A comparative study to identify factors of caregiver burden between baby boomers and post baby boomers: a secondary analysis of a US online caregiver survey.

BACKGROUND: Baby boomers' position in the caregiving context is shifting from caregiver to care recipient as the population ages. While the unique characteristics of baby boomer caregivers are well established in caregiving literature, there is limited information about the next caregiving group after the baby boomers. In this study, the sociodemographic and caregiving-related characteristics of the two generations are compared and specific factors contributing to caregiver burden between baby boomer and post baby boomer caregivers are identified. METHODS: This cross-sectional and correlational study used secondary analysis of data from the National Alliance for Caregiving and the American Association of Retired Persons. A structured online survey was conducted in 2014 with randomly selected samples (n = 1069) in the United States focusing on sociodemographics, caregiving-related characteristics, and burden of care. Descriptive statistics, multivariate linear regression analyses, and Steiger's Z-test were used to identify group differences in multivariate factors related to caregiver burden in two generational groups. RESULTS: Baby boomers and post baby boomers experienced caregiver burden to a similar degree. Caregiving-related factors are more likely to increase burden of care than sociodemographics in both groups. Caregiving without choice and spending longer hours on caregiving tasks were common factors that increased the burden in both generational groups (all p values < 0.01). However, post baby boomer caregivers reported additional challenges, such as unemployment during caregiving, the dual responsibility of both adult and child care, and a family relationship with the care recipient. CONCLUSIONS: Due to the aging population of baby boomers, post baby boomers encounter different challenges related to caregiving burden, which is often considered an additional workload in their life course. Current policy and program tailored to baby boomers should be re-designed to meet the different needs of emerging caregivers. Specific vulnerable subgroups should have priority to receive the benefits of specific policies, such as those without choice and younger, working caregivers.

Engagement states and learning from educational games.

Children's and adolescents' cognitive, affective, and behavioral states of engagement enhance or impede enjoyment of, and performance with, educational games. We propose a comprehensive model of engagement states and apply it to research on educational game development and research on the role of various aspects of engagement on game play and learning. Emphasis is placed on individual differences in attention, memory, motor speed and control, persistence, and positive and negative affect (approach/avoidance), and how these pertain to social cognitions regarding mathematics achievement. Our challenge is to develop educational games that are effective for a wide variety of student engagement states.

Predictors of caregiver burden in caregivers of individuals with dementia.

AIMS: This article is a report on a study of the multidimensional predictors of caregiver burden in caregivers of individuals with dementia using nationally representative data. BACKGROUND: Caregiver burden affects the health of both caregivers and their care-recipients. Although previous studies identified various predictors of caregiver burden, these predictors have not been confirmed in nationally representative population. METHODS: Data for this secondary analysis was provided by the National Alliance for Caregiving, American Association of Retired Persons. The data were collected through a telephone survey of randomly selected adults in seven states in 2003 (weight adjusted n = 302). Descriptive statistics, inter-correlation analysis and a hierarchical multiple regression analysis were performed. RESULTS/FINDINGS: Disease-related factors were the most significant predictors, explaining 16% of caregiver burden; these were followed by caregiver socio-demographical factors and caregiving-related factors (F = 21·28, P < 0·01). Significant individual predictors were impairment of activities of daily living or instrumental activities of daily living, the number of hours of caregiving, use of coping strategies, co-residence, spousal status and caregiver gender (P < 0·05). CONCLUSION: Impaired function in care-recipients predicts caregiver burden, and also interacts with demographical- and caregiving-related factors. Thus, it will be beneficial to both care-recipients and caregivers to target nursing interventions and community services to improve the functional abilities of individuals with dementia.

Different strategies contribute to community physical activity program participation in rural versus metropolitan settings.

PURPOSE: Determine if recruitment methods are differentially related to the reach of a physical activity program in metro/urban vs. rural settings. DESIGN: Cross-sectional survey. SETTING: Kansas counties. SUBJECTS: Ninety-four Cooperative Extension agents responsible for 102 counties. MEASURES: Promotional score, task force activity, and years of program delivery were assessed using a self-report survey. Reach was assessed for each county by dividing the number of participants by intended population using census data. ANALYSIS: Rural/urban comparisons on reach were completed using a Mann-Whitney test. Multiple linear regression models were used to determine the relationship between independent variables and participation rate by setting type. RESULTS: Metro/urban counties had lower mean participation rates than rural counties (z = -4.5; p < .001). In metro/urban counties, the regression on participation rate was significant (R(2) = .19; F = 4.09; p = .011), but only promotional score significantly contributed to the model (p = .003). In rural counties, the regression was also significant (R(2) = .34; F = 6.64; p = .001), with task force activity and years of delivery making significant contributions (p = .001 and p = .017, respectively). CONCLUSION: Interpersonal methods may be more effective in recruiting physical activity program participants in rural settings, whereas using a greater variety of promotional methods may be more effective in metro/urban settings.