Evidence map›Paper›PMID 38743742›Full record

ArticlePloS one2024

Relationship between personality traits and postpartum depression in Pakistani fathers.

Najam Ul Hasan Abbasi, Ahmad Bilal, Khair Muhammad, Saba Riaz, Shakeela Altaf

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Paternal Postpartum Depression in South Asia.Public health challenges · 2026
    Review
  4. Article
  5. 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

5 authors.

Najam Ul Hasan AbbasiDepartment of Academic Sciences, Mianyang Normal University, Mianyang, Sichuan, China.
Ahmad BilalDepartment of Applied Psychology, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Khair MuhammadDepartment of Psychology, Government Degree College, Balakot, Mansehra, KPK, Pakistan.
Saba RiazDepartment of Allied Health Sciences, Iqra University, Islamabad, Pakistan.
Shakeela AltafDepartment of Applied Psychology, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The previous studies have found an association between Big Five personality traits and postpartum depression in women. The present study aimed to find out an association between Big Five personality traits and postpartum depression in a sample of Pakistani fathers. A total of 400 Pakistani fathers who had birth of a child in the past 1 month to 1 year period and had been living with their married partners were recruited purposively by using Google Form based survey from the major cities of Pakistan. The Urdu translated versions of Big Five Personality Inventory (BFI) and Edinburgh Postnatal Depression Scale (EPDS) were used as the main outcome measures to assess the relationship between personality traits and postpartum depression. The results found a significant negative and moderate association between Big Five personality traits and paternal postpartum depression except openness which had a weak association and neuroticism which had a positive and moderate association with PPPD (r(398) = .45). The multiple linear regression analysis found that Big Five personality traits significantly predicted paternal postpartum depression (F(5, 394) = 53.33, p = .001) except openness (B = .007, p = .98). The analysis of variance (ANOVA) found significant differences in paternal postpartum depression for age of father (F(2, 397) = 6.65, p = .001, ηp2 = .03), spouse age (F(2, 393) = 5.97, p = .003, ηp2 = .02), employment type (F(2, 395) = 9.69, p = .001, ηp2 = .04) and time spent at home (F(2, 397) = 6.23, p = .002, ηp2 = .03) while there were found no significant differences for education (F(2, 397) = 1.29, p = .27, ηp2 = .006), marital duration (F(2, 397) = 2.17, p = .11, ηp2 = .01), and birth number of recent child (F(2, 397) = 1.48, p = .22, ηp2 = .007). The study concluded that Big Five personality traits are significantly correlated with and predict paternal postpartum depression except openness which did not predict paternal postpartum depression. The occurrence of paternal postpartum depression varied significantly for age of father, age of spouse, type of employment and time spent at home.

Indexed as

Depression, PostpartumFathersPersonalityAdultFemaleHumansMaleMiddle AgedPakistanPersonality InventoryYoung Adult

Identifiers

PMID38743742
PMCPMC11093302

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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.