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Journal of Epidemiology & Community Health

Selected Alcohol-Related Articles from Vols. 58 and 59, 2004-2005

New
(Updated March 18, 2005)

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Elissa R Weitzman and Ying-Yeh Chen.  Risk modifying effect of social capital on measures of heavy alcohol consumption, alcohol abuse, harms, and secondhand effects: national survey findings.  Journal of Epidemiology and Community Health 59(4):303-309, April 2005.

Summary:
Associations between social capital and individual risk for alcohol abuse and harms were examined and protective effect mechanisms were identified. Multilevel multivariate analysis was carried out using individual level data from a national panel survey of drinking and a contextual measure of social capital reflecting college mean aggregate reports of student volunteerism. Outcomes included binge drinking, frequent drinking, frequent drunkenness, diagnosable alcohol abuse, intentional drunkenness, acquisition of binge drinking, harms, and effects from drinking by others. Representative samples of students
(total N = 27,687; 18–24 years old) were surveyed at 119 four-year colleges in the United States in 1997 and 1999 using an anonymous mailed questionnaire. Students from colleges with higher levels of social capital reported reduced risks of binge drinking (adjusted odds ratio [adjOR] = 0.38; 95% confidence interval [CI], 0.20-0.69, p = 0.002), frequent drunkenness (adjOR = 0.58; 95% CI, 0.34-0.98, p = 0.04), acquisition of binge drinking in college (adjOR = 0.48; 95% CI, 0.24-0.95, p = 0.03), and alcohol abuse (adjOR = 0.55; 95% CI, 0.34-0.91, p = 0.02) in multilevel multivariate analyses that controlled for individual volunteering, the measure on which social capital was based. Higher levels of social capital protected against multiple drinking-related harms (adjOR = 0.51; 95% CI, 0.29-0.90, p = 0.02) and secondhand drinking effects (adjOR = 0.30; 95% CI, 0.16-0.58, p = 0.0003). There were significant cross level interactions between fraternity/sorority membership and social capital for measures of risky drinking. Harm reduction primarily reflects consumption modification. In conclusion, social capital exerts strong protective effects on alcohol abuse and harm in college including among high risk students.

NIAAA glossary terms: 
social context, social indicators, undergraduate student, AOD abuse, binge AOD use, AOD use frequency, AOD use pattern, AOD intoxication, purpose of AOD use, AOD use for intoxication, exposure to AOD activity, AOD associated consequences, survey, questionnaire, risk analysis, risk factors, relative risk, protective factors, risk-taking behavior, fraternity and sorority, human study


Pekka Jousilahti, Veikko Salomaa, Kari Kuulasmaa, Matti Niemelä, and Erkki Vartiainen.  Total and cause specific mortality among participants and non-participants of population based health surveys: a comprehensive follow up of 54 372 Finnish men and women.  Journal of Epidemiology and Community Health 59(4):310-315, April 2005.

Summary:
Total mortality and cause-specific mortality
were assessed in a prospective study of participants and nonparticipants in large population-based risk factor surveys in Finland.  Baseline surveys were conducted in 1972, 1977, 1982, 1987, and 1992 (N = 54,372 men and women; 25-64 years old at baseline). Study end points were deaths from cardiovascular disease, cancer, violence, smoking, and alcohol. Study cohorts were followed until the end of 2000 through computerized record linkage. All analyses were adjusted for age. The average participation rate was 81.7% among men and 87% among women. At 8-year follow-up, the nonparticipating men had twice and nonparticipating women 2.5-fold higher overall mortality than the participating men and women. Nonparticipants had also significantly higher cause-specific mortality, except cancer and smoking-related mortality among women. Relative differences in mortality were largest in violent and alcohol-related deaths. Nonparticipants had considerably higher overall mortality than smoking participants, and their mortality was three times higher than that of nonsmoking participants. The observed differences in mortality show that health behavior and health status differ substantially between nonparticipants and participants in health surveys. The results of population-based health surveys may be biased considerably by low participation rates.

