OBJECTIVE: To explore the relationship between urbanization and residents ' health behaviors in China, and to clarify the impact of urbanization on health behaviors. METHODS: Based on China Health and Retirement Longitudinal Study (CHARLS), we established a panel data fixed effect model tracked in 2011, 2013 and 2015 to analyze the effect of urbanization level on smoking cessation, drinking, sleep quality and physical exercise behavior. The ratio of population density, gross domestic product (GDP) per capita and output value of secondary and tertiary industries to GDP were used to represent the levels of urbanization. RESULTS: From 2011 to 2015, China ' s urbanization levels showed an increasing trend, which showed that the ratio of population density, GDP per capita and output value of secondary and tertiary industries in GDP increased year by year. Smoking cessation increased with the increase of GDP per capita and the proportion of the output value of secondary and tertiary industries. Compared with the low-level, the drinking rate in the regions with per capita GDP of more than 45 000 yuan increased by 2.49%, and the drinking rate in the regions with secondary and tertiary industries for 80%-85% decreased by 2.48%. However, there was no significant difference with population density. The sleep quality decreased with the increase of per capita GDP. In regions where per capita GDP was more than 93%, the sleep quality decreased by 3.71% compared with the low-level which was not significantly different from the ratio of population density and the output value of secondary and tertiary industries. For low contrast, the exercise rate in regions with the population density of 400-600 people/km² and over 800 people/km² was reduced by 5.2% and 7.7% respectively. The exercise rate in regions with per capita GDP of 25 000-35 000 yuan and over 45 000 yuan was reduced by 3.26% and 3.73% respectively. The exercise rate in regions with secondary and tertiary industries accounting for more than 93% of GDP was 10.68% lower than that of the low-level regions. CONCLUSION Different dimensions of urbanization have different impacts on different health behaviors. The smoking cessation rate increases with the increase of urbanization level, which is related to the proportion of per capita GDP and the output value of secondary and tertiary industries. The exercise rate, related to the three dimensions, decreases with the increase of urbanization. Sleep quality is more closely related to per capita GDP, and the probability of good sleep quality decreases with the increase of urbanization level. However, there is no obvious trend between drinking rate and urbanization level, which needs further study.
China/epidemiology* ; Empirical Research ; Health Behavior ; Humans ; Longitudinal Studies ; Retirement ; Urbanization

Objective: To investigate the prevalence of allergic rhinitis (AR) in 3 central cities (Chifeng, Hohhot, Ordos) and the surrounding rural areas of Inner Mongolia region, and to look for possible risk factors related to the disease. Methods: From March to October of 2019, a multi-stage stratified random sampling epidemiological survey was conducted in Chifeng, Hohhot, Ordos and rural areas. The AR-related factors of the population were obtained in the form of face-to-face questionnaire survey, and the skin prick test (SPT) was taken for the participants. AR disease was diagnosed according to the "Guidelines for the Diagnosis and Treatment of Allergic Rhinitis (2015, Tianjin)". The daily airborne pollen situation in the three regions was monitored during the same period. SPSS 23.0 was used to analyze all survey results. Results: A total of 6 818 questionnaires were recovered, with 6 393 valid questionnaires. The self-reported prevalence of AR was 27.72% (1 772/6 393) and the confirmed prevalence of AR was 17.10% (1 093/6 393). The prevalence of perennial AR was 1.83% (117/6 393) while the prevalence of seasonal AR was 15.27% (976/6 393). The prevalence of AR diagnosed in females was higher than that in males (19.19% vs 15.34%, χ²=16.594, P<0.001) and the prevalence of females in the two age groups of 36-45 years and 46-55 years was significantly higher than that of males (18.17% vs 9.73%, 14.13% vs 7.25%, χ² value was 23.848, 18.772, respectively, all P<0.001). The prevalence of confirmed diagnoses in ethnic minorities was higher than that of Han nationality, and the prevalence of confirmed diagnoses in urban areas was higher than that in rural areas (23.13% vs 16.20%, 27.27% vs 9.71%, χ² value was 24.516, 336.024, respectively, all P<0.001). The main nasal symptoms of AR patients were sneezing (91.31%), nasal congestion (85.91%) and nasal itching (85.00%). The most common concomitant disease of AR was allergic conjunctivitis (73.99%). Asthma (OR=6.629), food allergy (OR=3.236), drug allergy (OR=1.786), application of antibiotics (OR=1.553), recent home decoration (OR=2.307), and smoking (OR=1.322) were the AR related risk factors. The highest proportion of SPT positive reactions was Artemisia annua (80.15%). The peak period of clinical symptoms of AR patients in Inner Mongolia region was July to September, which was consistent with the second peak period of airborne pollen monitoring. Conclusions: The prevalence of AR in central cities and the surrounding rural areas of Inner Mongolia region is 17.10%, and Artemisia species is the most important pollen allergen in this area. History of asthma, food allergy, drug allergy, antibiotic use, home decoration and smoking history are the related risk factors for AR.
Adult ; Allergens ; China/epidemiology* ; Female ; Humans ; Male ; Middle Aged ; Pollen ; Prevalence ; Rhinitis, Allergic/epidemiology* ; Rhinitis, Allergic, Seasonal ; Urbanization

