Seungmin Lee, Soyeon Ahn, Priya Patel, Nicholas D Myers
The purpose of this study was to calculate the effects of recent eHealth interventions to promote physical activity in young, middle-aged, and late middle-aged adults with obesity or overweight. This meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. In the search, 3550 articles were identified, and 15 studies met all inclusion criteria. The effects of recent eHealth interventions depended on the type of outcome variable: (a) intensity-based physical activity (e.g., moderate-to-vigorous-intensity physical activity, average minutes per day from intensity categories, steps per day) or (b) energy expenditure-based physical activity (e.g., metabolic equivalent of task, kilocalories per week). The overall effects of recent eHealth interventions on the physical activity outcomes in adults with obesity were positive and ranged from small to medium in size. Ethnicity and weight status moderated the effects of recent eHealth interventions on physical activity outcomes. Results from this meta-analysis provided some evidence for both the utility of, and possible improvements to, eHealth interventions to promote health-enhancing physical activity in at-risk populations.
{"title":"A meta-analysis of eHealth interventions to promote physical activity in young, middle-aged, and late middle-aged adults with obesity or overweight.","authors":"Seungmin Lee, Soyeon Ahn, Priya Patel, Nicholas D Myers","doi":"10.1111/obr.13898","DOIUrl":"https://doi.org/10.1111/obr.13898","url":null,"abstract":"<p><p>The purpose of this study was to calculate the effects of recent eHealth interventions to promote physical activity in young, middle-aged, and late middle-aged adults with obesity or overweight. This meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. In the search, 3550 articles were identified, and 15 studies met all inclusion criteria. The effects of recent eHealth interventions depended on the type of outcome variable: (a) intensity-based physical activity (e.g., moderate-to-vigorous-intensity physical activity, average minutes per day from intensity categories, steps per day) or (b) energy expenditure-based physical activity (e.g., metabolic equivalent of task, kilocalories per week). The overall effects of recent eHealth interventions on the physical activity outcomes in adults with obesity were positive and ranged from small to medium in size. Ethnicity and weight status moderated the effects of recent eHealth interventions on physical activity outcomes. Results from this meta-analysis provided some evidence for both the utility of, and possible improvements to, eHealth interventions to promote health-enhancing physical activity in at-risk populations.</p>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":" ","pages":"e13898"},"PeriodicalIF":8.0,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142963252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yeeli Mui, Megan R Winkler, Shanda L Hunt, Joel Gittelsohn, Melissa Tracy
As researchers increasingly utilize systems science simulation modeling (SSSM), little is known about how and by whom SSSMs are being leveraged to address inequities in access to healthy diets. We evaluated the extent to which studies (n = 66) employing SSSM to examine retail food environments (RFEs): included three pillars of equity (social position, human capital, socioeconomic and political context) that shape RFEs and access to healthy diets; grounded model design and development in theory; engaged with diverse stakeholders and lived experiences related to RFEs; and translated model findings towards addressing inequities in RFEs. Most studies (n = 58) included some model characteristics related to social position (e.g., age). Characteristics related to human capital (e.g., meal planning skills) were the least integrated fundamental pillar (n = 15). All studies included some characteristics related to socioeconomic and political context; however, we found little to no incorporation of social contexts (e.g., cultural and societal norms). Regarding model design and development, less than one-third of studies specified theoretical frameworks or engaged with local domain experts and stakeholders. While certain research objectives and, consequently, model types lend themselves better than others to address key pillars that influence RFEs, findings show that models are not fully leveraging SSSMs to analyze the multiple, interacting dimensions - particularly social phenomena - influencing equity in access to healthy diets. Greater attention to engaging stakeholders and the role of human capital and social contexts will likely better equip models to more holistically examine equitable food access, including essential pathways and unintended consequences of programs and policies.
