Evidence map›Paper›PMID 34281040›Full record

ArticleInternational journal of environmental research and public health2021

Prevalence and Correlates of Likely Major Depressive Disorder among the Adult Population in Ghana during the COVID-19 Pandemic.

Medard Kofi Adu, Lauren J Wallace, Kwabena F Lartey, Joshua Arthur, Kenneth Fosu Oteng, Samuel Dwomoh, Ruth Owusu-Antwi, Rita Larsen-Reindorf, Vincent I O Agyapong

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

9 authors at 5 institutions in 3 countries.

Medard Kofi AduDepartment of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2R3, Canada.
Lauren J WallaceDodowa Health Research Centre, Research and Development Division, Ghana Health Service, Dodowa P.O. DD1, Ghana.
Kwabena F LarteyChan School of Public Health, Harvard University, Boston, MA 02115, USA.ORCID 0000-0002-6326-9352
Joshua ArthurPublic Health Unit, Komfo Anokye Teaching Hospital, Kumasi P.O. Box 1934, Ghana.ORCID 0000-0003-0315-784X
Kenneth Fosu OtengAshanti Regional Directorate, Ghana Health Service, Ashanti Region, Kumasi P.O. Box 1934, Ghana.
Samuel DwomohAshanti Regional Directorate, Ghana Health Service, Ashanti Region, Kumasi P.O. Box 1934, Ghana.
Ruth Owusu-AntwiDepartment of Psychiatry, Komfo Anokye Teaching Hospital, Kumasi P.O. Box 1934, Ghana.
Rita Larsen-ReindorfAshanti Regional Directorate, Ghana Health Service, Ashanti Region, Kumasi P.O. Box 1934, Ghana.ORCID 0000-0003-3481-0266
Vincent I O AgyapongDepartment of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2R3, Canada.ORCID 0000-0002-2743-0372
Ghana Health Service · GHKomfo Anokye Teaching Hospital · GHUniversity of Alberta · CADodowa Health Research Centre · GHHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmerging research suggests that the novel coronavirus disease (COVID-19) pandemic and associated public health restrictions have caused psychological distress in many contexts. In order for public health authorities and policy makers to effectively address the psychological distress associated with the pandemic, it is important to determine the prevalence and correlates of mental disorders, including depression.

objectivesWe aimed to determine the prevalence, and demographic, social, clinical and other COVID-19 related correlates of major depressive disorder symptoms among the general population in Ghana during the COVID-19 pandemic.

methodThe study was a cross-sectional survey using online data collection methods. The survey assessed demographic, social and clinical variables as well as COVID-19 related variables. Major depressive disorder symptoms were assessed using the Patient Health Questionnaire-9. The survey link was distributed primarily through WhatsApp-based platforms. Data were analyzed using descriptive and inferential statistics.

resultsThe overall prevalence of likely MDD symptoms among the sample population was 12.3%. Variables such as employment, loss of jobs during the pandemic and rate of exposure to COVID-related news were independently and significantly associated with the likelihood that respondents had likely MDD. Variables such as gender, relationship, housing status and having a family member or friend who was sick from COVID-19 were not independently significantly associated with the likelihood that respondents had likely MDD, when all other factors in the model were controlled.

conclusionThis study has identified the prevalence and correlates of depression symptoms in Ghana during the COVID-19 pandemic. There is the urgent need for mental health policy makers and the government of Ghana to have policies in place to alleviate the potential threat to the mental health of the population.

Indexed as

COVID-19Major Depressive DisorderAdultAnxietyCross-Sectional StudiesDepressionGhanaHumansPandemicsPrevalenceSARS-CoV-2COVID-19depressionGhanamajor depressive disordermental healthpandemic

Identifiers

PMID34281040
PMCPMC8297143
OpenAlexW3174613310

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.