Objectives: We used Bronfenbrenner's ecological systems theory to identify factors that predicted never or sometimes using condoms in a multiethnic cohort of adolescent mothers.
Methods: We interviewed adolescent mothers within 48 hours of delivery and surveyed them 6 and 12 months after delivery (n = 636). We used multinomial logistic regression to identify individual-, dyad-, family-, and peer and community-level factors associated with never or sometimes using versus always using condoms during intercourse at 12 months postpartum.
Results: Pregnancy status, partner refusal to use condoms, intimate partner violence, and race/ethnicity predicted both never and sometimes using condoms. Condom use 6 months earlier and church attendance also predicted never using condoms, whereas maternal monitoring was an additional predictor for sometimes using condoms.
Conclusions: Overlapping yet distinct risk profiles predicted never or sometimes using versus always using condoms. Factors from multiple levels of influence affected the condom use behaviors of adolescent mothers indicating that multilevel interventions are needed to promote safer sexual practices among these young women.
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http://dx.doi.org/10.2105/AJPH.2007.131870 | DOI Listing |
J Med Internet Res
January 2025
School of Clinical Sciences, Monash University, Melbourne, Australia.
Background: eHealth interventions can favorably impact health outcomes and encourage health-promoting behaviors in children. More insight is needed from the perspective of children and their families regarding eHealth interventions, including features influencing program effectiveness.
Objective: This review aimed to explore families' experiences with family-focused web-based interventions for improving health.
BMC Public Health
January 2025
Department of Statistics and Data Science, Jahangirnagar University, Dhaka, 1342, Bangladesh.
Background: Child mortality is a reliable and significant indicator of a nation's health. Although the child mortality rate in Bangladesh is declining over time, it still needs to drop even more in order to meet the Sustainable Development Goals (SDGs). Machine Learning models are one of the best tools for making more accurate and efficient forecasts and gaining in-depth knowledge.
View Article and Find Full Text PDFObjectives: To determine (1) which maternal and area characteristics are associated with reaching fidelity targets (the expected number of visits mothers should receive at each stage of the programme) in the Family-Nurse Partnership (FNP), and (2) whether achieving these fidelity targets affects outcomes.
Design, Setting And Population: Cohort study of mothers enrolled in the FNP, aged 13-19 years, giving birth between April 2010 and January 2018 in England. Mothers were linked to their Hospital Episode Statistics and National Pupil Database records.
PLoS One
January 2025
Department of Statistics, University of Dhaka, Dhaka, Bangladesh.
Background: Utilization of maternal health care services, specifically, antenatal care services from skilled health providers have been given utmost priority in low- and middle-income countries over years with a view of mitigating complications during pregnancy as well as safeguarding the health and survival of both mother and newborn. However, there is a general tendency of pregnant mothers in Bangladesh of receiving skilled antenatal care (SANC) service once, or even never which refrains us to ensure World Health Organization (WHO) recommended eight plus SANC visits, additionally, to meet Sustainable Development Goal (SDG) number three.
Objectives: The study aims at assessing how the average number of SANC visits taken by the reproductive women in Bangladesh changes over the time in rural and urban areas together with finding out the potential demographic and socio-economic factors associated with SANC visits by addressing possible accumulation of zero and one counts in SANC visits.
Br J Soc Psychol
April 2025
Instituto de Ciencias Sociales, Universidad de O'Higgins, Rancagua, Chile.
The impacts of extreme events can intersect with pre-disaster systemic inequalities and deficiencies, exacerbating distress. This paper contributes to the existing literature by exploring the psychosocial processes through which stressors become traumatic during an extreme event. It does so by focusing on how mothers of children and/or adolescents in the United Kingdom experienced the COVID-19 pandemic.
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