Social gradient in health-related quality of life among urban middle-age residents in Limassol, Cyprus: research article
BackgroundSocial inequalities in health threaten social cohesion and their investigation is an important research field. Monitoring the health of the population is necessary to identify health needs, design programs focused in people's needs and to evaluate the effectiveness of health policies....
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| description | BackgroundSocial inequalities in health threaten social cohesion and their investigation is an important research field. Monitoring the health of the population is necessary to identify health needs, design programs focused in people's needs and to evaluate the effectiveness of health policies.MethodsA cross-sectional survey using primary data was applied. The study investigated the size and the extent of social inequalities in quality of life and health behaviours in Limassol, Cyprus. Data collection was done door-to-door in the form of survey interviews. The sample consisted of 450 residents aged 45-64 across 45 randomly selected neighbourhoods, that met the selection criteria. The tools used were: Demographic questionnaire, SF 36 Questionnaire, IPAQ- International Physical Activity Questionnaire short form.ResultsThe social gradient appears in all social indicators. Physical dimension of health has a strong relationship between health-related quality of life with the education index. Specifically, the range is 12 points for males and 14 points for females (p for interaction=0.16). Profession systematically appears to have a stronger relationship with men than with women, and is present in both physical and mental dimensions. The range is 13 points for men and 10 points for women (p for interaction=0.31).ConclusionsIt seems that young highly educated males, employed full time, earning high income and engaging in mild physical activity, have significantly higher level of health-related life quality, compared to other middle age adult groups, living in Limassol. This finding is in agreement with other studies that show correlations between gender and the patterns of risk factors. |
| doi_str_mv | 10.1186/s12889-020-10027-6 |
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Monitoring the health of the population is necessary to identify health needs, design programs focused in people's needs and to evaluate the effectiveness of health policies.MethodsA cross-sectional survey using primary data was applied. The study investigated the size and the extent of social inequalities in quality of life and health behaviours in Limassol, Cyprus. Data collection was done door-to-door in the form of survey interviews. The sample consisted of 450 residents aged 45-64 across 45 randomly selected neighbourhoods, that met the selection criteria. The tools used were: Demographic questionnaire, SF 36 Questionnaire, IPAQ- International Physical Activity Questionnaire short form.ResultsThe social gradient appears in all social indicators. Physical dimension of health has a strong relationship between health-related quality of life with the education index. Specifically, the range is 12 points for males and 14 points for females (p for interaction=0.16). Profession systematically appears to have a stronger relationship with men than with women, and is present in both physical and mental dimensions. The range is 13 points for men and 10 points for women (p for interaction=0.31).ConclusionsIt seems that young highly educated males, employed full time, earning high income and engaging in mild physical activity, have significantly higher level of health-related life quality, compared to other middle age adult groups, living in Limassol. This finding is in agreement with other studies that show correlations between gender and the patterns of risk factors.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/s12889-020-10027-6</identifier><identifier>PMID: 33781218</identifier><language>eng</language><publisher>LONDON: Springer Nature</publisher><subject>Age ; Community health care ; Data collection ; Demographic aspects ; Economic indicators ; Gender ; Health aspects ; Health care disparities ; Health disparities ; Health policy ; Health risks ; Households ; Hypotheses ; Life Sciences & Biomedicine ; Men ; Middle aged persons ; Mortality ; Nurses ; Physical activity ; Polls & surveys ; Population ; Public health ; Public, Environmental & Occupational Health ; Quality of health ; Quality of life ; Questionnaires ; Risk analysis ; Risk factors ; Roads & highways ; Sample size ; Science & Technology ; SF 36 ; Social aspects ; Social inequalities ; Social status ; Urban areas ; Women ; Womens health</subject><ispartof>BMC public health, 2021-03, Vol.21 (1), p.608-608, Article 608</ispartof><rights>COPYRIGHT 2021 BioMed Central Ltd.</rights><rights>2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>1</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000636290500006</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c563t-2f9867a26f5944e5b1436c296eee77f3bcab677039b48f1be23614a1556f7bbc3</citedby><cites>FETCH-LOGICAL-c563t-2f9867a26f5944e5b1436c296eee77f3bcab677039b48f1be23614a1556f7bbc3</cites><orcidid>0000-0001-8611-8939</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8008686/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8008686/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2104,2116,27931,27932,39264,39265,53798,53800</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33781218$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ellina, P.</creatorcontrib><creatorcontrib>Middleton, N.</creatorcontrib><creatorcontrib>Lambrinou, E.</creatorcontrib><creatorcontrib>Kouta, C.