Cumulative social risk and risk of death from cardiovascular diseases and all-causes

Association of cumulative social risk and gestational diabetes mellitus in the US, 2007-2018

AIMS

Little is known regarding the association of multiple social risk factors and gestational diabetes mellitus (GDM).

METHODS

We analyzed the 2007-2018 National Health and Nutrition Examination Surveys including 10,439 women aged ≥20 years (8 % with history of GDM). We created a cumulative social risk score (CSR) by adding scores assigned to each of the following: race/ethnicity, citizenship status and country of birth, education, and family income (score of 0 used as reference group). Using logistic regression, we assessed the associations of individual social risk factors (education, income, race/ethnicity and citizenship status) and CSR score with GDM, adjusting for age, parity, insurance status, care access, smoking, diet, physical activity, and body mass index.

RESULTS

Among individual social risk factors, being a non-U.S. citizen (OR:1.51, 95% CI: 1.06-2.15) or belonging to a minority racial/ethnic group (OR:1.30, 95% CI: 1.04-1.59) was significantly associated with a greater odds of GDM. When examining the combined effects of social risk factors, a CSR score ≥3 was associated with an increased odds of GDM (OR:1.64, 95% CI: 1.22-2.1).

CONCLUSIONS

Women with a greater burden of social risk factors are more likely to have GDM, thus should be the focus of interventions to prevent and treat GDM.

Implications of Social Disadvantage Score in Cardiovascular Outcomes and Risk Assessment: Findings From the Multi-Ethnic Study of Atherosclerosis

BACKGROUND

Social determinants of health contribute to disparate cardiovascular outcomes, yet they have not been operationalized into the current paradigm of cardiovascular risk assessment.

METHODS

Data from the Multi-Ethnic Study of Atherosclerosis, which includes participants from 6 US field centers, were used to create an index of baseline Social Disadvantage Score (SDS) to explore its association with incident atherosclerotic cardiovascular disease (ASCVD) and all-cause mortality and impact on ASCVD risk prediction. SDS, which ranges from 0 to 4, was calculated by tallying the following social factors: (1) household income less than the federal poverty level; (2) educational attainment less than a high school diploma; (3) single-living status; and (4) experience of lifetime discrimination. Cox models were used to examine the association between SDS and each outcome with adjustment for traditional cardiovascular risk factors. Changes in the discrimination and reclassification of ASCVD risk by incorporating SDS into the pooled cohort equations were examined.

RESULTS

A total of 6434 participants (mean age, 61.9±10.2 years; female 52.8%; non-white 60.9%) had available SDS 1733 (26.9%) with SDS 0; 2614 (40.6%) with SDS 1; 1515 (23.5%) with SDS 2; and 572 (8.9%) with SDS ≥3. In total, 775 incident ASCVD events and 1573 deaths were observed over a median follow-up of 17.0 years. Increasing SDS was significantly associated with incident ASCVD and all-cause mortality after adjusting for traditional risk factors (ASCVD: per unit increase in SDS hazard ratio, 1.15 [95% CI, 1.07-1.24]; mortality: per unit increase in SDS hazard ratio, 1.13 [95% CI, 1.08-1.19]). Adding SDS to pooled cohort equations components in a Cox model for 10-year ASCVD risk prediction did not significantly improve discrimination (P=0.208) or reclassification (P=0.112).

CONCLUSIONS

Although SDS is independently associated with incident ASCVD and all-cause mortality, it does not improve 10-year ASCVD risk prediction beyond pooled cohort equations.

Associations between cumulative social risk, psychosocial risk, and ideal cardiovascular health: Insights from the HeartSCORE study

•

Higher social risk is associated with achievement of fewer ideal cardiovascular health factors.

•

The association was modestly attenuated after adjusting for depression, stress, and perceived discrimination.

•

Psychosocial factors may mediate part of the association between social risk and achievement of ideal cardiovascular health.

Background

Limited studies have assessed the effects of psychosocial risk factors on achievement of ideal cardiovascular health (CVH).