NIAAA glossary terms:  mortality, AODR mortality, cardiovascular disorder, cancer, violence, smoking, AODR disorder, prospective study, follow-up study, risk factors, survey, comparative study, gender differences, human study



Adrian G Barnett and Annette J Dobson.  Excess in cardiovascular events on Mondays: A meta-analysis and prospective study.  Journal of Epidemiology and Community Health 59(2):109-114, February 2005.

Summary:
A literature review, meta-analysis, and prospective study were carried out to examine evidence for three competing explanations of the reported excess of coronary events on Mondays: stress, alcohol consumption, or registration errors. Twenty-eight studies, covering 16 countries and over 1.6 million coronary events, were analyzed. The excess of coronary events on Mondays was small overall, with only one more event on Monday than on other days in a population experiencing 100 coronary events a week. The excess was larger in men and in studies that included sudden cardiac death or cardiac arrests. A prospective study found that an increase in events on Mondays was associated with greater alcohol consumption, lower rainfall, and the month of January. The excess in coronary events on Mondays is persistent and its size varies widely between populations. Although there is some evidence that the phenomenon is associated with alcohol consumption, a definitive explanation is likely to remain elusive because the effect is small and high quality data are lacking.

NIAAA glossary terms:  literature review, meta-analysis, prospective study, alcoholic beverage, AOD consumption, coronary artery disorder, heart arrest, death, incidence, risk analysis, risk factors, day of the week, seasonal time of year, climate and weather, stress, gender differences, human study


Patricia Mona Eng, Ichiro Kawachi, Garrett Fitzmaurice, and Eric B Rimm.  Effects of marital transitions on changes in dietary and other health behaviours in US male health professionals.  Journal of Epidemiology & Community Health  59(1):56-62, January 2005.

Summary:
The effect of change in marital status on men's health behaviors was examined in a longitudinal study of repeated measures of marital status and health behaviors collected at four year intervals (1986–1990; 1990–1994). The participants were American male health professionals (N = 38,865) aged 40–75 years in 1986. Relative to men who stayed married over 4 years, men whose wives died increased their alcohol consumption. Men who became single through divorce or death experienced decreases in body mass index (BMI). Compared with men who remained unmarried, men who remarried showed increased BMI and decreased physical activity. Becoming single through divorce or death was associated with decreased vegetable intake while remarriage was linked to greater vegetable consumption. It was concluded that termination of marriage may adversely affect health and dietary behaviors among men.

NIAAA Glossary Terms:  marital status, male, divorce, death of family member or close friend, spouse or significant other, health related behavior, alcoholic beverage, AOD consumption, diet, nutrition, body mass index, physical activity, longitudinal study, human study


Lyndal Bond, George Patton, Sara Glover, John B Carlin, Helen Butler, Lyndal Thomas, and Glenn Bowes.  The Gatehouse Project: Can a multilevel school intervention affect emotional wellbeing and health risk behaviours?  Journal of Epidemiology & Community Health 58:997-1003, December 2004.

Summary:
The effect of a multilevel school based intervention on adolescents’ emotional well being and health risk behaviors was assessed in a school-based cluster randomized controlled trial. Year 8 school students were surveyed twice in the first year of intervention (baseline and first follow up), then once annually over the next 2 years (second and third follow ups). There were 2,678 participants in the baseline survey. Attrition across the data collection waves was less than 3%, 8%, and 10% respectively, with no differential response rate between intervention and control groups at the three follow up surveys (98% and 96%, 92% and 92%, and 90% and 89% respectively). A consistent 3% to 5% risk difference was found between intervention and control students for any drinking, any and regular smoking, and friends’ alcohol and tobacco use across the three follow-ups. The largest effect was a reduction in the reporting of regular smoking by students in the intervention group (odds ratios of 0.57, 0.62, and 0.72 at waves 2, 3, and 4 respectively). The intervention had no significant effect on depressive symptoms and social and school relationships. The authors concluded that a focus on general cognitive skills and positive changes to the school's social environment can have a substantial impact on important health risk behaviors.