Objective: This study aims to explore trends in sedentary behavior among Chinese children aged 6-17 years per demographic and social characteristics. Methods: A total of 4,341 children aged 6-17 years who participated in the Results: From 2004 to 2015, sedentary time among children aged 6-17 years increased from 23.9 ± 0.6 h/week to 25.7 ± 0.6 h/week ( Conclusions Sedentary time among Chinese children aged 6-17 years showed an upward trend from 2004 to 2015, especially among children residing in rural areas and regions with low urbanization levels.
Adolescent ; Asian Continental Ancestry Group ; Child ; China ; Female ; Health Surveys ; Humans ; Male ; Sedentary Behavior ; Socioeconomic Factors ; Urbanization

An increase in the prevalence of dyslipidemia has been strongly associated with the mortality rate of cardiovascular disease. We conducted a cross-sectional analysis to determine the relationship between dietary patterns and dyslipidemia in adult men aged 40–64 years. A total of 5,643 subjects from the Korean Genome and Epidemiology Study (KoGES) were selected for the final analysis. We analyzed 24-hour dietary recall data. Using principal component analysis, 3 dietary patterns were identified: rice based Korean food pattern, flour based western dietary pattern, and convenience food dietary pattern. The flour based western dietary pattern was significantly and positively associated with total cholesterol, and low density lipoprotein (LDL) cholesterol (p for trend < 0.05). With regard to the rice based Korean food pattern, the group with the highest factor score had a significantly lower risk of hyper LDL cholesterolemia (odds ratio [OR], 0.802; 95% confidence interval [CI], 0.698–0.922) and high total cholesterol levels (OR, 0.868; 95% CI, 0.761–0.990) than the group with the lowest factor score. For the flour based western dietary pattern the group with the highest factor score showed a significantly high risk of hyper LDL cholesterolemia (OR, 1.189; 95% CI, 1.033–1.367; p for trend < 0.05) than the group with the lowest factor score. Our results showed that the rice based Korean food pattern protected against dyslipidemia. In contrast, the western staple pattern, which is rich in flour and processed foods, was independently associated with dyslipidemia in urban male residents of Korea.
Adult ; Cardiovascular Diseases ; Cholesterol ; Cross-Sectional Studies ; Diet ; Diet, Western ; Dyslipidemias ; Epidemiology ; Fast Foods ; Flour ; Genome ; Humans ; Korea ; Lipoproteins ; Male ; Mortality ; Prevalence ; Principal Component Analysis ; Urbanization

OBJECTIVES: Tuberculosis (TB) is a global public health problem that causes morbidity and mortality in millions of people per year. The purpose of this study was to examine the relationship of potential risk factors with TB mortality in Iran. METHODS: This cross-sectional study was performed on 9,151 patients with TB from March 2017 to March 2018 in Iran. Data were gathered from all 429 counties of Iran by the Ministry of Health and Medical Education and Statistical Center of Iran. In this study, a generalized estimating equation-based zero-inflated negative binomial model was used to determine the effect of related factors on TB mortality at the community level. For data analysis, R version 3.4.2 was used with the relevant packages. RESULTS: The risk of mortality from TB was found to increase with the unemployment rate (β^=0.02), illiteracy (β^=0.04), household density per residential unit (β^=1.29), distance between the center of the county and the provincial capital (β^=0.03), and urbanization (β^=0.81). The following other risk factors for TB mortality were identified: diabetes (β^=0.02), human immunodeficiency virus infection (β^=0.04), infection with TB in the most recent 2 years (β^=0.07), injection drug use (β^=0.07), long-term corticosteroid use (β^=0.09), malignant diseases (β^=0.09), chronic kidney disease (β^=0.32), gastrectomy (β^=0.50), chronic malnutrition (β^=0.38), and a body mass index more than 10% under the ideal weight (β^=0.01). However, silicosis had no effect. CONCLUSIONS: The results of this study provide useful information on risk factors for mortality from TB.
Body Mass Index ; Cross-Sectional Studies ; Education, Medical ; Family Characteristics ; Gastrectomy ; HIV ; Humans ; Iran ; Literacy ; Malnutrition ; Models, Statistical ; Mortality ; Public Health ; Renal Insufficiency, Chronic ; Risk Factors ; Silicosis ; Statistics as Topic ; Tuberculosis ; Unemployment ; Urbanization

