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De Leon A, Roemmich JN, Casperson SL. Daily Dietary Protein Distribution Does Not Influence Changes in Body Composition During Weight Loss in Women of Reproductive Years with Overweight or Obesity: A Randomized Controlled Trial. J Nutr 2024; 154:1347-1355. [PMID: 38365118 DOI: 10.1016/j.tjnut.2024.02.009] [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: 09/14/2023] [Revised: 02/01/2024] [Accepted: 02/13/2024] [Indexed: 02/18/2024] Open
Abstract
BACKGROUND Preservation of fat-free mass (FFM) during intentional weight loss is challenging yet important to maintain a resting metabolic rate. A balanced protein distribution of 25-30 g per meal improves 24-h muscle protein synthesis, which may promote FFM maintenance and greater reductions in fat mass (FM) during weight loss in women. OBJECTIVES We aimed to determine whether the daily dietary protein distribution pattern during energy restriction influences changes in body composition in women of reproductive age. We hypothesized that evenly distributing protein across meals compared with the usual intake pattern of consuming most of the protein at the dinner meal would be superior in preserving FFM while reducing FM during weight loss. METHODS Healthy women (n = 43) aged 20-44 y with a BMI of 28-45 kg/m2 completed a randomized parallel feeding study testing 2 patterns of daily protein intake (even distribution across all meals compared with a skewed distribution with most protein consumed at the evening meal). Participants completed an 8-wk controlled 20% energy restriction (all foods provided), followed by an 8-wk self-choice phase in which participants were asked to maintain a similar diet and dietary pattern when purchasing and consuming their own foods. Body composition was measured at baseline, week 8, and week 16. Data were analyzed using mixed models. Statistical significance was set at P < 0.05. Data are presented as differences in least squares means ± SE. RESULTS No significant main effects of group or group-by-time interactions were observed. All measures exhibited the main effect of time (P < 0.001). Overall, body weight, FFM, FM, and body fat percentage decreased 5.6 ± 0.4, 1.0 ± 0.2, 4.6 ± 0.4 kg, and 2.3 ± 0.2%, respectively, during this 16-wk study. CONCLUSION Daily dietary protein distribution at a fixed protein level does not appear to influence changes in body composition during weight loss in women of reproductive age. CLINICAL TRIAL REGISTRY NUMBER AND WEBSITE WHERE IT WAS OBTAINED NCT03202069 https://classic. CLINICALTRIALS gov/ct2/show/NCT03202069.
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Affiliation(s)
- Angela De Leon
- USDA Agricultural Research Services, Grand Forks Human Nutrition Research Center, Grand Forks, ND, United States
| | - James N Roemmich
- USDA Agricultural Research Services, Grand Forks Human Nutrition Research Center, Grand Forks, ND, United States
| | - Shanon L Casperson
- USDA Agricultural Research Services, Grand Forks Human Nutrition Research Center, Grand Forks, ND, United States.
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2
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Andrade ALP, Temple JL, Balantekin KN. The relationship among disordered eating behavior, power of food scale and sensitization of the reinforcing value of food. Eat Behav 2024; 53:101878. [PMID: 38696869 DOI: 10.1016/j.eatbeh.2024.101878] [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: 11/02/2023] [Revised: 04/10/2024] [Accepted: 04/16/2024] [Indexed: 05/04/2024]
Abstract
INTRODUCTION Disordered eating behaviors are a current public health concern since their progression can lead to the development of a full criteria eating disorder. Sensitization to repeated intake of high energy density (HED) foods is associated with excess weight gain over time, but less is known about relationships with assessments of disordered eating. Thus, this study aims to understand how disordered eating behaviors refunlate to the influence of the food environment and sensitization. METHOD 163 adolescents - 50 % female and 13.2 mean age - were followed for 24 months. Sensitization was assessed by comparing the relative reinforcing value (RRV) of HED food at baseline and after two weeks of daily intake; sensitization was defined as RRV of food after repeated intake. Study participants also completed the EDE-Q, and Power of Food Scale (PFS). We conducted multivariate general linear models to examine these associations. RESULTS Sensitization status and PFS scores at baseline were positively associated with EDE-Q subscale scores cross-sectionally, but not longitudinally, at baseline and 24 months. We found that sensitization to HED food and higher susceptibility to food cues relates to increased disordered eating behaviors and both at baseline and at 24-months. DISCUSSION These findings suggest that sensitization to repeated HED food intake and the food environment might be a risk factor for later engagement in disordered eating behaviors. Future studies should address the temporal relationships among these factors and the role that social norms around body weight and weight stigma may play in the development of these behaviors.
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Affiliation(s)
- Ana Letícia Pereira Andrade
- Department of Community Health and Health Behavior, University at Buffalo, 3435 Main Street, Buffalo, NY 14214, United States of America.
| | - Jennifer L Temple
- Department of Community Health and Health Behavior, University at Buffalo, 3435 Main Street, Buffalo, NY 14214, United States of America; Department of Exercise and Nutrition Sciences, University at Buffalo, 3435 Main Street, Buffalo, NY 14214, United States of America.
| | - Katherine N Balantekin
- Department of Exercise and Nutrition Sciences, University at Buffalo, 3435 Main Street, Buffalo, NY 14214, United States of America.
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3
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You IJ, Bae Y, Beck AR, Shin S. Lateral hypothalamic proenkephalin neurons drive threat-induced overeating associated with a negative emotional state. Nat Commun 2023; 14:6875. [PMID: 37898655 PMCID: PMC10613253 DOI: 10.1038/s41467-023-42623-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 10/17/2023] [Indexed: 10/30/2023] Open
Abstract
Psychological stressors, like the nearby presence of a predator, can be strong enough to induce physiological/hormonal alterations, leading to appetite changes. However, little is known about how threats can alter feeding-related hypothalamic circuit functions. Here, we found that proenkephalin (Penk)-expressing lateral hypothalamic (LHPenk) neurons of mice exposed to predator scent stimulus (PSS) show sensitized responses to high-fat diet (HFD) eating, whereas silencing of the same neurons normalizes PSS-induced HFD overconsumption associated with a negative emotional state. Downregulation of endogenous enkephalin peptides in the LH is crucial for inhibiting the neuronal and behavioral changes developed after PSS exposure. Furthermore, elevated corticosterone after PSS contributes to enhance the reactivity of glucocorticoid receptor (GR)-containing LHPenk neurons to HFD, whereas pharmacological inhibition of GR in the LH suppresses PSS-induced maladaptive behavioral responses. We have thus identified the LHPenk neurons as a critical component in the threat-induced neuronal adaptation that leads to emotional overconsumption.
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Affiliation(s)
- In-Jee You
- Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA
- FBRI Center for Neurobiology Research, Roanoke, VA, USA
| | - Yeeun Bae
- Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA
- FBRI Center for Neurobiology Research, Roanoke, VA, USA
- Department of Human Nutrition, Foods, and Exercise, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | - Alec R Beck
- Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA
- FBRI Center for Neurobiology Research, Roanoke, VA, USA
| | - Sora Shin
- Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA.
- FBRI Center for Neurobiology Research, Roanoke, VA, USA.
