"Associations among county-level social determinants of health, child maltreatment, and emotional support on health-related quality of life in adulthood": Correction to Barile et al. (2014).

2015 ◽  
Vol 5 (2) ◽  
pp. 191-191
2020 ◽  
Vol 6 ◽  
pp. 233372142097983
Author(s):  
Caress A. Dean

Objective: Studies show perceived health-related quality of life (HRQL) is associated with cardiovascular health (CVH) status; however, there is a limited understanding of underlying determinants of the CVH and HRQL of adults ≥50 years. Therefore, this study’s objective was to examine social determinants of health (SDOH) associated with Michigan residents ≥50 years HRQL measures and CVH status. Methods: Michigan-level data was extracted from the 2017 Behavioral Risk Factor Surveillance System to complete the study’s objective. The data were weighted to obtain state-level estimates. Multinomial and binary logistic regression analyses identified SDOH significantly associated with Michiganders ≥50 years CVH status and HRQL measures. Results: The sample consisted of 10,889 participants. Compared to residents with a moderate CVH and mental health status, residents who reported unable to visit a doctor due to costs were two times more likely than those who were able to visit a provider to have a non-ideal CVH and mental health status (OR = 2.65; 95% CI: 1.39–5.07). Discussion: SDOH were significantly associated with non-ideal CVH and HRQL measures. Interventions that seek to address the CVH and perceive HRQL of residents ≥50 years should also address their underlying SDOH. Research should be performed to determine the generalizability of these findings.


2021 ◽  
Vol 35 (3) ◽  
pp. 168-184
Author(s):  
Yung-Chen Jen Chiu ◽  
KB Boomer ◽  
Liza Conyers ◽  
Yili Wang ◽  
Mark Misrok

PurposeThe current study examined the relationships between health-related quality of life (HRQOL) and social determinants of health (SDH), which are the individual and structural factors that contribute to health outcomes.MethodA hierarchical general linear model was used to assess the sequential effect of the SDH on the scores of the Short Form-12 among people living with HIV.ResultsResults show that many psychosocial, medical, demographic, financial, and vocational factors are significant predictors of HRQOL.ConclusionsGaining a deeper understanding of the impact of SDH on HRQOL is critical for rehabilitation counselors to develop effective assessments and interventions.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Janel Hanmer

Abstract Background Self-reported health-related quality of life is an important population health outcome, often assessed using a single question about self-rated health (SRH). The Patient Reported Outcomes Measurement Information System (PROMIS) is a new set of measures constructed using item response theory, so each item contains information about an underlying construct. This study’s objective is to assess the association between SRH and PROMIS scores and social determinants of health (SDoH) to evaluate the use of PROMIS for measuring population health. Methods A cross sectional survey of 4142 US adults included demographics, 7 PROMIS domains with 2 items each, the PROMIS-preference (PROPr) score, self-rated health (SRH), 30 social determinants of health (SDoH), and 12 chronic medical conditions. SDoH and chronic condition impact estimates were created by regressing the outcome (PROMIS domain, PROPr, or SRH) on demographics and SDoH or a single chronic condition. Linear regression was used for PROMIS domains and PROPr; ordinal logistic regression was used for SRH. Results Both SRH and PROPr detected statistically significant differences for 11 of 12 chronic conditions. Of the 30 SDoH, 19 statistically significant differences were found by SRH and 26 statistically significant differences by PROPr. The SDoH with statistically significant differences included those addressing education, income, financial insecurity, and social support. The number of statistically significant differences found for SDoH varies by individual PROMIS domains from 13 for Sleep Disturbance to 25 for Physical Function. Conclusions SRH is a simple single question that provides information about health-related quality of life. The 14 item PROMIS measure used in this study detects more differences in health-related quality of life for social determinants of health than SRH. This manuscript illustrates the relative costs and benefits of each approach to measuring health-related quality of life.


Author(s):  
Yuxuan Gu ◽  
Hao Zhang ◽  
Shahmir H. Ali ◽  
Minzhuo Huang ◽  
Jingming Wei ◽  
...  

Social determinants are closely related to health and play a significant role in shaping the quality of life of a population. This study aimed to explore the differences in HRQoL (health-related quality of life) scores of residents in the eastern province of Zhejiang and the western province of Qinghai and probe factors affecting the HRQoL among the two populations. A sample of 4210 residents from a cross-sectional survey was included in the analysis. The EQ-5D-3L instrument was used to measure the HRQoL of residents. A Chi-square test and a t-test were used to examine the differences between different variables and analysis of variance (ANOVA) with interaction effects was used to analyze factors associated with the HRQoL between the two provinces. Residents’ EQ-5D index score (EQ VAS score) was 0.963 (82.71) and 0.962 (81.51), respectively, in Zhejiang and Qinghai. Generally, residents in Qinghai displayed significantly worse HRQoL scores than those in Zhejiang. The differences between the two regions lay on mobility, pain/discomfort, and anxiety/depressions. In both regions, an increased education level and being employed were most strongly associated with a positive HRQoL; increased age and presence of chronic diseases were most strongly associated with a negative HRQoL. When formulating health policies, the significant health disparities between western and eastern provinces must be given greater consideration. The health of vulnerable groups should be particularly focused on to improve the observed health disparities.


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