</creatorcontrib><title>Social gradient in health-related quality of life among urban middle-age residents in Limassol, Cyprus: research article</title><title>BMC public health</title><addtitle>BMC PUBLIC HEALTH</addtitle><addtitle>BMC Public Health</addtitle><description>BackgroundSocial inequalities in health threaten social cohesion and their investigation is an important research field. Monitoring the health of the population is necessary to identify health needs, design programs focused in people's needs and to evaluate the effectiveness of health policies.MethodsA cross-sectional survey using primary data was applied. The study investigated the size and the extent of social inequalities in quality of life and health behaviours in Limassol, Cyprus. Data collection was done door-to-door in the form of survey interviews. The sample consisted of 450 residents aged 45-64 across 45 randomly selected neighbourhoods, that met the selection criteria. The tools used were: Demographic questionnaire, SF 36 Questionnaire, IPAQ- International Physical Activity Questionnaire short form.ResultsThe social gradient appears in all social indicators. Physical dimension of health has a strong relationship between health-related quality of life with the education index. Specifically, the range is 12 points for males and 14 points for females (p for interaction=0.16). Profession systematically appears to have a stronger relationship with men than with women, and is present in both physical and mental dimensions. The range is 13 points for men and 10 points for women (p for interaction=0.31).ConclusionsIt seems that young highly educated males, employed full time, earning high income and engaging in mild physical activity, have significantly higher level of health-related life quality, compared to other middle age adult groups, living in Limassol. This finding is in agreement with other studies that show correlations between gender and the patterns of risk factors.</description><subject>Age</subject><subject>Community health care</subject><subject>Data collection</subject><subject>Demographic aspects</subject><subject>Economic indicators</subject><subject>Gender</subject><subject>Health aspects</subject><subject>Health care disparities</subject><subject>Health disparities</subject><subject>Health policy</subject><subject>Health risks</subject><subject>Households</subject><subject>Hypotheses</subject><subject>Life Sciences & Biomedicine</subject><subject>Men</subject><subject>Middle aged persons</subject><subject>Mortality</subject><subject>Nurses</subject><subject>Physical activity</subject><subject>Polls & surveys</subject><subject>Population</subject><subject>Public health</subject><subject>Public, Environmental & Occupational Health</subject><subject>Quality of health</subject><subject>Quality of life</subject><subject>Questionnaires</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Roads & highways</subject><subject>Sample size</subject><subject>Science & Technology</subject><subject>SF 36</subject><subject>Social aspects</subject><subject>Social inequalities</subject><subject>Social status</subject><subject>Urban areas</subject><subject>Women</subject><subject>Womens 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N.</au><au>Lambrinou, E.</au><au>Kouta, C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Social gradient in health-related quality of life among urban middle-age residents in Limassol, Cyprus: research article</atitle><jtitle>BMC public health</jtitle><stitle>BMC PUBLIC HEALTH</stitle><addtitle>BMC Public Health</addtitle><date>2021-03-29</date><risdate>2021</risdate><volume>21</volume><issue>1</issue><spage>608</spage><epage>608</epage><pages>608-608</pages><artnum>608</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>BackgroundSocial inequalities in health threaten social cohesion and their investigation is an important research field. Monitoring the health of the population is necessary to identify health needs, design programs focused in people's needs and to evaluate the effectiveness of health policies.MethodsA cross-sectional survey using primary data was applied. The study investigated the size and the extent of social inequalities in quality of life and health behaviours in Limassol, Cyprus. Data collection was done door-to-door in the form of survey interviews. The sample consisted of 450 residents aged 45-64 across 45 randomly selected neighbourhoods, that met the selection criteria. The tools used were: Demographic questionnaire, SF 36 Questionnaire, IPAQ- International Physical Activity Questionnaire short form.ResultsThe social gradient appears in all social indicators. Physical dimension of health has a strong relationship between health-related quality of life with the education index. Specifically, the range is 12 points for males and 14 points for females (p for interaction=0.16). Profession systematically appears to have a stronger relationship with men than with women, and is present in both physical and mental dimensions. The range is 13 points for men and 10 points for women (p for interaction=0.31).ConclusionsIt seems that young highly educated males, employed full time, earning high income and engaging in mild physical activity, have significantly higher level of health-related life quality, compared to other middle age adult groups, living in Limassol. This finding is in agreement with other studies that show correlations between gender and the patterns of risk factors.</abstract><cop>LONDON</cop><pub>Springer Nature</pub><pmid>33781218</pmid><doi>10.1186/s12889-020-10027-6</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-8611-8939</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Age Community health care Data collection Demographic aspects Economic indicators Gender Health aspects Health care disparities Health disparities Health policy Health risks Households Hypotheses Life Sciences & Biomedicine Men Middle aged persons Mortality Nurses Physical activity Polls & surveys Population Public health Public, Environmental & Occupational Health Quality of health Quality of life Questionnaires Risk analysis Risk factors Roads & highways Sample size Science & Technology SF 36 Social aspects Social inequalities Social status Urban areas Women Womens health |
| title | Social gradient in health-related quality of life among urban middle-age residents in Limassol, Cyprus: research article |
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