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Li AL, Lyu J, Chen YY, Shao ZL, Li LM, Sun DJY, Yu CQ. [Physical activity and its influencing factors in patients with diabetes mellitus: a comparative study between China and the United Kingdom]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:171-177. [PMID: 38413053 DOI: 10.3760/cma.j.cn112338-20230828-00104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
Objective: To compare the differences in low-level physical activity (PA) and related influencing factors in patients with diabetes mellitus in China and the United Kingdom (UK). Methods: Using baseline survey data from the China Kadoorie Biobank and the UK Biobank, we analyzed the association between diabetes mellitus and low-level PA using logistic regression, with the participants' self-reported whether they had diabetes mellitus as the independent variable, and low-level PA as the dependent variable. Results: We included 509 254 Chinese adults and 359 763 British adults in the analysis. After adjusting for multiple factors, we found that both Chinese and British patients with diabetes mellitus were at elevated risk for low-level PA, with corresponding ORs (95%CIs) of 1.15 (1.12-1.19) and 1.37 (1.32-1.41), respectively. Patients with diabetes mellitus with longer disease duration and poorer glycemic control were at greater risk of having low-level of PA. Female, rural-distributed, employed, never-smoking Chinese diabetics, and male, urban-distributed, retired/unemployed, quit-smoking British diabetics were more likely to have low-level PA. Conclusions: Chinese and British patients with diabetes mellitus were more likely to have low-level PA compared with the general population, but the risk of low-level PA for patients in both countries varied by population characteristics. Therefore, PA guidelines and intervention measures should be based on the characteristics of individuals in the target countries and regions, which could improve PA levels among patients with diabetes mellitus.
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Affiliation(s)
- A L Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Y Y Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z L Shao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
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Hu JC, Ding YQ, Pang HY, Yu CQ, Sun DJY, Pei P, Du HD, Chen JS, Chen ZM, Zhu L, Lyu J, Li LM. [Prevalence of urinary incontinence in middle-aged and elderly adults in 10 areas in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:11-18. [PMID: 38228519 DOI: 10.3760/cma.j.cn112338-20230910-00144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Objective: To describe the population and area distribution differences in the prevalence of urinary incontinence in middle-aged and elderly adults in 10 areas in China. Methods: A total of 24 913 participants aged 45-95 years who completed the third resurvey of China Kadoorie Biobank during 2020-2021 were included. The prevalence of urinary incontinence was assessed by an interviewer-administered questionnaire, and urinary incontinence was classified as only stress urinary incontinence, only urgency urinary incontinence and mixed urinary incontinence. The prevalence of urinary incontinence and its subtypes were reported by sex, age and area, and the severity of urinary incontinence and treatment were described. Results: The average age of the participants was (65.4±9.1) years. According to the seventh national census data in 2020, the age-standardized prevalence rates of urinary incontinence was 25.4% in women and 7.0% in men. The age-standardized prevalence rates of only stress, only urgency and mixed incontinence were 1.7%, 4.2% and 1.2% in men and 13.5%, 5.8% and 6.1% in women, respectively. The prevalence rates of urinary incontinence and all subtypes in men and the prevalence of urinary incontinence and all subtypes except only stress urinary incontinence in women all increased with age (P<0.001). After adjusting for age, the prevalence of urinary incontinence in both men and women were higher in rural area than in urban area (P<0.001). The treatment rates in men and women with urinary incontinence were 15.4% and 8.5%, respectively. Conclusions: The prevalence of urinary incontinence was high in middle-aged and elderly adults in China, and the prevalence rate was higher in women than in men, but the treatment rate of urinary incontinence was low.
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Affiliation(s)
- J C Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Y Q Ding
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - H Y Pang
- Medical Science Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - H D Du
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, United Kingdom Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - L Zhu
- Department of Gynecology and Obstetrics, National Clinical Research Center for Obstetric and Gynecologic Diseases, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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3
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Sun D, Han YT, Lyu J, Li LM. [Current major public health challenges]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:1-10. [PMID: 38228518 DOI: 10.3760/cma.j.cn112338-20231115-00288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
After COVID-19 pandemic, there are still many public health challenges in the world. The double burden of communicable and non-communicable diseases is still heavy in many countries. Mental health and injury are crucial public health problems which are often neglected. Environmental health and food and drug safety are closely related to human health, to which further management and intervention are needed. These problems have different impacts on people at different life stages, resulting in health problems throughout the life course. The current status of public health is far from the requirements set by the Sustainable Development Goals of United Nations or the initiative of "Healthy China 2030". It is necessary for governments and related departments of all countries to consider public health in all policy development to tackle the major challenge to public health.
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Affiliation(s)
- D Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y T Han
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
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Yu W, Lan YB, Lyu J, Sun DJY, Pei P, Du HD, Chen JS, Chen ZM, Li LM, Yu CQ. [Epidemiological characteristics of preserved vegetable intake in adults in 10 areas of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:19-25. [PMID: 38228520 DOI: 10.3760/cma.j.cn112338-20230613-00370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Objective: To describe the epidemiological characteristics of intakes of different types of preserved vegetables in participants from the China Kadoorie Biobank (CKB). Methods: The CKB project conducted baseline survey, the first resurvey, and the second resurvey during 2004-2008, 2008, and 2013-2014, respectively. According to the average intake levels of salted and sour pickled vegetables in the second resurvey, the 10 survey areas were classified as the area where people mainly consumed salted vegetables, the area where people mainly consumed sour pickled vegetables, and the area where people rarely consumed preserved vegetables. For the first two areas, logistic regression model was used to describe the temporal trends and population distribution of preserved vegetable intake and analyze the distribution of other dietary factors. Results: The area where people mainly consumed salted vegetables included Qingdao, Harbin, Suzhou, and Zhejiang (baseline participant number: 204 036), while the area where people mainly consumed sour pickled vegetables included Gansu and Sichuan (baseline participant number: 105 573). In the area where people mainly consumed salted vegetables, the average intake frequencies of preserved vegetables was 3.1, 3.3, and 1.8 days/week in the baseline survey, the first resurvey, and the second resurvey, respectively, showing a declining trend (P<0.001). Similarly, the average intake frequencies of preserved vegetables were 2.8, 2.7, and 1.6 days/week in the baseline survey, the first resurvey and the second resurvey in the area where people mainly consumed sour pickled vegetables (P<0.001). At baseline survey, the married and those had lower education level tended to have more preserved vegetable intakes in both areas (P<0.001). In the area where people mainly consumed salted vegetables, the elderly had higher frequency of preserved vegetable intake (P<0.001), which was converse in the area where people mainly consumed sour pickled vegetables. In the participants with higher frequency of preserved vegetable intake, more people consumed spicy food daily and preferred salty food (P<0.05). Conclusions: The area and population specific differences in the type and frequency of preserved vegetable intake were observed in adults in the CKB project in China. Besides, the average level of preserved vegetable intake showed a declining trend. Preserved vegetable intake might be associated with other dietary habits.
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Affiliation(s)
- W Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y B Lan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education,Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education,Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - H D Du
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, United Kingdom Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education,Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education,Beijing 100191, China
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Li SY, Zhang YQ, Xiao M, Sun DJY, Yu CQ, Wang YQ, Pei P, Chen JS, Chen ZM, Li LM, Lyu J. [A prospective cohort study of factors associated with longevity in older adults in 10 areas of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:26-34. [PMID: 38228521 DOI: 10.3760/cma.j.cn112338-20230724-00035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Objective: To evaluate the associations of sociodemographic characteristics and lifestyle factors with longevity status in older adults in China. Methods: After excluding those born after 31st December 1938, a total of 51 870 older adults from the China Kadoorie Biobank (CKB) were included. The attained age was defined according to the survival age or age on 31st December 2018. According to the attained age, the old persons were categorized into non-longevity (died before age 80 years) and longevity (attained age ≥80 years). The longevity group was further divided into two groups: longevity with death occurring before 2019, and longevity and survival to 2019. The information about socio-demographic characteristics and lifestyles was collected at the 2004-2008 baseline survey. Multinomial logistic regression models were used to analyze the associations between exposure factors and outcomes by taking the non-longevity group as the reference group. Results: A total of 51 870 older adults aged 65-79 years in the baseline survey were included for analysis. During a follow-up for (10.2±3.5) years, 38 841 participants were longevity, and 30 354 participants still survived at the end of 2018. Compared to men, rural populations, non-married individuals, those with an annual household income of less than 10 000 yuan, and those with education levels of primary school or below, the adjusted ORs(95%CI) for longevity and survival to 2019 in women, urban residents, married individuals, those with annual household incomes ≥20 000 yuan, and those with education levels of college or university were 1.68 (1.58-1.78), 1.69 (1.61-1.78), 1.15 (1.10-1.21), 1.44 (1.36-1.53), and 1.32 (1.19-1.48), respectively. The OR (95%CI) for longevity and survival to 2019 was 1.09 (1.08-1.10) for those with an increase of 4 MET-hour/day in total physical activity level. With those who never or almost never smoked, had no alcohol drinking every week, had normal weight (BMI: 18.5-23.9 kg/m2), and WC <85 cm (man)/<80 cm (woman) as the reference groups, the ORs(95%CI) of longevity and survival to 2019 were 0.64 (0.60-0.69) for those smoking ≥20 cigarettes per day, 1.29 (1.14-1.46) for those with alcohol drinking every week, 1.13 (1.01-1.26) for those with pure alcohol drinking <30 g per day, 0.56 (0.52-0.61) for those being underweight, 1.27 (1.19-1.36) for those being overweight, 1.23 (1.11-1.36) for those with obesity, and 0.86 (0.79-0.93) for those with central obesity. Further stratified analysis by WC was performed. In the older adults with WC <85 cm (man)/<80 cm (woman), the ORs (95%CI) of longevity and survival was 1.80 (1.69-1.92) for those with each 5 kg/m2 increase in BMI and 1.02 (0.96-1.08) for those with WC ≥85 cm (man)/≥80 cm (woman). There was a statistically significant difference in the association between BMI and longevity between the two WC groups (interaction test P<0.001). Conclusion: This study showed that women, the married, those with higher socioeconomic status and education level, and those with healthy lifestyles were more likely to achieve longevity.
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Affiliation(s)
- S Y Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Q Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - M Xiao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Y Q Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
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6
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Zhao YX, Song MY, Lyu J, Yu CQ, Pei P, Du HD, Chen JS, Chen ZM, Li LM, Sun DJY. [Epidemiological distribution of mosaic loss of chromosome Y in adult men in 10 areas in China and its prospective association with lung cancer]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:56-62. [PMID: 38228525 DOI: 10.3760/cma.j.cn112338-20230412-00228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Objective: To detect the prevalence of mosaic loss of chromosome Y in adult men in ten study areas in China, describe the epidemiological distribution of mosaic loss of chromosome Y (mLOY) carriers and assess its prospective association with lung cancer. Methods: Based on the data from baseline survey, genetic analysis and follow-up (as of December 31, 2018) from China Kadoorie Biobank, we used Mosaic Chromosomal Alterations pipeline to detect mLOY carriers in 10 areas in China and described the epidemiological characteristics of mLOY carriers in adult men, including age, area distribution, lifestyle and disease history. We used multivariate logistic regression model to identify the potential relevant factor of mLOY. Cox proportional hazard regression model was fitted to assess the prospective association of mLOY with lung cancer. Stratification analysis were conducted to evaluate the potential modification effects of smoking and age. We also conducted mediation analysis to assess the mediating effect of mLOY in the association between smoking and lung cancer. Results: A total of 42 859 adult men were included in our analysis, in whom 2 458 mLOY carriers were detected (5.7%). The detection rate increased with age (P<0.05). The detection rate was higher in urban area (7.3%±0.2%) than that in rural area (4.7%±0.1%). The results of logistic regression analysis indicated that smoking might be a risk factor for the detection of mLOY (OR=1.49, 95%CI:1.36-1.64). After follow-up for average 11.1 years, 1 041 lung cancer cases were observed. The prospective analysis showed that mLOY carriers had an increased risk for lung cancer by 24% compared with non-mLOY carriers (HR=1.24, 95%CI:1.01-1.52) and expanded mLOY carriers (mLOY cell proportion ≥10%) had an increased risk for lung cancer by 50% (HR=1.50, 95%CI:1.13-2.00). Stratification analysis showed no modification effects of smoking and age in the association between mLOY and lung cancer (interaction P>0.05). Mediation analysis showed that mLOY could be a mediating factor in the association between smoking and lung cancer, the estimated effect was 0.09 (0.01-0.17). Conclusions: There were significant differences in the detection rate of mLOY in adult men with different social-economic characteristics and lifestyles in ten areas in China. Besides, mLOY carriers, especially expanded mLOY carriers, had increased risk for lung cancer and mLOY might be a mediating factor in the association between smoking and lung cancer.
