The Impact of Social Vulnerability on Alcohol Consumption and Mortality: A 20-year Age, Sex-stratified Analysis from the Taiwan Longitudinal Study of Aging.

OBJECTIVE: This study aimed to use the Social Vulnerability Index (SVI) to encapsulate the complex and multidimensional nature of social determinants and their influence on alcohol intake and mortality in middle-aged and older individuals. DESIGN: Cohort study. SETTING AND PARTICIPANTS: Data were obtained from the Taiwan Longitudinal Study on Aging (TLSA), with 3945 study participants aged 50 years and older. METHODS: The TLSA questionnaire defined SVI (51 items including living conditions, social support, socially oriented activities of daily living, social engagement and leisure, empowerment of life, satisfaction about life, and socioeconomic status) and alcohol intake (behavior as well as type and frequency of alcohol intake). Multivariate Cox proportional hazard models were used to estimate the association between alcohol intake and mortality, stratified by sex and SVI groups. RESULTS: Men with high social vulnerability and high alcohol intake exhibit an elevated mortality risk [adjusted hazard ratio (aHR), 1.51; 95% CI, 1.01-2.24], whereas notably, women in similar social circumstances but with moderate alcohol intake face a quintupled mortality risk (>35 g/wk; aHR, 5.67; 95% CI, 2.37-13.61). The impact of alcohol and social vulnerability on mortality was more pronounced in men younger than 65. Among them, those with high social vulnerability and moderate (35-140 g/wk; aHR, 2.83; 95% CI, 1.50-5.36) to high (>140 g/wk; aHR, 2.24; 95% CI, 1.15-4.35) alcohol intake was associated with an increased risk of mortality. CONCLUSIONS AND IMPLICATIONS: Various factors throughout the life course of both men and women significantly impact the risk of all-cause mortality due to alcohol intake, underscoring the importance of social vulnerability as a determinant of both alcohol intake behavior and mortality risk.

County Mammogram Uptake can be Predicted from Social Determinants of Health, but Patterns Do Not Hold for Individual Patients.

Purpose: The objective of this study is to describe patterns in barriers to breast cancer screening uptake with the end goal of improving screening adherence and decreasing the burden of mortality due to breast cancer. This study looks at social determinants of health and their association to screening and mortality. It also investigates the extent that models trained on county data are generalizable to individuals. Methods: County level screening uptake and age adjusted mortality due to breast cancer are combined with the Centers for Disease Controls Social Vulnerability Index (SVI) to train a model predicting screening uptake rates. Patterns learned are then applied to de-identified electronic medical records from individual patients to make predictions on mammogram screening follow through. Results: Accurate predictions can be made about a county's breast cancer screening uptake with the SVI. However, the association between increased screening, and decreased age adjusted mortality, doesn't hold in areas with a high proportion of minority residents. It is also shown that patterns learned from county SVI data have little discriminative power at the patient level. Conclusion: This study demonstrates that social determinants in the SVI can explain much of the variance in county breast cancer screening rates. However, these same patterns fail to discriminate which patients will have timely follow through of a mammogram screening test. This study also concludes that the core association between increased screening and decreased age adjusted mortality does not hold in high proportion minority areas. Objective: The objective of this study is to describe patterns in social determinants of health and their association with female breast cancer screening uptake, age adjusted breast cancer mortality rate and the extent that models trained on county data are generalizable to individuals.

Breaking Barriers: A Single-Center Real-World Experience With Recruitment and Administration of COVID-19 Monoclonal Antibodies and Opportunities for Improvement.

We conducted a retrospective exploratory study evaluating factors associated with selection to receive and infusion with coronavirus disease 2019 monoclonal antibodies. While priority was given to high-risk patients, patients with increased Social Vulnerability Index scores were less likely to present for infusion, raising concern that social factors created barriers to treatment.

Characteristics Associated With Purchasing Sugar-Sweetened Beverages and Bottled Water Among US Households, 2015.

