scholarly journals Effect of characteristics and life in cities in China on residents’ smoking behaviour

2018 ◽  
Vol 46 (10) ◽  
pp. 4226-4234
Author(s):  
Yang Chen ◽  
Hongsheng Chen ◽  
Zhigang Li
Keyword(s):  
Socioeconomic Status ◽  
Social Status ◽  
Passive Smoking ◽  
Subjective Social Status ◽  
Smoking Behaviour ◽  
Smoking Prevention ◽  
Second Hand Smoke ◽  
Prevention Measures ◽  
Per Capita ◽  
The Relationship

Objective This study aimed to identify the relationship between city-level economic development and smoking behaviour. Methods Using multilevel mixed-effects logistic methods, we examined the relationship between smoking/passive smoking and respondents’ lifestyles in the city. Results We found that respondents living in cities with higher per capita gross domestic product (GDP) were less likely to smoke than those living in cities with lower per capita GDP (odds ratio [OR] = 0.977, 95% confidence interval [CI]: 0.958–0.997). Further, respondents with higher levels of life satisfaction and subjective social status were less likely to smoke than those with lower levels of these variables (OR = 0.942, 95% CI: 0.893–0.994; OR = 0.955, 95% CI: 0.928–0.983, respectively). In terms of passive smoking, respondents with higher levels of subjective social status in their cities were less likely to smoke than those with lower levels (OR = 0.972, 95% CI: 0.948–0.996). Smoking and exposure to second-hand smoke were more common among those with lower socioeconomic status. Conclusions Smoking is one of the most serious public health hazards in China. People’s smoking behaviour is significantly related to characteristics of their cities and their socioeconomic status. Improved smoking-prevention measures are urgently required in China.

scholarly journals Subjective Social Status (SSS) as an Important Mediator in the Association between Socioeconomic Status (SES) and Mental Health

2021 ◽  
Author(s):  
Fatemeh Mehravar ◽  
Abbas Rahimi Foroushani ◽  
Mohammad Ali Vakili ◽  
Saharnaz Nedjat
Keyword(s):  
Mental Health ◽  
Socioeconomic Status ◽  
Social Class ◽  
Social Status ◽  
Direct Effect ◽  
Subjective Social Status ◽  
Path Coefficient ◽  
Mediating Role ◽  
The Relationship

Abstract Background: Socioeconomic status (SES) has often been considered a major predictor of mental health-related outcomes such as depression, anxiety, and stress. However, little is known about the mediating role of subjective social status (SSS) — an individual perception of relative position in the social hierarchy—in the relationship between SES and health outcomes. This study aimed to determine the mediating role of SSS in the relationship between SES and mental health among the employees of Tehran University of Medical Sciences (TUMS).Methods:The data from the enrolment phase of a cohort study on TUMS employees (n = 4461) were used in this cross-sectional study. Household SES was the main independent variable. SES was first entered into the mediation model as a composite index (a combination of wealth index, social class, and education), and then each indicator was entered separately. Stress, anxiety, and depression scores were measured using the DASS-42 Scale as a latent outcome variable for mental health status. SSS was evaluated as a potential mediator variable using the MacArthur scale which was converted to a five-point Likert item. The mediation analysis was carried out using a two-step structural equation modeling (SEM) approach in STATA version 14.0 with maximum likelihood (ML) estimation. Finally, the direct and indirect effects of SES indices on mental health were investigated, considering SSS's mediating role.Results: The data showed that 2706 participants (60.65%) were female and the mean age of all participants was 42.21±8.72 years. The standardized path coefficient for the direct effect of SES on SSS was --0.50 (SE=0.013), whereas the standardized path coefficient for the direct effect of SSS on mental health was 0.10 (SE=0.018). The standardized indirected effect of the composite SES-index on mental health through the SSS is -0.05 (lower SSS and mental health scores and higher SES scores indicate improvements in the status of these variables). Contribution of SSS in association between composite SES-index and the mental health of TUMS employees is 27.78% (27.27% in male and 22.23% in female). In addition, contribution of SSS for the association between the indices of wealth, education, social class and mental health is 41.67%, 36.36%, and 28.57%, respectively.Conclusions:The Findings of this study showed that a poorer SSS may influence the pathology of mental health disorders. It seems to be as a mediator in the association between SES and symptoms of depression, anxiety, and stress. Individuals' mental health may thus be improved by intervening in their subjective social status in relation to SES, which is relatively more stable.

scholarly journals Sleep and the Social Matrix: Determinants of Health Status Beyond Objective Social Status

2015 ◽  
Vol 4 (1) ◽  
pp. 39-52
Author(s):  
Stacy A. Ogbeide ◽  
Christopher A. Neumann
Keyword(s):  
Primary Care ◽  
Socioeconomic Status ◽  
Health Status ◽  
Social Status ◽  
Sleep Duration ◽  
Perceived Stress ◽  
Low Income ◽  
Daytime Sleepiness ◽  
Subjective Social Status ◽  
Primary Care Patients

AimThe purpose of this study was to examine the relationship between subjective social status (SSS) and objective socioeconomic status (SES) on sleep status (sleep duration and daytime sleepiness).MethodThe study sample included 73 primary care patients from a free medical clinic in which low-income individuals are primarily treated. Subjective social status was measured using the MacArthur Scale of Subjective Social Status which uses a pictorial format (social ladder) in order to assess current social status. Socioeconomic status was measured by assessing highest level of education and current income level.ResultsCommunity SSS did not significantly predict sleep duration or daytime sleepiness. Additional regression analyses were conducted and it was found that an overall model of U.S. SSS and community SSS significantly predicted perceived stress. Community SSS was found to be significantly associated with perceived stress. Regression results also indicated that an overall model of U.S. SSS and community SSS significantly predicted perceived health status.ConclusionIt may be beneficial for clinicians working with low-income primary care populations to include measures of SSS in addition to the traditional measures of SES for multidimensional patient care.

