Division of Non Communicable Diseases, Ministry of Health, Nairobi, Kenya.
The Institute of Global Health, Faculty of Medicine, University of Geneva (UNIGE), Geneva, Switzerland.
BMC Public Health. 2018 Nov 7;18(Suppl 3):1217. doi: 10.1186/s12889-018-6059-4.
Physical inactivity accounts for more than 3 million deaths worldwide, and is implicated in causing 6% of coronary heart diseases, 7% of diabetes, and 10% of colon or breast cancer. Globally, research has shown that modifying four commonly shared risky behaviours, including poor nutrition, tobacco use, harmful use of alcohol, and physical inactivity, can reduce occurrence of non-communicable diseases (NCDs). Risk factor surveillance through population-based periodic surveys, has been identified as an effective strategy to inform public health interventions in NCD control. The stepwise approach to surveillance (STEPS) survey is one such initiative, and Kenya carried out its first survey in 2015. This study sought to describe the physical inactivity risk factors from the findings of the Kenya STEPS survey.
This study employed countrywide representative survey administered between April and June 2015. A three stage cluster sampling design was used to select clusters, households and eligible individuals. All adults between 18 and 69 years in selected households were eligible. Data on demographic, behavioural, and biochemical characteristics were collected. Prevalence of physical inactivity was computed. Logistic regression used to explore factors associated with physical inactivity.
A total of 4500 individuals consented to participate from eligible 6000 households. The mean age was 40.5 (39.9-41.1) years, with 51.3% of the respondents being female. Overall 346 (7.7%) of respondents were classified as physically inactive. Physical inactivity was associated with female gender, middle age (30-49 years), and increasing level of education, increasing wealth index and low levels of High Density Lipoproteins (HDL).
A modest prevalence of physical inactivity slightly higher than in neighbouring countries was found in this study. Gender, age, education level and wealth index are evident areas that predict physical inactivity which can be focused on to develop programs that would work towards reducing physical inactivity among adults in Kenya.
全球范围内,缺乏身体活动导致超过 300 万人死亡,并与 6%的冠心病、7%的糖尿病和 10%的结肠癌或乳腺癌有关。全球范围内的研究表明,改变包括不良营养、烟草使用、有害使用酒精和缺乏身体活动在内的四种常见的共同危险行为,可以降低非传染性疾病(NCDs)的发生。通过基于人群的定期调查进行危险因素监测,已被确定为告知 NCD 控制中公共卫生干预措施的有效策略。逐步监测方法(STEPS)调查就是这样一项举措,肯尼亚于 2015 年进行了首次调查。本研究旨在描述肯尼亚 STEPS 调查结果中的身体活动不足危险因素。
本研究采用全国代表性调查,于 2015 年 4 月至 6 月进行。采用三阶段聚类抽样设计选择聚类、家庭和合格个体。所有年龄在 18 至 69 岁之间的合格家庭中的成年人都有资格参加。收集了人口统计学、行为和生化特征的数据。计算了身体活动不足的患病率。使用逻辑回归探讨了与身体活动不足相关的因素。
从合格的 6000 户家庭中,共有 4500 人同意参与。平均年龄为 40.5(39.9-41.1)岁,51.3%的受访者为女性。总体而言,346(7.7%)名受访者被归类为身体活动不足。身体活动不足与女性、中年(30-49 岁)以及受教育程度、财富指数和高密度脂蛋白(HDL)水平升高有关。
本研究发现,肯尼亚的身体活动不足患病率略高于邻国,处于中等水平。性别、年龄、教育水平和财富指数是明显的身体活动不足预测因素,可针对这些因素制定方案,以努力减少肯尼亚成年人的身体活动不足。