Diet quality is associated with reduced risk of hypertension among Inner Mongolia adults in northern China.

OBJECTIVE: The present study investigated the association between dietary patterns and hypertension applying the Chinese Dietary Balance Index-07 (DBI-07). DESIGN: A cross-sectional study on adult nutrition and chronic disease in Inner Mongolia. Dietary data were collected using 24 h recall over three consecutive days and weighing method. Dietary patterns were identified using principal components analysis. Generalized linear models and multivariate logistic regression models were used to examine the associations between DBI-07 and dietary patterns, and between dietary patterns and hypertension. SETTING: Inner Mongolia (n 1861). PARTICIPANTS: A representative sample of adults aged ≥18 years in Inner Mongolia. RESULTS: Four major dietary patterns were identified: 'high protein', 'traditional northern', 'modern' and 'condiments'. Generalized linear models showed higher factor scores in the 'high protein' pattern were associated with lower DBI-07 (ßLBS = -1·993, ßHBS = -0·206, ßDQD = -2·199; all P < 0·001); the opposite in the 'condiments' pattern (ßLBS = 0·967, ßHBS = 0·751, ßDQD = 1·718; all P < 0·001). OR for hypertension in the highest quartile of the 'high protein' pattern compared with the lowest was 0·374 (95 % CI 0·244, 0·573; Ptrend < 0·001) in males. OR for hypertension in the 'condiments' pattern was 1·663 (95 % CI 1·113, 2·483; Ptrend < 0·001) in males, 1·788 (95 % CI 1·155, 2·766; Ptrend < 0·001) in females. CONCLUSIONS: Our findings suggested a higher-quality dietary pattern evaluated by DBI-07 was related to decreased risk for hypertension, whereas a lower-quality dietary pattern was related to increased risk for hypertension in Inner Mongolia.

Association between diet quality and obesity indicators among the working-age adults in Inner Mongolia, Northern China: a cross-sectional study.

BACKGROUND: Obesity is a major risk factor for the global burden of disease in countries that are economically developed or not. This study aimed to investigate the association between diet quality and obesity indicators applying DASH and aMed. METHODS: This cross-sectional study on adult nutrition and chronic disease in Inner Mongolia (n = 1320). Dietary data were collected using 24-h diet recall for 3 consecutive days and weighing method. DASH and aMed were used to assess the dietary quality. WC, BMI and WC-BMI were used as obesity indicators. Logistic regression models were used to examine the associations between diet quality and obesity indicators. RESULTS: Higher diet quality, assessed by DASH, was only associated with WC. The odds ratio (OR) for abdominal obesity in the highest tertile of DASH scores compared with the lowest was 0.71 (95% confidence interval (CI) 0.53, 0.96; Ptrend = 0.03). Furthermore, aMed was inversely associated with obesity indicators. OR for abdominal obesity in the highest tertile of aMed score compared with the lowest were 0.63 (95% CI 0.47, 0.87; Ptrend = 0.005) and 0.57 (95% CI 0.41, 0.77; Ptrend = 0.02) for overweight and obesity, respectively, and 0.60 (95% CI 0.44, 0.81; Ptrend = 0.02) for high obesity risk. CONCLUSIONS: Our findings suggest that dietary quality assessed using aMed is more closely associated with obesity than assessment using DASH in working-age adults in Inner Mongolia. The Mediterranean diet can be recommended as a healthy diet to control weight.

The role of text messaging intervention in Inner Mongolia among patients with type 2 diabetes mellitus: a randomized controlled trial.

