Longevity and healthy relationships these obesity prevention-related recommendations, reports, rexearch other resources Flaxseeds for detoxification national and Improve concentration naturally government agencies, academic preveniton, and prevemtion organizations.
Skip to content Obesity Researvh Source. Obesity Prevention Prevnetion Menu. Search for:. Home Obesity Organic supplements online Why Use Improve concentration naturally Waist Size Matters Measuring Rfsearch Obesity Trends Child Obesity Adult Obesity Obesity Consequences Health Obesity prevention research Economic Costs Obesity Causes Genes Are Not Destiny Prenatal and Early Life Influences Food and Diet Physical Activity Sleep Toxic Food Environment Environmental Barriers to Activity Globalization Obesity Prevention Strategies Families Early Child Care Schools Health Care Worksites Healthy Food Environment Healthy Activity Environment Healthy Weight Checklist Resources and Links About Us Contact Us.
Background and General Information Centers for Disease Control and Prevention — Overweight and Obesity Non-Communicable Disease Risk Factor Collaboration — NCD RisC Institute for Health Metrics and Evaluation — Global Burden of Disease U.
Department of Agriculture — Weight and Obesity European Commission — Nutrition and Physical Activity World Health Organization WHO — Global Strategy on Diet, Physical Activity and Health Programs and Campaigns Harvard T.
Obesity Epidemiology. Oxford University Press, Gillman, MW. Maternal Obesity. Cambridge University Press,
: Obesity prevention research| Overweight & Obesity | CDC | Only one paper looked at a life stage other than child bearing years, namely older adults [ 29 ]. Implement Sci. After completing baseline assessments, the 24 schools were randomly allocated at a ratio to either the intervention or control group, stratified by district within each region eFigure 1 in Supplement 3. Increasing preventive care by primary care nursing and allied health clinicians : a non-randomized, controlled trial. Int J Obes. |
| Background | This prevfntion supported a need for the prevention of prevejtion for children in low-income families Obesitty teaching parents Improve concentration naturally to prepare Obesiyt meals. PubMed Google Scholar. If you are a member preventionn an institution Sorting fact from fiction in nutrition an active account, you may be able to access content in one of the following ways: IP based access Typically, access is provided across an institutional network to a range of IP addresses. The study has some limitations. A combination of databases is used to reliably retrieve available evidence [ 52 ]: EBSCO, Ovid, ProQuest, Scopus, Web of Science, EMBASE, and Cochrane Library see Supplementary File 2. |
| Our Research | Childhood Obesity Research Demonstration Projects CORD , Clinical and Community Data Initiative CODI , COMMIT! Maintaining a healthy weight contributes to good health now and as you age. Check out the latest state initiatives related to nutrition, physical activity, and healthy weight. Spanish language resources for healthy weight, nutrition, and physical activity. We encourage the use of person-first language and respectful images when discussing obesity and other chronic diseases. The Obesity Action Coalition has more information — please see the Guidelines for Media Portrayals of Individuals Affected by Obesity [PDF Skip directly to site content Skip directly to search. Español Other Languages. Minus Related Pages. Addressing Childhood Obesity: CORD 3. Finally, we conducted sensitivity tests. First, we examined whether dropping out of the sample affected the results. To do so, a dichotomous variable was added to indicate those with complete data on all waves vs. those with missing data on at least one follow-up. Then, we included a dummy variable for incomplete vs. complete data in the mixed-effects. Lastly, we restricted data to those with complete data in all waves. A total of participants had complete data at the baseline, with randomly assigned to the Abriendo Caminos intervention group and to the control group. Groups were similar in the baseline with no significant group differences in demographic or anthropometric variables. Table 1 provides participant characteristics at baseline with stratification by intervention arm. Over half of the participating children were affected by obesity or overweight Mothers were, on average, The majority of mothers were born in Mexico There were no statistical differences in children or mothers' demographic characteristics between the intervention and control groups at baseline. Table 1. Descriptive statistics at the baseline of Abriendo Caminos participants. Table 2 shows the mean of the BMI z-scores over the study period. Mean BMI z-scores were 1. Mean BMI z-scores for the control group were 1. For the intervention group, at baseline mean BMI z-score was 1. Based on a simple T- test, there were no statistical differences between the control and intervention groups at each assessment time point Figure 1. Table 2. However, at six-months after the program, changes in BMI z-scores for both the intervention and control groups were not statistically significantly different from baseline Table 4. Table 3. Estimated parameters from repeated mixed-effects regressions on continuous BMI z-scores outcome measures. Table 4. Changes in BMI z-scores at post-program T1 and after 6-months T2 from baseline. In further analyses, we disaggregated the sample by age young and teens and sex. Results indicate that, for boys, there were no statistical differences between the control and intervention groups. In analyses disaggregated by age, results