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Abstract

Sexual-minority women (SMW) report higher rates of substance use and disorder across the life span and greater levels of minority stress in adolescence and young adulthood. Minority stress mediation models propose that higher levels of social stressors may increase emotion dysregulation, which in turn increases the propensity toward substance misuse. Few studies, however, have prospectively examined the impact of stressors and emotion dysregulation among SMW on early and escalating substance use. In this longitudinal study, we examined whether emotion dysregulation and social stress mediated the association between sexual-minority status and developing substance use (ages 17–22) in a sample of 2,201 heterosexual and 246 SMW participants in the Pittsburgh Girls Study. Results supported serial mediation processes of marijuana-use risk: SMW reported higher levels of social stress in late adolescence, which in turn predicted greater emotion dysregulation that was associated with greater marijuana use by young adulthood.

Keywords

minority groups substance disorders sexual orientation emotional control psychological stress

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References

Aguinis

(1995). Statistical power with moderated multiple regression in management research. Journal of Management, 21(6), 1141–1158. https://doi.org/10.1177/014920639502100607

Aldao

Nolen-Hoeksema

Schweizer

(2010). Emotion-regulation strategies across psychopathology: A meta-analytic review. Clinical Psychology Review, 30(2), 217–237. https://doi.org/10.1016/j.cpr.2009.11.004

Andersen

S. L.

Teicher

M. H.

(2009). Desperately driven and no brakes: Developmental stress exposure and subsequent risk for substance abuse. Neuroscience and Biobehavioral Reviews, 33(4), 516–524. https://doi.org/10.1016/j.neubiorev.2008.09.009

Atkins

D. C.

Baldwin

S. A.

Zheng

Gallop

R. J.

Neighbors

(2013). A tutorial on count regression and zero-altered count models for longitudinal substance use data. Psychology of Addictive Behaviors, 27(1), 166–177. https://doi.org/10.1037/a0029508

Austin

S. B.

Jun

H. J.

Jackson

Spiegelman

Rich-Edwards

Corliss

H. L.

Wright

R. J.

(2008). Disparities in child abuse victimization in lesbian, bisexual, and heterosexual women in the Nurses’ Health Study II. Journal of Women’s Health, 17(4), 597–606. https://doi.org/10.1089/jwh.2007.0450

Babowitch

J. D.

Antshel

K. M.

(2016). Adolescent treatment outcomes for comorbid depression and substance misuse: A systematic review and synthesis of the literature. Journal of Affective Disorders, 201, 25–33. https://doi.org/10.1016/j.jad.2016.04.018

Baraldi

A. N.

Enders

C. K.

(2010). An introduction to modern missing data analyses. Journal of School Psychology, 48(1), 5–37. https://doi.org/10.1016/j.jsp.2009.10.001

Bauer

G. R.

(2014). Incorporating intersectionality theory into population health research methodology: Challenges and the potential to advance health equity. Social Science and Medicine, 110, 10–17. https://doi.org/10.1016/j.socscimed.2014.03.022

Bollen

K. A.

Curran

P. J.

(2006). Laten curve models: A structural equation perspective. John Wiley & Sons.

10.

Bowleg

(2008). When Black + lesbian + woman ≠ Black lesbian woman: The methodological challenges of qualitative and quantitative intersectionality research. Sex Roles, 59(5–6), 312–325. https://doi.org/10.1007/s11199-008-9400-z

11.

Brady

K. T.

Sinha

(2005). Co-occurring mental and substance use disorders: The neurobiological effects of chronic stress. American Journal of Psychiatry, 162(8), 1483–1493. https://doi.org/10.1176/appi.ajp.162.8.1483

12.

Chassin

Pitts

S. C.

Prost

(2002). Binge drinking trajectories from adolescence to emerging adulthood in a high-risk sample: Predictors and substance abuse outcomes. Journal of Consulting and Clinical Psychology, 70(1), 67–78. https://doi.org/10.1037/0022-006X.70.1.67

13.

