alcohol, tobacco, and other substance use disorders in young adulthood. Drug Alcohol Depend. 2012;121(1‒2):152–158. 10.1016/j.drugalcdep.2011.08.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Dawson DA, Goldstein RB, Chou SP, Ruan WJ, Grant BF. Age at first drink and the first incidence of adult-onset DSM-IV alcohol use disorders. Alcohol Clin Exp Res. 2008;32(12):2149–2160. 10.1111/j.1530-0277.2008.00806.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.DeWit DJ, Adlaf EM, Offord DR, Ogborne AC. Age at first alcohol use: a risk factor for the development of alcohol disorders. Am J Psychiatry. 2000;157(5):745–750. 10.1176/appi.ajp.157.5.745. [DOI] [PubMed] [Google Scholar]
  • 22.Fish JN, Baams L. Trends in alcohol-related disparities between heterosexual and sexual minority youth from 2007 to 2015: findings from the Youth Risk Behavior Survey. LGBT Health. 2018;5(6):359–367. 10.1089/lgbt.2017.0212. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Cambron C, Kosterman R, Catalano RF, Guttmannova K, Hawkins JD. Neighborhood, family, and peer factors associated with early adolescent smoking and alcohol use. J Youth Adolesc. 2018;47(2):369–382. 10.1007/s10964-017-0728-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Leung RK, Toumbourou JW, Hemphill SA. The effect of peer influence and selection processes on adolescent alcohol use: a systematic review of longitudinal studies. Health Psychol Rev. 2014;8(4):426–457. 10.1080/17437199.2011.587961. [DOI] [PubMed] [Google Scholar]
  • 25.Eisenberg ME, Toumbourou JW, Catalano RF, Hemphill SA. Social norms in the development of adolescent substance use: a longitudinal analysis of the International Youth Development Study. J Youth Adolesc. 2014;43(9):1486–1497. 10.1007/s10964-014-0111-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Meyer IH. Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: conceptual issues and research evidence. Psychol Bull. 2003;129(5):674–697. 10.1037/0033-2909.129.5.674. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Goldbach JT, Tanner-Smith EE, Bagwell M, Dunlap S. Minority stress and substance use in sexual minority adolescents: a meta-analysis. Prev Sci. 2014;15(3):350–363. 10.1007/s11121-013-0393-7. [DOI] [PubMed] [Google Scholar]
  • 28.Mulvey KL, Killen M. Challenging gender stereotypes: resistance and exclusion. Child Dev. 2015;86(3):681–694. 10.1111/cdev.12317. [DOI] [PubMed] [Google Scholar]
  • 29.Poteat VP, Anderson CJ. Developmental changes in sexual prejudice from early to late adolescence: the effects of gender, race, and ideology on different patterns of change. Dev Psychol. 2012;48(5):1403–1415. 10.1037/a0026906. [DOI] [PubMed] [Google Scholar]
  • 30.Kosciw JG, Greytak EA, Giga NM, Villenas C, Danischewski DJ. The 2015 National School Climate Survey: the experiences of lesbian, gay, bisexual, transgender, and queer youth in our nation’s schools. New York, NY: GLSEN; 2016. [Google Scholar]
  • 31.Rosario M, Schrimshaw EW. The sexual identity development and health of lesbian, gay, and bisexual adolescents: an ecological perspective In: Patterson CJ, D’Augelli AR, eds. Handbook of psychology and sexual orientation. New York, NY: Oxford University Press; 2013:87–101. 10.1093/acprof:oso/9780199765218.003.0007. [DOI] [Google Scholar]
  • 32.Jannat-Khah DP, Dill LJ, Reynolds SA, Joseph MA. Stress, socializing, and other motivations for smoking among the lesbian, gay, bisexual, transgender, and queer community in New York City. Am J Health Promot. 2018;32(5):1178–1186. 10.1177/0890117117694449. [DOI] [PubMed] [Google Scholar]
  • 33.Gonzales G, Przedworski J, Henning-Smith C. Comparison of health and health risk factors between lesbian, gay, and bisexual adults and heterosexual adults in the United States: results from the National Health Interview Survey. JAMA Intern Med. 2016;176(9):1344–1351. 10.1001/jamainternmed.2016.3432. [DOI] [PubMed] [Google Scholar]
