Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
BMC Public Health. 2020 Oct 28;20(1):1624. doi: 10.1186/s12889-020-09726-x.
Recent surveys revealed that the health status of many people from Hong Kong is far from ideal. Although non-communicable diseases are largely preventable, few relevant health promotion and disease prevention programs are available. Thus, we assessed the health indicators of Chinese adults in Hong Kong to investigate the relationship between obesity, common chronic diseases, and health-promoting lifestyle profiles to provide inspirations for decision makers in formulating targeted disease prevention and health management programs.
This is a secondary analysis of a data set of 270 community-dwelling Hong Kong adults who were within the eligible age range between 18 and 80 years without eye diseases that affect retinal photographs. The study exposure variable, health-promoting lifestyle profiles, was measured using the Health-Promoting Lifestyle Profile II (HPLP-II) questionnaire. The primary outcome variable, obesity, was defined using body mass index and waist-hip ratio. The secondary study outcome, estimated chronic diseases, including of anemia, chronic kidney disease, and cardiovascular disease, were estimated using automatic retinal image analysis from the retinal images. Data were analyzed using tests of proportion, the independent sample t-tests, Welch's t-test, and binary logistic regression models.
All HPLP-II subscales had positive responses (≥ 2.5). Significant differences were noted between men and women in the health responsibility and nutrition subscales (Health Responsibility: p = 0.059; Nutrition: p = 0.067). Regression models revealed that nutrition (adjusted odds ratio [AOR] = 0.41; p = 0.017), physical activity (AOR = 0.50; p = 0.015), interpersonal relations (AOR = 2.14; p = 0.016), and stress management (AOR = 2.07; p 0.038) were associated with obesity; while spiritual growth (AOR = 0.24; p = 0.077) and interpersonal relations (AOR = 5.06; p 0.069) were associated with estimated chronic kidney disease.
Improving health behaviors may control or alleviate the prevalence of obesity and chronic kidney disease. These findings could arouse concern about lifestyle behaviors and promote self-assessment of health-promoting lifestyles to the general public. The study also provided new insights into the relationship between the HPLP-II and other common chronic diseases that warrant further study.
最近的调查显示,许多香港人的健康状况远不理想。尽管非传染性疾病在很大程度上是可以预防的,但相关的健康促进和疾病预防计划却很少。因此,我们评估了香港成年中国人的健康指标,以调查肥胖、常见慢性病与促进健康生活方式之间的关系,为决策者制定有针对性的疾病预防和健康管理计划提供启示。
这是对一个包含 270 名年龄在 18 至 80 岁之间、无眼部疾病影响视网膜照片的社区居民的香港成年人的数据集进行的二次分析。研究的暴露变量为健康促进生活方式特征,使用健康促进生活方式特征 II(HPLP-II)问卷进行测量。主要研究结果变量肥胖,用体重指数和腰臀比来定义。次要研究结果,包括贫血、慢性肾脏病和心血管疾病的估计慢性疾病,是通过对视网膜图像进行自动视网膜图像分析来估计的。使用比例检验、独立样本 t 检验、Welch t 检验和二项逻辑回归模型对数据进行分析。
所有 HPLP-II 分量表的回答均为阳性(≥2.5)。男性和女性在健康责任和营养分量表上有显著差异(健康责任:p=0.059;营养:p=0.067)。回归模型显示,营养(调整后的优势比[OR] = 0.41;p=0.017)、身体活动(OR=0.50;p=0.015)、人际关系(OR=2.14;p=0.016)和压力管理(OR=2.07;p=0.038)与肥胖有关;而精神成长(OR=0.24;p=0.077)和人际关系(OR=5.06;p=0.069)与估计的慢性肾脏病有关。
改善健康行为可能有助于控制或减轻肥胖和慢性肾脏病的流行。这些发现可能会引起人们对生活方式行为的关注,并促进公众对促进健康生活方式的自我评估。该研究还为 HPLP-II 与其他常见慢性病之间的关系提供了新的见解,值得进一步研究。