Chassin

Ritter

Trim

King

K. M.

(2003). Adolescent substance use disorders. Child Psychopathology, 2, 199–230.

14.

Chen

F. F.

(2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14(3), 464–504. https://doi.org/10.1080/10705510701301834

15.

Cheong

J. W.

MacKinnon

D. P.

Khoo

S. T.

(2003). Investigation of mediational processes using parallel process latent growth curve modeling. Structural Equation Modeling, 10(2), 238–262. https://doi.org/10.1207/S15328007SEM1002_5

16.

Cheung

G. W.

Rensvold

R. B.

(2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255. https://doi.org/10.1207/S15328007SEM0902_5

17.

Cochran

S. D.

Ackerman

Mays

V. M.

Ross

M. W.

(2004). Prevalence of non-medical drug use and dependence among homosexuality active men and women in the US population. Addiction, 99(8), 989–998. https://doi.org/10.1111/j.1360-0443.2004.00759.x

18.

Cohen

Kessler

R. C.

Gordon

L. U.

(1995). Strategies for measuring stress in studies of psychiatric and physical disorders. In Cohen

Kessler

R. C.

Gordon

L. U.

(Eds.), Measuring stress: A guide for health and social scientists (pp. 3–26). Oxford University Press.

19.

Coker

T. R.

Austin

S. B.

Schuster

M. A.

(2010). The health and health care of lesbian, gay, and bisexual adolescents. Annual Review of Public Health, 31, 457–477. https://doi.org/10.1146/annurev.publhealth.012809.103636

20.

Cooper

M. L.

Kuntsche

Levitt

Barber

L. L.

Wolf

(2016). Motivational models of substance use: A review of theory and research on motives for using alcohol, marijuana, and tobacco. In Sher

K. J.

(Ed.), The Oxford handbook of substance use and substance use disorders (Vol. 1, pp. 375–421). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199381678.013.017

21.

Crenshaw

(1991). Mapping the margins: Intersectionality, identity politics, and violence against women of color. Stanford Law Review, 43(6), 1241–1299. https://doi.org/10.2307/1229039

22.

D’Augelli

A. R.

(2006). Coming out, visibility, and creating change: Empowering lesbian, gay, and bisexual people in a rural university community. American Journal of Community Psychology, 37(3–4), 365–376. https://doi.org/10.1007/s10464-006-9043-6

23.

Day

J. K.

Fish

J. N.

Perez-Brumer

Hatzenbuehler

Russell

S. T.

(2017). Transgender youth substance use disparities: Results from a population-based sample. Journal of Adolescent Health, 61(6), 729–735. https://doi.org/10.1016/j.physbeh.2017.03.040

24.

Dermody

S. S.

Marshal

M. P.

Burton

C. M.

Chisolm

D. J.

(2016). Risk of heavy drinking among sexual minority adolescents: Indirect pathways through sexual orientation-related victimization and affiliation with substance-using peers. Addiction, 111(9), 1599–1606. https://doi.org/10.1111/add.13409

25.

Dermody

S. S.

McGinley

Eckstrand

Marshal

M. P.

(2020). Sexual minority female youth and substance use disparities across development. Journal of LGBT Youth, 17(2), 214–229. https://doi.org/10.1080/19361653.2019.1598313

26.

Dimeff

L. A.

Linehan

M. M.

(2008). Dialectical behavior therapy for substance abusers. Addiction Science & Clinical Practice, 4(2), 39–47. https://doi.org/10.1151/ascp084239

27.

Dworkin

E. R.

Cadigan

Hughes

Lee

Kaysen

(2018). Sexual identity of drinking companions, drinking motives, and drinking behaviors among young sexual minority women: An analysis of daily data. Psychology of Addictive Behaviors, 32(5), 540–551. https://doi.org/10.1037/adb0000384

28.

