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Everyday functioning and successful aging: the impact of resources
1Department of Gerontopsychiatry, Free University Berlin, Germany. baltesma@zedat.fu-berlin.de
Psychology and Aging
|October 6, 1997
Summary
Older adults with fewer resources experience more negative aging effects in daily functioning compared to their resource-rich peers. This highlights disparities in aging trajectories based on available resources.
Area of Science:
- Gerontology
- Sociology of Aging
- Psychology of Aging
Background:
- Aging is a complex process influenced by various resources.
- Individual differences in resource availability can impact daily functioning in older adults.
- Understanding these differences is crucial for targeted interventions.
Purpose of the Study:
- To investigate differential aging in everyday functioning between resource-rich and resource-poor older adults.
- To identify how varying levels of sensorimotor-cognitive and social-personality resources affect aging outcomes.
- To explore the relationship between resource status and age-related changes in daily life.
Main Methods:
- Categorization of older adults into four groups based on two resource factors: sensorimotor-cognitive and social-personality.
- Comparison of daily functioning metrics across groups, including waking day length, activity variability, activity frequency, and resting times.
- Analysis of age-related effects within each resource group.
Main Results:
- Significant mean differences were observed in daily functioning across the four resource groups.
- The resource-poorest group exhibited more pronounced negative age effects compared to the resource-richest group.
- Variations in intellectual-cultural and social-relational activities, activity variability, and rest periods were noted.
Conclusions:
- Resource availability significantly moderates the aging process in everyday functioning.
- Individuals with fewer resources face greater challenges and more negative age-related changes.
- The findings support the selective optimization with compensation model in explaining adaptive strategies in aging.