Utilizing the Social Ecological Model to Inform Nursing Practice for Improved Childhood Eating Behaviors.

Res Theory Nurs Pract

Department of Population Health, College of Nursing, University of Cincinnati, Cincinnati, Cincinnati, OH 45221, USA.

Published: March 2025

Understanding and promoting healthy eating behaviors in young children is essential for their immediate and long-term health outcomes. However, these behaviors are influenced by an intricate network of factors that extend beyond individual choices, posing challenges for health practitioners seeking effective interventions. This article aims to explore how the Social Ecological Model (SEM) can serve as a framework for understanding the multilevel determinants of young children's eating behaviors, and the seminal role that nursing plays in this dynamic. The SEM encompasses five levels of influence: individual, interpersonal, community, organizational, and policy. At the individual level, factors include the child's biological predispositions and nutritional knowledge. The interpersonal level highlights the role of parents and caregivers in modeling and shaping dietary habits. Community influences focus on access to nutritious foods and social norms, while the organizational level emphasizes the importance of schools and health care settings in reinforcing healthy eating. The policy level addresses government regulations and public health initiatives that shape the food environment. Together, these interconnected layers provide a comprehensive understanding of the factors impacting children's eating behaviors. By applying the SEM, nursing professionals can develop multilayered, culturally sensitive interventions that address these determinants, advocating for policies and practices that support healthy eating habits and promote holistic well-being in children.

Download full-text PDF

Source
http://dx.doi.org/10.1891/RTNP-2024-0169DOI Listing

Publication Analysis

Top Keywords

eating behaviors
16
healthy eating
12
social ecological
8
ecological model
8
children's eating
8
eating
6
behaviors
5
utilizing social
4
model inform
4
inform nursing
4

Similar Publications

Utilizing the Social Ecological Model to Inform Nursing Practice for Improved Childhood Eating Behaviors.

Res Theory Nurs Pract

March 2025

Department of Population Health, College of Nursing, University of Cincinnati, Cincinnati, Cincinnati, OH 45221, USA.

Understanding and promoting healthy eating behaviors in young children is essential for their immediate and long-term health outcomes. However, these behaviors are influenced by an intricate network of factors that extend beyond individual choices, posing challenges for health practitioners seeking effective interventions. This article aims to explore how the Social Ecological Model (SEM) can serve as a framework for understanding the multilevel determinants of young children's eating behaviors, and the seminal role that nursing plays in this dynamic.

View Article and Find Full Text PDF

Psychological factors associated with binge eating among women with infertility.

Eat Behav

March 2025

Henry Ford Health, Center for Health Policy and Health Services Research, Detroit, MI, United States; Henry Ford Health, Behavioral Health, Detroit, MI, United States; Michigan State University, College of Human Medicine, East Lansing, MI.

Eating disorder pathology, including binge eating, is highly prevalent among women diagnosed with infertility. Binge eating has a range of consequences that may undermine fertility outcomes, yet population-specific risk and protective factors are unknown. Identifying factors associated with binge eating among this unique population may inform more sensitive and effective prevention and intervention efforts.

View Article and Find Full Text PDF

Impaired denitrification of aerobic granules in response to micro/nanoplastic stress: Insights from interspecies interactions and electron transfer processes.

Water Res

March 2025

National Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse Technology, Engineering Research Center of Beijing, Beijing University of Technology, Beijing 100124, China.

The accumulation of micro/nanoplastics in wastewater significantly hinders denitrification in biological wastewater treatment systems, yet the intrinsic mechanisms are not fully understood. Herein, we combined signal molecule monitoring, electrochemical characterization and multi-omics analysis to investigate how quorum sensing (QS)-mediated microbial interactions influence denitrification in aerobic granular sludge systems. Results showed that after 90-day exposure to micro/nanoplastics, cross-talk between multiple signal molecules significantly declined, thereby disrupting the QS system to opportunely sense changes in the external environment.

View Article and Find Full Text PDF

The hawksbill turtle, Eretmochelys imbricata, has been at risk of extinction for more than 40 years and remains critically endangered. While nesting beach protection is important for hatchling production, identifying inter-nesting, migratory, and foraging habitats is crucial for mitigating threats to population recovery. We report the use of satellite telemetry to monitor movements of 15 hawksbill turtles in the Western Caribbean.

View Article and Find Full Text PDF

Objectives: to map evidence available in the literature on breastfeeding counseling in rooming-in.

Methods: a scoping review, following the stages recommended by the JBI to answer the review question: what evidence is available in the literature on breastfeeding counseling during the binomial's hospitalization in rooming-in? Searches were conducted in the PubMed/MEDLINE, LILACS, Scopus, EMBASE, Web of Science, CINAHL, PsycInfo and CAPES Dissertation and Theses Catalogue databases, using the descriptors "Counseling", "Breast Feeding", "Rooming-in Care" and "Mother-Child Binomial" and their synonyms, without time or language limitations.

Results: seven studies, published between 1999 and 2020, predominantly in English, were included in the analysis.

View Article and Find Full Text PDF

Want 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!