Relationship of social capital with overweight and obesity among female health care workers

The Relationships between Social Capital, Metabolic, and Behavioral Risk Factors of Non-Communicable Diseases: A Systematic Review

Background

Contextual risk factors such as social capital have a vital role in affecting behavioral and biological risk factors of NCDs. We aimed to systematically identify the relationship between different aspects of social capital (SC) with metabolic, and behavioral risk factors of non-communicable diseases (NCDs).

Methods

This is a systematic review. The period of study was 2000-2021. We searched the English international databases, i.e. PubMed/Medline, Scopus, and Web of Science. Studies that reported NCDs' metabolic and behavioral risk factors as independent variables, were excluded. We also included studies if they analyzed the association between SC and metabolic and behavioral risk factors of NCDs.

Results

After the primary and quality appraisal process, 97 studies were entered in the final phase of the analysis. Five out of 18 studies reported an inverse association between SC and the level of alcohol drinking. Twenty-seven out of 32 studies reported a significant inverse association between SC and smoking and tobacco use, while only one study reported a significant positive association. Nine studies reported a significant inverse association between SC and high blood pressure. Three studies showed a significant inverse association between SC and diabetes. Seventeen studies indicated a significant positive association between SC and physical activity. Thirteen out of 17 studies reported a significant inverse association between SC, body mass index (BMI) and overweight.

Conclusion

High SC, people's participation and interaction are vital in tackling NCDs. Evidence shows positive effects of SC on prevention, control and improvement of NCDs' metabolic and behavioral risk factors.

Prevalence of overweight, obesity, and associated factors among healthcare workers in the Gaza Strip, Palestine: A cross-sectional study

Background

Overweight and obesity are multifactorial conditions that are prevalent in developing and developed countries. They are emerging as a significant public health concern among healthcare workers (HCWs). We aimed to estimate the prevalence of overweight and obesity and their associated factors among HCWs in the Gaza Strip.

Methods

A cross-sectional study was conducted to recruit 1,850 HCWs aged 22 years and older. Interviews were carried out to collect sociodemographic information, nutritional information, and physical activity. Anthropometric measurements [height, weight, and waist circumference] were conducted with the HCWs. The body mass index was computed to determine the prevalence of overweight and obesity. Chi-square, t-test, and one-way ANOVA were used to compare the variables, and logistic regression was used to examine the associated factors of overweight and obesity.

Results

The combined prevalence of overweight and obesity among HCWs was 65%. The result of logistic regression showed the risk of being overweight and obesity increased within the age group of 40-49 years (OR = 3.20; 95% CI: 2.37-4.32; P < 0.001). Male participants had more risk of obesity than female participants (OR = 1.77; 95% CI: 1.45-2.15). Married participants had a significantly higher risk of being overweight and obese (OR = 2.52; 95% CI: 2.05-3.28; P = 0.001). Increased monthly income was significantly associated with the risk of being overweight and obese (OR = 2.16; 95% CI: 1.22-3.83; P = 0.008). In addition, hypertension (OR = 2.49; 95% CI: 1.65-3.78; P < 0.001) and type 2 diabetes (OR = 2.42; 95% CI: 1.21-4.85; P= 0.012) were associated with overweight and obesity. Finally, a family history of NCDs was associated with overweight and obesity (OR = 1.69; 95% CI: 1.38-2.07; P < 0.001).

Conclusion

This study showed a high prevalence of overweight and obesity among HCWs. Age, monthly income, marital status, known hypertension, type 2 diabetes, and eating habits were associated with the prevalence of overweight and obesity compared to other variables that were not associated with overweight and obesity such as profession, vegetables, fruit consumption, and physical activity. Urgent action is needed to tackle overweight and obesity among HCWs.

Social capital and health information seeking in China

Background

People’s potentials to seek health information can be affected by their social context, such as their social networks and the resources provided through those social networks. In the past decades, the concept of social capital has been widely used in the health realm to indicate people’s social context. However, not many such studies were conducted in China. Chinese society has its special quality that many Western societies lack: people traditionally render strong value to family relations and rely heavily on strong social ties in their social life. Therefore, the purpose of this study was to examine the association between different types of social capital and health information-seeking behavior (HISB) in the Chinese context. The different types of social capital were primarily bonding and bridging, as well as cognitive and structural ones.

Methods

Our analysis is based on a total of 3090 cases taken from the Health Information National Trends Survey (HINTS) – China, 2017. Dataset was weighted due to the overrepresentation of female respondents and hierarchical multiple regression analyses as well as binary logistic regression tests were operated to examine the associations between people’s social capital and their HISB.

