1.Health literacy promotion strategies for the elderly: a review
HOU Rui ; WEI Yingqi ; FANG Kai ; XIE Jin
Journal of Preventive Medicine 2025;37(2):154-157
Abstract
The health literacy level among the elderly in China remains at a low level. The 14th Five-Year Plan for Healthy Aging clearly points out that health literacy promotion projects should be implemented to improve the health literacy level among the elderly. The health literacy promotion strategies for the elderly require individual, social, policy and environmental supports. This article reviewed four types of health literacy promotion strategies for the elderly, including social strategies, lecture-based health education strategies, new media-based health communication strategies and environmental strategies. It also proposed that health education institutions, communities and other parties should work together, take advantage of digital technology and internet, and take various measures simultaneously to improve the health literacy of the elderly.
2.Current situation of e-cigarettes and its relationship with smoking and smoking cessation among residents aged 18-65 in Beijing
Bo JIANG ; Aijuan MA ; Jin XIE ; Chen XIE ; Xueyu HAN ; Li NIE ; Yingqi WEI ; Kai FANG ; Jing DONG ; Yue ZHAO ; Zhong DONG
Chinese Journal of Epidemiology 2025;46(4):638-645
Objective:To understand the usage situation of e-cigarettes among residents aged 18-65 in Beijing, explore the relationship between e-cigarette use and cigarette smoking as well as smoking cessation behaviors, and provide scientific support for the developing and improving policies and measures related to e-cigarettes.Methods:Using 19 684 residents data from the Beijing Non-communication Chronic Disease and Risk Factors Surveillance in 2022, complex sampling weighted methods were used to estimate proportions, and complex sampling logistic regression analysis was applied to explore the relationship between e-cigarette use, cigarette smoking, and smoking cessation.Results:Among all study participants, the proportion of those who had ever used e-cigarettes was 3.36%, with the current e-cigarette use at 1.26%. The proportion of current e-cigarette users (1.87%) and the former e-cigarette users (3.47%) were higher ( χ2=64.70, P<0.001) among males compared to females (0.60% and 0.64% respectively). The top three reasons for using e-cigarettes were wanting to quit smoking, perceiving e-cigarettes as less harmful, and enjoying the flavors of e-cigarettes. 83.54% of e-cigarette users started with cigarettes. The results of the complex sampling multivariable logistic regression analysis showed that current smoking ( OR=61.35, 95% CI: 36.98-101.76) and former smoking ( OR=31.20, 95% CI: 15.52-62.71) were positively associated with e-cigarette, while current e-cigarette use ( OR=0.13, 95% CI: 0.04-0.39) was negatively associated with quitting cigarette smoking. Conclusions:The proportion of e-cigarette use in Beijing was relatively low. E-cigarette use was associated with cigarette use and was not conducive to smoking cessation. Therefore, stronger regulatory measures and health education campaigns regarding the risks of e-cigarettes should be implemented.
3.Trends in the prevalence and patterns of cardiometabolic multimorbidity in Beijing, 2005—2022
Aijuan MA ; Gang LI ; Jiayu WANG ; Chen XIE ; Bo JIANG ; Li NIE ; Yingqi WEI ; Kai FANG ; Jin XIE ; Zhong DONG ; Jun LYU ; Liming LI
Chinese Journal of Endocrinology and Metabolism 2025;41(7):561-569
Objective:To analyze the prevalence trends and epidemiological characteristics of cardiometabolic multimorbidity(CMM) in Beijing from 2005 to 2022.Methods:A series of representative cross-sectional surveys were conducted in Beijing between 2005 and 2022 using a stratified multistage cluster random sampling method. A total of 110 496 permanent residents aged 18-79 years participated in face-to-face interviews, physical examinations, and laboratory testing. Complex sampling logistic regression models were employed to identify factors associated with CMM, and Joinpoint regression was used to assess temporal trends in prevalence. Results:The prevalence of CMM was 22.3% in 2005 and 24.3% in 2022, with an average annual percent change of 0.1%(95% CI -1.3%-1.3%, P>0.05). In rural areas, the prevalence increased by 1.3% per year(95% CI 0.2%-2.6%, P<0.05), while among obese individuals, it decreased by 1.0% annually( P<0.05). The most common CMM patterns were hypertension combined with dyslipidemia(13.2%), hypertension combined with diabetes(7.0%), and diabetes combined with dyslipidemia(5.8%). The prevalence of hypertension and dyslipidemia comorbidity showed a long-term decline among females, those aged 60-79 and obese individuals( P<0.05). In contrast, the prevalence of hypertension and diabetes comorbidity increased over time in rural residents and individuals with normal body weight( P<0.05). Furthermore, diabetes and dyslipidemia comorbidity rates increased significantly among males, adults aged 18-59 years, those with a college education or above, rural residents and individuals with normal body weight( P<0.05). Multivariable logistic regression indicated that male, older age, overweight, obese, and lower education level were independently associated with a higher risk of CMM( P<0.05). Conclusion:From 2005 to 2022, the prevalence of CMM remained high among adults in Beijing. While prevalence decreased among obese individuals, it increased significantly in rural areas. Hypertension combined with dyslipidemia was the most common multimorbidity pattern throughout the study period.
