Evidence map›Paper›PMID 38771471›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2024

Urban-Rural Differences in the Prevalence of Diabetes Among Adults in Haryana, India: The ICMR-INDIAB Study (ICMR-INDIAB-18).

Sanjay Kalra, Ranjit Mohan Anjana, Madhur Verma, Rajendra Pradeepa, Nikita Sharma, Mohan Deepa, Omna Singh, Ulagamadesan Venkatesan, Nirmal Elangovan, Sameer Aggarwal and 2 more

Abstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Biochemical and Molecular Markers Among Prediabetic and Type 2 Diabetes Mellitus Patients.International journal of endocrinology and metabolism · 2026
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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

12 authors.

Sanjay KalraDepartment of Endocrinology, Bharti Hospital, Karnal, India. brideknl@gmail.com.ORCID http://orcid.org/0000-0003-1308-121X
Ranjit Mohan AnjanaMadras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, India.ORCID http://orcid.org/0000-0002-4843-1374
Madhur VermaDepartment of Community and Family Medicine, All India Institute of Medical Sciences Bathinda, Bathinda, 151001, India.ORCID http://orcid.org/0000-0002-1787-8392
Rajendra PradeepaDepartment of Research Operations and Diabetes Complications, Madras Diabetes Research Foundation, Chennai, India.ORCID http://orcid.org/0000-0002-4909-3733
Nikita SharmaDepartment of Community and Family Medicine, All India Institute of Medical Sciences Bilaspur, Bilaspur, India.
Mohan DeepaDepartment of Epidemiology, Madras Diabetes Research Foundation, Chennai, India.ORCID http://orcid.org/0000-0001-6348-1946
Omna SinghDepartment of Community and Family Medicine, All India Institute of Medical Sciences Bathinda, Bathinda, 151001, India.
Ulagamadesan VenkatesanDepartment of Bio-Statistics, Madras Diabetes Research Foundation, Chennai, India.ORCID http://orcid.org/0000-0002-1638-6046
Nirmal ElangovanDepartment of Research Operations and Diabetes Complications, Madras Diabetes Research Foundation, Chennai, India.
Sameer AggarwalDepartment of Endocrinology, Apex Hospitals, Rohtak, India.
Rakesh KakkarDepartment of Community and Family Medicine, All India Institute of Medical Sciences Bathinda, Bathinda, 151001, India.
Viswanathan MohanMadras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, India.ORCID http://orcid.org/0000-0001-5038-6210

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetes is a multifactorial disease with far-reaching consequences. Environmental factors, such as urban or rural residence, influence its prevalence and associated comorbidities. Haryana-a north Indian state-has undergone rapid urbanisation, and part of it is included in the National Capital Region (NCR). The primary aim of the study is to estimate the prevalence of diabetes in Haryana with urban-rural, NCR and non-NCR regional stratification and assess the factors affecting the likelihood of having diabetes among adults.

methodsThis sub-group analysis of the Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study (a nationally representative cross-sectional population-based survey) was done for Haryana using data from 3722 participants. The dependent variable was diabetes, while residence in NCR/non-NCR and urban-rural areas were prime independent variables. Weighted prevalence was estimated using state-specific sampling weights and standardized using National Family Health Survey-5 (NFHS-5) study weights. Associations were depicted using bivariate analysis, and factors describing the likelihood of living with diabetes were explored using a multivariable binary logistic regression analysis approach.

resultsOverall, the weighted prevalence of diabetes in Haryana was higher than the national average (12.4% vs. 11.4%). The prevalence was higher in urban (17.9%) than in rural areas (9.5%). The prevalence of diabetes in rural areas was higher in the NCR region, while that of prediabetes was higher in rural non-NCR region. Urban-rural participants' anthropometric measurements and biochemical profiles depicted non-significant differences. Urban-rural status, age and physical activity levels were the most significant factors that affected the likelihood of living with diabetes.

conclusionsThe current analysis provides robust prevalence estimates highlighting the urban-rural disparities. Urban areas continue to have a high prevalence of diabetes and prediabetes; rural areas depict a much higher prevalence of prediabetes than diabetes. With the economic transition rapidly bridging the gap between urban and rural populations, health policymakers should plan efficient strategies to tackle the diabetes epidemic.

Indexed as

Behavioural risk factorsDiabetesEpidemiological transitionsNon-communicable diseasesUrbanisation

Identifiers

PMID38771471
PMCPMC11211308

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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.