{"title":"当代澳大利亚人口健康调查内容比较","authors":"Branislava Godic , Selin Akaraci , Rajith Vidanaarachchi , Kerry Nice , Sachith Seneviratne , Suzanne Mavoa , Ruth Hunter , Leandro Garcia , Mark Stevenson , Jasper Wijnands , Jason Thompson","doi":"10.1016/j.anzjph.2024.100152","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>Associations between place and population health are of interest to researchers and policymakers. The objective of this paper is to explore, summarise and compare content across contemporary Australian geo-referenced population health survey data sets.</p></div><div><h3>Methods</h3><p>A search for recent (2015 or later) population health surveys from within Australia containing geographic information from participants was conducted. Survey response frames were analysed and categorised based on demographic, risk factor and disease-related characteristics. Analysis using interactive Sankey diagrams shows the extent of content overlap and differences between population health surveys in Australia.</p></div><div><h3>Results</h3><p>Thirteen Australian geo-referenced population health survey data sets were identified. Information captured across surveys was inconsistent as was the spatial granularity of respondent information. Health and demographic features most frequently captured were symptoms, signs and clinical findings from the International Statistical Classification of Diseases and Related Health Problems version 11, employment, housing, income, self-rated health and risk factors, including alcohol consumption, diet, medical treatments, physical activity and weight-related questions. Sankey diagrams were deployed online for use by public health researchers.</p></div><div><h3>Conclusions</h3><p>Identifying the relationship between place and health in Australia is made more difficult by inconsistencies in information collected across surveys deployed in different regions in Australia.</p></div><div><h3>Implications for Public Health</h3><p>Public health research investigating place and health involves a vast and inconsistent patchwork of information within and across states, which may impact broad-scale research questions. The tools developed here assist public health researchers to identify surveys suitable for their research queries related to place and health.</p></div>","PeriodicalId":8620,"journal":{"name":"Australian and New Zealand Journal of Public Health","volume":"48 3","pages":"Article 100152"},"PeriodicalIF":2.6000,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S132602002400027X/pdfft?md5=8ee743f18915ad3a9bc138b64b7090d0&pid=1-s2.0-S132602002400027X-main.pdf","citationCount":"0","resultStr":"{\"title\":\"A comparison of content from across contemporary Australian population health surveys\",\"authors\":\"Branislava Godic , Selin Akaraci , Rajith Vidanaarachchi , Kerry Nice , Sachith Seneviratne , Suzanne Mavoa , Ruth Hunter , Leandro Garcia , Mark Stevenson , Jasper Wijnands , Jason Thompson\",\"doi\":\"10.1016/j.anzjph.2024.100152\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><p>Associations between place and population health are of interest to researchers and policymakers. The objective of this paper is to explore, summarise and compare content across contemporary Australian geo-referenced population health survey data sets.</p></div><div><h3>Methods</h3><p>A search for recent (2015 or later) population health surveys from within Australia containing geographic information from participants was conducted. Survey response frames were analysed and categorised based on demographic, risk factor and disease-related characteristics. Analysis using interactive Sankey diagrams shows the extent of content overlap and differences between population health surveys in Australia.</p></div><div><h3>Results</h3><p>Thirteen Australian geo-referenced population health survey data sets were identified. Information captured across surveys was inconsistent as was the spatial granularity of respondent information. Health and demographic features most frequently captured were symptoms, signs and clinical findings from the International Statistical Classification of Diseases and Related Health Problems version 11, employment, housing, income, self-rated health and risk factors, including alcohol consumption, diet, medical treatments, physical activity and weight-related questions. Sankey diagrams were deployed online for use by public health researchers.</p></div><div><h3>Conclusions</h3><p>Identifying the relationship between place and health in Australia is made more difficult by inconsistencies in information collected across surveys deployed in different regions in Australia.</p></div><div><h3>Implications for Public Health</h3><p>Public health research investigating place and health involves a vast and inconsistent patchwork of information within and across states, which may impact broad-scale research questions. The tools developed here assist public health researchers to identify surveys suitable for their research queries related to place and health.</p></div>\",\"PeriodicalId\":8620,\"journal\":{\"name\":\"Australian and New Zealand Journal of Public Health\",\"volume\":\"48 3\",\"pages\":\"Article 100152\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S132602002400027X/pdfft?md5=8ee743f18915ad3a9bc138b64b7090d0&pid=1-s2.0-S132602002400027X-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Australian and New Zealand Journal of Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S132602002400027X\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australian and New Zealand Journal of Public Health","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S132602002400027X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
A comparison of content from across contemporary Australian population health surveys
Objective
Associations between place and population health are of interest to researchers and policymakers. The objective of this paper is to explore, summarise and compare content across contemporary Australian geo-referenced population health survey data sets.
Methods
A search for recent (2015 or later) population health surveys from within Australia containing geographic information from participants was conducted. Survey response frames were analysed and categorised based on demographic, risk factor and disease-related characteristics. Analysis using interactive Sankey diagrams shows the extent of content overlap and differences between population health surveys in Australia.
Results
Thirteen Australian geo-referenced population health survey data sets were identified. Information captured across surveys was inconsistent as was the spatial granularity of respondent information. Health and demographic features most frequently captured were symptoms, signs and clinical findings from the International Statistical Classification of Diseases and Related Health Problems version 11, employment, housing, income, self-rated health and risk factors, including alcohol consumption, diet, medical treatments, physical activity and weight-related questions. Sankey diagrams were deployed online for use by public health researchers.
Conclusions
Identifying the relationship between place and health in Australia is made more difficult by inconsistencies in information collected across surveys deployed in different regions in Australia.
Implications for Public Health
Public health research investigating place and health involves a vast and inconsistent patchwork of information within and across states, which may impact broad-scale research questions. The tools developed here assist public health researchers to identify surveys suitable for their research queries related to place and health.
期刊介绍:
The Australian and New Zealand Journal of Public Health (ANZJPH) is concerned with public health issues. The research reported includes formal epidemiological inquiries into the correlates and causes of diseases and health-related behaviour, analyses of public policy affecting health and disease, and detailed studies of the cultures and social structures within which health and illness exist. The Journal is multidisciplinary and aims to publish methodologically sound research from any of the academic disciplines that constitute public health.