indicated that the intervention benefited the younger children, but not older children. In additional analyses where we restricted the sample to those whose mothers were born in Mexico; the conclusions remain. Supplementary Table S1c. Given the proportion of missing data at the follow-up, we explored the data non-response pattern. Results from mixed-effects regressions, which included a dummy variable for incomplete vs. complete data, indicated that those who dropped out of the study did not differ in their baseline BMI z-scores. The remaining statistical inferences were unchanged. We further examined the data by analyzing only those with complete data, and the results remained unchanged. Despite decades of evidence-based recommendations and interventions, systematic reviews, consensus statements, with stakeholder and community members' advocacy, the effectiveness of childhood obesity prevention programs continues to be a 1 , 12 , 16 , 20 , 21 , 24 , 25 , 31 — The problem of obesity is particularly salient among Hispanic children and adolescents, accentuated by the burden of structural and social determinants of health, which limit access to opportunities and services that promote long-term engagement in health promotion behaviors 12 , 35 — Two recent systematic reviews on family-centered interventions for the treatment and prevention of childhood obesity found only a few articles with full methods and outcomes reporting effectiveness by using culturally related tools designed for US Hispanics e. Few family-based or community interventions have an RCT design, and the reported outcomes of interventions are inconsistent, ranging from a slight decrease, no change, or a larger drop in BMI particularly among those with higher BMI values at baseline 16 , Achieving BMI reduction in children and adolescents may be challenging due to their rapid physical growth in height and adiposity, particularly during early adolescence 14 , However, even smaller reductions of BMI-SDS have been associated with improved cardiometabolic health and body composition 11 , While participation in Abriendo Caminos was not associated with a large BMI reduction, participation was effective at reducing BMI z-scores at T1 by 0. Further, for girls, the reduction of BMI z-scores at T1 was 0. Although this is not a large difference, previous research has found that a reduction of BMI-z score of 0. However, weight loss was more common than weight gain in the intervention group. Future goals include adding booster monthly sessions and including shorter and more frequent intervals for measurements to determine if the effects endure over a longer time with continued intervention. Offering culturally community-engaged, family-based programs is important for the sustainability of a healthy lifestyle, as stated in pediatric clinical practice guidelines There are several limitations and strengths to this study. The main limitation was the reduced number of participants who completed assessments at three-point times. Unfortunately, this is a common problem in health promotion programs designed and implemented among underserved and ethnically diverse groups. Immediate incentives, regular reminders, and engaging activities were integral elements of the program 22 , As we recognize that Hispanic families have family and work demands, offering flexible times and multiple meeting options may help increase retention rates. Another major challenge we had with recruitment and retention of participants was due to climate and natural disasters we experienced during the course of the study, such as major hurricanes, flooding, earthquakes, and freezing. In the future, the efficacy of virtual delivery of the program is important to assess given the unpredictable challenges that can inevitably occur. However, changes in BMI z-scores were observed within this time period, demonstrating that 6 weeks can be effective in decreasing excessive weight gain. Strengths include the cultural tailoring, multi-site, a 6-month follow-up to assess the sustainability of BMI changes, a theoretical underpinning, and inclusion of evidence-based curriculum with topics related to nutrition, screen time and sleep Similarly, our whole family approach moves away from limiting program participation to parent-child dyads, thereby potentially expanding the program reach to multiple family members. In conclusion, few family-based programs demonstrate an impact on primary outcomes. Even fewer are culturally-tailored and evaluated for long-term effects. Abriendo Caminos is a culturally-tailored whole family program coupled with cultural humility that considers elements of the Hispanic culture that facilitate healthy behavior change and effectively prevented unhealthy weight gain, as a first step. Families are active participants in the program, helping shape the program to meet their needs. Obesity poses a serious threat to Hispanic families, and efforts to reduce this risk are essential in slowing and preventing this public health crisis. Culturally-tailored programs, such as Abriendo Caminos , can become a staple in communities providing families with the knowledge to produce change and pathways to enact and sustain that change. Over time, these types of programs may help drive reductions in unhealthy weight gain and prevent high rates of chronic metabolic conditions within the Hispanic population in the future. The datasets presented in this article are not readily available because we obtained a certificate of confidentiality. Unidentified datasets, without location site, could be shared in the future. Requests to access the datasets should be directed to teranmd illinois. The studies involving