Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia.
Bentong Health Clinic, Bentong District Health Office, Ministy of Health Malaysia, Bentong, Pahang, Malaysia.
Sci Rep. 2022 Oct 4;12(1):16569. doi: 10.1038/s41598-022-20511-1.
This study aimed to investigate the association between socio-demographic factors and designated healthy lifestyle behaviours in a nationally-representative sample of Malaysian adults aged 18 years and above. Secondary data involving 7388 participants aged 18-96 years from the National Health and Morbidity Survey 2019, a national cross-sectional survey, was used in this study. A healthy lifestyle score (0-5 points) was calculated based on five modifiable lifestyle factors: non-smoker, body mass index < 25 kg/m, physically active, moderate (or less) alcohol intake, and daily consumption of ≥ 5 servings of fruits and vegetables. Associations between socio-demographic factors and healthy lifestyle behaviours were examined using multinomial logistic regression adjusted for sampling design. About 30.6% of the participants met at least four out of the five healthy lifestyle factors. In multinomial model, subjects who were female (aOR = 3.26, 95%CI = 2.58, 4.12), of Chinese (aOR = 2.31, 95%CI = 1.62, 3.30 or other ethnicity (aOR = 1.44, 95%CI = 1.05, 1.98), and aged 18-30 years (aOR = 1.74, 95% CI = 1.12, 2.71) showed significant association with achieving healthy lifestyle compared to male, Malay and ≥ 61 years old as reference categories. Our results indicated that gender, age and ethnicity associated with healthy lifestyle behaviours. Information on the influence of socio-demographic factors on the prevalence of healthy lifestyles will facilitate the development of effective intervention strategies to improve the adaptation of healthy lifestyle practices.
本研究旨在调查在马来西亚成年人中,社会人口因素与指定的健康生活方式行为之间的关联。本研究使用了 2019 年全国健康和发病率调查(一项全国性的横断面调查)中涉及 7388 名 18-96 岁参与者的二级数据。根据五个可改变的生活方式因素计算健康生活方式评分(0-5 分):不吸烟者、体重指数<25kg/m2、身体活跃、适量(或更少)饮酒和每天食用≥5 份水果和蔬菜。使用调整了抽样设计的多项逻辑回归来检查社会人口因素与健康生活方式行为之间的关联。大约 30.6%的参与者至少符合五个健康生活方式因素中的四个。在多项模型中,女性(aOR=3.26,95%CI=2.58,4.12)、华族(aOR=2.31,95%CI=1.62,3.30)或其他族裔(aOR=1.44,95%CI=1.05,1.98)以及 18-30 岁(aOR=1.74,95%CI=1.12,2.71)的参与者与实现健康生活方式呈显著关联,而男性、马来族和≥61 岁的参与者为参考类别。我们的结果表明,性别、年龄和族裔与健康生活方式行为相关。关于社会人口因素对健康生活方式流行率的影响的信息将有助于制定有效的干预策略,以提高健康生活方式实践的适应性。