Else-Quest

N. M.

Hyde

J. S.

(2016). Intersectionality in quantitative psychological research: II. Methods and techniques. Psychology of Women Quarterly, 40(3), 319–336. https://doi.org/10.1177/0361684316647953

29.

Enders

C. K.

(2017). Multiple imputation as a flexible tool for missing data handling in clinical research. Behaviour Research and Therapy, 98, 4–18. https://doi.org/10.1016/j.brat.2016.11.008

30.

Enders

C. K.

Mistler

S. A.

Keller

B. T.

(2016). Multilevel multiple imputation: A review and evaluation of joint modeling and chained equations imputation. Psychological Methods, 21(2), 222–240. https://doi.org/10.1037/met0000063

31.

Enoch

M. A.

(2011). The role of early life stress as a predictor for alcohol and drug dependence. Psychopharmacology, 214, 17–31. https://doi.org/10.1007/s00213-010-1916-6

32.

Evans

E. A.

Grella

C. E.

Washington

D. L.

Upchurch

D. M.

(2017). Gender and race/ethnic differences in the persistence of alcohol, drug, and poly-substance use disorders. Drug and Alcohol Dependence, 174, 128–136. https://doi.org/10.1016/j.drugalcdep.2017.01.021

33.

Feinstein

B. A.

Newcomb

M. E.

(2016). The role of substance use motives in the associations between minority stressors and substance use problems among young men who have sex with men. Psychology of Sexual Orientation and Gender Diversity, 3(3), 357–366. https://doi.org/https://doi.org/10.1037/sgd0000185

34.

Gelman

Rubin

D. B.

(1992). Inference from iterative simulation using multiple sequences. Statistical Science, 7(4), 457–472. https://doi.org/10.1214/ss/1177011136

35.

Giombini

(2015). Handbook of emotion regulation. Advances in Eating Disorders, 30(1), 115–117. https://doi.org/10.1080/21662630.2014.953321

36.

Goldbach

J. T.

Tanner-Smith

E. E.

Bagwell

Dunlap

(2014). Minority stress and substance use in sexual minority adolescents: A meta-analysis. Prevention Science, 15, 350–363. https://doi.org/10.1007/s11121-013-0393-7

37.

Graham

J. W.

Taylor

B. J.

Olchowski

A. E.

Cumsille

P. E.

(2006). Planned missing data designs in psychological research. Psychological Methods, 11(4), 323–343. https://doi.org/10.1037/1082-989X.11.4.323

38.

Grant

K. E.

Compas

B. E.

Stuhlmacher

A. F.

Thurm

A. E.

McMahon

S. D.

Halpert

J. A.

(2003). Stressors and child and adolescent psychopathology: Moving from markers to mechanisms of risk. Psychological Bulletin, 129(3), 447–466. https://doi.org/10.1037/0033-2909.129.3.447

39.

Gratz

K. L.

Roemer

(2004). Multidimensional assessment of emotion regulation and dysregulation: Development, factor structure, and initial validation of the Difficulties in Emotion Regulation Scale. Journal of Psychopathology and Behavioral Assessment, 26, 41–54. https://doi.org/10.1023/B:JOBA.0000007455.08539.94

40.

Green

K. E.

Feinstein

B. A.

(2012). Substance use in lesbian, gay, and bisexual populations: An update on empirical research and implications for treatment. Psychology of Addictive Behaviors, 26(2), 265–278. https://doi.org/10.1037/a0025424

41.

Greene

(1996). Lesbian women of color: Triple jeopardy. Journal of Lesbian Studies, 1(1), 109–147. https://doi.org/10.1300/J155v01n01_09

42.

Grov

Bimbi

D. S.

Nanín

J. E.

Parsons

J. T.

(2006). Race, ethnicity, gender, and generational factors associated with the coming-out process among gay, lesbian, and bisexual individuals. Journal of Sex Research, 43(2), 115–121. https://doi.org/10.1080/00224490609552306

43.

