Evidence map›Paper›PMID 31406631›Full record

ArticleJournal of gerontology & geriatric research2018

Correlates of Cognitive Impairment among Indian Urban Elders.

Poojitha Reddy Konda, Pawan Kumar Sharma, Atul R Gandhi, Enakshi Ganguly

Open access · greenAbstract read
In one paragraph

Article in Journal of gerontology & geriatric research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

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  12. Prevalence and Determinants of Cognitive Impairment and Depression among the Elderly Population in a Rural Area of North India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
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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 at 1 institution in 1 country.

Poojitha Reddy KondaMediciti Institute of Medical Sciences, Ghanpur, Hyderabad, India.
Pawan Kumar SharmaDepartment of Community Medicine, Mediciti Institute of Medical Sciences, Ghanpur, Hyderabad, India.
Atul R GandhiConsultant Statistician & Chief Manager-Monitoring and Evaluation, EdelGive Foundation, Edelweiss House, Mumbai, India.
Enakshi GangulyDepartment of Community Medicine, Mediciti Institute of Medical Sciences, Ghanpur, Hyderabad, India.
Mediciti Institute of Medical Sciences · IN

Funding

SHARE India University Pittsburgh Population and Intervention Research TrainingD43TW009078 · FIC · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BUNKER, CLAREANN H. · 2011 to 2015
$1.0M
FIC NIH HHS D43 TW009078
6 · The paper itself

Abstract

backgroundCognitive impairment among elderly is increasing owing to increases in life expectancy globally. The problem is multifactorial. The objective of the present paper was to study the correlates of cognitive impairment in an urban elderly population in India.

methodsA cross sectional study was conducted among 100 randomly selected urban elderly population. Data was collected upon household visits using a predesigned pretested questionnaire administered by a trained investigator. Measurements included cognitive function assessment using Mini Mental State Examination, depression assessment using Geriatric Depression Scale, blood pressure measurement and anthropometry. Cognitive impairment was defined at MMSE score <24. Logistic regression was done to identify independently associated factors with cognitive impairment.

resultsPrevalence of cognitive impairment among elderly was 10%. Women had a higher prevalence than men. Higher age, no schooling, living single, lower weight, lower waist and hip ratios, difficulty in activities of daily living, poor self-reported health, bedridden and depression significantly associated with cognitive impairment. The independently associated factors upon logistic regression were increasing age, no schooling and bedridden status for past six months.

conclusionAlthough the current prevalence of cognitive impairment among Indian urban elderly is low, several associated factors exist in this population that may increase the burden in future. Geriatric health policy should address the modifiable risk factors to manage the problem of cognitive impairment and its consequent outcomes.

Indexed as

Cognitive impairmentCorrelatesDementiaElderlyPrevalenceUrban India

Identifiers

PMID31406631
PMCPMC6690611
OpenAlexW2913032859

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.