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A longitudinal multilevel analysis of the evermigrated population subjective HIV infection expectation in Malawi
Psychology & Health ( IF 3.358 ) Pub Date : 2021-04-20 , DOI: 10.1080/08870446.2021.1910697
Sally Sonia Simmons 1, 2
Affiliation  

Abstract

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.



中文翻译:

马拉维移民人口主观 HIV 感染预期的纵向多层次分析

摘要

客观的

本研究的主要目的是评估影响曾经迁移的马拉维人口的主观 HIV 感染预期的因素影响的差异。

设计

使用来自马拉维家庭与健康纵向研究 (MLSFH) 调查 (1998-2010) 的数据,选择了 7805 名曾经迁移过的马拉维成年人进行研究。汇总统计、逻辑回归和纵向多层次模型适合该研究。使用二元逻辑回归来估计为研究选择的变量之间关联的方向和大小 拟合了五个具有随机截距和系数标称响应的多水平模型。

结果

该研究表明,性行为对曾经迁移的马拉维人的主观 HIV 感染预期影响最为显着。所有指标都表明条件增长模型具有最显着的结果。添加时间和其他变量作为预测变量对条件增长模型有显着影响。

结论

旨在减少 HIV 传播的干预措施应针对曾经迁移的人群中的性行为和广泛检测,以减少主观 HIV 感染想法。

更新日期:2021-04-21
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