Sociodemographic and socioeconomic patterns of chronic non-communicable disease among the older adult population in Ghana
Identifieur interne : 000551 ( Pmc/Curation ); précédent : 000550; suivant : 000552Sociodemographic and socioeconomic patterns of chronic non-communicable disease among the older adult population in Ghana
Auteurs : Nadia Minicuci [Italie, Ghana] ; Richard B. Biritwum [Ghana] ; George Mensah [Ghana] ; Alfred E. Yawson [Ghana] ; Nirmala Naidoo [Suisse] ; Somnath Chatterji [Suisse] ; Paul Kowal [Suisse, Australie]Source :
- Global Health Action [ 1654-9716 ] ; 2014.
Abstract
In Ghana, the older adult population is projected to increase from 5.3% of the total population in 2015 to 8.9% by 2050. National and local governments will need information about non-communicable diseases (NCDs) in this population in order to allocate health system resources and respond to the health needs of older adults.
The 2007/08 Study on global AGEing and adult health (SAGE) Wave 1 in Ghana used face-to-face interviews in a nationally representative sample of persons aged 50-plus years. Individual respondents were asked about their overall health, diagnosis of 10 chronic non-communicable conditions, and common health risk factors. A number of anthropometric and health measurements were also taken in all respondents, including height, weight, waist and hip circumferences, and blood pressure (BP).
This paper includes 4,724 adults aged 50-plus years. The highest prevalence of self-reported chronic conditions was for hypertension [14.2% (95% CI 12.8–15.6)] and osteoarthritis [13.8%, (95% CI 11.7–15.9)]. The figure for hypertension reached 51.1% (95% CI 48.9–53.4) when based on BP measurement. The prevalence of current smokers was 8.1% (95% CI 7.0–9.2), while 2.0 (95% CI 1.5–2.5) were infrequent/frequent heavy drinkers, 67.9% (95% CI 65.2–70.5) consume insufficient fruits and vegetables, and 25.7% (95% CI 23.1–28.3) had a low level of physical activity. Almost 10% (95% CI 8.3–11.1) of adults were obese and 77.6% (95% CI 76.0–79.2) had a high-risk waist-to-hip ratio (WHR). Risks from tobacco and alcohol consumption continued into older age, while insufficient fruit and vegetable intake, low physical activity and obesity increased with increasing age. The patterns of risk factors varied by income quintile, with higher prevalence of obesity and low physical activity in wealthier respondents, and higher prevalence of insufficient fruit and vegetable intake and smoking in lower-income respondents. The multivariate analysis showed that only urban/rural residence and body mass index (BMI) were common determinates of both self-reported and measured hypertension, while all other determinants have differing patterns.
The findings show a high burden of chronic diseases in the older Ghanaian population, as well as high rates of modifiable health risk factors. The government could consider targeting these health behaviors in conjunction with work to improve enrolment rates in the National Health Insurance Scheme.
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DOI: 10.3402/gha.v7.21292
PubMed: 24746141
PubMed Central: 3991840
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Biritwum</name><affiliation wicri:level="1"><nlm:aff id="AF0002">Department of Community Health, University of Ghana, Accra, Ghana</nlm:aff><country xml:lang="fr">Ghana</country><wicri:regionArea>Department of Community Health, University of Ghana, Accra</wicri:regionArea></affiliation></author><author><name sortKey="Mensah, George" sort="Mensah, George" uniqKey="Mensah G" first="George" last="Mensah">George Mensah</name><affiliation wicri:level="1"><nlm:aff id="AF0002">Department of Community Health, University of Ghana, Accra, Ghana</nlm:aff><country xml:lang="fr">Ghana</country><wicri:regionArea>Department of Community Health, University of Ghana, Accra</wicri:regionArea></affiliation></author><author><name sortKey="Yawson, Alfred E" sort="Yawson, Alfred E" uniqKey="Yawson A" first="Alfred E." last="Yawson">Alfred E. Yawson</name><affiliation wicri:level="1"><nlm:aff id="AF0002">Department of Community Health, University of