Evidence map›Paper›PMID 34384409›Full record

ArticleBMC public health2021

Socio-economic inequality in functional disability and impairments with focus on instrumental activity of daily living: a study on older adults in India.

Ratna Patel, Shobhit Srivastava, Pradeep Kumar, Shekhar Chauhan, Mani Deep Govindu, David Jean Simon

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% of its field
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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 3 institutions in 2 countries.

Ratna PatelDepartment of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, India.ORCID 0000-0002-5371-7369
Shobhit SrivastavaDepartment of Mathematical Demography and Statistics, International Institute for Population Sciences, Mumbai, India.ORCID 0000-0002-7138-4916
Pradeep KumarDepartment of Mathematical Demography and Statistics, International Institute for Population Sciences, Mumbai, India.ORCID 0000-0003-4259-820X
Shekhar ChauhanDepartment of Population Policies and Programmes, International Institute for Population Sciences, Mumbai, India. shekhariips2486@gmail.com.ORCID 0000-0002-6926-7649
Mani Deep GovinduKarnataka Health Promotion Trust, Bangalore, Karnataka, India.
David Jean SimonParis 1 Pantheon-Sorbonne University, Paris, France.
International Institute for Population Sciences · INKarnataka Health Promotion Trust · INSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have examined functional disability among older adults by combining Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL). This study adds another dimension to ADL and IADL by combining various impairments such as hearing, vision, walking, chewing, speaking, and memory loss among older adults. This study examines functional disability among older adults in India as measured by ADL, IADL, along with various impairments.

methodsThis study utilized data from Building a Knowledge Base on Population Aging in India (BKPAI), a national-level survey and conducted across seven states of India. The study utilized three outcome variables, namely, ADL, IADL, and Impairments. Descriptive and bivariate analyses were used along with multivariate analysis to fulfil the objectives of the study. The concentration index was calculated for ADL, IADL, and impairments, and further, decomposition analysis was carried out for IADL.

resultsThe results observed that nearly 7.5% of older adults were not fully independent for ADL. More than half (56.8%) were not fully independent for IADL, and nearly three-fourths (72.6%) reported impairments. Overall, ADL, IADL, and impairments were higher among older adult's aged 80+ years, older adults with poor self-rated health, and those suffering from chronic diseases. The likelihood of ADL (AOR = 6.42, 95% CI: 5.1-8.08), IADL (AOR = 5.08, 95% CI: 4.16-6.21), and impairment (AOR = 3.50, 95% CI: 2.73-4.48) were significantly higher among older adults aged 80+ years compared to 60-69 years. Furthermore, older adults who had poor self-rated health and suffered from chronic diseases were more likely to report ADL (AOR = 2.95, 95% CI: 2.37-3.67 and AOR = 2.70, 95% CI: 2.13-3.43), IADL (AOR = 1.74, 95% CI: 1.57-1.92 and AOR = 1.15, 95% CI: 1.04-1.15), and impairment (AOR = 2.36, 95% CI: 2.11-2.63 and AOR = 2.95, 95% CI: 2.65-3.30), respectively compared to their counterparts. Educational status and wealth explained most of the socio-economic inequality in the prevalence of IADL among older adults.

conclusionIt is recommended that the government advise older adults to adopt health-promoting approaches, which may be helpful. Further, there is a pressing need to deliver quality care to older adults suffering from chronic conditions.

Indexed as

Activities of Daily LivingPersons with DisabilitiesAgedAgingDisability EvaluationHumansIndiaPrevalenceSocioeconomic FactorsFunctional disabilityImpairmentsIndiaInequalitiesOlder adults

Identifiers

PMID34384409
PMCPMC8359266
OpenAlexW3132866924

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.