Evidence map›Paper›PMID 41661739›Full record

ArticlePLOS mental health2025

Cognitive impairment and reporting of hypertension among adults in india: Evidence from a population-based study.

Priyanka Dixit, Basil Edolikkandy, Montu Bose, Waquar Ahmed, Shiva Halli

Abstract read
In one paragraph

Article in PLOS mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Priyanka DixitSchool of Health Systems Studies, Tata Institute of Social Sciences, Mumbai, India.ORCID https://orcid.org/0000-0003-4927-7716
Basil EdolikkandyDepartment of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, India.
Montu BoseSchool of Health Systems Studies, Tata Institute of Social Sciences, Mumbai, India.
Waquar AhmedSchool of Health Systems Studies, Tata Institute of Social Sciences, Mumbai, India.
Shiva HalliDepartment of Community Health Sciences, Faculty of Medicine, University of Manitoba, Manitoba, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study investigates the disparities between the prevalence of self-reported and measured hypertension among adults and the role of cognitive impairment in such disparities. The study used data from the first wave of the Longitudinal Aging Study in India, a nationally representative survey of 72,250 individuals. Percentage distributions were calculated for cognitive impairment, self-reported hypertension, and objective measures of hypertension along with the explanatory variables. Multivariable logistic regression was performed to assess the association of cognitive impairment and other factors with self-reported and measured hypertension. Furthermore, the Propensity Score Matching method was used to estimate the effect of cognitive impairment on self-reported hypertension, measured hypertension, and the misreporting of hypertension. Cognitive impairment was found in 9.8% of Indian adults in this study. Cognitive impairment was most prevalent among females and those over 75 years of age. Hypertension too was higher among females as well as among rural residents and those with no education compared to their respective counterparts. The likelihood of cognitively impaired adults having hypertension was 24% more than that of their cognitively unimpaired counterparts [OR = 1.24, CI = 1.18-1.32]. Other risk factors of hypertension were age, alcohol consumption, and place of residence. The PSM analysis revealed that individuals with cognitive impairment were 2.7% more likely to underreport their hypertensive status compared to those without cognitive impairment. The study underscores the significance of acknowledging reporting bias among individuals with cognitive impairment. Addressing this bias in healthcare systems is crucial. The policy recommendations encompass creating tailored healthcare interventions, improving access to healthcare, enhancing communication strategies, and providing robust support to those with cognitive impairment to ensure accurate diagnosis and proper disease management. Healthcare providers require training to identify and mitigate reporting biases in this vulnerable group. Doing so will ultimately enhance healthcare outcomes.

Identifiers

PMID41661739
PMCPMC12798364

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.