BACKGROUND: Frequent intake of sugar-sweetened beverages (SSBs) among US adults is a public health concern because it has been associated with increased risks for adverse health outcomes such as obesity, type 2 diabetes, and cardiovascular disease. In contrast, drinking plain water (such as tap, bottled, or unsweetened sparkling water) instead of drinking SSBs might provide health benefits by improving diet quality and helping prevent chronic diseases. However, there is limited information on estimated expenditures on SSBs or bottled water among US households. OBJECTIVE: This study examined differences in SSB and bottled water purchasing according to household and geographic area characteristics and estimated costs spent on purchasing SSB and bottled water from retail stores among a nationally representative sample of US households. DESIGN: This study is a secondary analysis of the 2015 Circana (formerly Information Resources Inc) Consumer Network Panel data, which were merged with the US Department of Agriculture nutrition data using the US Department of Agriculture Purchase-to-Plate Crosswalk-2015 dataset (the latest available version of the Purchase-to-Plate Crosswalk at the time the study began), and the Child Opportunity Index 2.0 data. PARTICIPANTS/SETTINGS: A total of 63,610 households, representative of the contiguous US population, consistently provided food and beverage purchase scanner data from retail stores throughout 2015. EXPLANATORY VARIABLES: The included demographic and socioeconomic variables were household head's age, marital status, highest education level, race and ethnicity of the primary shopper in the household, family income relative to the federal poverty level, and presence of children in the household. In addition, descriptors of households' residential areas were included, such as the county-level poverty prevalence, urbanization, census region, and census tract level Child Opportunity Index. MAIN OUTCOME MEASURES: Annual per capita spending on SSB and bottled water and daily per capita SSB calories purchased. STATISTICAL ANALYSIS: Unadjusted and multivariable adjusted mean values of the main outcome measures were compared by household demographic, socioeconomic, and geographic characteristics using linear regression analysis including Circana's household projection factors. RESULTS: Nearly all households reported purchasing SSBs at least once during 2015 and spent on average $47 (interquartile range = $20) per person per year on SSBs, which corresponded to 211 kcal (interquartile range = 125 kcal) of SSBs per person per day. About seven in 10 households reported purchasing bottled water at least once during 2015 and spent $11 (interquartile range = $5) per person on bottled water per year. Both annual per capita SSB and bottled water spending, and daily per capita SSB calories purchased was highest for households whose heads were between 40 and 59 years of age, had low household income, or lived in poor counties, or counties with a low Child Opportunity Index. Annual per capita spending was also higher for households with never married/widowed/divorced head, or at least 1 non-Hispanic Black head, and households without children, or those living in the South. Daily per capita SSB calorie purchases were highest for households where at least 1 head had less than a high school degree, households with at least 1 Hispanic or married head, and households with children or those living in the Midwest. CONCLUSIONS: These findings suggest that households that had lower socioeconomic status had higher annual per capita spending on SSBs and bottled water and higher daily per capita total SSB calories purchased than households with higher socioeconomic status.

Social vulnerability is associated with post-operative morbidity following robotic-assisted lung resection.

Background: The social vulnerability index (SVI) is a neighborhood-based metric used to determine an individual's susceptibility to socioeconomic hardship, with high SVI indicating high susceptibility. SVI has previously been associated with surgical outcomes. We aimed to determine if SVI influences morbidity following robotic-assisted lung resection. Methods: This was a retrospective cohort study at one academic medical center (1/1/2021-11/30/2022). Patients undergoing robotic-assisted lung resection were grouped into low (<75th percentile) and high (≥75th percentile) SVI cohorts. The primary outcome was 30-day overall morbidity; secondary outcomes were individual 30-day post-operative outcomes. Univariate analysis was performed using Chi-squared or Mann-Whitney-U tests, and multivariable logistic regression was performed to generate risk-adjusted odds ratios (ORs) of postoperative complications. Results: We included 320 patients, of which 40 patients (12.5%) in the high-SVI group and 280 (87.5%) in the low-SVI group. High SVI patients were more likely to be non-Caucasian and of Hispanic ethnicity, but there were no other differences in perioperative characteristics (all P>0.05). High SVI patients were more likely to experience a post-operative complication (42.5% vs. 24.6%, P=0.017), surgical site infection (SSI) (12.5% vs. 4.3%, P=0.047), hemothorax (5.0% vs. 0.0%, P=0.015), intensive care need (15.0% vs. 4.6%, P=0.021), sepsis (10.0% vs. 1.1%, P=0.006) and unplanned reoperation (5.0% vs. 0.4%, P=0.042). After risk-adjustment, the association of increased overall morbidity with high SVI persisted (OR =2.53; 95% confidence interval: 1.19-5.35). Conclusions: High SVI was associated with increased risk-adjusted odds of morbidity after robotic-assisted lung resection. Highly vulnerable patients should be allocated perioperative resources to help mitigate the increased risk of these complications.

The spatial association of social vulnerability with COVID-19 prevalence in the contiguous United States.

