Advertisement
Research Research Paper| Volume 123, ISSUE 3, P417-426.e3, March 2023

Download started.

Ok

Meal Skipping and Shorter Meal Intervals Are Associated with Increased Risk of All-Cause and Cardiovascular Disease Mortality among US Adults

Published:August 10, 2022DOI:https://doi.org/10.1016/j.jand.2022.08.119

      Abstract

      Background

      Previous dietary studies and current dietary guidelines have mainly focused on dietary intake and food patterns. Little is known about the association between eating behaviors such as meal frequency, skipping and intervals, and mortality.

      Objective

      The objective was to examine the associations of meal frequency, skipping, and intervals with all-cause and cardiovascular disease (CVD) mortality.

      Design

      This was a prospective study.

      Participants/setting

      A total of 24,011 adults (aged ≥40 years) who participated in the National Health and Nutrition Examination Survey 1999-2014 were included in this study. Eating behaviors were assessed using 24-hour recall. Death and underlying causes of death were ascertained by linkage to death records through December 31, 2015.

      Main outcome measures

      The outcomes were all-cause and CVD mortality.

      Statistical analyses performed

      Multivariable Cox proportional hazards models were used to estimate adjusted hazard ratios (HRs) of all-cause and CVD mortality.

      Results

      During 185,398 person-years of follow-up period, 4,175 deaths occurred, including 878 cardiovascular deaths. Most participants ate three meals per day. Compared with participants eating three meals per day, the multivariable-adjusted HRs for participants eating one meal per day were 1.30 (95% CI 1.03 to 1.64) for all-cause mortality, and 1.83 (95% CI 1.26 to 2.65) for CVD mortality. Participants who skipped breakfast have multivariable-adjusted HRs 1.40 (95% CI 1.09 to 1.78) for CVD mortality compared with those who did not. The multivariable-adjusted HRs for all-cause mortality were 1.12 (95% CI 1.01 to 1.24) for skipping lunch and 1.16 (95% CI 1.02 to 1.32) for skipping dinner compared with those who did not. Among participants eating three meals per day, the multivariable-adjusted HR for participants with an average interval of ≤4.5 hours in two adjacent meals was 1.17 (95% CI 1.04 to 1.32) for all-cause mortality, comparing with those having a meal interval of 4.6 to 5.5 hours.

      Conclusions

      In this large, prospective study of US adults aged 40 years or older, eating one meal per day was associated with an increased risk of all-cause and CVD mortality. Skipping breakfast was associated with increased risk of CVD mortality, whereas skipping lunch or dinner was associated with increased risk of all-cause mortality. Among participant with three meals per day, a meal interval of ≤4.5 hours in two adjacent meals was associated with higher all-cause mortality.