{"title":"Simulated retail food environments: A literature review of systems science approaches to advance equity in access to healthy diets.","authors":"Yeeli Mui, Megan R Winkler, Shanda L Hunt, Joel Gittelsohn, Melissa Tracy","doi":"10.1111/obr.13887","DOIUrl":"https://doi.org/10.1111/obr.13887","url":null,"abstract":"<p><p>As researchers increasingly utilize systems science simulation modeling (SSSM), little is known about how and by whom SSSMs are being leveraged to address inequities in access to healthy diets. We evaluated the extent to which studies (n = 66) employing SSSM to examine retail food environments (RFEs): included three pillars of equity (social position, human capital, socioeconomic and political context) that shape RFEs and access to healthy diets; grounded model design and development in theory; engaged with diverse stakeholders and lived experiences related to RFEs; and translated model findings towards addressing inequities in RFEs. Most studies (n = 58) included some model characteristics related to social position (e.g., age). Characteristics related to human capital (e.g., meal planning skills) were the least integrated fundamental pillar (n = 15). All studies included some characteristics related to socioeconomic and political context; however, we found little to no incorporation of social contexts (e.g., cultural and societal norms). Regarding model design and development, less than one-third of studies specified theoretical frameworks or engaged with local domain experts and stakeholders. While certain research objectives and, consequently, model types lend themselves better than others to address key pillars that influence RFEs, findings show that models are not fully leveraging SSSMs to analyze the multiple, interacting dimensions - particularly social phenomena - influencing equity in access to healthy diets. Greater attention to engaging stakeholders and the role of human capital and social contexts will likely better equip models to more holistically examine equitable food access, including essential pathways and unintended consequences of programs and policies.</p>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":" ","pages":"e13887"},"PeriodicalIF":8.0,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142941912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mikołaj Domagalski, Joanna Olszańska, Katarzyna Pietraszek-Gremplewicz, Dorota Nowak
Colorectal cancer (CRC) is the third most common cancer worldwide and has one of the highest mortality rates. Considering its nonlinear etiology, many risk factors are associated with CRC formation and development, with obesity at the forefront. Obesity is regarded as one of the key environmental risk determinants for the pathogenesis of CRC. Excessive food intake and a sedentary lifestyle, together with genetic predispositions, lead to the overgrowth of adipose tissue along with a disruption in the number and function of its building cells. Adipose tissue-resident cells may constitute part of the CRC microenvironment. Alterations in their physiology and secretory profiles observed in obesity may further contribute to CRC progression, and despite similar localization, their contributions are not equivalent. They can interact with CRC cells, either directly or indirectly, influencing various processes that contribute to tumorigenesis. The main aim of this review is to provide insights into the diversity of adipose tissue resident cells, namely, adipocytes, adipose stromal cells, and immunological cells, regarding the role of particular cell types in co-forming the CRC microenvironment. The scope of this study was also devoted to the abnormalities in adipose tissue physiology observed in obesity states and their impact on CRC development.
{"title":"The role of adipogenic niche resident cells in colorectal cancer progression in relation to obesity","authors":"Mikołaj Domagalski, Joanna Olszańska, Katarzyna Pietraszek-Gremplewicz, Dorota Nowak","doi":"10.1111/obr.13873","DOIUrl":"https://doi.org/10.1111/obr.13873","url":null,"abstract":"<p>Colorectal cancer (CRC) is the third most common cancer worldwide and has one of the highest mortality rates. Considering its nonlinear etiology, many risk factors are associated with CRC formation and development, with obesity at the forefront. Obesity is regarded as one of the key environmental risk determinants for the pathogenesis of CRC. Excessive food intake and a sedentary lifestyle, together with genetic predispositions, lead to the overgrowth of adipose tissue along with a disruption in the number and function of its building cells. Adipose tissue-resident cells may constitute part of the CRC microenvironment. Alterations in their physiology and secretory profiles observed in obesity may further contribute to CRC progression, and despite similar localization, their contributions are not equivalent. They can interact with CRC cells, either directly or indirectly, influencing various processes that contribute to tumorigenesis. The main aim of this review is to provide insights into the diversity of adipose tissue resident cells, namely, adipocytes, adipose stromal cells, and immunological cells, regarding the role of particular cell types in co-forming the CRC microenvironment. The scope of this study was also devoted to the abnormalities in adipose tissue physiology observed in obesity states and their impact on CRC development.</p>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":"26 4","pages":""},"PeriodicalIF":8.0,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/obr.13873","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143564885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kimberley Ann Bennett, Calum Sutherland, Anne Louise Savage
Calorie-restricted diets cause weight loss and can drive type 2 diabetes remission. However, many patients struggle to achieve clinically relevant weight loss, and the reasons are not well understood. Chemical exposure is associated with obesity and type 2 diabetes development, and some evidence from preclinical experiments suggests it can limit the clinical benefits of calorie restriction. We systematically reviewed the evidence for the effects of environmental chemical exposure on mass loss and glycemic control during diet-induced weight management in humans (PROSPERO: CRD42022339993). Of 222 unique citations, only six papers directly examined this question. Only one targeted people with type 2 diabetes. One linked phthalates and parabens, but not bisphenols, with slower fat loss. Two showed per- and polyfluoroalkyl substances were not associated with mass loss, but with faster subsequent mass regain. One linked impaired adiposity improvements with air pollutants. Two papers reported weight loss-induced elevation in plasma organochlorines associated with altered glycemic control. The risk of bias largely arose from the potential for deviation from the intended diet, and statistics and reporting. The role of chemical exposure in impeding the effectiveness of weight management programs needs to be better understood to provide suitable support to people living with obesity and type 2 diabetes.
