The purpose of this paper is, first, to describe the organization, sampling procedures, availability of samples/database, ethical considerations, and quality control program of the Northern Sweden Health and Disease Study Cohort. Secondly, some examples are given of studies on cardiovascular disease and diabetes with a focus on the biomarker programme. The cohort has been positioned as a national and international resource for scientific research.
The present study is the second epidemiologic study to show a significant inverse relation between naturally occurring dietary plant sterols and serum cholesterol. To the extent that the associations found truly mirror plant sterol intake and not merely a diet high in vegetable fat and fiber, it highlights the importance of considering the plant sterol content of foods both in primary prevention of cardiovascular disease and in the dietary advice incorporated into nutritional treatment of patients with hyperlipidemia.
BackgroundChronic noncommunicable diseases (NCDs) have emerged as a huge global health problem in low- and middle-income countries. The magnitude of the rise of NCDs is particularly visible in Southeast Asia where limited resources have been used to address this rising epidemic, as in the case of Indonesia. Robust evidence to measure growing NCD-related burdens at national and local levels and to aid national discussion on social determinants of health and intra-country inequalities is needed. The aim of this review is (i) to illustrate the burden of risk factors, morbidity, disability, and mortality related to NCDs; (ii) to identify existing policy and community interventions, including disease prevention and management strategies; and (iii) to investigate how and why an inequitable distribution of this burden can be explained in terms of the social determinants of health.MethodsOur review followed the PRISMA guidelines for identifying, screening, and checking the eligibility and quality of relevant literature. We systematically searched electronic databases and gray literature for English- and Indonesian-language studies published between Jan 1, 2000 and October 1, 2015. We synthesized included studies in the form of a narrative synthesis and where possible meta-analyzed their data.ResultsOn the basis of deductive qualitative content analysis, 130 included citations were grouped into seven topic areas: risk factors; morbidity; disability; mortality; disease management; interventions and prevention; and social determinants of health. A quantitative synthesis meta-analyzed a subset of studies related to the risk factors smoking, obesity, and hypertension.ConclusionsOur findings echo the urgent need to expand routine risk factor surveillance and outcome monitoring and to integrate these into one national health information system. There is a stringent necessity to reorient and enhance health system responses to offer effective, realistic, and affordable ways to prevent and control NCDs through cost-effective interventions and a more structured approach to the delivery of high-quality primary care and equitable prevention and treatment strategies. Research on social determinants of health and policy-relevant research need to be expanded and strengthened to the extent that a reduction of the total NCD burden and inequalities therein should be treated as related and mutually reinforcing priorities.
Abstract:Objectives: Social capital has been recognized as one important social determinant for health, but we still have limited knowledge about how it can be used to explain inequality in health. This study investigated the links between individual social capital and self-rated health by gender and educational level, and analyzed if access to social capital might explain the observed disparities in self-rated health between men and women and different educational groups. Study design: A cross-sectional survey in Northern Sweden. Methods: A social capital questionnaire was constructed and mailed to 15 000 randomly selected individuals. Different forms of structural and cognitive social capital were measured. Self-rated health was used as the outcome measure. Crude and adjusted OR and 95% CI were calculated for good selfrated health and access to each form of social capital. Multivariate regression was used to analyze how sociodemographic factors and access to social capital might influence differences in self-rated health by gender and educational level. Results: Access to almost each form of social capital significantly increased the odds for good self-rated health for all groups. A higher education significantly increased the odds for access to each form of social capital, and being a man significantly increased the odds for having access to some forms of social capital. The health advantage for higher educated and men partly decreased when controlling for access to social capital. Conclusions: Access to social capital can partly explain the observed health inequality between men and women and different educational groups. Strengthening social capital might be one way of tackling health inequality. It is important to consider the structural conditions that create unequal opportunities for different groups to access social capital.
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