Evidence map›Paper›PMID 39669139›Full record

ArticleHeliyon2024

The impact of household wealth status on anxiety and depression of Nepal reproductive age women: Propensity score matching analysis.

Angwach Abrham Asnake, Bezawit Melak Fente, Beminate Lemma Seifu, Hiwot Altaye Asebe, Mamaru Melkam, Meklit Melaku Bezie, Yohannes Mekuria Negussie, Zufan Alamrie Asmare

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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. Article
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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

8 authors.

Angwach Abrham AsnakeDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences and Medicine, Wolaita Sodo University, Wolaita Sodo, Ethiopia.
Bezawit Melak FenteDepartment of General Midwifery, School of Midwifery, College of Medicine & Health Sciences, University of Gondar, Gondar, Ethiopia.
Beminate Lemma SeifuDepartment of Public Health, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.
Hiwot Altaye AsebeDepartment of Public Health, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.
Mamaru MelkamUniversity of Gondar College of Medicine and Health Science, Department of Psychiatry, University of Gondar, Gondar, Ethiopia.
Meklit Melaku BezieDepartment of Public Health Officer, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Yohannes Mekuria NegussieDepartment of Medicine, Adama General Hospital and Medical College, Adama, Ethiopia.
Zufan Alamrie AsmareDepartment of Ophthalmology, School of Medicine and Health Science, Debre Tabor University, Debre Tabor, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mental health problems, particularly anxiety and depression, are indeed among the leading health challenges worldwide, affecting individuals across all age groups and geographic locations. The relationship between mental health and socioeconomic factors, including household wealth status, is well-documented. However, there are currently no studies demonstrating a causal relationship between household wealth and common mental disorders, such as anxiety and depression. Therefore, this study aimed to assess the effect of household wealth status on anxiety and depression through Propensity Score Matching analysis (PSM) analysis. Methods: This study used the recent 2022 Nepal Demographic and Health Survey (NDHS). A weighted sample of 7411 reproductive-age (aged 15-49 years) women who were interviewed for mental health conditions were included in this study. Anxiety and depression were the dependent variables of this study. The NDHS utilized the Generalized Anxiety Disorder 7-item scale (GAD-7) to assess levels of anxiety among participants and the Patient Health Questionnaire 9 (PHQ-9) to evaluate depression. PSM analysis was employed to examine the causal connection between household wealth and women's anxiety and depression by controlling for confounding variables. Results: The average treatment effects (ATE) of non-poor household status on anxiety and depression were -0.015 and -0.052 respectively, indicating that non-poor household status reduces women's anxiety and depression. It implies the difference in risks of anxiety and depression that would be observed if everyone in the population were from non-poor households, versus if everyone in the population were from poor households were 1.5 % and 5.2 % respectively. The average treatment effect on treated (ATT) result showed that women from non-poor wealth status households reduced the risk of anxiety and depression by 1.1 % and 9.2 % respectively among treated groups. Conclusion: This study evidenced that causal relationship between household wealth status and common mental health conditions as such anxiety and depression. This suggests, it is better to focus on improving the wealth status of households to enhance the mental health of reproductive-age women. By understanding the multidimensional aspects of poverty and their links to mental health, stakeholders can create more effective strategies to support affected individuals and communities. This can contribute to breaking the cycle of poverty and improving overall well-being.

Indexed as

CausalityMatchingMental health

Identifiers

PMID39669139
PMCPMC11636102

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LicenceCC BY-NC-ND
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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.