PapersFlow Research Brief
Aging, Health, and Disability
Research Guide
What is Aging, Health, and Disability?
Aging, Health, and Disability is the study of health-related quality of life in aging populations, encompassing functional dependence, social support, mental health, family functioning, and geriatric assessment.
This field examines the impact of aging on health status through tools like the Mini-Mental State Examination, which Bertolucci Ph et al. (1994) applied to 530 adults, finding education level as a significant predictor of cognitive performance. It includes validation of instruments such as the Spanish SF-36 Health Survey by J. Alonso et al. (1995), confirming reliability for measuring clinical results. The cluster contains 90,199 works on elderly care and social integration.
Topic Hierarchy
Research Sub-Topics
Functional Dependence in Aging Populations
This sub-topic assesses ADL and IADL limitations, frailty indices, and predictive models for dependency trajectories in older adults. Longitudinal studies link dependence to comorbidities and interventions.
Health-Related Quality of Life in Older Adults
Researchers validate instruments like SF-36 and EQ-5D for HRQoL measurement, analyzing domains of physical, mental, and social functioning. Studies correlate scores with aging biomarkers.
Social Support and Aging Outcomes
Explores networks, emotional support, and caregiving impacts on mortality, cognition, and mental health in seniors. Includes interventions like community programs and technology-mediated support.
Mental Health in Geriatric Populations
This sub-topic covers depression screening (e.g., GDS), anxiety prevalence, and dementia comorbidities using tools like MMSE. Research examines pharmacological and psychosocial treatments.
Geriatric Assessment Tools and Protocols
Focuses on comprehensive geriatric assessment (CGA) validation, multidimensional screening, and implementation in primary care. Studies optimize tools for diverse cultural and functional contexts.
Why It Matters
This field informs geriatric assessment and elderly care by providing validated tools for cognitive and health evaluation. Bertolucci Ph et al. (1994) showed in a study of 530 adults that education levels—illiterate, elementary/middle (<8 years), or high (>8 years)—significantly predict Mini-Mental State Examination performance, aiding in identifying functional dependence. G Smilkstein et al. (1982) validated the Family APGAR for measuring satisfaction with family function components, with mean total scores reported across population groups, supporting interventions in social support and mental health. Debra J. Brody et al. (2018) reported major depression prevalence among U.S. adults aged 20 and over from 2013-2016, linking it to greater functional impairment than diabetes or arthritis, which guides public health strategies for high utilizers of care as in Michael Von Korff (1992).
Reading Guide
Where to Start
"[The Mini-Mental State Examination in a general population: impact of educational status]." by Bertolucci Ph et al. (1994) because it provides foundational data on cognitive assessment in 530 adults, establishing education's role as a predictor suitable for initial understanding of geriatric tools.
Key Papers Explained
Bertolucci Ph et al. (1994) in "[The Mini-Mental State Examination in a general population: impact of educational status]." sets cognitive baselines influenced by education, which Lobo et al. (1999) in "[Revalidation and standardization of the cognition mini-exam (first Spanish version of the Mini-Mental Status Examination) in the general geriatric population]." revalidates for elderly with confirmed cutoffs. G Smilkstein et al. (1982) in "Validity and reliability of the family APGAR as a test of family function." complements by validating family support metrics, while José Carlos Millán-Calentí et al. (2009) in "Prevalence of functional disability in activities of daily living (ADL), instrumental activities of daily living (IADL) and associated factors, as predictors of morbidity and mortality" links these to disability outcomes. J. Alonso et al. (1995) in "[The Spanish version of the SF-36 Health Survey (the SF-36 health questionnaire): an instrument for measuring clinical results]." adds health status measurement reliability.
Paper Timeline
Most-cited paper highlighted in red. Papers ordered chronologically.
Advanced Directions
Recent preprints show no new developments in the last 6 months, leaving frontiers at revalidation of tools like MEC-30 by Lobo et al. (1999) for international comparisons and ongoing needs for sensitivity assessments in SF-36 as noted by J. Alonso et al. (1995). News coverage lacks updates in the last 12 months.
