Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-28T11:38:06.310Z Has data issue: false hasContentIssue false

An eating pattern characterised by skipped or delayed breakfast is associated with mood disorders among an Australian adult cohort

Published online by Cambridge University Press:  16 October 2019

J. E. Wilson
Affiliation:
Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania7000, Australia
L. Blizzard
Affiliation:
Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania7000, Australia
S. L. Gall
Affiliation:
Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania7000, Australia
C. G. Magnussen
Affiliation:
Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania7000, Australia Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, FIN-20520, Finland
W. H. Oddy
Affiliation:
Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania7000, Australia
T. Dwyer
Affiliation:
The George Institute for Global Health, University of Oxford, Oxford, OX1 3QX, UK
K. Sanderson
Affiliation:
Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania7000, Australia School of Health Sciences, University of East Anglia, Norwich, NR4 7TJ, UK
A. J. Venn
Affiliation:
Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania7000, Australia
K. J. Smith*
Affiliation:
Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania7000, Australia
*
Author for correspondence: K. J. Smith, E-mail: [email protected]

Abstract

Background

Meal timing may influence food choices, neurobiology and psychological states. Our exploratory study examined if time-of-day eating patterns were associated with mood disorders among adults.

Methods

During 2004–2006 (age 26–36 years) and 2009–2011 (follow-up, age 31–41 years), N = 1304 participants reported 24-h food and beverage intake. Time-of-day eating patterns were derived by principal components analysis. At follow-up, the Composite International Diagnostic Interview measured lifetime mood disorder. Log binomial and adjacent categories log-link regression were used to examine bidirectional associations between eating patterns and mood disorder. Covariates included sex, age, marital status, social support, education, work schedule, body mass index and smoking.

Results

Three patterns were derived at each time-point: Grazing (intake spread across the day), Traditional (highest intakes reflected breakfast, lunch and dinner), and Late (skipped/delayed breakfast with higher evening intakes). Compared to those in the lowest third of the respective pattern at baseline and follow-up, during the 5-year follow-up, those in the highest third of the Late pattern at both time-points had a higher prevalence of mood disorder [prevalence ratio (PR) = 2.04; 95% confidence interval (CI) 1.20–3.48], and those in the highest third of the Traditional pattern at both time-points had a lower prevalence of first onset mood disorder (PR = 0.31; 95% CI 0.11–0.87). Participants who experienced a mood disorder during follow-up had a 1.07 higher relative risk of being in a higher Late pattern score category at follow-up than those without mood disorder (95% CI 1.00–1.14).

