| Title |
Neighborhood Deprivation and Maternal Psychological Distress During Pregnancy: A Multilevel Analysis
|
|---|---|
| Published in |
Maternal and Child Health Journal, November 2014
|
| DOI | 10.1007/s10995-014-1623-8 |
| Pubmed ID | |
| Authors |
Seungmi Yang, Yan Kestens, Mourad Dahhou, Mark Daniel, Michael S. Kramer |
| Abstract |
Maternal psychosocial distress is conceptualized as an important factor underlying the association between neighborhood deprivation and pregnancy outcomes. However, empirical studies to examine effects of neighborhood deprivation on psychosocial distress during pregnancy are scant. Based on a large multicenter cohort of pregnant women in Montreal, we examined (1) the extent to which psychosocial distress is clustered at the neighborhood-level, (2) the extent to which the clustering is explained by neighborhood material or social deprivation, and (3) whether associations between neighborhood deprivation and psychosocial distress persist after accounting for neighborhood composition (individual-level characteristics) using multilevel analyses. For 5,218 women residing in 740 neighborhoods, a prenatal interview at 24-26 gestational weeks measured both general and pregnancy-related psychological distress using well-validated scales: perceived stress, social support, depressive symptoms, optimism, commitment to the pregnancy, pregnancy-related anxiety, and maternal locus-of-control. Neighborhood deprivation indices were linked to study participants by their residential postal code. Neighborhood-level clustering (intraclass correlation) ranged from 1 to 2 % for perceived stress (lowest), optimism, pregnancy-related anxiety, and commitment to pregnancy to 4-6 % for perceived social support, depressive symptoms, and maternal locus of control (highest). Neighborhood material deprivation explained far more of the clustering (23-75 %) than did social deprivation (no more than 4 %). Although both material and social deprivation were associated with psychological distress in unadjusted analyses, the associations disappeared after accounting for individual-level socioeconomic characteristics. Our results highlight the importance of accounting for individual-level socioeconomic characteristics in studies of potential neighborhood effects on maternal mental health. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 43% |
| Chile | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 1% |
| Unknown | 96 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 19% |
| Student > Ph. D. Student | 12 | 12% |
| Researcher | 11 | 11% |
| Student > Bachelor | 8 | 8% |
| Student > Postgraduate | 5 | 5% |
| Other | 14 | 14% |
| Unknown | 29 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 24% |
| Psychology | 13 | 13% |
| Social Sciences | 8 | 8% |
| Nursing and Health Professions | 6 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Other | 9 | 9% |
| Unknown | 34 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 December 2014.
All research outputs
#2,823,145
of 23,906,448 outputs
Outputs from Maternal and Child Health Journal
#279
of 2,039 outputs
Outputs of similar age
#32,537
of 260,318 outputs
Outputs of similar age from Maternal and Child Health Journal
#9
of 33 outputs
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