Low-Income Multigenerational Households

2008 ◽  
Vol 29 (7) ◽  
pp. 851-881 ◽  
Author(s):  
Laura D. Pittman ◽  
Michelle K. Boswell
Keyword(s):  
Problem Behaviors ◽  
Low Income ◽  
Culturally Diverse ◽  
Children And Families ◽  
Effective Parenting ◽  
Multigenerational Households ◽  
Positive Behaviors ◽  
Culturally Diverse Families ◽  
Race Ethnicity ◽  
Using Data

This article compares characteristics of families, mothers, and children on the basis of whether their household is multigenerational, using data from Welfare, Children, and Families: A Three-City Study, which samples low-income culturally diverse families. Few differences were found between multigenerational and nonmultigenerational households, although mothers in multigenerational households reported more internalizing behaviors and fewer positive behaviors in their children. However, interactions between household type, mothers' age, and race/ethnicity reveal that all multigenerational households are not alike. Multigenerational households with younger mothers tend to use less effective parenting and have children who are experiencing more problem behaviors. Race/ethnicity further moderates these associations in models predicting mothers' mental health and children's academic achievement. Possible reasons for these differences by mothers' age and race/ethnicity are discussed.

Analyzing the Validity of the Adult-Adolescent Parenting Inventory for Low-Income Populations

2015 ◽  
Vol 27 (4) ◽  
pp. 441-455 ◽  
Author(s):  
Michael A. Lawson ◽  
Tania Alameda-Lawson ◽  
Edward Byrnes
Keyword(s):  
Factor Analysis ◽  
Low Income ◽  
Latent Variable ◽  
Culturally Diverse ◽  
Latent Class ◽  
High Reliability ◽  
Adolescent Parenting ◽  
Confirmatory Factor ◽  
Using Data ◽  
Reliability Coefficients

Objectives: The purpose of this study was to examine the construct and predictive validity of the Adult-Adolescent Parenting Inventory (AAPI-2). Methods: The validity of the AAPI-2 was evaluated using multiple statistical methods, including exploratory factor analysis, confirmatory factor analysis, and latent class analysis. These analyses were conducted using data collected from a culturally diverse sample of 2,160 low-income parents. Results: Although the AAPI-2 yielded high reliability coefficients, analyses of the instrument’s validity diverged significantly from the results reported by the instrument’s developers. Specifically, the instruments’ reported five-factor structure was not supported in this study. Moreover, parents’ AAPI-2 scores were not associated with child abuse as originally hypothesized. However, when the AAPI-2 was analyzed as a categorical latent variable, the results were useful in identifying parents who were unlikely to abuse or neglect their children. Conclusion: Further replication and extension research on the AAPI-2 with other low-income populations is warranted.

Prevalence and Patterns of Discrimination among U.S. Health Care Consumers

2003 ◽  
Vol 33 (2) ◽  
pp. 331-344 ◽  
Author(s):  
Thomas A. LaVeist ◽  
Nicole C. Rolley ◽  
Chamberlain Diala
Keyword(s):  
Health Care ◽  
Social Status ◽  
Low Income ◽  
Minority Health ◽  
Sex Discrimination ◽  
Age Discrimination ◽  
Class Discrimination ◽  
Disability Status ◽  
Race Ethnicity ◽  
Using Data

The authors examine the prevalence and patterns of perceived discrimination in the U.S. health care system and examine social status variables as determinants, using data from the Commonwealth Fund's Minority Health Survey. The primary social status groups of interest are age, race, ethnicity, social class, sex, and health status. Each social status category placed respondents at greater risk of perceiving discrimination based on the corresponding source of discrimination. That is, younger respondents were more likely to perceive age discrimination than were older respondents. African Americans and Hispanics perceived more race discrimination than whites. Low-income individuals experienced class discrimination, women experienced sex discrimination, and individuals who reported being in poor health were more likely to perceive discrimination based on health or disability status.

scholarly journals Neighborhood Access to Transit by Race, Ethnicity, and Poverty in Portland, OR

2013 ◽  
Vol 12 (2) ◽  
pp. 134-155 ◽  
Author(s):  
Brian S. McKenzie
Keyword(s):  
Vulnerable Populations ◽  
Low Income ◽  
Spatial Mismatch ◽  
Low Income Population ◽  
The Poor ◽  
Race Ethnicity ◽  
High Concentrations ◽  
Using Data ◽  
In Transit ◽  
Housing Options

Scholarly discussions of accessibility and spatial mismatch largely ignore transit's role in linking vulnerable populations to opportunity. Yet as the nation's low–income population has become more suburban in recent decades, transit access may become an increasingly valuable, yet scarcer link to opportunity for those with the fewest resources and housing options. This study explores differences in transit access for neighborhoods with high concentrations of heavy transit users. Using data from the 2000 Census and the 5–year 2005–2009 ACS, it compares changes in transit access levels across neighborhoods with high concentrations of blacks, Latinos, and the poor in Portland, OR. Results show that Portland's neighborhoods of Latino concentration had the poorest relative access to transit. Further, levels of transit access declined for neighborhoods of black and Latino concentration during the study period.

