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Numerous studies have investigated the associations between serum vitamin D or testosterone and diabetes; however, inconsistencies are observed. Whether there is an interaction between vitamin D and testosterone and whether the lipid profile (total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C)) mediates the association between vitamin D and diabetes is unclear. To investigate the effect of vitamin D and testosterone on impaired fasting glucose (IFG) or type 2 diabetes mellitus (T2DM), 2659 participants from the Henan Rural Cohort were included in the case-control study. Generalized linear models were utilized to estimate associations of vitamin D with IFG or T2DM and interactive effects of vitamin D and testosterone on IFG or T2DM. Principal component analysis (PCA) and mediation analysis were used to estimate whether the lipid profile mediated the association of vitamin D with IFG or T2DM. Serum 25(OH)D3, 25(OH)D2, and total 25(OH)D levels were negatively correlated with IFG (odds ratios (ORs) (95% confidence intervals (CIs)): 0.99 (0.97, 1.00), 0.85 (0.82, 0.88), and 0.97 (0.96, 0.98), respectively). Similarity results for associations between serum 25(OH)D2 and total 25(OH)D with T2DM (ORs (95%CIs): 0.84 (0.81, 0.88) and 0.97 (0.96, 0.99)) were observed, whereas serum 25(OH)D3 was negatively correlated to T2DM only in the quartile 2 (Q2) and Q3 groups (both p < 0.05). The lipid profile, mainly TC and TG, partly mediated the relationship between 25(OH)D2 or total 25(OH)D and IFG or T2DM and the proportion explained was from 2.74 to 17.46%. Furthermore, interactive effects of serum 25(OH)D2, total 25(OH)D, and testosterone on T2DM were observed in females (both p for interactive <0.05), implying that the positive association between serum testosterone and T2DM was vanished when 25(OH)D2 was higher than 10.04 ng/mL or total 25(OH)D was higher than 40.04 ng/mL. Therefore, ensuring adequate vitamin D levels could reduce the prevalence of IFG and T2DM, especially in females with high levels of testosterone. [ABSTRACT FROM AUTHOR]

• There is a positive correlation between isofenphos, isocarbophos levels with T2DM. • Isofenphos and isocarbophos significantly increased the risk of T2DM. • The association may be mediated by WBC and NE. To investigate the associations between isocarbophos and isofenphos with impaired fasting glucose (IFG) and type 2 diabetes mellitus (T2DM), and to assess the mediation roles of inflammation cells. There were 2701 participants in the case-control study, including 896 patients with T2DM, 900 patients with IFG, 905 subjects with NGT. Plasma isocarbophos and isofenphos concentrations were measured using gas chromatography and triple quadrupole tandem mass spectrometry. Generalized linear models were used to calculate the relationships between plasma isofenphos and isocarbophos levels with inflammatory factor levels and T2DM. Inflammatory cell was used as mediators to estimate the mediating effects on the above associations. Isocarbophos and isofenphos were positively related with T2DM after adjusting for other factors. The odds ratio (95% confidence interval) (OR (95%CI)) for T2DM was 1.041 (1.015, 1.068) and for IFG was 1.066 (1.009, 1.127) per unit rise in ln-isocarbophos. The prevalence of T2DM increased by 6.4% for every 1 unit more of ln-isofenphos (OR (95% CI): 1.064 (1.041, 1.087)). Additionally, a 100% rise in ln-isocarbophos was linked to 3.3% higher ln-HOMA2IR and a 0.029 mmol/L higher glycosylated hemoglobin (HbA1c) (95% CI: 0.007, 0.051). While a 100% rise in ln-isofenphos was linked to increase in ln-HOMA2 and ln-HOMA2IR of 5.8% and 3.4%, respectively. Furthermore, white blood cell (WBC) and neutrophilic (NE) were found to be mediators in the relationship between isocarbophos and T2DM, and the corresponding proportions were 17.12% and 17.67%, respectively. Isofenphos and isocarbophos are associated with IFG and T2DM in the rural Chinese population, WBC and NE have a significant role in this relationship. [Display omitted] [ABSTRACT FROM AUTHOR]

Background: The epidemiological evidence on the association of sleep quality on anxiety symptoms has been inconclusive. This study aimed to explore the association between sleep quality and anxiety symptoms in rural Chinese population and investigate whether age, lifestyles, and chronic diseases modified this association.Methods: A total of 27,911 participants aged 18-79 years from the Henan Rural Cohort Study were included in the study. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) scale. Poor sleep quality was defined as PSQI ≥6. Anxiety symptoms were evaluated with the two-item generalized anxiety disorder scale (GAD-2). Individual with score ≥ 3 was viewed as having anxiety symptoms. Logistic regression and restricted cubic spline were conducted to examine the association of sleep quality with anxiety symptoms.Results: Altogether, 6087 (21.80%) participants were poor sleepers and 1557 (5.58%) had anxiety symptoms. The odds of anxiety were increased with increment of PSQI score after fitting restricted cubic splines. The poor sleep quality was associated with a higher possibility of anxiety symptoms [odd ratio (OR): 4.60, 95% confidence interval (CI): 3.70-5.72] in men, and (OR: 3.56, 95% CI: 3.10-4.09) in women for multivariable analysis. Further, stratified analyses showed that the effect of sleep quality on anxiety symptoms could be modified by age, marital status, smoking status, drinking status, hypertension, and type 2 diabetes mellitus.Conclusions: A dose-response association between PSQI score and anxiety symptoms was found. In addition, the relationship between poor sleep quality and greater anxiety symptoms was observed in this rural population, especially in participants aged ≥60 years and those with unhealthy habits or had a chronic disease.Trial Registration: The trial was prospectively registered on July 6, 2015 and available online at ClinicalTrials.gov ID: ChiCTR-OOC-15006699 . [ABSTRACT FROM AUTHOR]

This study aims to investigate various types of location advantages that contribute to lodging property performance. Using monthly revenue data for individual urban hotels and Airbnb units in Houston, Texas from 2014 to 2016, we apply the Hausman-Taylor model to estimate the effects of location factors. Several factors are confirmed, including accessibility to points of interest, transport convenience, the surrounding environment, and market conditions. The overall effect of location advantage is more substantial for urban hotels than Airbnb units. Findings do not reveal a sizable competition effect between urban hotels and Airbnb units. Furthermore, we unveil factors associated with location advantages for different hotel classes and Airbnb types by estimating the model using different sub-samples. • We estimated the effects of location factors after controlling for other variables. • Factors include accessibility, transport convenience, and surrounding environment. • We do not reveal a sizable competition effect between hotels and Airbnb units. • Airbnb shared-house/room units can leverage their proximity to high-end hotels. [ABSTRACT FROM AUTHOR]

Background: Few studies are available on the relationship of androstenedione with inflammation and obesity and the effect of androstenedione and inflammation on the association between testosterone and obesity. This study intended to examine the mediation effect of inflammatory markers on the association of testosterone with obesity and the moderation effect of androstenedione on the association of testosterone with inflammation and obesity in Chinese rural men. Materials and methods: This cross‐sectional research enrolled 2536 male rural inhabitants from the Henan Rural Cohort study. The serum concentrations of testosterone and androstenedione were determined by liquid chromatography–tandem mass spectrometry. Linear and logistic regression were used to examine the relationships between testosterone, inflammatory markers, and obesity. Mediation and moderation analyses were carried out to evaluate the potential effects of inflammatory markers on the relationship between testosterone and obesity, as well as androstenedione on the relationships of testosterone with inflammation and obesity. Results: After adjusting for confounding factors, the results showed that testosterone and androstenedione were negatively related to obesity, and inflammatory markers were positively associated with obesity. Besides, testosterone and androstenedione were negatively associated with inflammatory markers. Mediation analysis showed that white blood cell, neutrophil, monocyte, and high‐sensitivity C‐reactive protein had mediating effects on the association between testosterone and obesity. The most vital mediator was high‐sensitivity C‐reactive protein, and its proportion of the effect was 11.02% (defined by waist circumference), 11.15% (defined by waist‐to‐hip ratio), 12.92% (defined by waist‐to‐height ratio), and full mediating effect (defined by body mass index). Moreover, androstenedione played negative moderation effects on the associations of testosterone with inflammation and obesity. Conclusion: Inflammatory markers and androstenedione were first found to have modifying effects on the association of testosterone with obesity. Higher levels of testosterone and androstenedione could reduce the inflammation level and risk of obesity, indicating their potential roles in the prevention and treatment of chronic diseases. [ABSTRACT FROM AUTHOR]

