REN Sheng-nan, MA Ying, ZHANG Dong-mei, GAO Jian, CHEN Ren, QIN Xia, WEI Li, HU Zhi, CHEN Ruo-ling. The prevalence and influencing factors of angina in the elderly of five provinces in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2017, 21(2): 114-117. doi: 10.16462/j.cnki.zhjbkz.2017.02.003
Citation:
REN Sheng-nan, MA Ying, ZHANG Dong-mei, GAO Jian, CHEN Ren, QIN Xia, WEI Li, HU Zhi, CHEN Ruo-ling. The prevalence and influencing factors of angina in the elderly of five provinces in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2017, 21(2): 114-117. doi: 10.16462/j.cnki.zhjbkz.2017.02.003
REN Sheng-nan, MA Ying, ZHANG Dong-mei, GAO Jian, CHEN Ren, QIN Xia, WEI Li, HU Zhi, CHEN Ruo-ling. The prevalence and influencing factors of angina in the elderly of five provinces in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2017, 21(2): 114-117. doi: 10.16462/j.cnki.zhjbkz.2017.02.003
Citation:
REN Sheng-nan, MA Ying, ZHANG Dong-mei, GAO Jian, CHEN Ren, QIN Xia, WEI Li, HU Zhi, CHEN Ruo-ling. The prevalence and influencing factors of angina in the elderly of five provinces in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2017, 21(2): 114-117. doi: 10.16462/j.cnki.zhjbkz.2017.02.003
Objective To investigate the prevalence and influencing factors of angina in the elderly in China and provide the basis for prevention. Methods We randomly recruited a sample of 5 315 residents aged ≥60 years from Guangdong, Shanghai, Heilongjiang, Shanxi and Hubei provinces in China by multistage sampling. We examined each of participants and recorded Angina based on self-reported diagnosis of a physician. We also documented socio-demography and influencing factors. And the risk factors of angina were explored using univariate analysis and Logistic regression analysis.Results The prevalence of angina was 7.19%in the elderly of these five provinces. There were significant associations between angina and the following factors:being female, worker,teacher/servicemen/merchantmen,living in urban, with lower average household income(<10 000 Yuan/year),having serious economic hardship,smoker or ex-smoker,hypertension,hypercholesterolemia, diabetes and worrying about children (all P<0.05).Conclusions A high risk of angina was associated with female gender, worker or teacher/servicemen/merchantmen, living in urban, lower average household income, serious economic hardship, smoking, hypertension, hyperlipidemia, diabetes and worrying about children. We should take interventions against angina in the high-risk population.