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Muha J, Schumacher A, Campisi SC, Korczak DJ. Depression and emotional eating in children and adolescents: A systematic review and meta-analysis. Appetite 2024; 200:107511. [PMID: 38788931 DOI: 10.1016/j.appet.2024.107511] [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: 12/13/2023] [Revised: 04/24/2024] [Accepted: 05/22/2024] [Indexed: 05/26/2024]
Abstract
Major Depressive Disorder in youth is associated with obesity and adult cardiovascular disease (CVD) risk. Eating in response to emotions (emotional eating) is a potential contributing factor to this association. Although emotional eating is associated with Major Depressive Disorder in adults, findings in children and adolescents are mixed. This systematic review and meta-analysis aims to determine the association between depression and emotional eating in children and adolescents. Systematic searches were conducted in seven databases. Studies were included if the study population had a mean age of ≤18 years and assessed both depression and emotional eating using validated measures. The search generated 12,241 unique studies, of which 37 met inclusion criteria. Random-effects meta-analyses of study outcomes were performed. Thirty-seven studies (26,026 participants; mean age = 12.4 years, SD = 3.1) were included. The mean effect size was significant for both cross-sectional and longitudinal data (Hedges' g = 0.48, p < 0.0001; g = 0.37, p = 0.002, respectively), revealing a positive moderately strong association between depressive symptoms and emotional eating in youth. Among longitudinal studies, the association was stronger when depressive symptoms and emotional eating were assessed using child and adolescent self-report versus parent-report. No studies examined youth with a clinical diagnosis of depression. Meta-analyses revealed that depressive symptoms and emotional eating are positively associated in children and adolescents. However, further research in clinical samples is needed. Results raise the possibility for the importance of emotional eating in the link between depression and early CVD risk, though further examination is required to determine whether emotional eating is a potential treatment target to decrease CVD risk among adolescents with increased depression symptoms.
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Affiliation(s)
- Jessica Muha
- Neurosciences and Mental Health, Department of Psychiatry, The Hospital for Sick Children, Toronto, Canada; Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Anett Schumacher
- Neurosciences and Mental Health, Department of Psychiatry, The Hospital for Sick Children, Toronto, Canada
| | - Susan C Campisi
- Neurosciences and Mental Health, Department of Psychiatry, The Hospital for Sick Children, Toronto, Canada; Nutrition and Dietetics Program, Clinical Public Health Division, Dalla Lana School of Public Health, University of Toronto, Canada
| | - Daphne J Korczak
- Neurosciences and Mental Health, Department of Psychiatry, The Hospital for Sick Children, Toronto, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
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Liao T, Gao Y, Yang X, Tang Y, Wang B, Yang Q, Gao X, Tang Y, He K, Shen J, Bao S, Pan G, Zhu P, Tao F, Shao S. Preconception depression reduces fertility: a couple-based prospective preconception cohort. Hum Reprod Open 2024; 2024:hoae032. [PMID: 38840940 PMCID: PMC11150884 DOI: 10.1093/hropen/hoae032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 05/06/2024] [Indexed: 06/07/2024] Open
Abstract
STUDY QUESTION Is preconception depression associated with time to pregnancy (TTP) and infertility? SUMMARY ANSWER Couples with preconception depression needed a longer time to become pregnant and exhibited an increased risk of infertility. WHAT IS KNOWN ALREADY Preconception depression in women contributes to impaired fertility in clinical populations. However, evidence from the general population-especially based on couples-is relatively scant. STUDY DESIGN SIZE DURATION A couple-based prospective preconception cohort study was performed in 16 premarital examination centers between April 2019 and June 2021. The final analysis included 16 521 couples who tried to conceive for ≤6 months at enrollment. Patients with infertility were defined as those with a TTP ≥12 months and those who conceived through ART. PARTICIPANTS/MATERIALS SETTING METHODS Couples' depression was assessed using the Patient Health Questionnaire-9 at baseline. Reproductive outcomes were obtained via telephone at 6 and 12 months after enrollment. Fertility odds ratios (FORs) and infertility risk ratios (RRs) in different preconception depression groups were analyzed using the Cox proportional-hazard models and logistic regression, respectively. MAIN RESULTS AND THE ROLE OF CHANCE Of the 16 521 couples analyzed, 10 834 (65.6%) and 746 (4.5%) couples achieved pregnancy within the first 6 months and between the 6th and 12th months, respectively. The median (P25, P75) TTP was 3.0 (2.0, 6.0) months. The infertility rate was 13.01%. After adjusting for potential confounders, in the individual-specific analyses, we found that preconception depression in women was significantly related to reduced odds of fertility (FOR = 0.947, 95% CI: 0.908-0.988), and preconception depression in either men or women was associated with an increased risk of infertility (women: RR = 1.212, 95% CI: 1.076-1.366; men: RR = 