1.Association between Fish Consumption and Stroke Incidence Across Different Predicted Risk Populations: A Prospective Cohort Study from China.
Hong Yue HU ; Fang Chao LIU ; Ke Yong HUANG ; Chong SHEN ; Jian LIAO ; Jian Xin LI ; Chen Xi YUAN ; Ying LI ; Xue Li YANG ; Ji Chun CHEN ; Jie CAO ; Shu Feng CHEN ; Dong Sheng HU ; Jian Feng HUANG ; Xiang Feng LU ; Dong Feng GU
Biomedical and Environmental Sciences 2025;38(1):15-26
OBJECTIVE:
The relationship between fish consumption and stroke is inconsistent, and it is uncertain whether this association varies across predicted stroke risks.
METHODS:
A cohort study comprising 95,800 participants from the Prediction for Atherosclerotic Cardiovascular Disease Risk in China project was conducted. A standardized questionnaire was used to collect data on fish consumption. Participants were stratified into low- and moderate-to-high-risk categories based on their 10-year stroke risk prediction scores. Hazard ratios ( HRs) and 95% confidence intervals ( CIs) were estimated using Cox proportional hazard models and additive interaction by relative excess risk due to interaction (RERI), attributable proportion (AP), and synergy index (SI).
RESULTS:
During 703,869 person-years of follow-up, 2,773 incident stroke events were identified. Higher fish consumption was associated with a lower risk of stroke, particularly among moderate-to-high-risk individuals ( HR = 0.53, 95% CI: 0.47-0.60) than among low-risk individuals ( HR = 0.64, 95% CI: 0.49-0.85). A significant additive interaction between fish consumption and predicted stroke risk was observed (RERI = 4.08, 95% CI: 2.80-5.36; SI = 1.64, 95% CI: 1.42-1.89; AP = 0.36, 95% CI: 0.28-0.43).
CONCLUSION
Higher fish consumption was associated with a lower risk of stroke, and this beneficial association was more pronounced in individuals with moderate-to-high stroke risk.
Humans
;
China/epidemiology*
;
Male
;
Female
;
Stroke/etiology*
;
Middle Aged
;
Prospective Studies
;
Incidence
;
Aged
;
Animals
;
Fishes
;
Risk Factors
;
Diet
;
Seafood
;
Adult
;
Cohort Studies
2.Glycemic Control and Diabetes Duration in Relation to Subsequent Myocardial Infarction among Patients with Coronary Heart Disease and Type 2 Diabetes.
Fu Rong LI ; Yan DOU ; Chun Bao MO ; Shuang WANG ; Jing ZHENG ; Dong Feng GU ; Feng Chao LIANG
Biomedical and Environmental Sciences 2025;38(1):27-36
OBJECTIVE:
This study aimed to investigate the impact of glycemic control and diabetes duration on subsequent myocardial infarction (MI) in patients with both coronary heart disease (CHD) and type 2 diabetes (T2D).
METHODS:
We conducted a retrospective cohort study of 33,238 patients with both CHD and T2D in Shenzhen, China. Patients were categorized into 6 groups based on baseline fasting plasma glucose (FPG) levels and diabetes duration (from the date of diabetes diagnosis to the baseline date) to examine their combined effects on subsequent MI. Cox proportional hazards regression models were used, with further stratification by age, sex, and comorbidities to assess potential interactions.
RESULTS:
Over a median follow-up of 2.4 years, 2,110 patients experienced MI. Compared to those with optimal glycemic control (FPG < 6.1 mmol/L) and shorter diabetes duration (< 10 years), the fully-adjusted hazard ratio ( HR) (95% Confidence Interval [95% CI]) for those with a diabetes duration of ≥ 10 years and FPG > 8.0 mmol/L was 1.93 (95% CI: 1.59, 2.36). The combined effects of FPG and diabetes duration on MI were largely similar across different age, sex, and comorbidity groups, although the excess risk of MI associated with long-term diabetes appeared to be more pronounced among those with atrial fibrillation.
CONCLUSION
Our study indicates that glycemic control and diabetes duration significant influence the subsequent occurrence of MI in patients with both CHD and T2D. Tailored management strategies emphasizing strict glycemic control may be particularly beneficial for patients with longer diabetes duration and atrial fibrillation.