human participants were reviewed and approved by University of Illinois Urbana-Champaign Office for the Protection of Research Subjects IRB protocol MT-G, AH, AW, and BF contributed to conceiving, obtaining funding, and planning the overall project. MT-G, AW, AH, NO, KG, M P-D, and BF contributed to overseeing the implementation of the project and data collection and served as directors of regional sites. MT-G, AH, NO, and FCDA made substantial contributions to the manuscript and revised it extensively and critically. All authors contributed to the article and approved the submitted version. This research project was supported by the Agriculture and Food Research Initiative Competitive Grant no. Any opinions, findings, conclusions, or recommendations expressed in this study are those of the author s and do not necessarily reflect the view of the U. Department of Agriculture. The Abriendo Caminos Research Team includes: MT-G Project PI, Site PI and BF Site Co-PI at University of Illinois at Urbana-Champaign, ARW former Site Co-PI currently at Auburn University, AH Site PI at Fresno State, KG Site PI at Iowa State University, M P-D Site PI and Nancy J Correa Matos Site Co-PI at the University of Puerto Rico, and NO Site PI at University of Houston. The authors acknowledge the many undergraduate research assistants and volunteers who assisted with data collection and program implementation. We acknowledge the participants who made this study possible. We also acknowledge former graduate students Bridget Hannon and Elizabeth Villegas, who helped with the design and implementation of this study. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher. Kris-Etherton PM, Petersen KS, Velarde G, Barnard ND, Miller M, Ros E, et al. Barriers, opportunities, and challenges in addressing disparities in diet-related cardiovascular disease in the United States. J Am Heart Assoc. doi: PubMed Abstract CrossRef Full Text Google Scholar. Niles MT, Bertmann F, Belarmino EH, Wentworth T, Biehl E, Neff R. The early food insecurity impacts of COVID Beaunoyer E, Dupéré S, Guitton MJ. COVID and digital inequalities: reciprocal impacts and mitigation strategies. Comput Human Behav. Gassman-Pines A, Ananat EO, Fitz-Henley J. COVID crisis impacts on parent and child psychological well-being. Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, et al. Heart disease and stroke statistics update: a report from the American heart association. Schneiderman N, Llabre M, Cowie CC, Barnhart J, Carnethon M, Gallo LC, et al. Diabetes Care. Ogden CL, Fryar CD, Martin CB, Freedman DS, Carroll MD, Gu Q, et al. Trends in obesity prevalence by race and Hispanic origin to Di Angelantonio E, Bhupathiraju SN, Wormser D, Gao P, Kaptoge S, de Gonzalez AB, et al. Body-Mass Index and all-cause mortality: individual-participant-data meta-analysis of prospective studies in four continents. Simmonds M, Llewellyn A, Owen CG, Woolacott N. Predicting adult obesity from childhood obesity: a systematic review and meta-analysis. Obes Rev. Adab P, Pallan MJ, Lancashire ER, Hemming K, Frew E, Griffin T, et al. Learn more about the Childhood Obesity Prevention Research. The Healthy Weight Care Assistant. Jeremy Michel helped to develop a recent quality improvement pilot project using clinical decision support CDS at one ambulatory care center. This CDS - The Healthy Weight Care Assistant - was developed to promote the weight status recognition and to support evidence-based recommendation adherence for obesity management. Modeling of Obesity-related Risk Factors Using CHOP Network Registry Data. Information from electronic health records will be used to assess current obesity-related care in the CHOP pediatric network. A Peer-based, Social-media Enabled Intervention to Promote Healthy Growth in Infancy. This study will develop and examine a novel peer-based, social media-enabled intervention that promotes behavior change through modeling to prevent obesity in infants from birth to 6 months of age. Using electronic health records, we are extracting obesity-related data from patient records in the Healthy Weight Clinic and CHOP's network of primary care practices. Infant Growth and Microbiome Study I-gram. This prospective observational cohort study will test associations between gut microbiota and early weight gain in the first year of life among infants born to normal-weight vs. obese African American, mainly low-income mothers, where obesity risk is among the highest. Eating Pace Retraining in Early Childhood Obesity Prevention. |
| Obesity Prevention Source | Harvard T.H. Chan School of Public Health | Reserch study will Obesiy and examine a Obesity prevention research peer-based, social media-enabled Heart health promotion tips that promotes behavior change prsvention modeling to prwvention obesity in infants from birth to 6 months of age. Report of the Commission on Ending Childhood Obesity. This article evaluates the effect of a family-based, childhood obesity primary prevention intervention in a community setting. Approximately students from 10 different schools were recruited and separated into an intervention or control group. The participants included individuals who were recruited from 30 low-income areas within the Baltimore area. |
Obesity prevention research -
Randomization into the intervention and control groups was conducted during initial data collection for each cycle in each cohort. Randomization process was determined by site, and participating families were randomized using a random number generator Research Randomizer, Lancaster, PA, , or by participants selecting a ball from a bag, whose color corresponded to a specific treatment arm.
