1.Study on the relationship between secondhand smoke exposure and dyslipidemia in adult residents in Beijing.
Dan Yang SHEN ; Ai Juan MA ; Zhong DONG
Chinese Journal of Epidemiology 2023;44(6):924-930
		                        		
		                        			
		                        			Objective: To understand the relationship between secondhand smoke exposure and dyslipidemia among adults in Beijing and to provide a scientific basis for relevant intervention. Methods: Data were from Beijing Adult Non-communicable and Chronic Diseases and Risk Factors Surveillance Program in 2017. A total of 13 240 respondents were selected by multistage cluster stratified sampling method. The monitoring contents include a questionnaire survey, physical measurement, collection of fasting venous blood, and determination of related biochemical indicators. SPSS 20.0 software was used for the chi-square test and multivariate logistic regression analysis. Results: The prevalence of total dyslipidemia (39.27%), hypertriglyceridemia (22.61%), and high LDL-C (6.03%) were the highest among those exposed to daily secondhand smoke. Among the male respondents, the prevalence of total dyslipidemia (44.42%) and hypertriglyceridemia (26.12%) were the highest among those exposed to secondhand smoke daily. Multivariate logistic regression analysis after adjustment for confounding factors showed that compared with no exposure to secondhand smoke, the population with an average exposure frequency of 1-3 days per week had the highest risk of total dyslipidemia (OR=1.276, 95%CI: 1.023-1.591). Among the patients with hypertriglyceridemia, those exposed to secondhand smoke daily had the highest risk (OR=1.356, 95%CI: 1.107-1.661). Among the male respondents, those exposed to secondhand smoke for 1-3 days per week had a higher risk of total dyslipidemia (OR=1.366, 95%CI: 1.019-1.831), and the highest risk of hypertriglyceridemia (OR=1.377, 95%CI: 1.058-1.793). There was no significant correlation between the frequency of secondhand smoke exposure and the risk of dyslipidemia among female respondents. Conclusions: Secondhand smoke exposure in Beijing adults, especially men, will increase the risk of total dyslipidemia, especially hyperlipidemia. Improving personal health awareness and minimizing or avoiding exposure to secondhand smoke is necessary.
		                        		
		                        		
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Tobacco Smoke Pollution/adverse effects*
		                        			;
		                        		
		                        			Beijing
		                        			;
		                        		
		                        			Dyslipidemias/epidemiology*
		                        			;
		                        		
		                        			Hypertriglyceridemia/epidemiology*
		                        			;
		                        		
		                        			Fasting
		                        			
		                        		
		                        	
2.The Association between Exposure to Second-Hand Smoke and Disease in the Chinese Population: A Systematic Review and Meta-Analysis.
Yu Tong WANG ; Kui Ru HU ; Jian ZHAO ; Fei Ling AI ; Yu Lin SHI ; Xue Wei WANG ; Wen Yi YANG ; Jing Xin WANG ; Li Mei AI ; Xia WAN
Biomedical and Environmental Sciences 2023;36(1):24-37
		                        		
		                        			OBJECTIVE:
		                        			To analyze the association between exposure to second-hand smoke (SHS) and 23 diseases, categorized into four classifications, among the Chinese population.
		                        		
		                        			METHODS:
		                        			We searched the literature up to June 30, 2021, and eligible studies were identified according to the PECOS format: Participants and Competitors (Chinese population), Exposure (SHS), Outcomes (Disease or Death), and Study design (Case-control or Cohort).
		                        		
		                        			RESULTS:
		                        			In total, 53 studies were selected. The odds ratio (OR) for all types of cancer was 1.79 (1.56-2.05), and for individual cancers was 1.92 (1.42-2.59) for lung cancer, 1.57 (1.40-1.76) for breast cancer, 1.52 (1.12-2.05) for bladder cancer, and 1.37 (1.08-1.73) for liver cancer. The OR for circulatory system diseases was 1.92 (1.29-2.85), with a value of 2.29 (1.26-4.159) for stroke. The OR of respiratory system diseases was 1.76 (1.13-2.74), with a value of 1.82 (1.07-3.11) for childhood asthma. The original ORs were also shown for other diseases. Subgroup analyses were performed for lung and breast cancer. The ORs varied according to time period and were significant during exposure in the household; For lung cancer, the OR was significant in women.
		                        		
		                        			CONCLUSION
		                        			The effect of SHS exposure in China was similar to that in Western countries, but its definition and characterization require further clarification. Studies on the association between SHS exposure and certain diseases with high incidence rates are insufficient.
		                        		
