Mental health and well-being within rural communities: The Australian Rural Mental Health Study
Objective: This paper outlines the methods and baseline data from a multisite cohort study of the determinants and outcomes of mental health and well‐being within rural and remote communities. Methods: A stratified random sample of adults was drawn in non‐metropolitan New South Wales using the Aus...
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| Veröffentlicht in: | The Australian journal of rural health 2010-02, Vol.18 (1), p.16-24 |
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| container_title | The Australian journal of rural health |
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| creator | Kelly, Brian J. Stain, Helen J. Coleman, Clare Perkins, David Fragar, Lyn Fuller, Jeffrey Lewin, Terry J. Lyle, David Carr, Vaughan J. Wilson, Jacqueline M. Beard, John R. |
| description | Objective: This paper outlines the methods and baseline data from a multisite cohort study of the determinants and outcomes of mental health and well‐being within rural and remote communities.
Methods: A stratified random sample of adults was drawn in non‐metropolitan New South Wales using the Australian Electoral Roll, with the aim of recruiting all adult members of each household. Surveys assessed psychological symptoms, physical health and mental disorders, along with individual‐, family/household‐ and community‐level characteristics. A stratified subsample completed a telephone‐administered World Mental Health‐Composite International Diagnostic Interview (World Mental Health‐3.0). Proxy measures of child health and well‐being were obtained. Follow up of this sample will be undertaken at one, three and five years.
Results: A total of 2639 individuals were recruited (1879 households), with 28% from remote/very remote regions. A significant relationship was found between recent distress (Kessler‐10 scores), age and remoteness, with a linear reduction of Kessler‐10 scores with age and the lowest mean scores in remote regions.
Conclusions: Existing rurality categories cannot address the diverse socio‐cultural, economic and environmental characteristics of non‐metropolitan regions. While it has limitations, the dataset will enable a fine‐grained examination of geographic, household and community factors and provide a unique longitudinal dataset over a five‐year period. |
| doi_str_mv | 10.1111/j.1440-1584.2009.01118.x |
| format | Article |
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Methods: A stratified random sample of adults was drawn in non‐metropolitan New South Wales using the Australian Electoral Roll, with the aim of recruiting all adult members of each household. Surveys assessed psychological symptoms, physical health and mental disorders, along with individual‐, family/household‐ and community‐level characteristics. A stratified subsample completed a telephone‐administered World Mental Health‐Composite International Diagnostic Interview (World Mental Health‐3.0). Proxy measures of child health and well‐being were obtained. Follow up of this sample will be undertaken at one, three and five years.
Results: A total of 2639 individuals were recruited (1879 households), with 28% from remote/very remote regions. A significant relationship was found between recent distress (Kessler‐10 scores), age and remoteness, with a linear reduction of Kessler‐10 scores with age and the lowest mean scores in remote regions.
Conclusions: Existing rurality categories cannot address the diverse socio‐cultural, economic and environmental characteristics of non‐metropolitan regions. While it has limitations, the dataset will enable a fine‐grained examination of geographic, household and community factors and provide a unique longitudinal dataset over a five‐year period.