OBJECTIVE: To explore the risk factors for chronic obstructive pulmonary disease (COPD) in females in Chinese rural areas. METHODS: Based on a national multi-center, population-based and cross-sectional survey on prevalence of COPD in seven provinces/cities of China, an analysis on the risk factors for the rural females was conducted in six areas, e.g. Beijing, Shanghai, Guangdong, Liaoning, Tianjin and Shanxi. In the national survey, for each area, one rural and one urban cluster samples were randomly selected using a multi-stage strategy. Residents who were 40 years old or older were interviewed with questionnaires and tested with spirometry. The post-bronchodilators forced expired volume in one second to forced vital capacity ratio (FEV(1)/FVC) x 100% < 70% was used as diagnostic criteria of COPD. RESULTS: The average prevalence of COPD in females in the six Chinese rural areas was 5.4%. The prevalence varied with risk factor exposure among different areas, and the prevalence in Guangdong province was the highest among all areas. Logistic regression model was conducted, and statistical association of COPD was found with a family history of respiratory diseases (OR = 2.46, 95% CI = 1.86 - 3.26), frequent coughing during childhood (frequent coughing vs never coughing: OR = 3.93, 95% CI = 2.02 - 7.63), lower body mass index (lower body mass index vs normal body mass index: OR = 2.20, 95% CI = 1.47 - 3.29), age (70 years or older vs 40 - 49 years: OR = 8.98, 95% CI = 5.90 - 13.67), smoking (OR = 1.68, 95% CI = 1.20 - 2.35), exposure to occupational dusts (OR = 1.45, 95% CI = 1.07 - 1.96), worse ventilation in kitchen room (OR = 1.47, 95% CI = 1.06 - 2.03) and lower educational level (OR = 2.19, 95% CI = 1.38 - 3.46). CONCLUSION: The prevalence of COPD in females in rural areas was associated with multiple factors and prevention of COPD for Chinese women in rural areas is warranted.
OBJECTIVE: To explore the risk factors for chronic obstructive pulmonary disease (COPD) in females in Chinese rural areas. METHODS: Based on a national multi-center, population-based and cross-sectional survey on prevalence of COPD in seven provinces/cities of China, an analysis on the risk factors for the rural females was conducted in six areas, e.g. Beijing, Shanghai, Guangdong, Liaoning, Tianjin and Shanxi. In the national survey, for each area, one rural and one urban cluster samples were randomly selected using a multi-stage strategy. Residents who were 40 years old or older were interviewed with questionnaires and tested with spirometry. The post-bronchodilators forced expired volume in one second to forced vital capacity ratio (FEV(1)/FVC) x 100% < 70% was used as diagnostic criteria of COPD. RESULTS: The average prevalence of COPD in females in the six Chinese rural areas was 5.4%. The prevalence varied with risk factor exposure among different areas, and the prevalence in Guangdong province was the highest among all areas. Logistic regression model was conducted, and statistical association of COPD was found with a family history of respiratory diseases (OR = 2.46, 95% CI = 1.86 - 3.26), frequent coughing during childhood (frequent coughing vs never coughing: OR = 3.93, 95% CI = 2.02 - 7.63), lower body mass index (lower body mass index vs normal body mass index: OR = 2.20, 95% CI = 1.47 - 3.29), age (70 years or older vs 40 - 49 years: OR = 8.98, 95% CI = 5.90 - 13.67), smoking (OR = 1.68, 95% CI = 1.20 - 2.35), exposure to occupational dusts (OR = 1.45, 95% CI = 1.07 - 1.96), worse ventilation in kitchen room (OR = 1.47, 95% CI = 1.06 - 2.03) and lower educational level (OR = 2.19, 95% CI = 1.38 - 3.46). CONCLUSION: The prevalence of COPD in females in rural areas was associated with multiple factors and prevention of COPD for Chinese women in rural areas is warranted.
Authors: Saeid Safiri; Kristin Carson-Chahhoud; Maryam Noori; Seyed Aria Nejadghaderi; Mark J M Sullman; Javad Ahmadian Heris; Khalil Ansarin; Mohammad Ali Mansournia; Gary S Collins; Ali-Asghar Kolahi; Jay S Kaufman Journal: BMJ Date: 2022-07-27
Authors: Lei Zhang; Peian Lou; Yanan Zhu; Peipei Chen; Pan Zhang; Jiaxi Yu; Ning Zhang; Na Chen; Hongmin Wu; Jing Zhao Journal: BMC Public Health Date: 2013-07-02 Impact factor: 3.295