Lifestyle Score and Genetic Factors With Hypertension and Blood Pressure Among Adults in Rural China.

Background: Although high genetic risk and unhealthful lifestyles are associated with a high risk of hypertension, but the combined relationship between lifestyle score and genetic factors on blood pressure remains limited, especially in resource-constrained areas. Aim: To explore the separate and joint effects between genetic and lifestyle factors on blood pressure and hypertension in rural areas. Methods: In 4,592 adults from rural China with a 3-year of follow-up, a genetic risk score (GRS) was established using 13 single nucleotide polymorphisms (SNPs) and the lifestyle score was calculated including factors diet, body mass index (BMI), smoking status, drinking status, and physical activity. The associations of genetic and lifestyle factors with blood pressure and hypertension were determined with generalized linear and logistic regression models, respectively. Results: The high-risk GRS was found to be associated with evaluated blood pressure and hypertension and the healthful lifestyle with diastolic blood pressure (DBP) level. Individuals with unhealthful lifestyles in the high GRS risk group had an odds ratio (OR) (95% CI) of 1.904 (1.006, 3.603) for hypertension than those with a healthful lifestyle in the low GRS risk group. Besides, the relative risk (RR), attributable risk (AR), and population attributable risk (PAR) for unhealthful lifestyle are 1.39, 5.87, 0.04%, respectively, and the prevented fraction for the population (PFP) for healthful lifestyle is 9.47%. Conclusion: These results propose a joint effect between genetic and lifestyle factors on blood pressure and hypertension. The findings provide support for adherence to a healthful lifestyle in hypertension precision prevention. Clinical Trial Registration: The Henan Rural Cohort Study has been registered at the Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). http://www.chictr.org.cn/showproj.aspx?proj=11375.

Identifying the predictive effectiveness of a genetic risk score for incident hypertension using machine learning methods among populations in rural China.

Current studies have shown the controversial effect of genetic risk scores (GRSs) in hypertension prediction. Machine learning methods are used extensively in the medical field but rarely in the mining of genetic information. This study aims to determine whether genetic information can improve the prediction of incident hypertension using machine learning approaches in a prospective study. The study recruited 4592 subjects without hypertension at baseline from a cohort study conducted in rural China. A polygenic risk score (PGGRS) was calculated using 13 SNPs. According to a ratio of 7:3, subjects were randomly allocated to the train and test datasets. Models with and without the PGGRS were established using the train dataset with Cox regression, artificial neural network (ANN), random forest (RF), and gradient boosting machine (GBM) methods. The discrimination and reclassification of models were estimated using the test dataset. The PGGRS showed a significant association with the risk of incident hypertension (HR (95% CI), 1.046 (1.004, 1.090), P = 0.031) irrespective of baseline blood pressure. Models that did not include the PGGRS achieved AUCs (95% CI) of 0.785 (0.763, 0.807), 0.790 (0.768, 0.811), 0.838 (0.817, 0.857), and 0.854 (0.835, 0.873) for the Cox, ANN, RF, and GBM methods, respectively. The addition of the PGGRS led to the improvement of the AUC by 0.001, 0.008, 0.023, and 0.017; IDI by 1.39%, 2.86%, 4.73%, and 4.68%; and NRI by 25.05%, 13.01%, 44.87%, and 22.94%, respectively. Incident hypertension risk was better predicted by the traditional+PGGRS model, especially when machine learning approaches were used, suggesting that genetic information may have the potential to identify new hypertension cases using machine learning methods in resource-limited areas. CLINICAL TRIAL REGISTRATION: The Henan Rural Cohort Study has been registered at the Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). http://www.chictr.org.cn/showproj.aspx?proj=11375 .

Ambient air pollutants aggravate association of snoring with prevalent hypertension: results from the Henan Rural Cohort.