Objective: To assess the independent and combined effects of night sleep duration and sleep quality on depressive symptoms.Methods: A total of 28,202 participants (11,236 males and 16,966 females) aged 18-79 years from the Henan Rural Cohort were included in this study. Night sleep duration and sleep quality were defined by the Pittsburgh Sleep Quality Index (PSQI). Logistic regression and restricted cubic splines were applied to evaluate the association of night sleep duration and sleep quality with depressive symptoms.Results: A U-shaped dose-response relationship between night sleep duration and depressive symptoms along with a J-shaped relationship between sleep quality and depressive symptoms were observed. Compared with reference group (7-<8 h), shorter sleep duration (<6 h) and longer sleep duration (≥10 h) were associated with increased risk of depressive symptoms in males (short sleep: Odds Ratio (OR) = 1.84, 95% confidence interval (CI), 1.34-2.52; long sleep: OR = 1.56, 95% CI, 1.01-2.42) and females (short sleep: OR = 2.19, 95% CI, 1.77-2.70; long sleep: OR = 1.51, 95% CI, 1.10-2.10). Compared with good sleepers, poor sleepers had 4.23-fold (95% CI:3.54-5.06) and 3.87-fold (95% CI: 3.41-4.40) increased odds of depressive symptoms in males and females. Furthermore, participants with longer night sleep duration (≥10 h) and poorer sleep quality had the strongest effect on depressive symptoms (males: OR = 6.64, 95% CI, 3.21-13.74; females: OR = 7.76, 95% CI, 5.00-12.02).Conclusions: Extreme night sleep duration and poor sleep quality were independently and combinedly related to elevated depressive symptoms, suggesting that keeping optimal night sleep duration and good sleep quality maybe benefit for maintaining mental health.Trial Registration: Chinese Clinical Trial Register. Registration number: ChiCTR-OOC-15006699. [ABSTRACT FROM AUTHOR]

In this study 3307 samples of 24 vegetables and fruits from 18 regions of Henan Province, China, were collected in 2021 with the aim of assessing the levels of pesticide residues and analysing the differences between different sources in Henan Province. Thirteen kinds of pesticides were analysed by gas chromatography-mass spectrometry (GC-MS) and detection rates were compared by the chi-square test. In all samples, except ginger, pimento, edible fungi and yam, pesticide residues were detected. The detection rates of difenoconazole, acetamiprid, carbendazim, procymidone, emamectin benzoate, lambda-cyhalothrin, cypermethrin and dimethomorph in supermarkets and traditional farmers' markets were different. The difenoconazole group and the dimethomorph group were both statistically different (P < 0.05). This study showed common vegetables and fruits to contain pesticide residues in Henan Province and provided a scientific basis for their evaluation. Different sources take different regulatory measures to control pesticide residues to ensure food safety. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to evaluate the recent prevalence and the distributions of morphological subtypes of anaemia in the rural population. Design: Anaemia was defined according to the WHO and the Chinese criteria, and the morphological subtypes of anaemia were classified based on the erythrocyte parameters. The age-standardised prevalence was calculated according to the data of the Population Census 2010 in China. Setting: A cross-sectional study in Henan Province. Participants: 33 585 subjects aged 18–79 years old. Results: The standardised prevalence of anaemia across the WHO and the Chinese definitions was 13·63 % and 5·45 %, respectively. Regardless of which criteria was used, the standardised prevalence of anaemia was higher among women than among men and that increased with age in men, while markedly decreased after menopause in women. There were shifts in morphological patterns of anaemia using the WHO and the Chinese criteria that the standardised prevalence of microcytic anaemia was 3·74 % and 2·97 %, normocytic anaemia was 9·20 % and 2·34 %, and macrocytic anaemia was 0·75 % and 0·14 %, respectively. Besides, there were differences in the influencing factors of anaemia according to different criteria or gender. However, age, education level and renal damage were consistently significantly associated with anaemia in all participants. Conclusions: Anaemia may still be a serious health problem in rural China. It is necessary to reformulate prevention and management strategies to reduce the disease burden of anaemia. [ABSTRACT FROM AUTHOR]

Background: Limited studies have focused on the risk assessment of stroke in rural regions. Moreover, the application of artificial intelligence in stroke risk scoring system is still insufficient. This study aims to develop a simplified and visualized risk score with good performance and convenience for rural stroke risk assessment, which is combined with a machine learning (ML) algorithm. Methods: Participants of the Henan Rural Cohort were enrolled in this study. The total participants (n = 38,322) were randomly split into a train set and a test set in the ratio of 7:3. An ML algorithm was used to select variables and the logistic regression was then applied to construct the scoring system. The C-statistic and the Brier score (BS) were used to evaluate the discrimination and calibration. The Framingham stroke risk profile (FSRP) and the self-reported stroke risk function (SRSRF) were chosen to be compared. Results: The Rural Stroke Risk Score (RSRS) was produced in this study, including age, drinking status, triglyceride, type 2 diabetes mellitus, hypertension, waist circumference, and family history of stroke. On validation, the C-statistic was 0.757 (95% CI 0.749–0.765) and the BS was 0.058 in the test set. In addition, the discrimination of RSRS was 6.02% and 7.34% higher than that of the FSRP and SRSRF, respectively. Conclusions: A well-performed scoring system for assessing stroke risk in rural residents was developed in this study. This risk score would facilitate stroke screening and the prevention of cardiovascular disease in economically underdeveloped areas. [ABSTRACT FROM AUTHOR]

It is worth paying attention to the level of worry and fear of students during the normalization of the epidemic. We conducted the cross‐sectional study that included 182,991 high school students using an online survey to assess worry and fear levels and its influencing factors in three cities in Henan Province, China, from May 21 to May 27, 2021. Worry and fear levels were measured using a five‐item Likert‐type scale. Multinomial logistic regression was used to analyze the risk factors. Approximately 65.42% of students reported being high worry about the coronavirus disease 2019 (COVID‐19) epidemic, and about 41.44% of students reported being high fear about the COVID‐19 epidemic. In addition, compared with female, male had lower odds of suffering from a high worry, and compared with senior high school students, junior high school students were more likely to suffer from a high worry. Students lived in rural had highest odds increased likelihood of high worry. Similar results in fear levels. During the normalization period of the COVID‐19 epidemic, many students have high levels of worry and fear. This study has implications for potential influencers of worry and fear levels in follow‐up work. Practitioner Points: Approximately 65.42% of students reported being high worry about the coronavirus disease 2019 (COVID‐19) epidemic, and about 41.44% of students reported being high fear about the COVID‐19 epidemic.Students lived in rural had highest odds increased likelihood of high level of worry and fear.Compared with senior high school students, junior high school students were more likely to suffer from a high worry. [ABSTRACT FROM AUTHOR]

Sex hormones have been shown to be negatively associated with hypertension, but the relationship between serum progesterone levels and hypertension has not been adequately studied. Therefore, we aimed to evaluate the association between progesterone and hypertension among Chinese rural adults. A total of 6222 participants were recruited, which included 2577 men and 3645 women. The concentration of serum progesterone was detected by liquid chromatography-mass spectrometer system (LC-MS/MS). Logistic regression and linear regression were used to assess the associations between progesterone levels and hypertension and blood pressure related indicators, respectively. Constrained splines were used to fit the dose-response relationships of progesterone with hypertension and blood pressure related indicators. Moreover, the interactive effects of several lifestyle factors and progesterone were identified by a generalized linear model. After fully adjusting the variables, progesterone levels were inversely associated with hypertension in men [odds ratio (OR): 0.851, 95% confidence interval (CI): 0.752, 0.964]. Among men, a 2.738 ng/ml increase in progesterone was associated with a 0.557 mmHg decrease in diastolic blood pressure (DBP) (95% CI: –1.007, –0.107) and a 0.541 mmHg decrease in mean arterial pressure (MAP) (95% CI: –1.049, –0.034), respectively. Similar results were observed in postmenopausal women. Interactive effect analysis showed that only a significant interaction was observed between progesterone and educational attainment on hypertension in premenopausal women (p=0.024). Elevated levels of serum progesterone were associated with hypertension in men. Except for premenopausal women, a negative association of progesterone with blood pressure related indicators was observed. [ABSTRACT FROM AUTHOR]

Background: This study aimed to estimate healthy life expectancy (HLE) regarding anxiety, depression and their comorbidity among rural older adults.Methods: A total of 12,851 subjects (5790 men and 7061 women) enrolled from the Henan Rural Cohort Study were used to evaluate healthy status expectancy (HSE), and 10,096 (4475 men and 5621 women) of them were used to estimate health-adjusted life expectancy (HALE). The life expectancy was calculated using period life table, and HSE and HALE indicators were calculated via the Sullivan method.Results: For participants aged 60, the depression-free life expectancy (DFLE), anxiety-free life expectancy (AFLE), and depression- and anxiety-free life expectancy (DAFLE) were 23.0993, 23.3314, and 22.7206 years, respectively. The quality-adjusted life expectancy (QALE) of those with neither anxiety nor depression, with anxiety, with depression, and with comorbidity was 22.0727, 20.8751, 18.1484, and 17.0823 years, respectively. The ratio of DFLE (AFLE) to LE increased with age among both genders, while the DAFLE/LE showed a decreasing trend. Regardless of HSE or HALE indicators, women tended to have higher HLE, while HLE/LE was lower than men. Furthermore, all HLE indicators associated with anxiety were the largest in both genders compared to indicators regarding depression.Limitations: The HLE may be overestimated ignoring institutional population in the study.Conclusion: Anxiety and depression played essential roles in the quality of life among rural older adults, especially depression. Comorbidity would intensify the adverse effect in rural areas, especially for older men. More attention should be paid to the psychological problems among rural older population. [ABSTRACT FROM AUTHOR]