Humans
;
Diabetes Mellitus, Type 2/blood*
;
Male
;
Female
;
Middle Aged
;
Aged
;
Coronary Disease/complications*
;
Myocardial Infarction/etiology*
;
Retrospective Studies
;
China/epidemiology*
;
Glycemic Control
;
Blood Glucose
;
Adult
;
Risk Factors
;
Time Factors
3.The Sequential Mediating Roles of Body Pain and Self-Reported Health Status in the Relationship between Sleep Duration and Life Satisfaction.
Jia Feng LI ; Xue Wei FU ; Dan YANG ; Ye WANG ; Ting CHEN ; Yang PENG ; Feng Hao YANG ; Yu Chen ZHAN ; Yu WANG ; Xiang Dong TANG
Biomedical and Environmental Sciences 2025;38(1):47-55
OBJECTIVE:
This study examines the sequential mediating roles of body pain and self-reported health in the association between sleep duration and self-reported life satisfaction among elderly Chinese adults.
METHODS:
Data from the fifth wave of the China Health and Retirement Longitudinal Survey (CHARLS) were used to analyse the relationships between sleep duration and body pain, self-reported health, and life satisfaction through logistic regression and Restricted Cubic Spline (RCS) analyses. The sequential mediation effects of body pain and self-reported health status were examined via chain mediation analysis.
RESULTS:
Logistic regression analysis showed that sleeping fewer than 6 hours or 6-7 hours was linked to higher risks of body pain, poor health, and dissatisfaction with life compared to sleeping 7-8 hours (all P < 0.05). Additionally, those sleeping more than 9 hours also had increased risks of poor health and dissatisfaction with life compared to those sleeping 7-8 hours (all P < 0.05). Chain mediation analysis showed that body pain and self-reported health status sequentially mediated 46.15% of the association between sleep duration and life satisfaction.
CONCLUSION
Body pain and self-reported health may shape the relationship between sleep duration and life satisfaction in elderly Chinese adults.
Humans
;
Male
;
Female
;
Aged
;
Personal Satisfaction
;
Sleep
;
Health Status
;
Self Report
;
China
;
Middle Aged
;
Longitudinal Studies
;
Pain/psychology*
;
Sleep Duration
4.Impact of Laboratory Analytical Indicators on Positive Blood Culture Detection Rates: A Single Center Study.
Di WANG ; Ling Li LIU ; Rui Rui MA ; Li Jun DU ; Gui Xue CHENG ; Ya Li LIU ; Qiao Lian YI ; Ying Chun XU
Biomedical and Environmental Sciences 2025;38(3):303-312
OBJECTIVE:
Blood culture remains the gold standard for diagnosing bloodstream infections. Clinical laboratories must ensure the quality of blood culture processes from receipt to obtaining definitive results. We examined laboratory analytical indicators associated with positive blood culture results.
METHODS:
Blood cultures collected from Peking Union Medical College Hospital between January 1, 2020, and December 31, 2022, were retrospectively analyzed. The mode of transportation (piping logistics delivery vs. staff), source of blood cultures (outpatient/emergency department vs. inpatient department), rotation of personnel, and time of reception (8:00-19:59 vs. 20:00-07:59) were compared between blood culture-positive and -negative results.
RESULTS:
Between 2020 and 2022, the total positive rate of blood culture was 8.07%. The positive rate of blood cultures in the outpatient/emergency department was significantly higher than that in the inpatient department (12.46% vs. 5.83%; P < 0.0001). The time-to-detection of blood cultures was significantly affected by the delivery mode and personnel rotation. The blood culture positive rate of the total pre-analytical time within 1 h was significantly higher than that within 1-2 h or > 2 h ( P < 0.0170).
CONCLUSION
Laboratory analytical indicators such as patient source, transportation mode, and personnel rotation significantly impacted the positive detection rate or time of blood culture.
Blood Culture/statistics & numerical data*
;
Humans
;
Retrospective Studies
;
Emergency Service, Hospital/statistics & numerical data*
5.Association between Solid Cooking Fuel Use and Frailty Trajectories: Findings from a Nationwide Cohort in China.
