OBJECTIVES: This study examined predictors of entry into shelter and subsequent housing stability for a cohort of families receiving public assistance in New York City. METHODS: Interviews were conducted with 266 families as they requested shelter and with a comparison sample of 298 families selected at random from the welfare caseload. Respondents were reinterviewed 5 years later. Families with prior history of shelter use were excluded from the follow-up study. RESULTS: Demographic characteristics and housing conditions were the most important risk factors for shelter entry; enduring poverty and disruptive social experiences also contributed. Five years later, four fifths of sheltered families had their own apartment. Receipt of subsidized housing was the primary predictor of housing stability among formerly homeless families (odds ratio [OR] = 20.6, 95% confidence interval [CI] = 9.9, 42.9). CONCLUSIONS: Housing subsidies are critical to ending homelessness among families.
This study compares social relationships of 677 mothers in families requesting shelter with those of 495 mothers in housed families, randomly selected from the public assistance caseload in New York City. As hypothesized, women seeking shelter had experienced higher levels of a variety of childhood and adult events indicative of disruptions in social relationships. Contrary to our hypothesis, they were more likely than were housed mothers to have had recent contact with parents, other relatives, and friends, although they felt less able to draw on these resources for help with their current housing needs. More than three fourths of families seeking shelter had already stayed with members of their social network in the past year. The data suggest that they had used up potential sources of support before turning to public shelter.
Objective Obesity is a pressing public health problem without proven population-wide solutions. Researchers sought to determine whether a city-mandated policy requiring calorie labeling at fast food restaurants was associated with consumer awareness of labels, calories purchased and fast food restaurant visits. Design and Methods Difference-in-differences design, with data collected from consumers outside fast food restaurants and via a random digit dial telephone survey, before (December 2009) and after (June 2010) labeling in Philadelphia (which implemented mandatory labeling) and Baltimore (matched comparison city). Measures included: self-reported use of calorie information, calories purchased determined via fast food receipts, and self-reported weekly fast-food visits. Results The consumer sample was predominantly Black (71%), and high school educated (62%). Post-labeling, 38% of Philadelphia consumers noticed the calorie labels for a 33 percentage point (p<.001) increase relative to Baltimore. Calories purchased and number of fast food visits did not change in either city over time. Conclusions While some consumer reports noticing and using calorie information, no population level changes were noted in calories purchased or fast food visits. Other controlled studies are needed to examine the longer term impact of labeling as it becomes national law.
We examined the incidence, characteristics, and predictors of separations of children from mothers in 543 poor families receiving public assistance, 251 of whom had experienced homelessness during the previous 5 years. Forty-four percent of the homeless mothers and 8% of housed mothers were separated from one or more children. A total of 249 children were separated from 110 homeless families and 34 children from 23 housed families. Children were placed with relatives and in foster care but were rarely returned to their mothers. Maternal drug dependence, domestic violence, and institutionalization predicted separations, but homelessness was the most important predictor, equivalent in size to 1.9 other risk factors. We infer that policies regarding child welfare and substance abuse treatment should be changed to reduce unnecessary placements. Studies of homeless children who remain with families may be biased if separated children are excluded.
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