This study aimed to evaluate the relationships of separate and mixed exposure of neonicotinoids on cardiometabolic risk at baseline and follow-up and its change over 3 years, and further explore whether inflammatory markers levels and platelet traits (PLT) mediate these relationships. In this prospective cohort study from the Henan Rural Cohort Study, 2315 participants were involved at baseline, and 1841 participants completed cardiometabolic risk predictors determinations during the 3-year follow-up. Each neonicotinoid pesticide was normalized to imidacloprid (IMI eq) using the relative potency factor approach. Quantile-based g-computation (Qgcomp) regression was used to evaluate the effect of the mixtures of neonicotinoids mediation analysis was employed to explore whether inflammatory markers levels and platelet traits mediated these relationships. A two-sample mendelian randomization (MR) study was further used to causal association. Qgcomp regression revealed a statistically positive relationship between neonicotinoids mixture exposure and cardiometabolic risk score at baseline and follow-up over 3 years. Both neutrophils/monocytes and PLT were mediators in the relationship between IMI eq and cardiometabolic risk score at baseline and follow-up over 3 years. The causal risk effect of pesticide exposure were 2.50 (0.05, 4.95) and 5.24 (1.28, 9.19) for cardiometabolic risk indicators including insulin resistance and triglyceride, respectively. Nevertheless, there was no correlation discovered between pesticide exposure and other markers of cardiometabolic risk. Neonicotinoid insecticides exposure was connected to an increased cardiometabolic risk, especially in individuals with T2DM. Furthermore, inflammatory markers and PLT seem to be two vital mediators of these associations. Additionally, genetic evidence on pesticide exposure and cardiometabolic risk still needs to be validated by multiregional and multiethnic GWAS studies. [Display omitted] • Neonicotinoids exposure was connected to an increased cardiometabolic risk. • Relations of neonicotinoids mixture exposure with cardiometabolic risk were linear. • High neonicotinoids exposure in type 2 diabetes mellitus amplifies cardiometabolic risk. • Inflammation markers and platelet count seemed to be two vital mediators of this association. [ABSTRACT FROM AUTHOR]

Objective: Food-away-from-home (FAFH) is one of the leading dietary patterns in Chinese families. However, the relationship between FAFH and dyslipidemia remains unclear, especially in the rural adult population. This study explored the relationship of FAFH frequency with serum lipid levels and dyslipidemia in rural Chinese adults. Methods: A total of 12,002 men and 17,477 women aged 18–79 were included from the Henan rural cohort. Serum lipid levels were measured by enzyme colorimetry. Information on FAFH frequency was collected using a validated questionnaire. The associations of FAFH frequency and serum lipid levels were assessed through multiple linear regression modeling. Logistic regression was performed to explore the linkages of the FAFH frequency to dyslipidemia and its four parameter types. Mediation analysis examined whether body mass index (BMI) acted as a mediator between the FAFH frequency and dyslipidemia. Results: After adjusting for potential confounders, the adjusted odds ratio (OR) and 95% confidence interval (CI) of the groups with 8–11 FAFH times/week for dyslipidemia were 1.991 (1.569, 2.526) in men compared with 0-frequency subgroup. Participants who consumed 8–11 FAFH times/week had a higher risk of high total cholesterol (TC), high triglycerides (TG), high LDL-cholesterol (LDL-C), and low HDL-cholesterol (HDL-C) with the OR and 95% CI of 1.928 (1.247, 2.980), 1.723 (1.321, 2.247), 1.875 (1.215, 2.893), and 1.513 (1.168, 1.959), respectively. In addition, the interaction effect between FAFH and gender was significantly associated with dyslipidemia and lipid levels (P < 0.001). BMI played a fully mediating effect between FAFH frequency and dyslipidemia in men, and the Sobel test showed the significance of the mediating effect (z = 4.2158, P < 0.001). Conclusion: In rural Chinese adults, FAFH was significantly associated with a higher risk of dyslipidemia, which indicated the importance of FAFH reduction and dietary intervention in patients with dyslipidemia and cardiovascular disease, especially in clinical practice. Trial Registration: The Henan Rural Cohort Study has been registered on the Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15,006,699). [ABSTRACT FROM AUTHOR]

Background and Purpose: Limited research focused on the association between household air pollution (HAP) and health-related quality of life (HRQoL). This study aimed to investigate the association of HAP with HRQoL and the effect modification of physical activity.Method: A total of 16,761 eligible participants were derived from the Henan Rural Cohort Study. Based on structured questionnaires, HAP was assessed by fuel type, cooking duration and kitchen ventilation; HRQoL was measured with utility index and VAS score from the European Quality of Life Five Dimension Five Level Scale (EQ-5D-5L); physical activity was assessed by the International Physical Activity Questionnaire. Generalized linear models and tobit regression models were utilized to explore the relationship of HAP with HRQoL. Further sensitivity analyses were conducted using structural equation models.Results: Compared with those who cooked with clean fuels, short-duration, or good kitchen ventilation, participants who cooked with solid fuels, long-duration, and poor ventilation had lower utility index and VAS score (All P < 0.001). The decrease in utility index for solid fuel users vs. clean fuel users were 0.06 [95%confidence interval (CI) 003, 0.08], 0.03 (95%CI 0.01, 0.04) and 0.02 (95%CI 0.01, 0.04) in low, moderate and high physical activity group, respectively, which decreased with physical activity levels (Pfor interaction < 0.05). Similar results were observed in associations of kitchen ventilation with utility index and VAS score.Conclusion: HAP negatively associated with HRQoL in rural population, and potential intervention aimed at maintaining adequate physical activity.Trail Registration: The Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). Date of registration: 06 July, 2015. http://www.chictr.org.cn/showproj.aspx?proj=11375 . [ABSTRACT FROM AUTHOR]

Increasing evidence suggested that the expression and inter-regulation of long noncoding RNA (lncRNA), microRNA (miRNA), and messenger RNA (mRNA) were related to the development of diabetes. Based on bioinformatics analysis, this study aimed to comprehensively analyze the dysregulated RNA molecules related to new-onset type 2 diabetes mellitus (T2DM). Twenty-four patients with new-onset T2DM were included as cases, and sex- and age-matched participants were included as controls. The differentially expressed lncRNAs, miRNAs, and mRNAs between the two groups were screened by RNA sequencing. LncRNA-miRNA-mRNA network and enrichment analysis were used to reveal the RNA molecules that were potentially associated with T2DM and their early changes. A total of 123 lncRNAs, 49 miRNAs, and 312 mRNAs were differentially expressed in the new-onset T2DM (fold change ≥ 1.5 and p value < 0.05). Functional analysis revealed that differentially expressed RNAs were likely to play essential roles in diabetes-related pathways. In addition, the protein–protein interaction (PPI) network screened multiple hub mRNAs, and lncRNA-miRNA-mRNA networks showed that a single miRNA could be related to multiple lncRNAs, and then they coregulated more mRNAs. SLC25A4, PLCB1, AGTR2, PRKN, and SCD5 were shown to be important mRNAs in T2DM, and miR-199b-5p, miR-202-5p, miR-548o-3p as well as miR-1255b-5p could be involved in their regulation. In conclusion, several new and previously identified dysregulated lncRNAs, miRNAs, and mRNAs were found to be vital biomarkers in T2DM. Their alterations and interactions could modulate the pathophysiology of T2DM. Those findings may provide new insights into the molecular mechanisms underlying the development of T2DM. [ABSTRACT FROM AUTHOR]

Purpose: A significant shift in meal pattern with frequent eating out was closely associated with multiple chronic outcomes, but with limited evidence on hyperuricemia. We aimed to explore the associations between eating out and serum uric acid (SUA) as well as hyperuricemia. Methods: A total of 29,597 participants were recruited from the Henan Rural Cohort Study. A validated food frequency questionnaire (FFQ) was used to collect dietary data, including the frequency of eating out. Linear regression models were used to examine the association of eating-out frequency with SUA and BMI. Logistic regression and restricted cubic spline were performed to assess the association and dose–response relationship between eating-out frequency and hyperuricemia. The mediation effect of BMI between eating out and the risk of hyperuricemia was evaluated. Results: Eating out was significantly associated with higher SUA levels in the total population and males (P < 0.001). Multivariate-adjusted odds ratios (ORs) with 95% confidence interval (CIs) of hyperuricemia were 1.26 (1.09, 1.46) for the total population and 1.18 (1.00, 1.40) for males (≥ 7 times/week vs 0 time/week). A non-linear positive dose–response relationship between eating-out frequency and hyperuricemia was observed. Furthermore, BMI played a partial mediating role in the relationship between eating out frequency and hyperuricemia, which explained 30.7% in the total population and 44.8% in males. Conclusion: Our findings indicated that eating out was associated with increased SUA levels and elevated hyperuricemia risk in rural China, especially in males. Moreover, the relationship was partly mediated by BMI. Clinical trials: ChiCTR-OOC-15006699 (2015-07-06). [ABSTRACT FROM AUTHOR]