AIM: We aimed to assess if snoring and ambient air pollutants were jointly associated with prevalent hypertension in a cross-sectional study. METHODS: A total of 28440 participants aged 18-79 years were obtained from the Henan Rural Cohort. Snoring evaluated using Pittsburgh sleep quality index (PSQI) scale was classified into 'Never', '<3 times/week' and '≥3 times/week' groups. Concentrations of air pollutants (PM1, PM2.5, PM10, and NO2) were evaluated by a satellite-based spatiotemporal model. The independent and joint associations between snoring and air pollutants on prevalence of hypertension were analyzed by logistic regression models. RESULTS: The mean age of all participants was 56.0 ± 12.2 years. The frequencies and prevalence of participants with hypertension were 3666 (32.39%) in men and 5576(32.57%) in women, respectively. The odds ratio (OR) and 95% confidence interval (CI) of participants with snoring frequency of <3 times/week, ≥3 times/week was 1.10(1.02-1.20), and 1.15(1.08-1.23) for hypertension, compared to those without snoring. Participants with a snoring (≥3 times/week) and higher exposure concentrations of PM1, PM2.5, PM10, and NO2 had 2.58-fold(95% CI: 2.30-2.90), 3.03-fold(95% CI: 2.69-3.41), 2.89-fold(95% CI: 2.57-3.25) and 2.75-fold(95% CI: 2.44-3.10) for hypertension, compared to those without snoring and low concentrations of air pollutants. Additionally, participants with high PM1 and ≥3 times/week snoring (OR: 1.32, 95% CI: 1.18-1.48) was at a higher likelihood for prevalent hypertension, compared to those without snoring and with high PM1. CONCLUSIONS: Snoring and high ambient air pollutants might be important predictors of hypertension, and higher concentration of PM1 might aggravate the association between snoring and hypertension.

Abnormal night sleep duration and poor sleep quality are independently and combinedly associated with elevated depressive symptoms in Chinese rural adults: Henan Rural Cohort.

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.

The Association of Body Fat Percentage With Hypertension in a Chinese Rural Population: The Henan Rural Cohort Study.

Background: Obesity is an important risk factor for hypertension. Previous studies have explored the association between body fat percentage (BFP) and hypertension, but evidence on the consistency of the association remains uncertain and limited. The aim of this study was to explore the relationship between BFP and hypertension in a Chinese rural population. Methods: The present cross-sectional study including 38,913 eligible individuals was conducted in rural areas of Henan province. BFP was measured by bioelectrical impedance methods using Omron body fat and weight measurement device. Logistic regression models and restricted cubic spline regression models were performed to investigate the relationship between BFP and hypertension. Receiver operating characteristic (ROC) analyses were used to compare the discriminating power of adiposity indices. Results: The age-standard prevalence of hypertension was 23.74 and 17.87% in males and females, respectively. Compared with the first quartile of BFP, the adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for hypertension in the highest BFP quartile were 3.30 (95% CI: 2.85, 3.83) in males and 2.66 (95% CI: 2.36, 2.99) in females, and the adjusted ORs increased along with increasing BFP levels. The areas under ROC and 95% CIs of BFP were 0.673 (0.665, 0.682) in males and 0.696 (0.689, 0.703) in females, respectively. Conclusions: BFP was significantly positively associated with the prevalence of hypertension in both males and females in the Chinese rural population. Controlling of body fat should be emphasized in rural areas of China. Clinical Trial Registration: Registration number: ChiCTR-OOC-15006699. http://www.chictr.org.cn/showproj.aspx?proj=11375.

Night sleep duration and sleep initiation time with hypertension in Chinese rural population: the Henan Rural Cohort.

