Association between Baseline SBP/DBP and All-Cause Mortality in Residents of Shanxi, China: A Population-based Cohort Study from 2002 to 2015.

OBJECTIVE: To investigate the association between blood pressure and all-cause mortality in Shanxi, China. METHODS: The '2002 China Nutrition and Health Survey' baseline data in Shanxi province was used. A retrospective investigation was performed in 2015. The effects of SBP and DBP on the all-cause mortality were analyzed using the Cox regression model. The hazard ratio ( HR) and 95% confidence interval ( CI) were estimated by the sex and age groups. RESULTS: The follow-up rate was 76.52% over 13 years, while the cumulative mortality rate for all participants was 917.12/100,000 person-years. The mortality rose with an increasing SBP ( χ 2 trend = 270.537, P < 0.001) or DBP level ( χ 2 trend = 57.240, P < 0.001). After adjustment for the confounding factors, a significant association between mortality and high SBP (≥ 160 mmHg) and high DBP (≥ 100 mmHg), with adjusted HR ranging from 1.405- to 2.179-fold for SBP and 1.550- to 2.854-fold for DBP, was noted. Significant HRs for most DBP subgroups were found in > 60-year-old participants. Males with DBP ≥ 100 mmHg had a significantly higher mortality, with an HR (95% CI) of 2.715 (1.377-5.351). CONCLUSION: Adults with SBP > 160 mmHg and DBP > 100 mmHg had a higher mortality risk. Sex and age difference was noted in both DBP and mortality risk.

Abdominal Obesity and Its Attribution to All-cause Mortality in the General Population with 14 Years Follow-up: Findings from Shanxi Cohort in China.

OBJECTIVE: This study aimed to assess the association of waist circumference (WC) with all-cause mortality among Chinese adults. METHODS: The baseline data were from Shanxi Province of 2002 China Nutrition and Health Survey. The death investigation and follow-up visit were conducted from December 2015 to March 2016. The visits covered up to 5,360 of 7,007 participants, representing a response rate of 76.5%. The Cox regression model and floating absolute risk were used to estimate hazard ratio and 95% floating CI of death by gender and age groups (≥ 60 and < 60 years old). Sensitivity analysis was performed by excluding current smokers; participants with stroke, hypertension, and diabetes; participants who accidentally died; and participants who died during the first 2 years of follow-up. RESULTS: This study followed 67,129 person-years for 12.5 years on average, including 615 deaths. The mortality density was 916 per 100,000 person-years. Low WC was associated with all-cause mortality among men. Multifactor-adjusted hazard ratios ( HR) were 1.60 (1.35-1.90) for WC < 75.0 cm and 1.40 (1.11-1.76) for WC ranging from 75.0 cm to 79.9 cm. Low WC (< 70.0 cm and 70.0-74.9 cm) and high WC (≥ 95.0 cm) groups had a high risk of mortality among women. The adjusted HRs of death were 1.43 (1.11-1.83), 1.39 (1.05-1.84), and 1.91 (1.13-3.22). CONCLUSION: WC was an important predictor of death independent of body mass index (BMI). WC should be used as a simple rapid screening and predictive indicator of the risk of death.

[Distribution and timing of antibody to SARS-CoV in SARS cases of transmission chain or non-transmission chain].

BACKGROUND: To find out the timing of serologic responses after illness onset and distribution of IgG antibody to SARS-CoV in SARS cases of transmission chain or non-transmission chain. METHODS: The IgG and IgM antibodies to SARS-CoV were tested by indirect ELISA in serum samples from 301 clinically diagnosed SARS cases. RESULTS: Totally 158 SARS cases were involved in 15 chains of transmission. The positive rates of SARS-CoV IgG in those chains were 85.70%-100.00% and the overall rate was 94.30% (149/158). The chain of transmission could spread to four generations, but the SARS cases were reduced with increase of generations. There was no significant difference among positive rates of SARS-CoV IgG for generations, Chi square=5.11, P greater than 0.05. The positive rate of SARS-CoV IgG in cases who were not in chain of transmission was 12.59%(18/143) which was statistically significantly different from that of cases in chain of transmission, Chi square=199.64, P less than 0.001. During days 0-7,8-14,15-21,22-30 after onset, the cumulated positive rate of SARS-CoV IgG was 16.67%, 40.00%, 70.00% and 93.10%, respectively, then was kept at the level above 90% and lasted for 217 days. The cumulated positive rate of SARS-CoV IgM during days 0-7 after onset was the same to that of IgG. During days 8-14, 55.17% of cases had seroconversion for IgM which reached a peak (86.96%) during days 21-30. Then the rate rapidly declined. CONCLUSION: More than 94% of cases with SARS could produce IgG antibody when they were infected by SARS-CoV. Detecting SARS-CoV IgG could provide a diagnostic evidence for case confirmation. SARS-CoV IgG appeared as early as 7 days after onset and reached the peak at about weeks 4. Then the high rate of antibody was maintained for more than 6 months.