Measuring Material Hardship among the US Population of Women with Disabilities Using Latent Class Analysis

Rose, Roderick A.; Parish, Susan L.; Yoo, Joan

doi:10.1007/s11205-008-9428-z

Cited by 26 publications

(14 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Latent class analysis provides additional information by identifying underlying subgroups that are mutually exclusive and differ qualitatively on the types and patterns of needs experienced. 7,29,30 …”

Section: Discussionmentioning

confidence: 99%

Unmet basic needs and health intervention effectiveness in low-income populations

Kreuter

McQueen

Boyum

et al. 2016

Preventive Medicine

View full text Add to dashboard Cite

In the face of unmet basic needs, low SES adults are less likely to obtain needed preventive health services. The study objective was to understand how these hardships may cluster and how the effectiveness of different health-focused interventions might vary across vulnerable population sub-groups with different basic needs profiles. From June 2010–2012, a random sample of low-income adult callers to Missouri 2-1-1 completed a cancer risk assessment and received up to 3 health referrals for needed services (mammography, pap testing, colonoscopy, HPV vaccination, smoking cessation and smoke-free home policies). Participants received either a verbal referral only (N=365), verbal referral + tailored print reminder (N=372), or verbal referral + navigator (N=353). Participants reported their unmet basic needs at baseline and contacts with health referrals at 1-month post-intervention. We examined latent classes of unmet basic needs using SAS. Logistic regression examined the association between latent classes and contacting a health referral, by intervention condition. A 3 class solution best fit the data. For participants with relatively more unmet needs (C2) and those with money needs (C3), the navigator intervention was more effective than the tailored or verbal referral only conditions in leading to health referrals contacts. For participants with fewer unmet basic needs (C1), the tailored intervention was as effective as the navigator intervention. The distribution and nature of unmet basic needs in this sample of low-income adults was heterogeneous, and those with the greatest needs benefitted most from a more intensive navigator intervention in helping them seek needed preventive health services.

show abstract

Section: Discussionmentioning

confidence: 99%

Unmet basic needs and health intervention effectiveness in low-income populations

Kreuter

McQueen

Boyum

et al. 2016

Preventive Medicine

View full text Add to dashboard Cite

show abstract

“…Research by Boushey and Gundersen (2001) made a distinction between material hardships that are critical in terms of meeting basic needs (e.g., food insufficiency) versus those that are serious (e.g., lack of adequate childcare). Other researchers identified underlying dimensions of the concept of material hardship using latent class analysis (Rose, et al, 2009) and factor analysis (Carle et al, 2009). However, no standard measure of material hardship exists in the literature (Ouellete, Burstein, Long, & Beecroft, 2004).…”

Section: Materials Hardship and Povertymentioning

confidence: 99%

“…Research exploring the relationship between material hardship and work-limiting disabilities (Rose et al, 2009;She & Livermore, 2007) and health problems (Heflin, 2006;Heflin & Butler, 2013) indicated that this is the case. Other studies have demonstrated that transportation problems were associated with being disconnected from work and public assistance (Powers, Livermore, & Davis, 2013), and low levels of education served as a barrier to employment (Dworsky & Courtney, 2007).…”

Section: Income-and Resource-packaging Model Of Materials Hardshipmentioning

confidence: 99%

“…Prior work has focused on describing experiences of material hardship (Boushey & Gundersen, 2001;Iceland & Bauman, 2007) and assessing the influence of income (Beverly, 2001a;Mayer & Jencks, 1989;Sullivan et al, 2008), employment and public assistance (Danziger, Heflin, Corcoran, Oltmans, & Wang, 2002), disability (Carle, Bauman, & Short, 2009;Rose, Parish, & Yoon, 2009;She & Livermore, 2007), transitions in family structure (Osborne, Berger, & Magnuson, 2012), and personal characteristics (Sullivan et al, 2008) on material hardship experiences. Other research predicts entrances into and exits from material hardship experiences (Heflin & Butler, 2013) and describes the strategies used to respond to hardships (Heflin, London, & Scott, 2011).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Predicting Material Hardship Among Former Welfare-to-Work Participants: An Income- and Resource-Packaging Model

Livermore¹,

Powers²,

Lim³

et al. 2014

Journal of Social Service Research

View full text Add to dashboard Cite

Material hardship is of concern because it refers to physical deprivation related to meeting the basic needs of food, housing, utilities, and other items. This study tests a predictive income-and resource-packaging model of material hardship using survey data collected from 459 former welfare-to-work program participants. Logistic regression results show that receiving social support in the form of living rent-free decreased the odds for experiencing material hardship.

show abstract

“…These studies investigate additional facets of material hardship, including food insecurity (Rose, Parish, and Yoo 2009; Huang, Go, and Kim 2010), difficulties in meeting basic needs (She and Livermore 2007, Rose, Parish, and Yoo 2009), and multidimensional poverty measures that include measures of deprivation in social integration and civic engagement (Brucker et al 2014). These studies reach a consensus that, regardless of the measure of material hardship or multidimensional poverty used, people with disabilities experience higher rates of material hardship than people without disabilities, even adjusting for other variables that might predispose people with disabilities to a higher risk of material hardship (e.g., lower levels of education, higher rates of unemployment).…”

Section: Introductionmentioning

confidence: 99%

Disability, Poverty, and Material Hardship since the Passage of the ADA

Drew

2015

DSQ

View full text Add to dashboard Cite

The past 25 years have seen an unprecedented expansion in formal civil rights for people with disabilities that, among other things, was predicted to improve their economic well-being. Studies of economic well-being among people with disabilities have traditionally focused on employment and earnings, despite the fact that a minority of people with disabilities are employed. More recent literature has expanded to include measures of income poverty and material hardship, but has not examined trends in these dimensions of economic well-being over time or across different groups of people with disabilities. The current study uses nationally representative data covering the 1993-2010 period to examine trends over time in cross-sectional and dynamic measures of income poverty, and multiple dimensions of material hardship. It also describes differences in time trends by education, sex, race/ethnicity, and employment status among people with disabilities in income poverty and any material hardship. Levels of both material hardship and income poverty are high across the entire period for all groups, but while material hardship remains at the same level between 1993 and 2010, income poverty declines. These findings show that there has been little improvement over the past two decades in the economic well-being of people with disabilities, and additional research is needed to understand the mechanisms that keep even groups that are relatively privileged – college graduates and full-time, full-year workers – at very low levels of economic well-being.

show abstract

Measuring Material Hardship among the US Population of Women with Disabilities Using Latent Class Analysis

Abstract: Material hardship, Disability, Latent class analysis, Poverty,

Cited by 26 publications

References 53 publications

Unmet basic needs and health intervention effectiveness in low-income populations

Unmet basic needs and health intervention effectiveness in low-income populations

Predicting Material Hardship Among Former Welfare-to-Work Participants: An Income- and Resource-Packaging Model

Disability, Poverty, and Material Hardship since the Passage of the ADA

Contact Info

Product

Resources

About