Targeting the Elderly to Meet the Housing Needs of Very Low and Low Income Families

1993 ◽  
Vol 12 (3) ◽  
pp. 241-248 ◽  
Author(s):  
Deborah A. Howe ◽  
Tamara DeRidder
Keyword(s):  
Low Income ◽  
The Elderly ◽  
Housing Needs ◽  
Low Income Families

Emerging Adult Essay

2017 ◽  
Author(s):  
Tsang Suet Yee Michelle
Keyword(s):  
Hong Kong ◽  
Secondary School ◽  
Low Income ◽  
Emerging Adult ◽  
The Elderly ◽  
Chinese Student ◽  
Low Income Families ◽  
The University

I am a 19-year-old female Chinese student studying business and law at the University of Hong Kong. I have participated in volunteering activities since secondary school. I taught computer classes for the elderly and gave free lessons to children from low-income families. I hosted games for the mentally challenged. I took part in flag-selling activities. I also participated in a service trip last year....

scholarly journals Obesity and underweight among Brazilian elderly: the Bambuí Health and Aging Study

2003 ◽  
Vol 19 (2) ◽  
pp. 605-612 ◽  
Author(s):  
Sandhi M. Barreto ◽  
Valéria M. A. Passos ◽  
Maria Fernanda F. Lima-Costa
Keyword(s):  
Low Income ◽  
Family Income ◽  
Social Deprivation ◽  
Multinomial Logistic Regression ◽  
Female Gender ◽  
The Elderly ◽  
Nutritional Deficiencies ◽  
Related Factors ◽  
Low Income Families ◽  
Cruzi Infection

The coexistence of obesity (body mass index, BMI > or = 30kg/m²) and underweight (BMI <= 20kg/m²) and related factors were investigated among all residents aged 60+ years in Bambuí, Minas Gerais State, using multinomial logistic regression. 1,451 (85.5%) of the town's elderly participated. Mean BMI was 25.0 (SD = 4.9kg/m²) and was higher for women and decreased with age. Prevalence of obesity was 12.5% and was positively associated with female gender, family income, hypertension, and diabetes and inversely related to physical activity. Underweight affected 14.8% of participants, increased with age, and was higher among men and low-income families. It was negatively associated with hypertension and diabetes and directly associated with Trypanosoma cruzi infection and > or = 2 hospitalizations in the previous 12 months. Both obesity and underweight were associated with increased morbidity. The association of underweight with T. cruzi infection, increased hospitalization, and low family income may reflect illness-related weight loss and social deprivation of elderly in this community. Aging in poverty may lead to an increase in nutritional deficiencies and health-related problems among the elderly.

The Impact of Health Care Financing on Family Budgets

1994 ◽  
Vol 24 (4) ◽  
pp. 691-714 ◽  
Author(s):  
Edith Rasell ◽  
Jared Bernstein ◽  
Kainan Tang
Keyword(s):  
Health Care ◽  
Low Income ◽  
Private Insurance ◽  
The Elderly ◽  
High Income ◽  
Medical Expenditure ◽  
Health Care Spending ◽  
Expenditure Survey ◽  
Low Income Families ◽  
The Impact

Although businesses, federal and state governments, and insurance companies are major funding sources for health care, they are just intermediate sources. Ultimately, individuals and families pay all health care costs through out-of-pocket spending, insurance premiums, or federal, state, and local taxes. Using a microsimulation model with data from the 1987 National Medical Expenditure Survey, the Internal Revenue Service's Individual Tax Model, and the Consumer Expenditure Survey, the authors examine the distribution of health care spending, by decile, among families and individuals. They find that the distribution of health expenditures is very regressive, with low-income families paying twice the share of income paid by high-income families. The distribution of out-of-pocket expenditures, which comprise 24 percent of total spending, is the most regressive, with low-income families paying 8.5 times the share of income paid by high-income families. Spending on premiums is also regressive, and the regressivity would increase if everyone had private insurance. Expenditures through the public sector are progressive. Regressivity is greater among the elderly than the nonelderly. Out-of-pocket expenditures account for 41 percent of all health care spending by the elderly. A more equitably financed health care system would increase the share of funding raised through progressive taxes, and decrease reliance on expenditures made out of pocket and on premiums.

scholarly journals THE DEAL WITH POVERTY STRATEGIES OF WOMEN IN LOW INCOME FAMILIES

