Meal frequency but not snack frequency is associated with micronutrient intakes and overall diet quality in Australian men and women.

BACKGROUND: Skipping breakfast is associated with poorer diet quality among adults, but evidence of associations for other eating patterns [e.g., eating occasion (EO), meal, or snack frequency] is equivocal. An understanding of how eating patterns are associated with diet quality is needed to inform population-level dietary recommendations. OBJECTIVE: We aimed in this cross-sectional study to determine the relation between frequency of meals, snacks, and all EOs with nutrient intakes and diet quality in a representative sample of Australian adults. METHODS: Dietary data for 5242 adults aged ≥19 y collected via two 24-h recalls during the 2011-2012 National Nutrition and Physical Activity Survey were analyzed. EO, meal, and snack frequency was calculated. Adherence to recommendations for healthy eating was assessed with the use of the 2013 Dietary Guidelines Index (DGI) and its subcomponents. Linear regression, adjusted for covariates and energy misreporting, was used to examine associations between eating patterns, energy-adjusted nutrient intakes, and the DGI-2013. RESULTS: The frequency of meals, but not of snacks, was positively associated with micronutrient intakes, overall diet quality [men: β = 5.6 (95% CI: 3.9, 7.3); women: β = 4.1 (95% CI: 2.2, 5.9); P < 0.001], and DGI-2013 component scores for cereals, lean meat and alternatives, and alcohol intake (P < 0.05). A higher frequency of all EOs, meals, and snacks was positively associated with DGI-2013 scores for food variety, fruits, and dairy foods (P < 0.05). Conversely, a higher snack frequency was associated with a lower compliance with guidelines for discretionary foods and added sugars among men (P < 0.05). CONCLUSIONS: These findings suggest that meal frequency is an important determinant of nutrient intakes and diet quality in Australian adults. Inconsistent associations for snack frequency suggest that the quality of snack choices is variable. More research examining the dietary profiles of eating patterns and their relations with diet quality is needed to inform the development of meal-based guidelines and messages that encourage healthy eating.

Family food involvement and frequency of famiy dinner meals among Australian children aged 10-12 years. Cross-sectional and longitudinal associations with dietary patterns

Involvement in meal preparation and eating meals with the family are associated with better dietary patterns in adolescents, however little research has included older children or longitudinal study designs. This 3-year longitudinal study examines cross-sectional and longitudinal associations between family food involvement, family dinner meal frequency and dietary patterns during late childhood. Questionnaires were completed by parents of 188 children from Greater Melbourne, Australia at baseline in 2002 (mean age = 11.25 years) and at follow-up in 2006 (mean age = 14.16 years). Principal components analysis (PCA) was used to identify dietary patterns. Factor analysis (FA) was used to determine the principal factors from six indicators of family food involvement. Multiple linear regression models were used to predict the dietary patterns of children and adolescents at baseline and at follow-up, 3 years later, from baseline indicators of family food involvement and frequency of family dinner meals. PCA revealed two dietary patterns, labeled a healthful pattern and an energy-dense pattern. FA revealed one factor for family food involvement. Cross-sectionally among boys, family food involvement score (β = 0.55, 95% CI: 0.02, 1.07) and eating family dinner meals daily (β = 1.11, 95% CI: 0.27, 1.96) during late childhood were positively associated with the healthful pattern. Eating family dinner meals daily was inversely associated with the energy-dense pattern, cross-sectionally among boys (β = −0.56, 95% CI: −1.06, −0.06). No significant cross-sectional associations were found among girls and no significant longitudinal associations were found for either gender. Involvement in family food and eating dinner with the family during late childhood may have a positive influence on dietary patterns of boys. No evidence was found to suggest the effects on dietary patterns persist into adolescence.

Skipping breakfast : longitudinal associations with cardiometabolic risk factors in the childhood determinants of adult health study

Background: The long-term effects of skipping breakfast on cardiometabolic health are not well understood.

Objective: The objective was to examine longitudinal associations of breakfast skipping in childhood and adulthood with cardiometabolic risk factors in adulthood.