Ghana, Accra, Ghana</nlm:aff><country xml:lang="fr">Ghana</country><wicri:regionArea>Department of Community Health, University of Ghana, Accra</wicri:regionArea></affiliation></author><author><name sortKey="Naidoo, Nirmala" sort="Naidoo, Nirmala" uniqKey="Naidoo N" first="Nirmala" last="Naidoo">Nirmala Naidoo</name><affiliation wicri:level="1"><nlm:aff id="AF0003">Multi-Country Studies Unit, World Health Organization, Geneva, Switzerland</nlm:aff><country xml:lang="fr">Suisse</country><wicri:regionArea>Multi-Country Studies Unit, World Health Organization, Geneva</wicri:regionArea></affiliation></author><author><name sortKey="Chatterji, Somnath" sort="Chatterji, Somnath" uniqKey="Chatterji S" first="Somnath" last="Chatterji">Somnath Chatterji</name><affiliation wicri:level="1"><nlm:aff id="AF0003">Multi-Country Studies Unit, World Health Organization, Geneva, Switzerland</nlm:aff><country xml:lang="fr">Suisse</country><wicri:regionArea>Multi-Country Studies Unit, World Health Organization, Geneva</wicri:regionArea></affiliation></author><author><name sortKey="Kowal, Paul" sort="Kowal, Paul" uniqKey="Kowal P" first="Paul" last="Kowal">Paul Kowal</name><affiliation wicri:level="1"><nlm:aff id="AF0003">Multi-Country Studies Unit, World Health Organization, Geneva, Switzerland</nlm:aff><country xml:lang="fr">Suisse</country><wicri:regionArea>Multi-Country Studies Unit, World Health Organization, Geneva</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="AF0004">Research Centre for Gender, Health and Ageing, University of Newcastle, Newcastle, Australia</nlm:aff><country xml:lang="fr">Australie</country><wicri:regionArea>Research Centre for Gender, Health and Ageing, University of Newcastle, Newcastle</wicri:regionArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">24746141</idno><idno type="pmc">3991840</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3991840</idno><idno type="RBID">PMC:3991840</idno><idno type="doi">10.3402/gha.v7.21292</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">000551</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000551</idno><idno type="wicri:Area/Pmc/Curation">000551</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000551</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Sociodemographic and socioeconomic patterns of chronic non-communicable disease among the older adult population in Ghana</title><author><name sortKey="Minicuci, Nadia" sort="Minicuci, Nadia" uniqKey="Minicuci N" first="Nadia" last="Minicuci">Nadia Minicuci</name><affiliation wicri:level="1"><nlm:aff id="AF0001">National Research Council, Neuroscience Institute, Padova, Italy</nlm:aff><country xml:lang="fr">Italie</country><wicri:regionArea>National Research Council, Neuroscience Institute, Padova</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="AF0002">Department of Community Health, University of Ghana, Accra, Ghana</nlm:aff><country xml:lang="fr">Ghana</country><wicri:regionArea>Department of Community Health, University of Ghana, Accra</wicri:regionArea></affiliation></author><author><name sortKey="Biritwum, Richard B" sort="Biritwum, Richard B" uniqKey="Biritwum R" first="Richard B." last="Biritwum">Richard B. Biritwum</name><affiliation wicri:level="1"><nlm:aff id="AF0002">Department of Community Health, University of Ghana, Accra, Ghana</nlm:aff><country xml:lang="fr">Ghana</country><wicri:regionArea>Department of Community Health, University of Ghana, Accra</wicri:regionArea></affiliation></author><author><name sortKey="Mensah, George" sort="Mensah, George" uniqKey="Mensah G" first="George" last="Mensah">George Mensah</name><affiliation wicri:level="1"><nlm:aff id="AF0002">Department of Community Health, University of Ghana, Accra, Ghana</nlm:aff><country xml:lang="fr">Ghana</country><wicri:regionArea>Department of Community Health, University of Ghana, Accra</wicri:regionArea></affiliation></author><author><name sortKey="Yawson, Alfred E" sort="Yawson, Alfred E" uniqKey="Yawson A" first="Alfred E." last="Yawson">Alfred E. Yawson</name><affiliation wicri:level="1"><nlm:aff id="AF0002">Department of Community Health, University of Ghana, Accra, Ghana</nlm:aff><country