BACKGROUND: Short messages service (SMS) provides a practical medium for delivering content to address patients to adherence to self-management. The aim of study was to design some patient-centered health education messages, evaluate the feasibility of messages, and explore the effect of this model. METHODS: The messages were designed by a panel of experts, and SMS Quality Evaluation Questionnaire was used to evaluate their quality. A two-arm randomized controlled trial was conducted to evaluate the effectiveness of this management model. Participants were randomly divided into an intervention group (IG) who received evaluated messages and a control group (CG) who received regular education. The primary outcomes were changes in plasma glucose and control rates, and the secondary outcomes were improvements in diet control, physical activities, weight control, etc. RESULTS: A total of 42 messages covering five main domains: health awareness, diet control, physical activities, living habits and weight control were designed, and the average scores of the messages were 8.0 (SD 0.7), 8.5 (SD 0.6), 7.9 (SD 1.0), 8.0 (SD 0.7), and 8.4 (SD 0.9), respectively. In the SMS intervention, 171 patients with an average age of 55.1 years were involved, including 86 in the CG and 85 in the IG. At 12 months, compared with the control group (CG), the decrease of fasting plasma glucose (FPG) (1.5 vs. 0.4, P = 0.011) and control rate (49.4% vs. 33.3%, P = 0.034), the postprandial glucose (PPG) (5.8 vs. 4.2, P = 0.009) and control rate (57.8% vs. 33.7%, P = 0.002) were better in the intervention group (IG). In terms of self-management, improvements in weight control (49.3% vs. 28.2%, P = 0.031), vegetables consumption (87.3% vs. 29.0%, P < 0.001), fruits consumption (27.5% vs. 7.4%, P = 0.022), and physical activities (84.7% vs. 70.0%, P = 0.036) were better in the IG than in the CG. CONCLUSIONS: The overall quality of the messages was high. It was effective and feasible to carry out an SMS intervention to improve the behavioral habits of patients with chronic diseases in remote and undeveloped areas. TRIAL REGISTRATION: Clinicaltrials.gov, ChiCTR1900023445. Registered May 28, 2019--Retrospectively registered.

Spatiotemporal epidemiology of, and factors associated with, the tuberculosis prevalence in northern China, 2010-2014.

BACKGROUND: Tuberculosis (TB) is an important public health issue worldwide. However, evidence concerning the impact of environmental factors on TB is sparse. We performed a retrospective analysis to determine the spatiotemporal trends and geographic variations of, and the factors associated with, the TB prevalence in Inner Mongolia. METHODS: We performed a retrospective analysis of the epidemiology of TB. A Bayesian spatiotemporal model was used to investigate the spatiotemporal distribution and trends of the TB prevalence. A spatial panel data model was used to identify factors associated with the TB prevalence in the 101 counties of Inner Mongolia, using county-level aggregated data collected by the Inner Mongolia Center for Disease Control and Prevention. RESULTS: From January 2010 to December 2014, 79,466 (6.36‱) incident TB cases were recorded. The TB prevalence ranged from 4.97‱ (12,515/25,167,547) in 2014 to 7.49‱ (18,406/ 24,578,678) in 2010; the majority of TB cases were in males, and in those aged 46-60 years; by occupation, farmers and herdsmen were the most frequently affected. The Bayesian spatiotemporal model showed that the overall TB prevalence decreased linearly from 2010 to 2014 and occupation-stratified analyses yielded similar results, corroborating the reliability of the findings. The decrease of TB prevalence in the central-western and eastern regions was more rapid than that in the overall TB prevalence. A spatial correlation analysis showed spatial clustering of the TB prevalence from 2011 to 2014 (Moran's index > 0, P < 0.05); in the spatial panel data model, rural residence, birth rate, number of beds, population density, precipitation, air pressure, and sunshine duration were associated with the TB prevalence. CONCLUSIONS: The overall TB prevalence in Inner Mongolia decreased from 2010 to 2014; however, the incidence of TB was high throughout this period. The TB prevalence was influenced by a spatiotemporal interaction effect and was associated with epidemiological, healthcare, and environmental factors.

Mobile health in the management of type 1 diabetes: a systematic review and meta-analysis.

BACKGROUND: As an insulin-dependent disease, type 1 diabetes requires paying close attention to the glycemic control. Studies have shown that mobile health (mHealth) can improve the management of chronic diseases. However, the effectiveness of mHealth in controlling the glycemic control remains uncertain. The objective of this study was to carry out a systematic review and meta-analysis using the available literature reporting findings on mHealth interventions, which may improve the management of type 1 diabetes. METHODS: We performed a systematic literature review of all studies in the PubMed, Web of Science, and EMbase databases that used mHealth (including mobile phones) in diabetes care and reported glycated hemoglobin (HbA1c) values as a measure of glycemic control. The fixed effects model was used for this meta-analysis. RESULTS: This study analyzed eight studies, which involved a total of 602 participants. In the meta-analysis, the fixed effects model showed a statistically significant decrease in the mean of HbA1c in the intervention group: - 0.25 (95% confidence interval: - 0.41, - 0.09; P = 0.003, I2 = 12%). Subgroup analyses indicated that the patient's age, the type of intervention, and the duration of the intervention influenced blood glucose control. Funnel plots showed no publication bias. CONCLUSIONS: Mobile health interventions may be effective among patients with type 1 diabetes. A significant reduction in HbA1c levels was associated with adult age, the use of a mobile application, and the long-term duration of the intervention.