Families were randomized in a ratio of per cycle of the program. Groups were not matched on child age or sex. The number of families and participants in each cohort varied depending on staffing and space capacity at each site and the number of eligible families available at each time.
On average, 12—20 families participated per cohort. The Abriendo Caminos intervention was available in Spanish and English; it was delivered by dedicated and trained staff. Each site had a primary investigator, who recruited bilingual staff, including graduate and undergraduate pre-health, human nutrition, human development, community health, or kinesiology students, and -when possible- extension and volunteer personnel embedded in the local community.
The selected sites in Illinois Champaign, Urbana, and Rantoul , and Iowa Ottumwa and Perry , are suburban, while those in Texas, California, and Puerto Rico are urban. At the Texas site Houston , Hispanic families were recruited from an urban Houston Metropolitan area targeting a low-income, predominantly Mexican neighborhood named East End.
Due to the long relationship with the community, potential Hispanic families were recruited from social services agencies such as community centers and clinics. In California, the site Fresno is a major city in the Central Valley.
Project coordinators and research assistants contacted families in multiple ways, including passing out flyers at Hispanic grocery stores, flea markets, elementary schools, and churches.
At the Puerto Rico site, families were recruited from the west side of the island. This was due to the location of the University of Puerto Rico at Mayaguez UPRM. The University of Puerto Rico, Mayagüez Campus, is a public land-grant university.
UPRM is the second-largest university campus of the University of Puerto Rico system. In addition to its status as a land-grant university, it is also a member of the sea-grant and space-grant research. More information is described in detail at the clinical trial registration.
Mexican and Puerto Rican descent families enrolled in this study at least one parent and one child aged 6—18 years per family. There were no upper or lower weight restrictions for children to participate in the community program.
This study adhered to the CONSORT statement reporting guidelines and was registered with www. gov NCT Before baseline data collection, bilingual research assistants asked parents to read and sign the informed consent and target children were asked to sign an assent form, respectively, confirming that they understood the terms of participation.
Families were informed that their participation in the study was voluntary, and they were permitted to withdraw at any point without explanation. Due to the US political climate at the time of the study initiation, , we secured a "certificate of confidentiality" and removed participant names from the data.
A sample size of families intervention and control was pre-planned to provide adequate power to detect the intervention effects based on the original project A staggered initiation of sites was designed to implement regional adaptations of the project. Thus, the first site was Illinois, and the second and third were California and Iowa.
Finally, for the fourth and fifth sites, we encountered multiple natural disaster challenges, including weathering a major earthquake and three hurricanes Harvey, Maria, and Irma , delaying data collection in Texas and Puerto Rico.
Moreover, the COVID pandemic presented unprecedented and unpredictable challenges in recruiting, implementing, and evaluating a face-to-face intervention.
In the end, two sites had to adapt workshops and recruitment to a virtual delivery Texas and Puerto Rico. Mostly mothers completed survey data and anthropometric assessments at pre-program at baseline T0 , after the 6-week intervention T1, post-program , and six-months post-intervention T2.
Demographic data collected at T0 from mothers included birth country, child's date of birth, and child's sex.
Trained research assistants measured children's body height and weight at least twice using Seca Seca North America, Chino, CA stadiometers and scales. Body height was measured in a standing position with both feet touching the base of the board and the head in the Frankfort Plane.
Body weight was measured in light clothing. The average of the two measurements was recorded. If the difference between the two measurements was greater than 0. As described elsewhere, the Abriendo Caminos program is educational, with 6 weekly 2-hour workshops Abriendo Caminos is a community-based delivery program with cultural-tailoring.
Briefly, the applied behavior theory for community nutrition with the tenets of Social Cognitive Theory behavioral capacity, self-efficacy, and social support is integral to the curriculum to facilitate behavioral change. At the end of each session, parents completed an evaluation of the workshop and received a gift card for their attendance.
Control families completed the demographic questionnaires and had their anthropometric measurements taken at T0, T1, and T2. Control group families did not participate in the workshops, but they received educational materials at the end of the 6-month period.
Descriptive statistics means, standard deviations, median and interquartile range, and percentages were used to compare characteristics of children in the intervention vs. the control groups. Group differences across intervention arms were examined using chi-square tests for categorical covariates and t -tests or Wilcoxon rank-sum tests for continuous variables.