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Affiliation(s)
- Y X Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - M Y Song
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - H D Du
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, United Kingdom Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
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Chen YY, Ke YL, Lyu J, Sun DJY, Pan L, Pei P, Du HD, Chen JS, Chen ZM, Li LM, Doherty DOHERTY, Yu CQ. [Progress and practice of objective measurement of physical behaviors in large-scale cohort research]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:35-40. [PMID: 38228522 DOI: 10.3760/cma.j.cn112338-20230724-00036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Due to the limited reliability of traditional self-completed questionnaire, the accuracy of measurement of physical behaviors (physical activity, sedentary behavior and sleep) is not high. With the development of technology, wearable devices (e.g. accelerometer) can be used for more accurate measurement of physical behaviors and have great application potential in large-scale research. However, the data of objective measurement of physical behaviors from large-scale cohort research in Asian populations is still limited. Between August 2020 and December 2021, the 3rd resurvey of China Kadoorie Biobank (CKB) project used Axivity AX3 wrist triaxial accelerometer to collect the data of participants' daily activity and sleep status. A total of 20 370 participants from 10 study areas were included in the study, in whom 65.2% were women, and the age was (65.4±9.1) years. The participants' physical activity level varied greatly in different study areas. The objective measurement of participants' physical behaviors in CKB project has provided valuable resources for the description of 24-hour patterns of physical behaviors and evaluation of the health effect of physical activity, sedentary behavior and sleep as well as their association with diseases in the elderly in China.
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Affiliation(s)
- Y Y Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China
| | - Y L Ke
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191,China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191,China
| | - L Pan
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China
| | - H D Du
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, United Kingdom Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191,China
| | - D O H E R T Y Doherty
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191,China
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Shi HJ, Jiang JN, Lyu J, Chen YY, Shao ZL, Sun DJY, Li LM, Yu CQ. [Comparative study on physical activity and its influencing factors in patients with chronic pulmonary obstructive disease between China and the United Kingdom]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1851-1857. [PMID: 38129138 DOI: 10.3760/cma.j.cn112338-20230713-00429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Objective: To compare physical activity and its influencing factors in patients with chronic obstructive pulmonary disease (COPD) between China and the United Kingdom. Methods: We analyzed baseline data from China Kadoorie Biobank and the United Kingdom Biobank among COPD patients who were diagnosed with a one-second rate (FEV1/FVC) less than 70%. Physical activity level was calculated as metabolic equivalent (MET) and divided into three levels: low, medium, and high, according to tertiles stratified by gender and age. Multiple logistic regression was used to estimate ORs and 95%CIs for COPD and Global Initiative for Chronic Obstructive Lung Disease (GOLD) grade about physical activity level, and subgroup analysis was conducted. Results: A total of 506 073 Chinese adults and 231 884 British adults were included. After adjusting for potential confounders, COPD was associated with lower physical activity levels in both Chinese and British COPD patients, with OR (95%CI) of 1.07(1.03-1.10) and 1.03(1.01-1.06) compared with non COPD patients, respectively. The GOLD grade was inversely correlated with physical activity level, particularly in a dose-response manner in the CKB population (trend test P<0.001). The negative relationship was stronger among the elderly, people with less education and lower economic status, and those with a smoking or chronic disease history. Chinese rural COPD patients were at high risk of decline of physical activity. Conclusions: Physical activity is inversely related to COPD, with a dose-response connection to GOLD grade. Therefore, physical activity maintenance and improvement should be encouraged and promoted in COPD patients, especially in high-risk groups.
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Affiliation(s)
- H J Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J N Jiang
- Institute of Child and Adolescent Health, Peking University/School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Y Y Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z L Shao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
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Li LM, Wang Q, Shi JF, Li T, Zhao B, Ma QX, Liu HY, Su N, Cai RP, Zeng FL, Gong QL, Shi K, Li JM, Liu F, Du R. Seroprevalence and potential risk factors of brucellosis in sheep from America, Africa and Asia regions: A systematic review and meta-analysis. Res Vet Sci 2023; 165:105048. [PMID: 37866007 DOI: 10.1016/j.rvsc.2023.105048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 10/03/2023] [Accepted: 10/08/2023] [Indexed: 10/24/2023]
Abstract
BACKGROUND Brucellosis, a neglected and global zoonotic disease, infect a variety of mammals, among which sheep are one of the main hosts. This disease results in huge economic losses and is a widespread concern around the world. RESULT Based on the selection criteria, 40 articles from 2010 to 2021 of five databases (CNKI, Wanfang, VIP, PubMed and Science Direct) reported in America, Africa and Asia were included. The data showed that during this period, the overall seroprevalence of sheep brucellosis on these three continents was 6.2%. At the regional level, sheep brucellosis had the highest seroprevalence (8.5%) in Africa and the lowest seroprevalence (1.9%) in the Americas. With regard to the age of the sheep, the seroprevalence was significantly higher in adult sheep (15.5%) than in lambs (8.6%). Further, the seroprevalence was significantly higher in sheep that had abortion (44.3%) than in pregnant (13.0%) and non-pregnant sheep (9.5%). With regard to herd size, herds with >20 sheep (35.4%) had a significantly higher seroprevalence than herds with <20 sheep (16.8%). In terms of farming and grazing mode, free-range rearing (8.4%) was associated with a significantly higher seroprevalence than intensive farming (2.8%), and mixed grazing (37.0%) was associated with a significantly higher seroprevalence than single grazing (5.7%). CONCLUSION Sheep brucellosis is widely distributed in sheep-rearing regions of America, Africa and Asia, and sheep are susceptible to brucellosis by themselves or from other infectious sources. Therefore, timely monitoring of ovine brucellosis and improving farming and grazing patterns are critical to reducing the prevalence of brucellosis.
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Affiliation(s)
- Lian-Min Li
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, Jilin Province 130118, PR China
| | - Qi Wang
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin Province 130118, PR China
| | - Jun-Feng Shi
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin Province 130118, PR China
| | - Ting Li
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin Province 130118, PR China
| | - Bo Zhao
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin Province 130118, PR China
| | - Qing-Xia Ma
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin Province 130118, PR China
| | - Hong-Ying Liu
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, Jilin Province 130118, PR China
| | - Nuo Su
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin Province 130118, PR China
| | - Ruo-Peng Cai
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, Jilin Province 130118, PR China
| | - Fan-Li Zeng
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, Jilin Province 130118, PR China
| | - Qing-Long Gong
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin Province 130118, PR China
| | - Kun Shi
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, Jilin Province 130118, PR China
| | - Jian-Ming Li
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, Jilin Province 130118, PR China.
| | - Fei Liu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin Province 130118, PR China.
| | - Rui Du
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, Jilin Province 130118, PR China; Jilin Provincial Engineering Research Center for Efficient Breeding and Product Development of Sika Deer, Changchun, Jilin Province 130118, China; Key Lab of Animal Production, Product Quality and Security, Ministry of Education, Jilin Agricultural University, Changchun, Jilin Province 130118, China.
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10
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Yang HM, Zhao YX, Lyu J, Yu CQ, Guo Y, Pei P, Du HD, Chen JS, Chen ZM, Sun DJY, Li LM. [Study on the associations of meeting intensive systolic blood pressure control goals with risk for incident cardiovascular and cerebrovascular diseases among the adult hypertensive patients in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1175-1182. [PMID: 37661606 DOI: 10.3760/cma.j.cn112338-20230317-00156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Objective: To evaluate the associations of meeting intensive systolic blood pressure (SBP) control goals with risk for incident cardiovascular and cerebrovascular diseases among the adult hypertensive patients in China. Methods: We used data from adult hypertensive patients from the China Kadoorie Biobank. logistic regression models evaluated the influencing factors of meeting intensive and standard SBP control goals. Cox proportional hazard models evaluated the associations between meeting intensive vs. standard SBP control goals and risk for incident cardiovascular and cerebrovascular diseases. Results: A total of 3 628 hypertensive patients who reported continuous medication use were included in this study, of which 5.0% of the participants met the goals of intensive SBP control (≤130 mmHg). Participants with higher educational attainment (OR=2.36,95%CI: 1.32-4.04), healthier diet (OR=2.09,95%CI: 1.45-2.96), daily intake of fresh fruit (OR=1.67,95%CI: 1.17-2.36) and combination treatment (OR=1.82,95%CI: 1.03-3.09) were more likely to meet intensive SBP control goal after adjustment of age, sex and urban/rural areas. During an average follow-up of (10.0±3.7) years, 1 278 cases of composite cardiovascular outcome were recorded. This study did not find a statistical correlation between achieving the goal of enhanced SBP control and the occurrence of composite cardiovascular and cerebrovascular outcomes (HR=0.89, 95%CI: 0.63-1.25). For major adverse cardiovascular events (MACE), cerebrovascular diseases, stroke, and ischemic stroke, we observed a trend of decrease in risk of outcomes with more intensive SBP control (trend test P<0.05). Conclusions: We observed decreased risk for MACE and cerebrovascular diseases with more intensive SBP control. However, there was no significant risk reduction for cardiovascular and cerebrovascular diseases when meeting the intensive SBP control goal, compared to the standard SBP control goal.
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Affiliation(s)
- H M Yang
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y X Zhao
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - C Q Yu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Y Guo
- Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - H D Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, United Kingdom Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - D J Y Sun
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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11
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Song MY, Zhao YX, Han YT, Lyu J, Yu CQ, Pei P, Du HD, Chen JS, Chen ZM, Sun DJY, Li LM. [Epidemiological distribution characteristics of peripheral blood mosaic chromosomal alteration in adults from 10 regions of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1021-1026. [PMID: 37482702 DOI: 10.3760/cma.j.cn112338-20230306-00129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Objective: To describe the epidemiological distribution characteristics of peripheral blood mosaic chromosomal alteration (mCA) in community adults aged 30-79 years in 10 regions of China. Methods: A total of 100 297 participants with complete baseline information (demographic characteristics, lifestyle, physical examination, etc.) and genotyping data of blood-derived DNA in ten regions of the China Kadoorie Biobank study were included. The mCAs were detected with the Mosaic Chromosomal Alterations pipeline, and logistic regression models were used to compare the differences in the detection rate of mCAs in different regions and populations. Results: A total of 5 810 mCA carriers were detected, with the detection rate of 5.8%. The standardized detection rate was 5.1%. The baseline detection rate of mCA increased with age, which were 3.4%, 5.0%, and 9.4% in those aged 30-, 51-, and >60 years, respectively (trend test P<0.001). A more significant proportion of mCAs were found in men (8.0%) than women (4.0%), as well as in urban areas (6.4%) than in rural areas (5.3%), the difference was significant (P<0.001). After adjusting for age and gender, the detection rate of mCA was higher in current smokers or people quitting smoking due to illness and people with low physical activity level, and the mCA detection rate was lower in obesy people (5.3%) than that in people with normal body weight (5.9%) (P=0.006). Conclusions: The detection rate of mCAs varied with region and population in community adults aged 30-79 years in 10 regions of China. The study results might contribute to the molecular identification of aging populations and guide precision prevention of age-related diseases such as cancers.