The effect characteristics of temperature on stroke mortality in Inner Mongolia and globally.

The current study investigated the correlation between stroke mortality and temperature. Monthly and seasonal variations in stroke mortality were plotted and daily stroke-related deaths were calculated. The lag times were calculated using the time series analysis. The correlation between stroke incidence and the diurnal temperature range (DTR) was analyzed using case-crossover analysis. Global stroke mortality was described in five latitudes. In the eastern region of Inner Mongolia, the stroke mortality was 174.18/105, about twice of that of the midwestern regions (87.07/105), and temperature was negatively correlated with stroke mortality. Mortality peaked in the winter and troughed in the summer (χ2 = 13.634, P < 0.001). The days in which stroke-related deaths were greater than ten occurred between late October and early April. The effect of temperature on stroke incidence occurred during a lag time of 1 (P = 0.024) or 2 months (P = 0.039). A DTR over 13 °C was positively correlated (r = 0.95, P = 0.004) with stroke with a lag time of 1 day. The effect of temperature on stroke was shown to be the same for various populations. As the latitude increases, stroke mortality also increases with latitudes > 40°; the highest mortality was 188.05/105 at the highest latitude. Only in relatively cold regions as the temperature decreases does stroke mortality increase for various populations. Differences in the time lag as well as in the DTR lag and DTR critical point vary for both the temperature and region.

Self-reported hypertension in Northern China: a cross-sectional study of a risk prediction model and age trends.

BACKGROUND: Hypertension is a major risk factor for the global burden of disease, particularly in countries that are not economically developed. This study aimed to evaluate risk factors associated with self-reported hypertension among residents of Inner Mongolia using a cross-sectional study and to explore trends in the rate of self-reported hypertension. METHODS: Multi-stage stratified cluster sampling was used to survey 13,554 participants aged more than 15 years residing in Inner Mongolia for the 2013 Fifth Health Service Survey. Hypertension was self-reported based on a past diagnosis of hypertension and current use of antihypertensive medication. Adjusted odds risks (ORs) of self-reported hypertension were derived for each independent risk factor including basic socio-demographic and clinical factors using multivariable logistic regression. An optimized risk score model was used to assess the risk and determine the predictive power of risk factors on self-reported hypertension among Inner Mongolia residents. RESULTS: During study period, self-reported hypertension prevalence was 19.0% (2571/13,554). In multivariable analyses, both female and minority groups were estimated to be associated with increased risk of self-reported hypertension, adjusted ORs (95% CI) were 1.22 (1.08, 1.37) and 1.66 (1.29, 2.13) for other minority compared with Han, increased risk of self-reported hypertension prevalence was associated with age, marital status, drinking, BMI, and comorbidity. In the analyses calculated risk score by regression coefficients, old age (≥71) had a score of 12, which was highest among all examined factors. The predicted probability of self-reported hypertension was positively associated with risk score. Of 13,421 participants with complete data, 284 had a risk score greater than 20, which corresponded to a high estimated probability of self-reported hypertension (≥67%). CONCLUSIONS: Self-reported hypertension was largely related to multiple clinical and socio-demographic factors. An optimized risk score model can effectively predict self-reported hypertension. Understanding these factors and assessing the risk score model can help to identify the high-risk groups, especially in areas with multi-ethnic populations.

De-escalation techniques for psychosis-induced aggression or agitation.