- Department of Human Nutrition, Foods, and Exercise, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
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Abdulla NK, Obaid RR, Qureshi MN, Asraiti AA, Janahi MA, Abu Qiyas SJ, Faris ME. Relationship between hedonic hunger and subjectively assessed sleep quality and perceived stress among university students: A cross-sectional study. Heliyon 2023; 9:e14987. [PMID: 37089280 PMCID: PMC10114148 DOI: 10.1016/j.heliyon.2023.e14987] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 03/21/2023] [Accepted: 03/23/2023] [Indexed: 04/05/2023] Open
Abstract
Purpose This study examined the relationship between hedonic hunger (HH), sleep quality, and stress levels among university students in the United Arab Emirates and the Kingdom of Bahrain. Methods We used a cross-sectional design with participants (N = 565) recruited via convenience sampling. Data were collected with a self-administered, standardized, and validated online questionnaire. HH was assessed with the Palatable Eating Motives Scale (PEMS) and Power of Food Scale (PFS), sleep quality and sleep components were assessed with the Pittsburgh Sleep Quality Index (PSQI), stress was evaluated with the Perceived Stress Scale (PSS), and physical activity was examined with the International Physical Activity Questionnaire. Descriptive and analytical statistics were used to assess the relationship between HH and sleep quality and perceived stress. Results There were positive associations between total PSQI scores and total PEMS (β = 0.14, 95% confidence interval [CI]: 0.06-0.25, P = 0.001) and PFS (β = 0.21, 95% CI: 0.45-1.04, P < 0.001). The likelihood of poor sleep quality increased by 8% (odds ratio [OR] = 1.08, P = 0.020) and 43% (OR = 1.43, P < 0.001) for each one-unit increase in PEMS and PFS scores, respectively. We also found positive associations between PSS scores and total PEMS (β = 0.19, 95% CI: 0.26-0.63, P < 0.001) and PFS (β = 0.23, 95% CI: 1.04-2.22, P < 0.001) scores. Conclusion Reducing HH and stress levels may help to enhance sleep quality among university students. Conversely, improving sleep quality and reducing stress levels could improve HH in this population.
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Xiao H, Song J, Han X, Ye Z, Serier KN, Belon KE, Loor JM, Smith JE, Cui T, He J. Assessing hedonic hunger among Chinese adults using the Power of Food Scale: Psychometric properties and cross-cultural invariance between China and the US. Eat Behav 2023; 48:101703. [PMID: 36681015 DOI: 10.1016/j.eatbeh.2023.101703] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 01/06/2023] [Accepted: 01/10/2023] [Indexed: 01/15/2023]
Abstract
Hedonic hunger refers to food consumption for pleasure without biological energy deficits. The Power of Food Scale (PFS) is a well-developed self-report instrument assessing hedonic hunger. The present study aimed to translate and validate the PFS into simplified Chinese (C-PFS) and examine its psychometric properties among Chinese adults. A total of 773 participants (51.1 % men, M age = 24.98 years, SD = 6.10) were recruited in the present study from college and community populations. Consistent with the previous studies, confirmatory factor analysis showed that the C-PFS had three factors: food present, food available, and food tasted. In addition, a Cronbach's alpha of 0.92 and an ICC of 0.86 suggested that the C-PFS has good internal consistency and test-retest reliability. In terms of convergent validity, the scores of C-PFS correlated significantly with disordered eating symptomatology and loss of control over eating. Measurement invariance tests showed that the C-PFS was invariant across gender and sample source groups in the Chinese sample. In addition, a U.S. sample of 490 college students (26.6 % men, M age = 21.41 years, SD = 5.45) was used to test the measurement invariance across countries, and results suggested a partial invariance across college students from China and those from the U.S. In conclusion, the C-PFS can be a useful tool for measuring hedonic hunger among adults in China, and there may be cultural differences in the measurement of the PFS in college students across China and the U.S.
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Affiliation(s)
- Han Xiao
- School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen 517182, China
| | - Jianwen Song
- Department of Educational Psychology, Baylor University Graduate School, United States of America
| | - Xinni Han
- School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen 517182, China
| | - Zhengyan Ye
- School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen 517182, China
| | - Kelsey N Serier
- Department of Psychology, University of New Mexico, United States of America; National Center for PTSD, VA Boston Healthcare System, United States of America
| | | | - Jamie M Loor
- University of New Mexico Health Sciences Center, United States of America
| | - Jane Ellen Smith
- Department of Psychology, University of New Mexico, United States of America
| | - Tianxiang Cui
- School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen 517182, China
| | - Jinbo He
- School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen 517182, China.
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Paiva JB, Carvalho-Ferreira JP, Penati MP, Buckland NJ, da Cunha DT. Motivation to consume palatable foods as a predictor of body image dissatisfaction: Using the Power of Food Scale in a Brazilian sample. Eat Behav 2022; 45:101634. [PMID: 35569294 DOI: 10.1016/j.eatbeh.2022.101634] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 04/28/2022] [Accepted: 05/03/2022] [Indexed: 11/19/2022]
Abstract
The Power of Food Scale (PFS) is a questionnaire for self-assessing the motivation to consume palatable foods, especially in environments where food is abundant and constantly available. This study aimed to a) assess the factorial structure of the PFS in a Brazilian sample and b) examine the relationship between the power of food and body image dissatisfaction and BMI. The PFS and Body Shape Questionnaire (BSQ) were applied to a sample of 300 adults. Data were analysed using confirmatory factor analysis. Composite reliability (CR) was used to verify factor reliability. A partial least squares structural equation model was used to verify the effect of the PFS score on body image dissatisfaction. The PFS had an adequate factorial structure in this Brazilian sample, showing three well-defined factors: food available (CR = 0.91), food tasted (CR = 0.84), and food present (CR = 0.87). The BSQ showed one reliable factor (CR = 0.97). The power of the food aggregate factor significantly predicted body mass index (β = 0.16; p = .01) and body image dissatisfaction (β = 0.46; p < .001). The effect size was small for body mass index (f2 = 0.02) and medium for body image dissatisfaction (f2 = 0.26). The food present factor also had a slightly higher average among the three PFS factors. Women had higher PFS scores than men. Understanding the role that this motivation plays in physical and psychological outcomes such as body dissatisfaction can contribute to developing treatment strategies and support health professionals' performance in clinical settings.
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Affiliation(s)
- Juliana Beatriz Paiva
- Multidisciplinary Food and Health Laboratory (LABMAS), School of Applied Sciences, State University of Campinas (UNICAMP), Brazil
| | - Joana Pereira Carvalho-Ferreira
- Multidisciplinary Food and Health Laboratory (LABMAS), School of Applied Sciences, State University of Campinas (UNICAMP), Brazil
| | - Mariana Perecin Penati
- Multidisciplinary Food and Health Laboratory (LABMAS), School of Applied Sciences, State University of Campinas (UNICAMP), Brazil
| | | | - Diogo Thimoteo da Cunha
- Multidisciplinary Food and Health Laboratory (LABMAS), School of Applied Sciences, State University of Campinas (UNICAMP), Brazil.