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Affiliation(s)
- M Y Song
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y X Zhao
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y T Han
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - C Q Yu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - H D Du
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, United Kingdom Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - D J Y Sun
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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12
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Liu CY, Cheng S, Pang YJ, Yu CQ, Sun DJY, Pei P, Chen JS, Chen ZM, Lyu J, Li LM. [Tea consumption and cancer: a Mendelian randomization study]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1027-1036. [PMID: 37482703 DOI: 10.3760/cma.j.cn112338-20230217-00086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Objective: A Mendelian randomization (MR) analysis was performed to assess the relationship between tea consumption and cancer. Methods: There were 100 639 participants with the information of gene sequencing of whole genome in the China Kadoorie Biobank. After excluding those with cancer at baseline survey, a total of 100 218 participants were included in this study. The baseline information about tea consumption were analyzed, including daily tea consumption or not, cups of daily tea consumption, and grams of daily tea consumption. We used the two-stage least square method to evaluate the associations between three tea consumption variables and incidence of cancer and some subtypes, including stomach cancer, liver and intrahepatic bile ducts cancer, colorectal cancer, tracheobronchial and lung cancer, and female breast cancer. Multivariable MR and analysis only among nondrinkers were used to control the impact of alcohol consumption. Sensitivity analyses were also performed, including inverse variance weighting, weighted median, and MR-Egger. Results: We used 54, 42, and 28 SNPs to construct non-weighted genetic risk scores as instrumental variables for daily tea consumption or not, cups of daily tea consumption, and grams of daily tea consumption, respectively. During an average of (11.4±3.0) years of follow-up, 6 886 cases of cancer were recorded. After adjusting for age, age2, sex, region, array type, and the first 12 genetic principal components, there were no significant associations of three tea consumption variables with the incidence of cancer and cancer subtypes. Compared with non-daily tea drinkers, the HR (95%CI) of daily tea drinkers for cancer and some subtypes, including stomach cancer, liver and intrahepatic bile ducts cancer, colorectal cancer, tracheobronchial and lung cancer, and female breast cancer, are respectively 0.99 (0.78-1.26), 1.17 (0.58-2.36), 0.86 (0.40-1.84), 0.85 (0.42-1.73), 1.39 (0.85-2.26) and 0.63 (0.28-1.38). After controlling the impact of alcohol consumption and performing multiple sensitivity analyses, the results were similar. Conclusion: There is no causal relationship between tea consumption and risk of cancer in population in China.
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Affiliation(s)
- C Y Liu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S Cheng
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y J Pang
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - D J Y Sun
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - J Lyu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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13
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Zhao YX, Song MY, Yu CQ, Lyu J, Li LM, Sun DJY. [Progress on genome-wide association studies on mosaic chromosomal alterations]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1146-1150. [PMID: 37482720 DOI: 10.3760/cma.j.cn112338-20230105-00009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Mosaic chromosomal alteration (mCA) is referred to as large-scale somatic mutations on chromosomes, which results in diverse karyotypes in body. The mCA is regarded as one of the phenotypes of aging. Studies have revealed its associations with many chronic diseases such as hematopoietic cancers and cardiovascular diseases, but its genetic basis (e.g. genetic susceptibility variants) is still under-investigated. This paper reviews GWAS studies for mCA on autosomal chromosomes and sex chromosomes [mosaic loss of the Y chromosome (mLOY) and mosaic loss of the X chromosome (mLOX)] based on large population, respectively. Most of the genetic susceptibility loci found in studies for autosomal mCA were associated with copy-neutral loss of heterozygosity. The study of sex chromosome mCA focused on mosaic loss mutations. The number of genetic susceptibility loci for mLOY was high (up to 156), but it was relatively less for mLOX.
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Affiliation(s)
- Y X Zhao
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - M Y Song
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J Lyu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - D J Y Sun
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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14
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Zhou RF, Zhu ZN, Wang ZY, Zang JJ, Jia XD, Lyu J, Li LM, Wu F. [A case-control study on the association between a healthy lifestyle and obesity among adult twins in Shanghai]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:862-867. [PMID: 37380405 DOI: 10.3760/cma.j.cn112338-20221114-00970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/30/2023]
Abstract
Objective: To investigate the associations between the numbers of healthy lifestyles and overweight/obesity and abdominal obesity in adult twins in Shanghai. Methods: Based on the Shanghai Twin Registry System Phase Ⅱ survey data in 2017-2018, a case-control study was conducted to analyze the association between healthy lifestyles and obesity and further adjusted for confounders by a co-twin control study. Results: A total of 7 864 adult twins (3 932 pairs) were included. In the co-twin case-control analysis for monozygotic twins, compared with participants with 0 to 2 healthy lifestyles, those with 3 and 4 to 5 healthy lifestyles had a 49% (OR=0.51, 95%CI: 0.28-0.93) and 70% (OR=0.30, 95%CI: 0.13-0.69) lower risk of overweight/obesity, respectively, and a 17% (OR=0.83, 95%CI: 0.44-1.57) and 66% (OR=0.34, 95%CI: 0.14-0.80) lower risk of abdominal obesity, respectively. For each additional healthy lifestyle, the risk of developing overweight/obesity was reduced by 41% (OR=0.59, 95%CI: 0.42-0.85), and the risk of developing abdominal obesity was reduced by 37% (OR=0.63, 95%CI: 0.44-0.90). Conclusion: An increasing number of healthy lifestyles was associated with a marked decreased risk for both overweight/obesity and abdominal obesity.
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Affiliation(s)
- R F Zhou
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Z N Zhu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Z Y Wang
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - J J Zang
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - X D Jia
- Shanghai Chemical Industry Park Medical Center, Shanghai 201507, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - F Wu
- School of Public Health, Fudan University, Shanghai 200032, China
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Ding YQ, Yang SC, Lyu J, Li LM. [A review on cardiovascular disease risk prediction models in the elderly]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1013-1020. [PMID: 37380427 DOI: 10.3760/cma.j.cn112338-20221104-00940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/30/2023]
Abstract
Risk prediction models play an important role in the primary prevention of cardiovascular diseases (CVD) in the elderly population. There are fifteen papers about CVD risk prediction models developed for the elderly domestically and internationally, of which the definitions of disease outcome vary widely. Ten models were reported with insufficient information about study methods or results. Ten models were at high risk of bias. Thirteen models presented moderate discrimination in internal validation, and only four models have undertaken external validation. The CVD risk prediction models for the elderly differed from those for the general population in terms of model algorithm and the effect size of association between predictor and outcome, and the prediction performance of the models for the elderly attenuated. In the future, high-quality external validation researches are necessary to provide more solid evidence. Different ways, including adding new predictors, using competing risk model algorithms, machine learning methods, or joint models, and altering the prediction time horizon, should be explored to optimize the current models.
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Affiliation(s)
- Y Q Ding
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S C Yang
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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Shi KX, Wang X, Yu CQ, Lyu J, Guo Y, Sun DJY, Pei P, Xia QM, Chen JS, Chen ZM, Li LM. [Prospective association between physical activity and mortality in patients with chronic kidney disease]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:720-726. [PMID: 37221059 DOI: 10.3760/cma.j.cn112338-20221025-00906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Objective: To investigate the prospective association of physical activity with all-cause, cardiovascular disease (CVD), and chronic kidney disease (CKD) mortality in CKD patients in China. Methods: Cox proportional hazard models were used to evaluate the association of total, domain-specific, and intensity-specific physical activity with the risk of all-cause, CVD, and CKD mortality based on data from the baseline survey of China Kadoorie Biobank. Results: During a median follow-up of 11.99 (11.13, 13.03) years, there were 698 deaths in 6 676 CKD patients. Compared with the bottom tertile of total physical activity, participants in the top tertile had a lower risk of all-cause, CVD, and CKD mortality, with hazard ratios (HRs) (95%CIs) of 0.61 (0.47-0.80), 0.40 (0.25-0.65), and 0.25 (0.07-0.85), respectively. Occupational, commuting, and household physical activity were negatively associated with the risk of all-cause and CVD mortality to varying degrees. Participants in the top tertile of occupational physical activity had a lower risk of all-cause (HR=0.56, 95%CI: 0.38-0.82) and CVD (HR=0.39, 95%CI: 0.20-0.74) mortality, those in the top tertile of commuting physical activity had a lower risk of CVD mortality (HR=0.43, 95%CI: 0.22-0.84), and those in the top tertile of household physical activity had a lower risk of all-cause (HR=0.61, 95%CI: 0.45-0.82), CVD (HR=0.44, 95%CI: 0.26-0.76) and CKD (HR=0.03, 95%CI: 0.01-0.17) mortality, compared with the bottom tertile of corresponding physical activity. No association of leisure-time physical activity with mortality was observed. Both low and moderate-vigorous intensity physical activity were negatively associated with the risk of all-cause, CVD and CKD mortality. The corresponding HRs (95%CIs) were 0.64 (0.50-0.82), 0.42 (0.26-0.66) and 0.29 (0.10-0.83) in the top tertile of low intensity physical activity, and the corresponding HRs (95%CIs) were 0.63 (0.48-0.82), 0.39 (0.24-0.64) and 0.23 (0.07-0.73) in the top tertile of moderate-vigorous intensity physical activity. Conclusion: Physical activity can reduce the risk of all-cause, CVD, and CKD mortality in CKD patients.
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Affiliation(s)
- K X Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - X Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Y Guo
- Fuwai Hospital Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing 100037, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Q M Xia
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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Gao WJ, Liao CX, Li LM. [Introduction for One Health Joint Plan of Action (2022-2026)]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:657-661. [PMID: 37147841 DOI: 10.3760/cma.j.cn112338-20221202-01032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Four organizations, including the Food and Agriculture Organization of the United Nations, the United Nations Environment Programme, WHO, and the World Organization for Animal Health, recently launched a new One Health Joint Plan of Action (2022-2026) which was the first time that the Quadripartite had issued a joint action plan on One Health. The action plan aimed to address the health challenges in the human, animal, plant, and environment, focusing on improving capabilities in six action tracks including One Health capacities, emerging and re-emerging zoonotic diseases, neglected tropical and vector-borne diseases, food safety, antimicrobial resistance and environment. This introduction will give an overview and brief translation of the background, content, and the plan's value, to help readers understand the joint action plan quickly.
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Affiliation(s)
- W J Gao
- School of Public Health, Peking University, Beijing 100191, China
| | - C X Liao
- School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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18
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Miao K, Cao WH, Lyu J, Yu CQ, Wang SF, Huang T, Sun DJY, Liao CX, Pang YJ, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Gao WJ, Li LM. [A descriptive analysis of hyperlipidemia in adult twins in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:544-551. [PMID: 37147824 DOI: 10.3760/cma.j.cn112338-20221007-00859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Objective: To describe the distribution characteristics of hyperlipidemia in adult twins in the Chinese National Twin Registry (CNTR) and explore the effect of genetic and environmental factors on hyperlipidemia. Methods: Twins recruited from the CNTR in 11 project areas across China were included in the study. A total of 69 130 (34 565 pairs) of adult twins with complete information on hyperlipidemia were selected for analysis. The random effect model was used to characterize the population and regional distribution of hyperlipidemia among twins. The concordance rates of hyperlipidemia were calculated in monozygotic twins (MZ) and dizygotic twins (DZ), respectively, to estimate the heritability. Results: The age of all participants was (34.2±12.4) years. This study's prevalence of hyperlipidemia was 1.3% (895/69 130). Twin pairs who were men, older, living in urban areas, married,had junior college degree or above, overweight, obese, insufficient physical activity, current smokers, ex-smokers, current drinkers, and ex-drinkers had a higher prevalence of hyperlipidemia (P<0.05). In within-pair analysis, the concordance rate of hyperlipidemia was 29.1% (118/405) in MZ and 18.1% (57/315) in DZ, and the difference was statistically significant (P<0.05). Stratified by gender, age, and region, the concordance rate of hyperlipidemia in MZ was still higher than that in DZ. Further, in within-same-sex twin pair analyses, the heritability of hyperlipidemia was 13.04% (95%CI: 2.61%-23.47%) in the northern group and 18.59% (95%CI: 4.43%-32.74%) in the female group, respectively. Conclusions: Adult twins were included in this study and were found to have a lower prevalence of hyperlipidemia than in the general population study, with population and regional differences. Genetic factors influence hyperlipidemia, but the genetic effect may vary with gender and area.
