Documents Berkman, Lisa 4 results

"This study is premised on the notion that public health policy should address not only health itself, but also primary determinants of health. We examined the effect of national policies on educational outcomes, in particular, on adolescent reading literacy (ARL). We compared the effect of traditional policy indicators – national income and educational spending – with income inequality, a measure of redistributive policies. We used Organization for Economic Cooperation and Development (OECD) data that provide a rare opportunity to test policy effects after accounting for competing individual-, school-, and country-level explanations. Our sample consisted of 119?814 students, 5126 schools, and 24 countries. Multilevel/Hierarchical regression findings were striking: GDP had a significant, but negligible effect on ARL scores (?=0.002, SE=0.0008), while educational spending had no significant effect. By contrast, income inequality exhibited a larger inverse association (?=?1.15, SE=0.57). Among the wealthy nations in OECD, additional economic prosperity and educational spending is trumped by distribution of income for its effect on ARL. Our study yielded a striking result about education, a major determinant of health. Not only is income inequality a significant determinant of ARL scores, but direct spending on education and overall national economic prosperity are not."

"STUDY OBJECTIVES:
The objective of this prospective cohort study was to determine whether psychosocial work characteristics and social relations exert independent effects on the incidence of sickness absence in a population of middle aged French employees over six years of follow up.
DESIGN:
This study included 9631 men and 3595 women participating in the French GAZEL cohort. Social relations (social networks, personal social support, and social relations satisfaction) were measured in 1994 by self report. Psychosocial work characteristics (decision latitude, psychological demands, and social support at work) were ascertained in 1995. Sickness absence data were collected independently. The authors studied the incidence of short (>7 days), intermediate (7-21 days), and long (>21 days) spells of absence from 1995 to 31 December 2001. Rate ratios associated with psychosocial exposures, adjusted on sociodemographic characteristics, and health behaviours, were calculated by means of log-linear Poisson regression.
SETTING:
A cohort of 20000 employees of France's national gas and electricity company (the GAZEL study).
MAIN RESULTS:
Among men and women, levels of decision latitude and personal social support below the median predicted 17% to 24% increases in absence rates. Low satisfaction with social relations and low social support at work lead to a 10% to 26% excess in sick leaves among men. No interactive effects were found between the variables under study.
CONCLUSIONS:
The quality of the work environment and of social relations affect sickness absence over an extended period of follow up. This study supports the hypothesis of independent, not interactive effects."

"Background. This article proposes a conceptual framework for addressing social contextual factors in cancer prevention interventions, and describes work that operationalizes this model in interventions for working class, multiethnic populations.
Methods. The Harvard Cancer Prevention Program Project includes three studies: (1) an intervention study in 25 small businesses; (2) an intervention study in 10 health centers; and (3) a computer simulation modeling project that translates risk factor modifications into gains in life expectancy and number of cancers averted. The conceptual framework guiding this work articulates pathways by which social context may influence health behaviors, and is used to frame the interventions and guide evaluation design.
Results. Social contextual factors cut across multiple levels of influence, and include individual factors (e.g., material circumstances, psychosocial factors), interpersonal factors (e.g., social ties, roles/responsibilities, social norms), organizational factors (e.g., work organization, access to health care), and neighborhood/community factors (e.g., safety, access to grocery stores). Social context is shaped by sociodemographic characteristics (e.g., social class, race/ethnicity, gender, age, language) that impact day-to-day realities.
Conclusions. By illuminating the pathways by which social contextual factors influence health behaviors, it will be possible to enhance the effectiveness of interventions aimed at reducing social inequalities in risk behaviors."

"Background: The use of self-rated health (SRH) for measuring health inequalities could present some limits. The impact of the same disease on SRH could be different according to health expectations people have which are associated with social characteristics. The aim of this study was to analyse the link between physical health status and SRH, according to level of education. Method: Data from the National Health and Nutrition Examination Survey for the years 2001–4 were used. Multivariate logistic regression analyses were performed for assessing the relation between health status and SRH according to educational level. Results: The sample consisted of 4661 men and 4593 women. Reporting functional limitation was associated more strongly with poor SRH in higher educated women than in lower educated women (OR, 8.73, 95% CI 5.87 to 12.98 vs OR, 3.97, 95% CI 2.93 to 5.38 respectively), as was reporting respiratory disease (OR, 5.17, 95% CI 3.67 to 7.30 vs OR, 2.60, 95% CI 1.72 to 3.95 respectively), cardiovascular disease (OR, 9.79, 95% CI 6.22 to 15.40 vs OR, 3.34, 95% CI 2.29 to 4.87 respectively) and dental problems (OR, 4.37, 95% CI 3.22 to 5.92 vs OR, 2.58, 95% CI 1.97 to 3.39 respectively). Reporting functional limitation was associated more strongly with poor SRH in higher educated men than in lower educated men (OR, 7.71, 95% CI 5.04 to 11.79 vs OR, 4.87, 95% CI 3.30 to 7.18 respectively), as reporting oral problems (OR, 2.62, 95% CI 1.84 to 3.74 vs OR, 3.63, 95% CI 2.81 to 4.68 respectively). Conclusions: The impact of health problems on SRH is stronger among better educated individuals. This phenomenon could lead to an underestimate of the health inequalities across socioeconomic groups. "