Papers at a Glance
| # | Paper | Year | Venue | Citations | Open Access |
|---|---|---|---|---|---|
| 1 | [The Mini-Mental State Examination in a general population: im... | 1994 | PubMed | 1.1K | ✕ |
| 2 | Principles of Geriatric Medicine and Gerontology. | 1991 | Annals of Internal Med... | 1.1K | ✕ |
| 3 | [The Spanish version of the SF-36 Health Survey (the SF-36 hea... | 1995 | PubMed | 958 | ✕ |
| 4 | Validity and reliability of the family APGAR as a test of fami... | 1982 | PubMed | 792 | ✕ |
| 5 | Prevalence of Depression Among Adults Aged 20 and Over: United... | 2018 | PubMed | 673 | ✕ |
| 6 | [Revalidation and standardization of the cognition mini-exam (... | 1999 | PubMed | 642 | ✕ |
| 7 | Prevalence of functional disability in activities of daily liv... | 2009 | Archives of Gerontolog... | 604 | ✕ |
| 8 | ORGANIZACIÓN MUNDIAL DE LA SALUD | 1999 | — | 549 | ✕ |
| 9 | Disability and Depression Among High Utilizers of Health Care | 1992 | Archives of General Ps... | 527 | ✕ |
| 10 | Técnicas cualitativas de investigación social: reflexión metod... | 1997 | — | 524 | ✕ |
Frequently Asked Questions
What is the Mini-Mental State Examination used for in aging populations?
The Mini-Mental State Examination assesses cognitive performance influenced by age and education. Bertolucci Ph et al. (1994) interviewed 530 adults, classifying education as illiterate, elementary and middle (<8 years), or high (>8 years), with education as a significant predictor. It supports geriatric assessment in general populations.
How reliable is the Family APGAR for family functioning?
The Family APGAR reliably measures satisfaction with five components of family function. G Smilkstein et al. (1982) provided evidence of its validity, reporting mean total scores for population groups. It serves as a utilitarian instrument in health studies.
What predicts functional disability in the elderly?
Functional disability in activities of daily living and instrumental activities is predicted by associated factors linked to morbidity and mortality. José Carlos Millán-Calentí et al. (2009) examined prevalence in geriatric populations. These metrics inform elderly care planning.
What is the prevalence of depression in adults?
Major depression affects adults with changes in mood, cognitive, and physical symptoms over two weeks. Debra J. Brody et al. (2018) reported prevalence among U.S. adults aged 20 and over from 2013-2016. It causes greater functional impairment than many chronic diseases.
How does the SF-36 Health Survey apply to clinical results?
The Spanish version of the SF-36 Health Survey measures clinical results with acceptable reliability. J. Alonso et al. (1995) adapted it equivalently to the original. Further assessment of validity and sensitivity to changes is recommended.
What links disability and depression in health care users?
Among depressed medical patients who are high utilizers of health care, improved depression associates with reduced functional disability. Michael Von Korff (1992) assessed this at baseline, 6 months, and 12 months in enrollees. It highlights course differences in disability.
Open Research Questions
- ? How do education levels modulate cognitive decline trajectories in diverse aging populations beyond the Mini-Mental State Examination cutoffs?
- ? What interventions best mitigate functional disability predictors identified in activities of daily living for reducing morbidity?
- ? In what ways does family APGAR score variation across cultures predict mental health outcomes in the elderly?
- ? How does depression improvement directly alter disability progression in high health care utilizers over longer terms?
- ? Which combined geriatric assessment tools most accurately forecast health status changes in aging with social isolation?
Recent Trends
The cluster holds 90,199 works with growth data unavailable, maintaining focus on established tools like Mini-Mental validations from Bertolucci Ph et al. and Lobo et al. (1999).
1994No recent preprints or news in the last 6-12 months indicate steady reliance on high-citation papers such as Brody et al. on depression prevalence.
2018Research Aging, Health, and Disability with AI
PapersFlow provides specialized AI tools for Medicine researchers. Here are the most relevant for this topic:
Systematic Review
AI-powered evidence synthesis with documented search strategies
AI Literature Review
Automate paper discovery and synthesis across 474M+ papers
Find Disagreement
Discover conflicting findings and counter-evidence
Paper Summarizer
Get structured summaries of any paper in seconds
See how researchers in Health & Medicine use PapersFlow
Field-specific workflows, example queries, and use cases.
Start Researching Aging, Health, and Disability with AI
Search 474M+ papers, run AI-powered literature reviews, and write with integrated citations — all in one workspace.
See how PapersFlow works for Medicine researchers