scholarly journals Ripple Effects of the Communities Preventing Childhood Obesity Project

2018 ◽  
Vol 21 (2) ◽  
pp. 308-318 ◽  
Author(s):  
Abby L. Gold ◽  
Keith Bennett ◽  
Rick J. Jansen ◽  
Amy R. Mobley ◽  
Sandra B. Procter ◽  
...  
Keyword(s):  
Childhood Obesity ◽  
Low Income ◽  
Weight Status ◽  
Ecological Model ◽  
Social Ecological Model ◽  
Ripple Effect ◽  
Community Assets ◽  
Community Capitals ◽  
Social Ecological ◽  
Quasi Experimental

This research examines the practice of community coaching within coalitions in the Communities Preventing Childhood Obesity project. A quasi-experimental design was used in seven Midwestern states. Each state selected two rural, low-income communities with functioning health coalitions. Coalitions were randomly assigned to be intervention or comparison communities. After 4 years of the coaching intervention, ripple effect mapping served as one method for examining the coalitions’ work that may affect children’s weight status. A research team from each state conducted ripple effect mapping with their two coalitions, resulting in 14 ripple maps. Community capitals framework and the social–ecological model were used for coding the items identified within the ripple maps. A quantitative scoring analysis determined if differences existed between the intervention and comparison coalitions in terms of the activities, programs, funding, and partnerships for social–ecological model score (e.g., individual, community, policy levels), community capitals score, and ripples score (e.g., number of branches formed within the maps). All scores were higher in intervention communities; however, the differences were not statistically significant ( p > .05). Assessing community assets, such as availability of a community coach, is necessary in order to decide whether to deploy certain resources when designing health promotion strategies.

scholarly journals The relative contribution of layers of the Social Ecological Model to childhood obesity

2014 ◽  
Vol 18 (11) ◽  
pp. 2055-2066 ◽  
Author(s):  
Punam Ohri-Vachaspati ◽  
Derek DeLia ◽  
Robin S DeWeese ◽  
Noe C Crespo ◽  
Michael Todd ◽  
...  
Keyword(s):  
Physical Activity ◽  
Childhood Obesity ◽  
Low Income ◽  
Weight Status ◽  
Ecological Model ◽  
Parental Perceptions ◽  
Social Ecological Model ◽  
Relative Contribution ◽  
Social Ecological ◽  
The Social

AbstractObjectiveThe Social Ecological Model (SEM) has been used to describe the aetiology of childhood obesity and to develop a framework for prevention. The current paper applies the SEM to data collected at multiple levels, representing different layers of the SEM, and examines the unique and relative contribution of each layer to children’s weight status.DesignCross-sectional survey of randomly selected households with children living in low-income diverse communities.SettingA telephone survey conducted in 2009–2010 collected information on parental perceptions of their neighbourhoods, and household, parent and child demographic characteristics. Parents provided measured height and weight data for their children. Geocoded data were used to calculate proximity of a child’s residence to food and physical activity outlets.SubjectsAnalysis based on 560 children whose parents participated in the survey and provided measured heights and weights.ResultsMultiple logistic regression models were estimated to determine the joint contribution of elements within each layer of the SEM as well as the relative contribution of each layer. Layers of the SEM representing parental perceptions of their neighbourhoods, parent demographics and neighbourhood characteristics made the strongest contributions to predicting whether a child was overweight or obese. Layers of the SEM representing food and physical activity environments made smaller, but still significant, contributions to predicting children’s weight status.ConclusionsThe approach used herein supports using the SEM for predicting child weight status and uncovers some of the most promising domains and strategies for childhood obesity prevention that can be used for designing interventions.

scholarly journals Social Ecological Model (SEM) and Childhood Obesity: What Do the Data Suggest?

2013 ◽  
Vol 27 (S1) ◽  
Author(s):  
Punam Ohri‐Vachaspati ◽  
Robin DeWeese ◽  
Noe C. Crespo ◽  
Michael Todd ◽  
Michael J. Yedidia
Keyword(s):  
Childhood Obesity ◽  
Ecological Model ◽  
Social Ecological Model ◽  
Social Ecological

scholarly journals Working towards a comprehensive understanding of HPV and cervical cancer among Indigenous women: a qualitative systematic review

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e050113
Author(s):  
Sneha Sethi ◽  
Brianna Poirier ◽  
Karen Canfell ◽  
Megan Smith ◽  
Gail Garvey ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Prevention ◽  
Ecological Model ◽  
Cervical Screening ◽  
Hpv Infection ◽  
Cervical Cancer Prevention ◽  
Social Ecological Model ◽  
Indigenous Women ◽  
Indigenous Populations ◽  
Social Ecological