Methods

Using the Heart Strategies Concentrating on Risk Evaluation (HeartSCORE) cohort, we examined the cross-sectional associations of cumulative social risk (CSR) and three psychosocial factors (depression, stress, perceived discrimination) with ideal CVH. CSR was calculated by assigning one point for each of: low family income, low education level, minority race (Black), and single-living status. Ideal CVH was calculated by assigning one point for ideal levels of each factor in American Heart Association's Life's Simple 7. Ideal CVH was dichotomized into fewer versus higher by combining participants achieving <3 versus ≥3 factors. Logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) of having fewer ideal CVH factors. Psychosocial factors were assessed as mediators of the association between CSR and ideal CVH.

Results

We included 2000 participants (mean age 59.1 [7.5] years, 34.6% male, 42.7% Black, and 29.1% with low income), among whom 60.6% had <3 ideal CVH factors. The odds of having fewer ideal CVH factors increased significantly with increasing CSR scores from 1 to 2, to ≥3 compared to individuals with CSR score of zero, after adjusting for age and sex (OR [95% CIs]: 1.77 [1.41 - 2.22]; 2.09 [1.62 - 2.69] 2.67 [1.97 - 3.62], respectively). Taking the components of ideal CVH separately, higher CSR was directly associated with odds of being in ‘non-ideal’ category for six of the seven factors, but was inversely associated with probability of being in ‘non-ideal’ category for cholesterol. The association was modestly attenuated after adjusting for depression, stress, and perceived discrimination (corresponding OR [95% CI]: 1.69 [1.34 - 2.12], 1.96 [1.51 - 2.55], 2.34 [1.71 - 3.20]). The psychosocial factors appeared to mediate between 10% and 20% of relationship between CSR and ideal CVH.

Conclusions

Increased CSR was associated with lower probability of achieving ideal CVH factors. A modest amount of the effect of CSR on ideal CVH appeared to be mediated by depression, stress and perceived discrimination. Public health strategies aimed at improving ideal cardiovascular health may benefit from including interventions targeting social and psychosocial risk factors.

Differences in Social Hardships in Women and Men with Acute Myocardial Infarction: Impact on 30-Day Readmission

Background:

Studies have shown that women with acute myocardial infarction (AMI) have a higher prevalence of unfavorable social variables then men and have a worse outcome. Less is known regarding the impact of these social variables on 30-day readmission after AMI.

Materials and Methods:

We analyzed adult patients with AMI enrolled in a Quality Improvement Program intended to improve the peri-discharge care of patients with an AMI, and decrease all-cause 30-day unplanned readmissions. We compared clinical and social variables by gender. Multivariate logistic regression, with separate adjustment for clinical and for social variable, was used to measure adjusted odds for readmission by gender.

Results:

Among 208 patients included in our project 68 (32.7%) were women. Only 30.9% of women were married or had domestic partner at the time of the interview and only 16.2% were employed. Nearly half of women (48.5%) needed help with medical care, and 39.7% of women did not speak English as their first language. These variables were significantly different by gender. Rates of 30-day readmissions were higher in women than men (22.1% vs. 7.8%, p = 0.024). After adjusting for clinical variables this difference by gender in 30-day readmissions remained significant (odds ratio [OR] 3.34 95% confidence interval [CI] 1.1–11.1, p = 0.049). However, when adjusting for social variables, this difference was no longer noted (OR 0.87 95% CI 0.27–2.78, p = 0.822).

Conclusion:

Women with AMI are more likely than men to have unfavorable social factors that can impact recovery from AMI and women have a higher 30-day readmission rate. The higher 30-day readmissions in women appears to be influenced by these social factors. Health care interventions aimed at reducing 30-day readmission after AMI should focus on eliciting a detailed social history and providing aid for those requiring additional social support at home.

The role of traditional risk factors in explaining the social disparities in cardiovascular death: The national health and Nutrition Examination Survey III (NHANES III)

Objective

─ To assess the role of traditional risk factors in explaining the association between cumulative social risk exposure and disparities in CVD death among US adults.

Methods

─ The study included 15,906 participants from the Third National Health and Nutrition Examination Survey III who were CVD-free at enrollment. Baseline social risk factors (minority race, poverty-income ratio<1, education<12 grade, and living single) were used to create a cumulative social risk score (0 to ≥3). CVD death served as the primary outcome. We assessed the contribution of each major CVD risk factor to the link between cumulative social risk exposure and CVD death.

