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1.
Ecotoxicol Environ Saf ; 230: 113104, 2022 Jan 15.
Article in English | MEDLINE | ID: mdl-34953276

ABSTRACT

Air pollutants are common modifiable risk factors for arthritis. To explore the longitudinal effects of air pollution on arthritis based on a cohort study in middle-aged and elder people of China. Data was obtained from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018. A total of 7449 participants aged 45 years and older were involved in our study. The generalized linear mixed models were conducted to examine the separate and joint effects of household air pollution and outdoor air pollution on arthritis, respectively. We found a strong significant association between air pollution and arthritis incidence. Individuals cooking primarily with solid fuel were more likely in higher risk of arthritis compared with cleaner fuel (OR= 1.15; 95% CI: 1.08-1.23). The group-based trajectory model identified four trajectory groups, compared with group "High-Decreasing rapidly", adjusted ORs of incident arthritis for group "Middle-Decreasing moderately", "Low-Decreasing slowly" and "Low-Stably" were 1.36 (95% CI, 1.03-1.79), 1.36 (95% CI, 1.01-1.83) and 1.81 (95% CI, 1.30-2.52), respectively. These associations were generally higher in participants younger than 65 years. In addition, solid fuel use and PM2.5 exposure had additive and multiplicative effects on arthritis. The results suggested that solid fuel use and long-term PM2.5 exposure were associated with a higher incidence of arthritis. Therefore, it is necessary to restrict solid fuel use to reduce household air pollution and make stronger environmental protection policies to reduce PM2.5 concentration.

2.
Metab Brain Dis ; 33(6): 1899-1909, 2018 12.
Article in English | MEDLINE | ID: mdl-30178281

ABSTRACT

The study is aimed to assess whether the addition of contourlet-based hippocampal magnetic resonance imaging (MRI) texture features to multivariant models improves the classification of Alzheimer's disease (AD) and the prediction of mild cognitive impairment (MCI) conversion, and to evaluate whether Gaussian process (GP) and partial least squares (PLS) are feasible in developing multivariant models in this context. Clinical and MRI data of 58 patients with probable AD, 147 with MCI, and 94 normal controls (NCs) were collected. Baseline contourlet-based hippocampal MRI texture features, medical histories, symptoms, neuropsychological tests, volume-based morphometric (VBM) parameters based on MRI, and regional CMgl measurement based on fluorine-18 fluorodeoxyglucose-positron emission tomography were included to develop GP and PLS models to classify different groups of subjects. GPR1 model, which incorporated MRI texture features and was based on GPG, performed better in classifying different groups of subjects than GPR2 model, which used the same algorithm and had the same data as GPR1 except that MRI texture features were excluded. PLS model, which included the same variables as GPR1 but was based on the PLS algorithm, performed best among the three models. GPR1 accurately predicted 82.2% (51/62) of MCI convertors confirmed during the 2-year follow-up period, while this figure was 53 (85.5%) for PLS model. GPR1 and PLS models accurately predicted 58 (79.5%) vs. 61 (83.6%) of 73 patients with stable MCI, respectively. For seven patients with MCI who converted to NCs, PLS model accurately predicted all cases (100%), while GPR1 predicted six (85.7%) cases. The addition of contourlet-based MRI texture features to multivariant models can effectively improve the classification of AD and the prediction of MCI conversion to AD. Both GPR and LPS models performed well in the classification and predictive process, with the latter having significantly higher classification and predictive accuracies. Advances in knowledge: We combined contourlet-based hippocampal MRI texture features, medical histories, symptoms, neuropsychological tests, volume-based morphometric (VBM) parameters, and regional CMgl measurement to develop models using GP and PLS algorithms to classify AD patients.


Subject(s)
Alzheimer Disease/classification , Alzheimer Disease/diagnostic imaging , Hippocampus/diagnostic imaging , Magnetic Resonance Imaging/classification , Aged , Aged, 80 and over , Female , Follow-Up Studies , Humans , Magnetic Resonance Imaging/methods , Male , Middle Aged , Multivariate Analysis
3.
Int J Med Sci ; 13(6): 445-50, 2016.
Article in English | MEDLINE | ID: mdl-27279794

ABSTRACT

BACKGROUND: Longitudinal associations between triglycerides (TG) and other metabolic syndrome (MetS) components have rarely been reported. The purpose was to investigate the longitudinal association between TG and other MetS components with time. METHODS: The longitudinal study was established in 2007 on individuals who attended health check-ups at Beijing Tongren Hospital and Beijing Xiaotangshan Hospital. Data used in this study was based on 7489 participants who had at least three health check-ups over a period of 5-year follow up. Joint model was used to explore longitudinal associations between TG and other MetS components after adjusted for age. RESULTS: There were positive correlations between TG and other MetS components except for high density lipoprotein (HDL), and the correlations increased with time. A negative correlation was displayed between TG and HDL, and the correlation also increased with time. Among all five pairs of TG and other MetS components, the marginal correlation between TG and body mass index (BMI) was the largest for both men and women. The marginal correlation between TG and fasting plasma glucose was the smallest for men, while the marginal correlation between TG and diastolic blood pressure was the smallest for women. CONCLUSIONS: The longitudinal association between TG and other MetS components increased with time. Among five pairs of TG and other MetS components, the longitudinal correlation between TG and BMI was the largest. It is important to closely monitor subjects with high levels of TG and BMI in health check-up population especially for women, because these two components are closely associated with development of hypertension, diabetes, cardiovascular disease and other metabolic diseases.