xml:lang="fr">Ghana</country><wicri:regionArea>Department of Community Health, University of Ghana, Accra</wicri:regionArea></affiliation></author><author><name sortKey="Naidoo, Nirmala" sort="Naidoo, Nirmala" uniqKey="Naidoo N" first="Nirmala" last="Naidoo">Nirmala Naidoo</name><affiliation wicri:level="1"><nlm:aff id="AF0003">Multi-Country Studies Unit, World Health Organization, Geneva, Switzerland</nlm:aff><country xml:lang="fr">Suisse</country><wicri:regionArea>Multi-Country Studies Unit, World Health Organization, Geneva</wicri:regionArea></affiliation></author><author><name sortKey="Chatterji, Somnath" sort="Chatterji, Somnath" uniqKey="Chatterji S" first="Somnath" last="Chatterji">Somnath Chatterji</name><affiliation wicri:level="1"><nlm:aff id="AF0003">Multi-Country Studies Unit, World Health Organization, Geneva, Switzerland</nlm:aff><country xml:lang="fr">Suisse</country><wicri:regionArea>Multi-Country Studies Unit, World Health Organization, Geneva</wicri:regionArea></affiliation></author><author><name sortKey="Kowal, Paul" sort="Kowal, Paul" uniqKey="Kowal P" first="Paul" last="Kowal">Paul Kowal</name><affiliation wicri:level="1"><nlm:aff id="AF0003">Multi-Country Studies Unit, World Health Organization, Geneva, Switzerland</nlm:aff><country xml:lang="fr">Suisse</country><wicri:regionArea>Multi-Country Studies Unit, World Health Organization, Geneva</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="AF0004">Research Centre for Gender, Health and Ageing, University of Newcastle, Newcastle, Australia</nlm:aff><country xml:lang="fr">Australie</country><wicri:regionArea>Research Centre for Gender, Health and Ageing, University of Newcastle, Newcastle</wicri:regionArea></affiliation></author></analytic><series><title level="j">Global Health Action</title><idno type="ISSN">1654-9716</idno><idno type="eISSN">1654-9880</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="st1"><title>Background</title><p>In Ghana, the older adult population is projected to increase from 5.3% of the total population in 2015 to 8.9% by 2050. National and local governments will need information about non-communicable diseases (NCDs) in this population in order to allocate health system resources and respond to the health needs of older adults.</p></sec><sec id="st2"><title>Design</title><p>The 2007/08 Study on global AGEing and adult health (SAGE) Wave 1 in Ghana used face-to-face interviews in a nationally representative sample of persons aged 50-plus years. Individual respondents were asked about their overall health, diagnosis of 10 chronic non-communicable conditions, and common health risk factors. A number of anthropometric and health measurements were also taken in all respondents, including height, weight, waist and hip circumferences, and blood pressure (BP).</p></sec><sec id="st3"><title>Results</title><p>This paper includes 4,724 adults aged 50-plus years. The highest prevalence of self-reported chronic conditions was for hypertension [14.2% (95% CI 12.8–15.6)] and osteoarthritis [13.8%, (95% CI 11.7–15.9)]. The figure for hypertension reached 51.1% (95% CI 48.9–53.4) when based on BP measurement. The prevalence of current smokers was 8.1% (95% CI 7.0–9.2), while 2.0 (95% CI 1.5–2.5) were infrequent/frequent heavy drinkers, 67.9% (95% CI 65.2–70.5) consume insufficient fruits and vegetables, and 25.7% (95% CI 23.1–28.3) had a low level of physical activity. Almost 10% (95% CI 8.3–11.1) of adults were obese and 77.6% (95% CI 76.0–79.2) had a high-risk waist-to-hip ratio (WHR). Risks from tobacco and alcohol consumption continued into older age, while insufficient fruit and vegetable intake, low physical activity and obesity increased with increasing age. The patterns of risk factors varied by income quintile, with higher prevalence of obesity and low physical activity in wealthier respondents, and higher prevalence of insufficient fruit and vegetable intake and smoking in lower-income respondents. The multivariate analysis showed that only urban/rural residence and body mass index (BMI) were common determinates of both self-reported and measured hypertension, while all other determinants have differing patterns.