Table 4.
First author (year) | Country and study design | Sample | Aspect(s) of meal patterns examined | Measure(s) to assess diet and meal patterns | Meal or snack definition | Diet quality indicator(s) | Covariates | Selected key findings |
Azadbakht (2013)( 94 ) | Iran C/S | 411 women students, 18–28 years | Breakfast skipping | FFQ Meal patterns: not described | Time of-day* | HEI, DDS | Not clear if covariates were adjusted for in the multivariate ANOVA | HEI and DDS scores and diversity scores for fruits, vegetables and whole grains were significantly lower among breakfast skippers than consumers (P< 0·001) |
Deshmukh-Taskar (2010)( 23 ) | USA C/S | 2615 men and women, 20–39 years | Breakfast skipping | 1 × 24HR | Participant-identified* | HEI | Ethnicity, sex, sex × ethnicity, age, poverty income ratio, smoking status, marital status and PA | Breakfast skippers had significantly lower (P< 0·0001) HEI scores than those who consumed ready-to-eat breakfast cereals or other breakfast foods |
Dewolfe (2003)( 91 ) | Canada C/S | 84 men and 21 women, ≥ 65 years | Meal skipping and snacking | 3 × 24HR Meal patterns: Q | Participant-identified | Diet score based on compliance with national dietary guidelines | Preparing own meals, how well food tastes, prescription medication use, sex | Eating lunch daily was positively associated (standardised β = 0·24, 95 % CI 0·05, 0·42) with the diet score reflecting adherence to Canadian dietary guidelines |
Cahill (2013)( 28 ) | USA Prospective (16-year follow-up) | 29 209 health professional men, 40–75 years | Breakfast eating and late-night eating | FFQ† Meal patterns: Q | Time-of-day | AHEI-2010 | – | Based on age-standardised baseline data, no significant differences in AHEI scores were reported between breakfast consumers and non-breakfast consumers or late-night eaters and non-late-night eaters |
Kim (2011)( 88 ) | USA/Puerto Rico C/S | 27 983 women, 35–74 years | Snack dominance and conventional eating pattern | Modified block FFQ† Meal patterns: Q | Participant-identified* | HEI | – | A higher conventional eating score (eating meals and snacks during conventional times) was associated with higher HEI scores (P< 0·01) whereas a higher snack-dominant eating score was associated with lower HEI scores (P< 0·01) |
Mekary (2012)( 85 ) | USA Prospective (14-year follow-up) | 34 968 men, 40–75 years | Eating frequency | FFQ† Meal patterns: Q | Participant-identified | DASH score | – | Based on age-standardised baseline data, there was a positive association between eating frequency and the DASH score (r 0·14) |
Mekary (2013)( 86 ) | USA Prospective (6-year follow-up) | 46 289 women | Eating breakfast regularly and eating frequency | FFQ† Meal patterns: Q (two items) | Participant-identified* | AHEI-2010 | – | Based on age-standardised baseline data, women who ate breakfast ≤ 6 times/week had lower scores for the AHEI-2010 than regular breakfast consumers. Diet quality by eating frequency was not assessed |
Mesas (2012)( 93 ) | Spain C/S | 10 791 men and women, ≥ 18 years | Skipping breakfast | Diet history Q† Meal patterns: Q | Never eating anything at the breakfast occasion (meal definition could not be established) | MEDAS score; the OmniHeart diet score | Age, sex, education, social class, smoking, alcohol, binge drinking, PA at work, BMI and morbidity | No significant associations were found between skipping breakfast and either the MEDAS score or the OmniHeart diet score |
Odegaard (2013)( 87 ) | USA Prospective (follow-up: 18 years) | 3598 men and women, 18–30 years at baseline | Breakfast frequency | Diet history Q† Meal patterns: Q | No definition provided | A priori diet quality score (no specific name given) | – | Based on C/S data at the 7-year follow-up, higher levels of breakfast intakes were associated with higher diet quality scores |
Shatenstein (2013)( 92 ) | Canada C/S | 853 men and 940 women, 67–84 years | Meal frequency (snacks not included) | 3 × 24HR Meal patterns: Q | No definition provided | Canadian HEI | Sex-specific models. Inclusion of the following covariates depended on model: education, diet, income, alcohol, wears dentures, perceived physical health, eats in restaurants, nutrition knowledge, hunger, BMI, chewing problems | Among males and females, number of meals/d was positively associated with Canadian HEI scores (β = 1·91, P< 0·02 and β = 3·61, P< 0·0001, respectively) |
Smith (2010)( 22 ) | Australia Prospective | 1020 men and 1164 women, 9–15 years at baseline and 26–36 years at follow-up | Breakfast skipping | FFQ Meal patterns: Q (meal patterns chart) | Participant-identified and time-of-day | Compliance with dietary advice in the Australian Guide to Healthy Eating | – | Participants who skipped breakfast in both childhood and adulthood were less likely to meet recommendations for fruit, dairy products, lean meat and alternatives and takeout foods (P< 0·001) than those who did not skip breakfast at either time point |
Smith (2012)( 56 ) | Australia C/S | 1273 men and 1502 women, 26–36 years | Eating frequency | FFQ Meal patterns: Q (meal patterns chart) | Participant-identified | Diet score based on compliance with national dietary guidelines | Stratified by sex | There was a positive association (P< 0·001) between daily eating frequency and dietary scores, and meeting recommendations for fruit and dairy products among both men and women |
Smith (2013)( 90 ) | Australia C/S | 4123 women from low-SES areas, 18–45 years | Breakfast skipping | FFQ Meal patterns: Q (one item) | Participant-identified | DGI | – | Compared with women who ate breakfast < 1 d/week or 1–2 d/week, those who ate breakfast ≥ 3 d/week were more likely to be in the highest tertile for DGI scores |
Zizza (2012)( 89 ) | USA C/S | 11 209 adults ≥ 20 years | Snack frequency | 1 × 24HR | Participant-identified* | HEI-2005 | Sex, race or ethnicity, education, smoking status, PA, eating ≥ 3 meals/d, chronic diseases, age, BMI, energy from meals | Frequency of snacking was positively associated with HEI-2005 scores and intakes of whole fruit, whole grains, milk, oils and Na (all P< 0·001) but inversely associated with total vegetables (P= 0·009), solid fat and added sugars (P= 0·007) |
C/S, cross-sectional; HEI, Healthy Eating Index; DDS, dietary diversity score; 24HR, 24 h recall; PA, physical activity; Q, questionnaire; AHEI, Alternative Healthy Eating Index; DASH, Dietary Approaches to Stop Hypertension; MEDAS, Mediterranean Diet Adherence Score; OmniHeart, Optimal Macronutrient Intake Trial to Prevent Heart Disease; SES, socio-economic status; DGI, dietary guidelines index.
Beverages could explicitly qualify as a separate eating occasion.
Excluded individuals with implausible energy intakes.