Prevalence and Associated Factors of Maternal Depression and Anxiety Among African Immigrant Women in Alberta, Canada: Quantitative Cross-sectional Survey Study (Preprint)
Bibliographic record
Abstract
BACKGROUND Although there is a significant body of evidence on maternal mental health, an inadequate focus has been placed on African immigrant women. This is a significant limitation given the rapidly changing demographics in Canada. The prevalence of maternal depression and anxiety among African immigrant women in Alberta and Canada, as well as the associated risk factors, are not well understood and remain largely unknown. OBJECTIVE The purpose of this study was to investigate the prevalence and associated factors of maternal depression and anxiety among African immigrant women living in Alberta, Canada up to 2 years postpartum. METHODS This cross-sectional study surveyed 120 African immigrant women within 2 years of delivery in Alberta, Canada from January 2020 to December 2020. The English version of the Edinburgh Postnatal Depression Scale-10 (EPDS-10), the Generalized Anxiety Disorder-7 (GAD-7) scale, and a structured questionnaire regarding associated factors were administered to all participants. A cutoff score of 13 on the EPDS-10 was indicative of depression, while a cutoff score of 10 on the GAD-7 scale was indicative of anxiety. Multivariable logistic regression was used to determine the factors significantly associated with maternal depression and anxiety. RESULTS Among the 120 African immigrant women, 27.5% (33/120) met the EPDS-10 cutoff score for depression and 12.1% (14/116) met the GAD-7 cutoff score for anxiety. The majority of respondents with maternal depression were younger (18/33, 56%), had a total household income of CAD $60,000 or more (US $45,000 or more; 21/32, 66%), rented their homes (24/33, 73%), had an advanced degree (19/33, 58%), were married (26/31, 84%), were recent immigrants (19/30, 63%), had friends in the city (21/31, 68%), had a weak sense of belonging in the local community (26/31, 84%), were satisfied with their settlement process (17/28, 61%), and had access to a regular medical doctor (20/29, 69%). In addition, the majority of respondents with maternal anxiety were nonrecent immigrants (9/14, 64%), had friends in the city (8/13, 62%), had a weak sense of belonging in the local community (12/13, 92%), and had access to a regular medical doctor (7/12, 58%). The multivariable logistic regression model identified demographic and social factors significantly associated with maternal depression (maternal age, working status, presence of friends in the city, and access to a regular medical doctor) and maternal anxiety (access to a regular medical doctor and sense of belonging in the local community). CONCLUSIONS Social support and community belonging initiatives may improve the maternal mental health outcomes of African immigrant women. Given the complexities immigrant women face, more research is needed on a comprehensive approach for public health and preventive strategies regarding maternal mental health after migration, including increasing access to family doctors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".