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Lankila H, Kuutti MA, Kekäläinen T, Hietavala EM, Laakkonen EK. Associations of menopausal status and eating behaviour with subjective measures of sleep. J Sleep Res 2024:e14155. [PMID: 38327126 DOI: 10.1111/jsr.14155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 12/08/2023] [Accepted: 01/13/2024] [Indexed: 02/09/2024]
Abstract
Eating and sleeping behaviour are known to interact with each other, yet research is limited in the context of menopausal women. The aim of this study was to examine whether menopausal status is associated with perceived problems in sleeping. Furthermore, we studied different aspects of eating behaviour as potential risk factors for poor sleep in menopausal women. The present study is exploratory in nature, thus the results should be interpreted as hypothesis-generating. We analysed the sleeping and eating behaviour of 1098 women aged 47-55 years and represented different menopausal statuses with regression analyses. Over 20% of them reported fairly poor or poor perceived sleep quality. A higher number of postmenopausal women reported experiencing at least fairly poor sleep quality compared with the other menopausal groups. However, in regression models controlled for several confounding factors menopausal status was not associated with measures of sleep. Women who reported more snacking-type eating behaviour were more likely to report shorter sleep duration, and more daytime tiredness. Externally cued eating was associated with shorter sleep duration and emotional eating was associated with experiencing daytime tiredness. However, after adjusting for multiple testing, it appears that eating behaviour is associated only with daytime tiredness. Menopausal women with sleeping problems may benefit from nutritional interventions targeting eating behaviour.
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Affiliation(s)
- Hannamari Lankila
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
- Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
| | - Mari A Kuutti
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
- Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
| | - Tiia Kekäläinen
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
- Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
| | - Enni-Maria Hietavala
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Eija K Laakkonen
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
- Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
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Scotto Rosato M, Cipriano A, Napolano R, Cella S. Maternal control and eating styles in children: The mediating role of emotion differentiation. Clin Child Psychol Psychiatry 2024; 29:76-89. [PMID: 37646467 DOI: 10.1177/13591045231199303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Introduction: Theoretical accounts and empirical research suggest that mother-child interactions significantly influence the child's eating styles (emotional, external, and restrained eating). However, little or no research has explored the association between maternal psychological control and eating styles and whether other mechanisms may be involved in such association. To address this shortcoming, the present study aimed to investigate the mediating role of difficulties in differentiating emotions between maternal control and eating styles.Methods: Participants were 324 elementary school children (Girls = 172, 53.1%) aged between 8 and 11 years (Mage = 9.13, SD = .89) assessed through self-report measures. Parents provided information about weight and height.Results: Path analysis model showed an acceptable fit to the data (χ2 (3) = 3.966, p = .256; RMSEA = .032; CFI = .990; TLI = .911; SRMR = .018). Difficulties in differentiating emotions significantly mediated the relationship between maternal control and emotional eating (β = -.071, 95%CI [-.094, -.052]; p < .001). The model was invariant across genders.Conclusions: Our findings support the importance of dyadic interaction in enhancing the risk for dysfunctional eating style during infancy, showing that emotion differentiation deficits may be particularly salient in such relationship. Clinical and practical implications of these findings are discussed.
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Affiliation(s)
- Marco Scotto Rosato
- Observatory on Eating Disorders, Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Annarosa Cipriano
- Observatory on Eating Disorders, Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Rosanna Napolano
- Observatory on Eating Disorders, Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Stefania Cella
- Observatory on Eating Disorders, Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
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Huisman SD, Hendrieckx C, Bot M, Pouwer F, Nefs G. Prevalence, associations and health outcomes of binge eating in adults with type 1 or type 2 diabetes: Results from Diabetes MILES - The Netherlands. Diabet Med 2023; 40:e14953. [PMID: 36084309 PMCID: PMC10087813 DOI: 10.1111/dme.14953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 08/24/2022] [Accepted: 08/29/2022] [Indexed: 11/27/2022]
Abstract
AIMS To examine the prevalence and health risks of binge eating in people with diabetes. METHODS Self-report data were analysed from a subsample (n = 582 type 1 diabetes/735 type 2 diabetes) of Diabetes MILES - the Netherlands, an online survey. Prevalence of binge eating was compared across diabetes type and treatment and between participants with and without binges for eating styles, diabetes treatment and outcomes, weight, BMI and psychological comorbidity. Associations between binge eating, HbA1c , BMI, diabetes distress were assessed using hierarchical linear regression analyses. RESULTS 23% (n = 308) of participants reported eating binges, with 16% at least monthly, and 6% at least weekly. Prevalence and frequency of binges did not differ across diabetes type or treatment. People reporting binges scored higher on dietary restraint, emotional and external eating and reported higher weight and BMI than those without binges. Only people with type 1 diabetes and eating binges had a higher HbA1c . Hierarchical regression analyses demonstrated that binge eating was independently associated with higher HbA1c (β = 0.12, p=0.001), BMI (β = 0.13, p < 0.001) but not with diabetes distress. CONCLUSIONS This study found binge eating to be associated with eating styles, BMI and HbA1c . However, our cross-sectional data do not allow for conclusions on causality. Future studies could further examine the directions of these associations and their clinical implications.