BACKGROUND: Aggression is a disposition, a willingness to inflict harm, regardless of whether this is behaviourally or verbally expressed and regardless of whether physical harm is sustained.De-escalation is a psychosocial intervention for managing people with disturbed or aggressive behaviour. Secondary management strategies such as rapid tranquillisation, physical intervention and seclusion should only be considered once de-escalation and other strategies have failed to calm the service user. OBJECTIVES: To investigate the effects of de-escalation techniques in the short-term management of aggression or agitation thought or likely to be due to psychosis. SEARCH METHODS: We searched Cochrane Schizophrenia Group's Study-Based Register of Trials (latest search 7 April, 2016). SELECTION CRITERIA: Randomised controlled trials using de-escalation techniques for the short-term management of aggressive or agitated behaviour. We planned to include trials involving adults (at least 18 years) with a potential for aggressive behaviour due to psychosis, from those in a psychiatric setting to those possibly under the influence of alcohol or drugs and/or as part of an acute setting as well. We planned to include trials meeting our inclusion criteria that provided useful data. DATA COLLECTION AND ANALYSIS: We used the standard methodological procedures expected by Cochrane. Two review authors inspected all abstracts of studies identified by the search process. As we were unable to include any studies, we could not perform data extraction and analysis. MAIN RESULTS: Of the 345 citations that were identified using the search strategies, we found only one reference to be potentially suitable for further inspection. However, after viewing the full text, it was excluded as it was not a randomised controlled trial. AUTHORS' CONCLUSIONS: Using de-escalation techniques for people with psychosis induced aggression or agitation appears to be accepted as good clinical practice but is not supported by evidence from randomised trials. It is unclear why it has remained such an under-researched area. Conducting trials in this area could be influenced by funding flow, ethical concerns - justified or not - anticipated pace of recruitment as well the difficulty in accurately quantifying the effects of de-escalation itself. With supportive funders and ethics committees, imaginative trialists, clinicians and service-user groups and wide collaboration this dearth of randomised research could be addressed.

Prevalence of and Factors Associated with Myopia in Inner Mongolia Medical Students in China, a cross-sectional study.

BACKGROUND: To further explore characteristics of myopia and changes in factors associated with myopia among students at Inner Mongolia Medical University. METHODS: Two cross-sectional censuses were conducted in 2011 and 2013. Participants were medical students residing on campus in 2011 and 2013. Logistic regression analysis was performed to ascertain associations with basic information, genetic factors, environmental factors. The χ2 test was used to test for differences in prevalence between 2011 and 2013. Prevalence was calculated at various myopia occurrence times among different parental myopia statuses. RESULTS: A total of 11,138 students enrolled from 2007 to 2012 completed the questionnaire. The prevalence of myopia in 2011 and 2013 was 70.50% and 69.21%, respectively, no statistically significant difference existed between the two censuses (p = 0.12). Both censuses were completed by 1015 students. There were no differences among the various year of study in 2011 or 2013. Myopic prevalence increased with an increased number of myopic parents: the prevalence if both parents were myopic was over 90%, nearly 80% if one parent was myopic, and less than 70% with non-myopic parents (p < 0.001). Myopic occurrence ranked from earliest to latest was in kindergarten and primary school when both parents were myopic, in middle school when one parent was myopic, and in university when no parent was myopic. Students staying up late, using a computer more than 3 h per day, not performing eye exercises, using eye drops, and rubbing the eyes at high risk for myopia. CONCLUSIONS: Myopic status was stable during the university period. Genetic factors play a major role in myopia. Protective measures are useful for university students.

Analysis of mortality in individuals over 60 years of age in inner Mongolia between 2008 and 2012.

Our study was designed to determine the cause of death in people over 60 years of age in Inner Mongolia. We performed quantitative analysis of mortality rate, with a special focus on the population characteristics in the Inner Mongolia region of China to provide a reference for future studies. Data were obtained from the Centers for Disease Control from six monitoring points of Death Registry System (DRS) in Inner Mongolia, covering the period 2008-2012 years. We calculated the crude mortality rate over five years, as well as the causes of death and potential-years of life lost (PYLL) by gender over the same time period. We also calculated the crude mortality across different age-specific groups, and analyzed cause of death across these groups. Between 2008 and 2012, the crude mortality rate of individuals in Inner Mongolia aged 60 years or older was 3366,73 /100 000. The crude mortality rate was higher among males (4158,68/100 000) than among females (2633,22/100 000), resulting in a male-female mortality ratio of 1,58 and a total PYLL of 48 968 person-years for males and females combined. Diseases of the circulatory system were the greatest contributor to mortality (1978,50/100 000) and PYLL (25 700 person-years).The frequency of deaths due to diseases of the circulatory and respiratory systems increased with age, while the proportion of neoplasms declined with age. The mortality of individuals in Inner Mongolia over 60 years of age is moderate compared with studies of other Chinese populations. Diseases of the circulatory system, neoplasms, and diseases of the respiratory system were the leading causes of death. We therefore recommend that healthy lifestyle choices be advocated among the elderly to reduce the incidence of chronic, non-communicable diseases.

