Sociodemographic predictors of multiple non-communicable disease risk factors among older adults in South Africa.
Identifieur interne : 000D34 ( PubMed/Checkpoint ); précédent : 000D33; suivant : 000D35Sociodemographic predictors of multiple non-communicable disease risk factors among older adults in South Africa.
Auteurs : Nancy Phaswana-Mafuya [Afrique du Sud] ; Karl Peltzer ; Witness Chirinda ; Alfred Musekiwa ; Zamakayise KoseSource :
- Global health action [ 1654-9880 ] ; 2013.
Descripteurs français
- KwdFr :
- Adulte d'âge moyen, Facteurs de l'âge, Facteurs de risque, Facteurs sexuels, Facteurs socioéconomiques, Femelle, Humains, Hypertension artérielle (épidémiologie), Maladie (étiologie), Mode de vie sédentaire, Mâle, Niveau d'instruction, Obésité (épidémiologie), Régime alimentaire, République d'Afrique du Sud (épidémiologie), Situation de famille, Sujet âgé, Surpoids (épidémiologie), Études transversales.
- MESH :
- épidémiologie : Hypertension artérielle, Obésité, République d'Afrique du Sud, Surpoids.
- étiologie : Maladie.
- Adulte d'âge moyen, Facteurs de l'âge, Facteurs de risque, Facteurs sexuels, Facteurs socioéconomiques, Femelle, Humains, Mode de vie sédentaire, Mâle, Niveau d'instruction, Régime alimentaire, Situation de famille, Sujet âgé, Études transversales.
- Wicri :
- geographic : Afrique du Sud.
English descriptors
- KwdEn :
- Age Factors, Aged, Cross-Sectional Studies, Diet, Disease (etiology), Educational Status, Female, Humans, Hypertension (epidemiology), Male, Marital Status, Middle Aged, Obesity (epidemiology), Overweight (epidemiology), Risk Factors, Sedentary Lifestyle, Sex Factors, Socioeconomic Factors, South Africa (epidemiology).
- MESH :
- geographic , epidemiology : South Africa.
- epidemiology : Hypertension, Obesity, Overweight.
- etiology : Disease.
- Age Factors, Aged, Cross-Sectional Studies, Diet, Educational Status, Female, Humans, Male, Marital Status, Middle Aged, Risk Factors, Sedentary Lifestyle, Sex Factors, Socioeconomic Factors.
Abstract
Unhealthy lifestyle behaviours are important risk factors of morbidity and mortality. This study aimed to explore the sociodemographic predictors of multiple non-communicable disease (NCD) risk factors experienced by elderly South Africans.
PubMed: 24044582
Affiliations:
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This study aimed to explore the sociodemographic predictors of multiple non-communicable disease (NCD) risk factors experienced by elderly South Africans.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24044582</PMID><DateCreated><Year>2013</Year><Month>09</Month><Day>18</Day></DateCreated><DateCompleted><Year>2014</Year><Month>01</Month><Day>31</Day></DateCompleted><DateRevised><Year>2016</Year><Month>10</Month><Day>20</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1654-9880</ISSN><JournalIssue CitedMedium="Internet"><Volume>6</Volume><PubDate><Year>2013</Year><Month>Sep</Month><Day>16</Day></PubDate></JournalIssue><Title>Global health action</Title><ISOAbbreviation>Glob Health Action</ISOAbbreviation></Journal><ArticleTitle>Sociodemographic predictors of multiple non-communicable disease risk factors among older adults in South Africa.</ArticleTitle><Pagination><MedlinePgn>20680</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3402/gha.v6i0.20680</ELocationID><Abstract><AbstractText Label="BACKGROUND AND OBJECTIVE" NlmCategory="OBJECTIVE">Unhealthy lifestyle behaviours are important risk factors of morbidity and mortality. This study aimed to explore the sociodemographic predictors of multiple non-communicable disease (NCD) risk factors experienced by elderly South Africans.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">We conducted a national population-based cross-sectional survey with a sample of 3,840 individuals aged 50 years or above in South Africa in 2008. The outcome variable was the co-existence of multiple NCD risk factors (tobacco use, alcohol, physical inactivity, fruit and vegetable intake, overweight or obesity, and hypertension) in each individual. The exposure variables were sociodemographic characteristics, namely, age, gender, education, wealth status, population group, marital status, and residence. Multivariate linear regression was used to assess the association between sociodemographic variables and multiple NCD risk factors.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">The mean number of NCD risk factors among all participants was three (95% confidence interval: 2.81-3.10). Multivariate linear regression analysis revealed that being female, being in the age group of 60-69 years, and being from the Coloured and Black African race were associated with a higher number of NCD risk factors. Marital status, educational level, wealth, and residence were not significantly associated with the number of NCD risk factors experienced.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The co-existence of multiple lifestyle NCD risk factors among the elderly is a public health concern. Comprehensive health-promotion interventions addressing the co-existence of multiple NCD risk factors tailored for specific sociodemographic groups are needed.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Phaswana-Mafuya</LastName><ForeName>Nancy</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>HIV/AIDS/STI/and TB (HAST), Human Sciences Research Council, Pretoria, Port Elizabeth, South Africa; Office of the Deputy Vice Chancellor, Nelson Mandela Metropolitan University, Port Elizabeth, South Africa; nphaswanamafuya@hsrc.ac.za.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Peltzer</LastName><ForeName>Karl</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Chirinda</LastName><ForeName>Witness</ForeName><Initials>W</Initials></Author><Author ValidYN="Y"><LastName>Musekiwa</LastName><ForeName>Alfred</ForeName><Initials>A</Initials></Author><Author 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Version="1">12376585</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004032" MajorTopicYN="N">Diet</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004194" MajorTopicYN="N">Disease</DescriptorName><QualifierName UI="Q000209" MajorTopicYN="Y">etiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004522" MajorTopicYN="N">Educational Status</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName 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uniqKey="Kose Z" first="Zamakayise" last="Kose">Zamakayise Kose</name><name sortKey="Musekiwa, Alfred" sort="Musekiwa, Alfred" uniqKey="Musekiwa A" first="Alfred" last="Musekiwa">Alfred Musekiwa</name><name sortKey="Peltzer, Karl" sort="Peltzer, Karl" uniqKey="Peltzer K" first="Karl" last="Peltzer">Karl Peltzer</name></noCountry><country name="Afrique du Sud"><noRegion><name sortKey="Phaswana Mafuya, Nancy" sort="Phaswana Mafuya, Nancy" uniqKey="Phaswana Mafuya N" first="Nancy" last="Phaswana-Mafuya">Nancy Phaswana-Mafuya</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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