Yang LIU ; Bing Jie WU ; Bing Bing FAN ; Chun Xia LI ; Chang SU ; Ai Dong LIU ; Tao ZHANG
Biomedical and Environmental Sciences 2025;38(6):653-665
OBJECTIVE:
Burning solid cooking fuel contributes to household air pollution and is associated with frailty. However, how solid cooking fuel use contributes to the development of frailty has not been well illustrated.
METHODS:
This study recruited 8,947 participants aged ≥ 45 years from the China Health and Retirement Longitudinal Study, 2011-2018. Group-based trajectory modeling was employed to identify frailty trajectories. Multinomial logistic regression was used to assess the association between solid cooking fuel use and frailty trajectories. Population-attributable fractions were used to estimate the frailty burden from solid fuel use.
RESULTS:
We identified three frailty trajectories: low-stable ( n = 5,789), moderate-increasing ( n = 2,603), and fast-increasing ( n = 555). Solid fuel use was associated with higher odds of being in the moderate-increasing ( OR: 1.24, 95% CI: 1.08-1.42) and fast-increasing ( OR: 1.48, 95% CI: 1.14-1.92) trajectories. These associations were strengthened by longer solid fuel use ( P for trend < 0.001). Switching to clean fuel significantly reduced the risk of being in these trajectories compared with persistent solid fuel users. Without solid fuel, 8% of moderate- and 19% of fast-increasing trajectories demonstrated frailty development like the low-stable group.
CONCLUSION
Solid cooking fuel use is associated with frailty trajectories in middle-aged and older Chinese populations.
Humans
;
China/epidemiology*
;
Cooking
;
Male
;
Female
;
Middle Aged
;
Aged
;
Air Pollution, Indoor/adverse effects*
;
Frailty/etiology*
;
Longitudinal Studies
;
Cohort Studies
6.Occupational Hazard Factors and the Trajectory of Fasting Blood Glucose Changes in Chinese Male Steelworkers Based on Environmental Risk Scores: A Prospective Cohort Study.
Ming Xia ZOU ; Wei DU ; Qin KANG ; Yu Hao XIA ; Nuo Yun ZHANG ; Liu FENG ; Fei Yue LI ; Tian Cheng MA ; Ya Jing BAO ; Hong Min FAN
Biomedical and Environmental Sciences 2025;38(6):666-677
OBJECTIVE:
We aimed to investigate the patterns of fasting blood glucose (FBG) trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers.
METHODS:
The study cohort included 3,728 workers who met the selection criteria for the Tanggang Occupational Cohort (TGOC) between 2017 and 2022. A group-based trajectory model was used to identify the FBG trajectories. Environmental risk scores (ERS) were constructed using regression coefficients from the occupational hazard model as weights. Univariate and multivariate logistic regression analyses were performed to explore the effects of occupational hazard factors using the ERS on FBG trajectories.
RESULTS:
FBG trajectories were categorized into three groups. An association was observed between high temperature, noise exposure, and FBG trajectory ( P < 0.05). Using the first quartile group of ERS1 as a reference, the fourth quartile group of ERS1 had an increased risk of medium and high FBG by 1.90 and 2.21 times, respectively (odds ratio [ OR] = 1.90, 95% confidence interval [ CI]: 1.17-3.10; OR = 2.21, 95% CI: 1.09-4.45).
CONCLUSION
An association was observed between occupational hazards based on ERS and FBG trajectories. The risk of FBG trajectory levels increase with an increase in ERS.
Humans
;
Male
;
Adult
;
Blood Glucose/analysis*
;
China
;
Prospective Studies
;
Occupational Exposure/adverse effects*
;
Risk Factors
;
Middle Aged
;
Steel
;
Fasting/blood*
;
Metal Workers
;
East Asian People
7.Association between ABO Blood Types and the Risk of Gestational Diabetes Mellitus: A Prospective Cohort Study.
Shuang Hua XIE ; Shuang Ying LI ; Shao Fei SU ; En Jie ZHANG ; Shen GAO ; Yue ZHANG ; Jian Hui LIU ; Min Hui HU ; Rui Xia LIU ; Wen Tao YUE ; Cheng Hong YIN
Biomedical and Environmental Sciences 2025;38(6):678-692
OBJECTIVE:
To investigate the association between ABO blood types and gestational diabetes mellitus (GDM) risk.