4.Current situation of e-cigarettes and its relationship with smoking and smoking cessation among residents aged 18-65 in Beijing
Bo JIANG ; Aijuan MA ; Jin XIE ; Chen XIE ; Xueyu HAN ; Li NIE ; Yingqi WEI ; Kai FANG ; Jing DONG ; Yue ZHAO ; Zhong DONG
Chinese Journal of Epidemiology 2025;46(4):638-645
Objective:To understand the usage situation of e-cigarettes among residents aged 18-65 in Beijing, explore the relationship between e-cigarette use and cigarette smoking as well as smoking cessation behaviors, and provide scientific support for the developing and improving policies and measures related to e-cigarettes.Methods:Using 19 684 residents data from the Beijing Non-communication Chronic Disease and Risk Factors Surveillance in 2022, complex sampling weighted methods were used to estimate proportions, and complex sampling logistic regression analysis was applied to explore the relationship between e-cigarette use, cigarette smoking, and smoking cessation.Results:Among all study participants, the proportion of those who had ever used e-cigarettes was 3.36%, with the current e-cigarette use at 1.26%. The proportion of current e-cigarette users (1.87%) and the former e-cigarette users (3.47%) were higher ( χ2=64.70, P<0.001) among males compared to females (0.60% and 0.64% respectively). The top three reasons for using e-cigarettes were wanting to quit smoking, perceiving e-cigarettes as less harmful, and enjoying the flavors of e-cigarettes. 83.54% of e-cigarette users started with cigarettes. The results of the complex sampling multivariable logistic regression analysis showed that current smoking ( OR=61.35, 95% CI: 36.98-101.76) and former smoking ( OR=31.20, 95% CI: 15.52-62.71) were positively associated with e-cigarette, while current e-cigarette use ( OR=0.13, 95% CI: 0.04-0.39) was negatively associated with quitting cigarette smoking. Conclusions:The proportion of e-cigarette use in Beijing was relatively low. E-cigarette use was associated with cigarette use and was not conducive to smoking cessation. Therefore, stronger regulatory measures and health education campaigns regarding the risks of e-cigarettes should be implemented.