Design: In 1985, a national sample of 9–15-y-old Australian children reported whether they usually ate breakfast before school. During follow-up in 2004–2006, 2184 participants (26–36 y of age) completed a meal-frequency chart for the previous day. Skipping breakfast was defined as not eating between 0600 and 0900. Participants were classified into 4 groups: skipped breakfast in neither childhood nor adulthood (n = 1359), skipped breakfast only in childhood (n = 224), skipped breakfast only in adulthood (n = 515), and skipped breakfast in both childhood and adulthood (n = 86). Diet quality was assessed, waist circumference was measured, and blood samples were taken after a 12-h fast (n = 1730). Differences in mean waist circumference and blood glucose, insulin, and lipid concentrations were calculated by linear regression.

Results: After adjustment for age, sex, and sociodemographic and lifestyle factors, participants who skipped breakfast in both childhood and adulthood had a larger waist circumference (mean difference: 4.63 cm; 95% CI: 1.72, 7.53 cm) and higher fasting insulin (mean difference: 2.02 mU/L; 95% CI: 0.75, 3.29 mU/L), total cholesterol (mean difference: 0.40 mmol/L; 95% CI: 0.13, 0.68 mmol/L), and LDL cholesterol (mean difference: 0.40 mmol/L; 95% CI: 0.16, 0.64 mmol/L) concentrations than did those who ate breakfast at both time points. Additional adjustments for diet quality and waist circumference attenuated the associations with cardiometabolic variables, but the differences remained significant.

Conclusions: Skipping breakfast over a long period may have detrimental effects on cardiometabolic health. Promoting the benefits of eating breakfast could be a simple and important public health message.

Characterizing eating patterns: a comparison of eating occasion definitions

BACKGROUND: To date, many approaches have been used to define eating occasions (EOs). A standard definition for EOs is required to facilitate further research. OBJECTIVE: In this study, we examined the influence of differing definitions of EOs on the characterization of eating patterns. DESIGN: Cross-sectional dietary data from two 24-h recalls collected during the 2011-12 Australian National Nutrition and Physical Activity Survey (n = 5242 adults, aged ≥19 y) were analyzed. Eight definitions were applied: participant-identified, time-of-day, and 6 neutral definitions (individual EOs separated by different time intervals and/or an additional energy criterion of 210 kJ). Frequency of and total energy intake from meals, snacks, and all EOs were estimated, as appropriate. Differences were tested by using F tests, stratified by sex and age group. Agreement between different definitions of meal and snack frequencies was assessed by using intraclass correlation coefficients (ICCs). For each definition, linear regression was used to estimate the proportion of variance in total energy intake (kJ) and amount of food intake (g) predicted by frequency of EOs and meals and snacks. RESULTS: Among both sexes and across all age groups, mean frequencies of meals differed between the participant-identified and time-of-day definitions (mean difference range = 0.1-0.3; P < 0.001). There were statistically significant differences between mean frequencies of EOs across the 6 neutral definitions (P < 0.001). There was good agreement for snacks (men: ICC = 0.89; women: ICC = 0.87) but not meal frequencies (men: ICC = 0.38; women: ICC = 0.36) between the participant-identified and time-of-day definitions. The neutral definition (15-min time interval plus energy criterion) best predicted variance in total energy intake (R(2) range = 19.3-27.8). CONCLUSIONS: Different approaches to the definition of EOs affect how eating patterns are characterized, with the neutral definition best predicting variance in total energy intake. Further research that examines how different EO definitions affect associations with health outcomes is needed to develop consensus on a standard EO definition.