Results

Some aspects of social capital emerged as positive predictors of HISB: information support (standing in for the cognitive component of social capital) promoted health information seeking, organization memberships (standing in for the structural component) encouraged cancer information seeking, and both the use of the internet and of traditional media for gaining health information were positively linked with bridging networks and organization memberships. Bonding networks (structural component) were not correlated with any other of the key variables and emotional support (cognitive social capital) was consistently associated with all health information-seeking indicators negatively.

Conclusions

Social capital demonstrated significant and complex relationships with HISB in China. Structural social capital generally encouraged HISB in China, especially the bridging aspects including bridging networks and organization memberships. On the other hand, emotional support as cognitive social capital damaged people’s initiatives in seeking health-related information.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13895-2.

Social capital or vulnerability: Which has the stronger connection with selected U.S. health outcomes?

We tested associations between social capital or vulnerability and health outcome measures of adult obesity, adult diabetes, and life expectancy at the county level in the United States with data from 2015 to 2018. This ecological cross-sectional study utilized secondary data from four open access databases: The Geography of Social Capital (U.S. Congress, 2018), County Health Rankings (2018), CDC's Behavioral Risk Factor Surveillance System (BRFSS, 2018) and the Kaiser Family Foundation (KFF, 2015). Our dependent variables were adult obesity, adult diabetes, and life expectancy. We identified the highest and lowest states' prevalence for each of three health outcomes in each of the four U.S. regions-Northeast, South, Midwest, and West. Each dependent variable was assessed using a sample of 32 counties (N = 32). Data analysis consisted of bivariate and regression analysis. Our results showed that the most consistent measure of "vulnerability" linked significantly to all three health conditions studied was percent births to unmarried women (Obesity p < .001; Diabetes p = .049; Life Expectancy p = .019). The most consistent measure of "social capital" linked to all three health conditions was recreation establishments per 1,000 inhabitants (Obesity p = .006; Diabetes p = .005; Life Expectancy p = .018). We concluded that measures of vulnerability were strongly associated with obesity, diabetes, and life expectancy when compared with social capital indicators. However, measures of social capital consistently accounted for the second-greatest proportion of the variance. Social and community contexts should be constantly addressed by both public health governmental- and scholarly-research agendas in the United States.

Association between Social Trust and Metabolic Syndrome in a Previously Healthy Population-A Longitudinal Cohort Study in South Korea

Background: Social trust, assessed by the trustworthiness of one another in a community, is known to have beneficial effects on health outcomes. However, the impact of social trust on metabolic syndrome (MetS) is unclear. Methods: The study subjects were extracted from the Korean National Health Insurance Service, and social trust was obtained from the Korean Community Health Survey (KCHS). Previously healthy participants were followed up from 1 January 2010 to 31 December 2011, and again from 1 January 2012 to 31 December 2013 for waist circumference, blood pressure, fasting blood glucose, triglycerides and high-density lipoprotein cholesterol (HDL-C). Multivariate logistic regression was used to calculate the adjusted odds ratios (aORs) with 95% confidence intervals (CIs) for newly developed MetS according to social trust quintiles. Stratified analyses were performed to determine the relationship between lifestyle behaviors and social trust. Results: Compared to the participants within the first quintile of social trust, those in the remaining quintiles had lower risks of developing MetS. The aOR with the 95% CI was 0.88 (0.79–0.98) in the 5th quintile group of social trust. Among the diagnostic criteria for MetS, waist circumference and HDL-C were statistically significant with aORs of 0.91 (0.84–0.99) and 0.88 (0.80–0.95) in the 5th quintile group. The stratified analyses showed protective effects of positive lifestyle behaviors. The aORs with 95% CIs were 0.85 (0.74–0.99) in never smokers, 0.82 (0.70–0.95) in non-drinkers and 0.87 (0.76–1.00) in the physically active in the highest level of social trust. Conclusions: Higher social trust was associated with a lower incidence of MetS. Therefore, building community with psychosocial support may be helpful in improving public health.

Epidemiology, Predisposing Factors, Biomarkers, and Prevention Mechanism of Obesity: A Systematic Review

Background. Globally, obesity is becoming a public health problem in the general population. Various determinants were reported by different scholars even though there are inconsistencies. Different biomarkers of obesity were identified for the prediction of obesity. Even though researchers speculate the factors, biomarkers, consequences, and prevention mechanisms, there is a lack of aggregate and purified data in the area of obesity. Summary. In this review, the epidemiology, predisposing factors, biomarkers, consequences, and prevention approaches of obesity were reviewed. Key Messages. The epidemiology of obesity increased in low-, middle-, and high-income countries. Even if the factors vary across regions and socioeconomic levels, sociodemographic, behavioral, and genetic factors were prominent for the development of obesity. There are a lot of biomarkers for obesity, of which microRNA, adipocytes, oxidative stress, blood cell profile, nutrients, and microbiota were promising biomarkers for determination of occurrence of obesity. Since the consequences of obesity are vast and interrelated, multidimensional prevention strategy is mandatory in all nations.