		                        		
		                        		
		                        			Child
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Asthma/epidemiology*
		                        			;
		                        		
		                        			Breast Neoplasms
		                        			;
		                        		
		                        			East Asian People
		                        			;
		                        		
		                        			Lung Neoplasms/etiology*
		                        			;
		                        		
		                        			Tobacco Smoke Pollution/adverse effects*
		                        			;
		                        		
		                        			China
		                        			
		                        		
		                        	
4.Association between exposure to household smoking and dental caries in preschool children: a cross-sectional study.
Yuko GOTO ; Keiko WADA ; Kie KONISHI ; Takahiro UJI ; Sachi KODA ; Fumi MIZUTA ; Michiyo YAMAKAWA ; Kaori WATANABE ; Kyoko ANDO ; Jun UEYAMA ; Takaaki KONDO ; Chisato NAGATA
Environmental Health and Preventive Medicine 2019;24(1):9-9
		                        		
		                        			BACKGROUND:
		                        			We aimed to examine the association of exposure to environmental tobacco smoke with dental caries among preschool children. Exposure to environmental tobacco smoke was assessed in terms of urinary cotinine concentrations and pack-years of exposure to smoking by parents and other family members at home.
		                        		
		                        			METHODS:
		                        			This cross-sectional study included 405 preschool children aged 3-6 years from two preschools in Japan in 2006. Information on the smoking habits of family members living with the child was obtained from parent-administered questionnaires. Dental examination was conducted to assess dental caries, that is, decayed and/or filled teeth. Urinary cotinine levels were measured using first-void morning urine samples.
		                        		
		                        			RESULTS:
		                        			Overall, 31.1% of the children had dental caries, and 29.5% had decayed teeth. Exposure to current maternal and paternal smoking was positively associated with the presence of dental caries after controlling for covariates. More than three pack-years of exposure to maternal smoking and more than five pack-years of exposure to smoking by all family members were significantly associated with the presence of dental caries as compared with no exposure (odds ratio [OR] = 5.55, 95% confidence interval [CI] = 2.17-14.22, P for trend < 0.001 and OR = 2.00, 95% CI = 1.12-3.58, P for trend = 0.004, respectively). These exposure variables were similarly associated with the presence of decayed teeth (OR = 2.92, 95% CI = 1.23-6.96, P for trend = 0.01 and OR = 1.75, 95% CI = 0.96-3.20, P for trend = 0.03, respectively). As compared with lowest tertile of the urinary cotinine level, the highest tertile of the urinary cotinine level was significantly associated with the presence of dental caries as well as decayed teeth; the ORs for the highest vs. lowest tertile of urinary cotinine levels were 3.10 (95% CI = 1.71-5.63, P for trend = 0.012) and 2.02 (95% CI = 1.10-3.70, P for trend = 0.10), respectively.
		                        		
		                        			CONCLUSIONS
		                        			These data suggest that exposure to tobacco smoke may have a dose-dependent influence on the development of caries.
		                        		
		                        		
		                        		
		                        			Child
		                        			;
		                        		
		                        			Child, Preschool
		                        			;
		                        		
		                        			Cotinine
		                        			;
		                        		
		                        			urine
		                        			;
		                        		
		                        			Cross-Sectional Studies
		                        			;
		                        		
		                        			Dental Caries
		                        			;
		                        		
		                        			epidemiology
		                        			;
		                        		
		                        			etiology
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Japan
		                        			;
		                        		
		                        			epidemiology
		                        			;
		                        		
		                        			Logistic Models
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Maternal Exposure
		                        			;
		                        		
		                        			adverse effects
		                        			;
		                        		
		                        			Parents
		                        			;
		                        		
		                        			Paternal Exposure
		                        			;
		                        		
		                        			adverse effects
		                        			;
		                        		
		                        			Risk Factors
		                        			;
		                        		
		                        			Surveys and Questionnaires
		                        			;
		                        		
		                        			Tobacco Smoke Pollution
		                        			;
		                        		
		                        			adverse effects
		                        			;
		                        		
		                        			Tobacco Smoking
		                        			;
		                        		
		                        			adverse effects
		                        			;
		                        		
		                        			epidemiology
		                        			
		                        		
		                        	
5.Association of prenatal and childhood environment smoking exposure with puberty timing: a systematic review and meta-analysis.
Yiwen CHEN ; Qin LIU ; Wenyan LI ; Xu DENG ; Bo YANG ; Xin HUANG
Environmental Health and Preventive Medicine 2018;23(1):33-33
		                        		
		                        			OBJECTIVES:
		                        			Mothers who smoke during pregnancy or while their children are small were common in some populations. Epidemiological studies have tried to detect the effect of prenatal tobacco smoke (PTS), and childhood environmental tobacco smoke (ETS) on puberty timing have not shown a consensus results. We aimed to examine current evidence and estimate the associations between PTS or/and ETS and puberty timing.
		                        		