METHODS:
A prospective birth cohort study was conducted. ABO blood types were determined using the slide method. GDM diagnosis was based on a 75-g, 2-h oral glucose tolerance test (OGTT) according to the criteria of the International Association of Diabetes and Pregnancy Study Groups. Logistic regression was applied to calculate the odds ratios ( ORs) and 95% confidence intervals ( CIs) between ABO blood types and GDM risk.
RESULTS:
A total of 30,740 pregnant women with a mean age of 31.81 years were enrolled in this study. The ABO blood types distribution was: type O (30.99%), type A (26.58%), type B (32.20%), and type AB (10.23%). GDM was identified in 14.44% of participants. Using blood type O as a reference, GDM risk was not significantly higher for types A ( OR = 1.05) or B ( OR = 1.04). However, women with type AB had a 19% increased risk of GDM ( OR = 1.19, 95% CI = 1.05-1.34; P < 0.05), even after adjusting for various factors. This increased risk for type AB was consistent across subgroup and sensitivity analyses.
CONCLUSION
The ABO blood types may influence GDM risk, with type AB associated with a higher risk. Incorporating it-either as a single risk factor or in combination with other known factors-could help identify individuals at risk for GDM before or during early pregnancy.
Humans
;
Female
;
Pregnancy
;
Diabetes, Gestational/etiology*
;
ABO Blood-Group System
;
Adult
;
Prospective Studies
;
Risk Factors
;
Young Adult
8.Life-Course Trajectories of Body Mass Index, Insulin Resistance, and Incident Diabetes in Chinese Adults.
Zhi Yuan NING ; Jing Lan ZHANG ; Bing Bing FAN ; Yan Lin QU ; Chang SU ; Tao ZHANG
Biomedical and Environmental Sciences 2025;38(6):706-715
OBJECTIVE:
This study aimed to explore the interplay between the life-course body mass index (BMI) trajectories and insulin resistance (IR) on incident diabetes.
METHODS:
This longitudinal cohort included 2,336 participants who had BMI repeatedly measured 3-8 times between 1989 and 2009, as well as glucose and insulin measured in 2009. BMI trajectories were identified using a latent class growth mixed model. The interplay between BMI trajectories and IR on diabetes was explored using the four-way effect decomposition method. Logistic regression and mediation models were used to estimate the interaction and mediation effects, respectively.
RESULTS:
Three distinct BMI trajectory groups were identified: low-stable ( n = 1,625), medium-increasing ( n = 613), and high-increasing ( n = 98). Both interaction and mediation effects of BMI trajectories and IR on incident diabetes were significant ( P < 0.05). The proportion of incident diabetes was higher in the IR-obesity than in the insulin-sensitivity (IS) obesity group (18.9% vs. 5.8%, P < 0.001). After adjusting for covariates, the odds ratios (95% confidence intervals) of the IR, IS-obesity, and IR-obesity groups vs. the normal group were 3.22 (2.05, 5.16), 2.05 (1.00, 3.97), and 7.98 (5.19, 12.62), respectively. IR mediated 10.7% of the total effect of BMI trajectories on incident diabetes ( P < 0.001).
CONCLUSION
We found strong interactions and weak mediation effects of IR on the relationship between life-course BMI trajectories and incident diabetes. IS-obesity is associated with a lower risk of incident diabetes than IR-obesity.
Humans
;
Insulin Resistance
;
Body Mass Index
;
Male
;
Female
;
Middle Aged
;
China/epidemiology*
;
Adult
;
Longitudinal Studies
;
Incidence
;
Diabetes Mellitus/epidemiology*
;
Aged
;
Obesity/epidemiology*
;
Diabetes Mellitus, Type 2/epidemiology*
;
East Asian People
9.A Retrospective Study of Pregnancy and Fetal Outcomes in Mothers with Hepatitis C Viremia.
Wen DENG ; Zi Yu ZHANG ; Xin Xin LI ; Ya Qin ZHANG ; Wei Hua CAO ; Shi Yu WANG ; Xin WEI ; Zi Xuan GAO ; Shuo Jie WANG ; Lin Mei YAO ; Lu ZHANG ; Hong Xiao HAO ; Xiao Xue CHEN ; Yuan Jiao GAO ; Wei YI ; Yao XIE ; Ming Hui LI
Biomedical and Environmental Sciences 2025;38(7):829-839
OBJECTIVE:
To investigate chronic hepatitis C virus (HCV) infection's effect on gestational liver function, pregnancy and delivery complications, and neonatal development.