OBJECTIVES: While the prevalence of obesity in Asian women has remained stagnant, studies of socioeconomic inequalities in obesity among Asian women are scarce. This study aimed to examine the recent prevalence of obesity in Korean women aged between 19 years and 79 years and to analyze socioeconomic inequalities in obesity. METHODS: Data were derived from the 2016 Korean Study of Women’s Health-Related Issues. The chi-square test and logistic regression analysis were used to analyze the associations between socioeconomic factors and obesity using Asian standard body mass index (BMI) categories: low (<18.5 kg/m²), normal (18.5-22.9 kg/m²), overweight (23.0-24.9 kg/m²), and obese (≥25.0 kg/m²). As inequality-specific indicators, the slope index of inequality (SII) and relative index of inequality (RII) were calculated, with adjustment for age and self-reported health status.
Asian Continental Ancestry Group ; Body Mass Index ; Family Characteristics ; Female ; Humans ; Logistic Models ; Obesity ; Overweight ; Prevalence ; Socioeconomic Factors ; Thinness ; Urbanization

BACKGROUND: Since 2003, Korea has consistently shown the highest suicide rate among the Organization for Economic Cooperation and Development countries, and suicide remains the major cause of death. In particular, men are 2–3 times more likely to commit suicide than women, which called the ‘gender paradox of suicide.’ The areas with frequent suicide have spatially clustered patterns because suicide with a social contagion spreads around the neighborhood. The purpose of this study was twofold. The first was to estimate the hotspot areas of age-standardized male suicide mortality from 2008 to 2015. The second was to analyze the relationship between the hotspot areas and the regional characteristics for study years. METHODS: The data was collected through the Korean Statistical Information Service. The study areas were 227 si · gun · gu administrative districts in Korea. The hotspot area was used as a dependent variable. Socio-demographic variables (number of marriages per 1,000 population, number of divorces per 1,000 population, and urbanization rate), financial variables (financial independence and social security budget), and health behaviors (EuroQol-5 dimension [EQ-5D], and depression experience rate) were used as independents variables. RESULTS: The hotspot areas were commonly located in Gangwon-do, Chungcheongnam-do, Gyeongsangbuk-do, and Chungceongbuk-do. According to the results of panel logit regression, the number of divorces per 1,000 population, social security budget, and EQ-5D were statistically significant variables. CONCLUSION: The results of hotspot analysis showed the need for establishing a prevention zone of suicide using hotspot areas. Also, medical resources could be considered to be preferentially placed in the prevention zone of suicide. This study could be used as basic data for health policymakers to establish a suicide-related policy.
Budgets ; Cause of Death ; Chungcheongnam-do ; Depression ; Divorce ; Female ; Gangwon-do ; Geographic Information Systems ; Gyeongsangbuk-do ; Health Behavior ; Humans ; Information Services ; Korea ; Male ; Marriage ; Mortality ; Organisation for Economic Co-Operation and Development ; Residence Characteristics ; Social Security ; Suicide ; Urbanization

OBJECTIVE: Uterine myoma which results in the magnitude of ovarian cancer remains uncertain. This study aimed to assess the association between women with previous uterine myoma and the risk of ovarian cancer. METHODS: This population-based case-control study was conducted using the Taiwan National Health Insurance Research Database between 2006 and 2010. We identified 4,088 adult women with newly diagnosed ovarian cancer with 16,348 women without ovarian cancer matched for age, urbanization level, income and initial diagnosis date. Logistic regression analyses were used to evaluate the variables associated with ovarian cancer. In addition, the effect of surgical interventions on the risk of ovarian cancer was also evaluated. RESULTS: Women with previous uterine myoma were more likely than those who did not to have ovarian cancer (adjusted odds ratio [aOR]=2.26; 95% confidence interval [CI]=2.06−2.49). Patients with uterine myoma who either received (aOR=1.79; 95% CI=1.51−2.13) or did not receive hormone replacement therapy (aOR=2.51; 95% CI=2.24−2.82) experienced a significantly higher risk of ovarian cancer than those without uterine myoma, respectively. However, patients with uterine myoma who underwent either myomectomy (aOR=0.55; 95% CI=0.39−0.77) or hysterectomy (aOR=0.33; 95% CI=0.26−0.42) had a significantly lower risk of ovarian cancer. CONCLUSION: The results revealed that a significantly higher risk of ovarian cancer in women with previous uterine myoma, through an indirect mechanism. Furthermore, a lower risk of ovarian cancer was observed in women who underwent surgical removal of the uterine myoma.
Adult ; Case-Control Studies ; Diagnosis ; Female ; Hormone Replacement Therapy ; Humans ; Hysterectomy ; Leiomyoma ; Logistic Models ; National Health Programs ; Odds Ratio ; Ovarian Neoplasms ; Taiwan ; Urbanization

