A longitudinal multilevel analysis of the ever migrated population subjective HIV infection expectation in Malawi.
Objective: The primary purpose of this study is to assess the variance in the effects of factors influencing ever migrated Malawian population's subjective HIV infection expectation. Design: Using data from the Malawi Longitudinal Study of Families and Health (MLSFH) survey (1998-2010), 7805 ever mi...
| Publicado en: | Psychology & Health Vol. 37; no. 7; pp. 890 - 903 |
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| Autor principal: | |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jul2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=158838472&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 158838472 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08870446 7WK jtl: Psychology & Health issn: 08870446 maglogo: N pubinfo: dt: Jul2022 vid: 37 iid: 7 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 158838472 149899967 158838472 158838472 10.1080/08870446.2021.1910697 158838472 ppf: 890 ppct: 13 formats: fmt: @attributes: type: P tig: atl: A longitudinal multilevel analysis of the ever migrated population subjective HIV infection expectation in Malawi. aug: au: Simmons, Sally Sonia affil: Department of Social Policy, London School of Economics and Political Science, London, UK sug: subj: Migrants HIV Infections Psychosocial Factors Human Adult Malawi Logistic Regression Prospective Studies Sexual Behavior Adult: 19-44 years ab: Objective: The primary purpose of this study is to assess the variance in the effects of factors influencing ever migrated Malawian population's subjective HIV infection expectation. Design: Using data from the Malawi Longitudinal Study of Families and Health (MLSFH) survey (1998-2010), 7805 ever migrated Malawian adults were selected for the study. Summary statistics, logistic regression and longitudinal multi-level models were fitted for the study. A binary logistic regression was used to estimate the direction and magnitude of the associations between the variables selected for the study Five multilevel models with random intercepts and coefficients nominal response were fitted. Results: The study revealed that sexual behaviours had the most significant effect on ever migrated Malawian's subjective HIV infection expectation. All metrics showed that the conditional growth model had the most signficant outcome. The addition of time and other variables as predictors had a significant effect on the conditional growth model. Conclusion: Interventions designed to decrease the spread of HIV should target sexual behaviours and widespread testing among the ever migrated population to reduce subjective HIV infection thoughts. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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