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Japanese Study on Stratification, Health, Income, and Neighborhood: Study Protocol and Profiles of Participants
BACKGROUND: The Japanese Study on Stratification, Health, Income, and Neighborhood (J-SHINE) aims to clarify the complex associations between social factors and health from an interdisciplinary perspective and to provide a database for use in various health policy evaluations. METHODS: J-SHINE is an...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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Japan Epidemiological Association
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4074639/ https://www.ncbi.nlm.nih.gov/pubmed/24814507 http://dx.doi.org/10.2188/jea.JE20130084 |
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collection | PubMed |
description | BACKGROUND: The Japanese Study on Stratification, Health, Income, and Neighborhood (J-SHINE) aims to clarify the complex associations between social factors and health from an interdisciplinary perspective and to provide a database for use in various health policy evaluations. METHODS: J-SHINE is an ongoing longitudinal panel study of households of adults aged 25–50 years. The wave 1 survey was carried out in 2010 among adults randomly selected from the resident registry of four urban and suburban municipalities in the greater Tokyo metropolitan area, Japan. In 2011, surveys for the participants’ spouse/partner and child were additionally conducted. The wave 2 survey was conducted in 2012 for the wave 1 participants and will be followed by the wave 2 survey for spouse/partner and child in 2013. RESULTS: Wave 1 sample sizes were 4357 for wave 1 participants (valid response rate: 31.3%; cooperation rate: 51.8%), 1873 for spouse/partner (response rate: 61.9%), and 1520 for child (response rate: 67.7%). Wave 2 captured 69.0% of wave 1 participants. Information gathered covered socio-demographics, household economy, self-reported health conditions and healthcare utilization, stress and psychological values, and developmental history. A subpopulation underwent physiological (n = 2468) and biomarker (n = 1205) measurements. CONCLUSIONS: Longitudinal survey data, including repeated measures of social factors evaluated based on theories and techniques of various disciplines, like J-SHINE, should contribute toward opening a web of causality for society and health, which may have important policy implications for recent global health promotion strategies such as the World Health Organization’s Social Determinants of Health approach and the second round of Japan’s Healthy Japan 21. |
format | Online Article Text |
id | pubmed-4074639 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Japan Epidemiological Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-40746392014-07-10 Japanese Study on Stratification, Health, Income, and Neighborhood: Study Protocol and Profiles of Participants J Epidemiol Study Profile BACKGROUND: The Japanese Study on Stratification, Health, Income, and Neighborhood (J-SHINE) aims to clarify the complex associations between social factors and health from an interdisciplinary perspective and to provide a database for use in various health policy evaluations. METHODS: J-SHINE is an ongoing longitudinal panel study of households of adults aged 25–50 years. The wave 1 survey was carried out in 2010 among adults randomly selected from the resident registry of four urban and suburban municipalities in the greater Tokyo metropolitan area, Japan. In 2011, surveys for the participants’ spouse/partner and child were additionally conducted. The wave 2 survey was conducted in 2012 for the wave 1 participants and will be followed by the wave 2 survey for spouse/partner and child in 2013. RESULTS: Wave 1 sample sizes were 4357 for wave 1 participants (valid response rate: 31.3%; cooperation rate: 51.8%), 1873 for spouse/partner (response rate: 61.9%), and 1520 for child (response rate: 67.7%). Wave 2 captured 69.0% of wave 1 participants. Information gathered covered socio-demographics, household economy, self-reported health conditions and healthcare utilization, stress and psychological values, and developmental history. A subpopulation underwent physiological (n = 2468) and biomarker (n = 1205) measurements. CONCLUSIONS: Longitudinal survey data, including repeated measures of social factors evaluated based on theories and techniques of various disciplines, like J-SHINE, should contribute toward opening a web of causality for society and health, which may have important policy implications for recent global health promotion strategies such as the World Health Organization’s Social Determinants of Health approach and the second round of Japan’s Healthy Japan 21. Japan Epidemiological Association 2014-07-05 /pmc/articles/PMC4074639/ /pubmed/24814507 http://dx.doi.org/10.2188/jea.JE20130084 Text en © 2014 Misato Takada et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Study Profile Japanese Study on Stratification, Health, Income, and Neighborhood: Study Protocol and Profiles of Participants |
title | Japanese Study on Stratification, Health, Income, and Neighborhood: Study Protocol and Profiles of Participants |
title_full | Japanese Study on Stratification, Health, Income, and Neighborhood: Study Protocol and Profiles of Participants |
title_fullStr | Japanese Study on Stratification, Health, Income, and Neighborhood: Study Protocol and Profiles of Participants |
title_full_unstemmed | Japanese Study on Stratification, Health, Income, and Neighborhood: Study Protocol and Profiles of Participants |
title_short | Japanese Study on Stratification, Health, Income, and Neighborhood: Study Protocol and Profiles of Participants |
title_sort | japanese study on stratification, health, income, and neighborhood: study protocol and profiles of participants |
topic | Study Profile |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4074639/ https://www.ncbi.nlm.nih.gov/pubmed/24814507 http://dx.doi.org/10.2188/jea.JE20130084 |
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