Validity of short food questionnaire items to measure intake in children and adolescents: a systematic review

BACKGROUND: Short food questions are appealing to measure dietary intakes. METHODS: A review of studies published between 2004 and 2016 was undertaken and these were included in the present study if they reported on a question or short item questionnaire (≤50 items, data presented as ≤30 food groups) measuring food intake or food-related habits, in children (aged 6 months to 18 years), and reported question validity or reliability. Thirty studies met the inclusion criteria. RESULTS: Most questions assessed foods or food groups (n = 29), with the most commonly assessed being fruit (n = 22) or vegetable intake (n = 23), dairy foods and discretionary foods (n = 20 studies each). Four studies assessed food habits, with the most common being breakfast and meal frequency (n = 4 studies). Twenty studies assessed reliability, and 25 studies determined accuracy and were most commonly compared against food records. Evaluation of question performance relied on statistical tests such as correlation. CONCLUSIONS: The present study has identified valid and reliable questions for the range of key food groups of interest to public health nutrition. Questions were more likely to be reliable than accurate, and relatively few questions were both reliable and accurate. Gaps in repeatable and valid short food questions have been identified that will provide direction for future tool development.

Maternal and best friends' influences on meal-skipping behaviours

Skipping meals is particularly common during adolescence and can have a detrimental effect on multiple aspects of adolescent health. Understanding the correlates of meal-skipping behaviours is important for the design of nutrition interventions. The present study examined maternal and best friends’ influences on adolescent meal-skipping behaviours. Frequency of skipping breakfast, lunch and dinner was assessed using a Web-based survey completed by 3001 adolescent boys and girls from years 7 and 9 of secondary schools in Victoria, Australia. Perceived best friend and maternal meal skipping, modelling of healthy eating (eating healthy food, limiting junk food, eating fruit and vegetables) and weight watching were assessed. Best friend and maternal factors were differentially associated with meal-skipping behaviours. For example, boys and girls who perceived that their best friend often skipped meals were more likely to skip lunch (OR ¼ 2·01, 95% CI 1·33, 3·04 and OR ¼ 1·93, 95% CI 1·41, 2·65; P,0·001). Boys and girls who perceived that their mother often skipped meals were more likely to skip breakfast (OR ¼ 1·48, 95% CI 1·01, 2·15; P,0·05 and OR ¼ 1·93, 95% CI 1·42, 2·59; P,0·001) and lunch (OR ¼ 2·05, 95% CI 1·35, 3·12 and OR ¼ 2·02, 95% CI 1·43, 2·86; P,0·001). Educating adolescents on how to assess and interpret unhealthy eating behaviours that they observe from significant others may be one nutrition promotion strategy to reduce meal-skipping behaviour. The involvement of mothers may be particularly important in such efforts. Encouraging a peer subculture that promotes regular consumption of meals and educates adolescents on the detrimental impact of meal-skipping behaviour on health may also offer a promising nutrition promotion strategy.

Daily eating frequency and cardiometabolic risk factors in young Australian adults : cross-sectional analyses

Eating frequency may be important in the development of overweight and obesity and other cardiometabolic risk factors; however, the evidence is inconsistent. The aim of the present study was to examine the associations between the number of eating occasions and cardiometabolic risk factors in a national population-based sample of young adults. A cohort of 1273 men and 1502 women, aged 26–36 years, completed a meal pattern chart to record when they had eaten during the previous day (in hourly intervals). The total number of eating occasions was calculated. Diet quality was assessed, waist circumference was measured and a fasting blood sample was taken. Dietary intake was compared with the Australian Guide to Healthy Eating. The associations between the number of eating occasions and cardiometabolic risk factors were calculated using linear regression. Analyses were adjusted for age, education and physical activity. Most men ate three to five times per d and most women ate four to six times. The proportion of participants meeting dietary recommendations increased with the number of eating occasions. For men, an additional eating occasion was associated with reductions in mean values for waist circumference ( − 0·75 cm), fasting glucose ( − 0·02 mmol/l), fasting insulin ( − 0·34 mU/l; 2·04 pmol/l), TAG ( − 0·03 mmol/l), total cholesterol ( − 0·08 mmol/l) and LDL-cholesterol ( − 0·06 mmol/l). Adjustment for waist circumference attenuated the results. Significant trends were not observed for women. In conclusion, a higher number of eating occasions were associated with reduced cardiometabolic risk factors in men. Many associations were mediated by waist circumference.