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7
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Le TM, Malone T, Li CSR. Positive alcohol expectancy and resting-state functional connectivity of the insula in problem drinking. Drug Alcohol Depend 2022; 231:109248. [PMID: 34998254 PMCID: PMC8881788 DOI: 10.1016/j.drugalcdep.2021.109248] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 12/05/2021] [Accepted: 12/06/2021] [Indexed: 02/03/2023]
Abstract
Positive alcohol expectancy (AE), a significant predictor of excessive alcohol consumption, is associated with heightened drinking motivation and reduced control. As the insula interacts with the limbic and prefrontal structures to integrate stimulus saliency, interoception, and cognitive control, the region may play a unique role in modulating AE. Here, we examined resting-state functional connectivity of the right and left insula in relation to AE in 180 adult drinkers. Whole-brain multiple regressions and path analysis were performed to delineate the inter-relationship between AE, insular connectivity, and drinking severity. We found that heightened AE was associated with diminished right insular connectivity with regions involved in negative emotion processing and self-control, including the amygdala, putamen, and ventromedial prefrontal cortex. In contrast, there was a positive relationship between AE and right insular connectivity with regions implicated in motivated responses to alcohol stimuli, including the superior parietal lobule, postcentral and superior frontal gyri. Path analysis showed that the two sets of right insular connectivity exhibited opposing associations with AE and that their net strength (i.e., "control minus motivation") was negatively correlated with AE and drinking severity. Analyses of the left insula seed, in contrast, did not yield regional connectivity in significant correlation with AE. These findings highlight the roles of right insula connectivity in motivational and regulatory processes that may differentially modulate drinking behavior. Recruitment of the motivational circuit and/or disengagement of the affective control circuit would be associated with heightened AE and heavier alcohol consumption.
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Affiliation(s)
- Thang M. Le
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA,Correspondence: Thang M. Le, Ph.D., Connecticut Mental Health Center, S105, 34 Park Street, New Haven, CT 06519-1109, USA, , Phone: 203-974-7360
| | - Tessa Malone
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA
| | - Chiang-Shan R. Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA,Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06520, USA,Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT 06520, USA,Wu Tsai Institute, Yale University, New Haven, CT, USA
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8
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Kaur K, Jensen CD. Does hedonic hunger predict eating behavior and body mass in adolescents with overweight or obesity? CHILDRENS HEALTH CARE 2021. [DOI: 10.1080/02739615.2021.1983435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Kirandeep Kaur
- Brigham Young University, 223 John Taylor Building, Provo, UT, 84602, USA
| | - Chad D. Jensen
- Brigham Young University, 223 John Taylor Building, Provo, UT, 84602, USA
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Chmurzynska A, Mlodzik-Czyzewska MA, Radziejewska A, Wiebe DJ. Hedonic Hunger Is Associated with Intake of Certain High-Fat Food Types and BMI in 20- to 40-Year-Old Adults. J Nutr 2021; 151:820-825. [PMID: 33693662 DOI: 10.1093/jn/nxaa434] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 08/26/2020] [Accepted: 12/11/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Hedonic hunger occurs in response to a desire to consume food for pleasure. The μ-opioid system regulates the hedonic impact of food and the opioid receptor mu 1 gene (OPRM1) polymorphism has been associated with fat intake. OBJECTIVES The aim of this study was to determine whether the intake of high-fat food is associated with hedonic hunger and the OPRM1 polymorphism and whether these variables are related to BMI. METHODS Participants were 20- to 40-y-old women and men enrolled in Poznań, Poland in 2016-2018. The frequency of consumption of high-fat food was measured using a validated application for mobile devices. Hedonic hunger was assessed with the use of the Power of Food Scale (PFS). PFS1, PFS2, and PFS3 scores were generated for food available, food present, and food tasted, respectively. Genotyping of rs1799971 in the OPRM1 gene was performed using TaqMan probes. The associations were analyzed using linear regression or logistic regression, as appropriate. RESULTS Hedonic hunger scores were not associated with total high-fat food intake. Total PFS was associated with snack intake (β: 0.16, P = 0.0066). PFS1 was positively associated with healthy high-fat food intake (β: 0.27, P = 0.0001) and PFS2 with sweet high-fat food and fast-food intake (β: 0.27, P = 0.0030). OPRM1 genotype and hedonic hunger interacted on fast-food intake (β: -0.17; P < 0.0154). Total PFS and PFS2 increased the chance of having a BMI ≥ 25 kg/m2 (OR: 1.43; 95% CI: 1.03, 2.01; P = 0.0335 and OR: 1.89; 95% CI: 1.37, 2.61; P = 0.0001, respectively), whereas PFS3 decreased it (OR: 0.61; 95% CI: 0.41, 0.87; P = 0.0082). CONCLUSIONS Hedonic hunger is associated with the intake of selected types of high-fat food, but not with its total intake, in people aged 20-40 y. Associations between hedonic hunger and fast-food intake can be modified by OPRM1 genotype. Hedonic hunger is associated with BMI.
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Affiliation(s)
- Agata Chmurzynska
- Department of Human Nutrition and Dietetics, Poznań University of Life Sciences, Poznan, Poland
| | | | - Anna Radziejewska
- Department of Human Nutrition and Dietetics, Poznań University of Life Sciences, Poznan, Poland
| | - Douglas J Wiebe
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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10
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Bhutani S, Christian IR, Palumbo D, Wiggins JL. Reward-related neural correlates in adolescents with excess body weight. Neuroimage Clin 2021; 30:102618. [PMID: 33756180 PMCID: PMC8020479 DOI: 10.1016/j.nicl.2021.102618] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 03/01/2021] [Accepted: 03/02/2021] [Indexed: 12/04/2022]
Abstract
The functional and connectivity reward processing in adults with excessive body weight is well documented, though is relatively less researched during adolescence. Given that reward and inhibition may be highly malleable during adolescence, it is unknown how impulsive behaviors, potentially stemming from impaired inhibitory control and heightened sensitivity to rewarding cues, relate to increases in body weight in adolescents. Adolescents (N = 76; mean age = 14.10 years, SD = 1.92) with varied body mass index (BMI) performed a child-friendly monetary incentive delay task during functional magnetic resonance imaging, to study reward processing during the anticipation of rewards (cue) and reactions to feedback about rewards (feedback). Our results show that adolescents with greater BMI z-score show neural activation and ventral striatum connectivity alterations in networks implicated in reward, salience detection, and inhibitory control. These bottom-up reward and top-down inhibitory control networks, as well as interactions between these networks were prevalent during the anticipation period (when the cue is presented) as well as when receiving feedback about whether one has received a reward. Specifically, our results were mainly driven by failure to receive a reward in the feedback period, and the anticipation of a potential reward in the anticipation period. Overall, we provide evidence for heightened reward salience as well as inhibitory control deficits that, in combination, may contribute to the impulsive behaviors that lead to higher BMI in adolescents.