  • 34.Cochran SD, Bandiera FC, Mays VM. Sexual orientation-related differences in tobacco use and secondhand smoke exposure among U.S. adults aged 20 to 59 years: 2003‒2010 National Health and Nutrition Examination Surveys. Am J Public Health. 2013;103(10):1837–1844. 10.2105/ajph.2013.301423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Taylor J Bisexual mental health: a call to action. Issues Ment Health Nurs. 2018;39(1):83–92. 10.1080/01612840.2017.1391904. [DOI] [PubMed] [Google Scholar]
  • 36.Bostwick WB, Dodge B. Introduction to the special section on bisexual health: can you see us now? Arch Sex Behav. 2019;48(1):79–87. 10.1007/s10508-018-1370-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Chou SP, Pickering RP. Early onset of drinking as a risk factor for lifetime alcohol-related problems. Br J Addict. 1992;87(8):1199–1204. 10.1111/j.1360-0443.1992.tb02008.x. [DOI] [PubMed] [Google Scholar]
  • 38.McGue M, Iacono WG, Krueger R. The association of early adolescent problem behavior and adult psychopathology: a multivariate behavioral genetic perspective. Behav Genet. 2006;36(4):591–602. 10.1007/s10519-006-9061-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Lee LO, Young-Wolff KC, Kendler KS, Prescott CA. The effects of age at drinking onset and stressful life events on alcohol use in adulthood: a replication and extension using a population-based twin sample. Alcohol Clin Exp Res. 2012;36(4):693–704. 10.1111/j.1530-0277.2011.01630.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Kenny DA, Kashy DA, Bolger N. Data analysis in social psychology In: Gilbert D, Fiske ST, Lindzey G, eds. Handbook of social psychology. Vol 1 4th ed New York, NY: McGraw-Hill; 1998:233–265. [Google Scholar]
  • 41.MacKinnon DP, Fairchild AJ, Fritz MS. Mediation analysis. Annu Rev Psychol. 2007;58:593–614. 10.1146/annurev.psych.58.110405.085542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Fairchild AJ, McDaniel HL. Best (but oft-forgotten) practices: mediation analysis. Am J Clin Nutr. 2017;105(6):1259–1271. 10.3945/ajcn.117.152546. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Breen R, Karlson KB, Holm A. Total, direct, and indirect effects in logit and probit models. Sociol Methods Res. 2013;42(2):164–191. 10.1177/0049124113494572. [DOI] [Google Scholar]
  • 44.Kohler U, Karlson KB, Holm A. Comparing coefficients of nested nonlinear probability models. Stata J. 2011;11(3):420–438. 10.1177/1536867x1101100306. [DOI] [Google Scholar]
  • 45.Johns MM, Lowry R, Rasberry CN, et al. Violence victimization, substance use, and suicide risk among sexual minority high school students - United States, 2015–2017. MMWR Morb Mortal Wkly Rep. 2018;67(43):1211–1215. 10.15585/mmwr.mm6743a4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Hughes T, McCabe SE, Wilsnack SC, West BT, Boyd CJ. Victimization and substance use disorders in a national sample of heterosexual and sexual minority women and men. Addiction. 2010;105(12):2130–2140. 10.1111/j.1360-0443.2010.03088.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Needham BL, Austin EL. Sexual orientation, parental support, and health during the transition to young adulthood. J Youth Adolesc. 2010;39(10):1189–1198. 10.1007/s10964-010-9533-6. [DOI] [PubMed] [Google Scholar]
  • 48.Saewyc EM, Homma Y, Skay CL, Bearinger LH, Resnick MD, Reis E. Protective factors in the lives of bisexual adolescents in North America. Am J Public Health. 2009;99(1):110–117. 10.2105/ajph.2007.123109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Eisenberg ME, Resnick MD. Suicidality among gay, lesbian and bisexual youth: the role of protective factors. J Adolesc Health. 2006;39(5):662–668. 10.1016/j.jadohealth.2006.04.024. [DOI] [PubMed] [Google Scholar]
