Health disparities, and health behaviours of older immigrants & native population in Norway
We aimed to investigate and compare activities of daily living (ADL), instrumental ADL (IADL), poor self-rated health and the health behaviours among immigrants and the native population in Norway. We present results from analysis of two Norwegian surveys, (Living Conditions Survey on Health from 20...
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description | We aimed to investigate and compare activities of daily living (ADL), instrumental ADL (IADL), poor self-rated health and the health behaviours among immigrants and the native population in Norway. We present results from analysis of two Norwegian surveys, (Living Conditions Survey on Health from 2015, Living Conditions Survey among Immigrants 2016). Using logistic regression models, odds ratios were estimated for functional ability, self-reported health, and health behavior among immigrants, with Norwegian born being the reference category. The first model was controlled for age and gender and the second model was additionally adjusted for educational level. Our analysis included 5343 participants, 2853 men (913 immigrants), and 2481 women (603 immigrants), aged 45-79 years. The age-group 45-66 years includes n = 4187 (immigrants n = 1431, men n = 856; women n = 575) and 67-79 years n = 1147 (immigrants n = 85, men n = 57; women n = 28). The percentage of Norwegians having ≥ 14 years of education was 86%, as compared to 56% among immigrants. The percentage of immigrants with no education at all was 11%. The employment rate among the Norwegian eldest age group was nearly double (14%) as compared to the immigrant group. Adjusted for age, gender and education, immigrants had higher odds than Norwegian of ADL and IADL, chronic diseases and overweight. There were no differences between immigrants and Norwegians in prevalence of poor self-reported health and smoking. Overall elderly immigrants are worse-off than Norwegians in parameters of health and functioning. Knowledge about health and functioning of elderly immigrants can provide a basis for evidence-based policies and interventions to ensure the best possible health for a growing number of elderly immigrants. Furthermore, for a better surveillance, planning of programs, making policies, decisions and improved assessment and implementation, ADL and IADLs limitations should be included as a variable in public health studies. |
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We present results from analysis of two Norwegian surveys, (Living Conditions Survey on Health from 2015, Living Conditions Survey among Immigrants 2016). Using logistic regression models, odds ratios were estimated for functional ability, self-reported health, and health behavior among immigrants, with Norwegian born being the reference category. The first model was controlled for age and gender and the second model was additionally adjusted for educational level. Our analysis included 5343 participants, 2853 men (913 immigrants), and 2481 women (603 immigrants), aged 45-79 years. The age-group 45-66 years includes n = 4187 (immigrants n = 1431, men n = 856; women n = 575) and 67-79 years n = 1147 (immigrants n = 85, men n = 57; women n = 28). The percentage of Norwegians having ≥ 14 years of education was 86%, as compared to 56% among immigrants. The percentage of immigrants with no education at all was 11%. The employment rate among the Norwegian eldest age group was nearly double (14%) as compared to the immigrant group. Adjusted for age, gender and education, immigrants had higher odds than Norwegian of ADL and IADL, chronic diseases and overweight. There were no differences between immigrants and Norwegians in prevalence of poor self-reported health and smoking. Overall elderly immigrants are worse-off than Norwegians in parameters of health and functioning. Knowledge about health and functioning of elderly immigrants can provide a basis for evidence-based policies and interventions to ensure the best possible health for a growing number of elderly immigrants. Furthermore, for a better surveillance, planning of programs, making policies, decisions and improved assessment and implementation, ADL and IADLs limitations should be included as a variable in public health studies.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0263242</identifier><identifier>PMID: 35100306</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Activities of daily living ; Age ; Age groups ; Aged ; Behavior ; Biology and Life Sciences ; Body weight ; Brochures ; Chronic illnesses ; Consent ; Data collection ; Demographic aspects ; Education ; Educational Status ; Electronic mail systems ; Emigrants and Immigrants ; Female ; Gender ; Health aspects ; Health Behavior ; Health care disparities ; Health risks ; Healthcare Disparities ; Humans ; Immigrants ; Life sciences ; Living conditions ; Male ; Medicine and Health Sciences ; Men ; Middle Aged ; Migration ; Minority aged ; Norway - epidemiology ; Odds Ratio ; Older people ; Overweight ; People and Places ; Policies ; Polls & surveys ; Population ; Public health ; Regression analysis ; Regression models ; Risk Factors ; Self Report ; Social aspects ; Surveys ; Variables</subject><ispartof>PloS one, 2022-01, Vol.17 (1), p.e0263242-e0263242</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Qureshi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 Qureshi et al 2022 Qureshi et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6072-b167badf20369c0d9641707fcb223e64dc8c423cbfed7eee009a14697ad21ad83</citedby><cites>FETCH-LOGICAL-c6072-b167badf20369c0d9641707fcb223e64dc8c423cbfed7eee009a14697ad21ad83</cites><orcidid>0000-0001-8711-733X</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/PMC8803195/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803195/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35100306$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Useche, Sergio A.