RationaleIndigenous peoples carry a disproportionate burden of infectious diseases and cancers and are over-represented among the socially disadvantaged of most countries. Human papillomavirus (HPV) is a risk factor and causative agent of cervical, oropharyngeal and other cancers. Recent literature shows evidence of Indigenous populations being at increased risk of HPV infections and its associated cancers.ObjectiveThis is a qualitative systematic review. The objective of this study was to explore the experiences and barriers Indigenous women face in relation to HPV awareness, knowledge and cervical screening, in order to better understand factors that may mitigate against or facilitate prevention efforts for HPV infection and associated cancers.MethodsTwo investigators independently searched MEDLINE, PubMed, SCOPUS and Web of Science databases (for articles published from inception until 30 June 2020) using a prespecified search strategy to identify qualitative studies on narratives of Indigenous women regarding HPV infection awareness, knowledge and cervical screening, across all geographic and income-level settings. Using a ‘meta-study’ approach, a social ecological model of cervical screening, infection and associated cancer prevention among Indigenous populations was formulated.ResultsFive core themes were identified and formulated within the social ecological model; intrapersonal factors, interpersonal factors, institutional/organisational factors, sociocultural/community factors and public policy. These collectively formed the proposed social ecological model of HPV infection awareness and cervical cancer prevention among Indigenous women. This model has been synthesised by taking into account personal stories of Indigenous women and healthcare workers, thus offering a more nuanced, organised, structured and culturally sensitive approach to policy translation.ConclusionThe social ecological model of HPV infection awareness and cervical cancer prevention among Indigenous women offers a holistic and practical approach for Indigenous health policy makers. It clearly addresses the high risk of Indigenous populations at a global level in experience of both HPV infection and HPV-related cancers.PROSPERO registration numberCRD42020207643.

scholarly journals Conceptualizing the effects of the COVID-19 pandemic on people with opioid use disorder: an application of the social ecological model

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Ethan Cowan ◽  
Maria R. Khan ◽  
Siri Shastry ◽  
E. Jennifer Edelman
Keyword(s):  
Structural Changes ◽  
Ecological Model ◽  
Disease Incidence ◽  
Opioid Use Disorder ◽  
Social Ecological Model ◽  
Physical And Mental Health ◽  
Opioid Use ◽  
Social Ecological ◽  
The Social ◽  
The Impact

AbstractThe COVID-19 pandemic has resulted in unparalleled societal disruption with wide ranging effects on individual liberties, the economy, and physical and mental health. While no social strata or population has been spared, the pandemic has posed unique and poorly characterized challenges for individuals with opioid use disorder (OUD). Given the pandemic’s broad effects, it is helpful to organize the risks posed to specific populations using theoretical models. These models can guide scientific inquiry, interventions, and public policy. Models also provide a visual image of the interplay of individual-, network-, community-, structural-, and pandemic-level factors that can lead to increased risks of infection and associated morbidity and mortality for individuals and populations. Such models are not unidirectional, in that actions of individuals, networks, communities and structural changes can also affect overall disease incidence and prevalence. In this commentary, we describe how the social ecological model (SEM) may be applied to describe the theoretical effects of the COVID-19 pandemic on individuals with opioid use disorder (OUD). This model can provide a necessary framework to systematically guide time-sensitive research and implementation of individual-, community-, and policy-level interventions to mitigate the impact of the COVID-19 pandemic on individuals with OUD.

Men Who Have Sex With Men and HIV Risk Behavior: Exploring the Influence of Masculinity Within the Social Ecological Model

2021 ◽  
Vol 33 (6) ◽  
pp. 511-533
Author(s):  
Kenneth C. Hergenrather ◽  
Diona Emmanuel ◽  
Robert J. Zeglin ◽  
David J. Ruda ◽  
Scott D. Rhodes
Keyword(s):  
Risk Behavior ◽  
Hiv Risk ◽  
Ecological Model ◽  
The United States ◽  
Social Ecological Model ◽  
Hiv Risk Behavior ◽  
Bisexual Men ◽  
Social Ecological ◽  
The Social ◽  
Sex With Men

In the United States, gay, bisexual men, and men who have sex with men (MSM) represent 86% of new HIV infections among males. Approximately 1 in 7 men with HIV are unaware of their HIV status (CDC, 2017, 2019a, 2020a). To explore influences on MSM HIV risk behavior, the authors performed a systematic review of quantitative studies conducted in the U.S. assessing what is purported as masculinity. From 30 identified studies, significant findings were framed within the Social Ecological Model (SEM) levels (e.g., Individual, Relationship, Community). SEM level themes were applied to create the Masculinity 10, a preliminary 10-item assessment to explore the influence of masculinity on MSM HIV risk behavior. To increase MSM engagement in HIV prevention and treatment, the influences of masculinity (e.g., attitude toward sexual minorities, appearance, emotion, temperament, substance use, sexual activity, social support, intimate relationships, health care) on HIV risk behavior should be further explored.

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