2021 ◽  
Vol 13 (1) ◽  
pp. 199-225
Author(s):  
Hıdır ÖNÜR ◽  
Berkay ERGÖZ
Keyword(s):  
Low Income ◽  
Research Method ◽  
The Elderly ◽  
Structured Interview ◽  
Negative Consequences ◽  
Analysis Method ◽  
Face To Face ◽  
Purposeful Sampling ◽  
Production Strategy ◽  
Low Income Families

The fact of poverty one of the ways global inequalities appears affects societies especially in developing countries but this impact occurs in different forms and levels in different segments of population (women, the elderly, children, etc.). Therefore, different segments of population can develop different strategies to cope with the negative consequences of poverty. In this study, it is aimed to determine which strategies women have developed to combat poverty in low income families. For this purpose, indepth interviews were conducted with 8 women selected by purposeful sampling from low income families within the scope of qualitative research method. The interviews using the semi-structured interview form were conducted face to face. The data obtained from the interviews were evaluated using thematic analysis method. The research concluded that women have developed five strategies to combat poverty and the themes on which these strategies are evaluated are: (i) Delaying needs strategy, (ii) Optimal spending strategy, (iii) Household production strategy, (iv) Multi-use strategy, (v) Avoiding waste strategy. Key Words: Poverty, dealing with poverty strategies, low income families, women.

Improving Access to Health Care for Children, Youth, and Pregnant Women

PEDIATRICS ◽  
1990 ◽  
Vol 86 (4) ◽  
pp. 626-635
Author(s):  
PAUL W. NEWACHECK
Keyword(s):  
Health Care ◽  
Low Income ◽  
Access To Health Care ◽  
Community Health Centers ◽  
Universal Access ◽  
Insurance Coverage ◽  
The Elderly ◽  
Health Insurance Coverage ◽  
Access To Health ◽  
Low Income Families

Twenty-five years ago it seemed that America was on the verge of universal health care coverage.1 A large and growing number of workers and their dependents had gained employer-based health insurance coverage.2 Medicaid and Medicare were enacted to serve the needs of those who did not work—notably the poor and the elderly. Direct service programs, such as community health centers, maternal and infant care projects, and children and youth projects, were also established in the mid-1960s to serve low-income families. At the time, it appeared that this pluralistic approach to financing health care was leading to universal access to health care.

Demonstrating Nutrient Cost Gradients: A Brooklyn Case Study

2014 ◽  
Vol 84 (5-6) ◽  
pp. 244-251 ◽  
Author(s):  
Robert J. Karp ◽  
Gary Wong ◽  
Marguerite Orsi
Keyword(s):  
Low Income ◽  
Energy Content ◽  
Food Selection ◽  
The United States ◽  
United States Department ◽  
Micronutrient Deficiencies ◽  
Caloric Density ◽  
Low Income Families ◽  
The Cost ◽  
The Impact

Abstract. Introduction: Foods dense in micronutrients are generally more expensive than those with higher energy content. These cost-differentials may put low-income families at risk of diminished micronutrient intake. Objectives: We sought to determine differences in the cost for iron, folate, and choline in foods available for purchase in a low-income community when assessed for energy content and serving size. Methods: Sixty-nine foods listed in the menu plans provided by the United States Department of Agriculture (USDA) for low-income families were considered, in 10 domains. The cost and micronutrient content for-energy and per-serving of these foods were determined for the three micronutrients. Exact Kruskal-Wallis tests were used for comparisons of energy costs; Spearman rho tests for comparisons of micronutrient content. Ninety families were interviewed in a pediatric clinic to assess the impact of food cost on food selection. Results: Significant differences between domains were shown for energy density with both cost-for-energy (p < 0.001) and cost-per-serving (p < 0.05) comparisons. All three micronutrient contents were significantly correlated with cost-for-energy (p < 0.01). Both iron and choline contents were significantly correlated with cost-per-serving (p < 0.05). Of the 90 families, 38 (42 %) worried about food costs; 40 (44 %) had chosen foods of high caloric density in response to that fear, and 29 of 40 families experiencing both worry and making such food selection. Conclusion: Adjustments to USDA meal plans using cost-for-energy analysis showed differentials for both energy and micronutrients. These differentials were reduced using cost-per-serving analysis, but were not eliminated. A substantial proportion of low-income families are vulnerable to micronutrient deficiencies.

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