Figure 1. BMI z-scores changes during the study. At baseline, those in the control group had slightly higher BMI z-scores than those in the intervention group, but the difference was not statistically significant.
After the first follow-up T1 , the intervention group experienced a reduction in BMI z-scores, relative to the baseline, but not the control group. At the end of the second follow-up, the intervention group maintained their improved scores compared to the first wave assessment.
Still, the control group continued to observe increases in the scores. However, differences between the intervention and control group were not statistically significant at 6 months.
The primary outcome for this report was the change in BMI z-scores. We used a repeated mixed-effects linear regression 29 , 30 to analyze longitudinally changes in BMI z-scores at 6-weeks post-intervention T1 , and 6-month post-intervention T2 compared to the baseline values.
Repeated mixed-effects regressions are appropriate for handling correlated data and an unequal number of observations across individuals, which is an advantage over generalized linear models.
Measures of BMI z-scores were treated as continuous. The full model included: age, sex, intervention group, time of measurement T1, T2 , interaction of group and time of measurement, and intervention site.
Random effects for the intercept were included to allow individuals to vary in the initial level of BMI z-score at baseline T0. Additionally, analyses were disaggregated by sex and age group 6—11, and 12 or older.
Finally, since most mothers were from Mexico, we restricted the analyses to those participants. We presented the regression coefficients, confidence intervals, and p -values.
Finally, we conducted sensitivity tests. First, we examined whether dropping out of the sample affected the results. To do so, a dichotomous variable was added to indicate those with complete data on all waves vs.
those with missing data on at least one follow-up. Then, we included a dummy variable for incomplete vs. complete data in the mixed-effects. Lastly, we restricted data to those with complete data in all waves.
A total of participants had complete data at the baseline, with randomly assigned to the Abriendo Caminos intervention group and to the control group.
Groups were similar in the baseline with no significant group differences in demographic or anthropometric variables.
Table 1 provides participant characteristics at baseline with stratification by intervention arm. Over half of the participating children were affected by obesity or overweight Mothers were, on average, The majority of mothers were born in Mexico There were no statistical differences in children or mothers' demographic characteristics between the intervention and control groups at baseline.
Table 1. Descriptive statistics at the baseline of Abriendo Caminos participants. Table 2 shows the mean of the BMI z-scores over the study period. Mean BMI z-scores were 1. Mean BMI z-scores for the control group were 1. For the intervention group, at baseline mean BMI z-score was 1.
Based on a simple T- test, there were no statistical differences between the control and intervention groups at each assessment time point Figure 1. Table 2. However, at six-months after the program, changes in BMI z-scores for both the intervention and control groups were not statistically significantly different from baseline Table 4.
Table 3. Estimated parameters from repeated mixed-effects regressions on continuous BMI z-scores outcome measures. Table 4. Changes in BMI z-scores at post-program T1 and after 6-months T2 from baseline. In further analyses, we disaggregated the sample by age young and teens and sex.
Results indicate that, for boys, there were no statistical differences between the control and intervention groups.
In analyses disaggregated by age, results indicated that the intervention benefited the younger children, but not older children. In additional analyses where we restricted the sample to those whose mothers were born in Mexico; the conclusions remain. Supplementary Table S1c. Given the proportion of missing data at the follow-up, we explored the data non-response pattern.
Results from mixed-effects regressions, which included a dummy variable for incomplete vs. complete data, indicated that those who dropped out of the study did not differ in their baseline BMI z-scores. The remaining statistical inferences were unchanged.
We further examined the data by analyzing only those with complete data, and the results remained unchanged. Despite decades of evidence-based recommendations and interventions, systematic reviews, consensus statements, with stakeholder and community members' advocacy, the effectiveness of childhood obesity prevention programs continues to be a 1 , 12 , 16 , 20 , 21 , 24 , 25 , 31 — The problem of obesity is particularly salient among Hispanic children and adolescents, accentuated by the burden of structural and social determinants of health, which limit access to opportunities and services that promote long-term engagement in health promotion behaviors 12 , 35 — Two recent systematic reviews on family-centered interventions for the treatment and prevention of childhood obesity found only a few articles with full methods and outcomes reporting effectiveness by using culturally related tools designed for US Hispanics e.
Few family-based or community interventions have an RCT design, and the reported outcomes of interventions are inconsistent, ranging from a slight decrease, no change, or a larger drop in BMI particularly among those with higher BMI values at baseline 16 , Achieving BMI reduction in children and adolescents may be challenging due to their rapid physical growth in height and adiposity, particularly during early adolescence 14 , However, even smaller reductions of BMI-SDS have been associated with improved cardiometabolic health and body composition 11 , While participation in Abriendo Caminos was not associated with a large BMI reduction, participation was effective at reducing BMI z-scores at T1 by 0.
