Gender differences in health-related quality-of-life are partly explained by sociodemographic and socioeconomic variation between adult men and women in the US: evidence from four US nationally representative data sets

Cherepanov, Dasha; Palta, Mari; Fryback, Dennis G.; Robert, Stephanie A.

doi:10.1007/s11136-010-9673-x

Cited by 179 publications

(171 citation statements)

References 29 publications

(57 reference statements)

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“…7 It is known that Mexican Americans with low education levels have poorer HR-QOL 8 and that they have low rates of regular access to health care. 9 Based on evidence of diff erences in QOL among African Americans with COPD and of the role of socioeconomic factors in explaining diff erences in HS in vulnerable groups, 10,11 we hypothesize that diff erences exist in HR-QOL in Mexican American participants with OLD in the National Health and Nutrition Examination Survey (NHANES) and that socioeconomic disparities (education and access to health care) contribute to the diff erences in OLD-related HS.…”

mentioning

confidence: 99%

Socioeconomic Characteristics Are Major Contributors to Ethnic Differences in Health Status in Obstructive Lung Disease

Martínez

Mannino

Curtis

et al. 2015

Chest

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mentioning

confidence: 99%

Socioeconomic Characteristics Are Major Contributors to Ethnic Differences in Health Status in Obstructive Lung Disease

Martínez

Mannino

Curtis

et al. 2015

Chest

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“…This may be important because in general population cohorts, women have been shown to have worse QOL than men (EQ-5D 0.88 for men and 0.86 for women). 40 Sex differences in QOL prestroke could partially explain the difference observed poststroke. Going forward, longitudinal cohorts that collect QOL and functional status before incident stroke could potentially address this problem.…”

Section: 35-710-14mentioning

confidence: 99%

Sex differences in quality of life after ischemic stroke

et al. 2014

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Objective: We aimed to compare quality of life (QOL) in women and men after ischemic stroke or TIA, and to determine the incremental impact of demographic, socioeconomic, clinical, and stroke-specific effects on longitudinal QOL. Methods:We assessed QOL in patients with ischemic stroke or TIA at 3 and 12 months postdischarge in the Adherence eValuation After Ischemic stroke-Longitudinal Registry using the European Quality of Life-5 Dimensions (EQ-5D) instrument. We generated multivariable linear regression models to evaluate the association between sex and EQ-5D while sequentially adjusting for sociodemographic, clinical, and stroke-related variables. We also used a proportional odds model to assess sex differences in the change in EQ-5D scores from 3 to 12 months.Results: A total of 1,370 patients were included, 53.7% male, median age 65 years (interquartile range 56-77 years). Women had significantly lower QOL at 3 months (unadjusted EQ-5D 0.81 in women vs 0.84 in men; p , 0.001) and 12 months (0.83 vs men 0.84; p , 0.001) poststroke. After multivariable adjustment for sociodemographic, clinical, and stroke-related factors, women continued to have lower QOL at 3 months (mean difference 20.036; p 5 0.003) and at 12 months (mean difference 20.022; p 5 0.046). Women fared worse in the dimensions of mobility, pain/ discomfort, and anxiety/depression at 3 and 12 months. There were no sex differences in change in EQ-5D score from 3 to 12 months. Conclusion:Women have worse QOL than men up to 12 months after stroke, even after adjusting for important sociodemographic variables, stroke severity, and disability. Neurology ® 2014;82:922-931 GLOSSARY ADL 5 activities of daily living; AVAIL 5 Adherence eValuation After Ischemic stroke-Longitudinal; CI 5 confidence interval; EQ-5D 5 European Quality of Life-5 Dimensions; GWTG-Stroke 5 Get With The Guidelines-Stroke; mRS 5 modified Rankin Scale; NIHSS 5 NIH Stroke Scale; OR 5 odds ratio; QOL 5 quality of life.Because stroke has dropped from the third to the fourth leading cause of death, 1 increasing attention should be given to improving quality of life (QOL) for stroke survivors. Several patient factors, including age, socioeconomic status, stroke severity, mood, and sex (particularly societal roles), may influence QOL after stroke.2-4 Multiple studies, 5-14 but not all, [15][16][17][18] have shown that women have worse QOL after stroke than men, particularly in the domains of mental and physical function. 5,6,10,14 The timing and longitudinal assessment of QOL may be important, as sex differences may be greater early after stroke, then diminish over the long term with rehabilitation and recovery. 19 Whether there are truly differences in QOL for men and women independent of these factors is uncertain.Our aims in this analysis were to (1) compare QOL in men and women at 3 and 12 months, (2) compare the change in QOL over time between men and women, and (3) determine the incremental impact of demographic, socioeconomic, clinical, and stroke-specific effects on long...

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“…All scores on the SF-36 of our CML population were compared against previously published Italian population norms 10,12 and adjusted for the following key possible HRQOL confounders: age, sex, education, geographic area, and marital status. [13][14][15] Patient reported symptoms were measured with an ad hoc 9-item checklist for CML patients undergoing imatinib treatment. 16 Items were rated on a 4-point Likert scale to be consistent with validated symptom scales/items included in other psychometric robust measures.…”

Section: Patient-reported Outcome Data Collectionmentioning

confidence: 99%

Health-related quality of life in chronic myeloid leukemia patients receiving long-term therapy with imatinib compared with the general population

Efficace

Baccarani

Breccia

et al. 2011

Blood

220

142

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The main objective of this study was to investigate whether patients with chronic myeloid leukemia (CML) in treatment with long-term therapy imatinib have a different health-related quality-of-life (HRQOL) profile compared with the general population. In total, 448 CML patients were enrolled, and the SF-36 Health Survey was used to compare generic HRQOL profiles. Symptoms were also assessed. HRQOL comparisons were adjusted for key possible confounders. The median age of patients was 57 years and the median time of imatinib treatment was 5 years (range 3-9 years). The largest HRQOL differences were found in younger patients. In particular, patients aged between 18 and 39 years had marked impairments in role limitations because of physical and emotional problems, respectively: ؊22.6 (P < .001), ؊22.3 (P < .001). Patients with CML age 60 or older had a HRQOL profile very similar to that reported by the general population. Women had a worse profile than men when each were compared with their peers in the general population. Fatigue was the most frequently reported symptom. The HRQOL of CML patients is comparable with that of population norms in many areas, however, younger and female patients seem to report the major limitations. (Blood. 2011;118(17):4554-4560)

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Gender differences in health-related quality-of-life are partly explained by sociodemographic and socioeconomic variation between adult men and women in the US: evidence from four US nationally representative data sets

Cited by 179 publications

References 29 publications

Socioeconomic Characteristics Are Major Contributors to Ethnic Differences in Health Status in Obstructive Lung Disease

Socioeconomic Characteristics Are Major Contributors to Ethnic Differences in Health Status in Obstructive Lung Disease

Sex differences in quality of life after ischemic stroke

Health-related quality of life in chronic myeloid leukemia patients receiving long-term therapy with imatinib compared with the general population

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