Understanding Culturally Diverse Families

1995 ◽  
Vol 40 (1) ◽  
pp. 51-52
Author(s):  
Kathryn J. Lindholm
Keyword(s):  
Culturally Diverse ◽  
Diverse Families ◽  
Culturally Diverse Families

Child care: implications for overweight / obesity in Canadian children?

2012 ◽  
Vol 33 (1) ◽  
pp. 1-11 ◽  
Author(s):  
L McLaren ◽  
M Zarrabi ◽  
DJ Dutton ◽  
MC Auld ◽  
JCH Emery
Keyword(s):  
Child Care ◽  
Low Income ◽  
Labour Force ◽  
Overweight And Obesity ◽  
Ongoing Research ◽  
Daycare Centre ◽  
Relative Care ◽  
Participation Of Women ◽  
Sociodemographic Correlates ◽  
Using Data

Introduction Over recent decades, two prominent trends have been observed in Canada and elsewhere: increasing prevalence of childhood overweight and obesity, and increasing participation of women (including mothers) in the paid labour force and resulting demand for child care options. While an association between child care and children's body mass index (BMI) is plausible and would have policy relevance, its existence and nature in Canada is not known. Methods Using data from the National Longitudinal Survey of Children and Youth, we examined exposure to three types of care at age 2/3 years (care by non-relative, care by relative, care in a daycare centre) in relation to change in BMI percentile (continuous and categorical) between age 2/3 years and age 6/7 years, adjusting for health and sociodemographic correlates. Results Care by a non-relative was associated with an increase in BMI percentile between age 2/3 years and age 6/7 years for boys, and for girls from households of low income adequacy. Conclusion Considering the potential benefits of high-quality formal child care for an array of health and social outcomes and the potentially adverse effects of certain informal care options demonstrated in this study and others, our findings support calls for ongoing research on the implications of diverse child care experiences for an array of outcomes including those related to weight.

scholarly journals Income, wealth and use of personal protection equipment in the Mekong Delta

2021 ◽  
Author(s):  
Matteo Migheli
Keyword(s):  
Low Income ◽  
Mekong Delta ◽  
Developed Countries ◽  
Household Wealth ◽  
Protective Equipment ◽  
Personal Protection ◽  
Personal Protection Equipment ◽  
Management Techniques ◽  
Using Data ◽  
Developing And Developed Countries

AbstractBoth in developing and developed countries, farmers often do not protect themselves adequately, especially when applying agrochemicals that are dangerous for their health. The issue is relevant because insufficient protection is between the causes leading to intoxication of farmers and workers who handle these products. The literature suggests that both lack of training and information and low income may explain why, especially in developing countries, protective equipment is under-used. Using data from the Mekong Delta, this study addresses the issue of whether income and household wealth may help explaining the use of incomplete protections against pesticides. The results suggest that income, more than wealth, is a reason why Vietnamese farmers operating in the Mekong Delta fail in using adequate protections. In particular, the data suggest that they may prefer to divert resources to increasing the production of their fields or to buying goods that may be used both as protection and as everyday garments. This behaviour leads to underinvestment in some important protective goods. Possible public interventions to mitigate the problem are suggested; in particular, the promotion of integrated pest management techniques could be useful.

scholarly journals Health and Housing Energy Expenditures: A Two-Part Model Approach

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 943
Author(s):  
Fátima Lima ◽  
Paula Ferreira ◽  
Vítor Leal
Keyword(s):  
Low Income ◽  
Health Expenditures ◽  
Household Level ◽  
Energy Expenditures ◽  
Health And Wellbeing ◽  
Health Gains ◽  
Key Factor ◽  
Using Data ◽  
Part Model ◽  
Model Approach

Interest in the interaction between energy and health within the built environment has been increasing in recent years, in the context of sustainable development. However, in order to promote health and wellbeing across all ages it is necessary to have a better understanding of the association between health and energy at household level. This study contributes to this debate by addressing the case of Portugal using data from the Household Budget Survey (HBS) microdata database. A two-part model is applied to estimate health expenditures based on energy-related expenditures, as well as socioeconomic variables. Additional statistical methods are used to enhance the perception of relevant predictors for health expenditures. Our findings suggest that given the high significance and coefficient value, energy expenditure is a relevant explanatory variable for health expenditures. This result is further validated by a dominance analysis ranking. Moreover, the results show that health gains and medical cost reductions can be a key factor to consider on the assessment of the economic viability of energy efficiency projects in buildings. This is particularly relevant for the older and low-income segments of the population.

scholarly journals The convergence of racial and income disparities in health insurance coverage in the United States

