In the studies of modern epidemiology, exposure in a short term cannot fully elaborate the mechanism of the development of diseases or health-related events. Thus, lights have been shed on to life course epidemiology, which studies the exposures in early life time and their effects related to the development of chronic diseases. When exploring the mechanism leading from one exposure to an outcome and its effects through other factors, due to the existence of time-variant effects, conventional statistic methods could not meet the needs of etiological analysis in life course epidemiology. This paper summarizes the dynamic path analysis model, including the model structure and significance, and its application in life course epidemiology. Meanwhile, the procedure of data processing and etiology analyzing were introduced. In conclusion, dynamic path analysis is a useful tool which can be used to better elucidate the mechanisms that underlie the etiology of chronic diseases.
Chronic Disease/epidemiology* ; Epidemiologic Studies ; Humans ; Models, Theoretical ; Risk Factors ; Time

Objective: To carry out a quantitative estimate that related to the effects of short-term exposure to PM(2.5) on all-cause mortality and emergency visits in China by using the systematic review and Meta-analysis. Methods: We selected all the studies published before March 2018 from China National Knowledge Infrastructure, Wanfang database, PubMed and EMBASE and data on relative risk (RR), excess risk (ER) and their 95%CIs: appeared in these papers were extracted. According to the differences in the size or direction (heterogeneity) of the results, we computed summary estimates of the effect values using a random-effect or fixed effect model. We also conducted the subgroup analysis and Meta-analysis to have assessed the selected studies for the evidence of study bias. Results: A total of 33 original studies, indexed in databases, were identified. Among those studies, 39 sets of data on mortality and 4 sets of data on emergency were valid to show that within the daily concentration range from 47.7 to 176.7 μg/m(3), for 10 μg/m(3) increases in PM(2.5) concentrations, it would increase the daily numbers of deaths by 0.49% (95%CI: 0.39%-0.59%) and 0.30% (95%CI: 0.10%-0.51%) for all-cause deaths and all-cause emergency-room visits, respectively. For subgroup analysis, the combined effect of PM(2.5) in causing short-term all-cause deaths in the northern areas (ER=0.42%, 95%CI: 0.30%-0.54%) seemed lower than that in the southern areas (ER=0.63%, 95%CI: 0.44%-0.82%). The combined effect of PM(2.5) concentration below 75 μg/m(3) (ER=0.50%, 95%CI: 0.37%-0.62%) was higher than that of PM(2.5) concentration ≥75 μg/m(3) (ER=0.39%, 95%CI: 0.26%-0.52%). Conclusion: Within the concentration range from 47.7 to 176.7 μg/m(3), short-term exposure to current level of PM(2.5) might increase both the all-cause daily mortality and daily emergency visits in China.
Air Pollutants ; Air Pollution/statistics & numerical data* ; China ; Databases, Factual ; Emergency Service, Hospital/statistics & numerical data* ; Environmental Exposure/statistics & numerical data* ; Female ; Humans ; Male ; Particulate Matter/toxicity* ; Time Factors

Humans ; Neoplasms/genetics* ; Nuclear Proteins ; Co-Repressor Proteins ; Cell Line, Tumor ; Molecular Chaperones

Objective: To understand the disease progression and human leukocyte antigen (HLA) gene polymorphism of HIV-infected persons without disease progress for long term, also known as long-term non-progressors (LTNPs), in Henan province. Methods: A retrospective study was conducted in 48 LTNPs with complete detection and follow-up information during 2011-2016 in Henan. Changes of CD(4)(+)T cells counts (CD(4)) and viral load (VL) during follow-up period were discussed. Polymerase chain reaction-sequence-specific oligonucleotide probe (PCR-SSOP) was used for the analyses of HLA-A, HLA-B and HLA-DRB1 alleles between LTNPs and healthy controls. Results: From 2011 to 2016, forty-eight LTNPs showed a decrease of the quartile (P(25)-P(75)) of CD(4) from 601.00 (488.50-708.72)/μl to 494.00 (367.00-672.00)/μl, and the difference was significant (P<0.05). The increase of the quartile (P(25)-P(75)) of log(10)VL from 3.40 (2.87-3.97) to 3.48 (2.60-4.37), but the difference was not significant (P>0.05). HLA polymorphism analysis revealed that HLA-B*13:02 and HLA-B*40:06 were more common in LTNPs (P<0.05), while HLA-B*46:01 and HLA-DRB1*09:01 were more common in healthy controls (P<0.05). Conclusions: The CD(4) of LTNPs in Henan showed a downward trend year by year. HLA-B*13:02 and B*40:06 might be associated with delayed disease progression for HIV infected persons in Henan.
Adult ; Alleles ; Asian People/genetics* ; China ; Disease Progression ; Female ; HIV ; HIV Infections/virology* ; HIV-1/immunology* ; HLA-B Antigens/genetics* ; Humans ; Middle Aged ; Polymorphism, Genetic ; Retrospective Studies ; Viral Load

Objective: To estimate the association between high-sensitivity C-reactive protein (hs-CRP) and cardiovascular events as well as all-cause mortality events. Methods: During 2009- 2010, out of the 11 623 individuals, 1 000 participants aged 35-64 years, were recruited and divided into 12 age-groups, to have received a study on CVD risk factors. Information on the risk factors of cardiovascular diseases was also collected. Fasting blood sample was gathered for all the participants, with hs-CRP tested. Participants in 7 out of the 12 sites were followed, with 6.21 years (36 075 person-years) as the median follow-up period. Cardiovascular and all-cause mortality events were collected. A total of 6 177 participants had been followed after excluding participants who had baseline infections, or did not take hs-CRP test/physical examination at the baseline. Finally, 5 984 participants were included for analysis. Participants were categorized into three groups based on the hs-CRP (mg/L) values: <1, 1-3 and >3, respectively. Cox proportional hazards regression model was used to analyze the relationships between hs-CRP with cardiovascular events or all-cause mortality events, after adjusting for confounding factors. Results: Mean age of the participants was 50.2 years. The incidence rates of cardiovascular disease events were 3.6/1 000 person-years, 7.1/1 000 person-years,and 10.4/1 000 person-years among three groups and 3.0/1 000 person-years, 5.7/1 000 person-years, 9.1/1 000 person-years for all-cause mortality events, respectively. After adjusting for confounding factors, the hazard risks (HR) for cardiovascular events were 1.33 (95%CI: 0.95-1.84) in the hs-CRP 1-3 mg/L group and 1.76 (95%CI: 1.20-2.60) in the hs-CRP>3 mg/L group when comparing with the hs-CRP<1 mg/L group (trend test P=0.003). The HRs for all-cause mortality events were 1.76 (95%CI: 1.23-2.54) and 2.64 (95%CI: 1.74-4.01) (trend test P<0.001), respectively. Conclusion: Hs-CRP appeared an independent predictor for cardiovascular events and all-cause mortality events.
Adult ; Asian People ; C-Reactive Protein/metabolism* ; Cardiovascular Diseases/mortality* ; China/epidemiology* ; Female ; Hospital Mortality ; Humans ; Incidence ; Male ; Middle Aged ; Proportional Hazards Models ; Risk Factors