      Keywords

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Journal of the Academy of Nutrition and Dietetics
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • St-Onge M.P.
        • Ard J.
        • Baskin M.L.
        • et al.
        Meal timing and frequency: implications for cardiovascular disease prevention: a Scientific Statement From the American Heart Association.
        Circulation. 2017; 135: E96-E121
        • Kant A.K.
        • Graubard B.I.
        40-year trends in meal and snack eating behaviors of American adults.
        J Acad Nutr Diet. 2015; 115: 50-63
        • US Depts of Agriculture and Health and Human Services
        Dietary Guidelines for Americans, 2020-2025.
        • Dietary Guidelines Advisory Committee
        Scientific Report of the 2020 Dietary Guidelines Advisory Committee: Advisory Report to the Secretary of Agriculture and the Secretary of Health and Human Services.
        • van der Heijden A.A.
        • Hu F.B.
        • Rimm E.B.
        • van Dam R.M.
        A prospective study of breakfast consumption and weight gain among U.S. men.
        Obesity (Silver Spring). 2007; 15: 2463-2469
        • Mekary R.A.
        • Giovannucci E.
        • Willett W.C.
        • van Dam R.M.
        • Hu F.B.
        Eating patterns and type 2 diabetes risk in men: breakfast omission, eating frequency, and snacking.
        Am J Clin Nutr. 2012; 95: 1182-1189
        • Ma Y.S.
        • Bertone E.R.
        • Stanek E.J.
        • et al.
        Association between eating patterns and obesity in a free-living US adult population.
        Am J Epidemiol. 2003; 158: 85-92
        • Cahill L.E.
        • Chiuve S.E.
        • Mekary R.A.
        • et al.
        Prospective study of breakfast eating and incident coronary heart disease in a cohort of male US health professionals.
        Circulation. 2013; 128: 337-343
        • Rong S.
        • Snetselaar L.G.
        • Xu G.F.
        • et al.
        Association of skipping breakfast with cardiovascular and all-cause mortality.
        J Am Coll Cardiol. 2019; 73: 2025-2032
        • Kubota Y.
        • Iso H.
        • Sawada N.
        • Tsugane S.
        • Group J.S.
        Association of breakfast intake with incident stroke and coronary heart disease: the Japan Public Health Center-Based Study.
        Stroke. 2016; 47: 477-481
        • Ahluwalia N.
        • Dwyer J.
        • Terry A.
        • Moshfegh A.
        • Johnson C.
        Update on NHANES dietary data: focus on collection, release, analytical considerations, and uses to inform public policy.
        Adv Nutr. 2016; 7: 121-134
        • Centers for Disease Control and Prevention, National Center for Health Statistics
        National Health and Nutrition Examination Survey.
        https://www.cdc.gov/nchs/nhanes/index.htm
        Date accessed: June 28, 2022
        • Szarka L.A.
        • Camilleri M.
        Gastric emptying.
        Clin Gastroenterol Hepatol. 2009; 7: 823-827
        • Centers for Disease Control and Prevention, National Center for Health Statistics
        Office of Analysis and Epidemiology. Public-use linked mortality file.
        2015
        • Centers for Disease Control and Prevention, National Center for Health Statistics
        International Classification of Diseases, Tenth Revision (ICD-10).
        https://www.cdc.gov/nchs/icd/icd10.htm
        Date accessed: June 22, 2022
      1. NHANES III Reference Manuals and Reports. Centers for Disease Control and Prevention, 1996
        • Johnson C.L.
        • Paulose-Ram R.
        • Ogden C.L.
        • et al.
        National Health and Nutrition Examination Survey: analytic guidelines, 1999-2010.
        Vital Health Stat 2. 2013; : 1-24
        • Centers for Disease Control and Prevention, National Center for Health Statistics
        Adult tobacco use information glossary.
        • World Health Organization
        Global recommendations on physical activity for health.
        (Accessed on June 21, 2022)
        • US Dept of Agriculture, Agricultural Research Service
        USDA Food and Nutrient Database for Dietary Studies.
        • US Dept of Agriculture, Agricultural Research Service
        Food Patterns Equivalents Database.
        • Guenther P.M.
        • Kirkpatrick S.I.
        • Reedy J.
        • et al.
        The Healthy Eating Index-2010 is a valid and reliable measure of diet quality according to the 2010 Dietary Guidelines for Americans.
        J Nutr. 2014; 144: 399-407
        • National Cancer Institute
        How to choose an analysis method dependent on purpose.
        • US Dept of Agriculture, Economic Research Service
        The U.S. Adult Food Security Survey Module.
        • Opsomer J.D.
        • Jensen H.H.
        • Pan S.
        An evaluation of the U.S. Department of Agriculture food security measure with generalized linear mixed models.
        J Nutr. 2003; 133: 421-427
        • CDC
        Defining adult overweight & obesity.
        • Menke A.
        • Casagrande S.
        • Geiss L.
        • Cowie C.C.
        Prevalence of and trends in diabetes among adults in the United States, 1988-2012.
        JAMA. 2015; 314: 1021-1029
        • Whelton P.K.
        • Carey R.M.
        • Aronow W.S.
        • et al.
        2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive summary: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.
        J Am Coll Cardiol. 2018; 71: 2273-2275
        • National Cholesterol Education Program
        Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report.
        Circulation. 2002; 106: 3143-3421
        • Ojo O.
        Nutrition and chronic conditions.
        Nutrients. 2019; 11: 459
        • Raghupathi W.
        • Raghupathi V.
        An empirical study of chronic diseases in the United States: a visual analytics approach.
        Int J Environ Res Public Health. 2018; 15: 431
      2. SAS/IML. Version 14.1. SAS Institute Inc, 2015
        • Chen H.J.
        • Wang Y.F.
        • Cheskin L.J.
        Relationship between frequency of eating and cardiovascular disease mortality in US adults: the NHANES III follow-up study.
        Ann Epidemiol. 2016; 26: 527-533
        • Titan S.M.O.
        • Bingham S.
        • Welch A.
        • et al.
        Frequency of eating and concentrations of serum cholesterol in the Norfolk population of the European prospective investigation into cancer (EPIC-Norfolk): cross sectional study.
        BMJ. 2001; 323: 1286-1288a
        • Abdollahi S.
        • Kazemi A.
        • de Souza R.J.
        • Clark C.C.T.
        • Soltani S.
        The effect of meal frequency on biochemical cardiometabolic factors: a systematic review and meta-analysis of randomized controlled trials.
        Clin Nutr (Edinburgh, Scotland). 2021; 40: 3170-3181
        • Vicari T.
        • van den Borne J.J.
        • Gerrits W.J.
        • Zbinden Y.
        • Blum J.W.
        Postprandial blood hormone and metabolite concentrations influenced by feeding frequency and feeding level in veal calves.
        Domest Anim Endocrinol. 2008; 34: 74-88
        • Chen H.
        • Zhang B.
        • Ge Y.
        • et al.
        Association between skipping breakfast and risk of cardiovascular disease and all cause mortality: a meta-analysis.
        Clin Nutr. 2020; 39: 2982-2988
        • Yamamoto R.
        • Tomi R.
        • Shinzawa M.
        • et al.
        Associations of skipping breakfast, lunch, and dinner with weight gain and overweight/obesity in university students: a retrospective cohort study.
        Nutrients. 2021; 13: 271
        • Zeballos E.
        • Todd J.E.
        The effects of skipping a meal on daily energy intake and diet quality.
        Public Health Nutr. 2020; 23: 3346-3355
        • Mendy V.L.
        • Vargas R.
        • Cannon-Smith G.
        • Payton M.
        • Enkhmaa B.
        • Zhang L.
        Food insecurity and cardiovascular disease risk factors among Mississippi adults.
        Int J Env Res Pub He. 2018; 15: 2016
        • Vercammen K.A.
        • Moran A.J.
        • McClain A.C.
        • Thorndike A.N.
        • Fulay A.P.
        • Rimm E.B.
        Food security and 10-year cardiovascular disease risk among U.S. adults.
        Am J Prev Med. 2019; 56: 689-697
        • Leidy H.J.
        • Campbell W.W.
        The effect of eating frequency on appetite control and food intake: brief synopsis of controlled feeding studies.
        J Nutr. 2011; 141: 154-157
        • Alhussain M.H.
        • Macdonald I.A.
        • Taylor M.A.
        Irregular meal-pattern effects on energy expenditure, metabolism, and appetite regulation: a randomized controlled trial in healthy normal-weight women.
        Am J Clin Nutr. 2016; 104: 21-32
        • Jovanovic A.
        • Gerrard J.
        • Taylor R.
        The second-meal phenomenon in type 2 diabetes.
        Diabetes Care. 2009; 32: 1199-1201
        • Liu C.
        • Xie B.
        • Chou C.P.
        • et al.
        Perceived stress, depression and food consumption frequency in the college students of China Seven Cities.
        Physiol Behav. 2007; 92: 748-754
        • Mikolajczyk R.T.
        • El Ansari W.
        • Maxwell A.E.
        Food consumption frequency and perceived stress and depressive symptoms among students in three European countries.
        Nutr J. 2009; 8: 31
        • Mattson M.P.
        Energy intake, meal frequency, and health: a neurobiological perspective.
        Annu Rev Nutr. 2005; 25: 237-260
        • Papadopoulos F.C.
        • Ekbom A.
        • Brandt L.
        • Ekselius L.
        Excess mortality, causes of death and prognostic factors in anorexia nervosa.
        Br J Psychiat. 2009; 194: 10-17

