Income, Poverty, and Material Hardship Among Older
                    Americans

Levy, Helen

doi:10.7758/rsf.2015.1.1.04

Cited by 23 publications

(9 citation statements)

References 44 publications

(56 reference statements)

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“…In addition, annual household income (less than $10,000 per year), houses in need of repairs, and over-crowding, all indicators of social determinants of health consistent with poverty [ 42 – 44 ] were associated with high ESS scores. The relationship of poverty to sleep disturbance has been described for non-Indigenous populations [ 45 – 47 ].…”

Section: Discussionmentioning

confidence: 99%

Determinants of excessive daytime sleepiness in two First Nation communities

et al. 2017

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BackgroundExcessive daytime sleepiness may be determined by a number of factors including personal characteristics, co-morbidities and socio-economic conditions. In this study we identified factors associated with excessive daytime sleepiness in 2 First Nation communities in rural Saskatchewan.MethodsData for this study were from a 2012–13 baseline assessment of the First Nations Lung Health Project, in collaboration between two Cree First Nation reserve communities in Saskatchewan and researchers at the University of Saskatchewan. Community research assistants conducted the assessments in two stages. In the first stage, brochures describing the purpose and nature of the project were distributed on a house by house basis. In the second stage, all individuals age 17 years and older not attending school in the participating communities were invited to the local health care center to participate in interviewer-administered questionnaires and clinical assessments. Excessive daytime sleepiness was defined as Epworth Sleepiness Scale score > 10.ResultsOf 874 persons studied, 829 had valid Epworth Sleepiness Scale scores. Of these, 91(11.0%) had excessive daytime sleepiness; 12.4% in women and 9.6% in men. Multivariate logistic regression analysis indicated that respiratory comorbidities, environmental exposures and loud snoring were significantly associated with excessive daytime sleepiness.ConclusionsExcessive daytime sleepiness in First Nations peoples living on reserves in rural Saskatchewan is associated with factors related to respiratory co-morbidities, conditions of poverty, and loud snoring.

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Section: Discussionmentioning

confidence: 99%

Determinants of excessive daytime sleepiness in two First Nation communities

et al. 2017

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“…The final unweighted sample for subsequent analyses included 3,203 respondents (men). Additional information describing HRS in greater detail can be found elsewhere ( Sonnega et al, 2014 ; Levy, 2015 , p. 58; Heeringa & Connor, 1995 ; Juster & Suzman, 1995 ).…”

Section: Methodsmentioning

confidence: 99%

Pain and Hardship Among Older Men: Examining the Buffering Effect of Medicare Insurance Coverage

et al. 2018

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To better understand the health status of men in the United States, this study aimed to assess the association of hardship on the presence of and pain severity among men 50 years of age and older. Cross-sectional multivariate logistic regression analyses were conducted using the 2010 wave of the Health and Retirement Study (N = 3,174) to assess the association between four hardship indicators and the presence of pain and pain severity among this sample of older men.Results suggest that the association between the presence of pain and hardship was statistically significant across all four indicators: ongoing financial hardship (CI [1.05, 1.63], p < .05), difficulty paying bills (CI [1.42, 3.02], p < .001), food insecurity (CI [1.46, 3.15], p < .001), and not taking medication due to cost (CI [1.06, 1.66], p < .05), even after adjusting for all demographic factors.The associations between pain severity and ongoing financial strain (CI [1.23, 2.83], p < .01) and difficulty paying bills (CI [1.02, 3.18], p < .05) were statistically significant. Results also indicate that education was a buffer at all levels. In addition, the interactive effect of hardship and Medicare insurance coverage on pain severity was significant only for ongoing financial strain (CI [1.74, 14.33], p > .001) and difficulty paying bills (CI [1.26, 7.05], p < .05). The evidence is clear that each hardship indicators is associated with the presence of pain and across some of the indicators in pain severity among men aged 50 and older. In addition, these findings stress the importance that Medicare insurance plays in acting as a buffer to alleviate some of the hardships experienced by older men. These findings also highlight the association between the presence of pain and pain severity for the overall quality of life, health outcomes, and financial position of men in later life.

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“…FI risk is tightly linked to socioeconomic status, but individuals and households deficient in social support, physical capabilities, adequate food environments, or food management skills are also at risk (3). Older adults and low-income minority populations often encounter many of these vulnerabilities concurrently (4–7). Furthermore, potential consequences associated with FI, including poor mental health (8,9), chronic disease (10,11), and related risk factors (10,12,13), are also prevalent among older, minority adults (14,15).…”

Section: Introductionmentioning

confidence: 99%