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Affiliation(s)
- K Miao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - W H Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S F Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C X Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y J Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z C Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - H Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X P Wu
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control , Beijing 100013, China
| | - F Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - G H Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - X J Wang
- Qinghai Center for Disease Prevention and Control , Xining 810007, China
| | - Y Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150090, China
| | - J Deng
- Handan Center for Disease Control and Prevention of Hebei Province, Handan 056001, China
| | - L Lu
- Yunnan Center for Disease Control and Prevention, Kunming 650034, China
| | - W J Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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19
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Wang YT, Cao WH, Lyu J, Yu CQ, Wang SF, Huang T, Sun DJY, Liao CX, Pang YJ, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Gao WJ, Li LM. [A descriptive analysis on hypertension in adult twins in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:536-543. [PMID: 37147823 DOI: 10.3760/cma.j.cn112338-20221007-00860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Objective: To describe the distribution characteristics of hypertension among adult twins in the Chinese National Twin Registry (CNTR) and to provide clues for exploring the role of genetic and environmental factors on hypertension. Methods: A total of 69 220 (34 610 pairs) of twins aged 18 and above with hypertension information were selected from CNTR registered from 2010 to 2018. Random effect models were used to describe the population and regional distribution of hypertension in twins. To estimate the heritability, the concordance rates of hypertension were calculated and compared between monozygotic twins (MZ) and dizygotic twins (DZ). Results: The age of all participants was (34.1±12.4) years. The overall self-reported prevalence of hypertension was 3.8%(2 610/69 220). Twin pairs who were older, living in urban areas, married, overweight or obese, current smokers or ex-smokers, and current drinkers or abstainers had a higher self-reported prevalence of hypertension (P<0.05). Analysis within the same-sex twin pairs found that the concordance rate of hypertension was 43.2% in MZ and 27.0% in DZ, and the difference was statistically significant (P<0.001). The heritability of hypertension was 22.1% (95%CI: 16.3%- 28.0%). Stratified by gender, age, and region, the concordance rate of hypertension in MZ was still higher than that in DZ. The heritability of hypertension was higher in female participants. Conclusions: There were differences in the distribution of hypertension among twins with different demographic and regional characteristics. It is indicated that genetic factors play a crucial role in hypertension in different genders, ages, and regions, while the magnitude of genetic effects may vary.
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Affiliation(s)
- Y T Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - W H Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S F Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C X Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y J Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z C Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - H Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X P Wu
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - F Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336,China
| | - G H Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - X J Wang
- Qinghai Center for Disease Prevention and Control, Xining 810007, China
| | - Y Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150090, China
| | - J Deng
- Handan Center for Disease Control and Prevention of Hebei Province, Handan 056001, China
| | - L Lu
- Yunnan Center for Disease Control and Prevention, Kunming 650034, China
| | - W J Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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20
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Zeng ZQ, Yang SC, Yu CQ, Zhang LX, Lyu J, Li LM. [Progress in research of risk prediction model for chronic kidney disease]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:498-503. [PMID: 36942348 DOI: 10.3760/cma.j.cn112338-20220908-00771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Chronic kidney disease (CKD) is an important global public health problem that greatly threatens population health. Application of risk prediction model is a crucial way for the primary prevention of CKD, which can stratify the risk for developing CKD and identify high-risk individuals for more intensive interventions. By now, more than twenty risk prediction models for CKD have been developed worldwide. There are also four domestic risk prediction models developed for Chinese population. However, none of these models have been recommended in clinical guidelines yet. The existing risk prediction models have some limitations in terms of outcome definition, predictors, strategies for handling missing data, and model derivation. In the future, the applications of emerging biomarkers and polygenic risk scores as well as advances in machine learning methods will provide more possibilities for the further improvement of the model.
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Affiliation(s)
- Z Q Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S C Yang
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L X Zhang
- National Institute of Health Data Science of Peking University, Beijing 100191, China Department of Nephrology, Peking University First Hospital/Institute of Nephrology, Peking University, Beijing 100034, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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21
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Liao CX, Wang B, Lyu J, Li LM. [Progress in research of epidemiology of 2019-nCoV reinfection]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:360-366. [PMID: 36942328 DOI: 10.3760/cma.j.cn112338-20230110-00022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Continuous evolution of Omicron variant of 2019-nCoV has resulted in a rapid and simultaneous emergences of novel sub-variants with increased immune escape ability, higher reinfection risk and shorter time interval between infections. Compared with the first infection, the reinfection would still pose exceed risk to people's health although the clinical manifestations of the reinfection might be milder and the risk for severe illness or death is lower. The reinfection is highly associated with people's vaccination status, immunity level, age, working and residential factors. Those who have not received 2019-nCoV vaccination, the elderly and those with comorbidities, especially the previous 2019-nCoV patients with severe/critical illness, are at high risk for the reinfection. Booster doses of vaccine might play an additional role in the prevention of the reinfection and severe illness on the basis of natural immunity.
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Affiliation(s)
- C X Liao
- School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - B Wang
- Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China
| | - J Lyu
- School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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22
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Wang X, Shi KX, Yu CQ, Lyu J, Guo Y, Pei P, Xia QM, Du HD, Chen JS, Chen ZM, Li LM. [Prevalence of chronic kidney disease and its association with lifestyle factors in adults from 10 regions of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:386-392. [PMID: 36942332 DOI: 10.3760/cma.j.cn112338-20220801-00680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Objective: To investigate the distribution of chronic kidney disease (CKD) in participants from the China Kadoorie Biobank (CKB) study and evaluate the association between lifestyle risk factors and CKD. Methods: Based on the baseline survey data and follow-up data (as of December 31, 2018) of the CKB study, the differences in CKD cases' area and population distributions were described. Cox proportional hazards regression model was used to estimate the association between lifestyle risk factors and the risk of CKD. Results: A total of 505 147 participants, 4 920 cases of CKD were recorded in 11.26 year follow up with a incidence rate of 83.43/100 000 person-years. Glomerulonephropathy was the most common type. The incidence of CKD was higher in the urban area, men, and the elderly aged 60 years and above (87.83/100 000 person-years, 86.37/100 000 person-years, and 132.06/100 000 person-years). Current male smokers had an increased risk for CKD compared with non-smokers or occasional smokers (HR=1.18, 95%CI: 1.05-1.31). The non-obese population was used as a control group, both general obesity determined by BMI (HR=1.19, 95%CI: 1.10-1.29) and central obesity determined by waist circumference (HR=1.27, 95%CI: 1.19-1.35) were associated with higher risk for CKD. Conclusion: The risks for CKD varied with area and population in the CKB cohort study, and the risk was influenced by multiple lifestyle factors.
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Affiliation(s)
- X Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China
| | - K X Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China
| | - Y Guo
- Fuwai Hospital, Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing 100037, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Q M Xia
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H D Du
- Nuffield Department of Population Health, Center for Clinical and Epidemiological Studies, University of Oxford, Oxford OX3 7LF, UK
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Nuffield Department of Population Health, Center for Clinical and Epidemiological Studies, University of Oxford, Oxford OX3 7LF, UK
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China
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Liao CX, Wang B, Lyu J, Li LM. [Epidemiological characteristics and research progress of monkeypox in 2022]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:486-490. [PMID: 36942346 DOI: 10.3760/cma.j.cn112338-20221118-00981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Monkeypox is a zoonosis caused by monkeypox virus. Monkeypox was endemic mainly in central and western Africa in the past. Since May 7, 2022, monkeypox outbreaks have been reported in many non-epidemic countries and regions around the world. As of December 25, 2022, monkeypox cases have been detected in 110 countries and areas. Moreover, human to human transmission, especially among men who have sex with men, has aroused high global concern. The incidence, transmission route and clinical characteristics of monkeypox in 2022 seemed different from those in the past. Therefore, this paper summarizes the progress in research of the changes of epidemiological characteristics of monkeypox, the clinical characteristics of monkeypox and its prevention and treatment to provide scientific evidence for the prevention and control of monkeypox.
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Affiliation(s)
- C X Liao
- School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - B Wang
- Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China
| | - J Lyu
- School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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Su N, Wang Q, Liu HY, Li LM, Tian T, Yin JY, Zheng W, Ma QX, Wang TT, Li T, Yang TL, Li JM, Diao NC, Shi K, Du R. Prevalence of bovine viral diarrhea virus in cattle between 2010 and 2021: A global systematic review and meta-analysis. Front Vet Sci 2023; 9:1086180. [PMID: 36733426 PMCID: PMC9887317 DOI: 10.3389/fvets.2022.1086180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 12/22/2022] [Indexed: 01/18/2023] Open
Abstract
Background Bovine viral diarrhea is one of the diseases that cause huge economic losses in animal husbandry. Many countries or regions have successively introduced eradication plans, but BVDV still has a high prevalence in the world. This meta-analysis aims to investigate the prevalence and risk factors of BVDV in the world in recent 10 years, and is expected to provide some reference and theoretical basis for BVDV control plans in different regions. Method Relevant articles published from 2010 to 2021 were mainly retrieved from NCBI, ScienceDirect, Chongqing VIP, Chinese web of knowledge (CNKI), web of science and Wanfang databases. Results 128 data were used to analyze the prevalence of BVDV from 2010 to 2021. BVDV antigen prevalence rate is 15.74% (95% CI: 11.35-20.68), antibody prevalence rate is 42.77% (95% CI: 37.01-48.63). In the two databases of antigen and antibody, regions, sampling time, samples, detection methods, species, health status, age, sex, breeding mode, and seasonal subgroups were discussed and analyzed, respectively. In the antigen database, the prevalence of dairy cows in the breed subgroup, ELISA in the detection method subgroup, ear tissue in the sample subgroup, and extensive breeding in the breeding mode were the lowest, with significant differences. In the antibody database, the prevalence rate of dairy cows in the breed subgroup and intensive farming was the highest, with a significant difference. The subgroups in the remaining two databases were not significantly different. Conclusion This meta-analysis determined the prevalence of BVDV in global cattle herds from 2010 to 2021. The prevalence of BVDV varies from region to region, and the situation is still not optimistic. In daily feeding, we should pay attention to the rigorous and comprehensive management to minimize the spread of virus. The government should enforce BVDV prevention and control, implement control or eradication policies according to local conditions, and adjust the policies in time.
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Affiliation(s)
- Nuo Su
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China,College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Qi Wang
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China,College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Hong-Ying Liu
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China
| | - Lian-Min Li
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China,College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Tian Tian
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China,College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Ji-Ying Yin
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China,College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Wei Zheng
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China,College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Qing-Xia Ma
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China,College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Ting-Ting Wang
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China,College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Ting Li
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China,College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Tie-Lin Yang
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China,College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Jian-Ming Li
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China
| | - Nai-Chao Diao
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China,College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Kun Shi
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China,*Correspondence: Kun Shi ✉
| | - Rui Du
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China,Laboratory of Production and Product Application of Sika Deer of Jilin Province, Jilin Agricultural University, Changchun, China,Key Laboratory of Animal Production, Product Quality and Security, Ministry of Education, Jilin Agricultural University, Changchun, China,Rui Du ✉
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25
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Parkinson M, Doherty R, Curtis F, Dani M, Fertleman M, Kolanko M, Soreq E, Barnaghi P, Sharp D, Li LM. 1415 NOVEL APPROACHES TO POST DISCHARGE CARE. REMOTE HEALTHCARE MONITORING SYSTEMS FOLLOWING TRAUMATIC BRAIN INJURY IN OLDER ADULTS. Age Ageing 2023. [DOI: 10.1093/ageing/afac322.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Abstract
Introduction
Major trauma including Traumatic Brain Injury (TBI) is an increasingly common cause of hospitalisation in older adults (OAs). We studied post-discharge recovery from TBI using a remote healthcare monitoring system that captures data on activity and sleep. We aim to assess the feasibility and acceptability of this technology to monitor recovery at home following a significant acute health event in OAs.
Methods
We installed Minder, a remote healthcare monitoring system, in recently discharged patients >60 years with moderate-severe TBI. We present descriptive analyses of post-discharge recovery for two males, corroborating data from Minder against verified activities and events. We recorded semi-structured interviews assessing acceptability. Both participants have similar household set-up, multimorbidity profiles and clinical frailty scores; however, one participant has prior cognitive impairment (PAT1), and one does not (PAT2).
Results
We present 10 weeks of sleep and activity data from Minder and feedback from interviews. Data observed from PAT1 revealed habitual patterns of activity and sleep. These remained stable, despite discrete clinical events. Conversely, PAT2's data revealed irregular sleep patterns that became increasingly fragmented. Activity was detected in multiple rooms throughout the house at night, consistent with carer reports of night-time wandering. Increased overnight activity coincided with multiple falls, prompting increased care provision. Initial feedback from interviews was the technology helped participants and those involved in their care feel supported.