BACKGROUND: The study was conducted to evaluate the independent dose-response of the night sleep duration and sleep initiation time on hypertension, and to explore their combined effect with hypertension. METHODS: Participants from the Henan Rural Cohort were enrolled in this study. Information on sleep was collected using the Pittsburgh Sleep Quality Index. Hypertension was defined as systolic blood pressure/diastolic blood pressure ≥140/90 mmHg or self-reported hypertension and current use of anti-hypertensive medicines. Logistic regression and restricted cubic spline were conducted to evaluate the association of night sleep duration and sleep initiation time with hypertension. RESULTS: Of the 37 317 included participants, 12 333 suffered from hypertension. 14 474 (38.79%) were men and 22 843 (61.21%) were women, the mean age were 57.18 ± 12.10 and 55.24 ± 11.98 in men and women. Compared to reference (7-h), fully adjusted odd ratios (ORs) and 95% confidence interval (CI) of hypertension were 0.91 (0.66-1.25) in <5 h group and 1.74 (1.41-2.16) in ≥10 h among men, respectively. Fully adjusted ORs (95% CIs) for hypertension compared with reference (21:00-22:00) were 1.05 (95% CI 0.78-1.41) in the <20:00 group, 1.52 (1.25-1.85) in ≥24:00 in men. The combined effect of sleep duration and sleep initiation time on hypertension were statistically significant in the category of (≥8 h)/night and ≥24:00 (OR 1.87, 95% CI 1.07-3.25) compared to reference in fully adjusted model among men. CONCLUSIONS: Long night sleep duration and late sleep initiation time were associated with the higher odds of hypertension, and the sleep duration and sleep initiation time might cumulatively increase the prevalence of hypertension in men. CLINICAL TRIAL REGISTRATION: The Henan Rural Cohort Study has been registered at the Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). http://www.chictr.org.cn/showproj.aspx? proj=11375.

The association between PSQI score and hypertension in a Chinese rural population: the Henan Rural Cohort Study.

OBJECTIVES: This study investigated the association between poor sleep quality and hypertension, and evaluated how the Pittsburgh Sleep Quality Index (PSQI) score correlates with blood pressure and prevalent hypertension. METHODS: A total of 27, 912 participants aged 18-79 years from the Henan Rural Cohort Study were included into the current study. PSQI score was classified as <3, 3-, 6-, ≥9. Multivariate logistic regression models and restricted cubic spline with hypertension as a dependent variable were conducted. A meta-analysis was conducted to validate the result of the cross-sectional study. RESULTS: Altogether, 6,085 (21.80%) were poor sleepers and 9,056 (32.44%) suffered from hypertension. The odds ratios (ORs) (95% confidence intervals (CIs)) of participants with sleep quality of 3-, 6-, ≥9 were 1.16(1.07-1.26), 1.35(1.21-1.50) and 1.62 (1.39-1.88) compared to the participants with a score of less than 3 among participants excluding undiagnosed hypertension. ORs and 95% CIs per 3 increment score were higher for hypertension (1.16, 1.11-1.21) among total population, (1.18, 1.10-1.27) among men and (1.13, 1.08-1.19) among women. Compared to reference, poor sleep quality was associated with a higher odd of hypertension (OR 1.09, 95% CI 1.01-1.17) for total population, (1.14, 1.00-1.30) for men and (1.04, 0.95-1.13) for women. Moreover, the odds of hypertension were increased with increment of PSQI score after fitting restricted cubic splines (Ptrend <0.01). The meta-analysis showed that pooled OR of hypertension was significantly higher for poor sleepers (1.62, 1.03-2.56, I2 = 97.3%, P < 0.001). CONCLUSIONS: Higher PSQI score was associated with increased odds of prevalent hypertension in both genders. In addition, poorer sleepers might suffer from hypertension.

The prevalence and trend of depression among veterans in the United States.

BACKGROUND: Depression is a common psychiatric illness that is associated with high rates of mortality and morbidity. However, studies reporting the trends of depression among U.S. veterans are limited. Therefore, the aim of this study was to evaluate the prevalence and trend of depression among U.S. veterans and evaluate potential exploratory variables that may contribute. METHODS: Data were from six cycles, 2005-2016, of the National Health and Nutrition Examination Survey (NHANES). Veteran status of depression was self-reported using the Patient Health Questionnaire. Rao-Scott χ2 test measured bivariate association of depression and exploratory variables (age, gender, race/ethnicity, poverty, and education). Cochran-Armitage trend test assessed depression prevalence time-trends from 2005 to 2016. RESULTS: Over a two-week period, 16.3% of veterans spent at least half of the days feeling tired or having little energy. Also, over 15.0% of veterans reported having trouble sleeping or sleeping too much on more than half of the days (6.5%) or nearly every day (9.1%). The overall prevalence of depression among veterans peaked in 2011-2012 at 12.3%. Among female veterans, there is a general increasing prevalence of depression, escalating from 9.0% in the 2007-2008 cycle to 14.8% in the 2015-2016 cycle. White veterans consistently had a higher prevalence of depression compared to Black and Hispanic veterans. LIMITATIONS: NHANES data were only able to assess noninstitutionalized individuals. CONCLUSIONS: Results indicate that disparities in prevalence of depression existed among U.S. veterans. Cost-effective strategies are needed to help prevent and treat depression among U.S. veterans.