Results

─ During a median follow-up of 14 years, 1309 CVD deaths occurred. Participants with elevated cumulative social risk score were at increased risk of CVD death, with hazard ratio 1.19(95%CI 1.01–1.41), 1.52(95%CI 1.28–1.79), and 1.46 (95%CI 1.23–1.74) in individuals with score 1, 2 and ​≥ ​3 respectively, compared with individuals with score of 0. Traditional CVD risk factors explained about one third of the disparities in CVD death in individuals with the elevated social risk exposure. Among the one third effect by combined CVD risk factors, current smoking contributed the largest proportion, accounting for approximately one half of the combined risk factors effect, followed by obesity and diabetes.

Conclusions

─Among the traditional risk factors, control of smoking appears to be the greatest opportunity to attenuate the social disparities in CVD death. While these findings call for further studies to identify other pathways that explain the elevated CVD mortality in socially disadvantaged population.

Interrelations of Cumulative Social Risk, Silent Myocardial Infarction, and Mortality in the General Population

Cumulative social risk (CSR), defined as experiencing more than one social risk factor, is associated with a significant increase in cardiovascular mortality. However, it is unclear whether CSR is associated with prevalent silent myocardial infarction (SMI), and whether their joint presence is predictive of mortality more than the presence of CSR in isolation. This analysis included 6,708 participants from the third National Health and Nutrition Examination Survey who were free of clinical cardiovascular disease at the time of enrollment. Baseline social risk factors (poverty-income ratio <1, minority race, education <12 grade, and living single) were used to create the CSR score with values ranging from 0 to ≥3. SMI was defined as electrocardiographic evidence of MI in the absence of clinical MI. In a multivariable-adjusted logistic regression model, baseline CSR ≥ 3 (vs 0) was associated with a higher prevalence of SMI (odds ratio [95% confidence interval]: 2.21 [1.16 to 4.23]). Over a median follow-up of 14 years, there were 2,151 all-cause deaths. Compared with CSR of 0 and no SMI, the risk of mortality with CSR was higher in the presence of SMI than without SMI (multivariable adjusted Hazard Ratios [95% confidence intervals] with vs without SMI were 1.76 [1.13 to 2.75] vs 1.27 [1.10 to 1.46] for CSR≥ 3; 2.06 [1.31 to 3.24] vs 1.21 [1.06 to 1.39] for CSR = 2; and 2.02 [1.31 to 3.12] vs 1.33 [0.63 to 2.82] for CSR = 1, respectively). In conclusion, exposure to CSR is associated with increased risk of SMI, and concomitant presence of SMI with CSR is associated with a higher risk of mortality than presence of CSR alone.

Cumulative Social Risk and Cardiovascular Disease Among Adults in South Korea: A Cross-Sectional Analysis of a Nationally Representative Sample

INTRODUCTION

The Framingham risk score (FRS) is widely used to predict cardiovascular disease (CVD), but it neglects to account for social risk factors. Our study examined whether use of a cumulative social risk score in addition to the FRS improves prediction of CVD among South Korean adults.

METHODS

We used nationally representative data on 19,147 adults aged 19 or older from the Korea National Health and Nutrition Examination Survey 2013-2016. We computed a cumulative social risk score (range, 0-3) based on 3 social risk factors: low household income, low level of education, and single-living status. CVD outcomes were stroke, myocardial infarction, and angina. Weighted logistic regression examined the associations between cumulative social risk, FRS, and CVD. McFadden pseudo-R² and area under receiver operating characteristic curve (AUC) assessed model performance. We conducted mediation analyses to quantify the association between cumulative social risk score and CVD outcomes that is not mediated by the FRS.

RESULTS

A unit increase in social risk was associated with 89.4% higher risk of stroke diagnosis, controlling for the FRS (P < .001). The FRS explained 8.0% of stroke diagnosis (R²) with fair discrimination (AUC = 0.728), and adding the cumulative social risk score enhanced R² and AUC by 2.4% and 0.039. In the association between cumulative social risk and stroke, the proportion not mediated by the FRS was 65% (P < .001). We observed similar trends in myocardial infarction and angina, such that an increase in social risk was associated with increased relative risk of disease and improved disease diagnosis, and a large proportion of the association was not mediated by the FRS.