Conclusions
As pressure on services mounts, novel approaches to post-discharge care are of increasing importance. Remote healthcare monitoring can provide high temporal resolution data offering ‘real world’ insights into the effects of significant health events in OAs. Our provisional results support our hypothesis that use of this technology is feasible and acceptable for frail, multimorbid participants and highlights the substantial potential of this technology to help clinicians improve community-based care and more effectively monitor interventions and chronic conditions.
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Affiliation(s)
| | - R Doherty
- Imperial College London Brain sciences,
| | - F Curtis
- Imperial College London and the University of Surrey UK DRI Care Research and Technology Centre,
| | - M Dani
- Imperial College London Bioengineering,
| | | | - M Kolanko
- Imperial College London Brain sciences,
- Imperial College London and the University of Surrey UK DRI Care Research and Technology Centre,
| | - E Soreq
- Imperial College London Brain sciences,
- Imperial College London and the University of Surrey UK DRI Care Research and Technology Centre,
| | - P Barnaghi
- Imperial College London Brain sciences,
- Imperial College London and the University of Surrey UK DRI Care Research and Technology Centre,
| | - D Sharp
- Imperial College London Brain sciences,
- Imperial College London and the University of Surrey UK DRI Care Research and Technology Centre,
| | - L M Li
- Imperial College London Brain sciences,
- Imperial College London and the University of Surrey UK DRI Care Research and Technology Centre,
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26
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Song MY, Zhao YX, Han YT, Yu CQ, Lyu J, Li LM, Sun DJY. [Research progress on the epidemiological distribution and influencing factors of autosomal mosaic chromosomal alteration]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:2026-2029. [PMID: 36572480 DOI: 10.3760/cma.j.cn112338-20220715-00632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Somatic mosaicism is defined as the occurrence and accumulation of somatic mutations in humans, and mosaic chromosomal alterations (mCA) are recognized as one of the aging phenotypes due to their impact on genome integrity. With the coming acceleration of global population aging, understanding the prevalence and influencing factors of mCA will help to explore the "genomic instability" of human aging and its biological mechanisms and provide the scientific basis for the primary prevention of age-related diseases. This review aims to summarize the epidemiological distribution and influencing factors of autosomal mCA in peripheral blood based on previous large-scale population-based studies.
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Affiliation(s)
- M Y Song
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y X Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y T Han
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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27
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Liao CX, Wang B, Lyu J, Li LM. [Progress in research of etiology and epidemiology of 2019-nCoV Omicron variant]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1691-1698. [PMID: 36444449 DOI: 10.3760/cma.j.cn112338-20220929-00829] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
2019-nCoV Omicron variant has become predominant in the world. New subvariants with further mutations in their spike proteins are continuously emerging. Compared with the wild type and other variants of concern, Omicron variant exhibits altered etiological and epidemiological characteristics, with weakened pathogenicity and toxicity in laboratory mice and hamsters as well as enhanced immune escape capacity. The human infections are more likely to be asymptomatic and mild characterized by upper respiratory tract symptoms with reduced risk of hospitalization and death. In addition, Omicron variant can transmit more rapidly and shows shorter incubation period to cause infection, and the variant is more likely to transmit through contamination of object surfaces and aerosols spread. This paper summarizes the etiological and epidemiological characteristics of Omicron variant to provide a reference for the effective prevention and control of Omicron variant infection.
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Affiliation(s)
- C X Liao
- School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - B Wang
- Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China
| | - J Lyu
- School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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28
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Li JM, Li LM, Shi JF, Li T, Wang Q, Ma QX, Zheng W, Feng HF, Liu F, Du R. Prevalence of Leptospira in murine in China: A systematic review and meta-analysis. Front Vet Sci 2022; 9:944282. [PMID: 36246331 PMCID: PMC9557099 DOI: 10.3389/fvets.2022.944282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 08/29/2022] [Indexed: 12/02/2022] Open
Abstract
Leptospirosis is an acute infectious disease caused by pathogenic bacteria from the genus Leptospira. The disease is widely distributed throughout China, causing harm to human and animal health. Murine may naturally carry a variety of pathogenic Leptospira, thus being important sources of infection by humans and livestock. The aim of this study was to assess and analyse the prevalence of Leptospira and its risk factors in murine. We collected 46 publications published between inception and 2022 through China Knowledge Network (CNKI), VIP Chinese Journal Database, Wanfang Database, PubMed, and ScienceDirect. In these studies, a total of 54,051 murine in 5 regions of China were investigated, and the prevalence of leptospirosis ranged from 1.11 to 35.29%. The prevalence of murine leptospirosis in south China was the highest, at 20.13%, and the lowest in northeast China, at 1.11% (P < 0.05). The prevalence of leptospirosis in male murine was 21.38%, which was significantly higher than that in females (17.07%; P < 0.05). Results according to detection method subgroup showed that the prevalence from serological testing was 15.94%, which was significantly higher than that of etiology and molecular biology methods (P < 0.01). In the sample subgroup, the positive rate of serum samples was 15.30%, which was significantly higher than that of tissue samples, at 7.97%. In addition, the influence of different geographical factors on prevalence was analyzed, indicating that the Yangtze River Basin was a high-incidence area for leptospirosis. The study showed that Leptospira were ubiquitous throughout the country, and factors such as environment, temperature and landform affect the murine distribution and their bacteria carrying rate. We suggest strengthening the continuous monitoring of leptospirosis and taking effective and comprehensive measures such as reducing water contact, vaccinating in high-incidence seasons, and avoiding human contamination caused by water pollution and contact with infected murine.
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Affiliation(s)
- Jian-Ming Li
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China
- Laboratory of Production and Product Application of Sika Deer of Jilin, Jilin Agricultural University, Changchun, China
| | - Lian-Min Li
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China
- Laboratory of Production and Product Application of Sika Deer of Jilin, Jilin Agricultural University, Changchun, China
| | - Jun-Feng Shi
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China
- Laboratory of Production and Product Application of Sika Deer of Jilin, Jilin Agricultural University, Changchun, China
| | - Ting Li
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China
- Laboratory of Production and Product Application of Sika Deer of Jilin, Jilin Agricultural University, Changchun, China
| | - Qi Wang
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China
- Laboratory of Production and Product Application of Sika Deer of Jilin, Jilin Agricultural University, Changchun, China
| | - Qing-Xia Ma
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China
- Laboratory of Production and Product Application of Sika Deer of Jilin, Jilin Agricultural University, Changchun, China
| | - Wei Zheng
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
- College of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China
- Laboratory of Production and Product Application of Sika Deer of Jilin, Jilin Agricultural University, Changchun, China
| | - Hai-Feng Feng
- Animal Health Supervision Institute of Jilin Province, Changchun, China
| | - Fei Liu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
- Laboratory of Production and Product Application of Sika Deer of Jilin, Jilin Agricultural University, Changchun, China
| | - Rui Du
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
- Laboratory of Production and Product Application of Sika Deer of Jilin, Jilin Agricultural University, Changchun, China
- Key Laboratory of Animal Production, Product Quality and Security, Ministry of Education, Jilin Agricultural University, Changchun, China
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29
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Zhu YQ, Fan JN, Yu CQ, Lyu J, Guo Y, Pei P, Xia QM, Du HD, Chen YP, Chen JS, Chen ZM, Li LM. [Correlation between sleep status and frailty in adults aged 30-79 years in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1349-1356. [PMID: 36117338 DOI: 10.3760/cma.j.cn112338-20220110-00018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To explore the correlation between sleep status and frailty in adults aged 30-79 years in China, and explore the potential effect modification of general and central obesity. Methods: Based on the baseline data of the China Kadoorie Biobank, we used multinomial logistic regression to analyze the correlation between long and short sleep duration, insomnia disorder, snoring, and unhealthy sleep score with risks of pre-frailty and frailty. Both overall and obesity-stratified analyses were performed. Result: Among the 512 724 participants, 2.3% had frailty and 40.1% had pre-frailty. There was a U-shaped relationship between sleep duration and frailty score. Short (OR=1.21, 95%CI: 1.19-1.23) or long sleep duration (OR=1.19, 95%CI: 1.17-1.21), insomnia disorder (OR=2.09, 95%CI: 2.02-2.17), and snoring (OR=1.61, 95%CI: 1.59-1.63) were all positively correlated with pre-frailty, and dose-response relationships were observed between unhealthy sleep score and pre-frailty (P for trend<0.001), with OR values of 1.46 (1.44-1.48), 1.97 (1.93-2.00) and 3.43 (3.21-3.67) respectively for those having unhealthy sleep score of 1 to 3. These sleep problems were also positively correlated with frailty. Compared with the overweight or obesity group, stronger relationships were observed between short sleep duration and frailty or pre-frailty and between insomnia disorder and pre-frailty, while the relationships between snoring and frailty and pre-frailty were weaker in the participants with normal weight (P for interaction <0.007 for all). We also observed similar effect modification by central obesity. Conclusion: Long or short sleep duration, insomnia disorder, snoring and higher unhealthy sleep scores were positively correlated with pre-frailty or frailty, general and central obesity status could modify the relationships.
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Affiliation(s)
- Y Q Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J N Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Y Guo
- Fuwai Hospital, Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing 100037, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Q M Xia
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H D Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Y P Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, UK Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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30
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Almeida SRM, Stefano Filho CA, Vicentini J, Novi SL, Mesquita RC, Castellano G, Li LM. Modeling functional network topology following stroke through graph theory: functional reorganization and motor recovery prediction. Braz J Med Biol Res 2022; 55:e12036. [PMID: 35976269 PMCID: PMC9377533 DOI: 10.1590/1414-431x2022e12036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 06/10/2022] [Indexed: 11/21/2022] Open
Abstract
The study of functional reorganization following stroke has been steadily growing
supported by advances in neuroimaging techniques, such as functional magnetic
resonance imaging (fMRI). Concomitantly, graph theory has been increasingly
employed in neuroscience to model the brain's functional connectivity (FC) and
to investigate it in a variety of contexts. The aims of this study were: 1) to
investigate the reorganization of network topology in the ipsilesional (IL) and
contralesional (CL) hemispheres of stroke patients with (motor stroke group) and
without (control stroke group) motor impairment, and 2) to predict motor
recovery through the relationship between local topological variations of the
functional network and increased motor function. We modeled the brain's FC as a
graph using fMRI data, and we characterized its interactions with the following
graph metrics: degree, clustering coefficient, characteristic path length, and
betweenness centrality (BC). For both patient groups, BC yielded the largest
variations between the two analyzed time points, especially in the motor stroke
group. This group presented significant correlations (P<0.05) between average
BC changes and the improvements in upper-extremity Fugl-Meyer (UE-FM) scores at
the primary sensorimotor cortex and the supplementary motor area for the CL
hemisphere. These regions participate in processes related to the selection,
planning, and execution of movement. Generally, higher increases in average BC
over these areas were related to larger improvements in UE-FM assessment.
Although the sample was small, these results suggest the possibility of using BC
as an indication of brain plasticity mechanisms following stroke.
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Affiliation(s)
- S R M Almeida
- Departamento de Neurologia, Faculdade de Ciências Médicas, Universidade de Campinas, Campinas, SP, Brasil.,BRAINN (Brazilian Institute of Neuroscience and Neurotechnology), Campinas, SP, Brasil
| | - C A Stefano Filho
- BRAINN (Brazilian Institute of Neuroscience and Neurotechnology), Campinas, SP, Brasil.,Grupo de Neurofísica, Instituto de Física "Gleb Wataghin", Universidade de Campinas, Campinas, SP, Brasil
| | - J Vicentini
- Departamento de Neurologia, Faculdade de Ciências Médicas, Universidade de Campinas, Campinas, SP, Brasil.,BRAINN (Brazilian Institute of Neuroscience and Neurotechnology), Campinas, SP, Brasil
| | - S L Novi
- BRAINN (Brazilian Institute of Neuroscience and Neurotechnology), Campinas, SP, Brasil.,Grupo de Neurofísica, Instituto de Física "Gleb Wataghin", Universidade de Campinas, Campinas, SP, Brasil
| | - R C Mesquita
- BRAINN (Brazilian Institute of Neuroscience and Neurotechnology), Campinas, SP, Brasil.,Grupo de Neurofísica, Instituto de Física "Gleb Wataghin", Universidade de Campinas, Campinas, SP, Brasil
| | - G Castellano
- BRAINN (Brazilian Institute of Neuroscience and Neurotechnology), Campinas, SP, Brasil.,Grupo de Neurofísica, Instituto de Física "Gleb Wataghin", Universidade de Campinas, Campinas, SP, Brasil
| | - L M Li
- Departamento de Neurologia, Faculdade de Ciências Médicas, Universidade de Campinas, Campinas, SP, Brasil.,BRAINN (Brazilian Institute of Neuroscience and Neurotechnology), Campinas, SP, Brasil
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31
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Wang YQ, Xiao M, Yang HM, Song MY, Zhao YX, Pang YJ, Gao WJ, Cao WH, Huang T, Yu CQ, Lyu J, Li LM, Sun DJY. [Review of genome-wide association research of aging phenotypes]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1338-1342. [PMID: 35982000 DOI: 10.3760/cma.j.cn112338-20211109-00867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
"Active health" has been emphasized in "Healthy China 2030" in dealing with the challenges of population aging, so the anti-aging strategies are requires to be more precise and effective at both individual and population levels. Aging is influenced by both genetic and environmental factors. In the recent 20 years, the research of genetics of human ageing has been greatly facilitated owning to the development of high-throughput sequencing techniques, statistical methodology for multi-omics data, as well as the growing qualified evidence of large-scale population-based genomic research. This paper provides a review of genome-wide association research of aging.
