Snacking is associated with overall diet quality among adults

The association between diet quality and chrononutritional patterns in young adults

PURPOSE

Young adults eat erratically and later in the day which may impact weight and cardiometabolic health. This cross-sectional study examined relationships between chrononutritional patterns and diet quality in two young adult populations: a university and community sample.

METHODS

Three days of dietary data were collected including food images captured using wearable cameras. Chrononutritional variables were extracted: time of first and last eating occasions, caloric midpoint (time at which 50% of daily energy was consumed), number of eating occasions per day, eating window, day-to-day variability of the above metrics, and evening eating (≥20:00h). The Healthy Eating Index for Australian Adults scored diet quality. Statistical analyses controlled for gender, body mass index, and socio-economic status.

RESULTS

No significant associations between chrononutritional patterns and diet quality were found for all participants (n = 95). However, differences in diet quality were found between university (n = 54) and community (n = 41) samples with average diet quality scores of 59.1 (SD 9.7) and 47.3 (SD 14.4), respectively. Of those who extended eating ≥20:00 h, university participants had better diet quality (62.9±SE 2.5 vs. 44.3±SE 2.3, p < 0.001) and discretionary scores (7.9±SE 0.9 vs. 1.6±SE 0.6, p < 0.001) than community participants. University participants consumed predominately healthful dinners and fruit ≥20:00h whereas community participants consumed predominately discretionary foods.

CONCLUSION

For the general young adult population, meal timing needs to be considered. Food choices made by this cohort may be poorer during evenings when the desire for energy-dense nutrient-poor foods is stronger. However, meal timing may be less relevant for young adults who already engage in healthy dietary patterns.

Effect of using the snackability app on snack quality among US college students with overweight and obesity: A randomized controlled trial

OBJECTIVE

To determine if using the Snackability app improves snack intake among college students.

PARTICIPANTS

US college students with overweight/obesity were recruited in June 2020-April 2021.

METHODS

A randomized controlled trial was conducted to test the Snackability app use for 12 wk on snack scores (calculated from the app) compared to controls. We also explored the effect on diet quality (Healthy Eating Index-2015) and weight. Outcomes were compared between the intervention and the control groups at 4, 8, and 12 wk using repeated measures ANOVA.

RESULTS

Participants in the app group significantly increased snack score at week 4 (p < 0.001) and week 8 (p = 0.015) and increased HEI-2020 score (p < 0.001) at week 4 compared to controls. The first 4 wk had the highest app usage. No significant differences were seen in body weight.

CONCLUSIONS

The Snackability app can be used as a tool to help improve snack and diet quality in this group.

The effect of discretionary snack consumption on overall energy intake, weight status, and diet quality: A systematic review

The consumption frequency and portion size of discretionary snacks are thought to contribute to a greater food intake and risk of overweight or obesity in the developed world but evidence from epidemiological studies is inconclusive. To investigate this, we systematically evaluated evidence on the effects of discretionary snack consumption on weight status, energy intake, and diet quality. Articles involving discretionary snacks reported against the outcome measures of any primary, peer-reviewed study using human participants from free-living conditions for all age groups were included. A total of 14,780 titles were identified and 40 eligible publications were identified. Three key outcomes were reported: weight status (n = 35), energy intake (n = 11), and diet quality (n = 3). Increased discretionary snack consumption may contribute modestly to energy intake, however, there is a lack of consistent associations with increased weight/BMI. Although cross-sectional analyses offered conflicting findings, longitudinal studies in adults showed a consistent positive relationship between discretionary snack intake and increasing weight or body mass index. Given that experimental findings suggest reducing the size of discretionary snacks could lead to decreased consumption and subsequent energy intake, food policy makers and manufacturers may find it valuable to consider altering the portion and/or packaging size of discretionary snacks.

Snack quality and snack timing are associated with cardiometabolic blood markers: the ZOE PREDICT study

BACKGROUND

Snacking is a common diet behaviour which accounts for a large proportion of daily energy intake, making it a key determinant of diet quality. However, the relationship between snacking frequency, quality and timing with cardiometabolic health remains unclear.

DESIGN

Demography, diet, health (fasting and postprandial cardiometabolic blood and anthropometrics markers) and stool metagenomics data were assessed in the UK PREDICT 1 cohort (N = 1002) (NCT03479866). Snacks (foods or drinks consumed between main meals) were self-reported (weighed records) across 2-4 days. Average snacking frequency and quality [snack diet index (SDI)] were determined (N = 854 after exclusions). Associations between snacking frequency, quality and timing with cardiometabolic blood and anthropometric markers were assessed using regression models (adjusted for age, sex, BMI, education, physical activity level and main meal quality).