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
De-Chih Lee ◽  
Hailun Liang ◽  
Leiyu Shi
Keyword(s):  
Health Insurance ◽  
Low Income ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
The United States ◽  
Combined Effect ◽  
Medical Expenditure ◽  
The Us ◽  
Race Ethnicity ◽  
Vulnerability Measure

Abstract Objective This study applied the vulnerability framework and examined the combined effect of race and income on health insurance coverage in the US. Data source The household component of the US Medical Expenditure Panel Survey (MEPS-HC) of 2017 was used for the study. Study design Logistic regression models were used to estimate the associations between insurance coverage status and vulnerability measure, comparing insured with uninsured or insured for part of the year, insured for part of the year only, and uninsured only, respectively. Data collection/extraction methods We constructed a vulnerability measure that reflects the convergence of predisposing (race/ethnicity), enabling (income), and need (self-perceived health status) attributes of risk. Principal findings While income was a significant predictor of health insurance coverage (a difference of 6.1–7.2% between high- and low-income Americans), race/ethnicity was independently associated with lack of insurance. The combined effect of income and race on insurance coverage was devastating as low-income minorities with bad health had 68% less odds of being insured than high-income Whites with good health. Conclusion Results of the study could assist policymakers in targeting limited resources on subpopulations likely most in need of assistance for insurance coverage. Policymakers should target insurance coverage for the most vulnerable subpopulation, i.e., those who have low income and poor health as well as are racial/ethnic minorities.

scholarly journals A Pharmacist-Led Medication Coaching Program Serving Senior Residents of Low-Income Housing

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 761-762
Author(s):  
Jennifer Bacci ◽  
Joshua Akers ◽  
Katie Mahan ◽  
Geoffrey Meer ◽  
Jeffrey Kinter ◽  
...  
Keyword(s):  
Older Adults ◽  
Community Pharmacy ◽  
Affordable Housing ◽  
Low Income ◽  
Culturally Diverse ◽  
Organization Structure ◽  
Local Area ◽  
Fiscal Year ◽  
Service Process ◽  
Process Outcomes

Abstract In 2015, one independent community pharmacy partnered with the local Area Agency on Aging to provide medication coaching to low-income, culturally diverse, older adults living in 6 affordable housing buildings in the Seattle area. A pilot was conducted during the 2015-2016 fiscal year to determine the need for and feasibility of the service. Process outcomes, including patient and service demographics, medication-related problems, and pharmacist interventions, were captured via the pharmacists’ patient care documentation. Pharmacists had 34 total visits with 17 unique residents who were taking an average of 8.1 medications. Pharmacists identified 97 medication-related problems, averaging 5.7 problems per resident, and performed 88 interventions, averaging 5.2 interventions per resident. The findings of this pilot demonstrated the needs and feasibility of implementing pharmacists’ services within a housing organization structure and has resulted in the continuation and growth of the program.

Comparing shopper characteristics by online grocery ordering use among households in low-income communities in Maine

2021 ◽  
pp. 1-16
Author(s):  
Laura Y. Zatz ◽  
Alyssa J. Moran ◽  
Rebecca L. Franckle ◽  
Jason P. Block ◽  
Tao Hou ◽  
...  
Keyword(s):  
Low Income ◽  
Grocery Shopping ◽  
Sociodemographic Characteristics ◽  
Chi Square ◽  
Transaction Data ◽  
Future Studies ◽  
Number Of Children ◽  
Online Shoppers ◽  
Race Ethnicity ◽  
Improve Access

Abstract Objective: Online grocery shopping could improve access to healthy food, but it may not be equally accessible to all populations—especially those at higher risk for food insecurity. This study aimed to compare the sociodemographic characteristics of families who ordered groceries online versus those who only shopped in-store. Design: We analyzed enrollment survey and 44 weeks of individually-linked grocery transaction data. We used univariate chi-square and t-tests and logistic regression to assess differences in sociodemographic characteristics between households that only shopped in-store and those that shopped online with curbside pick-up (online only or online and in-store). Setting: Two Maine supermarkets. Participants: 863 parents or caregivers of children under 18 years old enrolled in two fruit and vegetable incentive trials Results: Participants had a total of 32 757 transactions. In univariate assessments, online shoppers had higher incomes (P<0.0001), were less likely to participate in WIC or SNAP (P<0.0001), and were more likely to be female (P=0.04). Most online shoppers were 30–39 years old, and few were 50 years or older (P=0.003). After controlling for age, gender, race/ethnicity, number of children, number of adults, income, and SNAP participation, female primary shoppers (OR=2.75, P=0.003), number of children (OR=1.27, P=0.04), and income (OR=3.91 for 186–300% FPL and OR=6.92 for >300% FPL, P<0.0001) were significantly associated with likelihood of shopping online. Conclusions: In this study of Maine families, low-income shoppers were significantly less likely to utilize online grocery ordering with curbside pick-up. Future studies could focus on elucidating barriers and developing strategies to improve access.

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