Decomposition Analysis of Depressive Symptom Differences Among Older Adults With Hypertension Between Urban and Rural Areas: Cross-Sectional Study.

Background: Hypertension is the most prevalent chronic disease among China's older population, which comprises a growing proportion of the overall demographic. Older individuals with chronic diseases have a higher risk of developing depressive symptoms than their healthy counterparts, as evidenced in China's older population, where patients with hypertension exhibit varying rates of depression depending on residing in urban or rural areas. Objective: This study aimed to investigate factors influencing and contributing to the disparities in depressive symptoms among older urban and rural patients with hypertension in China. Methods: We used a cross-sectional study design and derived data from the 8th Chinese Longitudinal Health Longevity Survey of 2018. The Fairlie model was applied to analyze the factors contributing to disparities in depressive symptoms between urban and rural older populations with hypertension. Results: The sample size for this study was 5210, and 12.8% (n=669) of participants exhibited depressive symptoms. The proportions of depressive symptoms in rural and urban areas were 14.1% (n=468) and 10.7% (n=201), respectively. In rural areas, years of education (1-6 years: odds ratio [OR] 0.68, 95% CI 1.10-1.21; ≥7 years: OR 0.47, 95% CI 0.24-0.94), alcohol consumption (yes: OR 0.52, 95% CI 0.29-0.93), exercise (yes: OR 0.78, 95% CI 0.56-1.08), and sleep duration (6.0-7.9 hours: OR 0.29, 95% CI 0.17-0.52; 8.0-9.9 hours: OR 0.24, 95% CI 0.13-0.43; ≥10.0 hours: OR 0.22, 95% CI 0.11-0.41) were protective factors against depressive symptoms in older adults with hypertension, while gender (female: OR 1.94, 95% CI 1.33-2.81), self-reported income status (poor: OR 3.07, 95% CI 2.16-4.37), and activities of daily living (ADL) dysfunction (mild: OR 1.69, 95% CI 1.11-2.58; severe: OR 3.03, 95% CI 1.46-6.32) were risk factors. In urban areas, age (90-99 years: OR 0.37, 95% CI 0.16-0.81; ≥100 years: OR 0.19, 95% CI 0.06-0.66), exercise (yes: OR 0.33, 95% CI 0.22-0.51), and sleep duration (6.0-7.9 hours: OR 0.27, 95% CI 0.10-0.71; 8.0-9.9 hours: OR 0.16, 95% CI 0.06-0.44; ≥10.0 hours: OR 0.18, 95% CI 0.06-0.57) were protective factors, while years of education (1-6 years: OR 1.91, 95% CI 1.05-3.49), self-reported income status (poor: OR 2.94, 95% CI 1.43-6.08), and ADL dysfunction (mild: OR 2.38, 95% CI 1.39-4.06; severe: OR 3.26, 95% CI 1.21-8.76) were risk factors. The Fairlie model revealed that 91.61% of differences in depressive symptoms could be explained by covariates, including years of education (contribution 63.1%), self-reported income status (contribution 13.2%), exercise (contribution 45.7%), sleep duration (contribution 20.8%), ADL dysfunction (contribution -9.6%), and comorbidities (contribution -22.9%). Conclusions: Older patients with hypertension in rural areas had more depressive symptoms than their counterparts residing in urban areas, which could be explained by years of education, self-reported income status, exercise, sleep duration, ADL dysfunction, and comorbidities. Factors influencing depressive symptoms had similarities regarding exercise, sleep duration, self-reported income status, and ADL dysfunction as well as differences regarding age, gender, years of education, and alcohol consumption.

Gender differences in depressive symptoms among Chinese older adults based on fairlie decomposition analysis.

