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Jiang L, Zhao N, Xu M, Pei J, Lin Y, Yao Q, Hu M, Zhu C. Incidence trends of primary liver cancer in different geographical regions of China from 1978 to 2012 and projections to 2032: An age-period-cohort analysis. Int J Cancer 2024; 154:465-476. [PMID: 37707172 DOI: 10.1002/ijc.34724] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 07/25/2023] [Accepted: 08/22/2023] [Indexed: 09/15/2023]
Abstract
China accounted for 45.3% of new cases of primary liver cancer (PLC) worldwide in 2020. While variations in PLC incidence between different regions of China and decreasing incidence in overall China have been reported, incidence patterns have not been thoroughly explored by region. We examined the nearly status and temporal trends of PLC incidence in different geographical regions in China and project future trends. The age-standardized incidence rate (ASR) was estimated for 1978 to 2012 by different geographical regions and gender in China. Age-period-cohort model was adopted to evaluate age and birth cohort effects on the temporal trend of five registries of China (Hong Kong, Shanghai, Jiashan, Harbin and Zhongshan), Bayesian age-period-cohort model was adopted to project future trends for 2013 to 2032. PLC incidence in China exhibits marked geographical disparity, with the highest incidence in Southwest China, and gender differences being particularly pronounced in South China. While other registries exhibited decreasing trend, Zhongshan exhibited an increasing trend, with the cohort effect showing a marked upward trend for females born in 1916 to 1949 and males born in 1916 to 1962. During 2013 to 2032, the ASR appears to increase by 86.9% for men and 40.0% for women in Zhongshan, while the remaining registries will decline by around 50%. Since the high incidence of hepatitis B virus infection in early birth cohort, recent rise of nonviral risk factors and the severe aging of the Chinese population, it may be critical to tailor future prevention and control strategies for PLC to the distribution of risk factors in different geographical regions.
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Affiliation(s)
- Lin Jiang
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Ningxuan Zhao
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Minghan Xu
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jiao Pei
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yidie Lin
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Qiang Yao
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Meijing Hu
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Cairong Zhu
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
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Zhang Y, Li Y, Xie X, Lin X, Huang M, Fu H, Zhou W, Ji JS, Yu Y, Tang J. Association of greenness surrounding school with aggression among adolescents: A multi-site study in China. ENVIRONMENTAL RESEARCH 2023; 234:116529. [PMID: 37394171 DOI: 10.1016/j.envres.2023.116529] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 06/25/2023] [Accepted: 06/29/2023] [Indexed: 07/04/2023]
Abstract
Association of greenness surrounding school with aggression among adolescents was not well understood. This study aimed to investigate the associations of greenness surrounding school with adolescents' total and sub-types of aggression and explore potential mediators underlying these associations. A multi-site study of 15,301 adolescents aged 11-20 years were recruited through a multistage, random cluster sampling across 5 representative provinces in mainland China. Satellite-derived Normalized Difference Vegetation Index (NDVI) values within circular buffers of 100 m, 500 m, and 1000 m surrounding school were used to indicate the adolescents' greenness exposure. We used the Chinese version of Buss and Warren's Aggression Questionnaire to assess total and sub-types of aggression. Daily concentrations of PM2.5, and NO2 were obtained from the China High Air Pollutants datasets. Per IQR increment of NDVI 100 m and 500 m surrounding school was associated with lower odds of total aggression; odds ratio [OR] with 95% CI was 0.958 (0.926-0.990) for the 100 m buffer and 0.963 (0.932-0.996) for the 500 m buffer, respectively. Similar associations can be observed in two sub-types of aggression, including verbal (NDVI 100 m: 0.960 (0.925-0.995); NDVI500m: 0.964 (0.930-0.999)) and indirect aggression (NDVI 100 m: 0.956 (0.924-0.990); NDVI500m: 0.953 (0.921-0.986)). There were no sex and age differences in the associations of school surrounding greenness with aggression, except that the beneficial associations of greenness exposure with total aggression (0.933(0.895-0.975) vs.1.005(0.956-1.056)), physical aggression (0.971(0.925-1.019) vs.1.098(1.043-1.156)), and hostility (0.942(0.901-0.986) vs.1.016(0.965-1.069)) were greater among participants aged ≥16 years than those aged<16 years. PM2.5 (proportion mediated estimates: 0.21; 95% CI: 0.08, 0.94) and NO2 (-0.78, 95% CI: -3.22, -0.37) mediated the association of NDVI 500 m surrounding school with total aggression. Our data indicated that exposure to greenness in school surroundings was associated with reduced aggression, particularly in verbal and indirect aggression. The presence of PM2.5 and NO2 partially mediated these associations.