Hallion

L. S.

Steinman

S. A.

Tolin

D. F.

Diefenbach

G. J.

(2018). Psychometric properties of the difficulties in emotion regulation scale (DERS) and its short forms in adults with emotional disorders. Frontiers in Psychology, 9, Article 539. https://doi.org/10.3389/fpsyg.2018.00539

44.

Hatzenbuehler

M. L.

(2009). How does sexual minority stigma “get under the skin”? A psychological mediation framework. Psychological Bulletin, 135(5), 707–730. https://doi.org/10.1037/a0016441

45.

Hatzenbuehler

M. L.

McLaughlin

K. A.

Nolen-Hoeksema

(2008). Emotion regulation and internalizing symptoms in a longitudinal study of sexual minority and heterosexual adolescents. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 49(12), 1270–1278. https://doi.org/10.1111/j.1469-7610.2008.01924.x

46.

Hatzenbuehler

M. L.

Nolen-Hoeksema

Dovidio

(2009). How does stigma “get under the skin”?: The mediating role of emotion regulation. Psychological Science, 20(10), 1282–1289. https://doi.org/10.1111/j.1467-9280.2009.02441.x

47.

Heck

N. C.

Livingston

N. A.

Flentje

Oost

Stewart

B. T.

Cochran

B. N.

(2014). Reducing risk for illicit drug use and prescription drug misuse: High school gay-straight alliances and lesbian, gay, bisexual, and transgender youth. Addictive Behaviors, 39(4), 824–828. https://doi.org/10.1016/j.addbeh.2014.01.007

48.

Herdt

Mcclintock

(2000). The magical age of 10. Archives of Sexual Behavior, 29(6), 587–606. https://doi.org/10.1023/A:1002006521067

49.

Hill

R. W.

Huelsman

T. J.

Furr

R. M.

Kibler

Vicente

B. B.

Kennedy

(2004). A new measure of perfectionism: The Perfectionism Inventory. Journal of Personality Assessment, 82(1), 80–91. https://doi.org/10.1207/s15327752jpa8201_13

50.

Hipwell

A. E.

Loeber

Stouthamer-Loeber

Keenan

White

H. R.

Kroneman

(2002). Characteristics of girls with early onset disruptive and antisocial behaviour. Criminal Behaviour and Mental Health, 12(1), 99–118. https://doi.org/10.1002/cbm.489

51.

L. T.

Bentler

P. M.

(1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

52.

Huebner

D. M.

Thoma

B. C.

Neilands

T. B.

(2015). School victimization and substance use among lesbian, gay, bisexual, and transgender adolescents. Prevention Science, 16, 734–743. https://doi.org/10.1007/s11121-014-0507-x

53.

Hughes

T. L.

Wilsnack

S. C.

Szalacha

L. A.

Johnson

Bostwick

W. B.

Seymour

Aranda

Benson

Kinnison

K. E.

(2006). Age and racial/ethnic differences in drinking and drinking-related problems in a community sample of lesbians. Journal of Studies on Alcohol, 67(4), 579–590. https://doi.org/10.15288/jsa.2006.67.579

54.

Hussong

A. M.

Jones

D. J.

Stein

G. L.

Baucom

D. H.

Boeding

(2011). An internalizing pathway to alcohol use and disorder. Psychology of Addictive Behaviors, 25(3), 390–404. https://doi.org/10.1037/a0024519

55.

Johnson

T. P.

Hughes

T. L.

Cho

Y. I.

Wilsnack

S. C.

Aranda

Szalacha

L. A.

(2013). Hazardous drinking, depression, and anxiety among sexual-minority women: Self-medication or impaired functioning? Journal of Studies on Alcohol and Drugs, 74(4), 565–575. https://doi.org/10.15288/jsad.2013.74.565

56.

Jorgensen

T. D.

Pornprasertmanit

Schoemann

A. M.

Rosseel

(2020). semTools: Useful tools for structural equation modeling (Version 0.5-3) [Computer software]. Comprehensive R Archive Network. https://cran.r-project.org/package=semTools

57.