{"title":"A systematic review of evidence that environmental contaminant exposure impedes weight loss and glycemic control during calorie-restricted diets in humans.","authors":"Kimberley Ann Bennett, Calum Sutherland, Anne Louise Savage","doi":"10.1111/obr.13886","DOIUrl":"https://doi.org/10.1111/obr.13886","url":null,"abstract":"<p><p>Calorie-restricted diets cause weight loss and can drive type 2 diabetes remission. However, many patients struggle to achieve clinically relevant weight loss, and the reasons are not well understood. Chemical exposure is associated with obesity and type 2 diabetes development, and some evidence from preclinical experiments suggests it can limit the clinical benefits of calorie restriction. We systematically reviewed the evidence for the effects of environmental chemical exposure on mass loss and glycemic control during diet-induced weight management in humans (PROSPERO: CRD42022339993). Of 222 unique citations, only six papers directly examined this question. Only one targeted people with type 2 diabetes. One linked phthalates and parabens, but not bisphenols, with slower fat loss. Two showed per- and polyfluoroalkyl substances were not associated with mass loss, but with faster subsequent mass regain. One linked impaired adiposity improvements with air pollutants. Two papers reported weight loss-induced elevation in plasma organochlorines associated with altered glycemic control. The risk of bias largely arose from the potential for deviation from the intended diet, and statistics and reporting. The role of chemical exposure in impeding the effectiveness of weight management programs needs to be better understood to provide suitable support to people living with obesity and type 2 diabetes.</p>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":" ","pages":"e13886"},"PeriodicalIF":8.0,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142880608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haitham Jahrami, Waqar Husain, Khaled Trabelsi, Achraf Ammar, Seithikurippu R. Pandi-Perumal, Zahra Saif, Marc N. Potenza, Chung-Ying Lin, Amir H. Pakpour
Food addiction (FA) is linked to eating disorders and obesity. The Yale Food Addiction Scale (YFAS), which has various versions in different languages, is widely used to assess FA worldwide. This meta-analysis aimed to assess the YFAS through reliability generalization meta-analysis (REGEMA). From their inception until April 2024, a comprehensive systematic review across more than 30 databases was conducted to identify studies reporting reliability measures (e.g., Cronbach's alpha and McDonald's omega) of the YFAS. Sixty-five studies were included in this meta-analysis, with a median sample size of 451 participants. The results of the random-effects meta-analysis showed a high pooled reliability coefficient (α = 0.85, 95% CI: 0.83 to 0.86 p < 0.001). Test–retest reliability was also estimated using a random-effects meta-analysis of 10 studies, resulting in a pooled test–retest correlation coefficient of intraclass coefficients of (ICC = 0.77, 95% CI: 0.70 to 0.84, p < 0.001). These findings highlight the consistency and robustness of the YFAS in detecting FA across studies, suggesting its reliability for screening for FA-related disordered eating.