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Affiliation(s)
- Yi Zhang
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, 511346, Guangzhou, China
| | - Yanqi Li
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, 511346, Guangzhou, China
| | - Xinyi Xie
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, 511346, Guangzhou, China
| | - Xiaoyi Lin
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, 511346, Guangzhou, China
| | - Mengxin Huang
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, 511346, Guangzhou, China
| | - Huihang Fu
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, 511346, Guangzhou, China
| | - Weiju Zhou
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - John S Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Yizhen Yu
- Department of Maternal and Child Healthcare, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13th Hangkong Road, Hankou District, 430030, Wuhan, China
| | - Jie Tang
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, 511346, Guangzhou, China.
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Zhao Y, Di X, Li S, Zeng X, Wang X, Nan Y, Xiao L, Koplan J, Chen Z, Liu S. Prevalence, frequency, intensity, and location of cigarette use among adolescents in China from 2013-14 to 2019: Findings from two repeated cross-sectional studies. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2022; 27:100549. [PMID: 35923777 PMCID: PMC9340429 DOI: 10.1016/j.lanwpc.2022.100549] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
BACKGROUND The burden of disease caused by tobacco use is a grave public health concern in China. Preventing smoking initiation among adolescents will lower the prevalence of adult tobacco use later. Surveillance of tobacco use among adolescents helps set priorities in developing tobacco control policies. We aim to ascertain the prevalence and differences of cigarette use across sex, grade, and region among middle and high school students in 2019 and associated changes from 2013-14 to 2019 among middle school students. METHODS Using a multistage stratified cluster-randomized sampling design with national and provincial representativeness, we conducted two school-based cross-sectional surveys in 2013-14 and in 2019. A total of 155 117 middle school students in grades 7-9 in 2013-14 and 288 192 middle and high school students in grades 7-12 in 2019 were interviewed. Self-reported experimental and current (past 30-day) cigarette use among middle school and high school students; frequent use (≥20 days in the past 30 days) and intensity (>20 cigarettes per day) of smoking among current cigarette users; and location of smoking among current cigarette users were investigated. All estimates were weighted based on the complex sampling design. FINDINGS The 2013-14 survey (overall response rate: 98.1%) included 155 117 middle school students (47.1% girl). The 2019 survey (overall response rate: 98.7%) included 147 270 middle school students (46.5% girl), 106 432 academic high school students (50.8% girl) and 34 490 vocational high school students (43.8% girl). In 2019, the prevalence rate of experimental and current cigarette use was 12.9% and 3.9% for middle school students, 21.6% and 5.6% for academic high school students, and 30.3% and 14.7% for vocational high school students, respectively, with large sex and regional differences. The prevalences of smoking on 20 or more days and daily cigarette use in the past 30 days were higher in vocational high school (5.9%, 4.1%) than in academic high school (1.8%, 1.2%) and middle school (0.7%, 0.5%), and higher among boys than girls. The proportions of current cigarette users smoking more than 20 cigarettes per day in the past 30 days for girls were higher than for boys in academic high school. Students usually smoke at school and at home. Boys were more likely to use cigarettes in an internet cafe, while girls often smoked at social venues. From 2013-14 to 2019, the prevalences of experimental and current cigarette use declined by 5.0% and 2.0% (percentage points), respectively, among middle school students but increased by 1.4% and 0.5% (percentage points) among rural girls. Among current cigarette users in middle school students, the proportions of heavy cigarette use (>20 cigarettes per day) have increased by 1.8 percentage points, mainly among boys, by 2.2% (percentage points). INTERPRETATION From 2013-14 to 2019, the prevalences of experimental and current cigarette use among middle school students decreased overall but increased among rural girls, while the intensity of cigarette use rose among boys. Cigarette use among Chinese adolescents differs across sex and regions, with higher rates among boys, in rural areas, and in the Western region (low socioeconomic status). Smoking is much more prevalent in vocational high schools than the other settings. Effective targeted tobacco control interventions among adolescents are urgently needed in China. FUNDING Dr. Zhuo Chen is supported by National Natural Science Foundation (Grant#: 72174098) through the University of Nottingham Ningbo China.
