Influencing factors for substandard physiques among residents aged 20-69 years in Anhui Province
CHEN Yao*, FAN Yinguang, LENG Ruixue, MAO Yanmei, LIAO Tao, YE Dongqing
*School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflamation and Immune Mediated Diseases Laboratory of Anhui Province; Anhui Institute of Sport Science
Abstract：Objective To analyze the influencing factors for the 20-69-year-old residents in Anhui Province with substandard physiques, so as to provide a basis for improving the physiques of population. Methods The 2014 physical fitness survey data of residents aged 20-69 years in Anhui Province were collected, including demographic information, physical exercise status and physical indicators ( height, weight, vital capacity, blood pressure and so on ). The physiques of residents was rated according to the "National Fitness Standards" ( 2003 edition ) . The multivariate logistic regression model was used to analyze the influencing factors for substandard physiques in different age groups. Results Among 39 803 residents recruited, 5 081 were rated as substandard physiques and the rate was 12.77%. The rates of substandard physiques in the residents aged 20-<40, 40-<60 and 60-69 years were 11.08%, 13.11% and 16.74%, respectively. The results of multivariate logistic regression analysis showed that age, gender, household registration, education level, occupation and time spent each exercise were the influencing factors for substandard physiques among the residents aged 20-<40 years ( P<0.05 ); age, household registration, education level, occupation and physical exercise were the influencing factors for substandard physiques among the residents aged 40-<60 years ( P<0.05 ); age, gender, education level, occupation, physical exercise and time spent each exercise were the influencing factors for substandard physiques among the residents aged 60-69 years ( P<0.05 ). Conclusions The residents aged 20-69 years in Anhui Province have higher rate of substandard physiques in the 2014 survey. Age, education level, occupation and physical exercise may affect physical fitness and vary in different age groups, thus interventions should be carried out according to age.