5.Trends in the prevalence and patterns of cardiometabolic multimorbidity in Beijing, 2005—2022
Aijuan MA ; Gang LI ; Jiayu WANG ; Chen XIE ; Bo JIANG ; Li NIE ; Yingqi WEI ; Kai FANG ; Jin XIE ; Zhong DONG ; Jun LYU ; Liming LI
Chinese Journal of Endocrinology and Metabolism 2025;41(7):561-569
Objective:To analyze the prevalence trends and epidemiological characteristics of cardiometabolic multimorbidity(CMM) in Beijing from 2005 to 2022.Methods:A series of representative cross-sectional surveys were conducted in Beijing between 2005 and 2022 using a stratified multistage cluster random sampling method. A total of 110 496 permanent residents aged 18-79 years participated in face-to-face interviews, physical examinations, and laboratory testing. Complex sampling logistic regression models were employed to identify factors associated with CMM, and Joinpoint regression was used to assess temporal trends in prevalence. Results:The prevalence of CMM was 22.3% in 2005 and 24.3% in 2022, with an average annual percent change of 0.1%(95% CI -1.3%-1.3%, P>0.05). In rural areas, the prevalence increased by 1.3% per year(95% CI 0.2%-2.6%, P<0.05), while among obese individuals, it decreased by 1.0% annually( P<0.05). The most common CMM patterns were hypertension combined with dyslipidemia(13.2%), hypertension combined with diabetes(7.0%), and diabetes combined with dyslipidemia(5.8%). The prevalence of hypertension and dyslipidemia comorbidity showed a long-term decline among females, those aged 60-79 and obese individuals( P<0.05). In contrast, the prevalence of hypertension and diabetes comorbidity increased over time in rural residents and individuals with normal body weight( P<0.05). Furthermore, diabetes and dyslipidemia comorbidity rates increased significantly among males, adults aged 18-59 years, those with a college education or above, rural residents and individuals with normal body weight( P<0.05). Multivariable logistic regression indicated that male, older age, overweight, obese, and lower education level were independently associated with a higher risk of CMM( P<0.05). Conclusion:From 2005 to 2022, the prevalence of CMM remained high among adults in Beijing. While prevalence decreased among obese individuals, it increased significantly in rural areas. Hypertension combined with dyslipidemia was the most common multimorbidity pattern throughout the study period.
6.Prevalence of decreased estimated glomerular filtration and risk factors among middle-aged and elderly residents in Beijing
Aijuan MA ; Chen XIE ; Bo JIANG ; Kai FANG ; Yingqi WEI ; Jing DONG ; Jin XIE ; Zhong DONG
Chinese Journal of General Practitioners 2020;19(9):818-823
Objective:To investigate the prevalence of estimated glomerular filtration (eGFR) and risk factors among middle-aged and elderly residents in Beijing.Methods:In August-December of 2017, 6 549 residents aged 45-79 years old were randomly selected in the study by stratified multi-stage cluster sampling method. The investigation was performed by questionnaire, physical examination and laboratory tests. The contents of questionnaire included the demographic characteristic and prevalence of chronic disease. Blood pressure was tested. Fasting venous blood was collected to test the level of total cholesterol (TC), high density lipoprotein cholesterol (HLDL), low density lipoprotein cholesterol (LDL), triglyceride (TG), fasting blood-glucose (FBG), blood creatinine (Cr) and serum uric acid (UA). The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation was used to estimate GFR(eGFR). The decreased GFR was defined as eGFR less than 60 ml/min per 1.73 m 2. The statistical software SPSS 20.0 was used for analysis. The general linear model, test of independence of rows and columns, logistic regression for complex samples were generalized. The weighted mean and weighted rate were analyzed. Results:The average level of eGFR was (100.51±0.54) ml/min per 1.73 m 2. The rate of decreased GFR was 1.28%, and it showed a higher rate in subjects aged 70-79 years-old, living in urban area, with history of cardiovascular disease, hypertension, diabetes mellitus, hyperuricemia (4.53%, 1.57%, 2.90%, 2.27%, 2.12% and 4.62%; F=30.827, 10.588, 11.466, 34.693, 6.788,51.643, all P<0.05) . Logistic regression analysis of complex sampling showed that 70-79 years old ( OR=4.435, 95 %CI:2.402-8.191), living in urban area ( OR=3.145, 95 %CI: 1.540-6.420), hypertension ( OR=4.663, 95 %CI:2.177-9.988), hyperuricemia ( OR=6.751, 95 %CI:3.363-13.553) were associated with decreased GFR (all P<0.05). Conclusion:The prevalence of the decreased eGFR among middle-aged and elderly residents in Beijing is higher than the average level in the eastern part of China. Hypertension, hyperuricemia, the old age and living in urban are risk factors of decreased GFR.