This study aimed to investigate the factors influencing depressive symptoms among Chinese older adults based on gender differences. Data from the eighth wave of Chinese Longitudinal Health Longevity Survey were used. We analyzed the influencing factors of depressive symptoms reported by older adults using the chi-squared test and logistic model. Fairlie decomposition analysis was performed to quantify the contribution level of each influencing factor. We found that 11.71 % of older adults met the CES-D-10 criteria for depressive symptoms. Females (13.89 %) reported a significantly higher level of depressive symptoms than males (9.24 %). Age, residence, sleeping time, exercise, activities of daily living functional disability, instrumental activity of daily living functional disability, and living status influenced depressive symptoms in older adults. Higher education and lower body mass index were only significant in male, whereas middle annual income and exercising were significant only in female. The Fairlie decomposition model explained the reasons for 75.64 % of the gender differences in depressive symptoms, with instrumental activity of daily living functional disability (33.60 %), age (-17.79 %), and education level (17.41 %) being major factors affecting gender differences in depressive symptoms. This is the first nationwide study to examine gender differences in depressive symptoms among older adults. These results provide a basis for relevant Chinese government departments to formulate policies to prevent and control depressive symptoms.

Decomposition and comparative analysis of depressive symptoms between older adults living alone and with others in China.

Objective: This research dealt with investigating and measuring the contribution of the factors that impact depression in older adults living alone vs. those living with others (hereafter referred to as "not alone") in China. Design: This investigation adopts a cross-sectional research design. The dataset employed for this study comprises data from 2018 the Chinese Longitudinal Health Longevity Survey (CLHLS). Setting: The research involved data sourced from China, specifically from 23 of its provinces. From the 8th CLHLS, 12,197 older adults were selected who met the study requirements. Measures: Binary logistic regression models were established to delve into the primary factors impacting the depressive symptoms of the individuals. Furthermore, Fairlie models were employed to assess these factors between older adults living alone and those not living alone. This approach facilitated an in-depth analysis of their respective contributions. Results: It was observed that the demographic of Chinese older adults exhibited depressive symptoms at a rate of 11.92%. Older adults who resided alone (15.76%) exhibited a higher prevalence of depressive symptoms in comparison to their counterparts living in not-alone settings (11.15%). Employing Fairlie decomposition analysis, it was determined that this observed disparity in depressive symptoms, amounting to 55.33% of the overall difference, could be primarily attributed to distinct factors. This encompassed variance in marital status (20.55%), years of school (4.63%), self-reported local income status (7.25%), self-reported sleep status (17.56%), and self-reported health status (4.24%). Conclusion: The resulting data indicated that depressive symptoms exhibited an elevated prevalence in older adults living alone than in those living not alone. This discrepancy was predominantly attributed to variance in socioeconomic marital status, years of school, self-reported local income status, self-reported sleep status, and self-reported health status by living alone vs. not alone. Mitigating these influential factors could help develop targeted and meticulous intervention strategies, precisely tailored to improve the mental well-being of older adults at high risk.

Decomposition analysis of health inequalities between the urban and rural oldest-old populations in China: Evidence from a national survey.

The number of Chinese oldest-old (aged 80+) is growing rapidly and some studies have shown that the health status is unequal among older persons in different regions. However, to the best of our knowledge, no study to date has analyzed health inequalities among the oldest-old in urban and rural areas in China. This study therefore aimed to examine the correlation between health inequalities among the oldest-old in urban and rural areas of China. From the 8th wave of the Chinese Longitudinal Health Longevity Survey (CLHLS), we selected 8124 oldest-old participants who met the requirements of the study. Chi-square tests were used to analyze the distribution characteristics of indicators and a logistic model was performed to determine the factors associated with different self-rated health (SRH). The Fairlie model was adopted to decompose the causes and related contributions to health inequality. Our results found that of the Chinese oldest-old, 46.57% were in good health. Urban residents reported significantly better SRH than rural residents (50.17% vs. 45.13%). Variables associated with good and poor SRH had different distribution characteristics. The logistic model suggested that marital status, alcohol consumption, and annual income were important factors underlying the SRH differences. Our decomposition analysis indicated that 76.64% of the SRH differences were caused by observational factors, and validated that the difference in SRH between urban and rural areas was significantly (P<0.05) associated with exercise status (45.44%), annual income (37.64%), social activity status (3.75%), age (-5.27%), and alcohol consumption (-2.66%). Therefore, socioeconomic status and individual lifestyle status were the main factors underlying the health inequality between urban and rural Chinese oldest-old.