</description><identifier>ISSN: 1038-5282</identifier><identifier>EISSN: 1440-1584</identifier><identifier>DOI: 10.1111/j.1440-1584.2009.01118.x</identifier><identifier>PMID: 20136810</identifier><identifier>CODEN: AJRHF6</identifier><language>eng</language><publisher>Melbourne, Australia: Blackwell Publishing Asia</publisher><subject>Adolescent ; Adult ; Adults ; Age Factors ; Aged ; Child health ; Cohort analysis ; Cohort Studies ; Communities ; Composite International Diagnostic Interview ; Data Collection ; determinant ; Diagnostic systems ; Environmental aspects ; epidemiology ; Female ; Health status ; Health surveys ; Households ; Humans ; Logistic Models ; Male ; mental disorder ; Mental disorders ; Mental Disorders - epidemiology ; Mental health ; Mental Health - statistics & numerical data ; Mental Health Services - statistics & numerical data ; Metropolitan areas ; Middle Aged ; New South Wales ; New South Wales - epidemiology ; New South Wales, Australia ; Nursing ; Physical symptoms ; Psychological distress ; Psychological problems ; Recruitment ; Remote areas ; Remote regions ; rural ; Rural areas ; Rural communities ; Rural Population - statistics & numerical data ; Sampling methods ; Sex Factors ; Well being ; Wellbeing ; Young Adult</subject><ispartof>The Australian journal of rural health, 2010-02, Vol.18 (1), p.16-24</ispartof><rights>2010 The Authors. Journal compilation © 2010 National Rural Health Alliance Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5568-933932023605e4c37d370983e31375e368bdc8a034fb11d5d822b49360dca0c03</citedby><cites>FETCH-LOGICAL-c5568-933932023605e4c37d370983e31375e368bdc8a034fb11d5d822b49360dca0c03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1440-1584.2009.01118.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1440-1584.2009.01118.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27865,27924,27925,30999,31000,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20136810$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kelly, Brian J.</creatorcontrib><creatorcontrib>Stain, Helen J.</creatorcontrib><creatorcontrib>Coleman, Clare</creatorcontrib><creatorcontrib>Perkins, David</creatorcontrib><creatorcontrib>Fragar, Lyn</creatorcontrib><creatorcontrib>Fuller, Jeffrey</creatorcontrib><creatorcontrib>Lewin, Terry J.</creatorcontrib><creatorcontrib>Lyle, David</creatorcontrib><creatorcontrib>Carr, Vaughan J.</creatorcontrib><creatorcontrib>Wilson, Jacqueline M.</creatorcontrib><creatorcontrib>Beard, John R.</creatorcontrib><title>Mental health and well-being within rural communities: The Australian Rural Mental Health Study</title><title>The Australian journal of rural health</title><addtitle>Aust J Rural Health</addtitle><description>Objective: This paper outlines the methods and baseline data from a multisite cohort study of the determinants and outcomes of mental health and well‐being within rural and remote communities.
Methods: A stratified random sample of adults was drawn in non‐metropolitan New South Wales using the Australian Electoral Roll, with the aim of recruiting all adult members of each household. Surveys assessed psychological symptoms, physical health and mental disorders, along with individual‐, family/household‐ and community‐level characteristics. A stratified subsample completed a telephone‐administered World Mental Health‐Composite International Diagnostic Interview (World Mental Health‐3.0). Proxy measures of child health and well‐being were obtained. Follow up of this sample will be undertaken at one, three and five years.
Results: A total of 2639 individuals were recruited (1879 households), with 28% from remote/very remote regions. A significant relationship was found between recent distress (Kessler‐10 scores), age and remoteness, with a linear reduction of Kessler‐10 scores with age and the lowest mean scores in remote regions.
Conclusions: Existing rurality categories cannot address the diverse socio‐cultural, economic and environmental characteristics of non‐metropolitan regions. While it has limitations, the dataset will enable a fine‐grained examination of geographic, household and community factors and provide a unique longitudinal dataset over a five‐year period.