RESULTS

Participants were aged (mean, SD) 46.1 ± 11.9 years, had a mean BMI of 25.6 ± 4.88 kg/m2 and were predominantly female (73%). 95% of participants were snackers (≥ 1 snack/day; n = 813); mean daily snack intake was 2.28 snacks/day (24 ± 16% of daily calories; 203 ± 170 kcal); and 44% of participants were discordant for meal and snack quality. In snackers, overall snacking frequency and quantity of snack energy were not associated with cardiometabolic risk markers. However, lower snack quality (SDI range 1-11) was associated with higher blood markers, including elevated fasting triglycerides (TG (mmol/L) β; - 0.02, P = 0.02), postprandial TGs (6hiAUC (mmol/L.s); β; - 400, P = 0.01), fasting insulin (mIU/L) (β; - 0.15, P = 0.04), insulin resistance (HOMA-IR; β; - 0.04, P = 0.04) and hunger (scale 0-100) (β; - 0.52, P = 0.02) (P values non-significant after multiple testing adjustments). Late-evening snacking (≥ 9 pm; 31%) was associated with lower blood markers (HbA1c; 5.54 ± 0.42% vs 5.46 ± 0.28%, glucose 2hiAUC; 8212 ± 5559 vs 7321 ± 4928 mmol/L.s, P = 0.01 and TG 6hiAUC; 11,638 ± 8166 vs 9781 ± 6997 mmol/L.s, P = 0.01) compared to all other snacking times (HbA1c remained significant after multiple testing).

CONCLUSION

Snack quality and timing of consumption are simple diet features which may be targeted to improve diet quality, with potential health benefits.

CLINICAL TRIAL REGISTRY NUMBER AND WEBSITE

NCT03479866, https://clinicaltrials.gov/ct2/show/NCT03479866?term=NCT03479866&draw=2&rank=1.

Snacking Behaviours of Australian Young Adults: Secondary Analysis of the MYMeals Cross-Sectional Study

Snacking outside main meals may contribute to the high intakes of discretionary foods (i.e., unhealthful foods) among young adults. This study assessed the snacking behaviours of Australian young adults including the contribution of snacking to energy and nutrient intakes, the main foods consumed, and portion sizes. A secondary analysis of the MYMeals study of adults aged 18-30 years who consumed at least one snack food during the recording period (n = 889) was conducted. All food consumed over 3 consecutive days was recorded using a purpose-designed smartphone app. Snack foods contributed 13.2% of energy, 23.4% of total sugars, and 16.2% of saturated fat. Females consumed more energy (13.8% vs. 12.2%, p = 0.007) and total sugars (25.8% vs. 20.8%, p = 0.009), from snacking than males. Fruit (20.2%), chocolate (9.9%), cake-type desserts (8.4%), sweet biscuits (6.1%), and ice-cream-type desserts (5.6%) were the most frequently consumed snacks by young adults. The median portion sizes for the top five snack foods consumed were fruit-106 g (IQR: 73), chocolate-26 g (IQR: 36), cake-95 g (IQR: 88), sweet biscuits-26 g (IQR: 29), and ice cream-75 g (IQR: 42). The current findings may inform population-wide strategies to encourage healthful snacks such as fruit, inform portion control by individuals, and persuade the food industry to reduce the serving size of discretionary snack foods such as cake.

Food and Nutrient Intake in Children and Adolescents with or without Overweight/Obesity

OBJECTIVE

To explore the food and nutrient characteristics of children and adolescents with or without overweight/obesity and to provide scientific basis for the development of prevention strategies on overweight/obesity.

METHODS

This study included children and adolescents aged 6-17 years who participated in provincial nutrition surveillance which included 90 counties (cities and districts) in Zhejiang Province with a provincial representative. Food consumption was assessed using three consecutive days of 24 h dietary recall, and nutrient intake was calculated using dietary recall in conjunction with the China Food Composition Table. Overweight/obesity was also investigated. Associations were evaluated using ordinal regression models.

RESULTS

The analysis included a total of 1827 children and adolescents. The overweight prevalence was 14.0% and the obesity prevalence was 10.1%. Children and adolescents with overweight/obesity were observed to have a higher intake of carbohydrates, iron, sodium, potassium, and magnesium (F = 3.464, 5.232, 5.619, 3.469, 3.934, p < 0.05), as well as having a higher intake of the food group of cereals, tubers and beans, snacks, and salt (F = 7.348, 6.797, 3.413, p < 0.05) compared to children and adolescents without overweight/obesity. After adjusting for potential confounders via ordinal regression models, children and adolescents with overweight/obesity were observed to have a higher intake of carbohydrates (Wald χ2 = 4.325, p < 0.05). There were significant differences concerning the daily energy provided by snacks, the daily carbohydrate intake provided by snacks, the daily sodium intake provided by snacks, and the proportion of snacks to the food group of cereals, tubers, and beans (F = 8.305 6.316, 13.955, 3.692, p < 0.05).

CONCLUSION

Children and adolescents with overweight/obesity have presented a high consumption of carbohydrates, which is associated with the food group of cereals, tubers, and beans. Snacks are the main factor leading to the high intake of the food group of cereals, tubers, and beans among children and adolescents with overweight/obesity.