We aimed to evaluate the effects of serum testosterone, obesity and their interaction on blood pressure (BP) parameters and hypertension among Chinese rural adults. A total of 6199 adults were recruited from the Henan Rural Cohort Study. Serum testosterone was measured by liquid chromatography-tandem mass spectrometry. Logistic regression and linear regression were used to evaluate the association between testosterone, hypertension and BP parameters (including systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), and mean arterial pressure (MAP)). A generalized linear model was performed to identify the interactive effects of testosterone and obesity on hypertension. High levels of serum testosterone were associated with a lower prevalence of hypertension in males (odds ratio (OR): 0.69, 95% confidence interval (CI): 0.53, 0.89). After stratification by obesity, observed associations were only found in non-obese males. Each one-unit increase in ln-testosterone was associated with a 1.23 mmHg decrease in SBP, 0.97 mmHg decrease in DBP, and 1.05 mmHg decrease in MAP among males. Moreover, interactive effects between testosterone and obesity on hypertension and BP parameters were found, indicating that protective effects of serum testosterone on hypertension and BP parameters were counteracted and accompanied by increased values of obesity-related indicators in males, and additional testosterone increased BP parameters and prevalence of hypertension at high levels of waist-to-hip ratio and waist-to-height ratio in females. Elevated levels of serum testosterone were associated with decreased BP parameters and prevalent hypertension in males, and obesity modifying effects of serum testosterone on BP parameters and hypertension. [Display omitted] • Serum testosterone was negatively associated with hypertension in males. • Obesity modified the effects of testosterone onhypertension in males and females. [ABSTRACT FROM AUTHOR]

Although several single lifestyles have been reported to meliorate serum lipid levels, there is little evidence of the relationship between multiple healthy lifestyles and lipid levels in Chinese adults. Cross-sectional data of 35,150 participants aged 18-79 years without dyslipidemia at baseline in the Henan Rural Cohort were collected from 2015 to 2017, to investigate the associations between individual and combinations of 6 healthy lifestyle factors and lipid levels. In multivariate linear regression analyses, non-current smoking, non-current alcohol consumption, regular physical exercise, healthy diet, lower body mass index, and lower waist-to-hip ratio were significantly associated with lower concentration of total cholesterol (TC), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-C) and higher concentrations of high-density lipoprotein cholesterol (HDL-C) (all P < .001). There were positive quantitative correlations between the number of healthy lifestyle factors and the low levels of lipids (all P for linear trend <0.001). People with 6 healthy lifestyle factors had 0.72-mmol/L (95% confidence interval [CI]: 0.64 to 0.81) lower TC, 1.02-mmol/L (95% CI: 0.93 to 1.11) lower TG, 0.54-mmol/L (95% CI: 0.47 to 0.61) lower LDL-C, and 0.32-mmol/L (95% CI: 0.29 to 0.34) higher HDL-C, than people who had 0-1 healthy lifestyle factors. In this study, we found an association between an increased number of healthy lifestyle factors and better serum lipid profiles. The causality and temporality between maintenance of a healthy lifestyle and optimal lipid levels merit further investigations. [ABSTRACT FROM AUTHOR]

Background: Depression is one of the most prevalent mental health challenges that affect all groups of persons. This study examines the association between type 2 diabetes and depressive symptoms (using PHQ-2) in a rural population. Other risk factors of depressive symptoms are examined.Methods: Data from 30,001 participants from the Henan rural cohort was analyzed. Multivariable logistic regression analyses were performed to examine the associations between depressive symptoms (DS) and type 2 diabetes and other risk factors. Adjusted odds ratios (aOR) with confidence intervals (CI) at 95% are reported.Results: The prevalence of DS in the study population is 5.86%, 6.69% in women, 4.74% in men, 5.80% in persons without diabetes and 6.81% in persons with diabetes (diagnosed and undiagnosed). DS prevalence was highest in persons with previously diagnosed diabetes (8.27%). No association was found between DS and diabetes (aOR = 0.95, CI at 95% 0.61-1.48; p=0.836). DS was associated with poor glycemic control (aOR=1.43, CI at 95% 1.04- 1.98; p= 0.034) in persons with previously diagnosed diabetes, persons with elevated triglycerides (aOR=1.19, CI at 95% 1.08-1.30; p<0.001), household income (aOR= 0.78, CI at 95% 0.63-0.97; p=0.027), marital status (aOR=1.37, CI at 95% 1.01-1.88, p=0.049) and hypertension treatment with medication (aOR=1.94, CI at 95% 1.48-2.55; p<0.001).Limitations: DS was assessed through self-report and may suffer recall or information bias.Conclusions: DS was not associated with diabetes in our study population. The association between poor glycemic control and DS calls for the integration of screening for depression among patients with diabetes. [ABSTRACT FROM AUTHOR]

Background and Objectives: The aim of the study was to explore the association between dietary patterns and lipid levels in Henan rural area.Methods and Study Design: Fasting blood samples, information on dietary intakes (with food frequency questionnaires) and other data were collected from the Henan Rural Cohort Study. Principal component analysis was used to identify the dietary patterns. Binary logistic regression and restricted cubic spline regression models were performed to obtain odds ratios (ORs) and 95% confidence intervals (95%CI). The study recruited 38,983 available participants aged from 18 to 79 from rural areas in Henan province.Results: The study showed that, three patterns were identified by higher factor loadings: namely the "meat" (high intakes of red meat, white meat and fish), "grain-egg-nut complex" (high intakes of nuts, milk, eggs, grains and beans), and "vegetablesstaple food-fruits" pattern (high intakes of vegetables, staple food and fruits). "Grain-egg-nut complex" pattern was significantly positively related to the risk of dyslipidemia (OR: 1.10; 95% CI: 1.05-1.16, p<0.05). The multivariable- adjusted ORs across tertiles of each dietary pattern were significantly associated with each component of dyslipidemia indexes.Conclusions: Grain-egg-nut complex dietary pattern was positively associated with dyslipidemia. All three dietary patterns were associated with blood lipid profiles aberrations. [ABSTRACT FROM AUTHOR]

Parabens, a widely exposed environmental endocrine disruptor, were reported to disturb glucose metabolism through various pathways in animal models, but epidemiologic studies are limited. Therefore, this study aimed to investigate the plasma parabens level in rural populations and their effects of single and mixed paraben exposure on T2DM based on the Henan Rural Cohort. A total of 1713 participants (880 T2DM and 833 controls) from the Henan Rural Cohort Study were included in this case-control study. Generalized linear regression models were performed to assess the single and joint effects of parabens on T2DM and glucose metabolism indicators. In addition, the dose-response relationship of plasma parabens with T2DM and glucose metabolism indicators were explored by the restricted cubic splines. Bayesian kernel machine regression (BKMR) and quantile g-computation models were utilized to assess overall associations of paraben mixtures with T2DM and glucose metabolism indicators. Σparabens and methylparaben (MeP) exposure significantly increased the risk of T2DM (P < 0.01). However, ethylparaben (EtP) and butylparaben (BuP) were negatively related to T2DM (P < 0.01). Notably, non-linear relationships of EtP and BuP with T2DM were observed. When the level of EtP or BuP was above the inflection point observed in dose-response curve, the ORs and 95% CIs were 1.453 (1.252, 1.686) and 1.982 (1.444, 2.721), respectively. Moreover, the result of quantile g-computation also showed that exposure to high concentration of parabens mixture was positively related to the risk of T2DM. BKMR model indicated that parabens mixture was associated with glycometabolism following a U-shape and parabens mixture increased the risk of dysglycemia when all parabens concentrations were at or above their 55th percentile compared with the median. MeP or paraben mixture exposure levels showed a linear positive association with risk of T2DM. EtP and BuP were nonlinearly associated with glucose metabolism and moderate-high exposure contributed to T2DM. [Display omitted] • Various models were used to evaluate effects of parabens' single and mixed exposure. • Methylparaben and parabens mixture exposure may increase the risk of dysglycemia. • Ethylparaben and Butylparaben were nonlinearly associated with type 2 diabetes mellitus. [ABSTRACT FROM AUTHOR]

Previous studies indicated the beneficial influence of residential greenness on cardiovascular disease (CVD), however, the association of residential greenness with cardiac conduction performance remains unclear. This study aims to examine the epidemiological associations between residential greenness and cardiac conduction abnormalities in rural residents, simultaneously exploring the role of residential greenness for cardiac health in an explainable machine learning modeling study. A total of 27,294 participants were derived from the Henan Rural Cohort. Two satellite-based indices, the normalized difference vegetation index (NDVI) and the enhanced vegetation index (EVI), were used to estimate residential greenness. Independent and combined associations of residential greenness indices and physical activities with electrocardiogram (ECG) parameter abnormalities were evaluated using the logistic regression model and generalized linear model. The Gradient Boosting Machine (GBM) and the SHapely Additive exPlanations (SHAP) were employed in the modeling study. The odds ratios (OR) and 95% confidence interval (CI) for QRS interval, heart rate (HR), QTc interval, and PR interval abnormalities with per interquartile range in NDVI were 0.896 (0.873–0.920), 0.955 (0.926–0.986), 1.015 (0.984–1.047), and 0.986 (0.929–1.045), respectively. Furthermore, the participants with higher physical activities plus residential greenness (assessed by EVI) were related to a 1.049-fold (1.017–1.081) and 1.298-fold (1.245–1.354) decreased risk for abnormal QRS interval and HR. Similar results were also observed in the sensitivity analysis. The NDVI ranked fifth (SHAP mean value 0.116) in the analysis for QRS interval abnormality risk in the modeling study. A higher level of residential greenness was significantly associated with cardiac conduction abnormalities. This effect might be strengthened in residents with more physical activities. This study indicated the cruciality of environmental greenness to cardiac functions and also contributed to refining preventive medicine and greenness design strategies. [Display omitted] • Residential greenness was negatively associated with cardiac health risk among rural Chinese. • Higher level of physical activities strengthened the beneficial effect of residential greenness. • Residential greenness was verified to be crucial for cardiac health via SHAP. [ABSTRACT FROM AUTHOR]

