scholarly journals COULD CHASING GRANDKIDS KEEP US YOUNG? THE ASSOCIATION BETWEEN CUSTODIAL GRANDPARENT STATUS AND HEALTH

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S670-S670
Author(s):  
Danielle K Nadorff ◽  
Emily A Williamson ◽  
Ian T McKay

Abstract There are approximately 7.2 million grandparents living with their grandchildren in the United States. Of these, roughly 2.5 million are skipped-generation households in which grandparents are solely responsible for meeting the needs of their grandchildren (U.S. Census, 2017). Previous research has established that custodial grandparents suffer from added strain and burden compared to their peers, which negatively impacts their health (Lo, M., Liu, Y., 2009). A decline in functional ability has a negative impact on not only the lives of these older adult grandparents but also their family members who are dependent upon them for care. The current study examines adults aged 65 and older using data from the American Community Survey 2016 to assess the extent to which raising one’s grandchildren is associated with five areas commonly subject to decline in older adulthood: cognitive performance, self-care ability, ambulatory difficulty, hearing, and vision abilities. Hierarchical binary logistic regression analyses found that after controlling for the effects of age, sex, race, and income-to-poverty ratio, custodial grandparents (those who reported having primary responsibility for their grandchildren in their own home with no parents present) were significantly less likely than their peers to report experiencing any of these five disabilities. Details of each model and clinical implications will be discussed.

2019 ◽  
Vol 35 (1) ◽  
pp. 189-202
Author(s):  
Brett O’Hara ◽  
Carla Medalia ◽  
Jerry J. Maples

Abstract Most research on health insurance in the United States uses the Current Population Survey Annual Social and Economic Supplement. However, a recent redesign of the health insurance questions disrupted the historical time trend in 2013. Using data from the American Community Survey, which has a parallel trend in the uninsured rate, we model a bridge estimate of the uninsured rate using the traditional questions. Also, we estimate the effect of changing the questionnaire. We show that the impact of redesigning the survey varies substantially by subgroup. This approach can be used to produce bridge estimates when other questionnaires are redesigned.


2019 ◽  
Vol 42 (3-4) ◽  
pp. 95-104 ◽  
Author(s):  
Kristin J. Homan ◽  
Jan S. Greenberg ◽  
Marsha R. Mailick

Parents who have a child with a developmental problem or mental disorder often provide support and assistance to their child throughout their lives, and the burden of caregiving can have an adverse impact on parents’ mental and physical health. Using Erikson’s theory as a framework, the present study investigated generativity as a moderator of the effects of parenting a child with a disability on parents’ well-being during mid- to late life. Using data from the study of Midlife in the United States, we identified 220 parents who had a child with a disability and 3,784 parents whose children did not have a disability. Regression analyses showed that the effect of parenting a child with a disability on negative affect, positive affect, and physical health was conditional on both parental gender and generativity, with mothers experiencing greater adverse effects of parenting but showing a benefit from high levels of generativity.


2019 ◽  
Author(s):  
Corey Sparks ◽  
Lloyd B. Potter

The American Community Survey (ACS) summary file data provide rolling 5-year estimates of demographic and socioeconomic indicator data for small geographiesthroughout the United States. These estimates are commonly used as indicators forregression models to measure conditions in communities. The Margins of Error (MOE) inthe ACS estimates for small geographic areas can often be very large, and without takingthem into account, regression analyses using them can be mis-specified, leading to bias inregression coefficients and model standard errors. This paper directly comparesmeasurement error model specifications to naive model specifications for a mortalityoutcome in Texas Census tracts using Bayesian model specializations. The results showthat there is bias in the naive regression model results. We urge users of the ACSsummary file data to be aware of such bias as it can potentially impact interpretation ofmodel results and hypothesis tests.


2003 ◽  
Vol 47 (2) ◽  
pp. 155-168 ◽  
Author(s):  
Julie Juola Exline

In situations involving impending death or bereavement, afterlife beliefs may become salient. Although prior studies have examined afterlife beliefs, little attention has been devoted to the specific constructs of Heaven and Hell. Using data from United States Christians in the 1998 General Social Survey, the current analysis revealed that the majority believed in both Heaven and Hell. Fundamentalist Protestants reported greater belief in Heaven and Hell than Catholics, Mainline Protestants, or Liberal Protestants. Regardless of denomination, greater religious participation was associated with greater belief in an afterlife, Heaven, and Hell. Clinical implications are discussed. For example, whereas thoughts of Heaven should comfort those facing death, the possibility of Hell could intensify distress around the loss. When practitioners work with individuals facing death—either the client's own impending death or the death of another person—it may be helpful to carefully assess the client's specific beliefs about the afterlife.


