Evidence map›Paper›PMID 39708254›Full record

ArticleAging clinical and experimental research2024

The evaluation of depression prevalence and its association with obesity phenotypes in a community-dwelling aged population.

Faezeh Abbasloo, Pouya Ebrahimi, Delaram Ghadimi, Farshad Sharifi, Arian Ayati, Mitra Moodi, Masoumeh Khorashadizadeh, Hosein Fakhrzadeh, Amin Zaki Zadeh, Pedram Ramezani and 5 more

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Article in Aging clinical and experimental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing 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

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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

3 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

15 authors.

Faezeh Abbasloo *Endocrinology & Metabolism Research Institute, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Pouya Ebrahimi *Endocrinology and Metabolism Population Sciences Institute, First Floor, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, No 10, Jalal-Al-Ahmad Street, North Kargar Avenue, Tehran, 14117-13137, Iran.
Delaram GhadimiFaculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Farshad SharifiElderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, First Floor, Tehran University of Medical Sciences, No 10, Jalal-Al-Ahmad Street, North Kargar Avenue, Tehran, 14117-13137, Iran.
Arian AyatiEndocrinology and Metabolism Population Sciences Institute, First Floor, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, No 10, Jalal-Al-Ahmad Street, North Kargar Avenue, Tehran, 14117-13137, Iran.
Mitra MoodiElderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, First Floor, Tehran University of Medical Sciences, No 10, Jalal-Al-Ahmad Street, North Kargar Avenue, Tehran, 14117-13137, Iran.
Masoumeh KhorashadizadehSocial Determinants of Health Research Center, Birjand University of Medical Sciences, Birjand, Iran.
Hosein FakhrzadehElderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, First Floor, Tehran University of Medical Sciences, No 10, Jalal-Al-Ahmad Street, North Kargar Avenue, Tehran, 14117-13137, Iran.
Amin Zaki ZadehFaculty of Medicine, Ahwaz Jundishapur University of Medical Sciences, Ahwaz, Iran.
Pedram RamezaniEndocrinology and Metabolism Population Sciences Institute, First Floor, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, No 10, Jalal-Al-Ahmad Street, North Kargar Avenue, Tehran, 14117-13137, Iran.
Reza PirdehghanFaculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sara NooraeenDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Ali MoradiCenter for Translational Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Moloud PayabEndocrinology and Metabolism Population Sciences Institute, First Floor, Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, No 10, Jalal-Al-Ahmad Street, North Kargar Avenue, Tehran, 14117-13137, Iran. mpayab@tums.ac.ir.
Mahbube EbrahimpurEndocrinology & Metabolism Research Institute, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran. m-ebrahimpur@tums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is one of the most debilitating mental disorders and a risk factor for many other chronic diseases that are commonly seen in the geriatric population. It has been claimed in previous studies that depression can be associated with obesity in this age group, but there is no common consensus between their results.

aimThis study aims to evaluate the association between depression metabolic syndrome and obesity phenotypes in community-dwelling older adults living in the East of Iran. METHOD AND MATERIALS: As a part of the Birjand Longitudinal Aging Study, this retrospective cross-sectional study was conducted on participants older than 60. They were categorized based on their body mass index and components of metabolic syndrome into four phenotypes: metabolic non-healthy obese (MNHO), metabolic healthy obese (MHO), metabolic healthy non-obese (MHNO), and metabolic non-healthy non-obese (MNHNO). The relative risk ratio (RRR) of the obesity phenotypes, the severity of depressive symptoms, and the 95% confidence intervals (95% CI) were evaluated by univariate and multinomial logistic regression.

resultsOf 1344 eligible participants, 268 (19.94%) had depression. Moderate, moderate-severe, and severe depression were observed in 179 (13.32%), 67 (4.99%), and 22 (1.64%) participants, respectively. Our findings showed a non-significant increase in the RRR of mild depressive symptoms in MNHO (RRR:1.22, 95% CI 0.56-2.66) and severe symptoms in MNHNO (RRR:1.20, 95% CI 0.02-63.17) females. However, in male participants, the RRR of moderate-severe depressive symptoms only increased non-significantly for the MNHO category (RRR:1.34, 95% CI 0.45-3.98).

conclusionWe did not observe a meaningful association between depressive symptoms and obesity phenotypes. Also, other than malnutrition or its risk, various severities of depressive symptoms correlate with different sociodemographic and medical risk factors among male and female senior citizens.

Indexed as

DepressionIndependent LivingObesityPhenotypeAgedAged, 80 and overBody Mass IndexCross-Sectional StudiesFemaleHumansIranLongitudinal StudiesMaleMetabolic SyndromeMiddle AgedPrevalenceAgingDepressionMetabolic syndromeMood disordersObesity

Identifiers

PMID39708254
PMCPMC11663182

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