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Affiliation(s)
- Surabhi Bhutani
- School of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA 92182, USA.
| | | | - Danielle Palumbo
- Psychology Department, San Diego State University, San Diego, CA 92120, USA
| | - Jillian Lee Wiggins
- Psychology Department, San Diego State University, San Diego, CA 92120, USA; San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA 92120, USA
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Kramer LL, Blok M, van Velsen L, Mulder BC, de Vet E. Supporting eating behaviour of community-dwelling older adults: co-design of an embodied conversational agent. ACTA ACUST UNITED AC 2021; 5:120-139. [PMID: 34381936 PMCID: PMC8300522 DOI: 10.1080/24735132.2021.1885592] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
In order to support community-dwelling older adults with healthy eating behaviours, Embodied Conversational Agents (ECAs) may be an effective and engaging medium. However, ECAs have not yet been found to be capable of engendering behaviour change, which is partly attributed to the absence of a match with users’ practices, needs and preferences. Hence, we describe a co-design process with older adults that informs both the content and the appearance of an ECA. Data was gathered through three consecutive iterations of co-design sessions with two groups of community-dwelling older adults in the Netherlands. Prior to the first session, participants completed a seven-day lifestyle diary. This study adds knowledge on the meaning of healthy eating, as well as on specific barriers to, and opportunities for, giving advice using an ECA in this target group. Furthermore, we translate this knowledge into general advice for designing an ECA in the context of health behaviour change, while reflecting on a co-design process with older adults.
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Affiliation(s)
- Lean L Kramer
- Consumption and Healthy Lifestyles group, Wageningen University & Research, Wageningen, The Netherlands
| | - Marije Blok
- Department of Sociology, VU Amsterdam, Amsterdam, The Netherlands.,National Foundation for the Elderly, Amersfoort, The Netherlands
| | - Lex van Velsen
- Roessingh Research and Development, eHealth cluster, Enschede, The Netherlands.,Biomedical Signals and Systems Group, University of Twente, Enschede, The Netherlands
| | - Bob C Mulder
- Strategic Communication group, Wageningen University & Research, Wageningen, The Netherlands
| | - Emely de Vet
- Consumption and Healthy Lifestyles group, Wageningen University & Research, Wageningen, The Netherlands
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12
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Barker ED, Ing A, Biondo F, Jia T, Pingault JB, Du Rietz E, Zhang Y, Ruggeri B, Banaschewski T, Hohmann S, Bokde ALW, Bromberg U, Büchel C, Quinlan EB, Sounga-Barke E, Bowling AB, Desrivières S, Flor H, Frouin V, Garavan H, Asherson P, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MLP, Nees F, Papadopoulos-Orfanos D, Poustka L, Smolka MN, Vetter NC, Walter H, Whelan R, Schumann G. Do ADHD-impulsivity and BMI have shared polygenic and neural correlates? Mol Psychiatry 2021; 26:1019-1028. [PMID: 31227801 PMCID: PMC7910212 DOI: 10.1038/s41380-019-0444-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 04/29/2019] [Accepted: 05/03/2019] [Indexed: 01/29/2023]
Abstract
There is an extensive body of literature linking ADHD to overweight and obesity. Research indicates that impulsivity features of ADHD account for a degree of this overlap. The neural and polygenic correlates of this association have not been thoroughly examined. In participants of the IMAGEN study, we found that impulsivity symptoms and body mass index (BMI) were associated (r = 0.10, n = 874, p = 0.014 FWE corrected), as were their respective polygenic risk scores (PRS) (r = 0.17, n = 874, p = 6.5 × 10-6 FWE corrected). We then examined whether the phenotypes of impulsivity and BMI, and the PRS scores of ADHD and BMI, shared common associations with whole-brain grey matter and the Monetary Incentive Delay fMRI task, which associates with reward-related impulsivity. A sparse partial least squared analysis (sPLS) revealed a shared neural substrate that associated with both the phenotypes and PRS scores. In a last step, we conducted a bias corrected bootstrapped mediation analysis with the neural substrate score from the sPLS as the mediator. The ADHD PRS associated with impulsivity symptoms (b = 0.006, 90% CIs = 0.001, 0.019) and BMI (b = 0.009, 90% CIs = 0.001, 0.025) via the neuroimaging substrate. The BMI PRS associated with BMI (b = 0.014, 95% CIs = 0.003, 0.033) and impulsivity symptoms (b = 0.009, 90% CIs = 0.001, 0.025) via the neuroimaging substrate. A common neural substrate may (in part) underpin shared genetic liability for ADHD and BMI and the manifestation of their (observable) phenotypic association.
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Affiliation(s)
- Edward D Barker
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK.
| | - Alex Ing
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Francesca Biondo
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Tianye Jia
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, Shanghai, China
| | | | - Ebba Du Rietz
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Yuning Zhang
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Barbara Ruggeri
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Uli Bromberg
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
| | - Christian Büchel
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
| | - Erin Burke Quinlan
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Edmund Sounga-Barke
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - April B Bowling
- School of Health Science, Merrimack College, 315 Turnpike Street North Andover, North Andover, MA, 01845, USA
| | - Sylvane Desrivières
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
| | - Vincent Frouin
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
- NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, 05405, Burlington, VT, USA
| | - Philip Asherson
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Andreas Heinz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Abbestr. 2 - 12, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes - Sorbonne Paris Cité; and Maison de Solenn, Paris, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes; Sorbonne Université; and AP-HP, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | - Dimitri Papadopoulos-Orfanos
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
- NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nora C Vetter
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
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13
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Mason TB, Smith KE, Lavender JM, Leventhal AM. Longitudinal Prospective Association between Hedonic Hunger and Unhealthy Food and Drink Intake in Adolescents. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E9375. [PMID: 33333776 PMCID: PMC7765186 DOI: 10.3390/ijerph17249375] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 12/10/2020] [Accepted: 12/13/2020] [Indexed: 12/21/2022]
Abstract
Hedonic hunger (i.e., extreme responsiveness to food) has been associated with obesity and poor diet, but findings in the existing literature have primarily been cross-sectional. The current study examined hedonic hunger as a prospective predictor of the longitudinal trajectory of unhealthy food and drink intake across adolescence. Ninth grade students from Los Angeles area high schools (analyzed sample N = 3268) completed paper-and-pencil surveys across four annual waves; hedonic hunger was assessed at Wave 1, and unhealthy food and drink intake was assessed at Waves 1-4. Multilevel models showed a significant main effect of hedonic hunger and interactions between hedonic hunger and the linear and quadratic components of time. The association between hedonic hunger and unhealthy food and drink intake was strongest at Wave 1 and weakened over time, yet those with higher hedonic hunger reported greater unhealthy food and drink intake across the four years. Efforts to prevent and intervene upon hedonic hunger and its association with unhealthy food and drink intake during childhood and adolescence are warranted.