A dose-response association of night sleep duration with hypertension in a Chinese rural population: the Henan Rural Cohort Study.

The purpose of the study was to determine if there was a relationship between night sleep duration and hypertension, and to evaluate as to whether blood lipid levels played a role in this relationship. A total of 37,317 participants aged 18-79 years were included in this study. Night sleep duration was classified as <5, 5-, 6-, 7-, 8-, 9-, and ≥10 hours. Logistic regression and restricted cubic spline analysis was carried out to evaluate the association of sleep duration with hypertension. Compared with reference sleep duration (7 hours), in males, the multivariate odds ratios (ORs) (95% confidence interval [95% CI]) of the groups with longest sleep duration (≥10 hours) and shortest sleep duration (<5 hours) for hypertension was 1.52 (1.25-1.84) and 1.07 (0.80-1.44), respectively. Similarly, the longest sleep duration was associated with diagnosed hypertension (1.21, 1.00-1.45) in females. The OR for an indirect effect of sleep duration through low-density lipoprotein cholesterol (LDL-C) on hypertension was 1.085 (95% CI 1.038-1.137). Overall, a 3.5% possibility of hypertension being associated with sleep duration was attributable to LDL-C. In summary, a relationship between sleep duration and hypertension was observed in this rural population. LDL-C appeared to partially mediate the effect of sleep duration on hypertension in males.

C-src tyrosine kinase gene rs1378942 polymorphism and hypertension in Asians: Review and meta-analysis.

BACKGROUND: The risk allele frequency of rs1378942 of c-src tyrosine kinase (CSK) gene is much higher in Asians (~ 0.80) than that in Europeans (~ 0.35), and the association between rs1378942 and blood pressure is controversial in Asians. Thus, the review and meta-analysis was performed to explore the effects of rs1378942 polymorphism on systolic blood pressure (SBP), diastolic blood pressure (DBP) levels and hypertension in Asians. METHODS: A literature search was conducted in electronic databases up to September 1, 2018. Beta, Odds Ratio (OR) and corresponding 95% confidence intervals (95%CI) were calculated to estimate the effects of rs1378942 on SBP, DBP and hypertension. Quanto software was used to estimate the statistical power. RESULTS: The results showed that the rs1378942 polymorphism significantly affected blood pressure levels in Asians, the C allele carriers had higher SBP and DBP levels: beta (95%CI): 0.71(0.38-1.04), P = 2.579 × 10-5, I2 = 43.5%, and beta (95%CI): 0.33(0.18-0.49), P = 2.092 × 10-5, I2 = 28.3%, respectively. This association was also found in East Asians, but not in South Asians. Furthermore, no significant association was observed with hypertension: OR (95%CI): 1.10 (0.97-1.25), P = .129, I2 = 81.2%. CONCLUSION: The meta-analysis demonstrates that the C allele of the CSK rs1378942 is associated with higher SBP and DBP levels in East Asians.

The "T" allele of apolipoprotein A5 rs2075291 is significantly associated with higher total cholesterol and triglyceride and lower high-density lipoprotein cholesterol levels in Asians: a meta-analysis.

Previous studies have discussed the association between apolipoprotein A5 (APOA5) gene rs2075291 polymorphism and lipid levels, but the results were inconsistent. The meta-analysis was performed to evaluate the reported effects of rs2075291 polymorphism on blood lipid levels, including total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) in Asians. A literature search was performed in six databases from January 1, 2001 to March 1, 2017. A standardized mean difference (SMD) with 95% confidence interval (95% CI) was computed to estimate the effect value. Overall, 10 articles with 19 reports were included and most of them were from Chinese institutions. Pooled results indicated significant effects of rs2075291 on lipid levels in Asians; the carriers of T allele had higher TC and TG levels but lower HDL-C level than the non-carriers, and the corresponding SMD (95% CI) were 0.20 (0.04-0.36), 0.74 (0.54-0.94), and -0.17 (-0.33 to -0.00), respectively. No significant difference was found for the LDL-C level: P = .172. Although results from the meta-analysis suggest that the T allele of the APOA5 rs2075291 is associated with higher TC and TG levels and lower HDL-C levels, large-scale studies considering the gene-gene and gene-environment interaction are needed to further explore the effects of rs2075291 polymorphism on blood lipid levels in different ethnicities.