2015 ◽  
Vol 5 (3) ◽  
pp. 86-89
Author(s):  
Robin Mejia

Using data from the United States Census 2013 American Community Survey, Robin Mejia looks at the way geography affects a person’s health, wealth, education, and prospects in life.


2021 ◽  
pp. 003464462110135
Author(s):  
Asia Bento

Scholars debate whether residential racial segregation associates positively, negatively, or at all with the Black self-employment rate in the United States. This study engages that debate using data from the Integrated Public Use Microdata Series (IPUMS) 1980, 1990, and 2000 5% sample and 2006–2010 American Community Survey (ACS) 5-year sample. Specifically, I investigate the county-level association between residential racial segregation and the Black self-employment rate, and whether this association varied by region in 1980, 1990, 2000, and 2010. Using fractional logit models and net of control variables, I find that residential racial segregation positively predicts Black self-employment in the South. Implications for understanding how time and region condition Black self-employment opportunities are discussed.


2018 ◽  
Vol 39 (4) ◽  
pp. 544-569 ◽  
Author(s):  
Javier Fuenzalida ◽  
Norma M. Riccucci

Since politicization persists, threatening public sector governance and management, there is a need to further understand this phenomenon and its consequences. Previous empirical studies conducted predominantly in the United States have found a negative impact of politicization on performance; however, the reasons behind this relationship remain elusive. In this article, we inquire into the effect of politicization on organizational performance, and we propose that such influence can be explained by a deterioration of human resource management (HRM) practices. Using data from a national survey of municipal managers and mayors in Chile, our results confirm the negative impact of politicization on the performance of public agencies, which is partially mediated by politicization’s deleterious effect on their HRM practices.


Author(s):  
Terry Husband ◽  
Chequita Brown

Over the past two decades, a large body of research has documented the effects of school disciplinary policies and practices on Black males. As a result of this overemphasis on the educational plight and experiences of Black males in schools, very few studies have examined the impact of school discipline policies and practices on Black females. Given the absence of discourse about this issue, it is often assumed or taken for granted by many researchers and teachers that Black females receive equitable educational opportunities as other student populations. Using data from five large urban school districts, this chapter argues that the formal and informal disciplinary policies and systems in many schools and classrooms in the United States have a disproportionately negative impact on Black girls. Recommendations for administrators, teachers, and other key school officials are presented.


2017 ◽  
Vol 3 ◽  
pp. 237802311774070 ◽  
Author(s):  
Yuqi Lu

Most research on environmental inequality studies whether poor and minority neighborhoods are more exposed to environmental hazards in the form of pollution and waste. However, natural disasters, such as hurricanes, and their aftermaths are also important forms of environmental hazards and may disproportionally affect disadvantaged neighborhoods. Using data from Google Maps API and the American Community Survey, this study shows that poor neighborhoods in the Houston area tend to have lower elevations and thus may be more vulnerable to flooding. Further analyses show that this association persists even after controlling for latitude, longitude, and population density. Additionally, other types of neighborhood disadvantage, such as poverty and high concentration of racial-ethnic minorities and noncitizens, are also associated with lower elevations. Moreover, these patterns are common among most of the 20 largest metropolitan areas in the United States. These findings reveal a new dimension of environmental inequality and the consequences of spatially concentrated disadvantages.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 875-876
Author(s):  
Minzhi Ye ◽  
Di Mei

Abstract Previous research has shown that women who immigrate to the United States tend to partner with much older spouses. However, most studies have focused on young people and first-generations. Spousal age differences among older Asian Americans with different generations have not been well studied. Using data from the Annual Social and Economic Supplement survey (2013-2019), we employed the segmented assimilation theory to test 7,064 married middle-aged and older (50+) Asian Americans. Logistic regression analyses were conducted to understand the association between spousal age differences and individual background, including gender, ethnicity, socioeconomic status, generation, and marriage types. Of the 3,342 men, 20% were married to wives at least 6 years younger and 2% were married to wives at least 6 years older. Men who were Japanese or had inter-ethnical marriages were more likely to marry women at least 6 years older. Men who were Indian, Vietnamese, or having an interracial marriage were more likely to marry women at least 6 years younger. Of the 3,722 women, 3% were married to husbands at least six years younger and 19% were married to husbands at least six years older. Women who were Indian or Vietnamese were more likely to marry men at least six years older. Women who had a high school diploma or were third-plus generation were more likely to marry men at least 6 years younger. The findings reflect the complexity of Asian senior marriage and provide insight for policymakers to design new or improved social integration programs for senior immigrants.


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