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Affiliation(s)
- Sasja D Huisman
- Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Christel Hendrieckx
- School of Psychology, Deakin University, Geelong, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, Australia
| | - Mariska Bot
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - François Pouwer
- School of Psychology, Deakin University, Geelong, Australia
- Department of Psychology, University of Southern Denmark, Odense, Denmark
- Steno Diabetes Center Odense, Odense, Denmark
| | - Giesje Nefs
- Department of Medical Psychology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
- Department of Medical and Clinical Psychology, Tilburg University, Center of Research on Psychological and Somatic disorders (CoRPS), Tilburg, The Netherlands
- Diabeter, National Treatment and Research Center for Children, Adolescents and Adults with Type 1 Diabetes, Rotterdam, The Netherlands
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Desdentado L, Navarrete J, Folgado-Alufre M, de Blas A, Navarro-Siurana J, Ponce F, Molinari G, Jimeno-Martínez A, Rupérez AI, Bueno-Lozano G, Cuenca-Royo A, Corbella E, Agüera Z, Baños RM, Álvarez-Pitti J. Are Peripheral Biomarkers Determinants of Eating Styles in Childhood and Adolescence Obesity? A Cross-Sectional Study. Nutrients 2022; 14:305. [PMID: 35057485 PMCID: PMC8780085 DOI: 10.3390/nu14020305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 11/24/2021] [Accepted: 11/30/2021] [Indexed: 02/04/2023] Open
Abstract
Disturbances in eating behaviors have been widely related to obesity. However, little is known about the role of obesity-related biomarkers in shaping habitual patterns of eating behaviors (i.e., eating styles) in childhood. The objective of the present study was to explore the relationships between several biomarkers crucially involved in obesity (ghrelin, insulin resistance, and leptin/adiponectin ratio) and eating styles in children and adolescents with obesity. Seventy participants aged between 8 and 16 (56.2% men) fulfilled the Spanish version of the Dutch Eating Behavior Questionnaire for Children to measure external, emotional, and restrained eating styles. In addition, concentrations of ghrelin, leptin, adiponectin, insulin, and glucose were obtained through a blood test. Hierarchical multiple regression analyses controlling for age and sex were computed for each eating style. Results indicated that individuals with higher ghrelin concentration levels showed lower scores in restrained eating (β = -0.61, p < 0.001). The total model explained 32% of the variance of the restrained pattern. No other relationships between obesity-related biomarkers and eating behaviors were found. This study highlights that one of the obesity-risk factors, namely lower plasma ghrelin levels, is substantially involved in a well-known maladaptive eating style, restraint eating, in childhood obesity.
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Affiliation(s)
- Lorena Desdentado
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Polibienestar Research Institute, University of Valencia, Calle Serpis, 29, 46022 Valencia, Spain; (J.N.); (M.F.-A.); (J.N.-S.)
- Department of Personality, Evaluation, and Psychological Treatments, University of Valencia, Avda. Blasco Ibañez, 21, 46010 Valencia, Spain
| | - Jaime Navarrete
- Polibienestar Research Institute, University of Valencia, Calle Serpis, 29, 46022 Valencia, Spain; (J.N.); (M.F.-A.); (J.N.-S.)
| | - María Folgado-Alufre
- Polibienestar Research Institute, University of Valencia, Calle Serpis, 29, 46022 Valencia, Spain; (J.N.); (M.F.-A.); (J.N.-S.)