Snacking behavior is associated with snack quality, overall diet quality, and body weight among US college students

Snacking behavior may affect snack quality, overall diet quality, and body weight; however, the associations between these variables have not been studied among college students. The objective of this study was to associate snacking behaviors with snack quality, diet quality, and weight status among college students with overweight and obesity. We hypothesized that a higher snacking frequency, accessibility and availability of unhealthy snacks, and lack of knowledge would be associated with lower snack and diet quality, and higher weight. Participants (n = 140) completed a snack behavior questionnaire, three 24-hour dietary recalls to assess diet quality using Healthy Eating Index 2015 (HEI-2015), and snack score using an algorithm based on the US DA Smart Snack guidelines and reported weight and height to calculate body mass index (BMI). Analysis of variance and Pearson correlation was used in the analyses. After adjusting for confounders, snack frequency was not associated with snack score, HEI-2015 score, or BMI, but evening snacks had a significantly lower snack score compared with late afternoon snacks (P = .017). Also, those with more accessibility and availability of unhealthy snacks had a lower snack score (P = .001), lower HEI-2015 score (P = .006), and higher BMI (P = .019). Snacking for pleasure was significantly associated with a lower snack score (P = .037). Snack score was positively correlated with HEI-2015 score but not with BMI. In conclusion, late snacking, unhealthy snack environment, and snacking for pleasure were associated with lower snack and diet quality. These findings could be used in future intervention strategies to improve snacking behaviors and the food environment.

Nuts, Energy Balance and Body Weight

Over several decades, the health benefits of consuming nuts have been investigated, resulting in a large body of evidence that nuts can reduce the risk of chronic diseases. The consumption of nuts, being a higher-fat plant food, is restricted by some in order to minimize weight gain. In this review, we discuss several factors related to energy intake from nuts, including food matrix and its impact on digestibility, and the role of nuts in regulating appetite. We review the data from randomized controlled trials and observational studies conducted to examine the relationship between nut intake and body weight or body mass index. Consistently, the evidence from RCTs and observational cohorts indicates that higher nut consumption does not cause greater weight gain; rather, nuts may be beneficial for weight control and prevention of long-term weight gain. Multiple mechanisms likely contribute to these findings, including aspects of nut composition which affect nutrient and energy availability as well as satiety signaling.

Association of daily nutrient intake with breakfast and snack consumption among young Japanese adults aged 20-39 years: data from the 2012 National Health and Nutrition Survey

Eating frequency has been associated with nutrient intake and diet quality. The aim of this study was to examine the association between daily nutrient and food group intake and consumption of breakfast and/or snacks among young Japanese adults, as secondary analysis of the 2012 National Health and Nutrition Survey in Japan involved 1420 men and 1659 women aged 20-39 years. Dietary intake data were collected using a one-day semi-weighed household dietary record. Participants were classified into four groups based their breakfast and snack consumption, defined as the consumption of any food or beverage that contained energy based on participant-defined eating occasions; both breakfast and snack consumption (B+S+), breakfast consumption without snacking (B+S-), breakfast skipping and snack consumption (B-S+) and breakfast skipping without snacking (B-S-). The proportion of breakfast skippers among men and women was 11·8 % and 6·6 %, whereas that of snack consumers among men and women was 55·3 % and 68·2 %, respectively. Energy, Mg potassium (in both sexes), vitamin B2, Ca, (only men) and folate and dietary fibre (only women) intakes were higher among breakfast and snack consumers than in the B+S- group. The nutrient intake level of the B+S- group was similar to that of the B-S+ group, whereas the B-S- group had lower energy (both sexes), Cu, dietary fibre and potassium (only women) intakes than the B+S- group. Snack consumption could supplement nutrients that may not be adequately consumed by three meals among young Japanese adults.

Effects of fresh mango consumption on cardiometabolic risk factors in overweight and obese adults

BACKGROUND & AIMS

In vitro and animal studies show antidiabetic, anti-inflammatory, and cardioprotective properties of mangos. The objective of this study was to examine the effects of fresh mango consumption compared to an isocaloric control snack on body weight, glucose, insulin, lipid profiles, liver function enzymes, inflammation, and antioxidant activity in overweight and obese adults (BMI ≥26 kg/m²).

METHODS AND RESULTS

In a crossover design, 27 participants consumed 100 kcal/d of fresh mangos or isocaloric low-fat cookies daily for 12 weeks each, separated by a four-week washout period. Blood glucose, C-reactive protein (CRP), and aspartate transaminase activity significantly decreased while total antioxidant capacity significantly increased following mango consumption. There were no significant changes in body weight, body fat %, blood pressure, insulin, or lipid profile following mango consumption. Cookie consumption significantly increased body weight, insulin, CRP, and triglycerides.

CONCLUSION

These results suggest that relative to the control snack, mangos may improve certain risk factors associated with overweight and obesity including improved glycemic control and reduced inflammation.

CLINICAL TRIALS REGISTER

NCT03957928.

Sensory-Enhanced, Fortified Snacks for Improved Nutritional Intake Among Nursing Home Residents

The present study aimed to determine if providing sensory-enhanced, fortified snacks changed nutrient consumption among nursing home residents. Nursing home residents were provided typical facility snacks or sensory-enhanced, fortified snacks across two separate 8-week time blocks. The enhanced snack supplements included quick-dissolving (transitional-state) crisps, puree dips, and dry soup blends that are intended to be accessible for individuals with a wide range of masticatory and swallowing abilities (e.g., oral frailty). Snacks were weighed before and after sessions using a food scale. Calories, fat, carbohydrates, protein, sodium, sugar, and fiber consumed were calculated daily. Despite consuming a smaller percentage of snack weight, participants consumed increased protein and fat, and fewer carbohydrates and sugar in the enhanced snack condition, with no significant difference in caloric intake. Sensory-enhanced, fortified snacks may be viable options for increasing the quality of nutritional intake among nursing home residents, particularly in light of decreased quantity of intake.