Dyslipidemia prevalence, awareness, treatment, control, and risk factors in Chinese rural population: the Henan rural cohort study.

BACKGROUND: The prevalence of dyslipidemia continue to increase in recent decades in China, however, little is known about the recent prevalence, awareness, treatment, control, and potential risk factors of dyslipidemia in the rural areas of China. METHODS: A total of 39,207 participants aged 18-79 years were recruited for the epidemiological research from the Henan Rural Cohort study. The age- and sex-adjusted means (95% confidence intervals, CI) of serum lipid levels or percentages of prevalence, awareness, treatment, and control overall and in various population subgroups were estimated and compared by multiple linear regression or logistic regression. The multivariable logistic regression model was used to explore the associations between the socio-demographic factors and the prevalence, awareness, treatment and control of dyslipidemia. RESULTS: The age- and sex-adjusted mean levels (95%CI) of total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were 4.76(4.75-4.77), 1.68(1.67-1.69),1.33(1.32-1.33), and 2.87 (2.86-2.88) mmol/L, respectively. Overall, the age-standardized prevalence of dyslipidemia was 32.21% (42.85% in men vs. 26.16% in women) in Chinese rural adults, with 5.11, 16.00, 19.27, and 4.76% for high TC, high TG, low HDL-C and high LDL-C, respectively. The age-standardized awareness, treatment and control of dyslipidemia were 15.07, 7.23, and 3.25%, respectively, which were higher in women than men, and increased steeply with age (P trend < 0.05). The proportion of prevalence, awareness, treatment, control of dyslipidemia differed significantly among various subpopulations while the awareness, treatment, and control rates were universally low in all subgroups (< 54, 36, and 15%, respectively). Increasing age, men, unhealthy lifestyles, positive family history of dyslipidemia, abnormal weight, type 2 diabetes mellitus and hypertension were independent risk factors of dyslipidemia. CONCLUSION: Dyslipidemia was common with unacceptably low awareness, treatment and control rates in rural China. Therefore, effective strategies are necessary for improving the status of the prevention, diagnosis, treatment, control of dyslipidemia in Chinese rural residents. TRIAL REGISTRATION: ChiCTR-OOC-15006699.

Gender-specific independent and combined dose-response association of napping and night sleep duration with type 2 diabetes mellitus in rural Chinese adults: the RuralDiab study.

OBJECTIVE: The aim of this study was to explore the independent and combined dose-response association of napping and night sleep duration with type 2 diabetes mellitus (T2DM) among different genders in the rural Chinese population. METHODS: For this research, a total of 19,257 participants were enrolled in the Rural Diabetes, Obesity and Lifestyle (RuralDiab) study. Napping and night sleep duration were assessed using the Pittsburgh Sleep Quality Index (PSQI). Restricted cubic splines and logistic regression were used to estimate the relationship between napping and night sleep duration with T2DM. RESULTS: A linear dose-response relationship between napping duration and T2DM as well as a U-shaped relationship between night sleep duration and T2DM were found. Compared with those who reported no napping, participants who had a napping duration of ≥91 min were associated with a 19% increase in prevalence of T2DM. Adjusted odds ratios (ORs) (95% confidence intervals (CIs)) for T2DM were 1.48 (1.03, 2.14) and 1.50 (1.22, 1.85) for shorter (≤5 h) and longer (>9 h) night sleep duration compared with the referential group. Additionally, the combination of longer napping duration (≥91 min) and night sleep duration (>9 h) increased 104% (95% CI: 45%, 128%) prevalence for T2DM. These associations were not found in males but were evident in females. CONCLUSIONS: Longer napping duration and extreme night sleep duration increased the prevalence of T2DM. Meanwhile, longer napping and night sleep duration might be jointly associated with a higher prevalence of T2DM.

