1.Associations between family history of major chronic diseases and healthy lifestyles in Chinese adults.
N B ZHU ; M ZHOU ; C Q YU ; Y GUO ; Z BIAN ; Y L TAN ; P PEI ; J S CHEN ; Z M CHEN ; J LYU ; L M LI
Chinese Journal of Epidemiology 2018;39(12):1537-1543
Objective: To examine the associations between family history of major chronic diseases and healthy lifestyle in adults in China. Methods: Data were from the baseline and second survey of China Kadoorie Biobank study, which were conducted during 2004-2008 and 2013-2014, respectively. After excluding participants with self-reported histories of coronary heart disease, stroke, cancer or diabetes, a total of 461 213 adults from baseline survey and 20 583 adults from second survey were included in the current study. Participants who reported a family history of acute myocardial infarction, stroke, cancer, or diabetes of any first-degree relative (i.e., biological father, mother, or siblings) were defined as having a family history of major chronic diseases. Healthy lifestyles were defined as current nonsmoking, non-excessive alcohol drinking, eating vegetables and fruits daily, upper quarter of physical activity level, body mass index (BMI) of (18.5-23.9) kg/m(2), and waist- to-hip ratio (WHR) <0.90 (man)/<0.85 (women). Results: At baseline survey, 36.5% of the participants had family history of major chronic diseases. Proportions of the above six healthy lifestyles were 70.5%, 93.0%, 18.0%, 25.0%, 53.4%, and 43.5%, respectively. Compared with participants without family history, the proportions of current nonsmoking, non-excessive drinking, normal BMI, and normal WHR were lower in participants with family history of major chronic diseases, while the proportions of eating vegetables and fruits daily, and being physically active, were higher. In general, the absolute differences in these proportions between participants with and without a family history were only slight. Similar results were observed when other family history status (the type or number of disease, the category or number of affected family members) were analysed. The association between family history of major chronic diseases and healthy lifestyles was consistently observed in the second survey 10 years later. Conclusion: In Chinese population, adults with family history of major chronic diseases did not adopt healthier lifestyles.
Adult
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Body Mass Index
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China/epidemiology*
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Chronic Disease/ethnology*
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Female
;
Healthy Lifestyle
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Humans
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Risk Factors
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Waist-Hip Ratio
2.Prevalence of 'healthy lifestyle' in Chinese adults.
N B ZHU ; M ZHOU ; C Q YU ; Y GUO ; Z BIAN ; Y L TAN ; P PEI ; J S CHEN ; Z M CHEN ; J LYU ; L M LI
Chinese Journal of Epidemiology 2019;40(2):136-141
Objective: To examine the prevalence of 'healthy lifestyle' from data extracted from the China Kadoorie Biobank (CKB) of 0.5 million adults from ten areas across China. Methods: After excluding participants with self-reported histories of coronary heart disease, stroke or cancer, a total of 487 198 participants at baseline (2004-2008) and 22 604 participants at second survey (2013- 2014), were included for analysis. 'Healthy lifestyle' was defined as haing the following characteristics: a) never smoking or having stopped smoking for reasons other than illness; b) alcohol drinking <25 g/day (men)/<15 g/day (women); c) diet rich in vegetables, fruits, legumes and fish, but low in red meat; d) upper quarter of the physical activity level; e) body mass index of 18.5-23.9 kg/m(2) and waist circumstance <85 cm (men)/80 cm (women). We calculated the healthy lifestyle scores (HLS) by counting the number of all the healthy lifestyle factors, with a range from 0 to 6. Results: At baseline, prevalence rates of the above five healthy lifestyles (except physical activity) were 70.6%, 92.6%, 8.7%, 52.6% and 59.0%, respectively, with the mean HLS being 3.1±1.2. Most participants (81.4%) had2-4 healthy components, while only 0.7% (0.2% in men and 1.0% in women) of all the participants had all six healthy lifestyles. Participants who were women, at younger age, with more schooling and rural residents, were more likely to adhere to the healthy lifestyle. After ten years, the mean HLS showed a slight decrease. Conclusion: The prevalence of optimal lifestyles in Chinese adults appeared extremely low. Levels of 'healthy lifestyle' varied greatly among those populations with different socio-demographic characteristics across the ten areas in China.
Adult
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Asian People/statistics & numerical data*
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China
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Female
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Healthy Lifestyle
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Humans
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Life Style
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Male
;
Prevalence
;
Risk Factors
3.Dairy product intake and influencing factors in residents of Shanghai.
Z Y WANG ; Z N ZHU ; J J ZANG ; S R ZOU ; B Z LUO ; X D JIA ; C Y GUO ; J X WANG ; S F SUN ; F WU
Chinese Journal of Epidemiology 2018;39(7):886-891
Objective: To understand the dairy product intake in residents of Shanghai, its seasonal changes and the influencing factors. Methods: A group of representative residents was surveyed and followed up in four seasons in Shanghai during 2012-2014. Information of the dairy product intake was collected by food frequency questionnaire. Results: Liquid milk and yogurt were the main dairy products consumed by the residents of Shanghai. The annual dairy product intake rate was 41.8%, and the median of dairy intake of milk was 145.3 g/d, accounting for 48.4% of reference dietary intake value, and only 4.5% of people's diary product intake reached intake reference value. The area specific differences in intake rate of liquid milk, yogurt and total dairy product intake were significant in four seasons and in whole year (P<0.05). The area specific differences in total dairy product intake were significant (P<0.05) in spring, summer and winter. In general, it was shown that dairy product intake in urban area was higher than that in suburban area and in rural area. The data of Shanghai and urban area showed that the total dairy product intake was significant different among four seasons (P<0.05), but no significant difference was observed among four seasons in suburban and rural areas. The logistic regression analysis results showed that people with average household income higher than local average level or higher education levels were more likely to consume dairy products daily. People who reported to have good health status or sleep quality were more likely to drink milk compared to those who have worse health status or sleep quality (P<0.05). Conclusions: Even though dairy product intake rate and volume have been improved in residents in Shanghai, it is still stay at lower level, especially in rural area. To promote consumption of dairy products, it is necessary to control diary product price from macro perspective, and strengthen healthy education about the importance of dairy product intake and guide residents to select suitable dairy products.