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Affiliation(s)
- Yan Zhao
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, 27# Nanwei Road, Xicheng District, Beijing 100050, China
- Department of Public Health, School of Public Health, Inner Mongolia Medical University, Huhehot, Inner Mongolia 010110, China
| | - Xinbo Di
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, 27# Nanwei Road, Xicheng District, Beijing 100050, China
| | - Sixuan Li
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, 27# Nanwei Road, Xicheng District, Beijing 100050, China
- Ningbo Municipal Center for Disease Control and Prevention, 237# Yongfeng Road, Haishu District, Ningbo, Zhejiang Province 315010, China
| | - Xinying Zeng
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, 27# Nanwei Road, Xicheng District, Beijing 100050, China
| | - Xiaofeng Wang
- Information Center, Chinese Center for Disease Control and Prevention, 155# Changbei Road, Changping District, Beijing 102206, China
| | - Yi Nan
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, 27# Nanwei Road, Xicheng District, Beijing 100050, China
| | - Lin Xiao
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, 27# Nanwei Road, Xicheng District, Beijing 100050, China
| | - Jeffrey Koplan
- Emory Global Health Institute, Emory University, Atlanta 30322 Georgia, USA
| | - Zhuo Chen
- College of Public Health, University of Georgia, Athens 30602 Georgia, USA
- School of Economics, University of Nottingham Ningbo China 315100 Ningbo, Zhejiang Province, China
| | - Shiwei Liu
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, 27# Nanwei Road, Xicheng District, Beijing 100050, China
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Social Differences in Health Behaviours among Jordanian Adolescents. Eur J Investig Health Psychol Educ 2022; 12:1191-1204. [PMID: 36005232 PMCID: PMC9407352 DOI: 10.3390/ejihpe12080083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/15/2022] [Accepted: 08/17/2022] [Indexed: 11/16/2022] Open
Abstract
Social differences are evident in both developed and developing countries. During adolescence, there are limited differences in morbidity and mortality, but differences do appear in terms of health behaviours. This study aims to examine the relationship(s) between social differences and students’ health behaviours. A cross-sectional study was conducted in 2020 with a sample of high school students (N = 2741, aged 13–18 years) in Jordan. Besides descriptive statistics, bivariate logistic regression analysis was used to detect the odds risk for each social difference indicator. Females were engaged in more healthy dietary and hygienic behaviours and less engaged in smoking. Males were more physically active. Adolescents with a higher parental education level were more engaged in healthy behaviours; however, they drank carbonated soft drinks and ate fast food more often. Higher SES (socioeconomic status) self-evaluation was positively associated with eating breakfast and fruit and vegetables, being physically active, drinking carbonated soft drinks, eating fast food, and smoking. Our findings suggest that socioeconomic differences are important to understanding Jordanian adolescents’ health behaviours. While females tend to engage in more healthy behaviours, the role of parental education and perceived family affluence is not always beneficial in terms of adolescents’ dietary habits, hygienic behaviour, or smoking.