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Affiliation(s)
- Y Q Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - M Xiao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - H M Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - M Y Song
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y X Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y J Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - W J Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - W H Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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32
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Liao CX, Li LM. [Conception and practice of "One Health"]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:987-995. [PMID: 35856190 DOI: 10.3760/cma.j.cn112338-20220513-00410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Ongoing COVID-19 pandemic highlights the importance of concept of "One Health" in addressing major global public health problems and human health concerns. "One Health" refers to using an integrated, unifying approach to sustainably balance and optimize the health of people, animals and ecosystems through multi-sector, multi-discipline and trans-region collaboration. In this paper, we systematically elaborate on "One Health" in terms of its conception, research area and its practice in China and put forward policy suggestions for the implementation of "One Health" in China, so as to facilitate the realization of the goals of "Healthy China 2030".
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Affiliation(s)
- C X Liao
- School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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33
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Han YT, Lyu J, Yu CQ, Li LM. [Development and applications of digital public health]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:791-797. [PMID: 35725331 DOI: 10.3760/cma.j.cn112338-20220314-00184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Rapidly upgraded digital technology has impacted all walks of life, and public health field is also undergoing a digital transformation. The COVID-19 pandemic has accelerated the wide use of digital technology in the prevention and control of infectious diseases, greatly enhancing the capacity of public health system in emergency response and routine disease prevention and control. This article summarizes the definition of digital public health, applications of digital technology in the prevention and control of infectious diseases and chronic non-communicable diseases, as well as in public health surveillance, discusses the challenges in the development of digital public health and introduces the eight principles for digital transformation of public health proposed by the Pan American Health Organization.
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Affiliation(s)
- Y T Han
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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34
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Liao CX, Li LM, Wang L, Lyu J. [Application of epidemiology research in evaluations of COVID-19 vaccines in both clinical trial and clinical use]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:7-13. [PMID: 35130646 DOI: 10.3760/cma.j.cn112338-20210902-00705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Safe and effective vaccines are essential for the prevention and control of COVID-19 pandemic. In the evaluations of COVID-19 vaccines' safety and efficiency in experimental research and the surveillance for COVID-19 vaccines' safety and population based effectiveness in observational study, epidemiology research has played a critical role. By analyzing research cases both at home and abroad, this paper systematically introduces the applications and design elements of clinical trial, cohort study and case-control study in the evaluations of COVID-19 vaccines' safety and efficiency in clinical trials and safety and population based effectiveness clinical use to enrich epidemiology teaching cases. After the marketing of COVID-19 vaccines, some foreign countries rapidly organized and carried out population based observational research for the clinical evaluation of the vaccines with sample size ranging from several hundred thousand to ten million. Benefiting from the developed public health, medical and medical insurance information systems in these countries, their data can be shared for integrated analysis, which would has important enlightenment for the development of medical big data in China.
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Affiliation(s)
- C X Liao
- School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
| | - L Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Jun Lyu
- School of Public Health, Peking University, Beijing 100191, China
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Zhou TY, Su J, Zhou JY, Tao R, Lu Y, Hua YJ, Jin JR, Guo Y, Lyu J, Chen ZM, Li LM, Wu M. [Mediating effect of physical activity on association between sedentary leisure-time and obesity indexes among hypertensive individuals]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:2125-2130. [PMID: 34954975 DOI: 10.3760/cma.j.cn112338-20210112-00031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To explore the mediating effect of physical activity on association between sedentary leisure-time and obesity indexes among hypertensive individuals. Methods: After excluding of those with a prior history of heart disease, stroke and cancer, a total of 20 178 hypertensive participants in the China Kadooire Biobank (CKB) study from Wuzhong district of Suzhou city were included. Mediating effect analysis was used to analyze the mediating effect of physical activity (PA) on correlation between sedentary leisure-time and body fat percentage (BFP), waist circumference (WC) and body mass index (BMI). Results: After adjusted for age, gender, smoking status, alcohol consumption, education levels, intake frequencies of meat and intake frequencies of fresh fruit, sedentary leisure-time (SLT) was negatively correlated with PA (β=-0.246, P<0.001), but positively associated with BFP (β=0.061, P<0.001), WC (β=0.087, P<0.001) and BMI (β=0.071, P<0.001). After including the mediator variable PA, the direct effect of SLT on obesity index was still significant. PA was negatively correlated with BFP, WC and BMI (β=-0.052, -0.083 and -0.028, respectively, P<0.001). Analysis of mediating effect indicated that the association of SLT with BFP, WC and BMI were partly mediated by PA, the proportion of mediating effect was 20.820%, 23.421% and 9.915%. Stratified by gender, PA had mediating effect on SLT and all obesity indexes in women, while only on SLT and BFP and WC in men. Conclusions: There is a significant mediating effect of PA on correlation between SLT and obesity indexes among hypertensive individuals. Hypertensive patients should increase the level of physical activity and reduce sedentary behavior to achieve a profounder healthy effect.
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Affiliation(s)
- T Y Zhou
- Changzhou Center for Disease Control and Prevention, Changzhou 213000, China Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - J Su
- Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J Y Zhou
- Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - R Tao
- Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Y Lu
- Department of Non-communicable Chronic Disease Control, Suzhou Center for Disease Control and Prevention, Suzhou 215004, China
| | - Y J Hua
- Department of Non-communicable Chronic Disease Control, Suzhou Center for Disease Control and Prevention, Suzhou 215004, China
| | - J R Jin
- Wuzhong Center for Disease Control and Prevention, Suzhou 215100, China
| | - Y Guo
- Department of China Kadoorie Biobank, Chinese Academy of Medical Sciences, Beijing 102308, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Z M Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - M Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
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Wen QR, Wu M, Liu Q, Lyu J, Guo Y, Bian Z, Pei P, Du HD, Chen JS, Yu CQ, Chen ZM, Li LM. [Correlation between chronic diseases and low muscle mass, strength and quality in adults in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1948-1954. [PMID: 34818839 DOI: 10.3760/cma.j.cn112338-20200910-01146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To explore the correlation between chronic diseases and muscle mass, strength and quality in adults in China. Methods: Based on the second resurvey of China Kadoorie Biobank (CKB) in 2013-2014, logistic regression models were used to analyze the correlation of different types, number and duration of chronic diseases with low muscle mass, handgrip strength and muscle quality. Results: The prevalence rate of diabetes, coronary heart disease (CHD), stroke and chronic obstructive pulmonary disease (COPD) were 9.6%, 5.8%, 3.2% and 26.8%, respectively, and 38.8% of the participants had at least one disease, and they were more likely to have low handgrip strength and low arm muscle quality (AMQ), and the longer the chronic diseases duration, the higher the risk. The ORs (95%CIs) for low handgrip strength and low AMQ in patients with 1 chronic disease for more than 10 years was 1.64 (1.42-1.90) and 1.83 (1.60-2.10), respectively. The ORs (95%CIs) for low handgrip strength were 1.26 (1.17-1.37), 1.42 (1.23-1.64) and 2.27 (1.55-3.32) and the ORs (95%CIs) for low AMQ were 1.28 (1.18-1.38), 1.67 (1.46-1.92) and 2.41(1.69-3.45), respectively, in patients with 1, 2, ≥3 chronic diseases, the correlation showed a linear trend (P for trend <0.001). Diabetes, CHD and stroke were positively correlated with low handgrip strength and low AMQ. Compared with participants without COPD, COPD patients were more likely to have low appendicular skeletal muscle mass index (ASMI), low total skeletal muscle mass index (TSMI) and low handgrip strength, and the risk was positively correlated with disease duration. Conclusions: Patients with chronic diseases were more likely to have lower muscle strength and muscle quality, especially the patients with multi diseases and longer disease duration. The proportion of low handgrip strength and low AMQ was higher in patients who reported multi-prevalence and longer duration of chronic diseases.
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Affiliation(s)
- Q R Wen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - M Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Q Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H D Du
- Nuffield Department of Population Health, Center for Clinical and Epidemiological Studies, University of Oxford, Oxford OX3 7LF, UK
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z M Chen
- Nuffield Department of Population Health, Center for Clinical and Epidemiological Studies, University of Oxford, Oxford OX3 7LF, UK
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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Hua YJ, Lu Y, Wang LC, Yu H, Duan YJ, Lyu J, Li LM. [Association between perception of community environment and physical activity in residents in Suzhou]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1969-1975. [PMID: 34818842 DOI: 10.3760/cma.j.cn112338-20200929-01208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To estimate physical activity level in residents in Suzhou and explore the association between community environment and physical activity level in local residents. Methods: Through multistage stratified random sampling, residents aged 25-64 years in Suzhou were surveyed by face-to face interview in 2017. Physical activity levels were assessed by the international physical activity questionnaire-long version (IPAQ-L). Perceptions of community environment were assessed by Neighborhood Environment Walkability Scale-Abbreviated (NEWS-A). Results: Among the local residents surveyed in Suzhou,the median of weekly total physical activity level was 3 610.42 MET-min/w. The level of occupational physical activity was higher than that of transportation, household and leisure-time related physical activity levels. After controlling for socio-demographic factors, public service access was negatively associated with the overall physical activity level (OR=0.522,95%CI:0.329-0.830), land-use mix-diversity was negatively associated with the level of occupational physical activity level (OR=0.701,95%CI: 0.492-0.999), infrastructure of walk and cycle ways was positively associated with occupational physical activity level (OR=1.603,95%CI:1.004-2.559); traffic hazards were negatively associated with the transportation physical activity level (OR=0.642,95%CI: 0.416-0.990); residential building density was positively associated with leisure-time physical activity level (OR=1.001,95%CI: 1.000-1.002), and the perceptions level of community environment were positively associated with the occupational, transportation, household and overall physical activity levels (OR=1.889,95%CI: 1.176-3.033;OR=1.671,95%CI: 1.120-2.495;OR=1.775,95%CI: 1.143-2.756;OR=1.593,95%CI: 1.079-2.350). Conclusion: Improving infrastructure of walk and cycle ways and beautifying community environment play an important role in increasing the physical activity level of the residents.
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Affiliation(s)
- Y J Hua
- Department of Non-communicable Disease Control and Prevention, Suzhou City Center for Disease Control and Prevention, Suzhou 215004, China
| | - Y Lu
- Department of Non-communicable Disease Control and Prevention, Suzhou City Center for Disease Control and Prevention, Suzhou 215004, China
| | - L C Wang
- Department of Non-communicable Disease Control and Prevention, Suzhou City Center for Disease Control and Prevention, Suzhou 215004, China
| | - H Yu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Y J Duan
- School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- School of Public Health, Peking University, Beijing 100191, China
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38
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Yang SC, Li CY, Hu YZ, Sun QF, Pan JQ, Sun DJY, Ma BS, Lyu J, Li LM. [gwasfilter: an R script to filter genome-wide association study]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1876-1881. [PMID: 34814627 DOI: 10.3760/cma.j.cn112338-20200731-01003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To develop an R script that can efficiently and accurately filter genome-wide association studies (GWASs) from the GWAS Catalog Website. Methods: The selection principles of GWASs were established based on previous studies. The process of manual filtering in the GWAS Catalog was abstracted as standard algorithms. The R script (gwasfilter.R) was written by two programmers and tested many times. Results: It takes six steps for gwasfilter.R to filter GWASs. There are five main self-defined functions among this R script. GWASs can be filtered based on "whether the GWAS has been replicated" "sample size" "ethnicity of the study population" and other conditions. It takes no more than 1 second for this script to filter GWASs of a single trait. Conclusions: This R script (gwasfilter.R) is user-friendly and provides an efficient and standard process to filter GWASs flexibly. The source code is available at github (https://github.com/lab319/gwas_filter).