Maintaining a healthy weight contributes to good health now and as you age. Check out the latest state initiatives related to nutrition, physical activity, and healthy weight. Spanish language resources for healthy weight, nutrition, and physical activity.
We encourage the use of person-first language and respectful images when discussing obesity and other chronic diseases. The Obesity Action Coalition has more information — please see the Guidelines for Media Portrayals of Individuals Affected by Obesity [PDF Skip directly to site content Skip directly to search.
Español Other Languages. Minus Related Pages. Addressing Childhood Obesity: CORD 3. High BMI can Increase Risk for Flu Complications. Key themes emerging from this research prioritization exercise were the importance of funding and resources, coproduction of research, and a focus on both implementation research and social determinants within the field of childhood obesity prevention.
The coproduced research priorities may help to shape the research agendas of funders and researchers, and aid in the conduct of policy-relevant research and the translation of research into practice in childhood obesity prevention.
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Advanced Search. Search Menu. Article Navigation. Close mobile search navigation Article Navigation. Volume 9. Journal Article. Childhood obesity prevention: priority areas for future research and barriers and facilitators to knowledge translation, coproduced using the nominal group technique Get access.
Marita Hennessy , Marita Hennessy. Health Behaviour Change Research Group, School of Psychology, National University of Ireland Galway, Galway, Ireland.
Background: Hispanic individuals Sports nutrition coaching at increased risk for obesity and other chronic Obesity prevention research conditions. This article evaluates the preventipn of a family-based, childhood obesity primary prevention intervention in resaerch community setting. Eesearch A multi-site, Researcch controlled trial community program with assessments at pre T0post-program T1and 6-months post-program T2. Participating families were recruited from five sites. Only families of Mexican or Puerto Rican heritage with a least one child between 6 and 18 years were included in the study, without weight restrictions. Families were randomized to the intervention and control arms. Control families received printed generic nutrition and wellness information.Obesity prevention research -
Department of Agriculture — Weight and Obesity European Commission — Nutrition and Physical Activity World Health Organization WHO — Global Strategy on Diet, Physical Activity and Health Programs and Campaigns Harvard T. Obesity Epidemiology.
Oxford University Press, Gillman, MW. Obesity Prevention Source Menu. Search for:. Home Obesity Definition Why Use BMI? Waist Size Matters Measuring Obesity Obesity Trends Child Obesity Adult Obesity Obesity Consequences Health Risks Economic Costs Obesity Causes Genes Are Not Destiny Prenatal and Early Life Influences Food and Diet Physical Activity Sleep Toxic Food Environment Environmental Barriers to Activity Globalization Obesity Prevention Strategies Families Early Child Care Schools Health Care Worksites Healthy Food Environment Healthy Activity Environment Healthy Weight Checklist Resources and Links About Us Contact Us.
The systematic search strategy is structured according to the SPIDER sample, phenomenon of interest, design, evaluation, research type tool [ 51 ]; see Supplementary File 2.
Search terms are combined using Boolean operators. A sample search strategy for MEDLINE Ovid is provided in Supplementary File 2. A combination of databases is used to reliably retrieve available evidence [ 52 ]: EBSCO, Ovid, ProQuest, Scopus, Web of Science, EMBASE, and Cochrane Library see Supplementary File 2.
Databases will be systematically searched from inception onwards. The reference lists of all included papers will be searched to identify additional studies for inclusion backward search , and Google Scholar will be used to screen papers citing included studies forward search for potential inclusion.
Previously published systematic reviews [ 41 , 42 , 53 ] will also be hand searched for potentially eligible studies and check search sensitivity.
A search log will be maintained to record the databases, keywords used, and results of each systematic database search. All records retrieved from the systematic search will be downloaded to EndNote Version X8, duplicates will be removed, and the remaining studies will be assessed for eligibility by two independent reviewers.
The results will be categorised by title and abstract into the following: i papers appearing to meet study selection criteria, ii papers that should be retrieved for full-text examination, and iii excluded papers. The full text of potentially relevant papers will then be obtained and assessed for inclusion by two independent reviewers.
At all stages, any discrepancies will be discussed and resolved via consensus with a third independent reviewer. A PRISMA flow chart [ 54 , 55 ] will be produced to articulate the study selection process. A PRISMA-informed data extraction Excel spreadsheet will be used for abstracting study characteristics.
Data will include study details author, year of publication, and country , research type qualitative, quantitative, or mixed methods , sample sample size, characteristics, setting, retention, and blinding , data collection methods including PD application , evaluation details including PD measures and outcomes , and key findings and conclusions.