		                        			METHODS:
		                        			Seven databases were searched from inception to May 2017. All the cohort studies examining the associations between PTS and/or ETS and puberty timing were identified. Two reviewers independently screened all studies, evaluated the quality of eligible studies, and extracted the data. The quality assessment of the eligible cohort studies was based on the Newcastle-Ottawa Scale. Risk ratio (RR), standard mean difference (SMD), and 95% confidence intervals (CIs) were calculated and pooled by CMA (Version 2.0, Biostat, Inc., USA).
		                        		
		                        			RESULTS:
		                        			Compared with controls, girls with PTS and ETS exposure have an earlier age at menarche (SMD - 0.087, 95% CI 0.174 to - 0.000), and similar results were found in both PTS subgroup (SMD - 0.097, 95% CI - 0.192 to - 0.002) and prospective cohort subgroup (SMD - 0.171, 95% CI - 0.253 to - 0.090). And number of boys with early voice break in PTS group was significantly increasing than non-exposed boys (RR 1.34, 95% CI 1.29 to 1.40).
		                        		
		                        			CONCLUSIONS
		                        			PTS exposure possibly decrease age of menarche of girls, and studies on boys were urgent needed. Appropriate and comprehensive outcome measures using unified criteria to classify puberty should be reported in future studies.
		                        		
		                        		
		                        		
		                        			Aging
		                        			;
		                        		
		                        			physiology
		                        			;
		                        		
		                        			Environmental Exposure
		                        			;
		                        		
		                        			adverse effects
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Menarche
		                        			;
		                        		
		                        			physiology
		                        			;
		                        		
		                        			Pregnancy
		                        			;
		                        		
		                        			Prenatal Exposure Delayed Effects
		                        			;
		                        		
		                        			etiology
		                        			;
		                        		
		                        			Puberty
		                        			;
		                        		
		                        			physiology
		                        			;
		                        		
		                        			Smoking
		                        			;
		                        		
		                        			adverse effects
		                        			;
		                        		
		                        			Tobacco Smoke Pollution
		                        			;
		                        		
		                        			adverse effects
		                        			
		                        		
		                        	
6.A cross-sectional study on the status of tobacco use among junior middle school students in Shaanxi province.
Y GUO ; A H WANG ; C Y LIU ; C N MU ; B WANG
Chinese Journal of Epidemiology 2018;39(2):184-187
		                        		
		                        			
		                        			Objective: To understand the rate on tobacco use and associated factors in junior middle school students in Shaanxi province. Methods: We used a multi-stage stratified random sampling method to select students from 30 junior middle schools in 10 areas of Shaanxi province in 2013. All the participants completed a self-administered questionnaire. Results: A total of 4 633 questionnaires were dispatched and 4 298 were qualified for further analysis. The current smoking rate of junior middle school students in Shaanxi was 6.5%, with rate in male (11.1%) higher than that of female students (1.7%). The current smoking rate of students in grade three (9.3%) was higher than those of students in grade one (3.5%) or in grade two (7.0%). The smoking rate of students with pocket money more than 31 Yuan per week was (10.0%) higher than those of students with pocket money less than 10 Yuan (4.6%) or 10-30 Yuan (6.3%) per week. Results from the logistic regression analysis showed that factors as: male, school located in the city, older age, with more pocket money, having smokers in the family and exposure to second hand smoking were high risk factors for current smoking. Conclusion: Rate on current smoking was high in junior middle schools students in Shaanxi, suggesting that comprehensive intervention programs be developed to reduce the rate of tobacco use in junior middle school students.
		                        		