{"title":"A meta-analysis assessing reliability of the Yale Food Addiction Scale: Implications for compulsive eating and obesity","authors":"Haitham Jahrami, Waqar Husain, Khaled Trabelsi, Achraf Ammar, Seithikurippu R. Pandi-Perumal, Zahra Saif, Marc N. Potenza, Chung-Ying Lin, Amir H. Pakpour","doi":"10.1111/obr.13881","DOIUrl":"10.1111/obr.13881","url":null,"abstract":"<p>Food addiction (FA) is linked to eating disorders and obesity. The Yale Food Addiction Scale (YFAS), which has various versions in different languages, is widely used to assess FA worldwide. This meta-analysis aimed to assess the YFAS through reliability generalization meta-analysis (REGEMA). From their inception until April 2024, a comprehensive systematic review across more than 30 databases was conducted to identify studies reporting reliability measures (e.g., Cronbach's alpha and McDonald's omega) of the YFAS. Sixty-five studies were included in this meta-analysis, with a median sample size of 451 participants. The results of the random-effects meta-analysis showed a high pooled reliability coefficient (<i>α</i> = 0.85, 95% CI: 0.83 to 0.86 <i>p</i> < 0.001). Test–retest reliability was also estimated using a random-effects meta-analysis of 10 studies, resulting in a pooled test–retest correlation coefficient of intraclass coefficients of (<i>ICC</i> = 0.77, 95% CI: 0.70 to 0.84, <i>p</i> < 0.001). These findings highlight the consistency and robustness of the YFAS in detecting FA across studies, suggesting its reliability for screening for FA-related disordered eating.</p>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":"26 4","pages":""},"PeriodicalIF":8.0,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/obr.13881","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142880606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sheida Zeraattalab-Motlagh, Evelyn Syau, Hafza Dadabhoy, Allie L Hardin, Salma M A Musaad, Rebekah Julie Park, Tom Baranowski, Debbe Thompson, Jennette P Moreno
Introduction: Obesity during childhood is a critical public health issue. The summer break from school is a time when children are prone to accelerated weight gain. We aimed to investigate how obesity prevention or treatment programs implemented over the summer affect anthropometric measures or weight-related behaviors.
Methods: Published studies examining the impact of obesity prevention/treatment interventions targeting the summer with anthropometric or weight-related behaviors in children (5-18 years old) were identified using systematic searches of Medline, Cochrane, Scopus, CINAHL, PsycINFO, and EMBASE until April 2024. The summarized effect estimate was computed by applying the random-effects approach. The evidence certainty was assessed using GRADE.
Results: Forty-seven studies were identified for inclusion. The majority of studies identified focused on physical activity and dietary habits. Only six studies that examined the effects of prevention interventions on weight, body mass index (BMI), and waist circumference (WC) were meta-analyzed. There was no evidence that prevention interventions impacted children's weight, BMI, and WC. However, most of the studies included in the systematic review indicated beneficial effects of interventions for anthropometric measures.
Conclusion: There was no evidence that summertime obesity interventions targeting physical activity and dietary intake were effective in the prevention of obesity in children.
{"title":"Impact of child summertime obesity interventions on body mass index and weight-related behaviors: A systematic review and meta-analysis.","authors":"Sheida Zeraattalab-Motlagh, Evelyn Syau, Hafza Dadabhoy, Allie L Hardin, Salma M A Musaad, Rebekah Julie Park, Tom Baranowski, Debbe Thompson, Jennette P Moreno","doi":"10.1111/obr.13883","DOIUrl":"https://doi.org/10.1111/obr.13883","url":null,"abstract":"<p><strong>Introduction: </strong>Obesity during childhood is a critical public health issue. The summer break from school is a time when children are prone to accelerated weight gain. We aimed to investigate how obesity prevention or treatment programs implemented over the summer affect anthropometric measures or weight-related behaviors.</p><p><strong>Methods: </strong>Published studies examining the impact of obesity prevention/treatment interventions targeting the summer with anthropometric or weight-related behaviors in children (5-18 years old) were identified using systematic searches of Medline, Cochrane, Scopus, CINAHL, PsycINFO, and EMBASE until April 2024. The summarized effect estimate was computed by applying the random-effects approach. The evidence certainty was assessed using GRADE.</p><p><strong>Results: </strong>Forty-seven studies were identified for inclusion. The majority of studies identified focused on physical activity and dietary habits. Only six studies that examined the effects of prevention interventions on weight, body mass index (BMI), and waist circumference (WC) were meta-analyzed. There was no evidence that prevention interventions impacted children's weight, BMI, and WC. However, most of the studies included in the systematic review indicated beneficial effects of interventions for anthropometric measures.</p><p><strong>Conclusion: </strong>There was no evidence that summertime obesity interventions targeting physical activity and dietary intake were effective in the prevention of obesity in children.</p>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":" ","pages":"e13883"},"PeriodicalIF":8.0,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}