</p></sec><sec id="st4"><title>Conclusions</title><p>The findings show a high burden of chronic diseases in the older Ghanaian population, as well as high rates of modifiable health risk factors. The government could consider targeting these health behaviors in conjunction with work to improve enrolment rates in the National Health Insurance Scheme.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Biritwum, Rb" uniqKey="Biritwum R">RB Biritwum</name></author><author><name sortKey="Mensah, G" uniqKey="Mensah G">G Mensah</name></author><author><name sortKey="Minicuci, N" uniqKey="Minicuci N">N Minicuci</name></author><author><name sortKey="Yawson, Ae" uniqKey="Yawson A">AE Yawson</name></author><author><name sortKey="Naidoo, N" uniqKey="Naidoo N">N Naidoo</name></author><author><name sortKey="Chatterji, S" uniqKey="Chatterji S">S Chatterji</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Kowal, P" uniqKey="Kowal P">P Kowal</name></author><author><name sortKey="Chatterji, S" uniqKey="Chatterji S">S Chatterji</name></author><author><name sortKey="Naidoo, N" uniqKey="Naidoo N">N Naidoo</name></author><author><name sortKey="Biritwum, R" uniqKey="Biritwum R">R Biritwum</name></author><author><name sortKey="Fan, W" uniqKey="Fan W">W Fan</name></author><author><name sortKey="Lopez Ridaura, R" uniqKey="Lopez Ridaura R">R Lopez Ridaura</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Ferguson, B" uniqKey="Ferguson B">B Ferguson</name></author><author><name sortKey="Murray, Cl" uniqKey="Murray C">CL Murray</name></author><author><name sortKey="Tandon, A" uniqKey="Tandon A">A Tandon</name></author><author><name sortKey="Gakidou, E" uniqKey="Gakidou E">E Gakidou</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chobanian, Av" uniqKey="Chobanian A">AV Chobanian</name></author><author><name sortKey="Bakris, Gl" uniqKey="Bakris G">GL 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Glob Health Action</journal-id><journal-id journal-id-type="iso-abbrev">Glob Health Action</journal-id><journal-id journal-id-type="publisher-id">GHA</journal-id><journal-title-group><journal-title>Global Health Action</journal-title></journal-title-group><issn pub-type="ppub">1654-9716</issn><issn pub-type="epub">1654-9880</issn><publisher><publisher-name>Co-Action Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">24746141</article-id><article-id pub-id-type="pmc">3991840</article-id><article-id pub-id-type="publisher-id">21292</article-id><article-id pub-id-type="doi">10.3402/gha.v7.21292</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Article</subject></subj-group></article-categories><title-group><article-title>Sociodemographic and socioeconomic patterns of chronic non-communicable disease among the older adult population in Ghana</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Minicuci</surname><given-names>Nadia</given-names></name><xref ref-type="aff" rid="AF0001">1</xref><xref ref-type="aff" rid="AF0002">2</xref><xref ref-type="corresp" rid="cor1">*</xref></contrib><contrib contrib-type="author"><name><surname>Biritwum</surname><given-names>Richard B.</given-names></name><xref ref-type="aff" rid="AF0002">2</xref></contrib><contrib contrib-type="author"><name><surname>Mensah</surname><given-names>George</given-names></name><xref ref-type="aff" rid="AF0002">2</xref></contrib><contrib contrib-type="author"><name><surname>Yawson</surname><given-names>Alfred E.</given-names></name><xref ref-type="aff" rid="AF0002">2</xref></contrib><contrib contrib-type="author"><name><surname>Naidoo</surname><given-names>Nirmala</given-names></name><xref ref-type="aff" rid="AF0003">3</xref></contrib><contrib contrib-type="author"><name><surname>Chatterji</surname><given-names>Somnath</given-names></name><xref ref-type="aff" rid="AF0003">3</xref></contrib><contrib contrib-type="author"><name><surname>Kowal</surname><given-names>Paul</given-names></name><xref ref-type="aff" rid="AF0003">3</xref><xref ref-type="aff" rid="AF0004">4</xref></contrib></contrib-group><aff id="AF0001"><label>1</label>National Research Council, Neuroscience Institute, Padova, Italy</aff><aff