Evidence map›Paper›PMID 39426970›Full record

ArticleScientific reports2024

Gender differentials in cognitive frailty among older adults in India: a multivariate decomposition approach.

Madhurima Sharma, Abhishek Anand, Aparajita Chattopadhyay, Indrajit Goswami

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Madhurima SharmaInternational Institute for Population Sciences, Govandi Station Road, Deonar, Mumbai, India.ORCID 0000-0002-9025-4260
Abhishek AnandInternational Institute for Population Sciences, Govandi Station Road, Deonar, Mumbai, India. anandabhishek361@gmail.com.
Aparajita ChattopadhyayDepartment of Population and Development, International Institute for Population Sciences, Mumbai, India.
Indrajit GoswamiInternational Institute for Population Sciences, Govandi Station Road, Deonar, Mumbai, India.ORCID 0009-0008-5980-9097

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been an increasing focus on the interplay between physical frailty and cognitive impairment, as both conditions pose significant risks for life-threatening health complications and are receiving considerable attention in global geriatric health initiatives. A recent consensus introduces "cognitive frailty," denoting the co-existence of physical frailty and cognitive impairment without dementia. This study aims to ascertain the prevalence of cognitive frailty and investigate the factors contributing to gender differentials of cognitive frailty among older adults in India. This study has used the data from the nationally representative survey Longitudinal Ageing Study in India 2017-18. This study included a sample of 13,946 males and 14,989 females aged 60 and above. Descriptive and bivariate analyses were conducted. A proportion test was employed to assess gender disparities and determine the statistical significance of risk factors. Furthermore, multivariate decomposition analysis was performed to identify the extent to which various covariates contribute to explaining the gender differences observed in cognitive frailty. The overall prevalence of cognitive frailty was 4.4%. There was a significant gender difference in cognitive frailty among older adults in India (Difference: 4.3%; p-value < 0.001] with 2.1% (95% CI: 1.8-2.3) older males and 6.4% (95% CI: 6.0-6.8) older females suffering from cognitive frailty. The considerable gender gap in cognitive frailty would be reduced if women had similar levels of education (37% reduction) than men. Results highlight that increasing age, being a woman (AOR: 1.61; 95% CI: 1.33-1.95), out-of-wedlock, less education and non-working status (AOR:2.19; 95% CI: 1.71-2.80) were significantly associated with cognitive frailty. Poor nutritional status, and depression are also prone among the cognitively frail participants. Gender sensitive interventions improving education access for women are crucial. Developing countries like India urgently require a multidimensional approach to ensure appropriate and comprehensive healthcare for the elderly population.

Indexed as

Cognitive DysfunctionFrailtyAgedAged, 80 and overFemaleFrail ElderlyGeriatric AssessmentHumansIndiaLongitudinal StudiesMaleMiddle AgedMultivariate AnalysisPrevalenceRisk FactorsSex FactorsCognitive frailtyGender differencesIndiaOlder adults

Identifiers

PMID39426970
PMCPMC11490581

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.