Evidence map›Paper›PMID 36547273›Full record

ArticleGeriatrics (Basel, Switzerland)2022

Socioeconomic Inequalities in the Prevalence of Non-Communicable Diseases among Older Adults in India.

Bikash Khura, Parimala Mohanty, Lipilekha Patnaik, Keerti Bhusan Pradhan, Jagdish Khubchandani, Bijaya Kumar Padhi

Open access · goldAbstract read
In one paragraph

Article in Geriatrics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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 5 institutions in 2 countries.

Bikash KhuraInternational Institute for Population Sciences, Mumbai 400088, India.
Parimala MohantyDepartment of Community Medicine, Institute of Medical Sciences & SUM Hospital, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar 751030, India.ORCID 0000-0003-1442-5299
Lipilekha PatnaikDepartment of Community Medicine, Institute of Medical Sciences & SUM Hospital, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar 751030, India.
Keerti Bhusan PradhanDepartment of Public Health Management, Chitkara University, Rajpura 140401, India.ORCID 0000-0001-9445-6022
Jagdish KhubchandaniDepartment of Public Health, New Mexico State University, Las Cruces, NM 88003, USA.ORCID 0000-0002-9058-4278
Bijaya Kumar PadhiDepartment of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.ORCID 0000-0002-2828-2375
Institute of Medical Sciences and Sum Hospital · INChitkara University · INInternational Institute for Population Sciences · INNew Mexico State University · USPost Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding socioeconomic inequalities in non-communicable disease prevalence and preventive care usage can help design effective action plans for health equality programs among India's aging population. Hypertension (HTN) and diabetes mellitus (DM) are frequently used as model non-communicable diseases for research and policy purposes as these two are the most prevalent NCDs in India and are the leading causes of mortality. For this investigation, data on 31,464 older persons (aged 60 years and above) who took part in the Longitudinal Ageing Survey of India (LASI: 2017-2018) were analyzed. The concentration index was used to assess socioeconomic inequality whereas relative inequalities indices were used to compare HTN, DM, and preventive care usage between the different groups of individuals based on socioeconomic status. The study reveals that wealthy older adults in India had a higher frequency of HTN and DM than the poor elderly. Significant differences in the usage of preventive care, such as blood pressure/blood glucose monitoring, were found among people with HTN or DM. Furthermore, economic position, education, type of work, and residential status were identified as important factors for monitoring inequalities in access to preventive care for HTN and DM. Disparities in non-communicable diseases can be both a cause and an effect of inequality across social strata in India.

Indexed as

diabetesdisparityhypertensionIndiainequalitynon-communicable diseasespreventive care

Identifiers

PMID36547273
PMCPMC9778373
OpenAlexW4311528928

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.