Pub Date : 2024-02-21DOI: 10.1177/15598276241230237
John H. Kelly, Liana Lianov, Dexter Shurney, Sley Tanigawa Guimarães, Mechelle Palma, Caldwell Esselstyn, Scott Stoll, Padmaja Patel, Brenda Rea, Koushik Reddy, George Guthrie, Michelle Reiss, Micaela C. Karlsen
ObjectiveThe objective of this expert consensus process was to define performance measures that can be used to document remission or long-term progress following lifestyle medicine (LM) treatment.MethodsExpert panel members with experience in intensive, therapeutic lifestyle change (ITLC) developed a list of performance measures for key disease states, using an established process for developing consensus statements adapted for the topic. Proposed performance measures were assessed for consensus using a modified Delphi process.ResultsAfter a series of meetings and an iterative Delphi process of voting and revision, a final set of 32 performance measures achieved consensus. These were grouped in 10 domains of diseases, conditions, or risk factors, including (1) Cardiac function, (2) Cardiac risk factors, (3) Cardiac medications and procedures, (4) Patient-centered cardiac health, (5) Hypertension, (6) Type 2 diabetes and prediabetes, (7) Metabolic syndrome, (8) Inflammatory conditions, (9) Inflammatory condition patient-centered measures, and (10) Chronic kidney disease.ConclusionThese measures compose a set of performance standards that can be used to evaluate the effectiveness of LM treatment for these conditions.
{"title":"Lifestyle Medicine Performance Measures: An Expert Consensus Statement Defining Metrics to Identify Remission or Long-Term Progress Following Lifestyle Medicine Treatment","authors":"John H. Kelly, Liana Lianov, Dexter Shurney, Sley Tanigawa Guimarães, Mechelle Palma, Caldwell Esselstyn, Scott Stoll, Padmaja Patel, Brenda Rea, Koushik Reddy, George Guthrie, Michelle Reiss, Micaela C. Karlsen","doi":"10.1177/15598276241230237","DOIUrl":"https://doi.org/10.1177/15598276241230237","url":null,"abstract":"ObjectiveThe objective of this expert consensus process was to define performance measures that can be used to document remission or long-term progress following lifestyle medicine (LM) treatment.MethodsExpert panel members with experience in intensive, therapeutic lifestyle change (ITLC) developed a list of performance measures for key disease states, using an established process for developing consensus statements adapted for the topic. Proposed performance measures were assessed for consensus using a modified Delphi process.ResultsAfter a series of meetings and an iterative Delphi process of voting and revision, a final set of 32 performance measures achieved consensus. These were grouped in 10 domains of diseases, conditions, or risk factors, including (1) Cardiac function, (2) Cardiac risk factors, (3) Cardiac medications and procedures, (4) Patient-centered cardiac health, (5) Hypertension, (6) Type 2 diabetes and prediabetes, (7) Metabolic syndrome, (8) Inflammatory conditions, (9) Inflammatory condition patient-centered measures, and (10) Chronic kidney disease.ConclusionThese measures compose a set of performance standards that can be used to evaluate the effectiveness of LM treatment for these conditions.","PeriodicalId":47480,"journal":{"name":"American Journal of Lifestyle Medicine","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139952015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.1177/15598276241230467
Ryan A. Mace, Matthew J. Stauder, Sarah W. Hopkins, Joshua E. Cohen, Malvina O. Pietrzykowski, Lisa L. Philpotts, Christina M. Luberto, Ana-Maria Vranceanu
A systematic review and meta-analysis investigated randomized clinical trials (RCTs) of mindfulness-based interventions (MBIs) targeting lifestyle behaviors commonly associated with brain health in adults. Data sources included Ovid Medline, Ovid PsycINFO, CINAHL [EBSCO], Embase, Cochrane Library [Ovid], Web of Science, and https://ClinicalTrials.gov . Studies were screened using Covidence 2.0. A total of 79 published RCTs of MBIs for adults (18+, patient and non-patient populations) targeting one or more lifestyle behavior (physical activity, sleep, diet, alcohol use, tobacco cessation, and social and mental activities) met eligibility criteria. MBIs were associated with reduced sleep disturbance (40/54 RCTs; 3537 participants; SMD = −.53; 95% CI = −.74 to −.32; I 2 = 78%), increased physical activity (9/17 RCTs analyzed; 685 participants; SMD = .72; 95% CI = .04 to 1.40; I 2 = 89%), improved tobacco cessation (8/12 RCTs; 1234 participants; OR = 2.11; 95% CI = 1.12 to 3.97; I 2 = 55%), and lowered alcohol use (4/6 RCTs; 261 participants; SMD = −.39; 95% CI = −.45 to −.32; I 2 = 0%). This review found moderate to high-quality evidence for MBIs targeting sleep, physical activity, alcohol use, and tobacco cessation. Heterogeneity for these outcomes and insufficient data to analyze diet, mental activities, and cognitive functioning limit our ability to draw definitive conclusions about the effects of MBIs on brain health.