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Affiliation(s)
- Tyler B. Mason
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90032, USA;
- USC Institute for Addiction Science, University of Southern California, Los Angeles, CA 90032, USA;
| | - Kathryn E. Smith
- USC Institute for Addiction Science, University of Southern California, Los Angeles, CA 90032, USA;
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, CA 90033, USA
| | - Jason M. Lavender
- Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA;
- Military Cardiovascular Outcomes Research (MiCOR) Program, Bethesda, MD 20814, USA
- Metis Foundation, San Antonio, TX 78205, USA
| | - Adam M. Leventhal
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90032, USA;
- USC Institute for Addiction Science, University of Southern California, Los Angeles, CA 90032, USA;
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14
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Coninx S. Strong representationalism and bodily sensations: Reliable causal covariance and biological function. PHILOSOPHICAL PSYCHOLOGY 2020. [DOI: 10.1080/09515089.2020.1858476] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Sabrina Coninx
- Institute for Philosophy II, Ruhr University Bochum, Bochum, Germany
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15
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Pregnant Women Consume a Similar Proportion of Highly vs Minimally Processed Foods in the Absence of Hunger, Leading to Large Differences in Energy Intake. J Acad Nutr Diet 2020; 121:446-457. [PMID: 33109504 DOI: 10.1016/j.jand.2020.09.036] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 08/05/2020] [Accepted: 09/22/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND The eating in the absence of hunger (EAH) experimental paradigm measures intake of highly palatable, highly processed foods when sated. However, no studies have examined EAH in pregnant women. OBJECTIVE The objectives were to investigate whether EAH in pregnant women differs by level of food processing and to examine relationships of EAH with hedonic hunger, addictive-like eating, and impulsivity. DESIGN EAH was assessed in a counterbalanced crossover feeding substudy in which participants completed two free-access eating occasions following a standardized meal during their second pregnancy trimester. Hedonic hunger (Power of Food Scale), addictive-like eating (modified Yale Food Addiction Scale), and impulsivity (Barratt Impulsiveness Scale-15) were assessed by self-report during early pregnancy. PARTICIPANTS AND SETTING Data were collected from March 2015 through September 2016 from a subsample of participants (n = 46) enrolled at ≤12 weeks gestation in an observational, prospective cohort study (the Pregnancy Eating Attributes Study) in North Carolina. INTERVENTION Participants were presented with highly processed and minimally processed foods in two separate assessments. MAIN OUTCOME MEASURES Energy intake (EAH-kcal) and percent consumed (EAH-%) (calculated as 100 × [amount consumed (g) / amount served (g)]) was measured overall and separately for sweet and savory foods. STATISTICAL ANALYSES PERFORMED Linear mixed models estimated the effect of condition on EAH. Hedonic hunger, addictive-like eating, impulsivity and their interaction were examined separately. RESULTS EAH-% was similar across conditions (16.3% ± 1.1% highly processed vs 17.9% ± 1.2% minimally processed; P = 0.76), resulting in 338.5 ± 34.2 kcal greater energy intake in the highly processed vs minimally processed condition (P < 0.001). Hedonic hunger was not significantly associated with EAH; reward-related eating was positively associated with EAH-kcal and EAH-% of savory foods, and Barratt Impulsivity was positively associated with EAH-kcal and EAH-% overall, and with EAH-% of sweet foods (P < 0.05). There was little evidence of an interaction of Barratt Impulsivity with hedonic hunger or reward-related eating. CONCLUSIONS EAH in pregnant women occurs for both highly processed and minimally processed foods and correlates positively with self-reported addictive-like eating, but not hedonic hunger. Impulsivity did not modify associations of addictive-like eating with EAH in this sample.
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16
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Nansel TR, Lipsky LM, Burger K, Faith M, Nicholson W, Stuebe A, Liu A, Siega-Riz AM. Reward-related eating, self-regulation, and weight change in pregnancy and postpartum: the Pregnancy Eating Attributes Study (PEAS). Int J Obes (Lond) 2020; 44:2444-2454. [PMID: 32958906 PMCID: PMC8205306 DOI: 10.1038/s41366-020-00685-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 08/19/2020] [Accepted: 09/09/2020] [Indexed: 11/22/2022]
Abstract
Background/Objectives. Reward-related eating is hypothesized to underlie risk for weight gain in obesogenic environments, but its role is unknown during pregnancy and postpartum when weight change is normative, but excess weight gain and weight retention are common. This study examined associations of self-reported reward-related eating, self-regulation, and the home food environment with excessive gestational weight gain (GWG) and postpartum weight change. Subjects/Methods. Participants in the Pregnancy Eating Attributes Study observational cohort were enrolled at ≤12 weeks pregnancy and followed through one-year postpartum (458 recruited; 367 retained through delivery). Participants completed four measures of reward-related eating – Modified Yale Food Addiction Scale, Power of Food Scale, Multiple Choice Procedure, and a Reinforcing Value of Food Questionnaire; two measures of self-regulation – Barratt Impulsiveness Scale and Delay of Gratification Inventory; and a Home Food Inventory. Measured weight and skinfolds were obtained. Multinomial logistic and multiple linear regression analyses estimated associations of reward-related eating, self-regulation, and home food environment with excessive GWG, gestational fat gain, postpartum weight change, and percent of GWG retained. Results. Excessive GWG was associated with food reinforcement intensity, but not with any other measure of reward-related eating, self-regulation, or home food environment. Greater gestational fat gain was associated only with higher Multiple Choice Procedure. Postpartum weight change and percent of GWG retained were associated with greater Delay of Gratification and obesogenic home food environment, but not with any measure of reward-related eating or with impulsivity. Conclusions. Findings do not support the hypothesis that self-reported reward-related eating is associated with weight outcomes in pregnancy and postpartum but indicate a relation of Delay of Gratification with postpartum weight retention. Further research using both surveys and objective measures of reward-related eating is needed to advance our understanding of the relation of reward-related eating with weight changes during this critical period of a woman’s life.
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Affiliation(s)
- Tonja R Nansel
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Dr., MSC 7004, Bethesda, MD, USA.
| | - Leah M Lipsky
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Dr., MSC 7004, Bethesda, MD, USA
| | - Kyle Burger
- Gillings School of Global Public Health, University of North Carolina Chapel Hill, 2204 McGavran-Greenberg Hall, CB#, 7461, Chapel Hill, NC, USA
| | - Myles Faith
- Department of Counseling, School, and Educational Psychology, Graduate School of Education, 420 Baldy Hall, University at Buffalo-SUNY, Buffalo, NY, USA
| | - Wanda Nicholson
- Obstetrics and Gynecology, University of North Carolina School of Medicine, 3027 Old Clinic Building, CB, 7570, Chapel Hill, NC, USA
| | - Alison Stuebe
- Division of Maternal-Fetal Medicine, University of North Carolina School of Medicine, 3010 Old Clinic Building, CB, 7516, Chapel Hill, NC, USA
| | - Aiyi Liu
- Biostatistics and Bioinformatics Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Dr., MSC 7004, Bethesda, MD, USA
| | - Anna Maria Siega-Riz
- Departments of Nutrition and Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, 109 Arnold House, 715 Pleasant St., Amherst, MA, USA
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17
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Horwath CC, Hagmann D, Hartmann C. The Power of Food: Self-control moderates the association of hedonic hunger with overeating, snacking frequency and palatable food intake. Eat Behav 2020; 38:101393. [PMID: 32497904 DOI: 10.1016/j.eatbeh.2020.101393] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 05/05/2020] [Accepted: 05/11/2020] [Indexed: 12/22/2022]
Abstract
The purpose of the study was to explore whether self-control moderates the associations between hedonic hunger and overeating frequency, snacking frequency and palatable food intake. Data from the first wave of the Swiss Food Panel 2.0 study was analyzed (N = 4774), from the German- and French-speaking part of Switzerland (52% men). Measures included hedonic hunger assessed with the Power of Food Scale (PFS), the short form Self-Control Scale, overeating frequency, snacking frequency, intake of high-fat salty snack foods, and intake of high-sugar foods assessed with a semiquantitative food frequency questionnaire. Higher scores on the PFS and lower self-control capacities were correlated with higher intakes of both high-fat salty snack foods and high-sugar foods (referred to here as palatable foods), higher overeating frequency and higher snacking frequency. Four separate moderation analyses revealed that the positive associations of hedonic hunger with overeating frequency, snacking frequency and palatable food intake were significantly attenuated by self-control. Results of the present study indicate that people who are highly sensitive to the ready availability of palatable foods but also have high levels of self-control exhibit less frequent overeating and snacking, including less frequent intake of unhealthy palatable foods, than those low in self-control. Consequently, self-control may prevent overeating and thus may serve as a protective factor that decreases the risk of becoming overweight in individuals who are highly sensitive to the food environment.