Keenan

Hipwell

Chung

Stepp

Stouthamer-Loeber

Loeber

McTigue

(2010). The Pittsburgh Girls Study: Overview and initial findings. Journal of Clinical Child and Adolescent Psychology, 39(4), 506–521. https://doi.org/10.1080/15374416.2010.486320

58.

Keller

B. T.

Enders

C. K.

Levy

(2017). A chained equations imputation approach for multi- level data with categorical and continuous variables. Psychological Methods, 23(2), 298–317. https://doi.org/10.1037/met0000148

59.

Keyes

K. M.

Wall

M. M.

Caetano

Suglia

S. F.

Martins

S. S.

Galea

Hasin

(2015). Racial/ethnic differences in use of alcohol, tobacco, and marijuana: Is there a cross-over from adolescence to adulthood? Social Science and Medicine, 124, 132–141. https://doi.org/10.1016/j.socscimed.2014.11.035

60.

King

K. M.

Littlefield

A. K.

McCabe

C. J.

Mills

K. L.

Flournoy

Chassin

(2018). Longitudinal modeling in developmental neuroimaging research: Common challenges, and solutions from developmental psychology. Developmental Cognitive Neuroscience, 33, 54–72. https://doi.org/10.1016/j.dcn.2017.11.009

61.

Kwon

(2013). Resilience in lesbian, gay, and bisexual individuals. Personality and Social Psychology Review, 17(4), 371–383. https://doi.org/10.1177/1088868313490248

62.

Lanza

S. T.

Vasilenko

S. A.

Dziak

J. J.

Butera

N. M.

(2015). Trends among U.S. high school seniors in recent marijuana use and associations with other substances: 1976-2013. Journal of Adolescent Health, 57(2), 198–204. https://doi.org/10.1016/j.jadohealth.2015.04.006

63.

Legate

Ryan

R. M.

Weinstein

(2012). Is coming out always a “good thing”? exploring the relations of autonomy support, outness, and wellness for lesbian, gay, and bisexual individuals. Social Psychological and Personality Science, 3(2), 145–152. https://doi.org/10.1177/1948550611411929

64.

Linehan

M. M.

(1993). Cognitive behavioural therapy of borderline personality disorder. Guilford.

65.

Little

T. D.

Rhemtulla

(2013). Planned missing data designs for developmental researchers. Child Development Perspectives, 7(4), 199–204. https://doi.org/10.1111/cdep.12043

66.

MacKinnon

D. P.

Lockwood

C. M.

Hoffman

J. M.

West

S. G.

Sheets

(2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7(1), 83–104. https://doi.org/10.1037/1082-989X.7.1.83

67.

MacKinnon

D. P.

Lockwood

C. M.

Williams

(2004). Confidence limits for the indirect effect: Distribution of the product and resampling methods. Multivariate Behavioral Research, 39(1), 99–128. https://doi.org/10.1207/s15327906mbr3901_4

68.

Marshal

M. P.

Dermody

S. S.

Shultz

M. L.

Sucato

G. S.

Stepp

S. D.

Chung

Burton

C. M.

Markovic

Hipwell

A. E.

(2013). Mental health and substance use disparities among urban adolescent lesbian and bisexual girls. Journal of the American Psychiatric Nurses Association, 19(5), 271–279. https://doi.org/10.1177/1078390313503552

69.

Marshal

M. P.

Friedman

M. S.

Stall

King

K. M.

Miles

Gold

M. A.

Bukstein

O. G.

Morse

J. Q.

(2008). Sexual orientation and adolescent substance use: A meta-analysis and methodological review. Addiction, 103(4), 546–556. https://doi.org/10.1111/j.1360-0443.2008.02149.x

70.