- Department of Personality, Evaluation, and Psychological Treatments, University of Valencia, Avda. Blasco Ibañez, 21, 46010 Valencia, Spain
| | - Ana de Blas
- Pediatric Department, Consorcio Hospital General Universitario de Valencia, Avda. Tres Cruces, 2, 46014 Valencia, Spain;
| | - Jéssica Navarro-Siurana
- Polibienestar Research Institute, University of Valencia, Calle Serpis, 29, 46022 Valencia, Spain; (J.N.); (M.F.-A.); (J.N.-S.)
| | - Francisco Ponce
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Pediatric Department, Consorcio Hospital General Universitario de Valencia, Avda. Tres Cruces, 2, 46014 Valencia, Spain;
| | - Guadalupe Molinari
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
| | - Andrea Jimeno-Martínez
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Facultad de Ciencias de la Salud, Instituto Agroalimentario de Aragón, Universidad de Zaragoza, Calle Miguel Servet, 177, 50013 Zaragoza, Spain
| | - Azahara I. Rupérez
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Facultad de Ciencias de la Salud, Instituto Agroalimentario de Aragón, Universidad de Zaragoza, Calle Miguel Servet, 177, 50013 Zaragoza, Spain
| | - Gloria Bueno-Lozano
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Facultad de Ciencias de la Salud, Instituto Agroalimentario de Aragón, Universidad de Zaragoza, Calle Miguel Servet, 177, 50013 Zaragoza, Spain
- Paediatric Endocrinology Department, Clinical Hospital Lozano Blesa, Zaragoza, Avda. San Juan Bosco, 50009 Zaragoza, Spain
| | - Aida Cuenca-Royo
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain
| | - Emili Corbella
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Cardiovascular Risk Unit, Internal Medicine Department, Bellvitge University Hospital—IDIBELL, Feixa Llarga, s/n, 08907 Barcelona, Spain
| | - Zaida Agüera
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Department of Public Health, Mental Health and Perinatal Nursing, Health Sciences Campus Bellvitge, School of Nursing, University of Barcelona, Feixa Llarga, s/n, 08907 Barcelona, Spain
| | - Rosa M. Baños
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Polibienestar Research Institute, University of Valencia, Calle Serpis, 29, 46022 Valencia, Spain; (J.N.); (M.F.-A.); (J.N.-S.)
- Department of Personality, Evaluation, and Psychological Treatments, University of Valencia, Avda. Blasco Ibañez, 21, 46010 Valencia, Spain
| | - Julio Álvarez-Pitti
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Pediatric Department, Consorcio Hospital General Universitario de Valencia, Avda. Tres Cruces, 2, 46014 Valencia, Spain;
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Abstract
Stress leads to detrimental health outcomes through direct biological and indirect behavioural changes. Stress can lead to disruption to normal eating behaviours, although the strength of these associations is unknown. This is the first meta-analysis to determine the strength of the stress-eating relationship in healthy adults and to explore the impact of potential moderators. Studies included had a clearly defined measure of stress (i.e., any noxious event or episode in one's environment with the exclusion of emotional distress) that was linked to non-disordered eating. Key terms were searched in Medline, PsycInfo and Ovid databases (23,104 studies identified). 54 studies (combined N = 119,820) were retained in the meta-analysis. A small, positive effect size was found for the stress-overall food intake relationship (Hedges' g = 0.114). Stress was associated with increased consumption of unhealthy foods (Hedges' g = 0.116) but decreased consumption of healthy foods (Hedges' g = -0.111). Only one significant moderator (restraint on stress-unhealthy eating) was identified. This meta-analysis identified the magnitude of the effect of stress on eating behaviour outcomes. Significant heterogeneity was observed that was not explained by the moderators examined. Further research on moderators of the stress-eating relationship is required and should distinguish effects for healthy versus unhealthy eating.
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Affiliation(s)
- Deborah Hill
- School of Psychology, University of Leeds, Leeds, LS2 9JT, UK
| | - Mark Conner
- School of Psychology, University of Leeds, Leeds, LS2 9JT, UK
| | - Faye Clancy
- School of Psychology, University of Leeds, Leeds, LS2 9JT, UK
| | - Rachael Moss
- School of Psychology, University of Leeds, Leeds, LS2 9JT, UK
| | - Sarah Wilding
- School of Psychology, University of Leeds, Leeds, LS2 9JT, UK
| | - Matt Bristow
- School of Psychology and Sports Science, Anglia Ruskin University, Cambridge, CB1 1PT, UK
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