Conclusions

Non-traditional eating patterns, particularly skipped or delayed breakfast, may be associated with mood disorders.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Allison, KC, Ahima, RS, O'Reardon, JP, Dinges, DF, Sharma, V, Cummings, DE, Heo, M, Martino, NS and Stunkard, AJ (2005) Neuroendocrine profiles associated with energy intake, sleep, and stress in the night eating syndrome. The Journal of Clinical Endocrinology & Metabolism 90, 62146217.CrossRefGoogle ScholarPubMed
American Psychiatric Association (2000) Diagnostic and Statistical Manual of Mental Disorders, 4th Edn, text rev. Washington: American Psychiatric Association.Google Scholar
Antypa, N, Vogelzangs, N, Meesters, Y, Schoevers, R and Penninx, BW (2016) Chronotype associations with depression and anxiety disorders in a large cohort study. Depression and Anxiety 33, 7583.CrossRefGoogle Scholar
Asher, G and Sassone-Corsi, P (2015) Time for food: the intimate interplay between nutrition, metabolism, and the circadian clock. Cell 161, 8492.CrossRefGoogle ScholarPubMed
Au, J and Reece, J (2017) The relationship between chronotype and depressive symptoms: a meta-analysis. Journal of Affective Disorders 218, 93104.CrossRefGoogle ScholarPubMed
Begdache, L, Chaar, M, Sabounchi, N and Kianmehr, H (2017) Assessment of dietary factors, dietary practices and exercise on mental distress in young adults versus matured adults: a cross-sectional study. Nutritional Neuroscience. Available at https://www.tandfonline.com/doi/full/10.1080/1028415X.2017.1411875 (Accessed 10 January 2019).Google ScholarPubMed
Blizzard, CL, Quinn, SJ, Canary, JD and Hosmer, DW (2013) Log-link regression models for ordinal responses. Open Journal of Statistics 3, 1625.CrossRefGoogle Scholar
Cardi, V, Leppanen, J and Treasure, J (2015) The effects of negative and positive mood induction on eating behaviour: a meta-analysis of laboratory studies in the healthy population and eating and weight disorders. Neuroscience and Biobehavioral Reviews 57, 299309.CrossRefGoogle ScholarPubMed
Craig, CL, Marshall, AL, Sjöström, M, Bauman, AE, Booth, ML, Ainsworth, BE, Pratt, M, Ekelund, U, Yngve, A and Sallis, JF (2003) International physical activity questionnaire: 12-country reliability and validity. Medicine and Science in Sports and Exercise 35, 13811395.CrossRefGoogle ScholarPubMed
Drennan, MD, Klauber, MR, Kripke, DF and Goyette, LM (1991) The effects of depression and age on the Horne-Ostberg morningness-eveningness score. Journal of Affective Disorders 23, 9398.CrossRefGoogle ScholarPubMed
Farhangi, MA, Dehghan, P and Jahangiry, L (2018) Mental health problems in relation to eating behavior patterns, nutrient intakes and health related quality of life among Iranian female adolescents. PLoS ONE 13, e0195669.CrossRefGoogle Scholar
Fulkerson, JA, Sherwood, NE, Perry, CL, Neumark-Sztainer, D and Story, M (2004) Depressive symptoms and adolescent eating and health behaviors: a multifaceted view in a population-based sample. Preventive Medicine 38, 865875.CrossRefGoogle Scholar
Furihata, R, Konno, C, Suzuki, M, Takahashi, S, Kaneita, Y, Ohida, T and Uchiyama, M (2018) Unhealthy lifestyle factors and depressive symptoms: a Japanese general adult population survey. Journal of Affective Disorders 234, 156161.CrossRefGoogle ScholarPubMed
Gall, SL, Jose, K, Smith, K, Dwyer, T and Venn, A (2009) The Childhood Determinants of Adult Health Study: a profile of a cohort study to examine the childhood influences on adult cardiovascular health. Australasian Epidemiologist 16, 3539.Google Scholar
Gall, SL, Sanderson, K, Smith, KJ, Patton, G, Dwyer, T and Venn, A (2016) Bi-directional associations between healthy lifestyles and mood disorders in young adults: the Childhood Determinants of Adult Health Study. Psychological Medicine 46, 25352548.CrossRefGoogle ScholarPubMed
Gill, S and Panda, S (2015) A smartphone app reveals erratic diurnal eating patterns in humans that can be modulated for health benefits. Cell Metabolism 22, 789798.CrossRefGoogle ScholarPubMed
Greenland, S (1989) Modeling and variable selection in epidemiologic analysis. American Journal of Public Health 79, 340349.CrossRefGoogle ScholarPubMed
Henderson, S, Duncan-Jones, P, McAuley, H and Ritchie, K (1978) The patient's primary group. The British Journal of Psychiatry 132, 7486.CrossRefGoogle Scholar