METHODS:
A total of 157 HCV antibody-positive (anti-HCV[+]) and HCV RNA(+) patients (Group C) and 121 anti-HCV(+) and HCV RNA(-) patients (Group B) were included as study participants, while 142 anti-HCV(-) and HCV RNA(-) patients (Group A) were the control group. Data on biochemical indices during pregnancy, pregnancy complications, delivery-related information, and neonatal complications were also collected.
RESULTS:
Elevated alanine aminotransferase (ALT) rates in Group C during early, middle, and late pregnancy were 59.87%, 43.95%, and 42.04%, respectively-significantly higher than Groups B (26.45%, 15.70%, 10.74%) and A (23.94%, 19.01%, 6.34%) ( P < 0.05). Median ALT levels in Group C were significantly higher than in Groups A and B at all pregnancy stages ( P < 0.05). No significant differences were found in neonatal malformation rates across groups ( P > 0.05). However, neonatal jaundice incidence was significantly greater in Group C (75.16%) compared to Groups A (42.25%) and B (57.02%) ( χ 2 = 33.552, P < 0.001). HCV RNA positivity during pregnancy was an independent risk factor for neonatal jaundice ( OR = 2.111, 95% CI 1.242-3.588, P = 0.006).
CONCLUSIONS
Chronic HCV infection can affect the liver function of pregnant women, but does not increase the pregnancy or delivery complication risks. HCV RNA(+) is an independent risk factor for neonatal jaundice.
Humans
;
Female
;
Pregnancy
;
Adult
;
Pregnancy Complications, Infectious/epidemiology*
;
Retrospective Studies
;
Pregnancy Outcome
;
Infant, Newborn
;
Viremia/virology*
;
Hepatitis C
;
Hepacivirus/physiology*
;
Hepatitis C, Chronic/virology*
;
Young Adult
;
Alanine Transaminase/blood*
10.Association of Longitudinal Change in Fasting Blood Glucose with Risk of Cerebral Infarction in a Patients with Diabetes.
Tai Yang LUO ; Xuan DENG ; Xue Yu CHEN ; Yu He LIU ; Shuo Hua CHEN ; Hao Ran SUN ; Zi Wei YIN ; Shou Ling WU ; Yong ZHOU ; Xing Dong ZHENG
Biomedical and Environmental Sciences 2025;38(8):926-934
OBJECTIVE:
To investigate the association between long-term glycemic control and cerebral infarction risk in patients with diabetes through a large-scale cohort study.
METHODS:
This prospective, community-based cohort study included 12,054 patients with diabetes. From 2006 to 2012, 38,272 fasting blood glucose (FBG) measurements were obtained from these participants. FBG trajectory patterns were generated using latent mixture modelling. Cox proportional hazards models were applied to assess the subsequent risk of cerebral infarction associated with different FBG trajectory patterns.
RESULTS:
At baseline, the mean age of the participants was 55.2 years. Four distinct FBG trajectories were identified based on FBG concentrations and their changes over the 6-year follow-up period. After a median follow-up of 6.9 years, 786 cerebral infarction events were recorded. Different trajectory patterns were associated with significantly varied outcome risks (Log-Rank P < 0.001). Compared with the low-stability group, Hazard Ratio ( HR) adjusted for potential confounders were 1.37 for the moderate-increasing group, 1.23 for the elevated-decreasing group, and 2.08 for the elevated-stable group.
CONCLUSION
Sustained high FBG levels were found to play a critical role in the development of ischemic stroke among patients with diabetes. Controlling FBG levels may reduce the risk of cerebral infarction.
Humans
;
Cerebral Infarction/blood*
;
Middle Aged
;
Male
;
Female
;
Blood Glucose/analysis*
;
Fasting/blood*
;
Aged
;
Prospective Studies
;
Risk Factors
;
Diabetes Mellitus/blood*
;
Adult
;
Proportional Hazards Models

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