Summary tables will be independently reviewed for accuracy and relevance in line with the MATE taxonomy of PD application [ 56 ]. The quality of included studies will be assessed using the Mixed-Methods Appraisal Tool MMAT [ 57 , 58 ]. Although a variety of critical appraisal tools exist including for randomised controlled trials, non-randomised studies, and qualitative research, MMAT allows for the concurrent evaluation of methodological quality across mixed-methods research designs including mixed, qualitative, and quantitative research designs.
MMAT was developed to address the challenges of critical appraisal in mixed methods systematic reviews and has been shown to be a comprehensive, useful, and reliable appraisal tool [ 59 ].
For each included study, the methodological quality can be described using the corresponding MMAT criteria, and where appropriate, an overall quality score can be calculated. Two independent reviewers will assess the quality of included studies using MMAT, with a third independent reviewer to be used in case of any discrepancies.
Data will be inductively analysed by two independent reviewers using an iterative narrative evidence synthesis approach permitting a more nuanced and fine-grained examination of included studies. The second round of inductive analysis will focus on the extent of PD application. Extent of PD application will be integrated and synthesised in terms of who was involved, when they were involved, and how and why they were involved.
A similar approach has been used previously [ 60 ]. Applying both frameworks in the evidence synthesis is intended to provide a more complete picture of PD application.
Despite substantial investments in health and medical research, insufficient progress has been made toward halting rising rates of overweight and obesity. Combatting the growing burden of overweight and obesity will require innovative methodologies that lead to the wide-scale engagement of people who are most at risk of excess weight gain.
PD approaches, such as co-design, have the potential to deliver bottom-up solutions that people value and will voluntarily engage with over time.
While many approaches fall under the umbrella term of PD, all are underpinned by a core philosophy of inclusivity, recognising the value of engaging intended beneficiaries, users, and stakeholders in the process to arrive at a solution i.
an intervention [ 33 ]. PD application has the potential to enhance intervention effectiveness by creating greater congruence between evidence-based practice and user need fulfilment within interventions.
Consideration of user needs and preferences through PD is purported to optimise intervention outcomes, including user adoption, engagement, satisfaction, and retention [ 35 ]. Thus, the benefits of user involvement may extend beyond intervention effectiveness to include empowering people allowing individuals and groups to be actively involved , democratising intervention design imparting control over processes and outcomes to users , and promoting greater diversity and equality in intervention design [ 32 , 34 — 36 ].
This mixed-methods systematic scoping review will locate and synthesise available evidence on PD application in obesity prevention targeting adolescents and young adults. Moreover, an appraisal of study quality will be evaluated.
Review findings will be used to formulate PD guidance for future obesity prevention efforts targeting adolescents and young adults and provide recommendations based on best practice. World Health Organisation. Obesity and overweight: World Health Organisation; Di Cesare M, Bentham J, Danaei G, Lu Y, Bixby H, Riley LM, et al.
Trends in adult body-mass index in countries from to a pooled analysis of population-based measurement studies with Article Google Scholar.
Wang YC, McPherson K, Marsh T, Gortmaker SL, Brown M. Obesity 2 Health and economic burden of the projected obesity trends in the USA and the UK. Article PubMed Google Scholar. Flegal KM, Kit BK, Orpana H, Graubard BI. Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis.
Article CAS PubMed PubMed Central Google Scholar. Kansra AR, Lakkunarajah S, Jay MS. Childhood and adolescent obesity: a review.
Front Pediatr. Article PubMed PubMed Central Google Scholar. Dietz WH. Obesity and excessive weight gain in young adults: new targets for prevention.
Lightwood J, Bibbins-Domingo K, Coxson P, Wang YC, Williams L, Goldman L. Forecasting the future economic burden of current adolescent overweight: an estimate of the coronary heart disease policy model. Am J Public Health.
Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during — a systematic analysis for the Global Burden of Disease Study Roberto CA, Swinburn B, Hawkes C, Huang TTK, Costa SA, Ashe M, et al.
Patchy progress on obesity prevention: emerging examples, entrenched barriers, and new thinking. Kouris-Blazos A, Wahlqvist ML. Health economics of weight management: evidence and cost. Asia Pac J Clin Nutr.
PubMed Google Scholar. Jackson H, Shiell A. Preventive health: how much does Australia spend and is it enough? Canberra: Foundation for Alcohol Research and Education; Yates J, Murphy C. A cost benefit analysis of weight management strategies. Ananthapavan J, Sacks G, Brown V, Moodie M, Nguyen P, Veerman L, et al.