Decomposition and Comparative Analysis of the Prevalence of and Factors Associated With Smoking Between the Rural and Urban Elderly Population in China: A National Cross-Sectional Study.

This study aimed to compare and analyse the differences in smoking prevalence, and knowledge, attitudes, and factors associated with smoking between the rural and urban elderly population in China. In total, 6,966 participants aged 60 and above were included in this study, which assessed their smoking-related knowledge, attitudes, and perceptions toward tobacco control. The Chi-square test and logistic regression model were used for statistical analysis, and the Fairlie model was used for decomposition analysis. The overall prevalence of smoking was 25.6%; the rate was much higher in men than in women (overall: OR = 26.234; urban: OR = 31.260; rural: OR = 23.889). The rate of correct responses to all questions on smoking problems was significantly higher among the urban elderly than the rural elderly. Further, 64.18% of the participants supported printing photos of the health hazards of smoking on the cover of cigarette packs, and the rural elderly were more supportive of this. Moreover, only 36.52% of the participants supported increasing taxation and retail price of cigarettes; the urban elderly showed more support for this. Rules about smoking at home also played an important role, especially for families where smoking was not allowed at home, but with exceptions to the rule; however, this factor was only meaningful in urban families (urban: OR = 0.117). Through the Fairlie decomposition analysis, gender (-1.62%), age (-2.03%), region (13.68%), knowing about e-cigarettes (5.17%), rules about smoking at home (3.95%), and smoking-related knowledge scores (42.85%) were found to be associated with rural-urban disparities. This study focused on the differences in smoking between urban and rural areas in China. Smoking among the urban elderly was significantly less prevalent compared with the rural population. Factors including education, region, and smoking-related knowledge need to be addressed to reduce the gap between urban and rural health hazards in China.

Spatiotemporal distribution of human brucellosis in Inner Mongolia, China, in 2010-2015, and influencing factors.

Human brucellosis is caused by Brucella species and remains a major burden in both human and domesticated animal populations, especially in Inner Mongolia, China. The aims of this study were to analyze the spatiotemporal trends in human brucellosis in Inner Mongolia during 2010 to 2015, to explore the factors affecting the incidence of brucellosis. The results showed that the annual incidence was 29.68-77.67 per 100,000, and peaked from March to June. The majority of human brucellosis was male farmers and herdsmen, aged 40-59 years. The high-risk areas were mainly Xilin Gol League and Hulunbeier City. The incidence of human brucellosis in Inner Mongolia decreased during 2010 to 2015, although the middle and eastern regions were still high-risk areas. The regions with larger number of sheep and cattle, lower GDP per capita, less number of hospital beds, higher wind speed, lower mean temperature more likely to become high-risk areas of human brucellosis.

The Association between Socioeconomic Status, Smoking, and Chronic Disease in Inner Mongolia in Northern China.

The interactive associations of socioeconomic status (SES) and smoking with chronic disease were investigated with a view to expanding the evidence to inform tobacco policies and interventions in Northern China. The fifth NHSS (National Health Service Survey) 2013 in Inner Mongolia was a population-based survey of national residents, aged 15 years and older, in which multi-stage stratified cluster sampling methods were used to survey 13,554 residents. The SES was measured by scores derived from levels of education level and household annual income. Multivariate logistic regression models were performed to determine the association between SES, smoking, and chronic disease adjusted by confounders. Three thousand nine hundred and thirty-seven residents (32.29%) were identified as current smokers and 3520 residents (26.01%) had been diagnosed with chronic diseases. In the males, former smoking with low SES had the highest risk of one chronic disease, with an odds ratio (OR) of 2.505 (95% confidence interval [95% CI] (OR = 2.505, 95% CI: 1.635⁻3.837) or multiple chronic diseases (OR = 2.631, 95% CI: 1.321⁻5.243). In the females, current smoking with low SES had the highest risk of one chronic disease (OR = 3.044, 95% CI: 2.158⁻4.292). The conclusion of this study was that residents with combined ever-smoking and low SES deserved more attention in the prevention and control of chronic disease.

The waterfall pattern of suicide mortality in Inner Mongolia for 2008-2015.

