1.Spatio-temporal distribution and correlation of reported cases of hepatitis C and HIV/AIDS in China, 2012-2017.
Y GAO ; X F FENG ; J WEN ; F X HEI ; G W DING ; L PANG
Chinese Journal of Epidemiology 2019;40(2):155-159
Objective: To compare the time and spatial distribution of hepatitis C and HIV/AIDS cases and its correlation, in China from 2012 to 2017. Methods: Data on reported hepatitis C and HIV/AIDS cases was gathered from the Direct Reporting System of Infectious Diseases Information Network in China, 2012 to 2017 while annually collected provincial data was based on the date of review and current address. Correlation of the data was analyzed, using both simple correlation and linear regression methods. Results: The number of reported cases of hepatitis C remained stable in China, in 2012-2017, with the number of annual reported cases as 201 622, 203 155, 202 803, 207 897, 206 832 and 214 023, respectively. The number of reported cases on HIV/AIDS showed a steady growing trend, from 82 434, 90 119, 103 501, 115 465, 124 555 to 134 512. However, the numbers of hepatitis C and HIV/AIDS cases were in the same, top six provinces: Henan, Guangdong, Xinjiang, Guangxi, Hunan and Yunnan. Results from the simple correlation analysis indicated that there was a positive correlation (r>0.5, P<0.01) existed between the above-said two kinds of cases at the provincial level in China, in 2012-2017. Again, results from the linear regression analysis also showed that the correlation coefficient r(s) and year was strongly correlated (r=0.966) while r(s) had been linearly increasing with time. Conclusions: Our data showed that there were temporal and spatial correlations existed between the reported cases of hepatitis C and HIV/AIDS at the provincial level, suggesting that relevant prevention and control programs be carried out in areas with serious epidemics. Combination of the two strategies should be encouraged, especially on prevention and treatment measures related to blood transmission.
Age Distribution
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China/epidemiology*
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Epidemics
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HIV
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HIV Infections/ethnology*
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Hepatitis C/ethnology*
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Humans
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Linear Models
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Spatial Analysis
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Spatio-Temporal Analysis
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Young Adult
2.Dynamic variations of BMI and influencing factors among HIV/AIDS patients receiving highly active antiretroviral therapy in Liuzhou, Guangxi Zhuang Autonomous Region, 2013-2014.
H H CHEN ; B T FU ; Q Y ZHU ; H X LU ; L H LUO ; L CHEN ; X H LIU ; X J ZHOU ; J H HUANG ; X X FENG ; G S SHAN ; Z Y SHEN
Chinese Journal of Epidemiology 2018;39(4):487-490
Objective: To understand the dynamic variation of BMI and influencing factors among HIV/AIDS patients receiving highly active anti-retroviral therapy (HAART) in Liuzhou, Guangxi Zhuang Autonomous Region (Guangxi). Methods: HIV/AIDS patients receiving HAART for the first time since 1 January 2013 were selected. Data on BMI was analyzed among patients receiving HAART at baseline,6 months and 12 months after treatment. By using the general linear model repeated measures of analysis of variance, BMI dynamic variations and influencing factors were described and analyzed. Results: The average BMI of 2 871 patients at baseline, 6th months and 12th months appeared as (20.65±3.32), (20.87±3.22) and (21.18±3.20), respectively, with differences all statistically significant (F=18.86, P<0.001). BMI were increasing over time with treatments (F=37.25, P<0.001). Main influencing factors were noticed as: age, sex, marital status, baseline data of CD(4)(+)T cells and the WHO classification on clinical stages. Conclusions: Higher proportion of BMI malnutrition counts was seen among patients before receiving HAART in Liuzhou. BMI of the patients that were on HAART seemed being influenced by many factors. It is necessary to select appropriate treatment protocols on different patients so as to improve the nutritional status of the patients.
Acquired Immunodeficiency Syndrome
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Antiretroviral Therapy, Highly Active
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Body Mass Index
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CD4 Lymphocyte Count
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China/epidemiology*
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HIV Infections/drug therapy*
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Humans
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Linear Models
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Marital Status
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Nutritional Status
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T-Lymphocytes
3.Prevalence and associated risk factors on preterm birth, low birth weight, and small for gestational age among HIV-infected pregnant women in Hunan province, 2011-2017.