Hidalgo, MP, Caumo, W, Posser, M, Coccaro, SB, Camozzato, AL and Chaves, MLF (2009) Relationship between depressive mood and chronotype in healthy subjects. Psychiatry and Clinical Neurosciences 63, 283290.CrossRefGoogle ScholarPubMed
Hodge, A, Patterson, AJ, Brown, WJ, Ireland, P and Giles, G (2000) The Anti Cancer Council of Victoria FFQ: relative validity of nutrient intakes compared with weighed food records in young to middle-aged women in a study of iron supplementation. Australian and New Zealand Journal of Public Health 24, 576583.CrossRefGoogle Scholar
Horikawa, C, Kodama, S, Yachi, Y, Heianza, Y, Hirasawa, R, Ibe, Y, Saito, K, Shimano, H, Yamada, N and Sone, H (2011) Skipping breakfast and prevalence of overweight and obesity in Asian and Pacific regions: a meta-analysis. Preventive Medicine 53, 260267.CrossRefGoogle ScholarPubMed
Huang, C, Momma, H, Cui, Y, Chujo, M, Otomo, A, Sugiyama, S, Ren, Z, Niu, K and Nagatomi, R (2017) Independent and combined relationship of habitual unhealthy eating behaviors with depressive symptoms: a prospective study. Journal of Epidemiology 27, 4247.CrossRefGoogle ScholarPubMed
Kim, S, DeRoo, LA and Sandler, DP (2011) Eating patterns and nutritional characteristics associated with sleep duration. Public Health Nutrition 14, 889895.CrossRefGoogle ScholarPubMed
Kluge, M, Schüssler, P, Dresler, M, Schmidt, D, Yassouridis, A, Uhr, M and Steiger, A (2011) Effects of ghrelin on psychopathology, sleep and secretion of cortisol and growth hormone in patients with major depression. Journal of Psychiatric Research 45, 421426.CrossRefGoogle ScholarPubMed
Kwak, Y and Kim, Y (2018) Association between mental health and meal patterns among elderly Koreans. Geriatrics and Gerontology International 18, 161168.CrossRefGoogle ScholarPubMed
Landis, JR and Koch, GG (1977) The measurement of observer agreement for categorical data. Biometrics 33, 159174.CrossRefGoogle ScholarPubMed
Lang, UE, Beglinger, C, Schweinfurth, N, Walter, M and Borgwardt, S (2015) Nutritional aspects of depression. Cellular Physiology and Biochemistry 37, 10291043.CrossRefGoogle ScholarPubMed
Lee, G, Han, K and Kim, H (2017a) Risk of mental health problems in adolescents skipping meals: the Korean National Health and Nutrition Examination Survey 2010 to 2012. Nursing Outlook 65, 411419.CrossRefGoogle Scholar
Lee, SA, Park, EC, Ju, YJ, Lee, TH, Han, E and Kim, TH (2017b) Breakfast consumption and depressive mood: a focus on socioeconomic status. Appetite 114, 313319.CrossRefGoogle Scholar
Leech, RM, Worsley, A, Timperio, A and McNaughton, SA (2015) Understanding meal patterns: definitions, methodology and impact on nutrient intake and diet quality. Nutrition Research Reviews 28, 121.CrossRefGoogle ScholarPubMed
Leech, RM, Timperio, A, Worsley, A and McNaughton, SA (2019) Eating patterns of Australian adults: associations with blood pressure and hypertension prevalence. European Journal of Nutrition 58, 18991909.CrossRefGoogle ScholarPubMed
Levandovski, R, Dantas, G, Fernandes, LC, Caumo, W, Torres, I, Roenneberg, T, Hidalgo, MPL and Allebrandt, KV (2011) Depression scores associate with chronotype and social jetlag in a rural population. Chronobiology International 28, 771778.CrossRefGoogle Scholar
Lien, L (2007) Is breakfast consumption related to mental distress and academic performance in adolescents? Public Health Nutrition 10, 422428.CrossRefGoogle ScholarPubMed
Lopresti, AL, Hood, SD and Drummond, PD (2013) A review of lifestyle factors that contribute to important pathways associated with major depression: diet, sleep and exercise. Journal of Affective Disorders 148, 1227.CrossRefGoogle ScholarPubMed
Lowden, A, Moreno, C, Holmbäck, U, Lennernäs, M and Tucker, P (2010) Eating and shift work – effects on habits, metabolism, and performance. Scandinavian Journal of Work, Environment and Health 36, 150162.CrossRefGoogle ScholarPubMed
Lutter, M, Sakata, I, Osborne-Lawrence, S, Rovinsky, SA, Anderson, JG, Jung, S, Birnbaum, S, Yanagisawa, M, Elmquist, JK, Nestler, EJ and Zigman, JM (2008) The orexigenic hormone ghrelin defends against depressive symptoms of chronic stress. Nature Neuroscience 11, 752.CrossRefGoogle ScholarPubMed
