Predictors of metabolic syndrome among teachers in under-resourced schools in South Africa: Baseline findings from the KaziHealth workplace health intervention.

PLOS global public health Pub Date : 2025-06-06 eCollection Date: 2025-01-01 DOI:10.1371/journal.pgph.0004681
Nandi Joubert, Larissa Adams, Jan Hattendorf, Jan Degen, Danielle Dolley, Annelie Gresse, Ivan Müller, Siphesihle Nqweniso, Nicole Probst-Hensch, Harald Seelig, Peter Steinmann, Rosa du Randt, Uwe Pühse, Jürg Utzinger, Markus Gerber, Cheryl Walter
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引用次数: 0

Abstract

Non-communicable diseases (NCDs) account for most of global deaths, with rising prevalence in low-and middle-income countries. Metabolic syndrome (MetS) is a cluster of interrelated NCD risk factors, including obesity, dyslipidaemia, hypertension, and hyperglycaemia, that amplify NCD risk. Four leading modifiable factors driving NCDs are physical inactivity, tobacco and alcohol use, and an unhealthy diet. Teachers in under-resourced schools face significant health challenges, with their wellbeing often overlooked in South Africa. The prevalence and severity of MetS, adherence to physical activity guidelines, and associations with modifiable NCD risk factors were assessed. This study, part of the 'KaziBantu: Healthy Schools for Healthy Communities' project, included 168 teachers (aged 21-72, mean = 47 years) from 8 under-resourced schools in Gqeberha, South Africa. Data collection included MetS markers, device-measured physical activity, tobacco and alcohol use, and total fat, saturated fat, sugar, and sodium intake. Covariates included age, sex, race, education, and household income. MetS was observed in 58% of participants, with central obesity (79%) being the most prevalent component, followed by hypertension (59%). The largest proportion of participants (26%) had 3 MetS components, followed by 4 components (20%), while 12% had all 5 components. Nearly half (44%) of teachers were physically inactive and 53% exceeded total fat intake recommendations. Bayesian multilevel logistic regression revealed key predictors of MetS: age (per year increase; odds ratio[OR]=1.15, 95% credible interval[CrI] [1.07, 1.24]) and high daily total fat intake (OR=3.37, 95%CrI [1.03, 11.96]) were positively associated, while hours spent in moderate-to-vigorous intensity physical activity per week (OR=0.73, 95%CrI [0.55, 0.95]) and higher monthly household income (OR=0.14, 95%CrI [0.02, 0.72]) were protective. Addressing physical inactivity and unhealthy diets through tailored interventions is crucial to reducing MetS prevalence and improving the health of teachers working in low-resourced settings. Effective solutions should empower healthier lifestyles while tackling structural barriers to health equity.

南非资源不足学校教师代谢综合征的预测因素:KaziHealth工作场所健康干预的基线结果
非传染性疾病占全球死亡人数的大部分,在低收入和中等收入国家的患病率不断上升。代谢综合征(MetS)是一组相互关联的非传染性疾病危险因素,包括肥胖、血脂异常、高血压和高血糖,都会增加非传染性疾病的风险。导致非传染性疾病的四个主要可改变因素是缺乏身体活动、吸烟和饮酒以及不健康的饮食。在南非,资源不足学校的教师面临着重大的健康挑战,他们的福祉往往被忽视。评估了MetS的患病率和严重程度、对体育活动指南的依从性以及与可改变的非传染性疾病危险因素的关联。这项研究是“KaziBantu:健康学校促进健康社区”项目的一部分,研究对象包括来自南非Gqeberha 8所资源不足学校的168名教师(年龄21-72岁,平均47岁)。数据收集包括MetS标记物、设备测量的身体活动、烟酒使用、总脂肪、饱和脂肪、糖和钠摄入量。协变量包括年龄、性别、种族、教育程度和家庭收入。在58%的参与者中观察到MetS,其中中心性肥胖(79%)是最普遍的成分,其次是高血压(59%)。最大比例的参与者(26%)有3个MetS成分,其次是4个成分(20%),而12%的参与者全部有5个成分。近一半(44%)的教师缺乏运动,53%的教师超过了建议的总脂肪摄入量。贝叶斯多水平logistic回归揭示了met的主要预测因素:年龄(年增长);优势比[OR]=1.15, 95%可信区间[CrI][1.07, 1.24])和每日总脂肪摄入量高(OR=3.37, 95%CrI[1.03, 11.96])呈正相关,而每周中等至高强度体力活动时间(OR=0.73, 95%CrI[0.55, 0.95])和较高的家庭月收入(OR=0.14, 95%CrI[0.02, 0.72])具有保护作用。通过量身定制的干预措施解决缺乏身体活动和不健康饮食问题,对于降低MetS患病率和改善在资源匮乏环境中工作的教师的健康至关重要。有效的解决办法应促进更健康的生活方式,同时消除卫生公平的结构性障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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