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Fujii M, Kuwabara Y, Kinjo A, Imamoto A, Jike M, Otsuka Y, Itani O, Kaneita Y, Minobe R, Maesato H, Higuchi S, Yoshimoto H, Kanda H, Osaki Y. Trends in the co-use of alcohol and tobacco among Japanese adolescents: periodical nationwide cross-sectional surveys 1996-2017. BMJ Open 2021; 11:e045063. [PMID: 34348945 PMCID: PMC8340282 DOI: 10.1136/bmjopen-2020-045063] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 07/13/2021] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVES This study aimed to assess trends in the prevalence of alcohol use depending on smoking behaviours and that of smoking depending on drinking behaviours among Japanese adolescents. DESIGN This was a retrospective study using Japanese school-based nationwide surveys conducted between 1996 and 2017. SETTING Surveyed schools, both junior and senior high schools, considered representative of the entire Japanese population, were sampled randomly. PARTICIPANTS We enrolled 11 584-64 152 students from 179 to 103 schools yearly. They completed a self-reported and anonymous questionnaire on smoking and drinking behaviour. RESULTS Since 1996, the prevalence of alcohol use and smoking among adolescents decreased in each survey (p<0.01). The prevalence of alcohol use in the non-smokers group was 29.0% in 1996 and 4.0% in 2017, and in the smokers group, it was 73.3% in 1996 and 57.4% in 2017. The reduction rate (the difference in prevalence between 1996 and 2017 divided by the prevalence in 1996) was 0.86 in the non-smokers group and 0.22 in the smokers group. The prevalence of smoking in the non-drinkers group was 6.7% in 1996 and 0.7% in 2017, while that in the drinkers group was 32.5% in 1996 and 18.9% in 2017. The reduction rate was 0.90 in the non-drinkers group and 0.42 in the drinkers group. Therefore, downward trends differed among the groups. In a subanalysis of senior high school students, we divided students into three groups according to their intention to pursue further education. Between 1996 and 2017, there was a consistent difference in the prevalence of alcohol use and smoking among these groups. CONCLUSIONS Alcohol use and smoking among Japanese adolescents seem to have reduced. However, certain groups showed poor improvements, and health risk behaviour disparity exists, which may widen further. We need to focus on high-risk groups and implement appropriate measures or interventions accordingly.
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Affiliation(s)
- Maya Fujii
- Division of Environmental and Preventive Medicine, Department of Social Medicine, Faculty of Medicine, Tottori University, Yonago, Tottori, Japan
| | - Yuki Kuwabara
- Division of Environmental and Preventive Medicine, Department of Social Medicine, Faculty of Medicine, Tottori University, Yonago, Tottori, Japan
| | - Aya Kinjo
- Division of Environmental and Preventive Medicine, Department of Social Medicine, Faculty of Medicine, Tottori University, Yonago, Tottori, Japan
| | - Aya Imamoto
- Division of Environmental and Preventive Medicine, Department of Social Medicine, Faculty of Medicine, Tottori University, Yonago, Tottori, Japan
- Department of Pediatrics and Perinatology, Faculty of Medicine, Tottori University, Yonago, Tottori, Japan
| | - Maki Jike
- Department of Food Safety and Management, Faculty of Food and Health Sciences, Showa Women's University, Setagaya, Tokyo, Japan
| | - Yuichiro Otsuka
- Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, Itabashi, Tokyo, Japan
| | - Osamu Itani
- Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, Itabashi, Tokyo, Japan
| | - Yoshitaka Kaneita
- Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, Itabashi, Tokyo, Japan
| | - Ruriko Minobe
- National Hospital Organization Kurihama Medical and Addiction Center, Yokosuka, Kanagawa, Japan
| | - Hitoshi Maesato
- National Hospital Organization Kurihama Medical and Addiction Center, Yokosuka, Kanagawa, Japan
| | - Susumu Higuchi
- National Hospital Organization Kurihama Medical and Addiction Center, Yokosuka, Kanagawa, Japan
| | - Hisashi Yoshimoto
- Department of Family Medicine, General Practice and Community Health, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Hideyuki Kanda
- Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Yoneatsu Osaki
- Division of Environmental and Preventive Medicine, Department of Social Medicine, Faculty of Medicine, Tottori University, Yonago, Tottori, Japan
