Evidence map›Paper›PMID 40493131›Full record

ArticleDiscover mental health2025

Exploring mental health in Iranian children: insights from a cohort dataset by using the strengths and difficulties questionnaire.

Sulmaz Ghahramani, Mona Torkaman Cheh, Ahmad Nemati, Mohammad Sayari, Kamran Bagheri Lankarani

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Article in Discover mental health, 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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5 · Who and what money

Authors and funding

5 authors.

Sulmaz GhahramaniHealth Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Mona Torkaman ChehHealth Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. monatork7@gmail.com.
Ahmad NematiHealth Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Mohammad SayariDepartment of Mathematical Science, Durham University, Durham, UK.
Kamran Bagheri LankaraniHealth Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study examines the mental health of Iranian children aged 9-12 by evaluating data extracted from a cohort dataset that includes various variables from pregnancy to the mentioned age.

methodData from the Fars Birth Cohort (FBC) was used, involving 714 children aged 9-12 in 2021. The study recorded various characteristics, including parental sociodemographics and child health, and assessed behavioral difficulties using the Strengths and Difficulties Questionnaire (SDQ) through parent-reported phone interviews. A multivariate logistic regression model identified factors linked to SDQ scores, categorized as normal or borderline/abnormal.

resultsThe average age of participants was 10.06 years, with a majority being girls (51.68%). Breastfeeding varied, with 42.30% breastfeeding for 4-6 months. Physical health was generally good, although common diagnoses included allergies (12.04%) and anemia (12.61%). Mental health evaluations indicated that 3.08% of children were diagnosed with depression or anxiety, while 2.52% were identified as having ADHD. Additionally, 94.96% of participants reported using technology for at least one hour daily. In terms of SDQ scores, 10.78% and 13.16% of children fell into the "Borderline" and "Abnormal" categories, respectively. Among subscales, the highest percentage of children scored within the "normal" range for prosocial behavior, while the highest proportion for the "abnormal" was emotional difficulties. Higher education levels of fathers (OR = 6.95), household smoking (OR = 1.89), ADHD diagnoses (OR = 22.87), and frequent technology use (OR = 3.92) were all significantly associated with increased abnormal scores. Also, child's age was a predictor of higher odds of an abnormal SDQ score (OR = 1.77).

conclusionThe study highlights complex relationships among parental, environmental, and child-specific factors affecting childhood behavioral difficulties. It underscores the need for comprehensive interventions targeting multiple risk factors, particularly household smoking, hyperactivity, and excessive technology use.

Indexed as

ChildCohort studiesIranMental healthParentsStrength and difficulties questionnaire

Identifiers

PMID40493131
PMCPMC12151934

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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.