CONCLUSION

Controlling for the FRS, cumulative social risks predicted stroke, myocardial infarction, and angina among adults in South Korea. Future research is needed to examine non-FRS mediators between cumulative social risk and CVD.

Association between cumulative social risk, particulate matter environmental pollutant exposure, and cardiovascular disease risk

Background

Long-term exposure to pollution has been shown to increase risk of cardiovascular disease (CVD) and mortality, and may contribute to the increased risk of CVD among individuals with higher social risk.

Methods

Data from the community-based Heart Strategies Concentrating on Risk Evaluation (HeartSCORE) study were used to quantify Cumulative Social Risk (CSR) by assigning a score of 1 for the presence of each of 4 social risk factors: racial minority, single living, low income, and low educational status. 1-year average air pollution exposure to PM_2.5 was estimated using land-use regression models. Associations with clinical outcomes were assessed using Cox models, adjusting for traditional CVD risk factors. The primary clinical outcome was combined all-cause mortality and nonfatal CVD events.

Results

Data were available on 1933 participants (mean age 59 years, 66% female, 44% Black). In a median follow up time of 8.3 years, 137 primary clinical outcome events occurred. PM_2.5 exposure increased with higher CSR score. PM_2.5 was independently associated with clinical outcome (adjusted hazard ratio [HR]: 1.19 [95% CI: 1.00, 1.41]). Participants with ≥2 CSR factors had an adjusted HR of 2.34 (1.48–3.68) compared to those with CSR = 0. The association was attenuated after accounting for PM_2.5 (HR: 2.16; [1.34, 3.49]). Mediation analyses indicate that PM_2.5 explained 13% of the risk of clinical outcome in individuals with CSR score ≥ 2.

Conclusion

In a community-based cohort study, we found that the association of increasing CSR with higher CVD and mortality risks is partially accounted for by exposure to PM_2.5 environmental pollutants.

Association of cumulative social risk with mortality and adverse cardiovascular disease outcomes

BACKGROUND

Quantifying the cumulative effect of social risk factors on cardiovascular disease (CVD) risk can help to better understand the sources of disparities in health outcomes.

METHOD AND RESULTS

Data from the Heart Strategies Concentrating on Risk Evaluation (HeartSCORE) study were used to create an index of cumulative social risk (CSR) and quantify its association with incident CVD and all-cause mortality. CSR was defined by assigning a score of 1 for the presence of each of 4 social factors: i) racial minority status (Black race), ii) single living status, iii) low income, and iv) low educational level. Hazard ratios (HRs) were computed using Cox-regression models, adjusted for CVD risk factors. Over a median follow-up period of 8.3 years, 127 incident events were observed. The incidence of the primary outcome for subgroups of participants with 0, 1, and ≥2 CSR scores was 5.31 (95% CI, 3.40-7.22), 10.32 (7.16-13.49) and 17.80 (12.94-22.67) per 1000 person-years, respectively. Individuals with CSR score of 1 had an adjusted HR of 1.85 (1.15-2.97) for incident primary outcomes, compared to those with score of 0. The corresponding HR for individuals with CSR score of 2 or more was 2.58 (1.60-4.17).

CONCLUSION

An accumulation of social risk factors independently increased the likelihood of CVD events and deaths in a cohort of White and Black individuals.

Socioecological Risk Predictors of Physical Activity and Associated Mortality

PURPOSE

To assess (1) the cumulative effect of socioecological factors (social risk) on objectively measured physical activity, (2) the cumulative socioecological risk on all-cause mortality, (3) the potential interaction effects of social risk factors on physical activity and mortality, and (4) whether physical activity mediates the relationship between social risk and mortality.

DESIGN

Cross-sectional and prospective.

SETTING

Laboratory- and survey-based testing of the general US population.

PARTICIPANTS

Five thousand five hundred seventy-four adult participants of the National Health and Nutrition Examination Survey 2003 to 2006.

MEASURES

Social risk was assessed from 4 variables, namely poverty level, education, minority status, and social living status. Moderate-to-vigorous physical activity (MVPA) was assessed via accelerometry. Mortality was assessed via linkage with the National Death Index, with follow-up through 2011.

