Evidence map›Paper›PMID 35148694›Full record

ArticleBMC psychiatry2022

Satisfaction with life, depression, anxiety, and stress among adolescent girls in Tehran: a cross sectional study.

Sara-Sadat Hoseini-Esfidarjani, Kiarash Tanha, Reza Negarandeh

Abstract read
In one paragraph

Article in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 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

3 authors.

Sara-Sadat Hoseini-EsfidarjaniNursing and Midwifery Care Research Center, Tehran University of Medical Sciences, Nosrat St., Tehran, 1419733171, Iran.ORCID 0000-0002-4476-7591
Kiarash TanhaDepartment of Biostatistics, School of Public Health, Iran University of Medical Sciences, ShahidHemmatHighway, Tehran, 1449614535, Iran.ORCID 0000-0002-2820-5409
Reza NegarandehNursing and Midwifery Care Research Center, Tehran University of Medical Sciences, Nosrat St., Tohid Sq., Tehran, 1419733171, Iran. rnegarandeh@tums.ac.ir.ORCID 0000-0002-7597-5094

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OBJECTIVE AND

backgroundMental health is a widespread field that entails variables such as the presence of positive feelings like satisfaction with life and lack of negative emotions like depression, anxiety, and stress. This research aimed to study the prevalence of depression, anxiety, stress, and satisfaction with life as dimensions of adolescent girls' mental health in Tehran. METHODOLOGY: The population considered in this cross-sectional study consisted of adolescent girls in the last grade of high school in Tehran. Research samples were selected using multi-stage sampling. The sample size in this study was 491 and the research tools used were standardized questionnaires. Descriptive and inferential statistics included Spearman, ANOVA, and regression tests were used.

findingsMore than half of the adolescents experienced common symptoms of depression, anxiety, and stress. About 30% of adolescents were dissatisfied with life to some extent. Satisfaction with life was negatively correlated with age, depression, anxiety, and stress. Age and depression were predictor variables of life satisfaction based on the regression model.

conclusionA considerable percentage of adolescents suffered some form of depression, anxiety, and stress symptoms and were notably dissatisfied with life. Regarding the importance of satisfaction with life in having a joyful life and its role in initiating depression, anxiety, and stress, our findings highlight the need for interventions to prevent depression, anxiety, and stress and enhance life satisfaction among adolescents.

Indexed as

DepressionPersonal SatisfactionAdolescentAnxietyCross-Sectional StudiesFemaleHumansIranAdolescent girlsAnxietyDepressionSatisfaction with lifeStress

Identifiers

PMID35148694
PMCPMC8840633

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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.