The epidemiological evidence of human exposure to organophosphorus pesticides (OPPs) with type 2 diabetes mellitus (T2DM) and prediabetes (PDM) is scarce. We aimed to examine the association of T2DM/PDM risk with single OPP exposure and multi-OPP co-exposure. Plasma levels of ten OPPs were measured using the gas chromatography-triple quadrupole mass spectrometry (GC-MS/MS) among 2734 subjects from the Henan Rural Cohort Study. We used generalized linear regression to estimate odds ratios (OR s) or β with 95% confidence intervals (CI s), and constructed quantile g-computation and Bayesian kernel machine regression (BKMR) models to investigate the association of OPPs mixture with the risk of T2DM and PDM. High detection rates ranged from 76.35% (isazophos) to 99.17% (malathion and methidathion) for all OPPs. Several plasma OPPs concentrations were in positive correlation with T2DM and PDM. Additionally, positive associations of several OPPs with fasting plasma glucose (FPG) values and glycosylated hemoglobin (HbA1c) levels were observed. In the quantile g-computation, we identified significantly positive associations between OPPs mixtures and T2DM as well as PDM, and fenthion had the greatest contribution for T2DM, followed by fenitrothion and cadusafos. As for PDM, the increased risk was largely explained by cadusafos, fenthion, and malathion. Furthermore, BKMR models suggested that co-exposure to OPPs was linked to an increased risk of T2DM and PDM. Our findings suggested that the individual and mixture of OPPs exposure were associated with an increased risk of T2DM and PDM, implying that OPPs might act an important role in the development of T2DM. [Display omitted] • OPPs mixtures were positively associated with the risk of T2DM and PDM among Chinese population. • We utilized the quantile g-computation and BKMR models to analyze the joint effects of co-exposure OPPs mixtures. • Main contributors included fenthion, fenitrothion, cadusafos, and malathion. • Several OPPs were significantly associated with elevated FPG and HbA1c levels. [ABSTRACT FROM AUTHOR]

• High cortisol/testosterone ratios were associated with coronary heart disease. • Poor sleep quality was associated with increased risk of coronary heart disease. • Cortisol/testosterone ratio and sleep quality affect coronary heart disease jointly. There were limited studies that have probed into the combined effect of the cortisol/testosterone (C/T) ratio as a biomarker of stress and Pittsburgh Sleep Quality Index (PSQI) on coronary heart disease (CHD). This research aimed to explore the association of C/T ratio and PSQI with the risk of CHD in a rural Chinese population, as well as the interaction and combined effect between C/T ratio and PSQI on CHD. A case-control study was performed including 307 individuals without CHD and 307 patients drawn from Henan Rural Cohort. Logistic regression was utilized to survey the independent and joint effects of the C/T ratio and PSQI on CHD. To estimate the interaction impact of the C/T ratio and sleep quality (PSQI) on CHD, a cross-product term was introduced in the generalized linear model. Higher C/T ratio and PSQI index scores are related to increased odds ratio for CHD (Odds ratios (ORs) and 95 % confidence interval (CI) were 1.17 (1.07, 1.29), p- trend < 0.001; 1.16 (1.09, 1.22), respectively). The odds ratio of C/T ratio for CHD increased with increasing PSQI in women (p interaction = 0.018) and total population (p interaction = 0.033). The combined group of high C/T ratio and high PSQI had the highest risk of CHD (Total: OR = 7.53, 95 % CI: 4.12–13.76). The risk of CHD was associated with low testosterone levels, high C/T ratios, and high PSQI scores. Additionally, poor sleep quality aggravated the effect of high C/T ratio on coronary heart disease. [ABSTRACT FROM AUTHOR]

[Display omitted] • Exposure to high ozone levels was related to shortened TL and decreased mtDNA-CN. • Residential greenness exposure was positively associated with TL and mtDNA-CN. • Residential greenness attenuated the adverse effect of ozone on TL and mtDNA-CN. Both ambient ozone exposure and residential greenness are linked to the aging process. However, their interactive effect on molecular biomarkers of aging (telomere length (TL) and mitochondrial DNA copy number (mtDNA-CN)) remains unclear. This study was conducted among 6418 rural Chinese adults. The concentration of ambient ozone was assessed using a random forest model. Residential greenness was represented by the normalized difference vegetation index (NDVI). Molecular biomarkers of aging (relative TL and relative mtDNA-CN) were determined by quantitative real-time polymerase chain reaction. Generalized linear regression models were applied to investigate the independent and combined effects of ambient ozone and residential greenness on relative TL and relative mtDNA-CN. The estimated percent changes and 95 % confidence intervals (CIs) of relative TL in response to per-unit increase in ambient ozone were –22.43 % (–23.74 %, −21.18 %), −14.19 % (−15.63 %, −12.72 %) and −4.50 % (−6.57 %, −2.27 %) for participants with low (NDVI ≤ 0.53), moderate (0.54–0.55) and high (≥0.56) residential greenness exposure, respectively, while the corresponding figures of relative mtDNA-CN were −12.63 % (−13.84 %, −11.31 %), −9.52 % (−10.60 %, −8.33 %) and 2.12 % (0.20 %, 4.19 %). Furthermore, negative interactive effects between ambient ozone and residential greenness exposure on molecular biomarkers of aging were observed (P for interaction < 0.001 for relative TL, and 0.098 for relative mtDNA-CN). Long-term exposure to high concentrations of ambient ozone and low residential greenness was associated with decreased mtDNA-CN and shortened TL. The adverse effect of ambient ozone exposure on molecular biomarkers of aging may be attenuated by increased residential greenness. [ABSTRACT FROM AUTHOR]

Background: Identifying groups at high risk of coronary heart disease (CHD) is important to reduce mortality due to CHD. Although machine learning methods have been introduced, many require laboratory or imaging parameters, which are not always readily available; thus, their wide applications are limited.Objective: The aim of this study was to develop and validate a simple, efficient, and joint machine learning model for identifying individuals at high risk of CHD using easily obtainable nonlaboratory parameters.Methods: This prospective study used data from the Henan Rural Cohort Study, which was conducted in rural areas of Henan Province, China, between July 2015 and September 2017. A joint machine learning model was developed by selecting and combining four base machine learning algorithms, including logistic regression (LR), artificial neural network (ANN), random forest (RF), and gradient boosting machine (GBM). We used readily accessible variables, including demographics, medical and family history, lifestyle and dietary factors, and anthropometric data, to inform the model. The model was also externally validated by a cohort of individuals from the Dongfeng-Tongji cohort study. Model discrimination was assessed by using the area under the receiver operating characteristic curve (AUC), and calibration was measured by using the Brier score (BS).Results: A total of 38 716 participants (mean [SD] age, 55.64[12.19] years; 23449[60.6%] female) from the Henan Rural Cohort Study and 17 958 subjects (mean [SD] age, 62.74 [7.59] years; 10,076 [56.1%] female) from the Dongfeng-Tongji cohort study were included in the analysis. Age, waist circumference, pulse pressure, heart rate, family history of CHD, education level, family history of type 2 diabetes mellitus (T2DM), and family history of dyslipidaemia were strongly associated with the development of CHD. In regard to internal validation, the model we built demonstrated good discrimination (AUC, 0.844 (95% CI 0.828-0.860)) and had acceptable calibration (BS, 0. 066). In regard to external validation, the model performed well with clearly useful discrimination (AUC, 0.792 (95% CI 0.774-0.810)) and robust calibration (BS, 0.069).Conclusions: In this study, the novel and simple, machine learning-based model comprising readily accessible variables accurately identified individuals at high risk of CHD. This model has the potential to be widely applied for large-scale screening of CHD populations, especially in medical resource-constrained settings.Trial Registration: The Henan Rural Cohort Study has been registered at the Chinese Clinical Trial Register. (Trial registration: ChiCTR-OOC-15006699. Registered 6 July 2015 - Retrospectively registered) http://www.chictr.org.cn/showproj.aspx?proj=11375. [ABSTRACT FROM AUTHOR]