Animals
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China
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Dairy Products
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Diet
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Humans
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Milk
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Seasons
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Surveys and Questionnaires
4.Related factors on secondary drug resistance in HIV infected persons receiving antiretroviral therapy in Shandong province: a case-control study.
S X SHAN ; X G SUN ; X Y ZHU ; N ZHANG ; M Z LIAO ; T HUANG ; R LI ; T YANG ; Q DUAN ; D M KANG
Chinese Journal of Epidemiology 2018;39(7):943-947
Objective: To explore the causes of secondary drug resistance among HIV infected persons who were receiving antiretroviral therapy in Shandong province, and provide evidence for the improvement of antiretroviral therapy strategy. Methods: A case-control study was designed with 1∶2 matching on case and control groups. Household and face-to-face interview were conducted in October, 2015. All the study subjects were screened from both the drug resistant database of antiretroviral therapy of Shandong provincial laboratory and national comprehensive HIV/AIDS database in Shandong. The sample size was estimated as 330 cases including 110 drug resistant and 220 non-drug resistant cases. Subjects were people living with HIV/AIDS (PLWHA) aged 15 or older and received antiretroviral therapy for more than 6 months with records of virus load (VL). Subjects who presented VL above 1 000 copies/ml would receive drug resistance testing. Subjects who were confirmed resistant to with secondary drug, were selected as case group, the rest subjects with non-secondary drug resistance would form the control group. EpiData 3.1 software and SPSS 22.0 software were used to establish a database. Related influencing factors were analyzed with non- conditional stepwise logistic regression model. Results: A total of 288 cases were enrolled, including 103 in the case and 185 cases in the control groups, with average age as (37.62±1.06) years and (37.90±0.74) years old, respectively. Most of them were male, married/cohabitant, with education level of junior/senior high school or below and under Han nationality. Results from the multivariate logistic regression model showed that ORs (95%CI) of receiving antiretroviral therapy for 1-3 years, or more than 3 years were equal to 8.80 (3.69-21.00), 3.00 (1.20-7.53), compared with receiving antiretroviral therapy less than one year, respectively. OR (95%CI) of Among the PLWHA that with missing rate above 25.0% on medication, the OR appeared as 15.41(4.59-51.71), compared with not missing medication. OR (95%CI) among those who took the medicine themselves was 0.22 (0.07-0.74). Conclusions: Factors as duration of treatment, missing rate on medication and taking medicine by oneself were of influence on secondary drug resistance. Other factors as duration on antiretroviral therapy longer than 1 year, missing rate above 25.0% on medication, were related to the risk on secondary drug resistance. However, if the medicine was taken by oneself, it served as a protective factor for secondary drug resistance. It is necessary to strengthen the intervention and health education programs related to antiretroviral therapy.
Adult
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Anti-HIV Agents
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Antiretroviral Therapy, Highly Active
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Case-Control Studies
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Drug Resistance
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HIV/isolation & purification*
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HIV Infections/drug therapy*
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Humans
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Infant
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Logistic Models
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Male
5.Dietary pattern and its seasonal characteristic in residents of Shanghai, 2012-2014.
Z N ZHU ; J J ZANG ; Z Y WANG ; S R ZOU ; X D JIA ; C Y GUO ; L F MA ; D XU ; F WU
Chinese Journal of Epidemiology 2018;39(7):880-885
Objective: To analyze dietary pattern and its seasonal characteristic in residents of Shanghai. Methods: A representative sample was surveyed and followed up in four different seasons during 2012-2014. Information of food consumption was collected by 3-day 24-hour dietary recall and condiments weighing method. The intake of energy and macronutrients were calculated according to the Chinese Food Composition Table. Results: Annual average daily intake was 191.09 g for grain, 250.69 g for vegetable, 107.23 g for fruit, 223.53 g for animal food, 96.39 g for dairy products, 11.19 g for soy bean and its product, 36.54 g for cooking oil, and 7.57 g for salt. Significant differences were observed in food consumption among different seasons (P<0.05). Annual average daily intake of energy was 2 048.70 kcal, carbohydrates was 241.04 g, protein was 82.35 g, fat was 85.99 g and proportion of energy contributed by fat was 37.99%. Different seasons, age, residential areas, and income were influence factors for food consumption (P<0.05). Conclusions: Energy intake was adequate in residents of Shanghai. Unhealthy dietary pattern, including high proportion of fat and consumption of cooking oil and salt (lower than average intake of large cities, but higher than recommendation), was observed. It is necessary to take appropriate nutrition intervention, and future researches on dietary intake should consider seasonal influences.
China
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Cities
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Diet
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Energy Intake
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Feeding Behavior
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Humans
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Seasons
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