Evidence map›Paper›PMID 42203294›Full record

ArticleBMJ open2026

Individual and spousal weight trajectories and their associations with health-related quality of life: a longitudinal population-based cohort from the Tehran Lipid and Glucose Study (2001-2018).

Parisa Naseri, Parisa Amiri, Leila Cheraghi, Amirali Zareie Shab Khaneh, Fereidoun Azizi

Abstract read
In one paragraph

Article in BMJ open, 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

5 authors.

Parisa NaseriResearch Center for Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran (the Islamic Republic of).
Parisa AmiriResearch Center for Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran (the Islamic Republic of) amiri@endocrine.ac.ir.ORCID http://orcid.org/0000-0002-3198-4941
Leila CheraghiResearch Center for Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran (the Islamic Republic of).
Amirali Zareie Shab KhanehDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Fereidoun AziziEndocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran (the Islamic Republic of).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the association between obesity and health-related quality of life (HRQoL) is well-documented, studies on the association between weight trajectories and HRQoL among spouses are limited. This longitudinal study aimed to characterise distinct body mass index (BMI) trajectories and their association with HRQoL at individual and spousal levels.

methodsThe total sample of 773 couples was followed for an average of 15 years. Univariate group-based trajectory models and multi-trajectory group-based models were used to identify latent classes of individual and couple BMI trajectories, respectively. Linear regression analyses were applied to investigate the associations between identified BMI trajectories and HRQoL at the individual level and at the spousal level, where spousal HRQoL refers to the association between both partners' BMI trajectories and each individual's HRQoL.

resultsBased on BMI changes over the life course, four trajectories were identified in wives and husbands at both individual and couple levels, ranging from stable healthy weight to progressively increasing overweight and obesity, with all trajectories showing an overall rise in BMI with age. In the fully adjusted model, compared with wives in the mild progressive overweight group, the mean score of physical HRQoL in women in the progressive obesity group (β=-2.14, p=0.02) and severe progressive obesity group (β=-2.55, p=0.03) was significantly lower. Moreover, compared with husbands with stable healthy weight status, those in the progressive obesity group had lower physical HRQoL (β=-2.67, p=0.02). At the spousal level, lower physical HRQoL was observed in individuals whose BMI trajectories, together with their partner's trajectory, indicated higher risk (eg, wives with severe progressive obesity and husbands with stable overweight) compared with couples with both partners in lower-risk BMI trajectories (β=-3.61, p=0.01). A similar effect was observed only in severe progressive obese women whose husbands were of stable healthy weight during their lifespan. None of the BMI trajectories at either individual or spousal levels affected mental HRQoL.

conclusionOur findings indicate a significant effect of individuals' BMI patterns on the physical domain of HRQoL. Spousal HRQoL associations reflect how both partners' BMI trajectories are jointly associated with individual HRQoL. Clinically, these results highlight the potential importance of early weight management, particularly in women, in relation to long-term physical HRQoL and possible benefits for both partners. Further investigation is required to assess the role of potential confounders in BMI-HRQoL associations.

Indexed as

Body-Weight TrajectoryObesityQuality of LifeSpousesAdultBody Mass IndexFemaleHumansIranLongitudinal StudiesMaleMiddle AgedOverweightBody Mass IndexHealthPrimary Health CareQuality of LifeSTATISTICS & RESEARCH METHODS

Identifiers

PMID42203294
PMCPMC13218141

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.