OBJECTIVES: Tuberculosis (TB) is a global public health problem that causes morbidity and mortality in millions of people per year. The purpose of this study was to examine the relationship of potential risk factors with TB mortality in Iran.METHODS: This cross-sectional study was performed on 9,151 patients with TB from March 2017 to March 2018 in Iran. Data were gathered from all 429 counties of Iran by the Ministry of Health and Medical Education and Statistical Center of Iran. In this study, a generalized estimating equation-based zero-inflated negative binomial model was used to determine the effect of related factors on TB mortality at the community level. For data analysis, R version 3.4.2 was used with the relevant packages.RESULTS: The risk of mortality from TB was found to increase with the unemployment rate (β^=0.02), illiteracy (β^=0.04), household density per residential unit (β^=1.29), distance between the center of the county and the provincial capital (β^=0.03), and urbanization (β^=0.81). The following other risk factors for TB mortality were identified: diabetes (β^=0.02), human immunodeficiency virus infection (β^=0.04), infection with TB in the most recent 2 years (β^=0.07), injection drug use (β^=0.07), long-term corticosteroid use (β^=0.09), malignant diseases (β^=0.09), chronic kidney disease (β^=0.32), gastrectomy (β^=0.50), chronic malnutrition (β^=0.38), and a body mass index more than 10% under the ideal weight (β^=0.01). However, silicosis had no effect.CONCLUSIONS: The results of this study provide useful information on risk factors for mortality from TB.
Body Mass Index ; Cross-Sectional Studies ; Education, Medical ; Family Characteristics ; Gastrectomy ; HIV ; Humans ; Iran ; Literacy ; Malnutrition ; Models, Statistical ; Mortality ; Public Health ; Renal Insufficiency, Chronic ; Risk Factors ; Silicosis ; Statistics as Topic ; Tuberculosis ; Unemployment ; Urbanization

OBJECTIVES: While the prevalence of obesity in Asian women has remained stagnant, studies of socioeconomic inequalities in obesity among Asian women are scarce. This study aimed to examine the recent prevalence of obesity in Korean women aged between 19 years and 79 years and to analyze socioeconomic inequalities in obesity.METHODS: Data were derived from the 2016 Korean Study of Women's Health-Related Issues. The chi-square test and logistic regression analysis were used to analyze the associations between socioeconomic factors and obesity using Asian standard body mass index (BMI) categories: low (<18.5 kg/m²), normal (18.5-22.9 kg/m²), overweight (23.0-24.9 kg/m²), and obese (≥25.0 kg/m²). As inequality-specific indicators, the slope index of inequality (SII) and relative index of inequality (RII) were calculated, with adjustment for age and self-reported health status.RESULTS: Korean women were classified into the following BMI categories: underweight (5.3%), normal weight (59.1%), overweight (21.2%), and obese (14.4%). The SII and RII revealed substantial inequalities in obesity in favor of more urbanized women (SII, 4.5; RII, 1.4) and against of women who were highly educated (SII, -16.7; RII, 0.3). Subgroup analysis revealed inequalities in obesity according to household income among younger women and according to urbanization among women aged 65-79 years.CONCLUSIONS: Clear educational inequalities in obesity existed in Korean women. Reverse inequalities in urbanization were also apparent in older women. Developing strategies to address the multiple observed inequalities in obesity among Korean women may prove essential for effectively reducing the burden of this disease.
Asian Continental Ancestry Group ; Body Mass Index ; Family Characteristics ; Female ; Humans ; Logistic Models ; Obesity ; Overweight ; Prevalence ; Socioeconomic Factors ; Thinness ; Urbanization ; Women's Health