This study aims to examine the spatially varying relationships between social vulnerability factors and COVID-19 cases and deaths in the contiguous United States. County-level COVID-19 data and the Centers for Disease Control and Prevention social vulnerability index (SVI) dataset were analyzed using local Spearman's rank correlation coefficient. Results suggested that SVI and four social vulnerability themes have spatially varying relationships with COVID-19 cases and deaths, which means spatial heterogeneity is an essential factor that influences the relationship, and the strength of association varies significantly across counties. County hot spots that were subject to all four social vulnerability themes during the pandemic were also identified. Local communities and health authorities should pay immediate attention to the most influential social vulnerability factors that are dominant in their region and incorporate measures tailored to the specific groups of people who are under the greatest risk of being affected during the COVID-19 pandemic.

An analysis of pediatric social vulnerability in the Pennsylvania trauma system.

BACKGROUND: The social vulnerability index (SVI) is used to assess resilience to external influences that may affect human health. Social vulnerability has been noted to be a barrier to healthcare access for pediatric patients. We hypothesized that Pennsylvania (PA) pediatric trauma patients high on the social vulnerability index would have significantly lower rates of rehab admission following admission to a hospital for traumatic injury. METHODS: The SVI was determined for each PA zip code area utilizing the census tract based 2014 SVI provided by the CDC along with a weighted crosswalk between census tracts and zip code areas using the Housing and Urban Development zip code crosswalk files. The rate of the uninsured population was extracted from the CDC SVI files in addition to other US Census variables based upon estimates from the 2014 American Community Survey (ACS). We also included the individual primary payer status of each subject. Pediatric (age <15 years) trauma admissions with in-hospital mortality excluded, were extracted from the PA Healthcare Cost Containment Council (PHC4) for all hospital admissions for the period of 2003-2015 (n = 63,545). Complete case analysis was conducted based upon the final model providing a sample of 52,794. Cases were coded as rehab patients based upon discharge status (n = 603; 1.1%). A multi-level logistic model was used to determine if subjects had a higher odds of being discharged to rehab based on SVI, undertriage rates of their zip code area of residence and their own primary payer status; this was adjusted for age, multi-system injury and a head, chest or abdomen injury with abbreviate injury scale (AIS) severity > = 3. RESULTS: SVI and undertriage rates of the zip code areas of residence were not significantly associated with admission to rehab. The individual primary payer status of the subject was significantly associated with admission to rehab (OR 95%CI vs. self/uninsured; Medicaid 3.65 1.84-7.24; Commercial = 3.09 1.56-6.11; other/unknown = 2.85 1.02-7.93). Admission to rehab was also significantly associated with age, injury severity (ISS), head or chest injury with AIS scores > = 3, year of admission and hospital type. CONCLUSION: Individual patient level factors (primary payer of patient) may be associated with the odds of rehab admission rather than neighborhood factors. LEVEL OF EVIDENCE: Epidemiologic: Level III.

The impact of frailty and cognitive impairment on quality of life: employment and social context matter.

ABSTRACTBackground:How cognitive impairment and frailty combine to impact on older adults' Quality of Life (QoL) is little studied, but their inter-relationships are important given how often they co-occur. We sought to examine how frailty and cognitive impairment, as well as changes in frailty and cognition, are associated with QoL and how these relationships differ based on employment status and social circumstances. METHODS: Using the Survey of Health, Ageing, and Retirement in Europe data, we employed moderated regression, followed by simple slopes analysis, to examine how the relationships between levels of health (i.e., of frailty and cognition) and QoL varied as a function of sex, age, education, social vulnerability, and employment status. We used the same analysis to test whether the relationships between changes in health (over two years) and QoL varied based on these same moderators. RESULTS: Worse frailty (b = -1.61, p < .001) and cognitive impairment (b = -0.08, p < .05) were each associated with lower QoL. Increase in frailty (b = -2.17, p < .001) and cognitive impairment (b = -0.25, p < .001) were associated with lower QoL. The strength of these relationships varied depending on interactions with age, sex, education, social vulnerability, and employment status. Higher social vulnerability was consistently associated with lower QoL in analyses examining both static health (b = -3.16, p < .001) and change in health (b = -0.66, p < .001). CONCLUSIONS: Many predictors of QoL are modifiable, providing potential targets to improve older adults' QoL. Even so, the relationships between health, cognition, and social circumstances that shape QoL in older adults are complex, highlighting the importance for individualized interventions.