A Progressive Nutrient Profiling System to Guide Improvements in Nutrient Density of Foods and Beverages

Improving the nutrient density of processed foods is one way to bring the global food supply closer to the WHO Sustainable Development Goals. Nutrient profiling (NP) has emerged as the preferred method of monitoring the progress toward product innovation and reformulation. This paper presents PepsiCo Nutrition Criteria (PNC), a new internal NP model that was designed to guide and monitor improvements in nutrient density and overall nutritional quality of foods and beverages. The new PNC NP model assigns food products into four classes of increasing nutritional value, based on the content of nutrients to limit, along with nutrients and ingredients to encourage. The nutrient standards used for category assignment followed those developed by global dietary authorities. Standards are proposed for calories, sodium, added sugars, saturated, and industrially produced trans fats. Also included are minimum values for food groups to encourage, low-fat dairy, and for country-specific gap nutrients. Internal use of the NP model has spurred product changes that are consistent with WHO goals for industry transparency. An audited review of company products showed that 48% met added sugar, 65% met sodium, and 71% met saturated fat goals. By the end of 2020, in the top 26 regions in which products are sold, 48% of the total sales volume of global beverages had 100 kcal or less from added sugars per 355 ml serving representing 80% of beverage volume and over 90% of food volume sold globally. The PNC NP model is not consumer-facing but is specifically intended for internal use to motivate stepwise and incremental product innovation and reformulation. Transparent and published NP models further WHO goals of engaging industry stakeholders in the (re)formulation of processed foods and beverages consistent with public health goals.

The consumption of energy dense snacks and some contextual factors of snacking may contribute to higher energy intake and body weight in adults

Preventing obesity (OB) among adults is a public health priority. One factor that seems to contribute to OB, due to the extra energy intake it involves, is the greater consumption of snacks. Whether snacking promotes OB in adults is however a source of controversy in the literature at present. The aim of this paper was to evaluate the effects of snacking on body weight status, along with contextual factors such as snacking location, food source, timing, and social context of snacking. To better understand the nature of snacking behavior, seven currently used definitions of snacking were described. Studies published prior to November 2020 were identified by searching the PubMed and Scopus databases, with thirty-three observational studies being identified and included. The consumption of energy-dense snacks may contribute to higher energy intake and weight in adult populations. The context in which adults snacks-such as eating alone, outside home or work, late in the day, in front of a TV or computer-is also important for this behavior. However, the lack of consensus on the definition of snacks in the literature makes these considerations suggestive rather than objective. Better-designed research is needed to determine the prospective association between snacking behavior and weight status in adults. Snacking may be an important behavior that can be modified to prevent obesity on the population level. Social education focused on promoting morning snacks and replacing energy-dense snacks by more nutritious ones, e.g. fruit and vegetables, may thus be beneficial.

Snacking patterns throughout the life span: potential implications on health

Eating outside the three main meals - in other words, snacking - is a part of the dietary pattern of individuals in all stages of life. The quality and pattern of snacking have an impact on health during the life span. Thus, the aim of this review was to evaluate various patterns and health outcomes of the snacking habits of different demographical groups, from children to the elderly, throughout their life span. We discuss the snacking pattern among children and adolescents, which is characterized by consuming high energy foods with low nutrient value, and which is associated with increased risk of obesity. During university years, study stress and lack of time were obstacles to a healthy dietary pattern involving nutritious snacks, although awareness of the importance of healthy snacks was higher in this group than among younger age groups. Employment status and skipping regular meals were important factors affecting snacking quality and patterns in adulthood. Unhealthy snacks, high in energy, sugar, and salt and low in nutrients, were demonstrated to have a negative impact on individuals' health, such as oral health, blood pressure, obesity, and diabetes. In conclusion, encouraging individuals to consume healthy snacks that are high in nutrients through education to help them plan for their snacks is important to enhance health and reduce disease risk.

Eating Speed, Eating Frequency, and Their Relationships with Diet Quality, Adiposity, and Metabolic Syndrome, or Its Components

Excess body weight is a major global health concern, particularly due to its associated increased health risks. Several strategies have been proposed to prevent overweight and obesity onset. In the past decade, it has been suggested that eating speed/rate and eating frequency might be related to obesity. The main aim of this narrative review was to summarize existing evidence regarding the impact of eating speed/rate and eating frequency on adiposity, metabolic syndrome (MetS), or diet quality (DQ). For this purpose, a literature search of observational and interventional trials was conducted between June and September 2020 in PubMed and Web of Sciences databases, without any data filters and no limitations for publication date. Results suggest that children and adults with a faster eating speed/rate may be associated with a higher risk of developing adiposity, MetS or its components. Furthermore, a higher eating frequency could be associated with diet quality improvement, lower adiposity, and lower risk of developing MetS or its components. Further interventional trials are warranted to clarify the mechanism by which these eating behaviors might have a potential impact on health.