AIM: This study aims to determine the characteristics and severity of suicide mortality in Inner Mongolia between 2008 and 2015. METHODS: The death data between 2008 and 2015 was collected from the Death Registry System,1 and the suicide mortality were calculated. Suicide mortality for total of eight years and two periods (2008-2011 and 2012-2015) were tested by the X2-test. Logistic regression analysis was used to test the risk of suicide between these two observation periods by gender and region. The age-specific suicide mortality was displayed through a semi-logarithmic line chart using Pearson's correlation coefficients. Then, the prohibited pesticides and proportion of organophosphorus pesticides were calculated. RESULTS: The suicide mortality (7.20/105) in 2008-2011 was higher than the suicide mortality (4.84/105) in 2012-2015 (X2 = 62.28, P = 0.00). Intentional self-poisoning by and exposure to pesticides2 and intentional self-harm by hanging3 were the two main ways of suicide, accounting for nearly 80%. The all-cause suicide mortality increased with age (r = 0.837, P = 0.005) in 2008-2011 and (r = 0.863, P = 0.003) in 2012-2015, and suicide mortality was higher in males than in females. LIMITATION: The DRS did not provide the pesticides used by people who committed suicide by pesticide poisoning. CONCLUSION: Suicide mortality dropped like a waterfall in Inner Mongolia between 2008 and 2015, and the most obvious drop was pesticide suicide.The general drop in suicide mortality, especially the drop in pesticide poisoning suicide mortality, may be attributable to social policies that benefited the residents and the prohibition of selected pesticides. Favorable policies can effectively decrease suicide mortality.

Effects of occupation on intracerebral hemorrhage-related deaths in Inner Mongolia.

This study assessed the relationship between occupation and Intracerebral Hemorrhage-related deaths and compared the differences in ICH-related deaths rates between the eastern and midwestern regions of Inner Mongolia. We used the case-control method. Cases included Intracerebral Hemorrhage-related deaths that occurred from 2009 to 2012 in Inner Mongolia while controls included non-circulatory system disease deaths that occurred during the same period. Odds ratios (ORs) for Intracerebral Hemorrhage-related deaths were calculated using logistic regression analysis, estimated according to occupation, and adjusted for marital status and age. The Intracerebral Hemorrhage mortality rate in the eastern regions (125.19/100000) was nearly 3 times higher than that in the midwestern regions (45.31/100000). ORs for agriculture-livestock workers, service professionals and general workers, professional workers and senior officials were in descending order. The age-adjusted OR for Intracerebral Hemorrhage-related deaths was lowest in unmarried men senior officials (OR 0.37, 95% CI 0.14-0.99). The Intracerebral Hemorrhage mortality rate in the eastern regions was much higher than that of the midwestern regions, since about 90% of Intracerebral Hemorrhage-related deaths in the eastern regions were those of agriculture-livestock workers who has the largest labor intensity of any other occupation assessed.

Observation of the Breeding Behavior of the Chinese Giant Salamander (Andrias davidianus) Using a Digital Monitoring System.

Knowledge of natural animal behavior is essential for enhancing the protection and artificial breeding of animals. At present, the behavior of the Chinese giant salamander (Andrias davidianus) is studied through interviews with local people or occasional observations under artificial conditions, leading to a lack of systematic records. Thus, most reports are descriptive and lack quantitative analyses. To ascertain the types of reproductive activities and their corresponding time allocations, this study observed the reproductive behavior of A. davidianus using a digital monitoring system for the first time. The results showed that sand-pushing behavior is mainly carried out by the limbs, tail, head, and body of den-dominant males. Showering behaviors included rinsing the trunk, head, and tail. Courtship was composed of a series of behaviors, including standing side-by-side, belly colliding, mounting, mouth-to-mouth posturing, chasing, inviting, cohabitating, and rolling over. After chasing and interlocking with the male, the female discharged her eggs. The oviposition process began at either 02:04 or 04:09, and lasted either 66 or 182 min. Parental care included tail fanning, agitation, shaking, and eating dead and unfertilized eggs, and the durations of these behaviors accounted for 31.74 ± 4.35%, 17.42 ± 4.00%, 3.85 ± 1.18%, and 1.19 ± 0.69% of the entire incubation period, respectively. This paper reveals the characteristics of the reproductive behavior of A. davidianus and provides a scientific basis for the management of its ecological breeding and the conservation of its wild populations.