H X LI ; J F ZHENG ; G W HUANG ; J XIAO ; H WANG ; M YANG ; N FENG
Chinese Journal of Epidemiology 2018;39(10):1368-1374
Objective: To describe the prevalence of preterm birth (PB), low birth weight (LBW), and small for gestational age (SGA) among HIV-infected pregnant women and to identify associated risk factors in Hunan province. Methods: This study appeared a retrospective one on HIV-infected pregnant women retrieved from Information System of Prevention of Mother-to-child Transmission of HIV management in Hunan province, between January 2011 and December 2017. Information regarding demographic characteristics, pregnancy, antiretroviral therapy (ART), husbands/partners' relevant situation and pregnancy outcomes, among these HIV-infected pregnant women were collected and analyzed. The incidence rates on PB, LBW and SGA were calculated. Multivariate logistic regression was used to analyze the associated risk factors. Results: A total of 780 HIV-infected pregnant women were enrolled. The prevalence rates on PB, LBW and SGA in HIV- infected pregnant women appeared as 7.9% (62/780), 9.9% (77/780) and 21.3% (166/780), respectively. Results from the multivariate logistic regression analysis showed that factors as pregnancy related diseases as moderate/severe anemia, hypertensive, initial time of ART <14 gestational weeks (compared to those women without ART during pregnancy) and husbands/partners' age >35 years old (compared to husbands/partners' age 26-30 years old) etc., were associated with an increased risk of PB with adjusted OR as 4.59 (95%CI: 1.51-13.95), 4.90 (95%CI: 1.56-15.46), 2.40 (95%CI: 1.26- 4.56) and 2.29 (95%CI: 1.21-4.36). For LBW, pregnancy moderate/severe anemia, pregnancy HBV infection and initial time of ART <14 gestational weeks were associated with an increased risk of LBW, with adjusted OR as 3.28 (95%CI: 1.13-9.54), 4.37 (95%CI: 1.42-13.44) and 2.68 (95%CI: 1.51-4.76), respectively. For SGA, pregnancy HBV infection and initial time of ART <14 gestational weeks were risk factors for SGA, with adjusted OR as 4.41 (95%CI: 1.43-13.63) and 2.67 (95%CI: 1.51-4.73), respectively. Conclusion: Preterm birth, LBW and SGA were common adverse pregnancy outcomes for HIV-infected pregnant women and were associated with factors as pregnancy complications, ART and husbands/partners' age.
Adult
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Birth Weight
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Child
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China/epidemiology*
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Female
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Gestational Age
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HIV Infections/epidemiology*
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Humans
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Infant, Low Birth Weight
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Infant, Newborn
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Infant, Small for Gestational Age
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Pregnancy
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Pregnancy Complications, Infectious/virology*
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Premature Birth/etiology*
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Prevalence
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Retrospective Studies
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Risk Factors
4.Relations between pregestational body mass index, gestational weight gain and birth weight of neonates among women in the Southwest areas of China: A prospective cohort study.
D T LI ; Y LIANG ; Y H GONG ; M X CHEN ; P FENG ; D G YANG ; W Y YANG ; Y LIU ; G CHENG
Chinese Journal of Epidemiology 2018;39(10):1319-1323
Objective: To explore the effects of both pre-gestational BMI and gestational weight gain (GWG) on the birth weight of neonates. Methods: A total of 5 395 pregnant women were selected from the Southwest areas of China (Sichuan/Yunnan/Guizhou) and were divided into groups as pre-gestational underweight, normal weight, overweight and obesity, according to the WHO Recommendation on BMI Classification. Guidelines on Pregnancy weight were adopted from the Institute of Medicine to confirm the accuracy of GWG. Multinomial logistic regression model was used to assess the associations between pregestational BMI and GWG, on the birth weight of the neonates. Results: After adjusting for related confounders, low pre-gestational BMI appeared as a risk factor for SGA (OR=1.91, 95%CI: 1.47-2.50), and was also associated with the decreased risk of LGA (OR=0.55, 95%CI: 0.47-0.66). Inadequate GWG was both associated with the increased risk of delivering SGA (OR=1.57, 95%CI: 1.21-2.03) and the decreased risk of LGA (OR=0.48, 95%CI: 0.41-0.57). Pre-gestational overweight/obesity (OR=1.85, 95%CI: 1.58-2.17) and excessive GWG (OR=1.87, 95%CI: 1.67- 2.11) were both positively associated with the risks on LGA. Data from the stratified analysis indicated that inadequate GWG was positively associated with the risk of SGA among underweight or normal weight women (all P<0.05), but not with those overweight/obese women. Conclusions: Pre-gestational BMI and GWG were important influencing factors on the birth weight of neonates. Health education programs for pregnant women should be intensified and gestational weight gain should also be reasonably under control.
Adult
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Birth Weight
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Body Mass Index
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China
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Female
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Gestational Weight Gain
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Humans
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Infant, Newborn
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Obesity
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Overweight
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Pregnancy
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Pregnancy Outcome
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Prospective Studies
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Weight Gain
5.Alcohol consumption and the risk of lung cancer in males: a prospective cohort study.