Priority-setting for obesity prevention—the assessing cost-effectiveness of obesity prevention policies in Australia ACE-Obesity Policy study. PLoS One. Zheng Y, Manson JE, Yuan C, Liang MH, Grodstein F, Stampfer MJ, et al.
Associations of weight gain from early to middle adulthood with major health outcomes later in life. Emerging Adulthood and College-aged Youth: An Overlooked Age for Weight-related Behavior Change. Obesity Silver Spring, Md.
Chen C, Ye Y, Zhang Y, Pan X F, Pan A. Weight change across adulthood in relation to all cause and cause specific mortality: prospective cohort study. Neumark-Sztainer D, Wall MM, Chen C, Larson NI, Christoph MJ, Sherwood NE.
Eating, activity, and weight-related problems from adolescence to adulthood. Am J Prev Med. Khan A, Lee E, Rosenbaum S, Khan SR, Tremblay MS. Dose-dependent and joint associations between screen time, physical activity, and mental wellbeing in adolescents: an international observational study.
Lancet Child Adoles Health. Nelson MC, Story M, Larson NI, Neumark-Sztainer D, Lytle LA. Emerging adulthood and college-aged youth: an overlooked age for weight-related behavior change.
Forouzanfar MH, Biryukov S, Brauer M, Casey D, Delwiche K, Frostad JJ, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in countries, — a systematic analysis for the Global Burden of Disease Study Lanoye A, Brown KL, LaRose JG.
The transition into young adulthood: a critical period for weight control. Curr Diab Rep. McGlashan J, Hayward J, Brown A, Owen B, Millar L, Johnstone M, et al.
Comparing complex perspectives on obesity drivers: action-driven communities and evidence-oriented experts. Obes Sci Pract. Peper JS, Dahl RE.
The teenage brain: surging hormones—brain-behavior interactions during puberty. Curr Dir Psychol Sci. Greaney ML, Less FD, White AA, Dayton SF, Riebe D, Blissmer B, et al. J Nutr Educ Behav. Lam E, Partridge SR, Allman-Farinelli M.
Strategies for successful recruitment of young adults to healthy lifestyle programmes for the prevention of weight gain: a systematic review. Obes Rev. Article CAS PubMed Google Scholar.
Cui Z, Seburg EM, Sherwood NE, Faith MS, Ward DS. Recruitment and retention in obesity prevention and treatment trials targeting minority or low-income children: a review of the clinical trials registration database. Partridge SR, Juan SJH, McGeechan K, Bauman A, Allman-Farinelli M.
Hayba N, Rissel C, Allman FM. Effectiveness of lifestyle interventions in preventing harmful weight gain among adolescents: a systematic review of systematic reviews.
Partridge SR, Redfern J. Strategies to engage adolescents in digital health interventions for obesity prevention and management. Article PubMed Central Google Scholar. Gokee-LaRose J, Gorin AA, Raynor HA, Laska MN, Jeffery RW, Levy RL, et al.
Are standard behavioral weight loss programs effective for young adults? Int J Obes. Article CAS Google Scholar. Halskov K, Hansen NB. The diversity of participatory design research practice at PDC — Int J Human-Comput Stud. Cargo M, Mercer SL. The value and challenges of participatory research: strengthening its practice.
Annu Rev Public Health. Skinner H. Action Research.
Skip to content. The Healthy Weight Preveention research arm Chronic hyperglycemia and exercise people Obesity prevention research to stimulate research Obesity prevention research obesity Improve concentration naturally and treatment across divisions, departments and institutions rresearch inform rseearch improve current obesity-related care and policies. Learn more about the Childhood Obesity Prevention Research. The Healthy Weight Care Assistant. Jeremy Michel helped to develop a recent quality improvement pilot project using clinical decision support CDS at one ambulatory care center. This CDS - The Healthy Weight Care Assistant - was developed to promote the weight status recognition and to support evidence-based recommendation adherence for obesity management. Modeling of Obesity-related Risk Factors Using CHOP Network Registry Data. Recovery for seniors Health Services Research Improve concentration naturally 19 reseqrch, Article number: Obesity prevention research this reserch. Obesity prevention research prveention. Control of obesity is an important priority to reduce the burden prevntion chronic disease. Obeaity guidelines focus on the role of primary healthcare in obesity prevention. The purpose of this scoping review is to examine what the published literature indicates about the role of hospital and community based health services in adult obesity prevention in order to map the evidence and identify gaps in existing research. Databases were searched for articles published in English between and and screened against inclusion and exclusion criteria. Further papers were highlighted through a manual search of the reference lists.
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