</contributor><creatorcontrib>Qureshi, Samera Azeem</creatorcontrib><creatorcontrib>Kjøllesdal, Marte</creatorcontrib><creatorcontrib>Gele, Abdi</creatorcontrib><title>Health disparities, and health behaviours of older immigrants & native population in Norway</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>We aimed to investigate and compare activities of daily living (ADL), instrumental ADL (IADL), poor self-rated health and the health behaviours among immigrants and the native population in Norway. 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Furthermore, for a better surveillance, planning of programs, making policies, decisions and improved assessment and implementation, ADL and IADLs limitations should be included as a variable in public health studies.</description><subject>Activities of daily living</subject><subject>Age</subject><subject>Age groups</subject><subject>Aged</subject><subject>Behavior</subject><subject>Biology and Life Sciences</subject><subject>Body weight</subject><subject>Brochures</subject><subject>Chronic illnesses</subject><subject>Consent</subject><subject>Data collection</subject><subject>Demographic aspects</subject><subject>Education</subject><subject>Educational Status</subject><subject>Electronic mail systems</subject><subject>Emigrants and Immigrants</subject><subject>Female</subject><subject>Gender</subject><subject>Health aspects</subject><subject>Health Behavior</subject><subject>Health care disparities</subject><subject>Health risks</subject><subject>Healthcare Disparities</subject><subject>Humans</subject><subject>Immigrants</subject><subject>Life sciences</subject><subject>Living conditions</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Men</subject><subject>Middle Aged</subject><subject>Migration</subject><subject>Minority aged</subject><subject>Norway - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Qureshi, Samera Azeem</au><au>Kjøllesdal, Marte</au><au>Gele, Abdi</au><au>Useche, Sergio A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Health disparities, and health behaviours of older immigrants & native population in Norway</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2022-01-31</date><risdate>2022</risdate><volume>17</volume><issue>1</issue><spage>e0263242</spage><epage>e0263242</epage><pages>e0263242-e0263242</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>We aimed to investigate and compare activities of daily living (ADL), instrumental ADL (IADL), poor self-rated health and the health behaviours among immigrants and the native population in Norway. We present results from analysis of two Norwegian surveys, (Living Conditions Survey on Health from 2015, Living Conditions Survey among Immigrants 2016). Using logistic regression models, odds ratios were estimated for functional ability, self-reported health, and health behavior among immigrants, with Norwegian born being the reference category. The first model was controlled for age and gender and the second model was additionally adjusted for educational level. Our analysis included 5343 participants, 2853 men (913 immigrants), and 2481 women (603 immigrants), aged 45-79 years. The age-group 45-66 years includes n = 4187 (immigrants n = 1431, men n = 856; women n = 575) and 67-79 years n = 1147 (immigrants n = 85, men n = 57; women n = 28). The percentage of Norwegians having ≥ 14 years of education was 86%, as compared to 56% among immigrants. The percentage of immigrants with no education at all was 11%. The employment rate among the Norwegian eldest age group was nearly double (14%) as compared to the immigrant group. Adjusted for age, gender and education, immigrants had higher odds than Norwegian of ADL and IADL, chronic diseases and overweight. There were no differences between immigrants and Norwegians in prevalence of poor self-reported health and smoking. Overall elderly immigrants are worse-off than Norwegians in parameters of health and functioning. Knowledge about health and functioning of elderly immigrants can provide a basis for evidence-based policies and interventions to ensure the best possible health for a growing number of elderly immigrants. Furthermore, for a better surveillance, planning of programs, making policies, decisions and improved assessment and implementation, ADL and IADLs limitations should be included as a variable in public health studies.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>35100306</pmid><doi>10.1371/journal.pone.0263242</doi><tpages>e0263242</tpages><orcidid>https://orcid.org/0000-0001-8711-733X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Activities of daily living Age Age groups Aged Behavior Biology and Life Sciences Body weight Brochures Chronic illnesses Consent Data collection Demographic aspects Education Educational Status Electronic mail systems Emigrants and Immigrants Female Gender Health aspects Health Behavior Health care disparities Health risks Healthcare Disparities Humans Immigrants Life sciences Living conditions Male Medicine and Health Sciences Men Middle Aged Migration Minority aged Norway - epidemiology Odds Ratio Older people Overweight People and Places Policies Polls & surveys Population Public health Regression analysis Regression models Risk Factors Self Report Social aspects Surveys Variables |
title | Health disparities, and health behaviours of older immigrants & native population in Norway |
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