Perceived neighborhood social cohesion and cardiometabolic risk: a gene × environment study

Associations between dimensions of the social environment and cardiometabolic risk factors: Systematic review and meta-analysis

Aim

The social environment (SE), including social contacts, norms and support, is an understudied element of the living environment which impacts health. We aim to comprehensively summarize the evidence on the association between the SE and risk factors of cardiometabolic disease (CMD).

Methods

We performed a systematic review and meta-analysis based on studies published in PubMed, Scopus and Web of Science Core Collection from inception to 16 February 2021. Studies that used a risk factor of CMD, e.g., HbA1c or blood pressure, as outcome and social environmental factors such as area-level deprivation or social network size as independent variables were included. Titles and abstracts were screened in duplicate. Study quality was assessed using the Newcastle-Ottawa Scale. Data appraisal and extraction were based on the study protocol published in PROSPERO. Data were synthesized through vote counting and meta-analyses.

Results

From the 7521 records screened, 168 studies reported 1050 associations were included in this review. Four meta-analyses based on 24 associations suggested that an unfavorable social environment was associated with increased risk of cardiometabolic risk factors, with three of them being statistically significant. For example, individuals that experienced more economic and social disadvantage had a higher "CVD risk scores" (OR = 1.54, 95%CI: 1.35 to 1.84). Of the 458 associations included in the vote counting, 323 (71%) pointed towards unfavorable social environments being associated with higher CMD risk.

Conclusion

Higher economic and social disadvantage seem to contribute to unfavorable CMD risk factor profiles, while evidence for other dimensions of the social environment is limited.

The role of community cohesion in elderly people during the COVID-19 epidemic: a cross-sectional study

BACKGROUND

Elderly people were regarded as the most impacted and most vulnerable social group during the COVID-19 epidemic. The community environment is vital for their health. The elderly people had to stay home during the implementation of the management and control of the COVID-19 epidemic. They lack resources and suffer from anxiety. Thus, determining environmental factors beneficial for their physical and mental health is very important.

OBJECTIVE

This study aims to assess the association between community cohesion and physical and mental health among elderly people and to identify the related community service and environmental factors that may promote community cohesion.

METHODS

This community-based cross-sectional study was designed during the COVID-19 epidemic. A multistage sampling method is applied to this study. A total of 2,036 participants aged ≥ 60 years were sampled from 27 locations in China. Data were collected through face-to-face interviews. The neighborhood cohesion instrument consisting of three-dimensional scales was used to assess community cohesion. Self-efficacy and life satisfaction, cognitive function and depression, and community service and environmental factors were also measured using standard instruments. Statistical analyses were restricted to 2,017 participants. Separate logistic regression analysis was conducted to assess the association between community cohesion and physical and mental health factors, as well as related community service and environmental factors, among elderly people.

RESULTS

The results showed that high levels of community cohesion were associated with good self-perceived health status and life satisfaction and high levels of self-efficacy and psychological resilience, and their odds ratios (ORs) were 1.27 (95% CI, 1.01-1.59) and 1.20 (95% CI, 1.15-1.27) and 1.09 (95% CI, 1.05-1.13) and 1.05 (95% CI, 1.03-1.06), respectively. The length of stay in the community and the level of physical activity were positively associated with community cohesion scores, whereas the educational level was negatively associated with the community cohesion scores (P < .05). Community cohesion was also associated with low level of depression and high level of cognitive function. The community cohesion was significantly associated with community services and environmental factors from four dimensions. High levels of community cohesion were associated with transportation service, rental of rehabilitation equipment, high levels of satisfaction for community doctors' technical level and community waste disposal, and their ORs were 3.14 (95% CI, 1.87-5.28), 3.62 (95% CI, 2.38-5.52), 1.37 (95% CI, 1.08-1.73), and 1.23 (95% CI, 1.01-1.50), respectively.

CONCLUSIONS

Community cohesion was associated with the physical and mental health of elderly people. Our research suggests that enhancing community services and environmental management may be an effective strategy to increase community cohesion during the epidemic period of major infectious diseases.

CLINICALTRIAL

Neighborhood Conditions and Type 2 Diabetes Risk among Latino Adolescents with Obesity in Phoenix

Type 2 Diabetes (T2D) has reached epidemic levels among the pediatric population. Furthermore, disparities in T2D among youth are distributed in a manner that reflects the social inequality between population sub-groups. Here, we investigated the neighborhood determinants of T2D risk among a sample of Latino adolescents with obesity residing in Phoenix, Arizona (n = 133). In doing so we linked together four separate contextual data sources: the American Community Survey, the United States Department of Agriculture Food Access Research Atlas, the Arizona Healthy Community Map, and the National Neighborhood Data Archive to systematically analyze how and which neighborhood characteristics were associated with T2D risk factors as measured by fasting and 2-h glucose following a 75 g oral glucose tolerance test. Using linear regression models with and without individual/household covariates, we investigated how twenty-two housing and transportation sociodemographic and built and food environment characteristics were independently and jointly associated with T2D risk. The main finding from these analyses was the strong association between the density of fast food restaurants and 2-h glucose values (b = 2.42, p < 0.01). This association was independent of individual, household, and other neighborhood characteristics. Our results contribute to an increasingly robust literature demonstrating the deleterious influence of the neighborhood food environment, especially fast food, for T2D risk among Latino youth.