南非姆普马兰加省Bushbuckridge地区非传染性疾病的流行和行为风险因素。

Frontiers in epidemiology Pub Date : 2025-04-10 eCollection Date: 2025-01-01 DOI:10.3389/fepid.2025.1560971
Thabo D Pilusa, Cairo B Ntimana, Eric Maimela
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引用次数: 0

摘要

背景:存在健康运动、预筛查、健康教育和健康讲座等干预策略。不过,它们只有在特定传染病(主要不是非传染性疾病)暴发时才会发挥作用。因此,有必要制定干预策略,通过确定社会、经济和卫生系统因素,改善对非传染性疾病行为风险因素的预防和控制。因此,该研究旨在确定南非Bushbuckridge地区导致非传染性疾病的行为风险因素的流行程度和决定因素。方法:本横断面描述性研究涉及2,400名受访者从医疗机构选择。参与者采用简单随机抽样的方法进行选择。数据分析采用SPSS 29版。比例比较采用卡方检验。采用二元回归分析社会人口学、生活方式因素与非传染性疾病行为危险因素预测因子的相关性,p值为:研究对象平均年龄46.27±13.38岁。吸烟患病率为51.3%(1,211)。过去一年内饮酒的患病率为19.3%(463),而水果和蔬菜摄入不足的患病率为76.2%。缺乏身体活动占97.2%。此外,高血压和糖尿病分别占51%和50.1%。参与者(≥35岁)的水果和蔬菜摄入量可能较低(aOR = 1.3;95% ci: 0.99-1.62)。寡妇吸烟的可能性降低30% (aOR = 0.72;95% CI: 0.57-0.92),但他们饮酒的可能性是前者的1.4倍(aOR = 1.4;95% ci: 0.99-1.84)。研究发现,失业参与者饮酒的可能性更高(aOR = 1.3;95% ci: 1.02-1.54)。结论:在Bushbuckridge地区的农村人口中,非传染性疾病行为危险因素的患病率较高,强调需要持续和全面的干预措施。在像布什巴克里奇这样的农村地区,贫困、失业、有限的医疗保健机会和不断变化的社会动态共同创造了一个具有挑战性的环境,助长了不健康的行为,增加了非传染性疾病的风险。为了在这些社区有效减轻这些疾病的负担,公共卫生战略必须注重社会经济和文化决定因素,而不仅仅是人口因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The prevalence and behavioral risk factors contributing to non-communicable diseases in Bushbuckridge, Mpumalanga province, South Africa.

Background: Intervention strategies such as health campaigns, pre-screening, health education, and health talks exist. Still, they are only active if there are outbreaks of the specific infectious disease not mainly NCDs. Therefore, there is a need to develop intervention strategies to improve the prevention and control of behavioral risk factors for NCDs by determining social, economic, and health system factors. Hence, the study aimed to determine the prevalence and determinants of behavioral risk factors contributing to NCDs in Bushbuckridge, South Africa.

Methods: This cross-sectional descriptive study involved 2,400 respondents selected from healthcare facilities. The participants were selected using simple random sampling. Data was analyzed using SPSS version 29. A comparison of proportions was performed using the chi-square test. The association between sociodemographic and lifestyle factors with predictors of behavioral risk factors for NCD was analyzed using binary regression analysis, and the statistical significance was set at a p-value of <0.05.

Results: The mean age of the study was 46.27 ± 13.38. The prevalence of Smoking was 51.3% (1,211). The prevalence of alcohol consumption within the past year was 19.3% (463), while inadequate fruit and vegetable intake was 76.2%. Physical inactivity was 97.2%. Additionally, hypertension and diabetes were 51% and 50.1% respectively. Participants (≥35 years) were likely to have low fruit and vegetable intake (aOR = 1.3; 95% CI: 0.99-1.62). Widows were 30% less likely to smoke (aOR = 0.72; 95% CI: 0.57-0.92), yet they were 1.4 times more likely to consume alcohol (aOR = 1.4; 95% CI: 0.99-1.84). Unemployed participants were found to have a higher likelihood of consuming alcohol (aOR = 1.3; 95% CI: 1.02-1.54).

Conclusion: The prevalence of behavioral risk factors for NCDs was found to be high among rural populations residing in Bushbuckridge, underscoring the need for sustained and comprehensive interventions. In rural areas like Bushbuckridge, the combination of poverty, unemployment, limited healthcare access, and evolving social dynamics creates a challenging environment that fosters unhealthy behaviors and increases the risk of NCDs. To effectively reduce the burden of these diseases in such communities, public health strategies must focus on socio-economic and cultural determinants, rather than just demographic factors.

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