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Cui Y, Mubarik S, Li R, Nawsherwan, Yu C. Trend dynamics of thyroid cancer incidence among China and the U.S. adult population from 1990 to 2017: a joinpoint and age-period-cohort analysis. BMC Public Health 2021; 21:624. [PMID: 33789605 PMCID: PMC8010947 DOI: 10.1186/s12889-021-10635-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 03/16/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Thyroid cancer (TC) is the most common malignant disease of the endocrine system. Based on the previously published reports, the incidence of TC has been increasing in the past 25 years, and the reason for the increase is not yet clear. The present study aims to reveal the long-term trends and age-period-cohort effects for the incidence of TC in China and the U.S. from 1990 to 2017. METHODS We examined the trends of TC incidence and the average annual percentage change (AAPC) of rate using the Joinpoint regression analysis in the two countries, for the different genders (men/women) in the Global Burden of Disease (GBD 2017). We further used an age-period-cohort model to analyze age-period-cohort effects on TC incidence. RESULTS The ASIR of China increased markedly with AAPC of 4.5% (95% confidence interval (CI): 4.0, 5.0%) and 1.8% (1.6, 2.0%) for men and women during 1990-2017. The ASIR of the U. S increased by 1.4% (1.0, 1.8%) and 1.3% (0.9, 1.7%) for men and women from 1990 to 2017.TC increased with the age and period. Aging was one of the most influential factors of TC in China. The age effect increased markedly in the U.S. compared with China. The period effect showed an increase in China while that tended to grow steadily during 1990-2017 in the U.S. The cohort effect peaked in 1963-1967 birth cohorts for men and women in China and declined consistently in the birth cohort in the U.S. CONCLUSION From 1990 to 2017, due to ionizing radiation and over-diagnosis, age-standardized TC incidence rates in both genders rose in China and the U.S. The standardized incidence rate of women is higher than that of men. It is necessary to provide women with reasonable prevention and protection measures for TC. We need to apply for health services and screening to reduce ionizing radiation.
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Affiliation(s)
- Yiran Cui
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuhan, 430071, China
| | - Sumaira Mubarik
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuhan, 430071, China
| | - Ruijia Li
- Global Health Institute, Wuhan University, Wuhan, 430071, China
| | - Nawsherwan
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, Wuhan, Hubei, China
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuhan, 430071, China.
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Wang M, Zhong JM, Hu RY, Gong WW, Yu M. Sleep duration and behavioral correlates in middle and high school students: a cross-sectional study in Zhejiang province, China. Sleep Med 2021; 79:55-61. [PMID: 33476857 DOI: 10.1016/j.sleep.2021.01.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Revised: 12/28/2020] [Accepted: 01/02/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVE To investigate the sleep duration and correlates from lifestyle, dietary and weight control behaviors in Chinese adolescents. METHODS Data were from 2017 Zhejiang Youth Risk Behavior Survey. A total of 17059 adolescents were included in this study and sleep duration and other behaviors information was collected via a self-reported questionnaire. Regression coefficients (β), calculated by multivariable linear regression, were used to assess the effects of related behaviors on sleep duration, adjusting for potential confounding factors. RESULTS Overall, the mean sleep duration in adolescents was 7.99 h. Ever smoking, engaging in moderate physical activity and muscle strengthening activity, attending physical education classes, and watching television were significantly associated with longer sleep duration (P trend ≦0.01 for all). Adolescents with breakfast, fruits, vegetables, milk and soft drinks intake were more likely to have longer sleep duration (P trend <0.05 for all). Weight perception of overweight and weight control behaviors including exercising and eating less food, fewer calories were significantly associated with the short sleep duration (P trend <0.05 for all). CONCLUSION Chinese adolescents slept less than the counterparts in Western countries. Various lifestyle, dietary and weight control behaviors were associated with sleep duration.
