Evidence map›Paper›PMID 42046124›Full record

ArticleBMC nutrition2026

Insulin resistance and lower insulin sensitivity: significant contributors to weight regain in non-menopausal Iranian women.

Najme Rostami Rayeni, Farzad Shidfar, Fatemeh Sadat Hosseini-Baharanchi, Zia-Addin Mazhari, Tayebeh Rahideh, Afsaneh Dehnad

Abstract read
In one paragraph

Article in BMC nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Najme Rostami RayeniNutritional Sciences Research Center, Iran University of Medical Sciences, Tehran, Iran.
Farzad ShidfarNutritional Sciences Research Center, Iran University of Medical Sciences, Tehran, Iran. farzadshidfar@yahoo.com.
Fatemeh Sadat Hosseini-BaharanchiDepartment of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Zia-Addin MazhariNutritional Sciences Research Center, Iran University of Medical Sciences, Tehran, Iran.
Tayebeh RahidehNutritional Sciences Research Center, Iran University of Medical Sciences, Tehran, Iran.
Afsaneh DehnadDepartment of English Language, School of Health Management and Information Sciences, Center for Educational Research in Medical Sciences (CERMS), Iran University of Medical Sciences, Tehran, Iran.

Funding

Iran University of Medical Sciences 98-1-2-14418
6 · The paper itself

Abstract

Weight regain after weight loss due to dietary interventions is a complex and prevalent issue in weight management. Insulin resistance plays a potentially significant role in this issue. In this cross-sectional study, we investigated the association between serum insulin levels, insulin resistance, and fasting blood sugar (FBS) with weight regain among non-menopausal Iranian women. Our analysis on 146 patients who have passed one-year dietary treatment, revealed significant differences between the weight regain and weight maintenance groups. Mean insulin concentration (p = 0.02), FBS (p < 0.001), and insulin resistance (p = 0.01), were significantly higher in the weight regain group, however, insulin sensitivity was lower (p < 0.001). These findings suggest a positive correlation between elevated insulin levels, FBS, and insulin resistance, with body mass index one-year post-intervention. This study underscores the potential role of these metabolic factors in weight regain, providing valuable insights for weight management strategies.

Indexed as

Fasting blood sugarInsulinInsulin resistanceNon-menopause womenWeight regain

Identifiers

PMID42046124
PMCPMC13255282

What OpenQuestion holds

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Registered trials

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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.