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1.
J Stud Alcohol Drugs ; 77(6): 936-942, 2016 11.
Article in English | MEDLINE | ID: mdl-27797695

ABSTRACT

OBJECTIVE: This study examined the associations between unemployment and alcohol-related hospitalization or mortality and to what extent these associations may be confounded by alcohol consumption and alcohol problems before unemployment. METHOD: The study was based on the Stockholm Public Health Cohort (SPHC), a population-based stratified random sample with a baseline questionnaire in 2002/2003 and record linkages up to year 2011. The final sample in the study consists of 15,841 people aged 18-60 years. Unemployment was defined as any registration at the public employment services during 2003-2005. The outcome was alcohol-related hospitalization and alcohol-related mortality during 2006-2011. Confounders were age, sex, and education, and we further adjusted for baseline alcohol consumption and alcohol-related hospitalization before the study period. Cox proportional hazard models were fit, and associations were expressed as hazard ratios (HRs). RESULTS: In the fully adjusted model, unemployment was associated with an increased risk of alcohol-related hospitalization or mortality, with a more than threefold hazard (HR = 3.38, 95% CI [1.81, 6.31]) compared with no unemployment during the exposure period. There was a moderate attenuating effect of prior alcohol consumption and alcohol-related hospitalization. CONCLUSIONS: Any unemployment in 2003-2005 was highly related to having experienced an alcohol-related diagnosis during the 6-year follow-up, even after controlling for risky use of alcohol and prior hospitalization.


Subject(s)
Hospitalization/statistics & numerical data , Substance-Related Disorders/epidemiology , Unemployment/statistics & numerical data , Adolescent , Aged , Cohort Studies , Female , Humans , Longitudinal Studies , Male , Middle Aged , Proportional Hazards Models , Public Health , Risk Factors , Surveys and Questionnaires , Sweden/epidemiology , Young Adult
2.
Soc Sci Med ; 68(8): 1388-95, 2009 Apr.
Article in English | MEDLINE | ID: mdl-19243869

ABSTRACT

This study combines data at individual and area level to examine interactions between equality within couples and gender equality in the municipality in which individuals live. The research question is whether the context impacts on the association between gender equality and health. The material consists of data on 37,423 men and 37,616 women in 279 Swedish municipalities, who had their first child in 1978. The couples were classified according to indicators of their level of gender equality in 1980 in the public sphere (occupation and income) and private sphere (child care leave and parental leave) compared to that of their municipality. The health outcome is compensated days from sickness insurance during 1986-1999 with a cut-off at the 85% percentile. Data were analysed using logistic regression with the overall odds as reference. The results concerning gender equality in the private sphere show that among fathers, those who are equal in an equal municipality have lower levels of sick leave than the average while laggards (less equal than their municipality) and modest laggards have higher levels. In the public sphere, pioneers (more equal t han their municipality) fare better than the average while laggards fare worse. For mothers, those who are traditional in their roles in the public sphere are protected from high levels of sick leave, while the reverse is true for those who are equal. Traditional mothers in a traditional municipality have the lowest level of sick leave and pioneers the highest. These results show that there are distinct benefits as well as disadvantages to being a gender pioneer and/or a laggard in comparison to your municipality. The associations are markedly different for men and women.


Subject(s)
Health Status Indicators , Logistic Models , Parents , Sex Factors , Female , Humans , Income/statistics & numerical data , Insurance, Health , Longitudinal Studies , Male , Occupations , Parental Leave/statistics & numerical data , Sick Leave/statistics & numerical data , Socioeconomic Factors , Sweden
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