Background:Existing evidence suggests that fruit consumption is a significant influencing factor for chronic obstructive pulmonary disease(COPD),but this is unclear in the Chinese population.We examined the associatio...Background:Existing evidence suggests that fruit consumption is a significant influencing factor for chronic obstructive pulmonary disease(COPD),but this is unclear in the Chinese population.We examined the association of fresh fruit consumption with the risk of COPD-related hospitalization and death in a nationwide,population-based prospective cohort from China.Methods:Between 2004 and 2008,the China Kadoorie Biobank recruited>0.5 million adults aged 30 to 79 years from ten diverse regions across China.After excluding individuals diagnosed with major chronic diseases and prevalent COPD,the prospective analysis included 421,428 participants.Cox regression was used to calculate the hazard ratios(HRs)for the association between fresh fruit consumption and risk of COPD-related hospitalization and death,with adjustment for established and potential confounders.Results:During a mean follow-up of 10.9 years,11,292 COPD hospitalization events and deaths were documented,with an overall incidence rate of 2.47/1000 person-years.Participants who consumed fresh fruit daily had a 22%lower risk of COPD-related hospitalization and death compared with non-consumers(HR=0.78,95%confidence interval[CI]:0.71-0.87).The inverse association between fresh fruit consumption and COPD-related hospitalization and death was stronger among non-current smokers and participants with normal body mass index(BMI)(18.5 kg/m^(2)≤BMI<24.0 kg/m^(2));the corresponding HRs for daily fresh fruit consumption were 0.78(95%CI:0.68-0.89)and 0.69(95%CI:0.59-0.79)compared with their counterparts,respectively.Conclusions:High-frequency fruit consumption was associated with a lower risk of COPD in Chinese adults.Increasing fruit consumption,together with cigarette cessation and weight control,should be considered in the prevention and management of COPD.展开更多
Background:At present,a large number of chronic obstructive pulmonary disease(COPD)patients are undiagnosed in China.Thus,this study aimed to develop a simple prediction model as a screening tool to identify patients ...Background:At present,a large number of chronic obstructive pulmonary disease(COPD)patients are undiagnosed in China.Thus,this study aimed to develop a simple prediction model as a screening tool to identify patients at risk for COPD.Methods:The study was based on the data of 22,943 subjects aged 30 to 79 years and enrolled in the second resurvey of China Kadoorie Biobank during 2012 and 2013 in China.We stepwisely selected the predictors using logistic regression model.Then we tested the model validity through P-P graph,area under the receiver operating characteristic curve(AUROC),ten-fold cross validation and an external validation in a sample of 3492 individuals from the Enjoying Breathing Program in China.Results:The final prediction model involved 14 independent variables,including age,sex,location(urban/rural),region,educational background,smoking status,smoking amount(pack-years),years of exposure to air pollution by cooking fuel,family history of COPD,history of tuberculosis,body mass index,shortness of breath,sputum and wheeze.The model showed an area under curve(AUC)of 0.72(95%confidence interval[CI]:0.72-0.73)for detecting undiagnosed COPD patients,with the cutoff of predicted probability of COPD=0.22,presenting a sensitivity of 70.13%and a specificity of 62.25%.The AUROC value for screening undiagnosed patients with clinically significant COPD was 0.68(95%CI:0.66-0.69).Moreover,the ten-fold cross validation reported an AUC of 0.72(95%CI:0.71-0.73),and the external validation presented an AUC of 0.69(95%CI:0.68-0.71).Conclusion:This prediction model can serve as a first-stage screening tool for undiagnosed COPD patients in primary care settings.展开更多
基金supported by grants from the National Key Research&Development Program of China(Nos.2016YFC0900500,2016YFC0900501,2016YFC0900504,and 2016YFC1303904)National Natural Science Foundation of China(Nos.81973125,81941018,91846303,and 91843302)
文摘Background:Existing evidence suggests that fruit consumption is a significant influencing factor for chronic obstructive pulmonary disease(COPD),but this is unclear in the Chinese population.We examined the association of fresh fruit consumption with the risk of COPD-related hospitalization and death in a nationwide,population-based prospective cohort from China.Methods:Between 2004 and 2008,the China Kadoorie Biobank recruited>0.5 million adults aged 30 to 79 years from ten diverse regions across China.After excluding individuals diagnosed with major chronic diseases and prevalent COPD,the prospective analysis included 421,428 participants.Cox regression was used to calculate the hazard ratios(HRs)for the association between fresh fruit consumption and risk of COPD-related hospitalization and death,with adjustment for established and potential confounders.Results:During a mean follow-up of 10.9 years,11,292 COPD hospitalization events and deaths were documented,with an overall incidence rate of 2.47/1000 person-years.Participants who consumed fresh fruit daily had a 22%lower risk of COPD-related hospitalization and death compared with non-consumers(HR=0.78,95%confidence interval[CI]:0.71-0.87).The inverse association between fresh fruit consumption and COPD-related hospitalization and death was stronger among non-current smokers and participants with normal body mass index(BMI)(18.5 kg/m^(2)≤BMI<24.0 kg/m^(2));the corresponding HRs for daily fresh fruit consumption were 0.78(95%CI:0.68-0.89)and 0.69(95%CI:0.59-0.79)compared with their counterparts,respectively.Conclusions:High-frequency fruit consumption was associated with a lower risk of COPD in Chinese adults.Increasing fruit consumption,together with cigarette cessation and weight control,should be considered in the prevention and management of COPD.
基金supported by the National Key Research&Development Program of China(Nos.2016YFC1303904 and 2016YFC0900500)National Natural Science Foundation of China(Nos.81941018,91846303,and 91843302)
文摘Background:At present,a large number of chronic obstructive pulmonary disease(COPD)patients are undiagnosed in China.Thus,this study aimed to develop a simple prediction model as a screening tool to identify patients at risk for COPD.Methods:The study was based on the data of 22,943 subjects aged 30 to 79 years and enrolled in the second resurvey of China Kadoorie Biobank during 2012 and 2013 in China.We stepwisely selected the predictors using logistic regression model.Then we tested the model validity through P-P graph,area under the receiver operating characteristic curve(AUROC),ten-fold cross validation and an external validation in a sample of 3492 individuals from the Enjoying Breathing Program in China.Results:The final prediction model involved 14 independent variables,including age,sex,location(urban/rural),region,educational background,smoking status,smoking amount(pack-years),years of exposure to air pollution by cooking fuel,family history of COPD,history of tuberculosis,body mass index,shortness of breath,sputum and wheeze.The model showed an area under curve(AUC)of 0.72(95%confidence interval[CI]:0.72-0.73)for detecting undiagnosed COPD patients,with the cutoff of predicted probability of COPD=0.22,presenting a sensitivity of 70.13%and a specificity of 62.25%.The AUROC value for screening undiagnosed patients with clinically significant COPD was 0.68(95%CI:0.66-0.69).Moreover,the ten-fold cross validation reported an AUC of 0.72(95%CI:0.71-0.73),and the external validation presented an AUC of 0.69(95%CI:0.68-0.71).Conclusion:This prediction model can serve as a first-stage screening tool for undiagnosed COPD patients in primary care settings.