Snacking may improve dietary fiber density and is associated with a lower body mass index in postmenopausal women

OBJECTIVES

This study aimed to examine the relationship between eating frequency (EF), meal frequency, and snacking frequency (SF), and the body weight status of postmenopausal women. We tested how meal frequency and SF were related with macronutrient intake, and how different definitions of snacking affected the study results.

METHODS

Dietary intake was assessed using a 3-d food diary in 302 women age 45 to 65 y. Body weight, body fat percentage, and waist circumference were measured, and the body mass index (BMI) was computed. Women were classified as overweight-to-obese or of normal weight. Eating occasions that provided at least 50 kcal were classified as meals or snacks based on three definitions: Contribution to total energy intake (EI; ≥15% as a meal, <15% as a snack), self-reported, and based on time.

RESULTS

When adjusted for confounders and the EI:estimated energy requirement, a negative association was seen between EF, self-reported SF, and BMI. EF and self-reported SF were negatively associated with EI. Differences in the dietary composition of the snacks between the groups were seen when identified by participants themselves. Specifically, the percentage energy from total sugar and alcohol in self-reported snacks was significantly lower, but dietary fiber density was significantly higher among normal-weight compared with overweight-to-obese women.

CONCLUSIONS

Higher EF and self-reported SF, independently of the EI:estimated energy requirement, is associated with lower BMI values and EI in postmenopausal women. Snacking may improve the dietary fiber density of the diet. An objective definition of snacking needs to be used in nutritional studies.

Meal and snack frequency in relation to diet quality in Japanese adults: a cross-sectional study using different definitions of meals and snacks

Epidemiological evidence on the association between eating frequency and overall diet quality does not represent a consistent picture. This cross-sectional study examined the associations of meal frequency and snack frequency with diet quality, using different definitions of meals and snacks. Based on 4-d weighed dietary record data obtained from 639 Japanese adults aged 20-81 years, all eating occasions were divided into meals or snacks based on either the participant-identified or time-of-day definitions. Diet quality was assessed by the Healthy Eating Index-2015 (HEI-2015) and Nutrient-Rich Food Index 9.3 (NRF9.3). One additional meal per d increased the HEI-2015 total score by 3·6 and 1·3 points based on the participant-identified and time-of-day definitions, respectively. A higher meal frequency was also associated with higher values of some of the HEI-2015 component scores (total vegetables, greens and beans, and total protein foods), irrespective of how meals were defined. Additionally, one additional participant-identified snack per d increased the HEI-2015 total score by 0·7 points. The frequency of participant-identified snacks also showed positive associations with some of the HEI-2015 component scores (total fruits, whole fruits, total vegetables, greens and beans, dairy products, and Na). However, the frequency of time-of-day defined snacks was not associated with the total scores of HEI-2015, although there were some associations for its components. Similar findings were obtained when the NRF9.3 was used. In conclusion, higher meal frequency was consistently associated with higher diet quality, while associations between snack frequency and diet quality varied depending on the definition of snacks.

Office cake culture

Purpose

The purpose of this paper is to explore the characteristics of office cake (OC) consumption and the associated attitudes and behaviours among UK office workers to gain insight into the implications for workplace health.

Design/methodology/approach

A cross-sectional online questionnaire was completed by 940 respondents. Data were analysed using descriptive statistics and cross-tabulation withχ2tests for between-group difference.

Findings

Respondents reported both positive social and negative health-related consequences of OC. OC influenced eating behaviour through increased salience and availability, and the effects of social influencing. Almost all (94.8 per cent) reported ideal OC frequency to be once/week or less. Gender and age significantly affected attitudes and behaviour.

Research limitations/implications

The questionnaire was not validated so data accuracy could have been diminished or biased. Portion size was not examined and consumption data were self-reported which could have resulted in under-reporting. Only office workers were investigated therefore results may not be applicable to other workplaces.

Practical implications

OC appears to influence both the workplace eating environment and employee eating behaviour. It could therefore affect employee health and workplace health promotion programme efficacy. However the findings suggest that nudge-based initiatives could reduce OC consumption to make workplaces healthier while retaining social benefits.

Originality/value

The present study provides the first data on OC culture and insights on how to address it sensitively. It also highlights that sweet treats used for celebration and employee recognition should be considered a relevant part of workplace food provision alongside canteens and vending.

