Evidence map›Paper›PMID 39981442›Full record

ArticleCureus2025

A Cross-Sectional Study on the Prevalence and Predictors of Cognitive Impairment and Depression in Elderly Patients With Type 2 Diabetes Mellitus.

Fatima Khan, Sartaj Hussain, Somya Singh, K K Sawlani, Kauser Usman, Amod K Sachan, Sanjay Khattri

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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4citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

7 authors.

Fatima KhanPharmacology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.
Sartaj HussainPharmacology, All India Institute of Medical Sciences (AIIMS) Jammu, Vijaypur, IND.
Somya SinghPharmacology, All India Institute of Medical Sciences (AIIMS) Bhopal, Bhopal, IND.
K K SawlaniInternal Medicine, King George's Medical University, Lucknow, IND.
Kauser UsmanInternal Medicine, King George's Medical University, Lucknow, IND.
Amod K SachanPharmacology and Therapeutics, King George's Medical University, Lucknow, IND.
Sanjay KhattriPharmacology and Therapeutics, King George's Medical University, Lucknow, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The rising prevalence of type 2 diabetes mellitus (T2DM) in the elderly is associated with mental health disorders like cognitive impairment and depression due to hyperglycemia and inflammation. The present study aims to estimate the prevalence of cognitive impairment and depression and its association with clinical, biochemical, and psychosocial factors to identify high-risk subjects. Methods A cross-sectional study was conducted at a tertiary care teaching hospital and enrolled 99 patients of T2DM, aged equal to or more than 60 years from North India. Cognitive function and depression were assessed by the Hindi Mental Scale Examination (HMSE) and the Hindi version of the Geriatric Depression Scale (GDS-H), respectively. Fasting plasma glucose (FPG), glycated hemoglobin (HbA1C), and the lipid profile were measured. Univariate and multivariate binary logistic regression analyses were applied to identify association and independent predictors, respectively, and receiver operating characteristic (ROC) curve analysis to determine the optimal cut-off values. Results The mean age of the patients was 66.68 years, and 38.38% were females. The prevalence of impaired cognition and depression in elderly T2DM subjects was 37.37% and 43.43%, respectively. HMSE was inversely correlated while GDS-H was positively correlated with FPG and HbA1C. Cognitive impairment was independently predicted by age, HbA1C levels, and rural residence. Depression was independently associated with HbA1C levels and being unmarried or widowed. The optimal cut-off for cognitive impairment was age >63 years and HbA1C >7.7%. For depression, the cut-off for HbA1C was >6.9%. Conclusion This study revealed a higher prevalence of cognitive impairment and depression among elderly T2DM patients in North India. The age of more than 63 years, poor glycemic control, rural residents, and marital status are high-risk groups for cognitive impairment and depression. This study suggests the integration of routine mental health screening for high-risk elderly T2DM patients and the development of comprehensive diabetes management programs that address both physical and mental health aspects.

Indexed as

agingcognitive impairmentdepressionelderlytype 2 diabetes mellitus

Identifiers

PMID39981442
PMCPMC11840380

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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.