The Multimorbidity and Lifestyle Correlates in Chinese Population Residing in Macau: Findings from a Community-Based Needs Assessment Study

Author:

Yang Qingling1ORCID,Zhang Quanzhi12,Ngai Fei Wan1,Wang Shaoling1ORCID,Zhang Dexing3,Gao Yang4ORCID,Hao Chun5,Wang Harry Haoxiang56ORCID,Nogueira Oi Ching Bernice Lam7,Liu Ming7,Molasiotis Alex8ORCID,Loke Alice1ORCID,Xie Yaojie1ORCID

Affiliation:

1. School of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China

2. School of Nursing, Harbin Medical University, Harbin 150088, China

3. The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China

4. Department of Sport, Physical Education, and Health, Hong Kong Baptist University, Hong Kong SAR, China

5. School of Public Health, Sun Yat-sen University, Guangzhou 510080, China

6. College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh EH8 9AG, UK

7. School of Health Sciences and Sports, Macao Polytechnic Institute, Macao 999078, China

8. Health and Social Care Research Centre, University of Derby, Derby DE22 1GB, UK

Abstract

Multimorbidity has become one of the most pressing public health concerns worldwide. The objectives of this study were to understand the prevalence of multimorbidity and its relationship with lifestyle factors among Chinese adults in Macau, and to investigate the combined contribution of common lifestyle factors in predicting multimorbidity. Data were collected through face-to-face interviews using a self-reported questionnaire on common chronic diseases, lifestyle factors and sociodemographics. BMI, physical activity, drinking status, smoking status and sleep quality were assessed, and a composite lifestyle score (0 to 9 points) was calculated, and the higher the score, the healthier the lifestyle. A total of 1443 participants were included in the analysis, of whom 55.2% were female, 51.8% were middle aged or elderly and 30.5% completed tertiary education or higher. The prevalence of multimorbidity was 10.3%. The combination of hypertension and hyperlipidaemia was the most common (22.2%) multimorbidity among the participants with multimorbidity. After the adjustment of the covariates, it was found that the participants who were overweight (OR: 1.95, 95% CI: 1.18–3.20, p = 0.009) or obese (OR: 3.76, 95% CI: 2.38–5.96, p < 0.001), former drinkers (OR: 2.43, 95% CI: 1.26–4.69, p = 0.008), and those who reported poor sleep quality (OR: 2.25, 95% CI: 1.49–3.40, p < 0.001) had a high risk of developing multimorbidity. A one-unit increase in the lifestyle score was associated with a 0.33-times reduction in the risk of developing multimorbidity (OR: 0.67; 95% CI: 0.59–0.77, p < 0.001). A combination of lifestyle factors can influence a variety of multimorbidity among the Chinese adults in Macau. Thus, comprehensively assessing the combined contribution of several lifestyle factors in predicting multimorbidity is important.

Funder

Macau Galaxy Entertainment Foundation

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

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