1.214, 95% CI: 1.068-1.381); in the couple-based analyses, we found that-compared to couples where neither partner had depression-the couples where both partners had depression exhibited reduced fertility (adjusted FOR = 0.904, 95% CI: 0.838-0.975). The risk of infertility in the group where only the woman had depression and both partners had depression increased by 17.8% (RR = 1.178, 95% CI: 1.026-1.353) and 46.9% (RR = 1.469, 95% CI: 1.203-1.793), respectively. LIMITATIONS REASONS FOR CAUTION Reporting and recall bias were unavoidable in this large epidemiological study. Some residual confounding factors-such as the use of anti-depressants and other medications, sexual habits, and prior depressive and anxiety symptoms-remain unaddressed. We used a cut-off score of 5 to define depression, which is lower than prior studies. Finally, we assessed depression only at baseline, therefore we could not detect effects of temporal changes in depression on fertility. WIDER IMPLICATIONS OF THE FINDINGS This couple-based study indicated that preconception depression in individuals and couples negatively impacts couples' fertility. Early detection and intervention of depression to improve fertility should focus on both sexes. STUDY FUNDING/COMPETING INTERESTS This work was supported by grants from the National Natural Science Foundation of China (No. 82273638) and the National Key Research and Development Program of China (No. 2018YFC1004201). All authors declare no conflicts of interest. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- Tierong Liao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Yaya Gao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Xinliu Yang
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Yanlan Tang
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Baolin Wang
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People’s Republic of China, Anhui Medical University, Hefei, China
| | - Qianhui Yang
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People’s Republic of China, Anhui Medical University, Hefei, China
| | - Xin Gao
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People’s Republic of China, Anhui Medical University, Hefei, China
| | - Ying Tang
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People’s Republic of China, Anhui Medical University, Hefei, China
| | - Kunjing He
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Jing Shen
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Shuangshuang Bao
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People’s Republic of China, Anhui Medical University, Hefei, China
| | - Guixia Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Fangbiao Tao
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People’s Republic of China, Anhui Medical University, Hefei, China
| | - Shanshan Shao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
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Gardea-Resendez M, Winham SJ, Romo-Nava F, Cuellar-Barboza A, Clark MM, Andreazza AC, Cabello-Arreola A, Veldic M, Bond DJ, Singh B, Prieto ML, Nunez NA, Betcher H, Moore KM, Blom T, Colby C, Pendegraft RS, Kelpin SS, Ozerdem A, Miola A, De Filippis E, Biernacka JM, McElroy SL, Frye MA. Quantification of diet quality utilizing the rapid eating assessment for participants-shortened version in bipolar disorder: Implications for prospective depression and cardiometabolic studies. J Affect Disord 2022; 310:150-155. [PMID: 35545158 PMCID: PMC9721194 DOI: 10.1016/j.jad.2022.05.037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 05/05/2022] [Indexed: 01/01/2023]
Abstract
OBJECTIVES Recognizing bipolar disorder as a multi-system metabolic condition driven, in part, by binge eating behavior and atypical depressive symptoms, this study aimed to quantify diet quality and evaluate clinical correlates in a bipolar disorder cohort. METHODS Participants from the Mayo Clinic Bipolar Disorder Biobank (n = 734) completed the Rapid Eating Assessment for Participants - Shortened version (REAP-S) to determine diet quality. The average REAP-S score for a U.S. omnivorous diet is 32 (range 13 to 39) with higher scores indicating healthier diet. Demographic variables were collected in a standardized clinical questionnaire. Depressive symptoms were assessed by the Bipolar Inventory of Symptoms Scale. Cardiometabolic variables were retrieved from the electronic health record. Associations between continuous variables and REAP-S scores (total, 'healthy foods' and 'avoidance of unhealthy foods') were assessed using linear regression. RESULTS Overall, our sample had a mean REAP-S score of 27.6 (4.9), suggestive of a lower diet quality than the average general population in the US. There was a significant inverse relationship between mean REAP-S lower scores with increased BMI, waist circumference, disordered eating and depression. All these associations were significantly stronger in female participants. LIMITATIONS EHR cross-sectional data. CONCLUSIONS Our data suggest unhealthy diet quality in bipolar disorder is associated with depression, obesity and cardiometabolic abnormalities. Additional work is encouraged to prospectively track mood and diet quality to further understand the bidirectional relationship and clarify if dietary interventions can positively impact mood. Further delineating potential sex differences in diet quality and depression may provide greater appreciation of modifiable risk factors for future cardiometabolic burden.