• Air pollutants were positively associated with 10-year ASCVD risk in rural regions. • Negative association of physical activity with 10-year ASCVD risk was found. • Physical activity may be an effective method to reduce 10-year ASCVD risk. Although long-term exposure to air pollution and physical inactivity are linked to increased risk for atherosclerotic cardiovascular diseases (ASCVD), however, the interactive effect of air pollution and physical activity (PA) on high 10-year ASCVD risk is largely unknown. A total of 31,162 individuals aged 35–74 years were derived from the Henan Rural Cohort Study, after individuals with personal histories of ASCVD or missing data on predictors of high 10-year ASCVD risk were excluded. Concentrations of air pollutants (nitrogen dioxide (NO 2), particulate matter with an aerodynamics diameters ≤ 1.0 µm (PM 1), ≤2.5 µm (PM 2.5) or ≤10 µm (PM 10)) of individuals were estimated using a spatiotemporal model based on satellites data. The metabolic equivalent (MET) of PA of each individual was evaluated using the formula: duration (hour/time) × frequency/week × MET coefficient of each type of activity. Logistic regression models were used to analyze associations between air pollutants, PA and high 10-year ASCVD risk. Interaction plots were used to describe interactive effects of air pollutants and PA on high 10-year ASCVD risk. Each 1 µg/m3 increase in PM 1 , PM 2.5 , PM 10 and NO 2 were related to a 4.4% (odds ratio (OR): 1.044, 95% confidence interval (CI): 1.034, 1.056), 9.1% (OR: 1.091, 95% CI: 1.079, 1.104), 4.6% (OR: 1.046, 95% CI: 1.040, 1.051) or 6.4% (OR: 1.064, 95% CI: 1.055, 1.072) increase in high 10-year ASCVD risk (all p < 0.001), respectively; each one unit-increase in PA MET (hour/day) value was related to a 1.8% (OR: 0.982, 95% CI: 0.980, 0.985) decrease in high 10-year ASCVD risk. Negative interactive effects of PA and PM 1 , PM 2.5 , PM 10 and NO 2 on high 10-year ASCVD risk were observed (all p < 0.001). Exposure to high levels of air pollutants were related to increase high 10-year ASCVD risk and these associations were attenuated by PA, implying that PA may be an effective method to the prevention of high 10-year ASCVD risk in highly polluted rural regions. [ABSTRACT FROM AUTHOR]

Background and Aims: There is no evidence on the longitudinal and causal associations between multiple pesticides and the incidence of type 2 diabetes mellitus (T2DM) in the Chinese rural population, and whether physical activity (PA) modified these associations remains unclear. Here, we aimed to investigate the longitudinal and causal associations between pesticides mixture and T2DM, and determine whether PA modified these associations., Methods: A total of 925 subjects with normal glucose and 925 subjects with impaired fasting glucose (IFG) were enrolled in this case-cohort study. A total of 51 targeted pesticides were quantified at baseline. Logistic regression, quantile g-computation, and Bayesian kernel machine regression (BKMR) were used to assess the individual and combined effects of pesticides on IFG and T2DM. Mendelian randomization (MR) analysis was employed to obtain the causal association between pesticides and T2DM., Results: After 3-year follow-up, one-unit increment in ln-isofenphos, ln-malathion, and ln-deltamethrin were associated with an increase conversion of IFG to T2DM (FDR-P<0.05). One quartile increment in organochlorine pesticides (OCPs), organophosphorus pesticides (OPs), herbicides and pyrethroids mixtures were related to a higher incidence of T2DM among IFG patients (P<0.05). The BKMR results showed a positive trend between exposure to pesticides mixture and T2DM. The MR analysis indicated a positive association between exposure to pesticides and T2DM risk (P<0.05). No any significant association was found between pesticides and IFG. In addition, compared to subjects with high levels of PA, those with low levels of PA were related to increased risk of T2DM with the increased levels of pesticides among IFG patients., Conclusions: Individual and combined exposure to pesticides increased the incidence of T2DM among IFG patients. MR analysis further supported the causal association of pesticides exposure with T2DM risk. Our study furtherly indicated that high levels of PA attenuated the diabetogenic effect of pesticides exposure., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Aims: We aimed to investigate the association between serum cortisol, testosterone, and cortisol/testosterone (C/T) ratio and stroke., Materials and Methods: A total of 6157 subjects were included in this study. The serum levels of cortisol and testosterone were determined by liquid chromatography-tandem mass spectrometry method. The relationships of serum cortisol, testosterone, and C/T ratio levels with the odds ratios (ORs) of stroke were calculated using logistic regression analysis. The dose-response associations between serum cortisol, testosterone, and C/T ratio levels with stroke estimated by restricted cubic splines., Results: After adjusting for multiple variables, serum testosterone levels were negactively associated with stroke in males (per 1 unit, odds ratio (OR) = 0.83, 95 % confidence interval (CI): 0.70, 0.97). The serum C/T ratio is positively associated with stroke in both males and females (OR = 1.16, 95 % CI:1.04,1.34 in males and OR = 1.15, 95 % CI:1.02,1.31 in females). Restricted cubic splines showed a significant linear dose-response relationship between testosterone and C/T ratio and stroke in males (P for overall association <0.05, P for nonlinearity >0.05)., Conclusion: Our study findings show that serum testosterone levels are negatively correlated with stroke in males; meanwhile, serum C/T ratio is positively correlated with stroke in both males and females., Competing Interests: Declaration of competing interest The authors declare that they have no conflict of interest., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: The relationship between glucocorticoids and hypertension has shown inconsistent findings in previous studies. To address this, our study employed a nested case-control design in rural areas to further investigate the association between serum glucocorticoid levels and hypertension, and blood pressure-related indicators., Methods: This study employed a nested case-control design, involving 560 pairs of hypertensive cases and matched controls. The concentrations of serum cortisol (F), cortisone (E) and 11-deoxycortisol (S) were determined using liquid chromatography-tandem mass spectrometry. We employed various methods, including generalized linear model (GLM), conditional logistic regression model, restricted cubic spline regression, subgroup analysis, interaction, and joint effects, with adjustments for multiple covariates to analyze the relationships between glucocorticoids, hypertension, and blood pressure-related indicators., Results: After multivariable adjustments, ln-F, ln-F/E, and ln-S were positively associated with SBP, DBP, pulse pressure (PP), and mean arterial pressure (MAP), while ln-E was negatively associated with DBP and MAP ( P  < 0.05). Interestingly, ln-S showed no statistically significant association with hypertension prevalence ( P  > 0.05), whereas ln-F and ln-F/E were positively associated with it ( P  < 0.05). The adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were 1.153 (1.011-1.315) for ln-F and 2.072 (1.622-2.645) for ln-F/E, respectively. In contrast, ln-E exhibited a negative association with hypertension prevalence (adjusted OR = 0.837, 95% CI 0.714-0.982). Moreover, a significant association was observed between the combined use of high-dose F/E and high-dose S with hypertension prevalence (adjusted OR = 3.273, 95% CI 2.013-5.321). Blood pressure indicators and hypertension prevalence significantly increased with elevated serum F and F/E concentrations ( P  < 0.05). Interaction analysis further revealed that among women, the positive association between F/E and hypertension prevalence was more pronounced than in men ( P  < 0.05), and S exhibited a more significant positive association with hypertension prevalence in the overweight population ( P  < 0.05)., Conclusion: Serum F/E and S levels demonstrated positive associations with hypertension and blood pressure-related indicators, and their combined influence exhibited a synergistic effect on hypertension. Notably, F, F/E, and S were associated with heightened hypertension risk, warranting particular attention in women and overweight populations., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Toxicological and epidemiological studies have shown that environmental endocrine disruptors interfere with hormonal homeostasis. However, there is limited research on the effects of mixed exposure to nonpersistent endocrine disruptors on thyroid hormones and the factors (e.g., presence status of thyroid autoantibodies or nutritional status of organismal iodine) that may influence this association., Methods: Data were collected from the National Health and Nutrition Examination Survey (NHANES) 2007-2008 and 2011-2012. Relationships between single pollutants and thyroid hormone and thyroid autoantibody levels were assessed using generalized linear (GLM) and restricted cubic spline (RCS) regression models. Weighted quantile sum regression (WQS), group-weighted quantile sum regression (GWQS), quantile-based g-computation (qgcomp), and adaptive elasticity network (AENET) were applied to assess the mixed exposure effect. Next, subgroup analyses were performed on the basis of the urinary iodine concentration or thyroid autoantibody status to assess the modifying role of urinary iodine and thyroid autoantibodies., Results: A total of 2385 study participants were included in this study. Both the single-pollutant model and the multipollutant mixed model revealed that parabens and bis(2-ethylhexyl) phthalate (DEHP) metabolites were significantly and negatively associated with serum thyroxine (T4) levels. However, no associations were found between the target pollutants and thyroid autoantibodies (thyroglobulin antibodies (TgAb) and thyroid peroxidase antibodies (TPOAb)). In addition, this study revealed that urinary iodine or thyroid autoantibody status altered the associations of some of the target pollutants with thyroid hormones. WQS and qgcomp analyses, revealed that the associations of mixed pollutants with hormones differed depending on the urinary iodine or antibody status, especially T4 and thyroid-stimulating hormone (TSH)., Conclusion: Significant associations were found between phenols, parabens, and phthalates and serum thyroid hormone levels, with parabens and DEHP metabolites playing major roles. Urinary iodine and thyroid autoantibody status act as modifiers between environmental endocrine-disrupting pollutants and thyroid hormones., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Previous studies exploring the relationship between dietary potassium and magnesium intake and the risk of type 2 diabetes mellitus (T2DM) have yielded inconsistent results and the lack evidence from rural China. Therefore, we aimed to investigate the association between dietary potassium and magnesium intake and the risk of T2DM in rural China. Data was collected from the Henan Rural Cohort Study in 2017. A validated semi-quantitative food frequency questionnaire assessed dietary potassium and magnesium intake. Logistic regression models were used to calculate odds ratio (ORs) and 95% confidence intervals (CIs) to evaluate the effect of dietary potassium, magnesium and the potassium-magnesium ratio on the risk of T2DM. A total of 38384 individuals were included in the study, and 3616 participants developed T2DM. Logistic regression analysis revealed that the OR (95% CI) of the highest versus dietary potassium and magnesium and potassium-magnesium ratio intakes were 0.67 (0.59, 0.75), 0.76 (0.67, 0.88), and 0.57 (0.50, 0.66), respectively, compared to the subjects with the lowest quartile of intakes. In addition, gender partially influences the relationship between dietary magnesium and T2DM prevalence (P- interaction = 0.042). The group with the highest dietary potassium and dietary magnesium intake had the lowest risk of T2DM, with an OR (95% CI) of 0.63 (0.51-0.77). Dietary potassium and magnesium intake are important modifiable risk factors for T2DM in rural China. Dietary potassium intake > 1.8g/day, dietary magnesium intake > 358.6mg/day and < 414.7mg/day and potassium-magnesium ratio >5.1 should be encouraged to prevent better and manage T2DM., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background and Aims: Human studies about short-chain fatty acids (SCFAs), the gut microbiome, and Type 2 diabetes (T2DM) are limited. Here we explored the association between SCFAs and T2DM and the effects of gut microbial diversity on glucose status in rural populations., Methods and Results: We performed a cross-sectional study from the Henan Rural Cohort and collected stool samples. Gut microbiota composition and faecal SCFA concentrations were measured by 16S rRNA and GC-MS. The population was divided based on the tertiles of SCFAs, and logistic regression models assessed the relationship between SCFAs and T2DM. Generalized linear models tested the interactions between SCFAs and gut microbial diversity on glucose indicators (glucose, HbAlc and insulin). Compared to the lowest tertile of total SCFA, acetate and butyrate, the highest tertile exhibited lower T2DM prevalence, with ORs and 95% CIs of 0.291 (0.085-0.991), 0.160 (0.044-0.574) and 0.171 (0.047-0.620), respectively. Restricted cubic spline demonstrated an approximately inverse S-shaped association. We also noted interactions of the ACE index with the highest tertile of valerate on glucose levels (P-interaction = 0.022) and the Shannon index with the middle tertile of butyrate on insulin levels (P-interaction = 0.034). Genus Prevotella&#95;9 and Odoribacter were inversely correlated with T2DM, and the genus Blautia was positively associated with T2DM. These bacteria are common SCFA-producing members., Conclusions: Inverse S-shaped associations between SCFAs (total SCFA, acetate, and butyrate) and T2DM were observed. Valerate and butyrate modify glucose status with increasing gut microbial diversity., Competing Interests: Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.)