7.Comprehensive control rate and related factros of diabetes mellitus in Beijing
Aijuan MA ; Jing DONG ; Yingqi WEI ; Kai FANG ; Chen XIE ; Bo JIANG ; Zhong DONG
Chinese Journal of Preventive Medicine 2020;54(11):1283-1288
Objective:To investigate the comprehensive control situation and related factors of diabetes mellitus.Methods:From August to December of 2017, 13 259 residents aged 18 to 79 years old were randomly selected as the subjects by stratified multi-stage cluster sampling method. Questionnaire, physical examination and laboratory tests were conducted. The effective sample size was 13 240. A total of 1 592 diabetes patients were found. In this study, 917 diabetes patients who had been diagnosed before the investigation were selected as subjects. The comprehensive control of diabetes patients was analyzed. The situation of diabetes patients with hypertension, dyslipidemia, overweight and obesity, coronary heart diseases was analyzed. Logistic regression analysis of complex sampling was used to analyze the related factors of diabetes comprehensive control.Results:The average age of 917 patients with diabetes was (58.5±0.7) years old. The proportion of people who participated in diabetes follow-up management was 29.0%. There were 89.5% diabetes patients with one or more chronic diseases. The comprehensive control rate of diabetes mellitus was 2.0%, men and women were 1.8% and 2.3%, respectively ( P>0.05). The rate of comprehensive control among those diabetes patients with chronic diseases was 0.4%, lower than that of those without chronic diseases (15.6%, P<0.05). The comprehensive control rate of people who participated in diabetes follow-up management was 1.4%. The control rate of blood glucose, blood pressure, blood lipid and weight of diabetes mellitus was 30.9%, 30.2%, 17.4% and 27.7%, respectively. Logistic regression analysis of complex sampling showed that excessive intake of red meat, with chronic diseases and qualified core knowledge were all related with comprehensive control of diabetes mellitus, OR value was 31.41, 39.98 and 0.29, P<0.05. Conclusion:The comprehensive control rate of diabetes mellitus was low. Excessive intake of red meat, with chronic diseases and qualified core knowledge were all related with comprehensive control of diabetes mellitus.
8.Comprehensive control rate and related factros of diabetes mellitus in Beijing
Aijuan MA ; Jing DONG ; Yingqi WEI ; Kai FANG ; Chen XIE ; Bo JIANG ; Zhong DONG
Chinese Journal of Preventive Medicine 2020;54(11):1283-1288
Objective:To investigate the comprehensive control situation and related factors of diabetes mellitus.Methods:From August to December of 2017, 13 259 residents aged 18 to 79 years old were randomly selected as the subjects by stratified multi-stage cluster sampling method. Questionnaire, physical examination and laboratory tests were conducted. The effective sample size was 13 240. A total of 1 592 diabetes patients were found. In this study, 917 diabetes patients who had been diagnosed before the investigation were selected as subjects. The comprehensive control of diabetes patients was analyzed. The situation of diabetes patients with hypertension, dyslipidemia, overweight and obesity, coronary heart diseases was analyzed. Logistic regression analysis of complex sampling was used to analyze the related factors of diabetes comprehensive control.Results:The average age of 917 patients with diabetes was (58.5±0.7) years old. The proportion of people who participated in diabetes follow-up management was 29.0%. There were 89.5% diabetes patients with one or more chronic diseases. The comprehensive control rate of diabetes mellitus was 2.0%, men and women were 1.8% and 2.3%, respectively ( P>0.05). The rate of comprehensive control among those diabetes patients with chronic diseases was 0.4%, lower than that of those without chronic diseases (15.6%, P<0.05). The comprehensive control rate of people who participated in diabetes follow-up management was 1.4%. The control rate of blood glucose, blood pressure, blood lipid and weight of diabetes mellitus was 30.9%, 30.2%, 17.4% and 27.7%, respectively. Logistic regression analysis of complex sampling showed that excessive intake of red meat, with chronic diseases and qualified core knowledge were all related with comprehensive control of diabetes mellitus, OR value was 31.41, 39.98 and 0.29, P<0.05. Conclusion:The comprehensive control rate of diabetes mellitus was low. Excessive intake of red meat, with chronic diseases and qualified core knowledge were all related with comprehensive control of diabetes mellitus.