The impact of a higher eating frequency on the diet quality and nutritional status of women with breast cancer undergoing chemotherapy

The present study investigated the association between eating frequency (EF), diet quality and nutritional status of fifty-five women with breast cancer (BC) undergoing chemotherapy (CT), with three follow-ups, before the first cycle (T0), after the intermediate cycle (T1) and after the last cycle of CT (T2). Dietary data were obtained by nine 24-h dietary recalls (24HR), and the Brazilian Healthy Eating Index Revised (BHEI-R) was used for qualitative analysis of diet. The average EF was established by adding the number of daily eating episodes in the three 24HR of each time. Anthropometric variables were obtained at three times. Women who reported higher EF (equal to or above median value (T0 and T1: 4·67; T2: 4·33 eating episodes)) presented better anthropometric parameters, in T0 and T1, as well as higher scores for BHEI-R specific groups and BHEI-R Total score in T1 and T2. In generalised linear models, the continuous variable EF was negatively associated with all the anthropometric variables in T0 and with the waist:height ratio in T1. There were positive associations for the BHEI-R groups at the three times: Total Fruit; Whole Fruit; Total Vegetables; Dark Green and Orange Vegetables and Legumes. At T1 and T2 the EF was positively associated with the BHEI-R Total score, and also with Whole Grains in T1. The results suggest that a higher EF was associated with a better diet quality during CT in women with BC. In contrast, an inverse association was observed between EF and anthropometric parameters before the first cycle of treatment.

Evaluation of the Influence of Raw Almonds on Appetite Control: Satiation, Satiety, Hedonics and Consumer Perceptions

Snack foods can be substantial contributors to daily energy intake, with different types of snacks exerting potentially different effects on satiety per calorie consumed. The present research compared the effect of consuming almonds as a mid-morning snack compared to an energy and weight-matched comparator snack (savoury crackers) or the equivalent weight of water (zero energy control). In a crossover design, 42 female participants (age: 26.0 ± 7.9, BMI: 22.0 ± 2.0) consumed a fixed breakfast then a mid-morning snack. Appetite, 24-h energy intake, food hedonics, and consumer perceptions of the snack foods were assessed under laboratory conditions. AUC analyses revealed a lower overall hunger drive after consuming almonds compared to crackers or water. There was no difference in 24-h energy intake in the almond compared to the cracker or the zero-energy control condition, however participants consumed more energy in the cracker condition compared to the zero-energy control condition. In addition, almonds suppressed hedonic preference (implicit wanting) for consuming high-fat foods and demonstrated a higher satiety quotient (SQ) than crackers. Almonds were perceived to have a more favourable consumer profile aligned with successful weight management. In conclusion, these findings demonstrate that in the context of a 24-h period of objectively measured energy intake, raw almonds are effective for controlling appetite compared to an energy matched alternative snack. This trial was registered at clinicaltrials.gov [NCT02480582].

Nutrient Intakes from Meals and Snacks Differ with Age in Middle-Aged and Older Americans

The present study investigated the meal patterns across demographic characteristics in middle-aged and older US adults. Study participants were noninstitutionalized participants from the 2005–2016 National Health and Nutrition Examination Survey, an observational cross-sectional study. Data from 17,361 adults were categorized into 45–59 years (n = 7366), 60–70 years (n = 5348), and 71+ years (n = 4647) to compare demographics, nutrient intakes, and meal patterns. Dietary recalls were collected using the multiple-pass method. Data analyses were weighted to create a nationally representative sample. Two-thirds of adults reported consuming three meals on the day of intake. Lunch was the most often skipped meal across all age groups. A greater proportion of adults over 70 years reported consuming breakfast, while a smaller proportion reported consuming snacks. Significant differences were observed in total energy and nutrient intakes and proportion of the day’s intakes by meal. Grain, milk, and dairy food group intakes were highest at breakfast, while the protein food group intakes were highest at lunch and dinner. Age-related differences in meal consumption and composition provide valuable formative data to support targeted nutritional education and intervention opportunities to promote and encourage healthy food choices.

Analysis of Popcorn (Zea mays L. var. everta) for Antioxidant Capacity and Total Phenolic Content

Popcorn, one of the most popular snack foods in the world, is known for being a high fiber, healthy food. Our research has found that commercial popcorn also contains significant amounts of the class of antioxidants known as phenolic acids. The total antioxidant power of raw and popped popcorn extract has been quantified using the Folin-Ciocalteu and FRAP assays. The polyphenols were found exclusively in the pericarp of the kernel completely bound to the oligosaccharide fiber matrix. An in vitro digestion study was also performed to predict the phenolic acids' bioavailability. On average, nine commercial popcorn samples contain 5.93 ± 0.92 mg/g of total polyphenols after alkaline hydrolysis and 2.66 ± 0.15 mg/g after in vitro digestion as measured by the Folin-Ciocalteu assay. Furthermore, the popping process was found not to significantly decrease the antioxidant capacity. These results indicate that a considerable amount of the bound polyphenols are bioaccessible. Due to the high levels of bioaccessible polyphenols, popcorn may be a significant source of dietary polyphenol antioxidants.

The benefits of defining "snacks"

Whether eating a "snack" is considered a beneficial or detrimental behavior is largely based on how "snack" is defined. The term "snack food" tends to connote energy-dense, nutrient-poor foods high in nutrients to limit (sugar, sodium, and/or saturated fat) like cakes, cookies, chips and other salty snacks, and sugar-sweetened beverages. Eating a "snack food" is often conflated with eating a "snack," however, leading to an overall perception of snacks as a dietary negative. Yet the term "snack" can also refer simply to an eating occasion outside of breakfast, lunch, or dinner. With this definition, the evidence to support health benefits or detriments to eating a "snack" remains unclear, in part because relatively few well-designed studies that specifically focus on the impact of eating frequency on health have been conducted. Despite these inconsistencies and research gaps, in much of the nutrition literature, "snacking" is still referred to as detrimental to health. As discussed in this review, however, there are multiple factors that influence the health impacts of snacking, including the definition of "snack" itself, the motivation to snack, body mass index of snack eaters, and the food selected as a snack. Without a definition of "snack" and a body of research using methodologically rigorous protocols, determining the health impact of eating a "snack" will continue to elude the nutrition research community and prevent the development of evidence-based policies about snacking that support public health.