ANALYSIS

Negative binomial regression and Cox proportional hazard model.

RESULTS

Compared to those with 0 social risk factors, those with 1 and 2+ social risk factors engaged in 11% and 10% less MVPA, respectively. Those with 1 (vs 0) social risk factor had a 2.0-fold increase in mortality risk, and those with 2+ (vs 0) social risk factors had a 2.3-fold increase in mortality risk. Interaction effects for various socioecological factors on both MVPA and mortality were observable.

CONCLUSION

Cumulative social risk is associated with less MVPA and increased all-cause mortality risk. Given the interaction effects of socioecological factors, targeted interventions in identified populations may be needed.

Psycho-socioeconomic bio-behavioral associations on all-cause mortality: cohort study

Background: The purpose of this study was to examine the cumulative effects of psychological,socioeconomic, biological and behavioral parameters on mortality.

Methods: A prospective design was employed. Data from the 2005-2006 National Health and Nutrition Examination Survey (NHANES) were used (analyzed in 2015); follow-up mortality status evaluated in 2011. Psychological function was assessed from the Patient Health Questionnaire-9 (PHQ-9) as a measure of depression. Socioeconomic risk was assessed from poverty level, education, minority status, and social living status. Biological parameters included cholesterol, weight status, diabetes, hypertension and systemic inflammation. Behavioral parameters assessed included physical activity (accelerometry), dietary behavior, smoking status (cotinine) and sleep. These 14 psycho-socioeconomic bio-behavioral (PSBB) parameters allowed for the calculation of an overall PSBB Index, ranging from 0-14.

Results: Among the evaluated 2530 participants, 161 died over the unweighted median follow-up period of 70.0 months. After adjustment, for every 1 increase in the overall PSBB index score,participants had a 15% reduced risk of all-cause mortality (HR = 0.85; 95% CI: 0.76-0.96). After adjustment, the Behavioral Index (HR = 0.73; 95% CI: 0.60-0.88) and the Socioeconomic Index(HR = 0.82; 95% CI: 0.68-0.99) were significant, but the Psychological Index (HR = 0.67; 95%CI: 0.29-1.51) and the Biological Index (HR = 1.03; 95% CI: 0.89-1.18) were not.

Conclusion: Those with a worse PSBB score had an increased risk of all-cause mortality.Promotion of concurrent health behaviors may help to promote overall well-being and prolong survival.

Cumulative social risk exposure and risk of cancer mortality in adulthood

Background

Adults in the United States (U.S) can be simultaneously exposed to more than one social risk factor over their lifetime. However, cancer epidemiology tends to focus on single social risk factors at a time. We examined the prospective association between cumulative social risk exposure and deaths from cancer in a nationally representative sample of U.S. adults.

Methods

The study included 8745 adults (aged ≥ 40 years) in the NHANES Survey III Mortality Study over a median follow-up of 13.5 years (1988-1994 enrollment dates and 1988 through 2006 for mortality data). Social risk factors (low family income, low education level, minority race, and single-living status) were summed to create a cumulative social risk score (0 to ≥3). We used Cox proportional hazard models to estimate age- and sex-adjusted hazard ratios (HRs) and 95 % confidence intervals (95 % CI) for the association between cumulative social risk with deaths from all-cancers combined, tobacco-related cancers, and screening-detectable cancers.

Results

Deaths from all-cancers combined (P for trend = 0.001), tobacco-related cancers (P for trend = <0.001), and lung cancer (P for trend = 0.01) increased with an increasing number of social risk factors. As compared with adults with no social risk factors, those exposed to ≥3 social risk factors were at increased risk of deaths from all-cancers combined (HR = 1.8, 95 % CI = 1.3-2.4), tobacco-related cancers (HR = 2.6, 95 % CI: 1.6-4.0), and lung cancer (HR = 2.3, 95 % CI = 1.3-4.1).

Conclusions

U.S. adults confronted by higher amounts of cumulative social risk appear to have increased mortality from all-cancers combined, tobacco-related cancers, and lung cancer. An enhanced understanding of the cumulative effect of social risk factors may be important for targeting interventions to address social disparities in cancer mortality.