Mattson, MP (2005) Energy intake, meal frequency, and health: a neurobiological perspective*. Annual Review of Nutrition 25, 237260.CrossRefGoogle ScholarPubMed
McLennan, W and Podger, AS (1998) National Nutrition Survey Users’ Guide, 1995. Canberra: Australian Bureau of Statistics.Google Scholar
Meule, A, Roeser, K, Randler, C and Kübler, A (2012) Skipping breakfast: morningness-eveningness preference is differentially related to state and trait food cravings. Eating and Weight Disorders-Studies on Anorexia, Bulimia and Obesity 17, e304e308.Google ScholarPubMed
O'Sullivan, TA, Robinson, M, Kendall, GE, Miller, M, Jacoby, P, Silburn, SR and Oddy, WH (2009) A good-quality breakfast is associated with better mental health in adolescence. Public Health Nutrition 12, 249258.CrossRefGoogle ScholarPubMed
Poslusna, K, Ruprich, J, de Vries, JHM, Jakubikova, M and van't Veer, P (2009) Misreporting of energy and micronutrient intake estimated by food records and 24 h recalls, control and adjustment methods in practice. British Journal of Nutrition 101, S73S85.CrossRefGoogle Scholar
Roßbach, S, Diederichs, T, Nöthlings, U, Buyken, AE and Alexy, U (2018) Relevance of chronotype for eating patterns in adolescents. Chronobiology International 35, 336347.CrossRefGoogle ScholarPubMed
Seaman, SR, White, IR, Copas, AJ and Li, L (2012) Combining multiple imputation and inverse-probability weighting. Biometrics 68, 129137.CrossRefGoogle ScholarPubMed
Smith, AP (1998) Breakfast and mental health. International Journal of Food Sciences and Nutrition 49, 397402.CrossRefGoogle ScholarPubMed
Smith, KJ, Gall, SL, McNaughton, SA, Blizzard, L, Dwyer, T and Venn, AJ (2010) Skipping breakfast: longitudinal associations with cardiometabolic risk factors in the Childhood Determinants of Adult Health Study. American Journal of Clinical Nutrition 92, 13161325.CrossRefGoogle ScholarPubMed
Smith, KJ, Gall, SL, McNaughton, SA, Cleland, VJ, Otahal, P, Dwyer, T and Venn, AJ (2017) Lifestyle behaviours associated with 5-year weight gain in a prospective cohort of Australian adults aged 26–36 years at baseline. BMC Public Health 17, 54.CrossRefGoogle Scholar
Steel, Z, Marnane, C, Iranpour, C, Chey, T, Jackson, JW, Patel, V and Silove, D (2014) The global prevalence of common mental disorders: a systematic review and meta-analysis 1980–2013. International Journal of Epidemiology 43, 476493.CrossRefGoogle ScholarPubMed
Stunkard, AJ, Faith, MS and Allison, KC (2003) Depression and obesity. Biological Psychiatry 54, 330337.CrossRefGoogle ScholarPubMed
Szajewska, H and Ruszczynski, M (2010) Systematic review demonstrating that breakfast consumption influences body weight outcomes in children and adolescents in Europe. Critical Reviews in Food Science and Nutrition 50, 113119.CrossRefGoogle ScholarPubMed
Tahara, Y and Shibata, S (2013) Chronobiology and nutrition. Neuroscience 253, 7888.CrossRefGoogle ScholarPubMed
Wilson, JE, Blizzard, L, Gall, SL, Magnussen, CG, Oddy, WH, Dwyer, T, Venn, AJ and Smith, KJ (2019) An age-and sex-specific dietary guidelines index is a valid measure of diet quality in an Australian cohort during youth and adulthood. Nutrition Research 65, 4353.CrossRefGoogle Scholar
Witbracht, M, Keim, NL, Forester, S, Widaman, A and Laugero, K (2015) Female breakfast skippers display a disrupted cortisol rhythm and elevated blood pressure. Physiology and Behavior 140, 215221.CrossRefGoogle ScholarPubMed
Wittchen, HU (1994) Reliability and validity studies of the WHO-Composite International Diagnostic Interview (CIDI): a critical review. Journal of Psychiatric Research 28, 5784.CrossRefGoogle ScholarPubMed
Wittmann, M, Dinich, J, Merrow, M and Roenneberg, T (2006) Social jetlag: misalignment of biological and social time. Chronobiology International 23, 497509.CrossRefGoogle ScholarPubMed
World Health Organization (1997) Composite International Diagnostic Interview, CIDI-Auto 2.1: Administrator's Guide and Reference. Geneva: World Health Organization.Google Scholar
World Health Organization (2017) Depression and Other Common Mental Disorders: Global Health Estimates. Geneva: World Health Organization.Google Scholar
Supplementary material: PDF

Wilson et al. supplementary material

Wilson et al. supplementary material

Download Wilson et al. supplementary material(PDF)
PDF 287.2 KB