Evidence map›Paper›PMID 40320397›Full record

ArticleScientific reports2025

Socio-demographic factors of happiness among young adults in Iran.

Ali Montazeri, Samira Mohammadi, Mahmoud Tavousi, Aliasghar Haeri-Mehrizi, Jila Sadighi, Faranak Farzadi, Farzaneh Maftoon, Afsoon Aeenparast, Ramin Mozaffari Kermani

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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

9 authors.

Ali MontazeriHealth Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran. montazeri@acecr.ac.ir.
Samira MohammadiHealth Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran.
Mahmoud TavousiHealth Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran.
Aliasghar Haeri-MehriziHealth Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran.
Jila SadighiHealth Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran.
Faranak FarzadiHealth Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran.
Farzaneh MaftoonHealth Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran.
Afsoon AeenparastHealth Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran.
Ramin Mozaffari KermaniHealth Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to measure the socio-demographic factors of happiness among young adults in Iran. A national cross-sectional study measures socio-demographic factors of happiness among a representative sample of young adults (20-39 years). The mean happiness score in all 13,173 samples was 4.09 out of 6. The results obtained from multiple logistic regression analysis showed a significant association between happiness, age, education, occupation, and income. In contrast, the association between happiness, gender, and the place of living was insignificant. Separate analyses for men and women showed that age, education, occupation, and income still stayed significant for men, but for women, only education, and income were significant. The results of the path analysis indicated that income was a predictor for happiness (ß = ± 0.09). However, the model explained about 1.5% of the variance observed (R

Indexed as

HappinessAdultCross-Sectional StudiesFemaleHumansIncomeIranMaleSocioeconomic FactorsYoung AdultHappinessIranRegression analysisSociodemographic factorsYoung adults

Identifiers

PMID40320397
PMCPMC12050272

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.