一项系统综述和荟萃分析调查了针对与成人大脑健康普遍相关的生活方式行为的正念干预（MBI）的随机临床试验（RCT）。数据来源包括 Ovid Medline、Ovid PsycINFO、CINAHL [EBSCO]、Embase、Cochrane Library [Ovid]、Web of Science 和 https://ClinicalTrials.gov。使用 Covidence 2.0 对研究进行筛选。共有 79 项已发表的针对成人（18 岁以上，患者和非患者人群）的 MBI 研究符合资格标准，这些研究针对一种或多种生活方式行为（体育锻炼、睡眠、饮食、饮酒、戒烟以及社交和心理活动）。MBIs 与减少睡眠障碍（40/54 项 RCTs；3537 名参与者；SMD = -.53；95% CI = -.74 至 -.32；I 2 = 78%）、增加体力活动（9/17 项 RCTs 分析；685 名参与者；SMD = .72；95% CI = .04 至 1.40；I 2 = 89%），提高戒烟率（8/12 项 RCTs；1234 名参与者；OR = 2.11；95% CI = 1.12 至 3.97；I 2 = 55%），降低饮酒率（4/6 项 RCTs；261 名参与者；SMD = -.39; 95% CI = -.45 至 -.32; I 2 = 0%）。本综述发现了针对睡眠、体育锻炼、饮酒和戒烟的 MBI 的中高质量证据。这些结果的异质性以及饮食、心理活动和认知功能分析数据的不足，限制了我们就MBI对大脑健康的影响得出明确结论的能力。
{"title":"Mindfulness-Based Interventions Targeting Modifiable Lifestyle Behaviors Associated With Brain Health: A Systematic Review and Meta-Analysis","authors":"Ryan A. Mace, Matthew J. Stauder, Sarah W. Hopkins, Joshua E. Cohen, Malvina O. Pietrzykowski, Lisa L. Philpotts, Christina M. Luberto, Ana-Maria Vranceanu","doi":"10.1177/15598276241230467","DOIUrl":"https://doi.org/10.1177/15598276241230467","url":null,"abstract":"A systematic review and meta-analysis investigated randomized clinical trials (RCTs) of mindfulness-based interventions (MBIs) targeting lifestyle behaviors commonly associated with brain health in adults. Data sources included Ovid Medline, Ovid PsycINFO, CINAHL [EBSCO], Embase, Cochrane Library [Ovid], Web of Science, and https://ClinicalTrials.gov . Studies were screened using Covidence 2.0. A total of 79 published RCTs of MBIs for adults (18+, patient and non-patient populations) targeting one or more lifestyle behavior (physical activity, sleep, diet, alcohol use, tobacco cessation, and social and mental activities) met eligibility criteria. MBIs were associated with reduced sleep disturbance (40/54 RCTs; 3537 participants; SMD = −.53; 95% CI = −.74 to −.32; I<jats:sup> 2</jats:sup> = 78%), increased physical activity (9/17 RCTs analyzed; 685 participants; SMD = .72; 95% CI = .04 to 1.40; I<jats:sup> 2</jats:sup> = 89%), improved tobacco cessation (8/12 RCTs; 1234 participants; OR = 2.11; 95% CI = 1.12 to 3.97; I<jats:sup> 2</jats:sup> = 55%), and lowered alcohol use (4/6 RCTs; 261 participants; SMD = −.39; 95% CI = −.45 to −.32; I<jats:sup> 2</jats:sup> = 0%). This review found moderate to high-quality evidence for MBIs targeting sleep, physical activity, alcohol use, and tobacco cessation. Heterogeneity for these outcomes and insufficient data to analyze diet, mental activities, and cognitive functioning limit our ability to draw definitive conclusions about the effects of MBIs on brain health.","PeriodicalId":47480,"journal":{"name":"American Journal of Lifestyle Medicine","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139956144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-29DOI: 10.1177/15598276241230043
Michelle Kober, Yu-Ping Chang
Background: There is little research providing critical understanding of how healthcare professionals perceive and manage work-related stress. This study aims to understand healthcare workers’ perspectives regarding work-related stress and burnout, strategies and barriers for self-care, and organizational support for self-care and resiliency. Methods: A qualitative descriptive approach was used. Individual, semi-structured interviews were conducted with healthcare workers from 5 organizations in New York State. Data was analyzed using Braun and Clarke’s Thematic Analysis. Results: Interviews were conducted with 27 healthcare workers from various disciplines. Findings indicated that healthcare workers experienced high levels of stress and burnout, which negatively impacts their mental health, quality of work, relationships with coworkers, and patient care. Many participants expressed an interest in self-care activities, and there were apparent differences among respondents regarding perceived organizational support. Five themes were identified, including: staff shortages, coworker conflict and interactions, strategies to mitigate stress, impacts of work-related stress, and managing stress and burnout in the workplace. Conclusion: Workplace stress affects patient care, but workers feel that there is limited support from leadership. It is critical that healthcare organizations and governments prioritize providing support along with other resources to healthcare workers to address burnout and assist with mental health concerns.
{"title":"Healthcare Workers’ Perceptions of Work-Related Stress and Burnout: Strategies and Barriers for Self-Care","authors":"Michelle Kober, Yu-Ping Chang","doi":"10.1177/15598276241230043","DOIUrl":"https://doi.org/10.1177/15598276241230043","url":null,"abstract":"Background: There is little research providing critical understanding of how healthcare professionals perceive and manage work-related stress. This study aims to understand healthcare workers’ perspectives regarding work-related stress and burnout, strategies and barriers for self-care, and organizational support for self-care and resiliency. Methods: A qualitative descriptive approach was used. Individual, semi-structured interviews were conducted with healthcare workers from 5 organizations in New York State. Data was analyzed using Braun and Clarke’s Thematic Analysis. Results: Interviews were conducted with 27 healthcare workers from various disciplines. Findings indicated that healthcare workers experienced high levels of stress and burnout, which negatively impacts their mental health, quality of work, relationships with coworkers, and patient care. Many participants expressed an interest in self-care activities, and there were apparent differences among respondents regarding perceived organizational support. Five themes were identified, including: staff shortages, coworker conflict and interactions, strategies to mitigate stress, impacts of work-related stress, and managing stress and burnout in the workplace. Conclusion: Workplace stress affects patient care, but workers feel that there is limited support from leadership. It is critical that healthcare organizations and governments prioritize providing support along with other resources to healthcare workers to address burnout and assist with mental health concerns.","PeriodicalId":47480,"journal":{"name":"American Journal of Lifestyle Medicine","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139952014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-19DOI: 10.1177/15598276241226930
Raeann Leal, Rhonda Spencer-Hwang, W. L. Beeson, Michael Paalani, H. Dos Santos
This study examined the potential relationship between sleep, exercise, and depression with coronary heart disease (CHD) using the 2020 Behavioral Risk Factor Surveillance System (BRFSS) (n = 391 750) during the COVID-19 pandemic. CHD was defined as the presence of self-reported CHD or myocardial infarction (MI). Descriptive statistics were used to report variable frequencies and percentages. Logistic regression models were used to assess potential relationships between lifestyle behaviors (individually and for effect modification) and CHD, with additional sensitivity analysis comparing depressed subjects with non-depressed subjects. Sleep and exercise were assessed in the model for potential effect modification. Those with insufficient sleep and those who did not exercise were more likely to report CHD ( sleep OR = 1.09; 95% CI: 1.06, 1.12); ( exercise OR = 2.00; 95% CI: 1.95, 2.05), though the interaction term was non-significant. Those with self-reported depression were found to be associated with CHD (OR = 1.34; 95% CI: 1.30, 1.38). Among depressed individuals, insufficient sleep and no exercise exhibited a stronger association ( sleep OR = 1.19; 95% CI: 1.13,1.25); ( exercise OR = 2.13; 95% CI = 2.03, 2.23). Results support an association between sleep, exercise, and self-report of CHD, and this association is potentially magnified among depressed individuals, which may be further exacerbated by the COVID-19 pandemic.
本研究利用 COVID-19 大流行期间的 2020 年行为危险因素监测系统（BRFSS）（n = 391 750）研究了睡眠、运动和抑郁与冠心病（CHD）之间的潜在关系。CHD定义为自我报告的CHD或心肌梗塞（MI）。描述性统计用于报告变量的频率和百分比。逻辑回归模型用于评估生活方式行为（单独和效应修正）与冠心病之间的潜在关系，并对抑郁受试者与非抑郁受试者进行了额外的敏感性分析比较。在模型中评估了睡眠和运动的潜在影响。睡眠不足和不运动的受试者更有可能报告患有冠心病（睡眠 OR = 1.09；95% CI：1.06, 1.12）；（运动 OR = 2.00；95% CI：1.95, 2.05），但交互项不显著。自我报告的抑郁症患者与冠心病相关（OR = 1.34；95% CI：1.30，1.38）。在抑郁症患者中，睡眠不足和不运动表现出更强的相关性（睡眠 OR = 1.19；95% CI：1.13,1.25）；（运动 OR = 2.13；95% CI = 2.03,2.23）。研究结果表明，睡眠、运动和自我报告的冠心病之间存在关联，这种关联在抑郁症患者中可能会被放大，而 COVID-19 的流行可能会进一步加剧这种关联。
{"title":"Lifestyle Factors and Heart Health: Exploring Effect Modification Using Behavioral Risk Factor Surveillance System Survey Data","authors":"Raeann Leal, Rhonda Spencer-Hwang, W. L. Beeson, Michael Paalani, H. Dos Santos","doi":"10.1177/15598276241226930","DOIUrl":"https://doi.org/10.1177/15598276241226930","url":null,"abstract":"This study examined the potential relationship between sleep, exercise, and depression with coronary heart disease (CHD) using the 2020 Behavioral Risk Factor Surveillance System (BRFSS) (n = 391 750) during the COVID-19 pandemic. CHD was defined as the presence of self-reported CHD or myocardial infarction (MI). Descriptive statistics were used to report variable frequencies and percentages. Logistic regression models were used to assess potential relationships between lifestyle behaviors (individually and for effect modification) and CHD, with additional sensitivity analysis comparing depressed subjects with non-depressed subjects. Sleep and exercise were assessed in the model for potential effect modification. Those with insufficient sleep and those who did not exercise were more likely to report CHD ( sleep OR = 1.09; 95% CI: 1.06, 1.12); ( exercise OR = 2.00; 95% CI: 1.95, 2.05), though the interaction term was non-significant. Those with self-reported depression were found to be associated with CHD (OR = 1.34; 95% CI: 1.30, 1.38). Among depressed individuals, insufficient sleep and no exercise exhibited a stronger association ( sleep OR = 1.19; 95% CI: 1.13,1.25); ( exercise OR = 2.13; 95% CI = 2.03, 2.23). Results support an association between sleep, exercise, and self-report of CHD, and this association is potentially magnified among depressed individuals, which may be further exacerbated by the COVID-19 pandemic.","PeriodicalId":47480,"journal":{"name":"American Journal of Lifestyle Medicine","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139613553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-17DOI: 10.1177/15598276241227890
Jacob B. Mirsky
{"title":"Long-Term Medication Changes After Hypertension-Focused Lifestyle Medicine Shared Medical Appointment Program","authors":"Jacob B. Mirsky","doi":"10.1177/15598276241227890","DOIUrl":"https://doi.org/10.1177/15598276241227890","url":null,"abstract":"","PeriodicalId":47480,"journal":{"name":"American Journal of Lifestyle Medicine","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139616521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-26DOI: 10.1177/15598276231222472
Brandi Jones
Lifestyle factors such as diet and exercise have been described as predictors of preventable disease such as Type 2 diabetes. Black/African American (AA) women disproportionately develop and are at greater risk, compared to Whites. The purpose of this study was to examine the association of exercise and adherence to MyPlate diet in this population. The health belief model was the theoretical foundation for this study. Research questions were designed to examine the extent to which lifestyle predicts diabetes. In this quantitative cross-sectional study, data from the 2015-2016 NHANES data sets were analyzed. Using SPSS, a series of binary logistic regressions were conducted. After controlling for age, there was no significant association between MyPlate diet adherence and diabetes (OR = .706, 95% CI [.292, 1.707], P > .005). Similarly, no significant association between exercise and diabetes was observed among this population (OR = 1.032, 95% CI [.721, 1.504], P > .005).
{"title":"Association of MyPlate Diet and Exercise with Diabetes in African American Women","authors":"Brandi Jones","doi":"10.1177/15598276231222472","DOIUrl":"https://doi.org/10.1177/15598276231222472","url":null,"abstract":"Lifestyle factors such as diet and exercise have been described as predictors of preventable disease such as Type 2 diabetes. Black/African American (AA) women disproportionately develop and are at greater risk, compared to Whites. The purpose of this study was to examine the association of exercise and adherence to MyPlate diet in this population. The health belief model was the theoretical foundation for this study. Research questions were designed to examine the extent to which lifestyle predicts diabetes. In this quantitative cross-sectional study, data from the 2015-2016 NHANES data sets were analyzed. Using SPSS, a series of binary logistic regressions were conducted. After controlling for age, there was no significant association between MyPlate diet adherence and diabetes (OR = .706, 95% CI [.292, 1.707], P > .005). Similarly, no significant association between exercise and diabetes was observed among this population (OR = 1.032, 95% CI [.721, 1.504], P > .005).","PeriodicalId":47480,"journal":{"name":"American Journal of Lifestyle Medicine","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139156624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-23DOI: 10.1177/15598276231222877
A. Cheng, Mollie E Dwivedi, Adriana Martin, Christina G Leslie, Madeline Pashos, Viola B Donahue, Julia B Huecker, Elizabeth A Salerno, Karen Steger-May, Devyani M Hunt
Changes in lifestyle habits can reduce morbidity and mortality, but not everyone who can benefit from lifestyle intervention is ready to do so. To describe characteristics of patients who did and did not engage with a lifestyle medicine program, and to identify predictors of engagement. This was a single-center, retrospective cohort study of 276 adult patients who presented for consultation to a goal-directed, individualized, interprofessional lifestyle medicine program. The primary outcome was patients’ extent of engagement. Candidate predictors considered in multivariable multinomial logistic regression models included baseline sociodemographic, psychological, and health-related variables. A predictor of full engagement over no engagement was having private or Medicare insurance (rather than Medicaid, other, or no insurance) (OR 4.2 [95% CI 1.3-14.2], P = .021). A predictor of partial engagement over no engagement was having a primary goal to lose weight (OR 3.1 [1.1-8.4], P = .026). System-level efforts to support coverage of lifestyle medicine services by all insurers may improve equitable engagement with lifestyle medicine programs. Furthermore, when assessing patients’ readiness to engage with a lifestyle medicine program, clinicians should consider and address their goals of participation.
{"title":"Predictors of Patient Engagement With an Interprofessional Lifestyle Medicine Program","authors":"A. Cheng, Mollie E Dwivedi, Adriana Martin, Christina G Leslie, Madeline Pashos, Viola B Donahue, Julia B Huecker, Elizabeth A Salerno, Karen Steger-May, Devyani M Hunt","doi":"10.1177/15598276231222877","DOIUrl":"https://doi.org/10.1177/15598276231222877","url":null,"abstract":"Changes in lifestyle habits can reduce morbidity and mortality, but not everyone who can benefit from lifestyle intervention is ready to do so. To describe characteristics of patients who did and did not engage with a lifestyle medicine program, and to identify predictors of engagement. This was a single-center, retrospective cohort study of 276 adult patients who presented for consultation to a goal-directed, individualized, interprofessional lifestyle medicine program. The primary outcome was patients’ extent of engagement. Candidate predictors considered in multivariable multinomial logistic regression models included baseline sociodemographic, psychological, and health-related variables. A predictor of full engagement over no engagement was having private or Medicare insurance (rather than Medicaid, other, or no insurance) (OR 4.2 [95% CI 1.3-14.2], P = .021). A predictor of partial engagement over no engagement was having a primary goal to lose weight (OR 3.1 [1.1-8.4], P = .026). System-level efforts to support coverage of lifestyle medicine services by all insurers may improve equitable engagement with lifestyle medicine programs. Furthermore, when assessing patients’ readiness to engage with a lifestyle medicine program, clinicians should consider and address their goals of participation.","PeriodicalId":47480,"journal":{"name":"American Journal of Lifestyle Medicine","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139162914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-21DOI: 10.1177/15598276231222195
Christine Skubisz, Julia M. Yates, Jamie L. Doyle, Carly R. Pacanowski
Social comparison is heightened by social media use and is linked to disordered eating. Compared to other developmental groups, emerging adults use social media most often. College-aged women and those who are members of sororities, which place a high value on appearance, may be especially vulnerable to social comparison and disordered eating. To learn about these topics, individual interviews and focus groups were conducted at a large university. A structured protocol covered body image, social media, disordered eating, and campus health programming. Most participants defined body image as externally focused, noting physical appearance. All interviewees talked about appearance with their peers and most had discussed weight and diet. All participants reported that their peers engaged in disordered eating. Instagram was the most influential social media platform and retouching software was universally used to alter the face or slim the body. Focus groups with sorority members elicited similar results. Instagram was the most common platform for chapter accounts and was used for recruitment. Participants noted that attractive members were featured most often and reported pressure to look good when wearing sorority letters. Social media is ingrained in society, making it critical to understand its influence on disordered eating in emerging adults.
{"title":"Making Life Look Perfect and Glorifying the Sorority Chapter: A Content Analysis of Body Image, Social Media Use, and Disordered Eating in College Women","authors":"Christine Skubisz, Julia M. Yates, Jamie L. Doyle, Carly R. Pacanowski","doi":"10.1177/15598276231222195","DOIUrl":"https://doi.org/10.1177/15598276231222195","url":null,"abstract":"Social comparison is heightened by social media use and is linked to disordered eating. Compared to other developmental groups, emerging adults use social media most often. College-aged women and those who are members of sororities, which place a high value on appearance, may be especially vulnerable to social comparison and disordered eating. To learn about these topics, individual interviews and focus groups were conducted at a large university. A structured protocol covered body image, social media, disordered eating, and campus health programming. Most participants defined body image as externally focused, noting physical appearance. All interviewees talked about appearance with their peers and most had discussed weight and diet. All participants reported that their peers engaged in disordered eating. Instagram was the most influential social media platform and retouching software was universally used to alter the face or slim the body. Focus groups with sorority members elicited similar results. Instagram was the most common platform for chapter accounts and was used for recruitment. Participants noted that attractive members were featured most often and reported pressure to look good when wearing sorority letters. Social media is ingrained in society, making it critical to understand its influence on disordered eating in emerging adults.","PeriodicalId":47480,"journal":{"name":"American Journal of Lifestyle Medicine","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138952663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-21DOI: 10.1177/15598276231222868
A. Cheng, Mollie E. Dwivedi, Adriana Martin, Christina G Leslie, Daniel E Fulkerson, Kirk H Bonner, Julia B Huecker, Elizabeth A Salerno, Karen Steger-May, Devyani M Hunt
Therapeutic lifestyle change can be challenging, and not every attempt is successful. To identify predictors of making progress toward lifestyle change among patients who participate in a lifestyle medicine program. This was a single-center, retrospective cohort study of 205 adults who enrolled in a goal-directed, individualized, interprofessional lifestyle medicine program. The primary outcome was whether, by the end of participation with the program, a patient reported making progress toward lifestyle change. Candidate predictors included sociodemographic, psychological, and health-related variables. Among 205 patients (median (IQR) age 58 (44-66) years, 164 (80%) female), 93 (45%) made progress toward lifestyle change during program participation. A predictor of making progress was being motivated by stress reduction (OR 2.8 [95% CI 1.1-7.6], P = .038). Predictors of not making progress included having a primary goal of losing weight (OR .3 [.2-.8], P = .012) and having a history of depression (OR .4 [.2-.7], P = .041). To maximize a patient’s likelihood of successfully making lifestyle changes, clinicians and patients may consider focusing on identifying goals that are immediately and palpably affected by lifestyle change. Additional research is warranted to identify effective program-level approaches to maximize the likelihood of success for patients with a history of depression.
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Pub Date : 2023-12-19DOI: 10.1177/15598276231223483
I. K. Ng
{"title":"Letter re: On Dietary Habits of Healthcare Workers and Association With Burnout","authors":"I. K. Ng","doi":"10.1177/15598276231223483","DOIUrl":"https://doi.org/10.1177/15598276231223483","url":null,"abstract":"","PeriodicalId":47480,"journal":{"name":"American Journal of Lifestyle Medicine","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138961917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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