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Adults</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Child health</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Communities</subject><subject>Composite International Diagnostic Interview</subject><subject>Data Collection</subject><subject>determinant</subject><subject>Diagnostic systems</subject><subject>Environmental aspects</subject><subject>epidemiology</subject><subject>Female</subject><subject>Health status</subject><subject>Health surveys</subject><subject>Households</subject><subject>Humans</subject><subject>Logistic Models</subject><subject>Male</subject><subject>mental disorder</subject><subject>Mental disorders</subject><subject>Mental Disorders - epidemiology</subject><subject>Mental health</subject><subject>Mental Health - statistics & numerical data</subject><subject>Mental Health Services - statistics & numerical data</subject><subject>Metropolitan areas</subject><subject>Middle Aged</subject><subject>New South Wales</subject><subject>New South Wales - epidemiology</subject><subject>New South Wales, Australia</subject><subject>Nursing</subject><subject>Physical symptoms</subject><subject>Psychological distress</subject><subject>Psychological problems</subject><subject>Recruitment</subject><subject>Remote areas</subject><subject>Remote regions</subject><subject>rural</subject><subject>Rural areas</subject><subject>Rural communities</subject><subject>Rural Population - statistics & numerical data</subject><subject>Sampling methods</subject><subject>Sex Factors</subject><subject>Well being</subject><subject>Wellbeing</subject><subject>Young Adult</subject><issn>1038-5282</issn><issn>1440-1584</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><sourceid>7TQ</sourceid><recordid>eNqNkslu2zAQhoWiRbO0r1AIKNDmImW4iirQg5FmaeBujoscCUqiazpaUlGC7bfPKHJ96CEtLyQ43_8POTNBEBKICa7TVUw4h4gIxWMKkMaAtyrePAsO94HneAamIkEVPQiOvF8BkkD4y-CAAmFSETgM9Bdbd6YMl9aU3TI0dRGubVlGmXX1r3DtuqWrw7ZvEcmbqupr1znrP4TzpQ0nve8w4Ewdzh6JndfV6HXT9cX2VfBiYUpvX-_24-Dnxfn87Cqafrv8fDaZRrkQUkUpYymjQJkEYXnOkoIlkCpmGWGJsPjYrMiVAcYXGSGFKBSlGU8RL3IDObDj4P3oe982v3vrO105n-NPTG2b3usEE0ACkiP57klSKMWxPvBvMGFUMZkiePIkSJJESuSIQPTtX-iq6dsaK4OUlEIBoRIpNVJ523jf2oW-b11l2q0moIcB0Cs99FkPfdbDAOjHAdAblL7ZJeizyhZ74Z-OI_BxBNautNv_NtaT69lwQn006p3v7GavN-2dlgn2St9-vdQX3-c_bm9mU_2JPQAB-cq0</recordid><startdate>201002</startdate><enddate>201002</enddate><creator>Kelly, Brian J.</creator><creator>Stain, Helen J.</creator><creator>Coleman, Clare</creator><creator>Perkins, David</creator><creator>Fragar, Lyn</creator><creator>Fuller, Jeffrey</creator><creator>Lewin, Terry J.</creator><creator>Lyle, David</creator><creator>Carr, Vaughan J.</creator><creator>Wilson, Jacqueline M.</creator><creator>Beard, John R.</creator><general>Blackwell Publishing Asia</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7T5</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7T2</scope><scope>7U2</scope><scope>C1K</scope><scope>7TQ</scope><scope>DHY</scope><scope>DON</scope><scope>7X8</scope></search><sort><creationdate>201002</creationdate><title>Mental health and well-being within rural communities: The Australian Rural Mental Health Study</title><author>Kelly, Brian J. ; Stain, Helen J. ; Coleman, Clare ; Perkins, David ; Fragar, Lyn ; Fuller, Jeffrey ; Lewin, Terry J. ; Lyle, David ; Carr, Vaughan J. ; Wilson, Jacqueline M. ; Beard, John R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5568-933932023605e4c37d370983e31375e368bdc8a034fb11d5d822b49360dca0c03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Adults</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Child health</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>Communities</topic><topic>Composite International Diagnostic Interview</topic><topic>Data Collection</topic><topic>determinant</topic><topic>Diagnostic systems</topic><topic>Environmental aspects</topic><topic>epidemiology</topic><topic>Female</topic><topic>Health status</topic><topic>Health surveys</topic><topic>Households</topic><topic>Humans</topic><topic>Logistic Models</topic><topic>Male</topic><topic>mental disorder</topic><topic>Mental disorders</topic><topic>Mental Disorders - epidemiology</topic><topic>Mental health</topic><topic>Mental Health - statistics & numerical data</topic><topic>Mental Health Services - statistics & numerical data</topic><topic>Metropolitan areas</topic><topic>Middle Aged</topic><topic>New South Wales</topic><topic>New South Wales - epidemiology</topic><topic>New South Wales, Australia</topic><topic>Nursing</topic><topic>Physical symptoms</topic><topic>Psychological distress</topic><topic>Psychological problems</topic><topic>Recruitment</topic><topic>Remote areas</topic><topic>Remote regions</topic><topic>rural</topic><topic>Rural areas</topic><topic>Rural communities</topic><topic>Rural Population - statistics & numerical data</topic><topic>Sampling methods</topic><topic>Sex Factors</topic><topic>Well being</topic><topic>Wellbeing</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kelly, Brian J.