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Affiliation(s)
- Meng Wang
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China.
| | - Jie-Ming Zhong
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China.
| | - Ru-Ying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China.
| | - Wei-Wei Gong
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China.
| | - Min Yu
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China.
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8
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Chen L, Lu RR, Duan JL, Ma J, Zhu G, Song Y, Lau PWC, Prochaska JJ. Combined Associations of Smoking and Bullying Victimization With Binge Drinking Among Adolescents in Beijing, China. Front Psychiatry 2021; 12:698562. [PMID: 34603100 PMCID: PMC8481949 DOI: 10.3389/fpsyt.2021.698562] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 07/28/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Binge drinking and smoking among adolescents are serious public concerns. However, very few studies have explored the reinforcement of bullying victimization by such behavior. Our study aimed at examining the individual and combined associations of smoking and bullying victimization with binge drinking among adolescents in Beijing, China. Methods: A total of 33,694 students aged 13-17 years old in Beijing, China were anonymously investigated via the cross-sectional Chinese Youth Risk Behavior Surveillance Survey from April to May 2014. A three-stage stratified sampling was used to select participants. Factors such as sociodemographic variables and indicators of smoking, bullying victimization, and binge drinking were analyzed with multiple logistic regressions, and joint and additive interaction effects were tested. Results: Overall, ever-drinking prevalence was 59.1% (boys: 64.4%; girls: 53.7%). Past 30-day binge drinking was 11.5% (boys: 15.6%; girls: 7.4%) and frequent binge drinking was 2.3% (boys: 3.3%; girls: 1.0%). Past 30-day smoking was 10.7% (boys: 16.4%; girls: 5.0%) and past 30-day bullying victimization was 48.7% (boys: 57.3%; girls: 40.1%). The combined effects of smoking and bullying victimization on occasional binge drinking (OR = 6.49, 95% CI = 5.60-7.52) and frequent binge drinking (OR = 10.32, 95% CI = 7.52-14.14) were significant, and the additive interaction effect was significant for current smoking and bullying victimization on frequent binge drinking (OR = 10.22, 95% CI = 9.43-11.07). The additive interaction effect for current smoking and bullying victimization on frequent binge drinking was significant among boys. Conclusion: Bullying victimization reinforced the association of smoking with frequent binge drinking, especially with findings specific to boys. Programs to prevent smoking or bullying or both may reduce binge drinking among adolescents in China.
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Affiliation(s)
- Li Chen
- School of Public Health, Institute of Child and Adolescent Health, Peking University, Beijing, China
| | - Ruo-Ran Lu
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Jia-Li Duan
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Jun Ma
- School of Public Health, Institute of Child and Adolescent Health, Peking University, Beijing, China
| | - Guangrong Zhu
- School of Public Health, Institute of Child and Adolescent Health, Peking University, Beijing, China
| | - Yi Song
- School of Public Health, Institute of Child and Adolescent Health, Peking University, Beijing, China
| | - Patrick W C Lau
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, SAR China.,Laboratory of Exercise Science and Health, BNU-HKBU United International College, Zhuhai, China
| | - Judith J Prochaska
- Department of Medicine, Stanford Prevention Research Center, Stanford University, Stanford, CA, United States
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9
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Wang F, Mubarik S, Zhang Y, Wang L, Wang Y, Yu C, Li H. Long-Term Trends of Liver Cancer Incidence and Mortality in China 1990-2017: A Joinpoint and Age-Period-Cohort Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16162878. [PMID: 31408961 PMCID: PMC6719938 DOI: 10.3390/ijerph16162878] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 07/31/2019] [Accepted: 08/09/2019] [Indexed: 12/24/2022]
Abstract
Liver cancer (LC) is one of the most common causes of cancer-related deaths: this study aims to present the long-term trends and age–period–cohort effects of the incidence of and mortality from LC in China during 1990–2017. Incidence and mortality data were obtained from the Global Burden of Disease Study 2017. We determined trends in the age-standardized incidence rate (ASIR) and mortality rate (ASMR) using Joinpoint regression. An age–period–cohort (APC) analysis was performed to describe the long-term trends with intrinsic estimator methods. The ASMR decreased markedly before 2013 and increased thereafter, with overall average annual percent change (AAPC) values of −0.5% (95% confidence interval (CI): −0.6%, −0.3%) for men and −1.3% (−1.6%, −1.0%) for women during 1990–2017. The ASIR significantly increased by 0.2% (0.1%, 0.3%) in men and decreased by 1.1% (−1.2%, −1.0%) in women from 1990 to 2017. The risks of LC incidence and mortality increased with age in both genders. The period effect risk ratios (RRs) of incidence and mortality displayed similar monotonic increasing trends in men and remained stable in women. The cohort effect showed an overall downward trend and almost overlapping incidence and mortality in both genders, and later birth cohorts experienced lower RRs than previous birth cohorts. Older age, recent period, and birth before 1923 were associated with a higher risk of liver cancer incidence and mortality. The net age and period effects showed an increasing trend, while the cohort effects presented a decreasing trend in incidence and mortality risk. As China’s population aging worsens and with the popularization of unhealthy lifestyles, the burden caused by liver cancer will remain a huge challenge in China’s future.
