Evidence map›Paper›PMID 33410091›Full record

ArticleGeroScience2021

Morbidity compression or expansion? A temporal analysis of the age at onset of non-communicable diseases in India.

Sanjay K Mohanty, Justin Rodgers, Rajeev R Singh, Radhe Shyam Mishra, Rockli Kim, Junaid Khan, Priyamadhaba Behera, S V Subramanian

Abstract read
In one paragraph

Article in GeroScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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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

8 authors.

Sanjay K MohantyDepartment of Fertility Studies, International Institute for Population Sciences, Mumbai, India.
Justin RodgersHarvard Center for Population and Development Studies, 9 Bow Street, Cambridge, MA, 02138, USA.
Rajeev R SinghInternational Institute for Population Sciences, Mumbai, India.
Radhe Shyam MishraInternational Institute for Population Sciences, Mumbai, India.
Rockli KimHarvard Center for Population and Development Studies, 9 Bow Street, Cambridge, MA, 02138, USA.
Junaid KhanInternational Institute for Population Sciences, Mumbai, India.
Priyamadhaba BeheraDepartment of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Bhubaneswar, India.
S V SubramanianHarvard Center for Population and Development Studies, 9 Bow Street, Cambridge, MA, 02138, USA. svsubram@hsph.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While there is evidence of morbidity compression in many countries, temporal patterns of non-communicable diseases (NCDs) in developing countries, such as India, are less clear. Age at onset of disease offers insights to understanding epidemiologic trends and is a key input for public health programs. Changes in age at onset and duration of major NCDs were estimated for 2004 (n = 38,044) and 2018 (n = 43,239) using health surveys from the India National Sample Survey (NSS). Survival regression models were used to compare trends by sociodemographic characteristics. Comparing 2004 to 2018, there were reductions in age at onset and increases in duration for overall and cause-specific NCDs. Median age at onset decreased for NCDs overall (57 to 53 years) and for diabetes, hypertension, heart disease, asthma, mental diseases, eye disease, and bone disease in the range of 2-7 years and increased for cancer, neurological disorders, some genitourinary disorders, and injuries/accidents in the range of 2-14 years. Hazards of NCDs were higher among females for cancers (HR 1.51, 95% CI 1.19-1.90) and neurological disorders (HR 1.18, 95% CI 1.06-1.32) but lower for heart diseases (HR 0.88, 95% CI 0.79-0.97) and injuries/accidents (HR 0.87, 95% CI 0.77-0.99). Hazards were greater among those with lower educational attainment at younger ages and higher educational attainment later in life. Unlike many countries, chronic disease morbidity may be expanding in India for many chronic diseases, indicating excess strain on the health system. Public health programs should focus on early diagnosis and prevention of NCDs.

Indexed as

Noncommunicable DiseasesAge of OnsetCause of DeathFemaleGlobal HealthHumansIndiaMorbidityDuration of diseaseIndiaNon-communicable diseasesNSSOnset

Identifiers

PMID33410091
PMCPMC8050145

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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.