The burden, management rates and influencing factors of high blood pressure in a Chinese rural population: the Rural Diabetes, Obesity and Lifestyle (RuralDiab) study.

The aim of the present study was to examine the prevalence, awareness, treatment, control, and potentially influencing factors of high blood pressure (HBP) in Chinese rural adults based on a cross-sectional study. Using data from the Rural Diabetes, Obesity and Lifestyle (RuralDiab) study, a total of 30,834 participants aged 18-74 years were enrolled for the epidemiological study. The multivariate logistic regression model including all selected potentially influencing factors was carried out for the adjusted odds ratios (ORs) and 95% confidence intervals (CIs). Overall, a total of 9872 individuals were diagnosed as HBP (32.02%) with substantial imparity between men and women (32.87% vs. 30.58%), and the corresponding age-standardized prevalence of HBP were 19.50% (20.94% in men and 18.85% in women). Among the HBP patients, 6654 were aware of the diagnosis (67.40%), 5391 were taking medication (54.61%), and 2572 had their blood pressure controlled (26.05%).The corresponding age-adjusted awareness, treatment, and control of HBP were 59.35%, 45.91%, and 23.87%, respectively, and the corresponding rates were higher in women than those in men. The age-specific prevalence and management rates of HBP displayed increased trends with aging in both sexes(P trend < 0.05). Aging, low level of education, unhealthy lifestyle, positive family history of hypertension, overweight, obesity, diabetes, and dyslipidemia were associated with the prevalence, awareness, treatment, and control of HBP. In conclusion, uncontrolled HBP was common with high prevalence in Chinese rural residents. Strengthening the primary prevention through lifestyle modifications is necessary for reducing the disease burden and improving the management rates of HBP.

An association of health behaviors with depression and metabolic risks: Data from 2007 to 2014 U.S. National Health and Nutrition Examination Survey.

BACKGROUND: Both depression and metabolic syndrome (MetS) confer an increased risk of developing type 2 diabetes (T2D) and cardiovascular disease. Accumulating evidence suggests healthy behaviors are crucial to maintain, improve and manage chronical disease and mental health; and unhealthy diet and sedentary behavior were found two major risk factors of MetS. The objective of this study was to investigate whether health behaviors (alcohol consumption, smoking, diet and recreational physical activity) are associated with depression and metabolic syndrome simultaneously. METHODS: This study included 1300 participants aged 20 years and over who had answered mental health-depression screener questions (PHQ-9) and finished examinations and laboratory tests related to five risk factors of MetS during the U.S. National Health and Nutrition Examination Survey (NHANES) 2007-2014. A set of series of weighted logistic regression models were used to investigate the aforementioned relationship. RESULTS: The prevalence of depression among U.S. adults is 15.08%. The two most often reported depression symptoms were "Trouble sleeping or sleeping too much" and "Feeling tired or having little energy", with rates of14.68% and 13.09%, respectively. Participants who engaged in only light physical activity were more likely to have been identified as experiencing depression and MetS than those who engaged in vigorous physical activity with odd ratios 3.18 (95% CI: 1.59, 6.37) and 3.50 (95%CI: 2.17, 5.63), respectively. Individuals in the study having poor diets were more likely to suffer from depression than those eating good diets (OR=2.17, 95%CI: 1.47, 3.22). CONCLUSION: Physical activity is strongly and inversely associated with depression and MetS. Diet is significantly associated with depression rather than MetS in this study.

Age- and gender-specific associations of napping duration with type 2 diabetes mellitus in a Chinese rural population: the RuralDiab study.