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Affiliation(s)
| | - Désirée Hagmann
- Department of Health Science and Technology, Consumer Behavior, ETH Zurich, Universitaetstrasse 22, CHN J75.3, CH-8092 Zurich, Switzerland.
| | - Christina Hartmann
- Department of Health Science and Technology, Consumer Behavior, ETH Zurich, Universitaetstrasse 22, CHN J75.3, CH-8092 Zurich, Switzerland.
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18
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Mason TB, Dunton GF, Gearhardt AN, Leventhal AM. Emotional disorder symptoms, anhedonia, and negative urgency as predictors of hedonic hunger in adolescents. Eat Behav 2020; 36:101343. [PMID: 31715461 PMCID: PMC7044051 DOI: 10.1016/j.eatbeh.2019.101343] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Revised: 11/05/2019] [Accepted: 11/06/2019] [Indexed: 10/25/2022]
Abstract
Affect and reward are associated with unhealthy eating and weight; however, less research has examined affective predictors of hedonic hunger (i.e., extreme reward responsivity, pleasure toward, and drive for food), particularly among adolescents. Whether symptoms indicative of emotional disturbance increase risk of adverse reward-based eating-related symptoms such as hedonic hunger, is unknown. Such evidence could explain why emotional problems increase risk of eating and weight problems among adolescents, when eating-related health problems often originate. This report examined baseline emotional disorder symptoms, negative urgency (i.e., tendency to act impulsively in response to negative affect), and anhedonia (i.e., loss of interest in activities and decreased pleasure) as prospective predictors of increases in hedonic hunger in adolescents; associations between changes in emotional disturbance problems and hedonic hunger were also examined. Ninth-grade students (N = 2598) from high schools completed paper-and-pencil surveys at baseline and a 1-year follow-up. In a multivariable model controlling for the covariance of emotional problems, higher negative urgency, general anxiety, and obsessive-compulsive symptoms, and lower anhedonia at baseline independently predicted increases in hedonic hunger one year later. Also, increases in negative urgency, general anxiety, and obsessive-compulsive symptoms and decreases in anhedonia independently predicted increases in hedonic hunger. Affect- and reward-related variables may be important contributors to risk of hedonic hunger in adolescence.
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Affiliation(s)
- Tyler B Mason
- Deparment of Preventive Medicine, University of Southern California, Los Angeles, CA, United States of America.
| | - Genevieve F Dunton
- Deparment of Preventive Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Ashley N Gearhardt
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States of America
| | - Adam M Leventhal
- Deparment of Preventive Medicine, University of Southern California, Los Angeles, CA, United States of America
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19
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Lipsky LM, Nansel TR, Haynie DL, Liu D, Eisenberg Colman MH, Simons-Morton B. Lack of prospective relationships of the Power of Food Scale with Body Mass Index and dieting over 2 years in U.S. emerging adults. Eat Behav 2019; 34:101302. [PMID: 31153024 PMCID: PMC7668209 DOI: 10.1016/j.eatbeh.2019.101302] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 05/13/2019] [Accepted: 05/15/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND This study investigated prospective relationships of the Power of Food Scale (PFS), a self-report measure of hedonic hunger, with weight outcomes and dieting in U.S. young adults. METHODS PFS (PFS-aggregate and subscales: PFS-available, PFS-present, PFS-tasted) was assessed in waves (W, years) 5 and 6 of a nationally representative cohort of 10th graders assessed annually (baseline n = 2785, 83% retention at W7). Internal consistency (Cronbach's α), 1-year stability (intraclass correlation coefficient, ICC) and confirmatory factor analysis (CFA) were examined. Analyses accounting for the complex survey design examined cross-sectional associations of W6 PFS with W6 BMI and dieting, and prospective relationships of PFS in each wave with BMI, 1-year BMI change (BMIΔ, W6-W5 and W7-W6), overweight/obesity onset (OWOB, moving to a higher risk weight category) and dieting in the following wave. Multiple imputations addressed missing data. RESULTS Baseline participant mean ± SE age was 20.3 ± 0.02 years. Mean BMI increased by approximately 0.6 kg/m2 from W5 through W7; OWOB occurred in 7.4% of participants between W5-W6; 9.0% between W6-W7. Approximately half the sample reported dieting in each wave. W6 weight outcomes were not associated with W6 PFS, but W6 dieting frequency was positively associated with W6 PFS-available, PFS-present, and PFS-aggregate (but not PFS-tasted) in multivariable models. PFS was not prospectively associated with weight outcomes. Positive prospective associations of PFS with dieting frequency were inconsistent across waves and with respect to inclusion of covariates. CONCLUSIONS Greater PFS is associated with dieting cross-sectionally but was not a reliable indicator of susceptibility to future weight outcomes or dieting in young adults.
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Affiliation(s)
- Leah M Lipsky
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, United States of America.
| | - Tonja R Nansel
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development
| | - Denise L Haynie
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development
| | - Danping Liu
- Biostatistics and Bioinformatics Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development
| | - Miriam H. Eisenberg Colman
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development
| | - Bruce Simons-Morton
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development
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20
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Vainik U, García-García I, Dagher A. Uncontrolled eating: a unifying heritable trait linked with obesity, overeating, personality and the brain. Eur J Neurosci 2019; 50:2430-2445. [PMID: 30667547 DOI: 10.1111/ejn.14352] [Citation(s) in RCA: 103] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 12/21/2018] [Accepted: 01/08/2019] [Indexed: 12/21/2022]
Abstract
Many eating-related psychological constructs have been proposed to explain obesity and overeating. However, these constructs, including food addiction, disinhibition, hedonic hunger, emotional eating, binge eating and the like all have similar definitions, emphasizing loss of control over intake. As questionnaires measuring the constructs correlate strongly (r > 0.5) with each other, we propose that these constructs should be reconsidered to be part of a single broad phenotype: uncontrolled eating. Such an approach enables reviewing and meta-analysing evidence obtained with each individual questionnaire. Here, we describe robust associations between uncontrolled eating, body mass index (BMI), food intake, personality traits and brain systems. Reviewing cross-sectional and longitudinal data, we show that uncontrolled eating is phenotypically and genetically intertwined with BMI and food intake. We also review evidence on how three psychological constructs are linked with uncontrolled eating: lower cognitive control, higher negative affect and a curvilinear association with reward sensitivity. Uncontrolled eating mediates all three constructs' associations with BMI and food intake. Finally, we review and meta-analyse brain systems possibly subserving uncontrolled eating: namely, (i) the dopamine mesolimbic circuit associated with reward sensitivity, (ii) frontal cognitive networks sustaining dietary self-control and (iii) the hypothalamus-pituitary-adrenal axis, amygdala and hippocampus supporting stress reactivity. While there are limits to the explanatory and predictive power of the uncontrolled eating phenotype, we conclude that treating different eating-related constructs as a single concept, uncontrolled eating, enables drawing robust conclusions on the relationship between food intake and BMI, psychological variables and brain structure and function.