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Affiliation(s)
- Fang Wang
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 430071, China
| | - Sumaira Mubarik
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 430071, China
| | - Yu Zhang
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Lu Wang
- Medical College of Hubei University of Arts and Science, Xiangyang 441053, China
| | - Yafeng Wang
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 430071, China
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 430071, China.
- Global Health Institute, Wuhan University, Wuhan 430072, China.
| | - Hao Li
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 430071, China.
- Global Health Institute, Wuhan University, Wuhan 430072, China.
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10
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Liu R, Chen L, Zhang F, Zhu R, Lin X, Meng X, Li H, Lei X, Zhao Y. Trends in Alcohol Intake and the Association between Socio-Demographic Factors and Volume of Alcohol Intake amongst Adult Male Drinkers in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16040573. [PMID: 30781481 PMCID: PMC6406336 DOI: 10.3390/ijerph16040573] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2018] [Revised: 02/12/2019] [Accepted: 02/13/2019] [Indexed: 12/23/2022]
Abstract
Background: The volume of alcohol intake and type of alcohol affect Chinese men’s health. This study investigated changes of alcohol type between 2004 and 2011, explored the trend of change in alcohol type with age and determined the social demographic factors influencing the alcohol intake of Chinese men. Methods: Research data originated from the public database, China Health and Nutrition Survey (CHNS). Three chi-square tests were used to determine the prevalence of different alcohol types (beer, wine and liqueur) and the trend with age among male drinkers from 2004 to 2011. An ordered logistic regression model was established with alcohol intake as the dependent variable and social demography as the independent variable to analyze the influence of these factors on male alcohol intake. Results: This study confirmed that from 2004 to 2011, 70.1% of Chinese men consumed alcohol less than 168 g/w. The popularity of beer was on the rise, while the liqueur alcohol consumption decreased from 2004 to 2011 and the consumption of wine began to rise rapidly after 2006 (p < 0.05 for all). The prevalence of liqueur drinking increased with age and the prevalence of beer drinking decreased with age among Chinese male drinkers (p < 0.05 for all). From 2004 to 2011, a positive correlation appeared between age and male alcohol intake (p < 0.05 for all). In 2004 (OR = 1.22, 95% CI: 1.03–1.44), 2006 (OR = 1.21, 95% CI: 1.02–1.42) and 2011 (OR = 1.51, 95% CI: 1.31–1.75), Chinese men living in rural areas had a high volume of alcohol intake. From 2004 to 2011, the participants had married consumed more alcohol (p < 0.05 for all). In 2004 (OR = 0.61, 95% CI: 0.43–0.88) and 2011 (OR = 0.80, 95% CI: 0.68–0.94), higher education levels were negatively correlated with male alcohol intake. In 2006 (OR = 1.29, 95% CI: 1.07–1.56), 2009 (OR = 1.76, 95% CI: 1.45–2.14) and 2011 (OR = 1.35, 95% CI: 1.13–1.61), male drinkers who were working consumed more alcohol. From 2004 to 2011, a significant positive correlation appeared between tobacco consumption and alcohol intake (p < 0.05 for all). Conclusion: Consumption of three types of alcohol (beer, wine and liqueur) varies with the year. Beer consumption decreases with age, whereas liqueur consumption increases with age. Social demographic factors, such as residence, age, highest education level, working status and tobacco consumption, are related to alcohol intake. Our study affirms the effect of age on the choice of different types of alcohol.