Subject(s)
Metabolic Syndrome/blood , Triglycerides/blood , Adult , Blood Glucose/metabolism , Blood Pressure/physiology , Body Mass Index , China , Cholesterol, HDL/blood , Female , Humans , Longitudinal Studies , Male , Middle Aged , Risk Factors
4.
Article in English | MEDLINE | ID: mdl-28994716

ABSTRACT

The risk of incident prediabetes with gain in waist circumference (WC) has not been addressed among Chinese adults. A total of 7951 participants who underwent health check-ups at the Beijing Physical Examination Center and Beijing Xiaotangshan hospital were recruited in 2009 and followed up in 2016. Participants were classified into four groups according to categories of percent WC gain: ≤-2.5%, -2.5-2.5%, 2.5-5%, and >5%. The effect of WC gain on prediabetes was evaluated using modified Poisson regression models. Over seven years of follow-up, we identified 1034 prediabetes cases (413 women). Compared with a WC gain of ≤-2.5%, participants with a WC gain of >5% have a higher risk of prediabetes, be they male (non-abdominal obesity at baseline group: RR = 1.57, 95% CI: 1.10-2.24, abdominal obesity at baseline group: RR = 1.66, 95% CI: 1.20-2.30) or female (non-abdominal obesity at baseline group: RR = 1.74, 95% CI: 1.14-2.64, abdominal obesity at baseline group: RR = 2.47, 95% CI: 1.43-4.28). In conclusion, the risk of prediabetes increased significantly with increasing WC for both genders in the Chinese population. Lifestyle interventions aiming at preventing abdominal obesity are urgently needed to reduce the increasing burden of prediabetes, diabetes, and its complications.


Subject(s)
Blood Glucose , Diabetes Mellitus/etiology , Obesity, Abdominal/complications , Prediabetic State , Waist Circumference , Adult , Aged , Asian People , Beijing , Body Mass Index , Diabetes Mellitus/epidemiology , Female , Humans , Incidence , Life Style , Longitudinal Studies , Male , Middle Aged , Obesity, Abdominal/epidemiology , Risk Factors
5.
Journal of Preventive Medicine ; (12): 111-116, 2021.
Article in Zh | WPRIM | ID: wpr-876093

ABSTRACT

Objective@#To evaluate the effects of dietary behaviors on the risk of hypertension, diabetes and cardiovascular diseases.@*Methods@#A total of 12 208 subjects aged 18-60 years old were investigated by questionnaires to collect demographic data, dietary behaviors and lifestyle information, when they did health examination in a tertiary hospital in Beijing from 2014 to 2019. During the observation period of five year, the incidence of hypertension, diabetes and cardiovascular diseases were collected through health examination files every year. The multivariate logistic regression model was employed to analyze the associations of dietary behaviors with hypertension, diabetes and cardiovascular diseases. @*Results@#The study included 6 218 ( 50.93% ) males and 5 990 ( 49.07% ) females. The cumulative incidence rates of hypertension, diabetes and cardiovascular diseases were 7.75%, 2.72% and 3.49%, respectively. The multivariate logistic regression analysis indicated that the high-sodium diet ( OR=1.422, 95%CI: 1.191-1.697 ) , eating fast ( OR=1.457, 95%CI: 1.102-1.974 ), eating more refined grain ( OR=1.251, 95%CI: 1.050-1.490 ) and drinking milk less than once a week ( OR=1.316, 95%CI: 1.022-1.697 ) were risk factors for hypertension. The high-sodium diet ( OR=1.344, 95%CI: 1.048-1.725 ), eating fast ( OR=1.733, 95%CI: 1.046-2.871 ), eating more meat ( OR=1.651,95%CI: 1.263-2.158 ) were risk factors for diabetes. High-sodium diet ( OR=1.501, 95%CI: 1.192-1.889 ) was risk factors for cardiovascular disease. @*Conclusion@#The diet with high sodium, more meat and refined grain as well as eating fast can increase the risk of hypertension, diabetes and cardiovascular diseases.

6.
Environ Toxicol Pharmacol ; 34(3): 688-93, 2012 Nov.
Article in English | MEDLINE | ID: mdl-23117068

ABSTRACT

The 15-day intact adult male assay was used to evaluate effects of isoflurane on the testes and sexual hormones. Forty adult male Sprague-Dawley rats were divided into five groups exposed to air containing 0, 50, 300, 1800 or 10,800 ppm isoflurane. After the treatments, serum was collected for the hormones assay. The right testis was to be used for daily sperm production. The left testis was processed for histopathology and electron microscopy observation. Daily sperm productions were significantly decreased at doses of 300, 1800 and 10,800 ppm. Impaired seminiferous tubules were noted at doses of 300, 1800 and 10,800 ppm. Ultrastructural changes included nucleus agglutination of spermatocytes, big lipid drops and autophagosome in cytoplasm. The serum follicle-stimulating hormone and testosterone concentrations reduced significantly at doses of 1800 and 10,800 ppm. Isoflurane induced impairments of seminiferous tubules and spermatogenesis. The testicular damages caused by isoflurane can be related to the imbalances in the sexual hormones.


Subject(s)
Anesthetics, Inhalation/toxicity , Inhalation Exposure/adverse effects , Isoflurane/toxicity , Spermatogenesis/drug effects , Anesthetics, Inhalation/administration & dosage , Animals , Follicle Stimulating Hormone/blood , Isoflurane/administration & dosage , Male , Rats , Rats, Sprague-Dawley , Seminiferous Tubules , Sperm Count , Spermatozoa/drug effects , Testis/drug effects , Testis/pathology , Testis/ultrastructure , Testosterone/blood
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