Evidence of the relationship between fecal short-chain fatty acids (SCFA) levels, dietary quality and type 2 diabetes mellitus (T2DM) in rural populations is limited. Here, we aimed to investigate the association between fecal SCFA levels and T2DM and the combined effects of dietar quality on T2DM in rural China. In total, 100 adults were included in the case-control study. Dietary quality was assessed by the Alternate Healthy Eating Index 2010 (AHEI-2010), and SCFA levels were analysed using the GC-MS system. Generalised linear regression was conducted to calculate the OR and 95 % CI to evaluate the effect of SCFA level and dietary quality on the risk of T2DM. Finally, an interaction was used to study the combined effect of SCFA levels and AHEI-2010 scores on T2DM. T2DM participants had lower levels of acetic and butyric acid. Generalised linear regression analysis revealed that the OR (95 % CI) of the highest acetic and butyric acid levels were 0·099 (0·022, 0·441) and 0·210 (0·057, 0·774), respectively, compared with the subjects with the lowest tertile of level. We also observed a significantly lower risk of T2DM with acetic acid levels > 1330·106 μg/g or butyric acid levels > 585·031 μg/g. Moreover, the risks of higher acetic and butyric acid levels of T2DM were 0·007 (95 % CI: 0·001, 0·148), 0·005 (95 % CI: 0·001, 0·120) compared with participants with lower AHEI-2010 scores (all P < 0·05). Acetate and butyrate levels may be important modifiable beneficial factors affecting T2DM in rural China. Improving dietary quality for body metabolism balance should be encouraged to promote good health.

Purpose: To investigate the association between low-carbohydrate diet scores (LCDs) and the risk of type 2 diabetes in rural China., Methods: A total of 38,100 adults were included in the Henan Rural Cohort Study. Macronutrient intake was assessed via a validated food-frequency questionnaire to create low-carbohydrate diet (LCD) scores. Multivariate logistic regression models and subgroup analysis were performed to estimate the odds ratio (OR) and 95% confidence interval (95% CI)., Results: After multivariable adjustment, participants with a high total low-carbohydrate diet score have a high risk of T2D (extreme-quartile OR = 1.23, 95% CI: 1.04-1.41; P = 0.007), whereas plant-based LCD score is not related to T2D risk. Among individuals with a BMI < 24 (extreme-quartile OR = 1.22, 95% CI: 1.01-1.47; P < 0.001) or high levels of physical activity (extreme-quartile OR = 1.42, 95% CI: 1.17-1.72; P < 0.001), the animal-based LCD score is positively correlated with the risk of T2D., Conclusion: Among Chinese rural populations, high-fat-low carbohydrate diet is associated with an increased risk of type 2 diabetes. High intake of animal protein and fat also increases T2D risk in those who are overweight or have high physical activity., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Detergent is a chemical product commonly used in people's daily life. Contact with detergent solutions can damage the human skin barrier and cause skin diseases. Skin surface lipids (SSLs) play a decisive role in skin barrier function. This study aimed to observe the changes of SSLs in young adults after exposure to detergent solutions to explore the underlying mechanism of skin barrier function damage., Methods: A self-controlled study on youth adults was conducted in Zhengzhou, China, in November 2020. The study lasted for a total of 1 week, and skin barrier function was assessed by trans-epidermal water loss (TEWL) values. The changes of SSLs before and after exposure to the detergent with subjects were measured using ultra-performance liquid chromatography quadrupole time of flight mass spectrometry., Results: The skin barrier function of subjects' hands was impaired after exposure to detergent (TEWL value increased, p &lt; 0.001). A total of 520 SSLs were detected, divided into 6 main categories. The average relative abundance of these 6 major lipids decreased after exposure. Sphingolipids (mainly ceramides), free fatty acids (mainly long-chain fatty acids), cholesterol lipids, and glycerophospholipids are the most severely damaged lipids., Conclusion: Detergent solutions can damage the skin barrier function and SSLs of young hands; interventions targeting SSLs to eliminate detergent damage to human skin may be of value., (© 2023 S. Karger AG, Basel.)

Evidence shows the relationships of individual environmental PAHs by their urinary metabolites with relative telomere length (RTL), which may be affected by biological gender differences. Since plasma parent PAHs are not metabolized, it may reflect human exposure to PAHs more realistically in daily life. Thus, exploring joint associations between plasma parent PAHs and RTL is urgent, which may identify the major contributor to its adverse effect. In this study, 2577 participants were obtained from the Henan Rural Cohort. The level of PAHs in blood samples was detected by gas chromatography coupled with tandem mass spectrometry. RTL in blood samples was detected by quantitative polymerase chain reaction. Generalized linear models or quantile g-computation were performed to evaluate the associations between the individual or a mixture of PAHs and RTL. Results from generalized linear models showed that each unit increment in BghiP value corresponded to a 0.098 (95%CI: 0.067, 0.129) increment in RTL for men; each unit increment in BaP, BghiP and Flu value corresponded to a 0.041 (95%CI: 0.014, 0.068), 0.081 (95%CI: 0.055, 0.107) and 0.016 (95%CI: 0.005, 0.027) increment in RTL for women. Results from quantile-g computation revealed that each one-quantile increment in the mixture of 10 PAHs corresponded to a 0.057 (95%CI: 0.021, 0.094) and 0.047 (95%CI: 0.003, 0.091) increment in RTL values of women and men, but these associations were mainly ascribed to three PAHs for women (BaP, Flu and BghiP) and men (BaP, BghiP and Pyr), respectively. Similar results were found in smoking men and cooking women without smoking. Our study found that exposure to 10 PAHs mixture was positively associated with RTL across gender, mainly attributed to Flu, BaP and BghiP, implicating that gender-specific associations may be ascribed to tobacco and cooking smoke pollution. The findings provided clues for effective measures to control PAHs pollutants-related aging disease.Clinical trial registration The Henan Rural Cohort Study has been registered at the Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). Date of registration: 06 July 2015. http://www.chictr.org.cn/showproj.aspx?proj=11375 ., (© 2023. The Author(s), under exclusive licence to Springer Nature B.V.)