BACKGROUND: The consistency and strength of the relationship between napping duration and type 2 diabetes mellitus (T2DM) remained uncertain, especially in the rural population. The purpose of this study was to explore the relationship between napping duration and T2DM in a Chinese rural population. METHODS: A total of 12663 participants (4365 males and 8298 females) were derived from the RuralDiab study in China. Napping duration was obtained through a standardized questionnaire, and was divided into five categories: no napping (reference), 1∼, 31∼, 61∼, and ≥91 min. Fasting blood glucose was measured. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). A meta-analysis including seven studies was conducted to validate the result of the RuralDiab study. RESULTS: The crude and age-standardized prevalence of T2DM were 10.31% and 8.14%, respectively. Compared with no napping, the adjusted OR (95%CI) for napping duration ≥91 min was 1.23 (1.05-1.45). A similar relationship was found only in females aged 45-54 years, but not in males and other age group females. In addition, napping duration was associated with T2DM in a positive dose-dependent manner among females aged 45-54 years (P for trend <0.05). The meta-analysis demonstrated this association, and the pooled OR (95%CI) for the longest napping duration compared with no napping was 1.28 (1.22-1.35). CONCLUSION: Longer napping duration is associated with higher risk of T2DM in the Chinese rural population, and this association varies across gender and age. Further multi-center prospective researches are needed to confirm the relationship and reveal underlying mechanisms.

Development and evaluation of a risk score for type 2 diabetes mellitus among middle-aged Chinese rural population based on the RuralDiab Study.

The purpose of this study was to establish a simple and effective risk score for type 2 diabetes mellitus (T2DM) in middle-aged rural Chinese. Total of 5453 participants aged 30-59 years from the Rural Diabetes, Obesity and Lifestyle (RuralDiab) study were recruited for establishing the RuralDiab risk score by using logistic regression analysis. The RuralDiab risk score was validated in a prospective study from Henan Province of China, and compared with previous risk scores by using the receiver-operating characteristics cure. Ultimately, sex, age, family history of diabetes, physical activity, waist circumference, history of dyslipidemia, diastolic blood pressure, body mass index were included in the RuralDiab risk score (range from 0 to 36), and the optimal cutoff value was 17 with 67.9% sensitivity and 67.8% specificity. The area under the cures (AUC) of the RuralDiab risk score was 0.723(95%CI: 0.710-0.735) for T2DM in validation population, which was significant higher than the American Diabetes Association score (AUC: 0.636), the Inter99 score (AUC: 0.669), the Oman risk score (AUC: 0.675). The RuralDiab risk score was established and demonstrated an appropriate performance for predicting T2DM in middle-aged Chinese rural population. Further studies for validation should be implemented in different populations.

Development and evaluation of a simple and effective prediction approach for identifying those at high risk of dyslipidemia in rural adult residents.

BACKGROUND: Dyslipidemia is an extremely prevalent but preventable risk factor for cardiovascular disease. However, many dyslipidemia patients remain undetected in resource limited settings. The study was performed to develop and evaluate a simple and effective prediction approach without biochemical parameters to identify those at high risk of dyslipidemia in rural adult population. METHODS: Demographic, dietary and lifestyle, and anthropometric data were collected by a cross-sectional survey from 8,914 participants living in rural areas aged 35-78 years. There were 6,686 participants randomly selected into a training group for constructing the artificial neural network (ANN) and logistic regression (LR) prediction models. The remaining 2,228 participants were assigned to a validation group for performance comparisons of ANN and LR models. The predictors of dyslipidemia risk were identified from the training group using multivariate logistic regression analysis. Predictive performance was evaluated by receiver operating characteristic (ROC) curve. RESULTS: Some risk factors were significantly associated with dyslipidemia, including age, gender, educational level, smoking, high-fat diet, vegetable and fruit intake, family history, physical activity, and central obesity. For the ANN model, the sensitivity, specificity, positive and negative likelihood ratio, positive and negative predictive values were 90.41%, 76.66%, 3.87, 0.13, 76.33%, and 90.58%, respectively, while LR model were only 57.37%, 70.91%, 1.97, 0.60, 62.09%, and 66.73%, respectively. The area under the ROC cure (AUC) value of the ANN model was 0.86±0.01, showing more accurate overall performance than traditional LR model (AUC = 0.68±0.01, P<0.001). CONCLUSION: The ANN model is a simple and effective prediction approach to identify those at high risk of dyslipidemia, and it can be used to screen undiagnosed dyslipidemia patients in rural adult population. Further work is planned to confirm these results by incorporating multi-center and longer follow-up data.