Evidence map›Paper›PMID 26625120›Full record

ArticlePloS one2015

Factors Affecting Gender Differences in the Association between Health-Related Quality of Life and Metabolic Syndrome Components: Tehran Lipid and Glucose Study.

Parisa Amiri, Tina Deihim, Reza Taherian, Mehrdad Karimi, Safoora Gharibzadeh, Mohammad Asghari-Jafarabadi, Niloofar Shiva, Fereidoun Azizi

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

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

  1. Metabolic syndrome and quality of life: a systematic review.Revista latino-americana de enfermagem · 2016
    Pooled it
  2. Article
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  10. Health-Related Quality of Life in Tehran Lipid and Glucose Study.International journal of endocrinology and metabolism · 2018
    Review
  11. Tobacco Smoking: Findings from 20 Years of the Tehran Lipid and Glucose Study.International journal of endocrinology and metabolism · 2018
    Review
  12. Article
  13. Article
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

8 authors.

Parisa AmiriResearch Center for Social Determinants of Health & Obesity Research Center, Research Institute for Endocrine sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Tina DeihimResearch Center for Social Determinants of Health & Obesity Research Center, Research Institute for Endocrine sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Reza TaherianResearch Center for Social Determinants of Health & Obesity Research Center, Research Institute for Endocrine sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mehrdad KarimiResearch Center for Social Determinants of Health & Obesity Research Center, Research Institute for Endocrine sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Safoora GharibzadehDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Asghari-JafarabadiRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Niloofar ShivaEndocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Fereidoun AziziEndocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUsing structural equation modeling, this study is one of the first efforts aimed at assessing influential factors causing gender differences in the association between health-related quality of life (HRQoL) and metabolic syndrome.

methodsA sample of 950 adults, from Tehran Lipid and Glucose Study were recruited for this cross sectional study in 2005-2007. Health-related quality of life was assessed using the Iranian version of SF-36. Metabolic syndrome components (MetSCs) and physical and mental HRQoL were considered as continuous latent constructs explaining the variances of their observed components. Structural equation modeling was performed to examine the association between the constructs of MetSCs and the physical and mental HRQoL within the two gender groups.

resultsBased on the primary hypothesis, MetSCs and HRQoL were fitted in a model. The negative effect of MetSCs on HRQoL was found to be significant only in the physical domain and only in women. The proportion of all the cardio-metabolic risk factors as well as subscales of physical HRQoL that have been explained via the two constructs of MetSCs and HRQoL, respectively, were significantly higher in women. Physical activity in both men (β = 3.19, p<0.05) and women (β = 3.94, p<0.05), age (β = -3.28, p<0.05), education (β = 2.63, p<0.05) only in women and smoking (β = 2.28, p<0.05) just in men, directly affected physical HRQoL. Regarding the mental domain, physical activity (β = 3.37, p<0.05) and marital status (β = 3.44, p<0.05) in women and age (β = 2.01, p<0.05) in men were direct effective factors. Age and education in women as well as smoking in men indirectly affected physical HRQoL via MetSCs.

conclusionGender differences in the association between MetSCs and physical HRQoL could mostly be attributed to the different structures of both MetSCs and physical HRQoL constructs in men and women. Age and smoking are the most important socio-behavioral factors which could affect this gender-specific association in the mental domain.

Indexed as

HealthQuality of LifeCross-Sectional StudiesFemaleHumansIranMaleMetabolic SyndromeMiddle AgedSex DistributionSurveys and Questionnaires

Identifiers

PMID26625120
PMCPMC4666460

What OpenQuestion holds

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LicenceCC BY
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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.