Marshal

M. P.

Friedman

M. S.

Stall

Thompson

A. L.

(2009). Individual trajectories of substance use in lesbian, gay and bisexual youth and heterosexual youth. Addiction, 104(6), 974–981. https://doi.org/10.1111/j.1360-0443.2009.02531.x

71.

Marshal

M. P.

King

K. M.

Stepp

S. D.

Hipwell

Smith

Chung

Friedman

M. S.

Markovic

(2012). Trajectories of alcohol and cigarette use among sexual minority and heterosexual girls. Journal of Adolescent Health, 50(1), P97–P99. https://doi.org/10.1016/j.jadohealth.2011.05.008

72.

McCabe

C. J.

King

K. M.

(2021) Minority stress and the development of problem alcohol use among sexual minority youth: A review synthesizing multidisciplinary mechanisms of risk. [Manuscript submitted for publication]. Department of Psychiatry, University of California, San Diego.

73.

McCabe

S. E.

Bostwick

W. B.

Hughes

T. L.

West

B. T.

Boyd

C. J.

(2010). The relationship between discrimination and substance use disorders among lesbian, gay, and bisexual adults in the United States. American Journal of Public Health, 100(10), 1946–1952. https://doi.org/10.2105/AJPH.2009.163147

74.

McCabe

S. E.

Hughes

T. L.

Bostwick

Boyd

C. J.

(2005). Assessment of difference in dimensions of sexual orientation: Implications for substance use research in a college-age population. Journal of Studies on Alcohol, 66(5), 620–629 https://doi.org/10.15288/jsa.2005.66.620

75.

McCabe

S. E.

Hughes

T. L.

Bostwick

W. B.

West

B. T.

Boyd

C. J.

(2009). Sexual orientation, substance use behaviors and substance dependence in the United States. Addiction, 104(8), 1333–1345. https://doi.org/10.1111/j.1360-0443.2009.02596.x

76.

McCabe

S. E.

Morales

Cranford

J. A.

Delva

McPherson

M. D.

Boyd

C. J.

(2007). Race/ethnicity and gender differences in drug use and abuse among college students. Journal of Ethnicity in Substance Abuse, 6(2), 75–95. https://doi.org/10.1300/J233v06n02_06

77.

McClelland

S. I.

Rubin

J. D.

Bauermeister

J. A.

(2016). “I liked girls and I thought they were pretty”: Initial memories of same-sex attraction in young lesbian and bisexual women. Archives of Sexual Behavior, 45(6), 1375–1389. https://doi.org/10.1007/s10508-015-0507-3

78.

McGue

Iacono

W. G.

(2005). The association of early adolescent problem behavior with adult psychopathology. American Journal of Psychiatry, 162(6), 1118–1124. https://doi.org/10.1176/appi.ajp.162.6.1118

79.

McHugh

R. K.

Votaw

V. R.

Sugarman

D. E.

Greenfield

S. F.

(2018). Sex and gender differences in substance use disorders. Clinical Psychology Review, 66, 12–23. https://doi.org/10.1016/j.cpr.2017.10.012

80.

McLaughlin

K. A.

Hatzenbuehler

M. L.

Xuan

Conron

K. J.

(2012). Disproportionate exposure to early-life adversity and sexual orientation disparities in psychiatric morbidity. Child Abuse and Neglect, 36(9), 645–655. https://doi.org/10.1016/j.chiabu.2012.07.004

81.

Meade

A. W.

Johnson

E. C.

Braddy

P. W.

(2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93(3), 568–592. https://doi.org/10.1037/0021-9010.93.3.568

82.

Mereish

E. H.

Bradford

J. B.

(2014). Intersecting identities and substance use problems: Sexual orientation, gender, race, and lifetime substance use problems. Journal of Studies on Alcohol and Drugs, 75(1), 179–188. https://doi.org/10.15288/jsad.2014.75.179

83.

Meyer

I. H.

(2003). Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: Conceptual issues and research evidence. Psychological Bulletin, 129(5), 674–697. https://doi.org/10.1037/0033-2909.129.5.674

84.