id="AF0002"><label>2</label>Department of Community Health, University of Ghana, Accra, Ghana</aff><aff id="AF0003"><label>3</label>Multi-Country Studies Unit, World Health Organization, Geneva, Switzerland</aff><aff id="AF0004"><label>4</label>Research Centre for Gender, Health and Ageing, University of Newcastle, Newcastle, Australia</aff><author-notes><corresp id="cor1"><label>*</label>Correspondence to: Nadia Minicuci, National Research Council, Neuroscience Institute, Via Giustiniani, 2, 35128 Padova, Italy, Email: <email xlink:href="nadia.minicuci@unipd.it">nadia.minicuci@unipd.it</email></corresp></author-notes><pub-date pub-type="epub"><day>15</day><month>4</month><year>2014</year></pub-date><pub-date pub-type="collection"><year>2014</year></pub-date><volume>7</volume><elocation-id content-type="doi">10.3402/gha.v7.21292</elocation-id><history><date date-type="received"><day>02</day><month>5</month><year>2013</year></date><date date-type="rev-recd"><day>26</day><month>2</month><year>2014</year></date><date date-type="accepted"><day>13</day><month>3</month><year>2014</year></date></history><permissions><copyright-statement>© 2014 Nadia Minicuci et al.</copyright-statement><copyright-year>2014</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><abstract><sec id="st1"><title>Background</title><p>In Ghana, the older adult population is projected to increase from 5.3% of the total population in 2015 to 8.9% by 2050. National and local governments will need information about non-communicable diseases (NCDs) in this population in order to allocate health system resources and respond to the health needs of older adults.</p></sec><sec id="st2"><title>Design</title><p>The 2007/08 Study on global AGEing and adult health (SAGE) Wave 1 in Ghana used face-to-face interviews in a nationally representative sample of persons aged 50-plus years. Individual respondents were asked about their overall health, diagnosis of 10 chronic non-communicable conditions, and common health risk factors. A number of anthropometric and health measurements were also taken in all respondents, including height, weight, waist and hip circumferences, and blood pressure (BP).</p></sec><sec id="st3"><title>Results</title><p>This paper includes 4,724 adults aged 50-plus years. The highest prevalence of self-reported chronic conditions was for hypertension [14.2% (95% CI 12.8–15.6)] and osteoarthritis [13.8%, (95% CI 11.7–15.9)]. The figure for hypertension reached 51.1% (95% CI 48.9–53.4) when based on BP measurement. The prevalence of current smokers was 8.1% (95% CI 7.0–9.2), while 2.0 (95% CI 1.5–2.5) were infrequent/frequent heavy drinkers, 67.9% (95% CI 65.2–70.5) consume insufficient fruits and vegetables, and 25.7% (95% CI 23.1–28.3) had a low level of physical activity. Almost 10% (95% CI 8.3–11.1) of adults were obese and 77.6% (95% CI 76.0–79.2) had a high-risk waist-to-hip ratio (WHR). Risks from tobacco and alcohol consumption continued into older age, while insufficient fruit and vegetable intake, low physical activity and obesity increased with increasing age. The patterns of risk factors varied by income quintile, with higher prevalence of obesity and low physical activity in wealthier respondents, and higher prevalence of insufficient fruit and vegetable intake and smoking in lower-income respondents. The multivariate analysis showed that only urban/rural residence and body mass index (BMI) were common determinates of both self-reported and measured hypertension, while all other determinants have differing patterns.</p></sec><sec id="st4"><title>Conclusions</title><p>The findings show a high burden of chronic diseases in the older Ghanaian population, as well as high rates of modifiable health risk factors. The government could consider targeting these health behaviors in conjunction with work to improve enrolment rates in the National Health Insurance Scheme.</p></sec></abstract><kwd-group><kwd>SAGE</kwd><kwd>Ghana</kwd><kwd>aging</kwd><kwd>health behavior</kwd><kwd>non-communicable disease</kwd></kwd-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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