L P WEI ; N LI ; G WANG ; K SU ; F LI ; S CHANG ; F W TAN ; Z Y LYU ; X S FENG ; X LI ; Y H CHEN ; H D CHEN ; S H CHEN ; J S REN ; J F SHI ; H CUI ; S L WU ; M DAI ; J HE
Chinese Journal of Epidemiology 2018;39(7):909-913
Objective: To investigate the association between alcohol consumption and lung cancer risk in Chinese males. Methods: Information on alcohol consumption and outcomes were collected on a biennial basis among males in Kailuan Cohort (2006-2015). In addition, electronic databases of hospitals affiliated to Kailuan Community, Insurance Systems of Kailuan Community and Tangshan were also used for supplementary information retrieval. Cox proportional hazards regression models were used to evaluate the hazard ratio (HR) and 95%CI of baseline frequency and type of alcohol consumption associated with lung cancer risk in males. Non-drinkers were used as control group. Results: A total of 101 751 males were included and 913 new lung cancer cases were identified in the Kailuan male cohort study, with a total follow-up time of 808 146.56 person-years and a median follow-up time of 8.88 years by 31 December 2015. After adjusting for potential confounding factors, the HR of former drinkers, occasional drinkers (<1/day) and drinkers (≥1/day) were 1.30 (95%CI: 0.90-1.88), 0.80 (95%CI: 0.64-1.01) and 1.04 (95%CI: 0.85-1.27), respectively, compared with non-drinkers. In addition, drinking beer/red wine (HR=0.91, 95%CI: 0.69-1.20) and white wine (HR=0.99, 95%CI: 0.83-1.19) showed no significant association with lung cancer. The results were similar when stratified analysis were conducted. Conclusion: Our study results don't support the hypothesis that alcohol consumption is significantly associated with the risk of lung cancer in males.
Adult
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Alcohol Drinking/epidemiology*
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China/epidemiology*
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Cohort Studies
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Humans
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Lung Neoplasms/epidemiology*
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Male
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Middle Aged
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Proportional Hazards Models
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Prospective Studies
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Risk Factors
6.General plan of Shanghai Diet and Health Survey.
Z N ZHU ; Y LU ; C F WU ; S R ZOU ; H LIU ; C F WANG ; B Z LUO ; H T YU ; M MI ; G Q WANG ; L B XIONG ; W J WANG ; C Y LUO ; J J ZANG ; Z Y WANG ; X D JIA ; X G FENG ; C Y GUO ; F WU
Chinese Journal of Epidemiology 2018;39(7):876-879
Shanghai Diet and Health Survey (SDHS) was designed to prospectively access local residents' food consumption, energy and nutrient intake, related chemical contaminant exposure, and the seasonal change trend to explore the relationship of diet with health. Data from SDHS can be used as fundamental information and scientific evidences for the development of local nutrition and food safety policies.
China
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Diet
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Energy Intake
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Health Surveys
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Nutrition Policy
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Nutrition Surveys
7.Association between total cholesterol and risk of lung cancer incidence in men: a prospective cohort study.
Z Y LYU ; N LI ; G WANG ; K SU ; F LI ; L W GUO ; X S FENG ; L P WEI ; H D CHEN ; Y H CHEN ; F W TAN ; W J YANG ; S H CHEN ; J S REN ; J F SHI ; H CUI ; M DAI ; S L WU ; J HE
Chinese Journal of Epidemiology 2018;39(5):604-608
Objective: To assess the association and intensity of baseline TC level with the incidence of lung cancer in men in China. Methods: Since May 2006, all the male workers, including the employees and the retirees in Kailuan Group were recruited in the Kailuan male dynamic cohort study. Information about demographics, medical history, anthropometry and TC level were collected at the baseline interview, as well as the information of newly-diagnosed lung cancer cases during the follow-up period. According to guidelines for blood lipids in Chinese adults and the distribution in the population, TC level was classified into five groups as followed: <160, 160-, 180-, 200- and ≥240 mg/dl, with the second quintile group (160- mg/dl) serving as the referent category. Cox proportional hazards regression model and restricted cubic spline (RCS) model were used to evaluate the association and the nonlinear association between baseline TC level and the risk of lung cancer in the men. Results: By December 31, 2014, for the 109 884 men, a follow up of 763 819.25 person-years was made with a median follow-up period of 7.88 years. During the follow up, 808 lung cancer cases were identified. After adjustment for age, education level, income level, smoking status, alcohol consumption level, history of dust exposure, FPG level and BMI, HR (95%CI) of lung cancer for men with lower TC level (<160 mg/dl) and higher TC level (≥240 mg/dl) were 1.34 (1.04- 1.72) and 1.45 (1.09-1.92), respectively, compared with men with normal TC level (160- mg/dl). The results didn't change significantly after exclusion of newly diagnosed cancer cases within 2 years of follow up and subjects with the history of hyperlipidemia. Conclusion: Our results showed that TC might be associated with higher risk of lung cancer. Men with lower TC level or higher TC level had higher risk for lung cancer. Keep moderate TC level might be one of the effective precaution for the prevention of lung cancer.
Adult
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Asian People
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China/epidemiology*
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Cholesterol/blood*
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Cohort Studies
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Humans
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Incidence
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Lipids
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Lung Neoplasms/ethnology*
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Male
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Proportional Hazards Models
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Prospective Studies
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Risk Factors