Literature DB >> 7804019

The long- and short-term effects of marriage on drinking.

T C Harford1, E Z Hanna, V B Faden.   

Abstract

Descriptive and multiple regression analyses of data from the National Longitudinal Survey of Youth (NLSY), a longitudinal survey conducted annually since 1979, offer support for the many studies that demonstrate a relationship between marital status and alcohol consumption. Race, gender, history of heavy drinking, and alcoholic relatives were additional key variables utilized in the analysis. Data from this ongoing survey indicate that long-term marriage is associated with decreased drinking, except among women with a history of heavy drinking. Separation and divorce are not associated with long-term effects on current drinking. Divorce is associated with decreased drinking, at least in the short term, for men and women with a family history of alcoholism.

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Year:  1994        PMID: 7804019     DOI: 10.1016/s0899-3289(94)90229-1

Source DB:  PubMed          Journal:  J Subst Abuse        ISSN: 0899-3289


  7 in total

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2.  Religion, Alcohol Use and Risk Drinking Among Canadian Adults Living in Ontario.

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3.  Longitudinal effects of health-harming and health-protective behaviors within adolescent romantic dyads.

Authors:  Matthew C Aalsma; Melissa Y Carpentier; Faouzi Azzouz; J Dennis Fortenberry
Journal:  Soc Sci Med       Date:  2012-02-24       Impact factor: 4.634

4.  Maternal Age and Trajectories of Risky Alcohol Use: A Prospective Study.

Authors:  Natacha M De Genna; Lidush Goldschmidt; Michael Marshal; Nancy L Day; Marie D Cornelius
Journal:  Alcohol Clin Exp Res       Date:  2017-08-23       Impact factor: 3.455

5.  Adolescent romantic couples influence on substance use in young adulthood.

Authors:  Lauren C Gudonis-Miller; Lisa Lewis; Yan Tong; Wanzhu Tu; Matthew C Aalsma
Journal:  J Adolesc       Date:  2011-09-09

6.  Alcoholic marriage: later start, sooner end.

Authors:  Mary Waldron; Andrew C Heath; Michael T Lynskey; Kathleen K Bucholz; Pamela A F Madden; Nicholas G Martin
Journal:  Alcohol Clin Exp Res       Date:  2011-01-18       Impact factor: 3.455

7.  Predicting alcohol use disorder remission: a longitudinal multimodal multi-featured machine learning approach.

Authors:  Sivan Kinreich; Vivia V McCutcheon; Fazil Aliev; Jacquelyn L Meyers; Chella Kamarajan; Ashwini K Pandey; David B Chorlian; Jian Zhang; Weipeng Kuang; Gayathri Pandey; Stacey Subbie-Saenz de Viteri; Meredith W Francis; Grace Chan; Jessica L Bourdon; Danielle M Dick; Andrey P Anokhin; Lance Bauer; Victor Hesselbrock; Marc A Schuckit; John I Nurnberger; Tatiana M Foroud; Jessica E Salvatore; Kathleen K Bucholz; Bernice Porjesz
Journal:  Transl Psychiatry       Date:  2021-03-15       Impact factor: 6.222

  7 in total

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