scholarly journals The Relationship Between Internet Usage, Socioeconomic Status, Subjective Health and Social Status

2016 ◽  
Vol 8 (Special Edition) ◽  
pp. 67-82 ◽  
Author(s):  
Annan Saeed Khan ◽  
Atta ur Rahman ◽  
Laila Taskeen Qazi
Keyword(s):  
Socioeconomic Status ◽  
Social Status ◽  
Subjective Health ◽  
Internet Usage ◽  
The Relationship

Association of Selected Area-Level Indicators With Suicide Mortality in Slovenian Municipalities

Crisis ◽  
2020 ◽  
pp. 1-7
Author(s):  
Saška Roškar ◽  
Nataša Sedlar ◽  
Lucija Furman ◽  
Maja Roškar ◽  
Anja Podlesek
Keyword(s):  
Suicide Rate ◽  
Mental Healthcare ◽  
Divorce Rate ◽  
Healthcare Services ◽  
Marriage Rate ◽  
Suicide Mortality ◽  
Net Income ◽  
Prevention Measures ◽  
Per Capita ◽  
The Relationship

Abstract. Background: With an average suicide rate of 20 per 100,000 in the last decade, Slovenia is above the EU average. There are considerable regional differences in suicide mortality within the country. Aim: We aimed to investigate the relationship between selected indicators at area level and the suicide rate in Slovenian municipalities. Method: Sociodemographic, socioeconomic, and (mental) health data in the years 2012–2016 were analyzed for 212 municipalities. Robust correlation and regression analyses were performed to determine the relationship between different variables and the suicide rate. Results: The suicide rate was positively associated with the percentage of male inhabitants, the high social cohesion in the neighborhood, and the number of sick leave days per capita. It was negatively related to the net income per capita, the marriage rate, the divorce rate, and the availability of professional mental healthcare services. Limitations: The small suicide frequencies within municipalities constitute a limitation of the study. Conclusion: Factors at local, municipal level can be linked to the risk of suicide. In Slovenia, neighborhood cohesion is one of the factors that should be considered when designing suicide prevention measures in a community.

scholarly journals Socioeconomic Status and Morbidity Rate Inequality in China: Based on NHSS and CHARLS Data

2019 ◽  
Vol 16 (2) ◽  
pp. 215 ◽  
Author(s):  
Yunyun Jiang ◽  
Haitao Zheng ◽  
Tianhao Zhao
Keyword(s):  
Socioeconomic Status ◽  
Longitudinal Study ◽  
Incidence Rate ◽  
Chronic Diseases ◽  
Education Level ◽  
Morbidity Rate ◽  
Age Cohorts ◽  
Per Capita ◽  
New Evidence ◽  
The Relationship

Previous studies have shown there are no consistent and robust associations between socioeconomic status and morbidity rates. This study focuses on the relationship between the socioeconomic status and the morbidity rates in China, which helps to add new evidence for the fragmentary relationship between socioeconomic status and morbidity rates. The National Health Services Survey (NHSS) and China Health and Retirement Longitudinal Study (CHARLS) data are used to examine whether the association holds in both all-age cohorts and in older only cohorts. Three morbidity outcomes (two-week incidence rate, the prevalence of chronic diseases, and the number of sick days per thousand people) and two socioeconomic status indicators (income and education) are mainly examined. The results indicate that there are quadratic relationships between income per capita and morbidities. This non-linear correlation is similar to the patterns in European countries. Meanwhile, there is no association between education years and the morbidity in China, i.e., either two-week incidence rate or prevalence rate of chronic diseases has no statistically significant relationship with the education level in China.

scholarly journals Relationship between subjective social status and perceived health among Latin American immigrant women

2013 ◽  
Vol 21 (6) ◽  
pp. 1353-1359 ◽  
Author(s):  
Mª Visitación Sanchón-Macias ◽  
Dolores Prieto-Salceda ◽  
Andreu Bover-Bover ◽  
Denise Gastaldo
Keyword(s):  
Socioeconomic Status ◽  
Social Status ◽  
Latin American ◽  
Low Income ◽  
Immigrant Women ◽  
Perceived Health ◽  
Subjective Social Status ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
Macarthur Scale

OBJECTIVE: to explore the relationship between socioeconomic status and subjective social status and explain how subjective social status predicts health in immigrant women. METHODS: cross-sectional study based on data from 371 Latin American women (16-65 years old) from a total of 7,056 registered immigrants accesse through community parthers between 2009-2010. Socioeconomic status was measured through education, income and occupation; subjective social status was measured using the MacArthur Scale, and perceived health, using a Likert scale. RESULTS: a weak correlation between socioeconomic and subjective social status was found. In the bivariate analysis, a significantly higher prevalence of negative perceived health in women with no education, low income, undocumented employment was observed. In the multivariate analysis, higher odds of prevalence of negative perceptions of health in the lower levels of the MacArthur scale were observed. No significant differences with the rest of the variables were found. CONCLUSIONS: the study suggests that subjective social status was a better predictor of health status than the socioeconomic status measurements. Therefore, the use of this measurement may be relevant to the study of health inequalities, particularly in socially disadvantaged groups such as immigrants.

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