Mîndrilă

(2010). Maximum Likelihood (ML) and Diagonally Weighted Least Squares (DWLS) Estimation Procedures: A comparison of estimation bias with ordinal and multivariate non-normal data. International Journal for Digital Society, 1(1), 60–66. https://doi.org/10.20533/ijds.2040.2570.2010.0010

85.

Needham

B. L.

(2012). Sexual attraction and trajectories of mental health and substance use during the transition from adolescence to adulthood. Journal of Youth and Adolescence, 41, 179–190. https://doi.org/10.1007/s10964-011-9729-4

86.

Newcomb

M. E.

Mustanski

(2010). Internalized homophobia and internalizing mental health problems: A meta-analytic review. Clinical Psychology Review, 30(8), 1019–1029. https://doi.org/10.1016/j.cpr.2010.07.003

87.

Nolen-Hoeksema

Stice

Wade

Bohon

(2007). Reciprocal relations between rumination and bulimic, substance abuse, and depressive symptoms in female adolescents. Journal of Abnormal Psychology, 116(1), 198–207. https://doi.org/10.1037/0021-843X.116.1.198

88.

Osborne

T. L.

Michonski

Sayrs

Welch

S. S.

Anderson

L. K.

(2017). Factor structure of the difficulties in Emotion Regulation Scale (DERS) in adult outpatients receiving Dialectical Behavior Therapy (DBT). Journal of Psychopathology and Behavioral Assessment, 39(2), 355–371. https://doi.org/10.1007/s10862-017-9586-x

89.

Pachankis

J. E.

Jonathon Rendina

Restar

Ventuneac

Grov

Parsons

J. T.

(2015). A minority stress-emotion regulation model of sexual compulsivity among highly sexually active gay and bisexual men. Health Psychology, 34(8), 829–840. https://doi.org/10.1037/hea0000180

90.

Pandina

R. J.

Labouvie

E. W.

White

H. R.

(1984). Potential contributions of the life span developmental approach to the study of adolescent alcohol and drug use: The Rutgers Health and Human Development Project, a working model. Journal of Drug Issues, 14(2), 253–268. https://doi.org/10.1177/002204268401400206

91.

Parks

C. A.

Hughes

T. L.

(2005). Alcohol use and alcohol-related problems in self-identified lesbians: An historical cohort analysis. Journal of Lesbian Studies, 9(3), 31–44. https://doi.org/10.1300/J155v09n03_04

92.

Pechtel

Pizzagalli

D. A.

(2011). Effects of early life stress on cognitive and affective function: An integrated review of human literature. Psychopharmacology, 214, 55–70. https://doi.org/10.1007/s00213-010-2009-2

93.

Preacher

Wichman

MacCallum

Briggs

(2011). Latent growth curve modeling. SAGE. https://doi.org/10.4135/9781412984737

94.

R Core Team. (2020). R: A language and environment for statistical computing (Version 4.0.2) [Computer software]. R Foundation for Statistical Computing. http://www.R-project.org

95.

Rhemtulla

Brosseau-Liard

P. É.

Savalei

(2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17(3), 354–373. https://doi.org/10.1037/a0029315

96.

Rosario

Schrimshaw

E. W.

Hunter

(2004). Predictors of substance use over time among gay, lesbian, and bisexual youths: An examination of three hypotheses. Addictive Behaviors, 29(8), 1623–1631. https://doi.org/10.1016/j.addbeh.2004.02.032

97.

Rosario

Schrimshaw

E. W.

Hunter

(2011). Cigarette smoking as a coping strategy: Negative implications for subsequent psychological distress among lesbian, gay, and bisexual youths. Journal of Pediatric Psychology, 36(7), 731–742. https://doi.org/10.1093/jpepsy/jsp141

98.

Rosseel

(2012). Lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2). https://doi.org/10.18637/jss.v048.i02

99.

Rubin

D. B.

(2004). Multiple imputation for nonresponse in surveys. John Wiley & Sons.

