Format

Send to

Choose Destination
Int J Behav Med. 2019 Apr;26(2):207-216. doi: 10.1007/s12529-019-09774-7.

Mapping a Syndemic of Psychosocial Risks During Pregnancy Using Network Analysis.

Author information

1
Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA, 02114, USA. kwchoi@mgh.harvard.edu.
2
Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA. kwchoi@mgh.harvard.edu.
3
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. kwchoi@mgh.harvard.edu.
4
Maternal Adolescent and Child Health (MatCH) Research Unit, Department of Obstetrics and Gynaecology, University of the Witwatersrand, Durban, KwaZulu-Natal, South Africa.
5
School of Health Sciences, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.
6
Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
7
Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
8
Duke Global Health Institute, Duke University, Durham, NC, USA.
9
MGH Center for Global Health, Massachusetts General Hospital, Boston, MA, USA.
10
School of Public Health, Oregon Health and Science University-Portland State University, Portland, OR, USA.
11
Department of Psychology, University of Miami, Miami, FL, USA.

Abstract

BACKGROUND:

Psychosocial risks during pregnancy impact maternal health in resource-limited settings, and HIV-positive women often bear a heavy burden of these factors. This study sought to use network modeling to characterize co-occurring psychosocial risks to maternal and child health among at-risk pregnant women.

METHODS:

Two hundred pregnant HIV-positive women attending antenatal care in South Africa were enrolled. Measured risk factors included younger age, low income, low education, unemployment, unintended pregnancy, distress about pregnancy, antenatal depression, internalized HIV stigma, violence exposure, and lack of social support. Network analysis between risk factors was conducted in R using mixed graphical modeling. Centrality statistics were examined for each risk node in the network.

RESULTS:

In the resulting network, unintended pregnancy was strongly tied to distress about pregnancy. Distress about pregnancy was most central in the network and was connected to antenatal depression and HIV stigma. Unintended pregnancy was also associated with lack of social support, which was itself linked to antenatal depression, HIV stigma, and low income. Finally, antenatal depression was connected to violence exposure.

CONCLUSIONS:

Our results characterize a network of psychosocial risks among pregnant HIV-positive women. Distress about pregnancy emerged as central to this network, suggesting that unintended pregnancy is particularly distressing in this population and may contribute to further risks to maternal health, such as depression. Prevention of unintended pregnancies and interventions for coping with unplanned pregnancies may be particularly useful where multiple risks intersect. Efforts addressing single risk factors should consider an integrated, multilevel approach to support women during pregnancy.

TRIAL REGISTRATION:

ClinicalTrials.gov identifier: NCT03069417.

KEYWORDS:

Depression; Network analysis; Perinatal mental health; Pregnancy; South Africa; Syndemic

PMID:
30805768
DOI:
10.1007/s12529-019-09774-7
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Springer
Loading ...
Support Center