Evidence map›Paper›PMID 36583741›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2023

Contributing risk factors of common psychiatric disorders in the Pakistani population.

Aisha Nasir Hashmi, Raheel Qamar, Rizwan Taj, Usama Bin Zubair, Zehra Agha, Saddam Akber Abbasi, Maleeha Azam

Abstract read
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In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 41% of its field
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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

7 authors at 4 institutions in 2 countries.

Aisha Nasir HashmiTranslational Genomics Laboratory, Department of Biosciences, COMSATS University Islamabad, Tarlai Kalan, Park Road, Islamabad, 45600, Pakistan.
Raheel QamarScience and Technology Sector, ICESCO, Rabat, Morocco.
Rizwan TajDepartment of Psychiatry, Pakistan Institute of Medical Sciences, Islamabad, Pakistan.
Usama Bin ZubairDepartment of Psychiatry, Pakistan Institute of Medical Sciences, Islamabad, Pakistan.
Zehra AghaTranslational Genomics Laboratory, Department of Biosciences, COMSATS University Islamabad, Tarlai Kalan, Park Road, Islamabad, 45600, Pakistan.
Saddam Akber AbbasiStatistics Program, Department of Mathematics, Statistics & Physics, College of Arts and Science, Qatar University, Doha, Qatar. sabbasi@qu.edu.qa.
Maleeha AzamTranslational Genomics Laboratory, Department of Biosciences, COMSATS University Islamabad, Tarlai Kalan, Park Road, Islamabad, 45600, Pakistan. malihazam@gmail.com.ORCID http://orcid.org/0000-0003-0170-3325
COMSATS University Islamabad · PKPakistan Institute of Medical Sciences · PKPakistan Academy of Sciences · PKQatar University · QA

Funding

COMSATS Institute of Information Technology 16-38/CRGP/CIIT/ISB/17Pakistan Academy of Sciences 5-9/PAAS/1082Science and Technology Postgraduate Education and Research Development Office, Office of the Higher Education Commission grant no. 3738
6 · The paper itself

Abstract

With an increasing incidence of psychiatric disorders worldwide, there is a need for a better understanding of the population-specific contributing risk factors that are associated with common psychiatric conditions. This study aimed to assess the correlation between socioeconomic, environmental and clinical features associated with major depression (MDD n = 479), bipolar disorder (BD n = 222) and schizophrenia (SHZ n = 146), in the Pakistani population. Multinomial logistic regression and Pearson's correlation were applied to assess the association and correlation between demographic, socioeconomic, environmental, and clinical features of MDD, BD and SHZ. In the present study, MDD was found to be more prevalent than BD and SHZ. The average age at onset (AAO), was observed to be earlier in females with BD and SHZ, in addition, females with a positive family history of MDD, BD and SHZ also had an earlier AAO. The fitted multinomial logistic regression model indicated a significant association of; aggression, tobacco use, drugs abuse, history of head injuries and family history with BD as compared to MDD, while insomnia and suicidality were significantly associated with MDD. Strong positive correlations were observed mainly between age/AAO, AAO/tobacco use and aggression/insomnia in all three cohorts. In conclusion, the present study identifies possible contributing socio-demographic, biological and environmental factors that are correlated and associated with the psychiatric conditions in the Pakistani population.

Indexed as

Major Depressive DisorderMental DisordersSleep Initiation and Maintenance DisordersFemaleHumansPakistanRisk FactorsBipolarClinical featuresDepressionPopulation studiesRisk factorsSchizophrenia

Identifiers

PMID36583741
OpenAlexW4313312032

What OpenQuestion holds

Textmetadata
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.