![]() 14 However, different dietary patterns varied widely over countries, races, and research methods. Recently, dietary patterns of the overall diet were occupied to assess the comprehensive effects of food or nutrients on human health, and they showed more effectively and precisely than traditional those. The traditional nutritional epidemiology researches generally explore relationships between one or several foods or nutrients and health outcomes. 11 Thus, dietary factors still play a key role in the process of developing obesity even though some previous findings were controversial over countries or populations. The root cause of obesity is that the body’s energy intake is greater than the body’s energy expenditure, resulting in excess energy being stored in the form of fat although lots of risk factors for obesity were explored and identified including genetics, diet, physical exercise, and psychological factors in previous studies. 10 Obesity-related NCDs brought a huge economic burden in China, and obesity and overweight accounted for 11.1% of deaths associated with NCDs in 2019. 9 In 2015, the prevalence of overweight and obesity among Chinese adults were 41.3% and 15.7%, respectively. 1–8 Over the last decades, the global prevalence of obesity has increased rapidly, approximately 11% of men and 15% of women were obese in the world. It may cause damage to the function of human organs and systems and ultimately lead to other chronic non-communicable diseases (NCDs) including cardiovascular disease, type 2 diabetes, dyslipidemia, chronic kidney disease, osteoarthritis, and cancer. Obesity is one of the important challenges in public health worldwide. Keywords: dietary patterns, obesity, cohort study, factor analysis, China ![]() The findings indicated that effective and targeted measures to improve dietary patterns need to be undertaken urgently in Southwest China. Also, subjects with the third quartile of the western pattern had significantly higher risk of incident obesity (aHR: 1.33, 95% CI: 1.01– 1.75) than those with the first quartile.Ĭonclusion: There was a high risk in incident obesity among Chinese community population of Southwest China and unhealthy diet significantly increased risk of developing obesity. After the adjustment for possible confounding factors, subjects with the third (aHR: 1.51, 95% CI: 1.14– 2.00) and the fourth quartile (aHR: 1.46, 95% CI: 1.10– 1.94) of junk food patterns had statistically increased risk of incident obesity compared to those with the first quartile. During the follow-up of 40,524.15 person years (PYs), the overall incidence rate of obesity was 10.54/1000PYs. Results: Among 5742 subjects, the average age was 45.06 ± 15.21 years old and more than half were women. Cox proportional hazard models stratified by physical activity were used to explore the association and estimate adjusted hazard ratio (aHR) and 95% confidence interval (CI). Four dietary patterns were identified using factor analysis. Demographic characteristics, lifestyle, history of chronic diseases, and dietary patterns measured by hundred-item food frequency questionnaires (FFQs) were collected at the baseline study. Patients and Methods: Totally, 5742 adult residents from Guizhou province were eligible for this analysis. This study aimed to explore associations between dietary patterns and incident obesity in a prospective community-population cohort in Southwest China. ![]() Purpose: Few studies have explored the associations between diet patterns and incident obesity in China. *These authors contributed equally to this workĬorrespondence: Chaowei Fu, School of Public Health Key Laboratory of Public Health Safety NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People’s Republic of China, Tel/Fax +86 21 33563933, Email Tao Liu, 1, * Xiulu Yang, 2, * Yanli Wu, 1 Min Chen, 1 Yu Yang, 2 Yun Chen, 2 Yiying Wang, 1 Jie Zhou, 1 Kelin Xu, 2 Na Wang, 2 Chaowei Fu 2ġGuizhou Center for Disease Control and Prevention, Guiyang, 550004, People’s Republic of China 2School of Public Health NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People’s Republic of China
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