Snacking Recommendations Worldwide: A Scoping Review

Across the globe, dietary habits include the consumption of foods and drinks between main meals. Although often described as "snacks" or "snacking," there is no scientific consensus of what constitutes a snack, either as an eating occasion or as a snack food. Nonetheless, food-based dietary guidelines, compiled at national or regional levels by governments, learned societies, and health organizations, frequently refer to snacking habits and desirable or undesirable snack food choices. This review aims to provide a comprehensive snapshot of snacking recommendations worldwide. From a search of 207 countries and organizations, 49 countries and 7 regional or global organizations were identified that referred to snacks, snack foods, or snacking. A total of 136 snacking-specific recommendations or examples were identified, which varied in nature whereby some provided advice on the quality of the snack food choice and others focused on the frequency or energy and nutrient composition of such snacks. Guidelines varied in terms of the detail of foods and drinks identified, wherein some recommendations focused only on foods or food categories to include (e.g., fruit or dairy) or to exclude (e.g., processed foods), whereas other recommendations made reference to both. Both individual foods (e.g., apples) and food categories (e.g., fruit) were mentioned. Reasons or rationales to support the snacking choices were less frequently identified and varied across regions. It is hoped that this analysis will stimulate discussion on the need for a consensus in the scientific community and beyond with regard to snacking. An agreed-upon definition of snacks, snacking, and snack foods could be used to inform a number of stakeholders and ultimately help consumers adhere to healthful diets as defined locally.

Healthy Snacks: Using Nutrient Profiling to Evaluate the Nutrient-Density of Common Snacks in the United States

OBJECTIVE

To quantify and compare the nutrient-density of commonly consumed snacks using two nutrient-density measures, Nutrient Rich Foods Indices 9.3 (NRF 9.3) and 15.3 (NRF 15.3).

DESIGN

Identify commonly consumed categories of snacks and individual snack foods, calculate NRF 9.3 and 15.3 scores, rank snacks by category and by individual food based on nutrient density, compare and contrast scores generated by the two NRF Indices.

MAIN OUTCOME MEASURES

NRF 9.3 and 15.3 scores.

ANALYSIS

Averages and standard deviations of nutrient-density scores for each snack category.

RESULTS

Vegetables and coffee/tea received the highest category scores on both indices. Cakes/cookies/pastries and sweets had the lowest category scores. NRF 9.3 scores for individual snacks ranged from -46 (soda) to 524 (coffee). NRF 15.3 scores ranged from -45 (soda) to 736 (coffee).

CONCLUSIONS AND IMPLICATIONS

If added to food labels, NRF scores could help consumers identify more nutritious choices. The differences between NRF 9.3 and 15.3 scores generated for the same foods and the limitations of these indices highlight the need for careful consideration of which nutrient-density measure to include on food labels as well as consumer education.

Increasing intention to cook from basic ingredients: A randomised controlled study

The promotion of home cooking is a strategy used to improve diet quality and health. However, modern home cooking typically includes the use of processed food which can lead to negative outcomes including weight gain. In addition, interventions to improve cooking skills do not always explain how theory informed their design and implementation. The Behaviour Change Technique (BCT) taxonomy successfully employed in other areas has identified essential elements for interventions. This study investigated the effectiveness of different instructional modes for learning to cook a meal, designed using an accumulating number of BCTs, on participant's perceived difficulty, enjoyment, confidence and intention to cook from basic ingredients. 141 mothers aged between 20 and 39 years from the island of Ireland were randomised to one of four conditions based on BCTs (1) recipe card only [control condition]; (2) recipe card plus video modelling; (3) recipe card plus video prompting; (4) recipe card plus video elements. Participants rated their enjoyment, perceived difficulty, confidence and intention to cook again pre, mid and post experiment. Repeated one-way factorial ANOVAs, correlations and a hierarchical regression model were conducted. Despite no significant differences between the different conditions, there was a significant increase in enjoyment (P < 0.001), confidence (P < 0.001) and intention to cook from basics again (P < 0.001) and a decrease in perceived difficulty (P = 0.001) after the experiment in all conditions. Intention to cook from basics pre-experiment, and confidence and enjoyment (both pre and post experiment) significantly contributed to the final regression model explaining 42% of the variance in intention to cook from basics again. Cooking interventions should focus on practical cooking and increasing participants' enjoyment and confidence during cooking to increase intention to cook from basic ingredients at home.

