Objective: To explore the characteristics of distribution on Chinese adult body mass index (BMI) in different age groups and genders and to provide reference related to obesity and related chronic diseases. Methods: Data from the China Health and Nutrition Survey in 2009 were used. Sequential sample cluster method was used to analyze the characteristics of BMI distribution in different age groups and genders by SAS. Results: Our results showed that the adult BMI in China should be divided into 3 groups according to their age, as 20 to 40 years old, 40 to 65 years old, and> 65 years old, in females or in total when grouped by difference of 5 years. For groupings in male, the three groups should be as 20 to 40, 40 to 60 years old and>60 years old. There were differences on distribution between the male and female groups. When grouped by difference of 10 years, all of the clusters for male, female and total groups as 20-40, 40-60 and>60 years old, became similar for the three classes, respectively, with no differences of distribution between gender, suggesting that the 5-years grouping was more accurate than the 10-years one, and BMI showing gender differences. Conclusions: BMI of the Chinese adults should be divided into 3 categories according to the characteristics of their age. Our results showed that BMI was increasing with age in youths and adolescents, remained unchanged in the middle-aged but decreasing in the elderly.
Adolescent ; Adult ; Age Distribution ; Aged ; Asian People/statistics & numerical data* ; Body Mass Index ; China/epidemiology* ; Female ; Humans ; Male ; Middle Aged ; Nutrition Surveys ; Obesity/ethnology* ; Sex Distribution ; Sex Factors ; Young Adult

Objective: To understand the related risk behaviors, knowledge and status of HIV/AIDS infection among rural adults of Derung minority, to provide relevant messages for the development of HIV/AIDS intervention strategy in this minority group. Methods: We used system sampling method to conduct a cross-sectional survey in 6 administration villages of Derung Township, Gongshan Derung and Nu Autonomous County in Nujiang Lisu Autonomous Prefecture of Yunnan Province, with a sample size estimated as 383. Adult residents with Derung minority in six villages of Gongshan County were involved, with relevant information collected through door-to-door visit. HIV antibody was tested and SPSS 17.0 was used for statistical analysis. Results: Information on 394 valid respondents was collected, with age as between 18 and 65 (34.39±9.74), 80.7% (318/394) as married, 54.0% (213/394) having had primary school education, 13.2% (52/394) as migrant workers. In this population, the overall HIV infection rate appeared as 0.5% (2/400), mainly through sexually transmission. The rate of awareness on HIV/AIDS was 69.8% (275/394), mainly through free publicized materials 50.0% (197/394). Rates on premarital sexual behavior on multiple sexual partners in the past year, on temporary sexual partners in the past year, having commercial sexual experiences in the past year and ever used condoms when engaging in casual sex, were 6.4% (60/366), 18.0%(66/366), 5.7%(21/366), 1.9%(7/366) and 8.0%(25/311), respectively. Conclusions: Few numbers of HIV infections were identified among the migrating workers with Derung minority, with sexual transmission as the major route, along with the increased number of rural migrant workers and the low rates both on AIDS knowledge and condom use, accompanied by the high risk sexual behavior appeared in this rural adult residents of Derung minority. Relative strategies on HIV/AIDS intervention and control should be developed.
Acquired Immunodeficiency Syndrome ; Adult ; China/epidemiology* ; Condoms ; Cross-Sectional Studies ; HIV Infections/epidemiology* ; Health Knowledge, Attitudes, Practice ; Humans ; Infections ; Risk-Taking ; Rural Population/statistics & numerical data* ; Sexual Behavior ; Sexual Partners ; Surveys and Questionnaires ; Transients and Migrants

One of the commonly accepted merits of cohort studies (CSs) refers to the exposure precedes outcome superior to other observational designs. We use Directed Acyclic Graphs to construct a causal graph among research populations under CSs. We notice that the substitution of research population in place of a susceptible one can be used for effect estimation. Its correctness depends on the outcome-free status of the substituted population and the performance of both screening and diagnosis regarding the outcomes under study at baseline. The temporal precedence of exposure over outcome occurs theoretically, despite the opposite happens in realities. Correct effect estimate is affected by both the suitability of population substitution and the validities of outcome identification and exclusion.
Causality ; Cohort Studies ; Confounding Factors, Epidemiologic ; Epidemiologic Methods ; Mass Screening ; Research Design

Confounding affects the causal relation among the population. Depending on whether the confounders are known, measurable or measured, they can be divided into four categories. Based on Directed Acyclic Graphs, the strategies for confounding control can be classified as (1) the broken-confounding-path method, which can be further divided into single and dual broken paths, corresponding to exposure complete intervention, restriction and stratification, (2) and the reserved-confounding-path method, which can be further divided into incomplete exposure intervention (in instrumental variable design and non-perfect random control test), mediator method and matching method. Among them, random control test, instrumental variable design or Mendelian randomized design, mediator method can meet the requirements for controlling all four types of confounders, while the restriction, stratification and matching methods are only applicable to known, measurable and measured confounders. Identifying the mechanisms of confounding control is a prerequisite for obtaining correct causal effect estimates, which will be helpful in research design.
Causality ; Confounding Factors, Epidemiologic ; Humans ; Models, Statistical ; Random Allocation ; Randomized Controlled Trials as Topic ; Research Design