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Affiliation(s)
- Ruiyi Liu
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China.
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing 400016, China.
| | - Li Chen
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China.
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing 400016, China.
| | - Fan Zhang
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China.
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing 400016, China.
| | - Rui Zhu
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China.
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing 400016, China.
| | - Xinjie Lin
- Clinical College, Chongqing Medical University, Chongqing 400016, China.
| | - Xuchen Meng
- Clinical College, Chongqing Medical University, Chongqing 400016, China.
| | - Huabing Li
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China.
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing 400016, China.
| | - Xun Lei
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China.
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing 400016, China.
| | - Yong Zhao
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China.
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing 400016, China.
- Chongqing Key Laboratory of Child Nutrition and Health. Chongqing 400016, China.
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Tobacco and Alcohol Consumption Rates among Chinese Women of Reproductive Age in 2004⁻2011: Rate and Sociodemographic Influencing Factors. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 16:ijerph16010056. [PMID: 30587814 PMCID: PMC6339028 DOI: 10.3390/ijerph16010056] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Revised: 12/19/2018] [Accepted: 12/22/2018] [Indexed: 01/17/2023]
Abstract
Background: Smoking and alcohol consumption have become major public health problems among Chinese women. In this study we explore the behavioral trends in smoking and alcohol consumption of Chinese women. We also explored the changes in the sociodemographic factors that affect the smoking and alcohol consumption behaviors of Chinese women at different reproductive stages. Methods: We used the Chinese Health and Nutrition Survey data for 2004 to 2011 to investigate the trends and influential factors of tobacco and alcohol consumption among Chinese women. Data for tobacco and alcohol consumption (consumption of beer or any other alcoholic beverage and smoking of cigarettes) were extracted using questionnaires. We applied the χ2 test to examine the trends of alcohol and tobacco consumption among Chinese women over the period of 2004 to 2011. We conducted two penalized logistic regressions with age as the continuous and classification variable (18–23, 24–29, 30–44, and 45–49 years), and independent variables included residence, age, and marital status. Results: Drinking rates among Chinese women significantly changed over the period of 2004 to 2011 (p = 0.018). Age was related to tobacco consumption rates for 2009 and 2011 (p < 0.05). Marital status was associated with tobacco consumption rates for 2004, 2009, and 2011 (p < 0.05). Tobacco and alcohol consumption rates from 2004 to 2011 were positively correlated (p < 0.05). Over the period of 2004 to 2011, alcohol consumption rates were higher among women living in urban areas than those among women living in rural areas (p < 0.05). High educational attainment was related to alcohol consumption. Educational attainment levels of secondary or primary schooling and university or above were related to alcohol consumption rates for 2004 to 2011 (p < 0.05). Employed women were more likely to consume alcohol than unemployed women in 2004, 2006, and 2011 (p < 0.05). Data from 2004 to 2011 showed that tobacco and alcohol use were correlated (p < 0.05) and that women aged 45–49 years old were more likely to consume tobacco than other women (p < 0.05); Conclusions: The drinking behavior of Chinese women changed considerably over the period of 2004 to 2011. Our results provide further insight on the smoking and drinking behaviors of Chinese women at different reproductive stages and the factors that influence such behaviors. Therefore, our findings on trends and factors that influence rates of tobacco and alcohol use allow for a better understanding of the smoking and drinking behaviors of Chinese women.
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