		                        		
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Cities
		                        			;
		                        		
		                        			Cross-Sectional Studies
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Prevalence
		                        			;
		                        		
		                        			Schools
		                        			;
		                        		
		                        			Smoking/epidemiology*
		                        			;
		                        		
		                        			Students/statistics & numerical data*
		                        			;
		                        		
		                        			Surveys and Questionnaires
		                        			;
		                        		
		                        			Tobacco Smoke Pollution/adverse effects*
		                        			;
		                        		
		                        			Tobacco Use/epidemiology*
		                        			
		                        		
		                        	
7.Active and passive maternal smoking during pregnancy and risk of having a child with polydactyly: a case-control study.
J SHI ; Y TIAN ; Y LEI ; H KANG
Chinese Journal of Epidemiology 2018;39(11):1482-1485
		                        		
		                        			
		                        			Objective: The number of children with polydactyly is increasing. In addition to genetic factors, an influence of maternal behavior or environmental effects during pregnancy is becoming increasingly apparent. However, epidemiological data on these effects are lacking. Methods: This hospital-based, case-control study enrolled 143 infants with polydactyly and 286 controls without genetic diseases to evaluate the association between active and passive maternal smoking during pregnancy and the likelihood of giving birth to a child with polydactyly. Results: Active and passive maternal smoking during pregnancy was associated with an increased risk of giving birth to a child with polydactyly (active smoking: OR=4.74, 95%CI: 1.43-15.65, P=0.011; passive smoking: OR=2.42, 95%CI: 1.32-4.44, P=0.004). After adjusting for confounders, smoking during pregnancy remained significant influence on polydactyly (active smoking: aOR=7.27, 95%CI: 1.72-30.72, P=0.007; passive smoking: aOR=2.41, 95%CI: 1.11-5.23, P=0.026). Conclusion: Active and passive maternal smoking during pregnancy appears to be a risk factor for polydactyly in newborns.
		                        		
		                        		
		                        		
		                        			Case-Control Studies
		                        			;
		                        		
		                        			Child
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Fingers/abnormalities*
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Infant
		                        			;
		                        		
		                        			Infant, Newborn
		                        			;
		                        		
		                        			Inhalation Exposure/statistics & numerical data*
		                        			;
		                        		
		                        			Maternal Exposure/statistics & numerical data*
		                        			;
		                        		
		                        			Polydactyly/epidemiology*
		                        			;
		                        		
		                        			Pregnancy
		                        			;
		                        		
		                        			Pregnancy Complications/etiology*
		                        			;
		                        		
		                        			Risk Factors
		                        			;
		                        		
		                        			Smoking/adverse effects*
		                        			;
		                        		
		                        			Tobacco Smoke Pollution/statistics & numerical data*
		                        			
		                        		
		                        	
8.Environmental risk factors for autism spectrum disorders in children.
Dan LIU ; Jian-Ying ZHAN ; Jie SHAO
Chinese Journal of Contemporary Pediatrics 2015;17(11):1147-1153
OBJECTIVETo investigate the environmental risk factors for autism spectrum disorders (ASD) in children.
METHODSIn this case-control study, 81 boys with ASD, 74 boys with global developmental delay (GDD), and 163 healthy boys were enrolled. A self-designed nurturing environment questionnaire was used to record general demographic data, family social-economic status, parents' living habits and environmental exposure, maternal health status during pregnancy, birth situations, and rearing environment after birth. Multivariate logistic regression was used to identify environmental risk factors for ASD and GDD.
RESULTSMultivariate logistic regression analysis showed that six environmental risk factors such as maternal occupational toxicant exposure, diseases during pregnancy and a history of passive smoking, children's birth places, the frequency of outdoor activities in the second year after birth, and the opportunities to communicate with other age-matched children were significantly associated with the incidence of ASD (OR=20.67, 3.559, 2.422, 2.646, 23.820, and 5.081, respectively; P<0.05). Among the above six risk factors, passive smoking during pregnancy, the opportunities to communicate with their peers, and the frequency of outdoor activities in the second year after birth were also significantly associated with the incidence of GDD (P<0.05).
CONCLUSIONSMaternal occupational toxicant exposure, diseases during pregnancy, and low level of children's birth places may be the specific risk factors associated with ASD, and passive smoking during pregnancy, fewer opportunities to communicate with their peers, and fewer outdoor activities in the second year after birth are non-specific risk factors for ASD, indicating that the development of ASD may be influenced by both genes and environmental factors.
Autism Spectrum Disorder ; etiology ; Case-Control Studies ; Child, Preschool ; Developmental Disabilities ; etiology ; Female ; Humans ; Logistic Models ; Male ; Maternal Exposure ; Pregnancy ; Risk Factors ; Tobacco Smoke Pollution ; adverse effects
9.Fluoride Exposure, Follicle Stimulating Hormone Receptor Gene Polymorphism and Hypothalamus-pituitary-ovarian Axis Hormones in Chinese Women.
Ming Xu ZHAO ; Guo Yu ZHOU ; Jing Yuan ZHU ; Biao GONG ; Jia Xiang HOU ; Tong ZHOU ; Li Ju DUAN ; Zhong DING ; Liu Xin CUI ; Yue BA
Biomedical and Environmental Sciences 2015;28(9):696-700
		                        		