NIAAA Glossary Terms:  adolescent, health related behavior,
emotional adjustment, underage AOD use, underage drinking, smoking, level of AOD use among peers, school-based intervention, school-based prevention, controlled study, survey, follow-up study, prevention research, prevention program, prevention model, prevention outcome, emotional depression, cognitive ability, prevention through changing the social environment, human study


Elizabeth Breeze, Dee A Jones, Paul Wilkinson, Amina M Latif, Christopher J Bulpitt, and Astrid E Fletcher.  Association of quality of life in old age in Britain with socioeconomic position: baseline data from a randomised controlled trial.  Journal of Epidemiology & Community Health 58(8):667-673, August 2004.

Summary:
The objective was to identify socioeconomic differentials in quality of life among older people and their explanatory factors, using baseline data from a cluster randomized controlled trial of the assessment and management of older people in primary care in 23 general practices (GPs) in Britain. Outcome measures were being in the worst quintile of scores for, respectively, the Philadelphia geriatric morale scale and four dimensions of functioning from the sickness impact profile (home management, mobility, self-care, and social interaction). The participants were 75 years and older on GP registers at the time of recruitment, excluding those in nursing homes or terminally ill. Of 9,547 people eligible, 90% provided full information on quality of life and 6,298 also did a brief assessment. The excess risk of poor quality of life for independent people renting rather than owning their home ranged from 27% for morale (95% confidence interval [CI], 9%-48%) to 62% for self care (95% CI, 35%-94%). Self reported health problems plus smoking and alcohol consumption accounted for half or more of the excess, depending on the outcome. Having a low socioeconomic position in middle age as well as in old age exacerbated the risks of poor outcomes. Among people living with someone other than spouse the excess risk from renting ranged from 24% (95%CI, -10%-70%) for poor home management to 93% (95%CI, 30%-180%) for poor morale. It was concluded that older people retain the legacy of past socioeconomic position and are subject to current socioeconomic influences.

NIAAA Glossary Terms:  AOD consumption, socioeconomic differences, socioeconomic status, quality of life, physical health, elderly, primary health care, general practitioner, United Kingdom, self management skills, locomotion, social connectedness, human study, epidemiology


Mall Leinsalu, Denny Vågerö, and Anton E Kunst.  Increasing ethnic differences in mortality in Estonia after the collapse of the Soviet Union.  Journal of Epidemiology & Community Health 58(7):583-589, July 2004.

Summary:
The authors examined change in ethnic differences in mortality in Estonia in 1989–2000 (i.e., before and after the collapse of the Soviet Union). Two unlinked cross-sectional census-based analyses were compared. Total and cause-specific mortalities were analyzed for ethnic Estonians and Russians. The absolute differences in mortality were evaluated through life expectancy at birth and age standardized mortality rates. Relative differences were assessed by mortality ratios with 95% confidence intervals, calculated using Poisson regression. Individual cause-specific death data for 1987-1990 (69,549 deaths) and for 1999-2000 (33,809 deaths) came from the national mortality database. Population denominators came from the population censuses of 1989 and 2000. In the period 1989-2000, ethnic differences in life expectancy increased from 0.4 years to 6.1 years among men and from 0.6 years to 3.5 years among women. In 2000, Russians had a higher mortality than Estonians in all age groups and for nearly all selected causes of death. The largest differences were found for some alcohol-related causes of death especially in 2000. It was concluded that political and economic upheaval, increasing poverty, and alcohol consumption can be considered the main underlying causes of the widening ethnic mortality gap.