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Affiliation(s)
- S C Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Y Li
- College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China
| | - Y Z Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Q F Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Q Pan
- College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - B S Ma
- College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
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Chen L, Fan JN, Sun DJY, Li LM, Lyu J. [Progress in research of measurements of biological age]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1683-1688. [PMID: 34814601 DOI: 10.3760/cma.j.cn112338-20201210-01396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Biological age (BA) can be used to measure the aging process of individuals and make up for the deficiency that chronological age cannot explain the discrepancy of health status among individuals at same chronological age. In recent years, multiple measurements of BA based on clinical or phenotypic, molecular biological, or compound indicators have emerged. In the paper, we summarize some common measurements of BA and compare their validities.
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Affiliation(s)
- L Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J N Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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40
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Sun QF, Lyu J, Li LM. [Development and application of health indicators of life expectancy]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1677-1682. [PMID: 34814600 DOI: 10.3760/cma.j.cn112338-20200717-00955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Health indicators of life expectancy are widely used to evaluate the overall health level of population or the disease burden in population. With the increase of the cohorts to which long-term follow-ups were made, more studies have explored the influencing factors of such indicators. This paper summarizes the commonly used indicators and their definitions, the basic principles of calculation, and the application of such indicators in the epidemiological studies of chronic diseases.
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Affiliation(s)
- Q F Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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41
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Xi YE, Gao WJ, Lyu J, Yu CQ, Wang SF, Huang T, Sun DJY, Liao CX, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Cao WH, Li LM. [Gene-body mass index interaction on coronary heart disease in Chinese adult twins]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1573-1579. [PMID: 34814586 DOI: 10.3760/cma.j.cn112338-20201130-01362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To explore the gene-body mass index (BMI) interaction on coronary heart disease (CHD) in the Chinese adult twins. Methods: A total of 20 340 same-sex twin pairs registered in the Chinese National Twin Registry (CNTR) were enrolled in this study. Classical twin structure equation model was used to estimate the gene-BMI interaction on CHD. Results: After adjusting for age, we found that genetic variance of CHD differed as the function of BMI in male twins, which indicated the presence of a gene-BMI interaction on CHD (P=0.008).The genetic moderating effect (βa) was -0.14 (95%CI: -0.22--0.04), indicating that for each logarithmic transformation value of BMI increase, genetic path parameters would decrease by 0.14, which would result in the decrease of genetic variance of CHD. And the heritability of CHD was 0.77 (95%CI: 0.65-0.86) among the male twins with lower BMI (<24.0 kg/m2), but 0.56 (95%CI: 0.33-0.74) among the male twins with high BMI (≥24.0 kg/m2). However, there was no evidence suggesting that BMI could moderate genetic variants of CHD in female. Conclusion: We found a significant gene-BMI interaction on CHD in the Chinese male adult twins in China, and the heritability of CHD was higher among the twins whose BMI was <24.0 kg/m2.
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Affiliation(s)
- Y E Xi
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - W J Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S F Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C X Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z C Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - H Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X P Wu
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - F Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - G H Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - X J Wang
- Qinghai Center for Diseases Prevention and Control, Xining 810007, China
| | - Y Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China
| | - J Deng
- Handan Center for Disease Control and Prevention, Handan 056001, China
| | - L Lu
- Yunnan Center for Disease Control and Prevention, Kunming 650034, China
| | - W H Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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42
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Fan JN, Yang SC, Sun ZJ, Wang H, Ma Y, Wang B, Yu CQ, Ning Y, Lyu J, Li LM. [Transitions on frailty status and related risk factors for its status worsening: finding from the Beijing MJ Health Screening Center]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1453-1459. [PMID: 34814567 DOI: 10.3760/cma.j.cn112338-20201217-01416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To evaluate the transitions of frailty status and related factors influencing its worsening in middle-aged and elderly adults. Methods: Data was obtained from the Beijing MJ Health Screening Center. A total of 13 689 participants who attended health checkups at least twice during 2008-2019 and had more than three years' intervals during these two health checkups were included in the study. The frailty index comprising 28 variables was used to measure frailty status. Frailty was defined as frailty index ≥0.25, and prefrailty was defined as frailty index >0.10 and <0.25. Logistic regression analysis was performed to investigate the association of socio-demographic factors and lifestyle characteristics with the worsening of frailty status, stratified by frailty status at the first health checkup. Results: The mean age at the first and last health checkups were (42.3±9.2) and (47.9±9.3) years, respectively. The mean interval during these two health checkups was (5.7±1.9) years. At the first health checkup, the prevalence of frailty and prefrailty were 2.5% and 50.3%, respectively. While at the last health checkup, the prevalence of frailty and prefrailty rose to 3.9% and 55.4%. Of all participants, 67.3% remained in the same frailty state, 21.2% worsening, and 12.5% improving. In robust participants at the first health checkup, older age, female, low education level, smoking cessation, daily smoking, being general obesity measured by BMI or central obesity measured by WHR showed an increased the risk of worsening frailty status. However, in prefrail participants at the first health checkup, older age, female, general, or central obesity presented as risk factors for worsening frailty status. Conclusion: Modifiable factors such as low education level, smoking, and obesity may increase the risk of worsening frailty status.
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Affiliation(s)
- J N Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S C Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z J Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - H Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Ma
- Meinian Institute of Health, Beijing 100191, China
| | - B Wang
- Meinian Institute of Health, Beijing 100191, China Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
| | - Y Ning
- Meinian Institute of Health, Beijing 100191, China Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
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43
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Hu XH, Meng L, Gao YX, Man SLM, Ma Y, Jin C, Wang B, Ning Y, Li LM. [Characteristics of human papillomavirus infection and abnormal cervical cytology in health check-up females in Shenzhen]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1205-1212. [PMID: 34814532 DOI: 10.3760/cma.j.cn112338-20210106-00007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To describe the characteristics of human papillomavirus infection and thinprep cytologic test (TCT) outcome in health check-up females in Shenzhen. Methods: Use cross-sectional design, collect information from data from health check-up females in Shenzhen and describe characteristics of HPV infections screening and TCT outcomes. Results: We collected the data of 75 754 females, 103 508 females and 69 964 females received HPV detection, TCT and combined detection respectively. HPV standardized infection rate was 19.89% (95%CI: 19.45%-20.33%) and showed a "U-shaped" pattern in age distribution. The most prevalent HPV genotypes were 52, 51, 16, 58 and 53. Infection rate was higher for high-risk HPV than low-risk HPV genotype. Single infection was more common than its multiple infection. In addition, 7.48% (95%CI: 7.22%-7.75%) women were TCT positive, of whom 4.58% (95%CI: 4.40%-4.76%), 2.54% (2.40%-2.69%), 0.27% (95%CI: 0.23%-0.31%) had atypical squamous cells, low-grade squamous intraepithelial lesions and high-grade squamous intraepithelial lesions, respectively. Overall and subtype HPV infection rates increased with severity of abnormal cervical cytology. The most prevalent HPV genotypes were 52, 58 and 16 in women with abnormal cervical cytology. Conclusions: HPV prevalence remains at a high level in Shenzhen. This study suggests that attention should be paid to HPV screening, especially in young, perimenopausal women and in high risk HPV genotype infection. Timely follow-up and cervical cytology screening are required for women with high-risk HPV infection or persistent infection. Future vaccination strategies should take account of prevalent HPV genotype.
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Affiliation(s)
- X H Hu
- Shenzhen Health Development Research Center, Shenzhen 518028, China
| | - L Meng
- Meinian Institute of Health, Beijing 100191, China Peking University Health Science Center Meinian Public Health Institute/Peking University Center for Public Health and Epidemic Preparedness & Response/Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - Y X Gao
- Meinian Institute of Health, Beijing 100191, China Peking University Health Science Center Meinian Public Health Institute/Peking University Center for Public Health and Epidemic Preparedness & Response/Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - S L M Man
- Meinian Institute of Health, Beijing 100191, China Peking University Health Science Center Meinian Public Health Institute/Peking University Center for Public Health and Epidemic Preparedness & Response/Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - Y Ma
- Meinian Institute of Health, Beijing 100191, China Peking University Health Science Center Meinian Public Health Institute/Peking University Center for Public Health and Epidemic Preparedness & Response/Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - C Jin
- Meinian Institute of Health, Beijing 100191, China Peking University Health Science Center Meinian Public Health Institute/Peking University Center for Public Health and Epidemic Preparedness & Response/Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - B Wang
- Peking University Health Science Center Meinian Public Health Institute/Peking University Center for Public Health and Epidemic Preparedness & Response/Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - Y Ning
- Meinian Institute of Health, Beijing 100191, China
| | - L M Li
- Peking University Health Science Center Meinian Public Health Institute/Peking University Center for Public Health and Epidemic Preparedness & Response/Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
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Chen SJ, Gao WJ, Lyu J, Yu CQ, Wang SF, Huang T, Sun DJY, Liao CX, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Cao WH, Li LM. [Modification of physical activity on genetic effects of type 2 diabetes mellitus: a twin pairs cohort study in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1167-1173. [PMID: 34814526 DOI: 10.3760/cma.j.cn112338-20201023-01265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To explore the modification effect of physical activity on the genetic effects of type 2 diabetes mellitus (T2DM). Methods: The univariate moderation model was fitted to calculate the modifying effect of physical activity on the genetic effects of T2DM based on the data of 12 107 pairs of same gender twins aged 30 years and older enrolled by the Chinese National Twin Registry in 11 provinces/cities in China. Results: After adjusting for age and gender, the heritability of T2DM was 0.56 (0.31-0.84). Qualified physical activity could attenuate the genetic effects of T2DM. The heritability of T2DM in twin pairs with qualified physical activity was 0.46 (0.06-0.88), which was lower than that in twin pairs without qualified physical activity during the same model [0.68(0.36-0.94)]. Conclusion: T2DM is a moderate genetic disease, physical activity can modify the genetic effects of T2DM.
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Affiliation(s)
- S J Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - W J Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - S F Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - C X Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Z C Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - H Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210008, China
| | - X P Wu
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - F Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - G H Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - X J Wang
- Qinghai Center for Disease Prevention and Control, Xining 810007, China
| | - Y Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China
| | - J Deng
- Handan Center for Disease Control and Prevention, Handan 056001, China
| | - L Lu
- Yunnan Center for Disease Control and Prevention, Kunming 650037, China
| | - W H Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
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Fan JN, Sun ZJ, Yu CQ, Guo Y, Sun DJY, Pei P, Du HD, Chen JS, Chen ZM, Lyu J, Li LM. [Comparison of Fried phenotype and frailty index and their associations with risk of mortality]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1179-1187. [PMID: 34814528 DOI: 10.3760/cma.j.cn112338-20210310-00192] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To compare the consistency of frailty status measured by Fried phenotype and frailty index composed of different numbers of deficits, and their prospective associations with risk of mortality. Methods: Data of 23 615 participants from the second resurvey of the China Kadoore Biobank (CKB) was used. Fried phenotype was constructed using five phenotypes, and frailty indexes (FI) were constructed using 28 and 40 deficits, respectively. We calculated the Weighted Kappa coefficient to compare the consistency of three measures in the classification of frailty status. Cox regression was performed to analyze the association of frailty status with risk of mortality. Results: The frailty prevalence calculated by Fried phenotype, FI-28, and FI-40 were 5.4%, 7.9%, and 4.0%, respectively. The Kappa coefficients of Fried phenotype with FI-28 and FI-40 were 0.357 and 0.408, respectively. The Kappa coefficients of FI-28 and FI-40 was 0.712. During an average of (3.9±0.5) years of follow-up, 755 participants died. When Fried phenotype was used, compared with the robust participants, the prefrail and frail participants had increased risk of mortality, the multivariable-adjusted HRs were 1.60 (95%CI: 1.32-1.94) and 2.90 (95%CI: 2.25-3.73), respectively. When FI-28 was used, the corresponding HRs were 1.71 (95%CI: 1.39-2.11) and 2.52 (95%CI:1.95-3.27) for prefrail and frail participants, and when FI-40 was used, the corresponding HRs were 1.98 (95%CI:1.60-2.44) and 3.71 (95%CI: 2.80-4.91). The association of frailty status with mortality differed in different age groups, with the association stronger in younger adults than in older adults. Conclusion: Fried phenotype and frailty index constituted with different numbers of deficits showed good consistency; which can be used to well predict the risk of mortality.