100.

Sapolsky

R. M.

(2003). Stress and plasticity in the limbic system. Neurochemical Research, 28, 1735–1742. https://doi.org/10.1023/A:1026021307833

101.

Schuler

M. S.

Collins

R. L.

(2020). Sexual minority substance use disparities: Bisexual women at elevated risk relative to other sexual minority groups. Drug and Alcohol Dependence, 206, Article 107755. https://doi.org/10.1016/j.drugalcdep.2019.107755

102.

Schumacker

R. E.

Beyerlein

S. T.

(2000). Confirmatory factor analysis with different correlation types and estimation methods. Structural Equation Modeling, 7(4), 629–636. https://doi.org/10.1207/S15328007SEM0704_6

103.

Sheridan

M. A.

McLaughlin

K. A.

(2014). Dimensions of early experience and neural development: Deprivation and threat. Trends in Cognitive Sciences, 18(11), P580–P585. https://doi.org/10.1016/j.tics.2014.09.001

104.

Singer

J. D.

Willett

J. B.

(2009). Applied longitudinal data analysis: Modeling change and event occurrence. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195152968.001.0001

105.

Szymanski

D. M.

Henrichs-Beck

(2014). Exploring sexual minority women’s experiences of external and internalized heterosexism and sexism and their links to coping and distress. Sex Roles, 70, 28–42. https://doi.org/10.1007/s11199-013-0329-5

106.

Talley

A. E.

Sher

K. J.

Littlefield

A. K.

(2010). Sexual orientation and substance use trajectories in emerging adulthood. Addiction, 105(7), 1235–1245. https://doi.org/10.1111/j.1360-0443.2010.02953.x

107.

Taylor

A. B.

MacKinnon

D. P.

Tein

J. Y.

(2008). Tests of the three-path mediated effect. Organizational Research Methods, 11(2), 241–269. https://doi.org/10.1177/1094428107300344

108.

Tofighi

MacKinnon

D. P.

(2011). RMediation: An R package for mediation analysis confidence intervals. Behavior Research Methods, 43, 692–700. https://doi.org/10.3758/s13428-011-0076-x

109.

Tsai

Yard

Kohlenberg

R. J.

(2014). Functional analytic psychotherapy: A behavioral relational approach to treatment. Psychotherapy, 51(3), 364–371. https://doi.org/10.1037/a0036506

110.

Vernberg

E. M.

Jacobs

A. K.

Hershberger

S. L.

(1999). Peer victimization and attitudes about violence during early adolescence. Journal of Clinical Child and Adolescent Psychology, 28(3), 386–395. https://doi.org/10.1207/S15374424jccp280311

111.

Vrangalova

Savin-Williams

R. C.

(2014). Psychological and physical health of mostly heterosexuals: A systematic review. Journal of Sex Research, 51(4), 410–445. https://doi.org/10.1080/00224499.2014.883589

112.

Haardörfer

Windle

Berg

C. J.

(2019). Mental health and substance use among women and men at the intersections of identities and experiences of discrimination: Insights from the intersectionality framework. BMC Public Health, 19, Article 108. https://doi.org/10.1186/s12889-019-6430-0

113.

Ward

Lyubomirsky

Sousa

Nolen-Hoeksema

(2003). Can’t quite commit: Rumination and uncertainty. Personality and Social Psychology Bulletin, 29(1), 96–107. https://doi.org/10.1177/0146167202238375

114.

Williams

D. R.

Yan Yu Jackson

J. S.

Anderson

N. B.

(1997). Racial differences in physical and mental health. Journal of Health Psychology, 2(3), 335–351. https://doi.org/10.1177/135910539700200305

115.

C.-Y.

(2002) Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes [Unpublished doctoral dissertation], University of California, Los Angeles.

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Substance Use and Sexual-Minority Status: Examining the Mediating Roles of Stress and Emotion Dysregulation in Young Adult Women

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