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Affiliation(s)
| | - Stacey J. Winham
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Francisco Romo-Nava
- Lindner Center of HOPE/Department of Psychiatry and Behavioral Neurosciences, University of Cincinnati College of Medicine, Mason, OH, USA
| | | | - Matthew M. Clark
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Ana Cristina Andreazza
- Department of Pharmacology and Toxicology and Psychiatry, University of Toronto, Temerty Faculty of Medicine, Toronto, Canada
| | | | - Marin Veldic
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - David J. Bond
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Balwinder Singh
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Miguel L. Prieto
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA, Department of Psychiatry, Facultad de Medicina, Universidad de los Andes, Santiago, Chile, Mental Health Service, Clínica Universidad de los Andes, Santiago, Chile, Center for Biomedical Research and Innovation, Universidad de los Andes, Santiago, Chile
| | - Nicolas A. Nunez
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Hannah Betcher
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Thomas Blom
- Lindner Center of HOPE/Department of Psychiatry and Behavioral Neurosciences, University of Cincinnati College of Medicine, Mason, OH, USA
| | - Colin Colby
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | - Sydney S. Kelpin
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Aysegul Ozerdem
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Alessandro Miola
- Department of Neurosciences, Psychiatry Unit, University-Hospital of Padova, Padova, Italy
| | | | - Joanna M. Biernacka
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Susan L. McElroy
- Lindner Center of HOPE/Department of Psychiatry and Behavioral Neurosciences, University of Cincinnati College of Medicine, Mason, OH, USA
| | - Mark A. Frye
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA, Corresponding author at: Department of Psychiatry and Psychology, Mayo Clinic, 200 1st Street SW, Rochester, MN 55902, USA. (M.A. Frye)
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Thorsteinsdottir S, Olafsdottir AS, Brynjolfsdottir B, Bjarnason R, Njardvik U. Odds of fussy eating are greater among children with obesity and anxiety. Obes Sci Pract 2022; 8:91-100. [PMID: 35127125 PMCID: PMC8804926 DOI: 10.1002/osp4.548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 07/25/2021] [Accepted: 07/26/2021] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Fussy eating has been associated with autism spectrum disorder (ASD), attention-deficit/hyperactive disorder (ADHD), anxiety, and depression. Despite these disorders being prevalent in obesity treatment, no studies have been published on the association of fussy eating in children with obesity and these disorders. Understanding fussy eating in children with obesity and comorbid disorders is important as acceptance of healthy foods tends to be low, especially in children with sensory sensitivities. OBJECTIVES Investigate the prevalence of fussy eating in a cross-sectional sample of children with obesity and ASD, ADHD, anxiety, and depression; and whether they were more likely to be fussy eaters, comparing those with and without these disorders. METHODS One hundred and four children referred to family-based obesity treatment in Iceland 2011-2016, mean age 12.0 (SD = 3.0), mean body mass index standard deviation score 3.5 (SD = 0.9). Binary logistic regression was used to estimate the relationship between fussy eating and disorders, adjusting for medication use. RESULTS A large minority (41.6%) were fussy eaters and 48.9% had at least one comorbid disorder. Over a third of children rejected bitter and sour tastes, and 1.9% and 7.9% rejected sweet and salty tastes, respectively. Compared with those without disorders, the odds of being a fussy eater were increased by a factor of 4.11 when having anxiety (95% confidence intervals) (1.02-16.58, p = 00.046), adjusting for medication use. The odds of being a fussy eater were not increased for other disorders; ASD, ADHD, or depression. CONCLUSIONS In children attending obesity treatment, fussy eating was common. Clinical care models in pediatric obesity treatment should address fussy eating, especially in children with anxiety.
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Affiliation(s)
| | - Anna S. Olafsdottir
- Faculty of Health Promotion, Sport and Leisure StudiesUniversity of IcelandReykjavikIceland
| | | | - Ragnar Bjarnason
- Department of PediatricsLandspitali University HospitalReykjavikIceland
- Faculty of MedicineUniversity of IcelandReykjavikIceland
| | - Urdur Njardvik
- Faculty of PsychologyUniversity of IcelandReykjavikIceland
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