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Affiliation(s)
- Uku Vainik
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.,Institute of Psychology, University of Tartu, Tartu, Estonia
| | | | - Alain Dagher
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
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21
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Guzzardi MA, Garelli S, Agostini A, Filidei E, Fanelli F, Giorgetti A, Mezzullo M, Fucci S, Mazza R, Vicennati V, Iozzo P, Pagotto U. Food addiction distinguishes an overweight phenotype that can be reversed by low calorie diet. EUROPEAN EATING DISORDERS REVIEW 2018; 26:657-670. [PMID: 30350446 DOI: 10.1002/erv.2652] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 09/22/2018] [Accepted: 09/24/2018] [Indexed: 12/27/2022]
Abstract
Similarities in neural activation patterns in obese and substance-dependent subjects led to the food addiction concept, but studies exploiting this issue for obesity stratification are missing. We assessed brain activation in response to food cues using 18 F-2-fluoro-2-deoxy-glucose-PET in 36 overweight women, stratified by low or high food addiction groups according to the Yale Food Addiction Scale (YFAS). Assessments were repeated after a 3-month diet. We found greater activation in thalamus, hypothalamus, midbrain, putamen, and occipital cortex (reward), but not in prefrontal and orbitofrontal cortices (control/reward receipt) in the high-YFAS versus low-YFAS group. In high-YFAS subjects, orbitofrontal responsiveness was inversely related to YFAS severity and hunger rating, and positive associations were observed between regional brain activation and lipid intake. A 3-month diet abolished group differences in brain activation. Our data suggest that food addiction distinguishes an overweight phenotype that can be reversed by diet, opening to personalized strategies in obesity treatment.
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Affiliation(s)
| | - Silvia Garelli
- Endocrinology Unit, Department of Medical and Surgical Science, Centre for Applied Biomedical Research, S. Orsola-Malpighi Hospital, Alma Mater University of Bologna, Bologna, Italy
| | - Alessandro Agostini
- Department of Experimental, Diagnostic, and Specialty Medicine DIMES St. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
| | | | - Flaminia Fanelli
- Endocrinology Unit, Department of Medical and Surgical Science, Centre for Applied Biomedical Research, S. Orsola-Malpighi Hospital, Alma Mater University of Bologna, Bologna, Italy
| | | | - Marco Mezzullo
- Endocrinology Unit, Department of Medical and Surgical Science, Centre for Applied Biomedical Research, S. Orsola-Malpighi Hospital, Alma Mater University of Bologna, Bologna, Italy
| | | | - Roberta Mazza
- Endocrinology Unit, Department of Medical and Surgical Science, Centre for Applied Biomedical Research, S. Orsola-Malpighi Hospital, Alma Mater University of Bologna, Bologna, Italy
| | - Valentina Vicennati
- Endocrinology Unit, Department of Medical and Surgical Science, Centre for Applied Biomedical Research, S. Orsola-Malpighi Hospital, Alma Mater University of Bologna, Bologna, Italy
| | - Patricia Iozzo
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Uberto Pagotto
- Endocrinology Unit, Department of Medical and Surgical Science, Centre for Applied Biomedical Research, S. Orsola-Malpighi Hospital, Alma Mater University of Bologna, Bologna, Italy
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22
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Corbin KD, Driscoll KA, Pratley RE, Smith SR, Maahs DM, Mayer-Davis EJ. Obesity in Type 1 Diabetes: Pathophysiology, Clinical Impact, and Mechanisms. Endocr Rev 2018; 39:629-663. [PMID: 30060120 DOI: 10.1210/er.2017-00191] [Citation(s) in RCA: 139] [Impact Index Per Article: 23.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Accepted: 06/21/2018] [Indexed: 02/07/2023]
Abstract
There has been an alarming increase in the prevalence of obesity in people with type 1 diabetes in recent years. Although obesity has long been recognized as a major risk factor for the development of type 2 diabetes and a catalyst for complications, much less is known about the role of obesity in the initiation and pathogenesis of type 1 diabetes. Emerging evidence suggests that obesity contributes to insulin resistance, dyslipidemia, and cardiometabolic complications in type 1 diabetes. Unique therapeutic strategies may be required to address these comorbidities within the context of intensive insulin therapy, which promotes weight gain. There is an urgent need for clinical guidelines for the prevention and management of obesity in type 1 diabetes. The development of these recommendations will require a transdisciplinary research strategy addressing metabolism, molecular mechanisms, lifestyle, neuropsychology, and novel therapeutics. In this review, the prevalence, clinical impact, energy balance physiology, and potential mechanisms of obesity in type 1 diabetes are described, with a special focus on the substantial gaps in knowledge in this field. Our goal is to provide a framework for the evidence base needed to develop type 1 diabetes-specific weight management recommendations that account for the competing outcomes of glycemic control and weight management.
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Affiliation(s)
- Karen D Corbin
- Translational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, Florida
| | - Kimberly A Driscoll
- Department of Pediatrics, School of Medicine, University of Colorado Denver, Aurora, Colorado.,Barbara Davis Center for Diabetes, Aurora, Colorado
| | - Richard E Pratley
- Translational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, Florida
| | - Steven R Smith
- Translational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, Florida
| | - David M Maahs
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California
| | - Elizabeth J Mayer-Davis
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.,Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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23
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Brewer JA, Ruf A, Beccia AL, Essien GI, Finn LM, van Lutterveld R, Mason AE. Can Mindfulness Address Maladaptive Eating Behaviors? Why Traditional Diet Plans Fail and How New Mechanistic Insights May Lead to Novel Interventions. Front Psychol 2018; 9:1418. [PMID: 30250438 PMCID: PMC6139346 DOI: 10.3389/fpsyg.2018.01418] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 07/20/2018] [Indexed: 01/20/2023] Open
Abstract
Emotional and other maladaptive eating behaviors develop in response to a diversity of triggers, from psychological stress to the endless external cues in our modern food environment. While the standard approach to food- and weight-related concerns has been weight-loss through dietary restriction, these interventions have produced little long-term benefit, and may be counterproductive. A growing understanding of the behavioral and neurobiological mechanisms that underpin habit formation may explain why this approach has largely failed, and pave the way for a new generation of non-pharmacologic interventions. Here, we first review how modern food environments interact with human biology to promote reward-related eating through associative learning, i.e., operant conditioning. We also review how operant conditioning (positive and negative reinforcement) cultivates habit-based reward-related eating, and how current diet paradigms may not directly target such eating. Further, we describe how mindfulness training that targets reward-based learning may constitute an appropriate intervention to rewire the learning process around eating. We conclude with examples that illustrate how teaching patients to tap into and act on intrinsic (e.g., enjoying healthy eating, not overeating, and self-compassion) rather than extrinsic reward mechanisms (e.g., weighing oneself), is a promising new direction in improving individuals' relationship with food.