9.Study on intention of smoking concession, awareness of smoking hazards and impact on smoking status in residents aged 18-65 years in Beijing
Bo JIANG ; Aijuan MA ; Chen XIE ; Yingqi WEI ; Kai FANG ; Jing DONG ; Jin XIE ; Kun QI ; Ying ZHOU ; Yue ZHAO ; Suolei ZHANG ; Zhong DONG
Chinese Journal of Epidemiology 2020;41(7):1058-1062
Objective:To understand the awareness of smoking hazards and intention of smoking concession in residents aged 18-65 years in Beijing, and provide scientific evidence for the development and improvement of tobacco control policies and measures.Methods:Data were collected from the 2017 Beijing Non-communicable and Chronic Disease surveillance. A multi-stage stratified cluster sampling method was used to take samples from 165 communities in 16 districts of Beijing. Logistic regression was used to analyze the influencing factors.Results:Among 11 594 participants, 49.93% had no intention of smoking concession. The percentage of refusing smoking concession was higher in men (50.39%) than in women (43.01%), the difference was significant ( χ2=14.211, P=0.002), and higher in suburban residents (56.78%) than in urban residents (45.30%), the difference was significant ( χ2=51.977, P<0.001). For the smoking cessation motivation, "illness" was the reason for more former smokers (29.88%) compared with current smokers (11.50%), the difference was significant ( χ2=85.865, P<0.001). The awareness rates of smoking hazards was higher in women (34.97%) than in men (32.63%), the difference was significant ( Z=5.612, P<0.001), higher in suburban residents (35.44%) than in urban residents (33.03%), the difference was significant ( Z=-3.734, P<0.001), and higher in never smokers (35.15%) than in smokers (30.06%), the difference was significant ( χ2=62.277, P=0.005). Multiple logistic regression analysis results showed people with general awareness ( OR=0.61, 95 %CI: 0.39-0.94) and poor awareness ( OR=0.67, 95 %CI: 0.50-0.90) of smoking hazards were less likely to quit smoking and people with general awareness ( OR=0.64, 95 %CI: 0.53-0.76) and poor awareness ( OR=0.87, 95 %CI: 0.78-0.98) of smoking hazards were more likely to smoke. Conclusions:Smokers aged 18-65 in Beijing had low willingness for smoking cessation. Health problem was main consideration for smoking cessation. Never-smokers had better awareness of smoking hazards than smokers, and the awareness of smoking hazards was an influencing factor of smoking status.
10.Study on the relationship between sleep-related problems and dyslipidemia among adults in Beijing
Aijuan MA ; Kai FANG ; Yingqi WEI ; Bo JIANG ; Jing DONG ; Chen XIE ; Zhong DONG
Chinese Journal of Epidemiology 2020;41(8):1250-1255
Objective:To investigate the status quo of sleelated problems and relationship with dyslipidemia among adults in Beijing.Methods:From August to December 2017, 13 188 residents aged 18-79 years old were randomly selected as the subjects of this study, by stratified multi-stage cluster sampling method. Questionnaire, physical examination and laboratory testing were used in this study. The questionnaire included demographic characteristics and status quo of sleep. Height and weight were measured, with fasting venous blood collected to test the levels of TC, HDL-C, LDL-C and TG.Results:In Beijing, 52.1% of the adults involved in this study were having sleep-related problems which appeared higher in patients with dyslipidemia (55.1%) than those without (50.7%). Rates of sleep-related problems as snoring, difficult to get into sleep, waking at night, waking early and taking sleeping pills were 30.1%, 18.8%, 24.6%, 20.1% and 3.0%, respectively. The prevalence rates of high TC, high TG and high LDL-C were 7.5%, 23.5% and 6.6%, respectively among subjects with snoring and as, 5.7%, 15.5% and 4.9%, respectively among those without. The average level of TC of people easy to wake at night was 4.74 mmol/L, higher than that of those without (4.66 mmol/L). The prevalence of high TC among those waking at night was 7.5%, higher than that of those without (5.8%). After controlling potential confounding factors as age, sex, smoking, overweight and obesity, snoring was significantly positively correlated to the levels of TC, TG and LDL-C ( P<0.05) and presenting as risk factor for dyslipidemia, with OR=1.248 ( P<0.05). Conclusion:Sleep-related problems appeared serious, with snoring and waking at night the main ones among adults in Beijing. Snoring was significantly positively correlated with the levels of TC, TG and LDL-C and served an independent risk factor for dyslipidemia.


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