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Affiliation(s)
- J N Fan
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - Z J Sun
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - D J Y Sun
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H D Du
- Medical Research Council Population Health Research Unit at the University of Oxford/Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Medical Research Council Population Health Research Unit at the University of Oxford/Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - J Lyu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
| | - L M Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
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Peng HX, Gao WJ, Lyu J, Yu CQ, Huang T, Sun DJY, Liao CX, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Cao WH, Li LM. [A descriptive analysis on body mass index distribution in adult twin pairs in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1160-1166. [PMID: 34814525 DOI: 10.3760/cma.j.cn112338-20200916-01164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To describe the differences in body mass index (BMI) distribution in adult twins registered in Chinese National Twin Registry (CNTR), and provide evidence for the risk factor analysis and prevention and control of overweight or obesity. Methods: A total of 32 725 twin pairs aged 18 years and above who completed the questionnaire survey during 2010-2018 and had complete registered information in CNTR and normal body weight and length were included in the analysis on the population and region specific distributions of BMI of twin pairs and the difference in BMI in twin pairs. Results: The twin pairs included in the analysis were aged (34.6±12.4) years, the twin pairs of same gender accounted for 79.7%. The average BMI was 22.5 kg/m2. The overall prevalence of obesity and overweight was 4.9% and 23.7%, respectively. Participants who were men, 50-59 years old, married, had lower education level, and lived in northern China had higher overweight rate and obesity rate (P<0.001). The difference in overweight or obesity prevalence between monozygotic (MZ) twin pars and dizygotic (DZ) twin pairs was not significant, but firstborn twin pairs had slightly higher rates of overweight and obesity than later-born twin pairs (P<0.05). The analysis in same gender-twin pairs indicated that the difference in BMI was associated with age (trend test: P<0.001), and the difference was more obvious in DZ twin pair in MZ pair and this difference increased with age. The concordant rate of BMI was higher in MZ twin pairs than DZ twin pairs (P<0.05). Conclusion: The distribution of BMI of twin pairs varied with population and region and BMI varied with age due to its genetic nature.
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Affiliation(s)
- H X Peng
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - W J Gao
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - C X Liao
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - Z C Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - H Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X P Wu
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Z Dong
- Beijing Center for Disease Control and Prevention, Beijing 100013, China
| | - F Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336,China
| | - G H Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - X J Wang
- Qinghai Center for Disease Control and Prevention, Xining 810007, China
| | - Y Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China
| | - J Deng
- Handan Center for Disease Control and Prevention, Handan 056001, China
| | - L Lu
- Yunnan Center for Disease Control and Prevention, Kunming 650034, China
| | - W H Cao
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistc, School of Public Health, Peking University, Beijing 100191, China
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Yang RT, Han YT, Lyu J, Yu CQ, Guo Y, Bian Z, Pei P, Du HD, Chen JS, Chen ZM, Huang T, Li LM. [Prevalence of heart failure and its association with smoking behavior in adults from 10 regions of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:787-793. [PMID: 34814468 DOI: 10.3760/cma.j.cn112338-20200703-00916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To describe the prevalence of heart failure in China and to explore the prospective association between smoking behavior and the risk of incident heart failure. Methods: The subjects were from the China Kadoorie Biobank (CKB) and the baseline survey was conducted from June 2004 to July 2008. A total of 487 197 subjects were included in this study, after excluding those with missing BMI information, lost follow-up immediately after baseline investigation, and self-reported coronary heart disease, stroke, or malignant tumor at baseline. This study included data from baseline and follow-up until December 31, 2016. Cox proportional hazards regression models were used to estimate the association between smoking behavior and the risk of heart failure. Results: The median follow-up time was 10.15 years, during which a total of 4 208 new cases of heart failure occurred, with a crude incidence rate of 0.87/1 000 person-years and a cumulative incidence rate of 0.86%. The higher the age at baseline, the higher the incidence of heart failure. The incidence of heart failure in high age group, rural area and male was higher than that in low age group, urban area and female population respectively. Compared with non-smokers, there was no significant difference in the risk of heart failure in occasional smokers (HR=1.05; 95%CI: 0.91-1.22), while former smokers (HR=1.48; 95%CI:1.31-1.67) and current smokers (HR=1.34;95%CI:1.22-1.49) increased risk. Former smokers (HR=1.33;95%CI:1.21-1.46) and current smokers (HR=1.46; 95%CI:1.31-1.64) had higher risk of heart failure than non-smokers or occasional smokers. No dose-response relationship was observed between the number of cigarettes smoked per day and the risk of heart failure in current and former smokers (for trend P=0.347 and 0.066). Compared with non-smokers or occasional smokers, the hazard ratios of <5, 5-, 10- and ≥20 years since quit smoking were 1.61 (95%CI: 1.36-1.92), 1.55 (95%CI: 1.27-1.90), 1.24 (95%CI: 1.02-1.51) and 1.35 (95%CI: 1.08-1.68), respectively (for trend P=0.091). The hazard ratios of quitting smoking due to disease and other reasons were 1.62 (95%CI:1.41-1.86) and 1.23 (95%CI: 1.04-1.45). Healthy smoking behaviors had a significant protective effect on heart failure compared with non-healthy smoking behaviors (HR=0.75, 95%CI:0.69-0.81). Area and family history of coronary heart disease, and the smoking behaviors interacted with the risk of heart failure (for all interactions were P<0.05). Conclusions: The incidence of heart failure in China is higher in males than females, higher in rural areas than in urban areas, and increases with age. Both former smokers and current smokers had a higher risk of heart failure than nonsmokers or occasional smokers, regardless of the frequency, amount, duration, and reason for quitting. Smoking is an important risk factor for heart failure and comprehensive anti-smoking measures should be maintained.
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Affiliation(s)
- R T Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - Y T Han
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H D Du
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health/Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health/Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Peking University, Beijing 100191, China
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Sun ZJ, Fan JN, Yu CQ, Guo Y, Bian Z, Pei P, Du HD, Chen JS, Chen ZM, Lyu J, Li LM. [Prevalence, patterns and long-term changes of multimorbidity in adults from 10 regions of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:755-762. [PMID: 34814464 DOI: 10.3760/cma.j.cn112338-20200305-00259] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To describe the prevalence of multimorbidity and its secular trend, and to explore the common patterns of multimorbidity in Chinese adults. Methods: A total of 25 033 participants who attended the second resurvey of China Kadoorie Biobank (CKB) were included in the study. We used data collected both at baseline (2004-2008) and at resurvey (2013-2014). A total of 13 chronic conditions were included, defined by self-reported, physical examination, and blood sample testing. Multimorbidity was defined as co-existence of two or more chronic conditions. Patterns of multimorbidity were explored using hierarchical cluster analysis. Results: The mean age of participants was (51.5±10.1) years at baseline and (59.5±10.2) years at second resurvey. The prevalence of multimorbidity increased from 33.5% to 58.1% over (8.0±0.8) years of follow-up. The average number of chronic conditions per person increased from 1.15 to 1.82 and all participants increased 0.42 conditions per 5 years on average. Participants who were older, less educated or lived in urban areas had a higher prevalence of multimorbidity and a higher increase in the number of chronic conditions. The increase in the number of chronic conditions was also higher among smokers and heavy alcohol drinkers. The most common multimorbidity pattern in the present population consisted of obesity, hypertension, diabetes, stroke, and heart disease. Conclusions: The prevalence of multimorbidity in Chinese adults is increasing rapidly due to ageing population. Populations of different sociodemographic background and lifestyle habits may have different prevalence of multimorbidity and changes in rates over time.
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Affiliation(s)
- Z J Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - J N Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H D Du
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health/Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health/Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
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Shen ZW, Wei YX, Yu CQ, Guo Y, Bian Z, Pei P, Chen JS, Chen ZM, Lyu J, Li LM. [Descriptive analysis of fracture hospitalization rate in adults from 10 regions of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:771-779. [PMID: 34814466 DOI: 10.3760/cma.j.cn112338-20200619-00862] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To analyze the epidemiological distributions of fracture hospitalization. Methods: The present study included participants who participated in the baseline survey of China Kadoorie Biobank (CKB) and excluded participants who were lost to follow up or died before 2009, leaving a total of 506 004 participants. Negative binomial regression models were used to analyze the epidemiological distribution of any fracture and fracture at five specific body sites (upperlimb, lowerlimb, spine, pelvis and hip) from 2009 to 2016 in 10 regions. Results: During a median follow-up of (7.7±1.2) years (total person-years 3 899 814), we documented 17 118 cases of fracture hospitalizations. The crude fracture hospitalization rate was 4.39/1 000 person-years. After controlling for the increasing age of the fixed cohort, the hospitalization rates of fractures at various body sites increased from 2009 to 2016, with an annual growth rate (95%CI) of 9.1% (8.3%-9.9%) for any fracture. The fracture hospitalization rate was higher in rural than in urban areas except for hip fractures (P<0.05) and the hospitalization rate of any fracture were 5.42/1 000 and 3.24/1 000 person-years in rural and urban areas, respectively. Fracture hospitalization rate increased by age. In participants aged <50 years, men had higher fracture hospitalization rates than women except for pelvis fracture, while in those aged ≥50 years, women had higher fracture hospitalization rates than men. Conclusions: Fracture hospitalization rates increased by age and also showed upward selular trends. As China has begun the aging process, fractures impose a heavier burden on society. It is of great significance to prevent osteoporosis-related and injury-related fractures in order to reduce fractures incidence.
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Affiliation(s)
- Z W Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Y X Wei
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
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Liu Q, Wu M, Wen QR, Du HD, Lyu J, Guo Y, Bian Z, Pei P, Chen JS, Yu CQ, Chen ZM, Li LM. [The correlation of dietary patterns with low muscle mass, strength and quality in adults from 10 regions of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:780-786. [PMID: 34814467 DOI: 10.3760/cma.j.cn112338-20200618-00855] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To evaluate the correlation of dietary patterns with low muscle mass, strength and quality in Chinese adults. Methods: Based on the second resurvey of China Kadoorie Biobank, factor analysis was conducted to derive dietary patterns from 20 food groups. Low muscle mass, strength, and quality were defined as the sex-specific lowest quintile of appendicular skeletal muscle mass index (ASMI), total skeletal muscle mass index (TSMI), handgrip strength and arm muscle quality (AMQ) according to Asian Working Group for Sarcopenia recommendations. Logistic regression models were used to evaluate the correlation of dietary patterns with low muscle mass, strength, and quality. Results: Two major dietary patterns were extracted. The balanced dietary pattern was characterized by the intake of a variety of foods, whereas the rice-meat dietary pattern was characterized by high intakes of rice, meat, poultry and fish. Individuals who had the highest quintile score of the balanced dietary pattern were less likely to have low TSMI, handgrip strength or AMQ(OR=0.83, 95%CI: 0.74-0.95 for low TSMI; OR=0.64, 95%CI: 0.56-0.74 for low handgrip strength; OR=0.82, 95%CI: 0.72-0.93 for low AMQ; for trend P<0.05). And those who scored higher on the rice-meat dietary pattern had lower risk of low muscle mass and strength (OR=0.67, 95%CI: 0.55-0.82 for low ASMI; OR=0.69, 95%CI: 0.56-0.85 for low TSMI; OR=0.74, 95%CI: 0.60-0.91 for low handgrip strength; for trend P<0.05). Conclusion: Individuals followed the balanced dietary pattern, as well as those who followed the rice-meat dietary pattern, had better levels of skeletal muscle mass, strength and quality.
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Affiliation(s)
- Q Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Pre[aredmess amd Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - M Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Pre[aredmess amd Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Q R Wen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Pre[aredmess amd Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - H D Du
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health/Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Pre[aredmess amd Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Pre[aredmess amd Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health/Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Pre[aredmess amd Response/Peking University Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing 100191, China
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