</creatorcontrib><creatorcontrib>Stain, Helen J.</creatorcontrib><creatorcontrib>Coleman, Clare</creatorcontrib><creatorcontrib>Perkins, David</creatorcontrib><creatorcontrib>Fragar, Lyn</creatorcontrib><creatorcontrib>Fuller, Jeffrey</creatorcontrib><creatorcontrib>Lewin, Terry J.</creatorcontrib><creatorcontrib>Lyle, David</creatorcontrib><creatorcontrib>Carr, Vaughan J.</creatorcontrib><creatorcontrib>Wilson, Jacqueline M.</creatorcontrib><creatorcontrib>Beard, John R.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS Index</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>MEDLINE - Academic</collection><jtitle>The Australian journal of rural health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kelly, Brian J.</au><au>Stain, Helen J.</au><au>Coleman, Clare</au><au>Perkins, David</au><au>Fragar, Lyn</au><au>Fuller, Jeffrey</au><au>Lewin, Terry J.</au><au>Lyle, David</au><au>Carr, Vaughan J.</au><au>Wilson, Jacqueline M.</au><au>Beard, John R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mental health and well-being within rural communities: The Australian Rural Mental Health Study</atitle><jtitle>The Australian journal of rural health</jtitle><addtitle>Aust J Rural Health</addtitle><date>2010-02</date><risdate>2010</risdate><volume>18</volume><issue>1</issue><spage>16</spage><epage>24</epage><pages>16-24</pages><issn>1038-5282</issn><eissn>1440-1584</eissn><coden>AJRHF6</coden><abstract>Objective: This paper outlines the methods and baseline data from a multisite cohort study of the determinants and outcomes of mental health and well‐being within rural and remote communities.
Methods: A stratified random sample of adults was drawn in non‐metropolitan New South Wales using the Australian Electoral Roll, with the aim of recruiting all adult members of each household. Surveys assessed psychological symptoms, physical health and mental disorders, along with individual‐, family/household‐ and community‐level characteristics. A stratified subsample completed a telephone‐administered World Mental Health‐Composite International Diagnostic Interview (World Mental Health‐3.0). Proxy measures of child health and well‐being were obtained. Follow up of this sample will be undertaken at one, three and five years.
Results: A total of 2639 individuals were recruited (1879 households), with 28% from remote/very remote regions. A significant relationship was found between recent distress (Kessler‐10 scores), age and remoteness, with a linear reduction of Kessler‐10 scores with age and the lowest mean scores in remote regions.
Conclusions: Existing rurality categories cannot address the diverse socio‐cultural, economic and environmental characteristics of non‐metropolitan regions. While it has limitations, the dataset will enable a fine‐grained examination of geographic, household and community factors and provide a unique longitudinal dataset over a five‐year period.</abstract><cop>Melbourne, Australia</cop><pub>Blackwell Publishing Asia</pub><pmid>20136810</pmid><doi>10.1111/j.1440-1584.2009.01118.x</doi><tpages>9</tpages></addata></record> |
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| subjects | Adolescent Adult Adults Age Factors Aged Child health Cohort analysis Cohort Studies Communities Composite International Diagnostic Interview Data Collection determinant Diagnostic systems Environmental aspects epidemiology Female Health status Health surveys Households Humans Logistic Models Male mental disorder Mental disorders Mental Disorders - epidemiology Mental health Mental Health - statistics & numerical data Mental Health Services - statistics & numerical data Metropolitan areas Middle Aged New South Wales New South Wales - epidemiology New South Wales, Australia Nursing Physical symptoms Psychological distress Psychological problems Recruitment Remote areas Remote regions rural Rural areas Rural communities Rural Population - statistics & numerical data Sampling methods Sex Factors Well being Wellbeing Young Adult |
| title | Mental health and well-being within rural communities: The Australian Rural Mental Health Study |
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