		                        			
		                        			The effects of fluoride exposure on the functions of reproductive and endocrine systems have attracted widespread attention in academic circle nowadays. However, it is unclear whether the gene-environment interaction may modify the secretion and activity of hypothalamus-pituitary- ovarian (HPO) axis hormones. Thus, the aim of this study was to explore the influence of fluoride exposure and follicle stimulating hormone receptor (FSHR) gene polymorphism on reproductive hormones in Chinese women. A cross sectional study was conducted in seven villages of Henan Province, China during 2010-2011. A total of 679 women aged 18-48 years were recruited through cluster sampling and divided into three groups, i.e. endemic fluorosis group (EFG), defluoridation project group (DFPG), and control group (CG) based on the local fluoride concentration in drinking water. The serum levels of gonadotropin releasing hormone (GnRH), follicle stimulating hormone (FSH), luteinizing hormone (LH), and estradiol (E2) were determined respectively and the FSHR polymorphism was detected by real time PCR assay. The results provided the preliminary evidence indicating the gene-environment interaction on HPO axis hormones in women.
		                        		
		                        		
		                        		
		                        			Adolescent
		                        			;
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Age Factors
		                        			;
		                        		
		                        			Asian Continental Ancestry Group
		                        			;
		                        		
		                        			China
		                        			;
		                        		
		                        			Cross-Sectional Studies
		                        			;
		                        		
		                        			Estradiol
		                        			;
		                        		
		                        			blood
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Fluoridation
		                        			;
		                        		
		                        			adverse effects
		                        			;
		                        		
		                        			Fluorides
		                        			;
		                        		
		                        			administration & dosage
		                        			;
		                        		
		                        			adverse effects
		                        			;
		                        		
		                        			urine
		                        			;
		                        		
		                        			Follicle Stimulating Hormone
		                        			;
		                        		
		                        			blood
		                        			;
		                        		
		                        			Gene-Environment Interaction
		                        			;
		                        		
		                        			Gonadotropin-Releasing Hormone
		                        			;
		                        		
		                        			blood
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Hypothalamus
		                        			;
		                        		
		                        			physiology
		                        			;
		                        		
		                        			Luteinizing Hormone
		                        			;
		                        		
		                        			blood
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Ovary
		                        			;
		                        		
		                        			physiology
		                        			;
		                        		
		                        			Pituitary Gland
		                        			;
		                        		
		                        			physiology
		                        			;
		                        		
		                        			Polymorphism, Single Nucleotide
		                        			;
		                        		
		                        			Receptors, FSH
		                        			;
		                        		
		                        			genetics
		                        			;
		                        		
		                        			Tobacco Smoke Pollution
		                        			;
		                        		
		                        			Young Adult
		                        			
		                        		
		                        	
10.Comparative analysis of risk factors for preterm and small-for-gestational-age births.
Chinese Journal of Contemporary Pediatrics 2014;16(12):1202-1205
OBJECTIVETo compare the risk factors between preterm and small-for-gestational-age (SGA) births.
METHODSA total of 1 270 newborns who had no obstetric risk factors or maternal diseases were enrolled in this study. Their mothers' stature, body weight, passive smoking, and history of abnormal pregnancy were investigated using the self-designed questionnaire. The infants were divided into four groups: preterm, appropriate-for-gestational-age (AGA), SGA, and term infants. Multivariate logistic regression analysis was performed to compare the risk factors between preterm and SGA births.
RESULTSA weight gain less than 9 kg during pregnancy increased the risks of preterm (OR=1.63, 95% CI: 1.12-2.07) and SGA (OR=1.92, 95% CI: 1.56-2.58). The histories of abortion (OR=1.46, 95% CI: 1.09-1.93) and preterm birth (OR=2.63, 95% CI: 1.81-3.92) were independent risk factors for preterm births, while low pre-pregnancy body mass index (<18.5) (OR=2.16, 95% CI: 1.53-3.16), short stature (<1.55 m) (OR=2.46, 95% CI: 1.78-3.48), and passive smoking (OR=2.24, 95% CI: 1.65-2.98) were independent risk factors for SGA births.
CONCLUSIONSDue to different risk factors between preterm and SGA births, specific preventive measures should be taken pertinently to reduce the incidence of the two bad pregnancy outcomes.
Body Mass Index ; Humans ; Infant, Newborn ; Infant, Small for Gestational Age ; Logistic Models ; Premature Birth ; etiology ; Risk Factors ; Tobacco Smoke Pollution ; adverse effects
            
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