Parabens and alkylphenols pose serious hazards to human health, yet there are few studies on their exposure profiles and health risks in rural Chinese populations. In this study, 804 participants were selected from the Henan Rural Cohort in mid-eastern China. The plasma levels of parabens (methylparaben, ethylparaben, propylparaben, butylparaben (BuP)) and alkylphenols (4-tert-butylphenol (4-t-BP), 4-tert-octylphenol (4-t-OP)) were analyzed via liquid chromatography-tandem mass spectrometry. Linear regression models were used to investigate factors that may influence pollutant exposure levels. The correlation between contaminants was assessed using Spearman's correlation. The human contaminant intake was estimated using the estimated daily intake (EDI). The health risk was assessed using the hazard quotient (HQ). The detection frequency of four parabens and two alkylphenols exceeded 75%, with median concentrations of 0.444, 0.067, 0.078, 0.053, 8.810, and 6.401 ng/mL, respectively. Significant correlations were observed between parabens, as well as between 4-t-BP and 4-t-OP. Regarding gender, paraben concentrations were higher in women than in men, except for BuP. The EDI for pollutants except 4-t-OP was lower than their respective tolerable/acceptable daily intake. In total, 85.70% of participants had 4-t-OP HQ > 1. A widespread exposure to parabens and alkylphenols among the rural population was found. The high health risks of alkylphenol exposure indicate that alkylphenols should be used with caution.

Evidence on the effect of long-term exposure to fine particulate matter (PM 2.5 ) on erythrocytosis and thrombocytosis prevalence was limited. We aimed to investigate the association of PM 2.5 and its constituents with the risks of erythrocytosis and thrombocytosis. The present study included a total of 33,585 participants from the Henan Rural Cohort at baseline between 2015 and 2017. A hybrid satellite-based model was employed to estimate the concentrations of PM 2.5 mass and its constituents (including black carbon [BC], nitrate [NO 3 - ], ammonium [NH 4 + ], inorganic sulfate [SO 4 2- ], organic matter [OM], and soil particles [SOIL]). The logistic regression model was used to assess the associations of single exposure to PM 2.5 and its constituents with the risks of erythrocytosis and thrombocytosis, and the quantile G-computation method was applied to evaluate their joint exposure risk. For the independent association, the odds ratios for erythrocytosis/thrombocytosis with 1 μg/m 3 increase was 1.049/1.043 for PM 2.5 mass, 1.596/1.610 for BC, 1.410/1.231 for NH 4 + , 1.205/1.139 for NO 3 - , 1.221/1.359 for OM, 1.300/1.143 for SO 4 2- , and 1.197/1.313 for SOIL. Joint exposure to PM 2.5 and its components was also positively associated with erythrocytosis and thrombocytosis. The estimated weight of NH 4 + was found to be the largest for erythrocytosis, while OM had the largest weight for thrombocytosis. PM 2.5 mass and its constituents were positively linked to prevalent erythrocytosis and thrombocytosis, both in single-exposure and joint-exposure models. Additionally, NH 4 + /OM was identified as a potentially responsible component for the association between PM 2.5 and erythrocytosis/thrombocytosis.

This study aims to explore the association of combined exposure to cooking fuel type and ambient ozone (O 3 ) levels with hepatic fibrosis indices among rural adults. A total of 21,010 participants were derived from the Henan Rural Cohort. Information regarding cooking fuel type was collected through a questionnaire, and the concentration of ground-level O 3 for each subject was obtained from the Tracking Air Pollution in China (TAP) dataset. A generalized linear model was used to examine the independent association of cooking fuel type or O 3 exposure with hepatic fibrosis indices (FIB-4, APRI, and AST/ALT), and their possible interactions with advanced fibrosis were conducted. Compared to clean fuel users, solid fuel users had increased the risk of advanced fibrosis, the adjusted odds ratio (OR) of its assessment by FIB-4 1.240 (1.151, 1.336), by APRI 1.298 (1.185, 1.422), and by AST/ALT 1.135 (1.049, 1.227), respectively. Compared to low O 3 exposure, the adjusted ORs of advanced fibrosis assessed by FIB-4, APRI, and AST/ALT in women with high O 3 exposure were correspondingly 1.219 (1.138, 1.305), 1.110 (1.017, 1.212), and 0.883 (0.822, 0.949). The adjusted ORs of advanced fibrosis assessed by FIB-4, APRI, and AST/ALT for solid fuel users with high O 3 exposure relative to clean fuel users with low O 3 exposure in women were 1.557 (1.381, 1.755), 1.427 (1.237, 1.644), and 0.979 (0.863, 1.108), respectively. Significant additive effect of O 3 exposure and solid fuel use on FIB-4-defined advanced fibrosis was observed in women, which was quantified by RERI (0.265, 95%CI: 0.052, 0.477), AP (0.170 95%CI: 0.045, 0.295), and SI (1.906, 95%CI: 1.058, 3.432). Solid fuel users with high O 3 exposure were significantly associated with elevated hepatic fibrosis indices among rural women, suggesting that poor air quality may induce hepatocellular injury, and women might be more vulnerable to air pollution. The findings indicate that using cleaner fuels in cooking is an effective measure to maintain sustainable development of the environment and gain beneficial effect on human health. Clinical trial registration: The Henan Rural Cohort Study has been registered at the Chinese Clinical Trial Register (registration number: ChiCTR-OOC-15006699). Date of registration: 06 July 2015. http://www.chictr.org.cn/showproj.aspx?proj=11375., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This cross-sectional study aimed to investigate differences in skin surface lipids (SSL) and explore related metabolic pathways among females of different ages in Henan Province. Ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) was used to determine the lipid composition of the skin surface of 58 female volunteers who were divided into three age groups. Statistical analysis was performed using Progenesis QI, Ezinfo, and MetaboAnalyst. Multivariate and enrichment analysis were used to identify the different SSL among the groups. A total of 530 lipid entities were identified and classified into eight classes. Among these, 63 lipids were significantly different between the groups. Lower levels of glycerolipids (GLs) and sphingolipids (SPs) were observed in the middle-aged group, while higher levels of GLs were found in the elder group. GLs belonged to the largest and statistically significant enrichment of lipid metabolic pathways, and the lipid individuals enriched to the sphingoid bases metabolism were the most and statistically significant. These findings suggest that there are differences in hand SSL among females of different ages, which may be related to GLs and sphingoid bases metabolism.

Aims: To explore the dose-response relationship of fruit and vegetable (F&V) intake and type 2 diabetes (T2D) risk in rural China., Methods: A total of 38798 adults were recruited from the Henan Rural Cohort Study. F&V intake was assessed by a validated food-frequency questionnaire. Logistic regression and restricted cubic splines analysis were conducted to calculate the odds ratio (OR) for T2D relative to F&V intake and investigate the dose-response relationship., Results: Higher intake of fruit or combined F&V was in connection with a lower risk of T2D, after adjusting for multiple confounders. After analyzing the dose-response relationship, we found that the odds of T2D decreased significantly with fruit consumption ≥ 260 g/day or F&V intake between 600 and 1000 g/day. And in subgroup analysis, we found that the negative correlation between fruit consumption and T2D was more pronounced in non-current smokers and non-current drinkers., Conclusions: High intake of fruit alone or combined F&V is related to a reduced risk of T2D in rural China. Fruit intake ≥ 260 g/day and total F&V consumption of 600-1000 g/day should be encouraged to promote good health., Competing Interests: Conflict of interest None., (Copyright © 2023. Published by Elsevier Ltd.)

Sex hormones have been shown to be negatively associated with hypertension, but the relationship between serum progesterone levels and hypertension has not been adequately studied. Therefore, we aimed to evaluate the association between progesterone and hypertension among Chinese rural adults. A total of 6222 participants were recruited, which included 2577 men and 3645 women. The concentration of serum progesterone was detected by liquid chromatography-mass spectrometer system (LC-MS/MS). Logistic regression and linear regression were used to assess the associations between progesterone levels and hypertension and blood pressure related indicators, respectively. Constrained splines were used to fit the dose-response relationships of progesterone with hypertension and blood pressure related indicators. Moreover, the interactive effects of several lifestyle factors and progesterone were identified by a generalized linear model. After fully adjusting the variables, progesterone levels were inversely associated with hypertension in men [odds ratio (OR): 0.851, 95% confidence interval (CI): 0.752, 0.964]. Among men, a 2.738 ng/ml increase in progesterone was associated with a 0.557 mmHg decrease in diastolic blood pressure (DBP) (95% CI: -1.007, -0.107) and a 0.541 mmHg decrease in mean arterial pressure (MAP) (95% CI: -1.049, -0.034), respectively. Similar results were observed in postmenopausal women. Interactive effect analysis showed that only a significant interaction was observed between progesterone and educational attainment on hypertension in premenopausal women (p=0.024). Elevated levels of serum progesterone were associated with hypertension in men. Except for premenopausal women, a negative association of progesterone with blood pressure related indicators was observed., Competing Interests: The authors declare that they have no conflict of interest., (Thieme. All rights reserved.)