NIAAA Glossary Terms:  mortality, AODR mortality, AOD consumption, alcoholic beverage, public health, Estonia, Russia, U.S.S.R., cross-sectional study, regression analysis, life expectancy, database, comparative study, ethnic differences, gender differences, quality of life, poverty, political process, social problems, human study, epidemiology


J Vahtera, J Pentti, and M Kivimäki.  Sickness absence as a predictor of mortality among male and female employees.  Journal of Epidemiology & Community Health 58(4):321-326, April 2004.

Summary:
A prospective study was undertaken to determine the extent to which sickness absence is predictive of mortality. Data on medically certified long-term absences (>3 days), self-certified short term absences (1–3 days), and sick days were derived from employers’ records and data on mortality from the national mortality register. The participants were a cohort of 12,821 male and 28,915 female municipal employees in 10 towns in Finland with a job contract of 5 consecutive years. The mean follow-up was 4.5 years. After adjustment for age, occupational status, and type of employment contract, the overall mortality for workers with more than one long-term absence a year was 4.3 times greater in men (95% confidence interval [CI], 2.6-7.0) and 3.3 times greater in women (95% CI, 2.1-5.3), in comparison with workers with no absence. The corresponding hazard ratios for more than 15 annual sick days were 4.7 for men (95% CI, 2.3-9.6) and 3.7 for women (95% CI, 1.5-9.1). Both measures of sickness absence were also predictive of deaths from cardiovascular disease, cancer, alcohol-related causes, and suicide. Associations between short-term sickness absences and mortality were weaker and changed to non-significant after adjustment for long-term sickness absence. These results suggest that measures of sickness absence, such as spells of long-term absence and sick days, are strong predictors of all-cause mortality and mortality due to cardiovascular disease, cancer, alcohol-related causes, and suicide.

NIAAA Glossary Terms:  mortality, AODR mortality, work-related AOD issue, employee absenteeism, predictive factor, prospective study, cohort study, gender differences, risk analysis, risk factors, cardiovascular disorder, cancer, suicide, human study, epidemiology


M Bobak, R Room, H Pikhart, R Kubinova, S Malyutina, A Pajak, S Kurilovitch, R Topor, Y Nikitin, and M Marmot.  Contribution of drinking patterns to differences in rates of alcohol related problems between three urban populations.  Journal of Epidemiology & Community Health 58(3):238-242, March 2004.

Summary:
A cross-sectional survey was carried out in three cities - one Russian, one Polish, and one Czech - to examine whether drinking patterns, in addition to overall alcohol consumption, contribute to differences in rates of between populations. The participants were 1,118 men and 1,125 women randomly selected from population registers. The main outcome measures were alcohol-related problems, problem drinking, negative social consequences of drinking, alcohol consumption, and drinking pattern. Rates of problem drinking and of negative consequences of drinking were much higher in Russian men (35% and 18% respectively) than in Czechs (19% and 10%) or Poles (14% and 8%). This contrasts with substantially lower mean annual intake of alcohol reported by Russian men (4.6 liters) than by Czech men (8.5 liters), and with low mean drinking frequency in Russia (67 drinking sessions per year, compared with 179 sessions among Czech men). However, Russians consumed the highest dose of alcohol per drinking session (mean 71 g compared to 46 g in Czechs and 45 g in Poles), and had the highest prevalence of binge drinking. Women had low levels of drinking and alcohol-related problems in all three countries. In ecological and individual level analyses, indicators of binge drinking explained a substantial part of differences in rates of problem drinking and negative consequences of drinking between the three countries. These empirical data confirm high levels of alcohol-related problems in Russia despite low volume of drinking. The binge drinking pattern partly explains this paradoxical finding. Overall alcohol consumption does not suffice as an estimate of alcohol-related problems at the population level.

NIAAA Glossary Terms:  Russia, Poland, Czech Republic, AOD use pattern, AOD use frequency, AOD intake per occasion, heavy AOD use, binge AOD use, AOD consumption, problematic AOD use, AODR interpersonal and societal problems, international AODR problems, prevalence, international differences, comparative study, ecological study, ethnic differences, gender differences, survey, human study


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