      Biography

      Y. Sun is an assistant professor, Department of Preventive Medicine, The University of Tennessee Health Science Center, Memphis; at the time of the study, she was a postdoctoral research scholar, Department of Epidemiology, College of Public Health, University of Iowa, Iowa City.

      Biography

      S. Rong is an associate professor, Department of Nutrition and Food Hygiene, School of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan, China.

      Biography

      B. Liu is a postdoctoral research scholar, Department of Epidemiology, College of Public Health, University of Iowa, Iowa City.

      Biography

      Y. Du is a PhD candidate, Department of Epidemiology, College of Public Health, University of Iowa, Iowa City.

      Biography

      Y. Wu isa PhD candidate, Department of Epidemiology, College of Public Health, University of Iowa, Iowa City.

      Biography

      L. Snetselaar is a professor and chair, Section of Preventive Nutrition Education, Department of Epidemiology, College of Public Health, University of Iowa, Iowa City.

      Biography

      R. Wallace is a professor and the Irene Ensminger Stecher Professorship in Cancer Research, Department of Epidemiology, College of Public Health, University of Iowa, Iowa City.

      Biography

      Q. Xiao is an assistant professor, Department of Health and Human Physiology, College of Liberal Arts and Sciences, University of Iowa, Iowa City.

      Biography

      L. Chen is a postdoctoral research scholar, Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

      Biography

      W. Bao is an assistant professor, Department of Epidemiology, College of Public Health, and a member, Obesity Research and Education Initiative and Fraternal Order of Eagles Diabetes Research Center, University of Iowa, Iowa City.