  • 50.Fish JN, Hughes TL. Alcohol expectancies, heavy drinking, and indicators of alcohol use disorders in a community-based sample of lesbian and bisexual women. LGBT Health. 2018;5(2):105–111. 10.1089/lgbt.2017.0145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Hatzenbuehler ML, Corbin WR, Fromme K. Trajectories and determinants of alcohol use among LGB young adults and their heterosexual peers: results from a prospective study. Dev Psychol. 2008;44(1):81–90. 10.1037/0012-1649.44.1.81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Brady J, Iwamoto DK, Grivel M, Kaya A, Clinton L. A systematic review of the salient role of feminine norms on substance use among women. Addict Behav. 2016;62:83–90. 10.1016/j.addbeh.2016.06.005. [DOI] [PubMed] [Google Scholar]
  • 53.Feinstein BA, Dyar C. Bisexuality, minority stress, and health. Curr Sex Health Rep. 2017;9(1):42–49. 10.1007/s11930-017-0096-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Salway T, Ross LE, Fehr CP, et al. A systematic review and meta-analysis of disparities in the prevalence of suicide ideation and attempt among bisexual populations. Arch Sex Behav. 2019;48(1):89–111. 10.1007/s10508-018-1150-6. [DOI] [PubMed] [Google Scholar]
  • 55.Ross LE, Salway T, Tarasoff LA, MacKay JM, Hawkins BW, Fehr CP. Prevalence of depression and anxiety among bisexual people compared to gay, lesbian, and heterosexual individuals: a systematic review and meta-analysis. J Sex Res. 2018;55(4‒5):435–456. 10.1080/00224499.2017.1387755. [DOI] [PubMed] [Google Scholar]
  • 56.Committee on Substance Use and Prevention. Substance use screening, brief intervention, and referral to treatment. Pediatrics. 2016;138(1):e20161210 10.1542/peds.2016-1210. [DOI] [PubMed] [Google Scholar]
  • 57.Diamond GM, Diamond GS, Levy S, Closs C, Ladipo T, Siqueland L. Attachment-based family therapy for suicidal lesbian, gay, and bisexual adolescents: a treatment development study and open trial with preliminary findings. Psychotherapy (Chic). 2012;49(1):62–71. 10.1037/a0026247. [DOI] [PubMed] [Google Scholar]
  • 58.Anderson SC. Substance use disorders in lesbian, gay, bisexual, and transgender clients: assessment and treatment. New York, NY: Columbia University Press; 2009. 10.7312/ande14274. [DOI] [Google Scholar]
  • 59.Parent MC, Arriaga AS, Gobble T, Wille L. Stress and substance use among sexual and gender minority individuals across the lifespan. Neurobiol Stress. 2019;10:100146 10.1016/j.ynstr.2018.100146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Agabio R, Trincas G, Floris F, Mura G, Sancassiani F, Angermeyer MC. A systematic review of school-based alcohol and other drug prevention programs. Clin Pract Epidemiol Ment Health. 2015;11(suppl 1 M6):102–112. 10.2174/1745017901511010102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Baams L, Dubas JS, van Aken MA. Comprehensive sexuality education as a longitudinal predictor of LGBTQ name-calling and perceived willingness to intervene in school. J Youth Adolesc. 2017;46(5):931–942. 10.1007/s10964-017-0638-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Marx RA, Kettrey HH. Gay-straight alliances are associated with lower levels of school-based victimization of LGBTQ+ youth: a systematic review and meta-analysis. J Youth Adolesc. 2016;45(7):1269–1282. 10.1007/s10964-016-0501-7. [DOI] [PubMed] [Google Scholar]
  • 63.Hatzenbuehler ML, Schwab-Reese L, Ranapurwala SI, Hertz MF, Ramirez MR. Associations between antibullying policies and bullying in 25 states. JAMA Pediatr. 2015;169(10):e152411 10.1001/jamapediatrics.2015.2411. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES