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Hayashi D, Masterson TD, Rigby A, Butt M. Associations of food addiction symptomatology with bariatric surgical attrition: a cross-sectional analysis. Surg Obes Relat Dis 2025:S1550-7289(25)00013-9. [PMID: 39904648 DOI: 10.1016/j.soard.2025.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Revised: 01/01/2025] [Accepted: 01/12/2025] [Indexed: 02/06/2025]
Abstract
BACKGROUND Despite the effectiveness of bariatric surgery, there remains a high rate of attrition from surgical programs, highlighting the need to understand factors that influence presurgical attrition rates. OBJECTIVES To investigate the association between food addiction (FA) symptomatology and attrition from bariatric surgery. SETTING Surgical weight-loss program at a single academic medical center. METHODS Data for this analysis were collected from August 2020 until August 2022. Measures included sociodemographic variables, mental health, eating assessments, and FA symptomatology. Data were analyzed using a combination of descriptive statistics, univariable logistic regressions, and a multivariable stepwise logistic regression model. RESULTS A total of 505 adult patients were included (76.98% female, mean age 42.61 years, 263 [52.08%] undergoing surgery). FA scores were significantly and positively correlated with surgical attrition, current food insecurity, anxiety and depression symptoms, internalized weight bias, lower dietary quality, and distress and impairment due to FA. In the multivariable model, only current food insecurity, depressive symptoms, internalized weight bias, and impairment caused by FA were significant predictors of surgical attrition. CONCLUSIONS Although the number of FA symptoms was not associated in the multivariable model, impairment attributable to FA remained a significant predictor of surgical attrition. This trend suggests that an evaluation of FA may reflect a complex network of factors. Further, FA may not be a predictor of surgical attrition in the absence of perceived clinically significant impairment. Additional research should explore the relationship between impairment attributable to FA and surgical attrition to test the generalizability of these findings.
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Affiliation(s)
- Daisuke Hayashi
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, Pennsylvania
| | - Travis D Masterson
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, Pennsylvania
| | - Andrea Rigby
- Division of Minimally Invasive Surgery, Department of Surgery, Penn State Milton S. Hershey Medical Center, Hershey, Pennsylvania; Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania
| | - Melissa Butt
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania.
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Seelarbokus BA, Rabat Y, Lalanne C, Sibon I, Berthoz S. Food Addiction: Prevalence, Severity, and Impact on Vascular Stroke Risk Factors in a French Hospital-Based Sample. Nutrients 2024; 16:4327. [PMID: 39770948 PMCID: PMC11676678 DOI: 10.3390/nu16244327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2024] [Revised: 12/06/2024] [Accepted: 12/12/2024] [Indexed: 01/11/2025] Open
Abstract
BACKGROUND Stroke ranks as the second leading cause of death and the third leading cause of disability in adults worldwide. While an unhealthy diet is an independent risk factor for stroke, its association with disordered eating behaviours on stroke remains overlooked. This exploratory study aimed to evaluate the prevalence and severity of addictive-like eating behaviours in stroke patients and their association with the main vascular stroke risk factors. METHODS First-ever minor or moderate stroke patients with the ability to complete self-report questionnaires were included. Addictive-like eating was assessed using the Yale Food Addiction Scale 2.0 (YFAS 2.0). The variables of interest were: (i) the proportion of patients meeting the diagnosis of food addiction (FA); (ii) FA symptoms count and severity; (iii) addictive-like eating profile severity. Their association with four main vascular risk factors (obesity, hypertension, dyslipidemia and diabetes) were tested using univariate and multivariate analyses. RESULTS Over a 4-month period, 101 patients (mean (standard deviation (SD)), 62.8 (13.7) years; males: 60.4%) were consecutively screened with the YFAS 2.0. Overall, 5% of the sample endorsed an FA diagnosis, and 38.6% screened positive for at least one of the symptom criteria, with the most frequently endorsed symptom being "Inability to cut down". Dyslipidemia was the only vascular risk factor associated with the FA diagnosis (p = 0.043, 95% CI [-0.21; 0.01]). However, the severity of the addictive profile was associated with dyslipidemia (p = 0.016, 95% CI [-2.16; -0.21]) and diabetes (p = 0.038, 95% CI [-1.77; 0.25]), but only independently with dyslipidemia (p = 0.05; OR = 1.25; 95% CI [1.00; 1.56]). There were significant associations between the number of vascular risk factors and the severity of Time spent, Tolerance, and Use despite adverse consequences of FA symptoms, both in univariate and multivariate analyses (all p < 0.05). The number of vascular risk factors and total number of FA symptoms were significantly associated in univariate analyses (p = 0.007) but not after adjusting for age (p = 0.055) or sex (p = 0.083). CONCLUSIONS This study highlighted the potential importance of addictive-like behaviours in the secondary prevention of stroke. However, larger and longer-term studies investigating addictive-like eating in diverse samples of stroke patients are warranted to achieve precision medicine.
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Affiliation(s)
- Bibi Aliya Seelarbokus
- Univ. Bordeaux, Institute for Cognitive and Integrative Neuroscience Aquitaine (INCIA), French National Centre for Scientific Research (CNRS), UMR5287, 33000 Bordeaux, France; (B.A.S.); (Y.R.); (S.B.)
| | - Yolaine Rabat
- Univ. Bordeaux, Institute for Cognitive and Integrative Neuroscience Aquitaine (INCIA), French National Centre for Scientific Research (CNRS), UMR5287, 33000 Bordeaux, France; (B.A.S.); (Y.R.); (S.B.)
| | | | - Igor Sibon
- Univ. Bordeaux, Institute for Cognitive and Integrative Neuroscience Aquitaine (INCIA), French National Centre for Scientific Research (CNRS), UMR5287, 33000 Bordeaux, France; (B.A.S.); (Y.R.); (S.B.)
- Neurovascular Unit, Bordeaux University Hospital, 33000 Bordeaux, France
| | - Sylvie Berthoz
- Univ. Bordeaux, Institute for Cognitive and Integrative Neuroscience Aquitaine (INCIA), French National Centre for Scientific Research (CNRS), UMR5287, 33000 Bordeaux, France; (B.A.S.); (Y.R.); (S.B.)
- Department of Psychiatry for Adolescents and Young Adults, Institut Mutualiste Montsouris, 75014 Paris, France
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Huang PC, Latner JD, Bevan N, Griffiths MD, Chen JS, Huang CH, O'Brien KS, Lin CY. Internalized weight stigma and psychological distress mediate the association of perceived weight stigma with food addiction among young adults: A cross-sectional study. J Eat Disord 2024; 12:150. [PMID: 39350243 PMCID: PMC11443792 DOI: 10.1186/s40337-024-01112-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 09/15/2024] [Indexed: 10/04/2024] Open
Abstract
BACKGROUND Perceived weight stigma (PWS) and internalized weight stigma (IWS) are both associated with psychological distress and food addiction (FA). Using the previously proposed 'cyclic obesity/weight-based stigma' (COBWEBS) model, the present study extended the framework to investigate the mediating effects of IWS and psychological distress in the association between PWS and FA among young adults. Given that individuals who are overweight/have obesity have different vulnerabilities, this population was separately analyzed alongside the total study population. METHODS An online survey comprising the Perceived Weight Stigma Scale, Weight Bias Internalization Scale (WBIS), Depression, Anxiety and Stress Scale-21 (DASS-21), and modified Yale Food Addiction Scale Version 2 was completed by 601 participants (59.6% females; mean age 29.3 years [SD = 6.07]). A total of 219 participants were categorized as being overweight/having obesity. RESULTS A direct correlation was found between PWS and FA (standardized coefficient [β] = 0.28, p < 0.001) among both populations, and was mediated by IWS and psychological distress (β [95% CI] = 0.03 [0.01, 0.05] for WBIS score and 0.10 [0.06, 0.14] for DASS-21 score) among the total participants, but only mediated by psychological distress among participants who were overweight/had obesity (β [95% CI] = 0.14 [0.06, 0.24]). CONCLUSIONS The results demonstrated novel perspectives by showing the direct association between PWS and FA and the mediating roles of IWS and psychological distress. Treatment strategies such as psychological acceptance and psychoeducation could be used to reduce weight stigma, which could have positive downstream benefits of ameliorating FA. Future research may seek to study strategies for reducing weight stigma and psychological distress, to investigate their efficacy in improving disordered eating.
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Affiliation(s)
- Po-Ching Huang
- School of Physical Therapy, Graduate Institute of Rehabilitation Science, College of Medicine, Chang Gung University, 259 Wen-Hwa 1st Rd, Taoyuan, 333323, Taiwan
| | - Janet D Latner
- Department of Psychology, University of Hawaii at Manoa, 2500 Campus Road, Honolulu, HI, 96822, USA
| | - Nadia Bevan
- School of Social Sciences, Monash University, 20 Chancellors Walk, Clayton, VIC, 3800, Australia
| | - Mark D Griffiths
- International Gaming Research Unit, Psychology Department, Nottingham Trent University, 50 Shakespeare St, Nottingham, NG1 4FQ, UK
| | - Jung-Sheng Chen
- Department of Medical Research, E-Da Hospital, I-Shou University, 1 Yida Rd., Yanchao Dist, Kaohsiung, 82445, Taiwan
| | - Chi Hsien Huang
- Department of Family Medicine and Community Medicine, E-Da Hospital, I-Shou University, No. 1, Yida Rd., Jiaosu Village, Yanchao District, Kaohsiung City, 82445, Taiwan.
- College of Medicine, I-Shou University, No.8, Yida Rd., Jiaosu Village, Yanchao District, Kaohsiung City, 82445, Taiwan.
| | - Kerry S O'Brien
- School of Social Sciences, Monash University, 20 Chancellors Walk, Clayton, VIC, 3800, Australia
| | - Chung-Ying Lin
- Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, 1 University Rd., East Dist, Tainan, 701401, Taiwan.
- Biostatistics Consulting Center, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, 1 University Rd., East Dist, Tainan, 701401, Taiwan.
- Department of Public Health, College of Medicine, National Cheng Kung University, 1 University Rd., East Dist, Tainan, 701401, Taiwan.
- Department of Occupational Therapy, College of Medicine, National Cheng Kung University, 1 University Rd., East Dist, Tainan, 701401, Taiwan.
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Skinner JA, Leary M, Whatnall M, Collins RA, Pursey KM, Verdejo-Garcia A, Hay PJ, Baker AL, Hides L, Paxton SJ, Wood LG, Colyvas K, Collins CE, Burrows TL. A three-arm randomised controlled trial of a telehealth intervention targeting improvement in addictive eating for Australian adults (the TRACE program). Appetite 2024; 195:107211. [PMID: 38215944 DOI: 10.1016/j.appet.2024.107211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 01/03/2024] [Accepted: 01/09/2024] [Indexed: 01/14/2024]
Abstract
There is a substantial research base for addictive eating with development of interventions. The current 3-arm RCT aimed to investigate the efficacy of the TRACE (Targeted Research for Addictive and Compulsive Eating) program to decrease addictive eating symptoms and improve mental health. Participants (18-85 yrs) endorsing ≥3 addictive eating symptoms were randomly allocated to 1) active intervention, 2) passive intervention, or 3) control group. Primary outcome was change in addictive eating symptoms 3-months post-baseline measured by the Yale Food Addiction Scale. Depression, anxiety and stress were also assessed. A total of 175 individuals were randomised. Using Linear Mixed Models, from baseline to 3-months, there was significant improvement in symptom scores in all groups with mean decrease of 4.7 (95% CI: -5.8, -3.6; p < 0.001), 3.8 (95% CI: -5.2, -2.4; p < 0.001) and 1.5 (95% CI: -2.6, -0.4; p = 0.01) respectively. Compared with the control group, participants in the active intervention were five times more likely to achieve a clinically significant change in symptom scores. There was a significant reduction in depression scores in the active and passive intervention groups, but not control group [-2.9 (95% CI: -4.5, -1.3); -2.3 (95% CI: -4.3, -0.3); 0.5 (95% CI: -1.1, 2.1), respectively]; a significant reduction in stress scores within the active group, but not passive intervention or control groups [-1.3 (95% CI: -2.2, -0.5); -1.0 (95% CI: -2.1, 0.1); 0.4 (95% CI: -0.5, 1.2), respectively]; and the reduction in anxiety scores over time was similar for all groups. A dietitian-led telehealth intervention for addictive eating in adults was more effective than a passive or control condition in reducing addictive eating scores from baseline to 6 months. Trial registration: Australia New Zealand Clinical Trial Registry ACTRN12621001079831.
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Affiliation(s)
- Janelle A Skinner
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, 2308, Australia; Hunter Medical Research Institute, University of Newcastle, New Lambton Heights, NSW, 2305, Australia
| | - Mark Leary
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, 2308, Australia; Hunter Medical Research Institute, University of Newcastle, New Lambton Heights, NSW, 2305, Australia
| | - Megan Whatnall
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, 2308, Australia; Hunter Medical Research Institute, University of Newcastle, New Lambton Heights, NSW, 2305, Australia
| | - Rebecca A Collins
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, 2308, Australia; Hunter Medical Research Institute, University of Newcastle, New Lambton Heights, NSW, 2305, Australia
| | - Kirrilly M Pursey
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, 2308, Australia; Hunter Medical Research Institute, University of Newcastle, New Lambton Heights, NSW, 2305, Australia
| | - Antonio Verdejo-Garcia
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, 3800, Australia
| | - Phillipa J Hay
- Translational Health Research Institute, Western Sydney University, Campbelltown, NSW, 2751, Australia; Mental Health Services, South Western Sydney Local Health District, Camden and Campbelltown Hospitals, NSW, 2560, Australia
| | - Amanda L Baker
- Hunter Medical Research Institute, University of Newcastle, New Lambton Heights, NSW, 2305, Australia; School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Leanne Hides
- School of Psychology, University of Queensland, St Lucia, QLD, 4072, Australia
| | - Susan J Paxton
- Department of Psychology and Counselling, Latrobe University, Melbourne, VIC, 3086, Australia
| | - Lisa G Wood
- Hunter Medical Research Institute, University of Newcastle, New Lambton Heights, NSW, 2305, Australia; School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Kim Colyvas
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - Clare E Collins
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, 2308, Australia; Hunter Medical Research Institute, University of Newcastle, New Lambton Heights, NSW, 2305, Australia
| | - Tracy L Burrows
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, 2308, Australia; Hunter Medical Research Institute, University of Newcastle, New Lambton Heights, NSW, 2305, Australia.
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Derrigo K, LaFata EM. Examining the proportions of food addiction among women with and without polycystic ovarian syndrome who do and do not take hormonal birth control. Eat Behav 2023; 51:101824. [PMID: 37950975 DOI: 10.1016/j.eatbeh.2023.101824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 10/31/2023] [Accepted: 10/31/2023] [Indexed: 11/13/2023]
Abstract
Polycystic ovarian syndrome (PCOS) is a reproductive disorder driven by insulin resistance. Insulin resistance may increase weight gain and increase the rewarding intake of ultra-processed foods (UPFs). Individuals with PCOS may be more susceptible to the reinforcing properties of UPFs, increasing the risk to consume UPFs in addictive-like ways, operationalized by food addiction (FA). Additionally, hormonal birth control, commonly prescribed to women with PCOS, are found to increase food cravings and overeating. This study examined the relationships between PCOS status, FA, and hormonal birth control use. The study sample (N = 365, assigned female at birth) was drawn from Amazon Mechanical Turk, with half of the sample (n = 181) reporting having PCOS and the other half not (n = 184). Participants answered questions about women's reproductive health (i.e., PCOS, hormonal birth control use) and completed the modified Yale Food Addiction Scale 2.0 (mYFAS 2.0). A chi-square test found that 51.9 % of participants with PCOS (M = 6.23, SD = 3.82) met diagnostic criteria for FA (assessed by the mYFAS 2.0) compared to 16.8 % of participants without PCOS (M = 2.47, SD = 3.39). A hierarchical linear regression found independent main effects of PCOS status (β = 0.40, t(352) = 8.61, p < .001) and hormonal birth control use (β = 0.16, t(351) = 3.59, p < .001), to be associated with higher mYFAS symptom count scores. No differences were found between the types of hormonal birth control participants reported taking. The finding suggests that FA is an overlooked, understudied psychological condition impacting these individuals in weight loss treatments. Future studies are needed to understand the relationship between FA and PCOS in clinical samples.
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Affiliation(s)
- Karly Derrigo
- Department of Psychology, Drexel University, Philadelphia, PA, United States.
| | - Erica M LaFata
- Department of Psychology, Drexel University, Philadelphia, PA, United States.
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Legendre M, Bégin C. Group therapy to reduce maladaptive eating behaviors in people with overweight or obesity: Does food addiction impact the treatment response? Eat Behav 2023; 49:101720. [PMID: 36931049 DOI: 10.1016/j.eatbeh.2023.101720] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 02/25/2023] [Accepted: 03/09/2023] [Indexed: 03/19/2023]
Abstract
BACKGROUND Given that the presence of food addiction worsens the clinical portrait in people with overweight or obesity, it could also impact the treatment response. The objective was to explore the moderating effect of baseline food addiction (FA) on the treatment response. The associations between changes in FA symptoms and other maladaptive eating behaviors were also examined. METHODS Sixty adults with overweight or obesity were recruited and took part in a 12-session group therapy for compulsive eating. They completed questionnaires on FA and three treatment outcomes (binge eating, grazing, and depressive symptoms). Participants were split into two groups according to their number of baseline FA symptoms (no/mild FA vs. moderate/severe FA) and were compared on all outcomes at four measurement points (baseline, mid-treatment, post-treatment, and 6-month follow-up). Correlations between changes in FA symptoms and all three outcomes from pre- to post-treatment were performed. RESULTS Group and treatment effects were significant for binge eating and grazing but not for depressive symptoms. Interaction effects were not significant for the three outcomes. The reduction in FA symptoms from pre- to post-treatment was positively associated with the reduction in binge eating (r = 0.49) and grazing (r = 0.55). CONCLUSIONS People with moderate/severe FA maintained higher maladaptive eating behaviors than people with no/mild FA from the beginning to the end of the treatment. Progression through treatment followed the same pattern for both groups, suggesting that baseline FA did not have a moderating effect. People with moderate/severe FA would likely benefit from a longer treatment.
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Affiliation(s)
- Maxime Legendre
- School of Psychology, Pavillon Félix-Antoine-Savard, 2325, rue des Bibliothèques, Laval University, Quebec G1V 0A6, QC, Canada.
| | - Catherine Bégin
- School of Psychology, Pavillon Félix-Antoine-Savard, 2325, rue des Bibliothèques, Laval University, Quebec G1V 0A6, QC, Canada.
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7
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Allison KC, Wu J, Spitzer JC, McCuen-Wurst C, Ashare RL, Tewksbury C, LaGrotte CA, Wadden TA, Williams NN, Sarwer DB. Changes in Eating Behaviors and Their Relation to Weight Change 6 and 12 Months After Bariatric Surgery. Obes Surg 2023; 33:733-742. [PMID: 36690865 PMCID: PMC9870778 DOI: 10.1007/s11695-022-06442-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 12/22/2022] [Accepted: 12/27/2022] [Indexed: 01/25/2023]
Abstract
INTRODUCTION Identifying eating behaviors associated with suboptimal weight loss following bariatric surgery remains important. This study assessed the relationship between eating behaviors and weight loss following bariatric surgery in a racially diverse sample. METHODS Participants were assessed before surgery and 6 and 12 months postoperatively, with the Structured Clinical Interview for DSM-5, the Eating Disorder Examination-Bariatric Surgery Version, and validated measures assessing a range of eating behaviors. Linear mixed effect models were used to test the impact of eating behaviors on percent weight loss (%WL) at 6 and 12 months. RESULTS We enrolled 300 participants (mean age 40.1 years; BMI 45.9 kg/m2; 87% women; 62% Black and 30% White). The majority (82%) underwent sleeve gastrectomy (SG). Mean %WL was 23.0 ± 5.1% at 6 months and 26.2 ± 7.6% at 12 months. Subjective binge episodes prior to surgery predicted greater %WL over the first 12 postoperative months (p = 0.028). Postoperative disinhibition, hunger, night eating symptoms, objective binge episodes, global disordered eating attitudes and behaviors, and snacks per day were associated with smaller %WL over 12 months (all p's < 0.01). The presence of picking/nibbling and addictive-like eating behaviors was not associated with %WL at the end of the first postoperative year. CONCLUSION Among a diverse participant sample, problematic eating behaviors following surgery were associated with smaller %WL over 12 months. Postoperative assessment and treatment of eating behaviors are needed to address these issues as they arise and to prevent attenuation of early weight loss in some patients.
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Affiliation(s)
- Kelly C Allison
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, 3535 Market Street, 3rd floor, Philadelphia, PA, 19104, USA.
| | - Jingwei Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Temple University, Ritter Annex Building, 9th Floor, 1301 Cecil B Moore Avenue, Philadelphia, PA, 19122, USA
| | - Jacqueline C Spitzer
- Center for Obesity Research and Education, College of Public Health, Temple University, 3223 North Broad Street, Suite 175, Philadelphia, PA, 19140, USA
| | - Courtney McCuen-Wurst
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, 3535 Market Street, 3rd floor, Philadelphia, PA, 19104, USA
| | - Rebecca L Ashare
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, 3535 Market Street, 3rd floor, Philadelphia, PA, 19104, USA
- Department of Psychology, University at Buffalo, 334 Diefendorf Hall, South Campus, Buffalo, NY, 14214, USA
| | - Colleen Tewksbury
- Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, 4th Floor Maloney Building, Philadelphia, PA, 19104, USA
- School of Nursing, University of Pennsylvania, Clair M. Fagin Hall, 418 Curie Boulevard, Philadelphia, PA, 19104, USA
| | - Caitlin A LaGrotte
- Behavioral Medicine, Cooper University Health Care and Cooper Medical School of Rowan University, Camden, NJ, 1 Cooper Plaza, Camden, NJ, 08103, USA
| | - Thomas A Wadden
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, 3535 Market Street, 3rd floor, Philadelphia, PA, 19104, USA
| | - Noel N Williams
- Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, 4th Floor Maloney Building, Philadelphia, PA, 19104, USA
| | - David B Sarwer
- Center for Obesity Research and Education, College of Public Health, Temple University, 3223 North Broad Street, Suite 175, Philadelphia, PA, 19140, USA
- Department of Social and Behavioral Sciences, College of Public Health, Temple University, Bell Building, 3Rd Floor, 1101 W. Montgomery Avenue, Philadelphia, PA, 19122, USA
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Socio-Demographic, Self-Control, Bullying, Parenting, and Sleep as Proximal Factors Associated with Food Addiction among Adolescents. Behav Sci (Basel) 2022; 12:bs12120488. [PMID: 36546971 PMCID: PMC9774808 DOI: 10.3390/bs12120488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 11/24/2022] [Accepted: 11/28/2022] [Indexed: 12/03/2022] Open
Abstract
Adolescence is considered an important period of neurodevelopment. It is a time for the emergence of psychosocial vulnerabilities, including symptoms of depression, eating disorders, and increased engagement in unhealthy eating behaviours. Food addiction (FA) in adolescents is an area of study where there has been substantial growth. However, to date, limited studies have considered what demographic characteristics of adolescents may predispose them to endorse greater symptoms of FA. Studies have found a variety of factors that often cluster with and may influence an adolescent's eating behaviour such as sleep, level of self-control, and parenting practices, as well as bullying. Therefore, this study investigated a range of socio-demographic, trait, mental health, and lifestyle-related profiles (including self-control, parenting, bullying, and sleep) as proximal factors associated with symptoms of FA, as assessed via the Yale Food Addiction Scale for Children (YFAS-C) in a large sample of Australian adolescents. Following data cleaning, the final analysed sample included 6587 students (age 12.9 years ± 0.39; range 10.9-14.9 years), with 50.05% identifying as male (n = 3297), 48.5% as female (n = 3195), 1.02% prefer not to say (n = 67), and 0.43% as non-binary (n = 28). Self-control was found to be the most significant predictor of total FA symptom score, followed by female gender, sleep quality, and being a victim of bullying. Universal prevention programs should therefore aim to address these factors to help reduce the prevalence or severity of FA symptoms within early adolescent populations.
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Food Addiction: a Deep Dive into ‘Loss of Control’ and ‘Craving’. CURRENT ADDICTION REPORTS 2022. [DOI: 10.1007/s40429-022-00431-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Abstract
Abstract
Purpose of Review
The majority of existing research discusses food addiction (FA) classification, which provides information for different groups and which groups may or may not be affected to differing degrees. Fewer studies report FA symptom scores, and fewer still report on individual symptoms. This paper discusses the symptoms of craving and loss of control as they are common FA symptoms that demonstrate similarities with both substance use disorders and some eating disorder pathology.
Recent Findings
Loss of control presents parallels with disordered eating, particularly binge eating disorder. Craving refers to the powerful or strong desire for something and, in contrast to lack of control, presents most overlap with substance use disorders.
Summary
While not the most common symptoms reported in published research, loss of control and craving attract attention because of parallels with substance use and eating disorder pathology, and research has increasingly focused on these symptoms in recent years.
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Santiago VA, Cassin SE. Social and Occupational Impairment Among Individuals with Ultra-processed Food Addiction. CURRENT ADDICTION REPORTS 2022. [DOI: 10.1007/s40429-022-00416-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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