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Affiliation(s)
- Judson A. Brewer
- Center for Mindfulness in Medicine, Healthcare, and Society, Division of Mindfulness, University of Massachusetts Medical School, Worcester, MA, United States
| | - Andrea Ruf
- Center for Mindfulness in Medicine, Healthcare, and Society, Division of Mindfulness, University of Massachusetts Medical School, Worcester, MA, United States
| | - Ariel L. Beccia
- Center for Mindfulness in Medicine, Healthcare, and Society, Division of Mindfulness, University of Massachusetts Medical School, Worcester, MA, United States
- Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States
| | - Gloria I. Essien
- Contemplative Studies, Brown University, Providence, RI, United States
| | - Leonard M. Finn
- Needham Wellesley Family Medicine PC, Wellesley, MA, United States
- Department of Family Medicine and Community Health, University of Massachusetts Medical School, Worcester, MA, United States
| | - Remko van Lutterveld
- Center for Mindfulness in Medicine, Healthcare, and Society, Division of Mindfulness, University of Massachusetts Medical School, Worcester, MA, United States
| | - Ashley E. Mason
- Department of Medicine, Osher Center for Integrative Medicine, University of California, San Francisco, San Francisco, CA, United States
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24
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Espel‐Huynh HM, Muratore AF, Lowe MR. A narrative review of the construct of hedonic hunger and its measurement by the Power of Food Scale. Obes Sci Pract 2018; 4:238-249. [PMID: 29951214 PMCID: PMC6009994 DOI: 10.1002/osp4.161] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2017] [Revised: 01/20/2018] [Accepted: 01/27/2018] [Indexed: 12/02/2022] Open
Abstract
INTRODUCTION The term 'hedonic hunger' refers to one's preoccupation with and desire to consume foods for the purposes of pleasure and in the absence of physical hunger. The Power of Food Scale (PFS) was developed as a quantitative measure of this construct in 2009. Since then, over 50 published studies have used the PFS to predict appetite-related outcomes including neural, cognitive, behavioural, anthropometric and clinical measures. OBJECTIVE This narrative review evaluates how closely the PFS captures the construct it was originally presumed to assess and to more clearly define hedonic hunger itself. METHODS The measure's relationship to four domains is reviewed and summarized: motivation to consume palatable foods; level of actual consumption of such foods; body mass; and subjective loss-of-control over one's eating behaviour. Findings are synthesized to generate a more accurate understanding of what the PFS measures and how it may relate to the broader definition of hedonic hunger. RESULTS Results suggest that the PFS is closely related to motivation to consume palatable foods and, in extreme cases, occurrence of loss-of-control eating episodes. PFS scores are not consistently predictive of amount of food consumed or body mass. CONCLUSIONS Implications of these findings are discussed in the context of behavioural health, and avenues for further inquiry are identified.
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Affiliation(s)
| | - A. F. Muratore
- Department of PsychologyDrexel UniversityPhiladelphiaPAUSA
| | - M. R. Lowe
- Department of PsychologyDrexel UniversityPhiladelphiaPAUSA
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25
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Ribeiro G, Camacho M, Santos O, Pontes C, Torres S, Oliveira-Maia AJ. Association between hedonic hunger and body-mass index versus obesity status. Sci Rep 2018; 8:5857. [PMID: 29643337 PMCID: PMC5895788 DOI: 10.1038/s41598-018-23988-x] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Accepted: 03/23/2018] [Indexed: 01/25/2023] Open
Abstract
Obesity-associated differences in hedonic hunger, while consistently reported, have not been adequately quantified, with most studies failing to demonstrate strong correlations between Body Mass Index (BMI) and hedonic hunger indicators. Here, we quantified and assessed the nature of the relationship between hedonic hunger and BMI, in a cross-sectional study using the Portuguese version of the PFS (P-PFS) to measure hedonic hunger. Data were collected from 1266 participants belonging to non-clinical, clinical (candidates for weight-loss surgery) and population samples. Across samples, significant but weak positive associations were found between P-PFS scores and BMI, in adjusted linear regression models. However, in logistic regression models of data from the clinical and non-clinical samples, the P-PFS Food Available domain score was significantly and robustly associated with belonging to the clinical sample (OR = 1.8, 95%CI: 1.2–2.8; p = 0.008), while in the population sample it was associated to being obese (OR = 2.1, 95%CI: 1.6–2.7; p < 0.001). Thus, hedonic hunger levels are associated with obesity status with the odds of being obese approximately doubling for each unit increase in the P-PFS Food Available score.
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Affiliation(s)
- Gabriela Ribeiro
- Champalimaud Clinical Centre, Champalimaud Centre for the Unknown, Av. de Brasília, Doca de Pedrouços, 1400-038, Lisboa, Portugal.,Lisbon Academic Medical Centre PhD Program, Faculdade de Medicina, Universidade de Lisboa, Avenida Professor Egas Moniz, 1649-028, Lisboa, Portugal
| | - Marta Camacho
- Champalimaud Clinical Centre, Champalimaud Centre for the Unknown, Av. de Brasília, Doca de Pedrouços, 1400-038, Lisboa, Portugal.,John van Geest Centre for Brain Repair, Department of Clinical Neurosciences, School of Clinical Medicine, University of Cambridge, Cambridge, CB2, 0SP, UK
| | - Osvaldo Santos
- Instituto de Saúde Ambiental, Faculdade de Medicina, Universidade de Lisboa, Avenida Professor Egas Moniz, 1649-028, Lisboa, Portugal.,Instituto de Medicina Preventiva e Saúde Pública, Faculdade de Medicina, Universidade de Lisboa, Avenida Professor Egas Moniz, 1649-028, Lisboa, Portugal
| | - Cristina Pontes
- Psychiatry and Mental Health Clinic, Centro Hospitalar de São João, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal
| | - Sandra Torres
- Faculdade de Psicologia e de Ciências da Educação, Universidade do Porto, Rua Alfredo Allen, 4200-135, Porto, Portugal.,Centro de Psicologia da Universidade do Porto, Rua Alfredo Allen, 4200-135, Porto, Portugal
| | - Albino J Oliveira-Maia
- Champalimaud Clinical Centre, Champalimaud Centre for the Unknown, Av. de Brasília, Doca de Pedrouços, 1400-038, Lisboa, Portugal. .,Department of Psychiatry and Mental Health, Centro Hospitalar de Lisboa Ocidental, Rua da Junqueira, 126, 1340-019, Lisboa, Portugal. .,NOVA Medical School
- Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Campo Mártires da Pátria 130, 1169-056, Lisboa, Portugal. .,Champalimaud Research, Champalimaud Centre for the Unknown, Av. de Brasília, Doca de Pedrouços, 1400-038, Lisboa, Portugal.
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26
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Samerphob N, Cheaha D, Chatpun S, Kumarnsit E. Hippocampal CA1 local field potential oscillations induced by olfactory cue of liked food. Neurobiol Learn Mem 2017; 142:173-181. [DOI: 10.1016/j.nlm.2017.05.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2016] [Revised: 04/20/2017] [Accepted: 05/17/2017] [Indexed: 12/30/2022]
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