Middle class mothers (n = 169) of middle adolescents (M = 15.69 years old) in the U.S. rated how much they want to know and responded qualitatively about what they "always" and "never" want to know about adolescents' risky prudential (e.g., drinking alcohol, using illegal drugs), personal (e.g., teens' private conversations), and multifaceted (involving overlapping prudential and personal concerns) activities. Latent growth curve modeling over one year showed that mothers wanted to know most about prudential, less about multifaceted, and least about personal activities; wanting to know declined over time for each type of activity, but less for prudential than for other activities. With teen problem behavior controlled, psychologically controlling parenting, supportive and negative interactions with teens, knowledge of adolescents' activities, and teens' age were associated with individual differences in mothers' initial ratings and trajectories of wanting to know, although results varied by domain and were moderated by teen gender.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.adolescence.2014.10.006 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Effectiveness of a technical support program with women's self-help groups in catalyzing health and nutrition behaviors in Bihar-a multicomponent analysis.
Front Public Health
January 2025
Bihar Technical Support Unit, Patna, India.
Introduction: Bihar Rural Livelihoods Promotion Society launched the JEEViKA program in 2007 to improve livelihoods through the Self-Help Group (SHG) platform. Women's SHGs have shown members' health improvements by promoting awareness, practices and access to services. This study investigates whether Health & Nutrition (HN) interventions delivered by JEEViKA Technical Support Program (JTSP) via SHG platforms could improve maternal and newborn health and nutritional behaviors in rural Bihar.
View Article and Find Full Text PDFExplore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh.
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.
Rural-urban disparity in uptaking skilled antenatal care visits by pregnant women in Bangladesh: Zero and One Inflated Poisson regression model.
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.
"It's that feeling that you can't get away": Motherhood, gender inequality and the stress process during extreme events.
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.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!