The addition of peanuts to habitual diets is associated with lower consumption of savory non-core snacks by men and sweet non-core snacks by women

Snacking is associated with intakes of non-core foods which may predispose to obesity. Peanuts have potential satiety benefits and may assist with weight management; we hypothesized that peanut consumption would reduce intake of non-core snack foods due to compensation. We investigated the effects of adding peanuts to a habitual diet on snacking habits and energy intake. Sixty-one healthy participants (65±7years, body mass index 31±4kg/m²) consumed their habitual diet with or without peanuts (56g/d for 32 women, 84g/d for 29 men) for 12weeks each in a randomized crossover design. Food diaries were analyzed at baseline and after each 12-week period for meal and snack content and timing. Total energy intake was higher (17% for men [P<.001], 9% for women [P<.001]) during the peanut phase. Body weight was 0.5±0.2kg (P=.010) greater during the peanut phase. Snacking occasions increased during the peanut phase (53% for men [P=.001], 14% for women [P=.01]). Servings of other snack foods did not change during the peanut phase (P=.6) compared with control. However, sex-specific analysis revealed that men and women consumed less savory (P<.001) and sweet (P=.01) non-core snacks, respectively, during the peanut phase. Despite increased energy intake and snacking frequency, peanuts may improve the diet through sex-specific reductions of non-core foods; for optimal energy balance, peanuts should be substituted rather than added to the diet.

Knowledge of healthy foods does not translate to healthy snack consumption among exercise science undergraduates

This cross-sectional survey study compared the on- and off-campus snack choices and related correlates of convenience samples of exercise science (ES) ( n = 165, M = 45%, F = 55%) and non-exercise science (NES) ( n =160, M = 43%, F = 57%) undergraduates. The hypothesis posed was that knowledge of healthy foods will not translate to healthier snack consumption by the ES students, and that the snack choices and related correlates of ES and NES students will be similar. Data were collected using self-administered questionnaires completed in classrooms (ES sample) and at high-traffic locations on-campus (NES sample). Chi-square and t-test analyses compared ES and NES students on snack correlates. Snacks consumed most often by the ES and NES students on-campus were health bars/squares ( n = 56 vs. n = 48) and savory snacks ( n = 55 vs. n = 71), and off-campus were savory snacks ( n = 60 vs. n = 71) and fruits ( n = 41 vs. n = 34). Over half of both samples believed their snack choices were a mix of unhealthy and healthy. Fruits were considered healthier snacks and chips less healthy by both samples, and fruits were the most often recommended snack. About 20% believed these choices would impact their health unfavorably, and about two thirds self-classified in the action stages for healthy snacking. Since knowledge about healthy food choices did not translate to healthy snack selection, these students would benefit from interventions that teach selection and preparation of healthy snacks on a restricted budget.

Replacing American snacks with tree nuts increases consumption of key nutrients among US children and adults: results of an NHANES modeling study

Background

Replacing typical American snacks with tree nuts may be an effective way to improve diet quality and compliance with the 2015–2020 Dietary Guidelines for Americans (DGAs).

Objective

To assess and quantify the impact of replacing typical snacks with composite tree nuts or almonds on diet metrics, including empty calories (i.e., added sugars and solid fats), individual fatty acids, macronutrients, nutrients of public health concern, including sodium, fiber and potassium, and summary measures of diet quality.

Methods

Food pattern modeling was implemented in the nationally representative 2009–2012 National Health and Examination Survey (NHANES) in a population of 17,444 children and adults. All between-meal snacks, excluding beverages, were replaced on a per calorie basis with a weighted tree nut composite, reflecting consumption patterns in the population. Model 1 replaced all snacks with tree nuts, while Model 2 exempted whole fruits, non-starchy vegetables, and whole grains (>50% of total grain content). Additional analyses were conducted using almonds only. Outcomes of interest were empty calories (i.e., solid fats and added sugars), saturated and mono- and polyunsaturated fatty acids, fiber, protein, sodium, potassium and magnesium. The Healthy Eating Index-2010, which measures adherence to the 2010 Dietary Guidelines for Americans, was used as a summary measure of diet quality.

Results

Compared to observed diets, modeled food patterns were significantly lower in empty calories (−20.1% and −18.7% in Model 1 and Model 2, respectively), added sugars (−17.8% and −16.9%), solid fats (−21.0% and −19.3%), saturated fat (−6.6% and −7.1%)., and sodium (−12.3% and −11.2%). Modeled patterns were higher in oils (65.3% and 55.2%), monounsaturated (35.4% and 26.9%) and polyunsaturated fats (42.0% and 35.7%), plant omega 3 s (53.1% and 44.7%), dietary fiber (11.1% and 14.8%), and magnesium (29.9% and 27.0%), and were modestly higher in potassium (1.5% and 2.9%). HEI-2010 scores were significantly higher in Model 1 (67.8) and in Model 2 (69.7) compared to observed diets (58.5). Replacing snacks with almonds only produced similar results; the decrease in sodium was more modest and no increase in plant omega-3 fats was observed.

Conclusion

Replacing between-meal snacks with tree nuts or almonds led to more nutrient-rich diets that were lower in empty calories and sodium and had more favorable fatty acid profiles. Food pattern modeling using NHANES data can be used to assess the likely nutritional impact of dietary guidance.

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.

Chronic Stress Is Associated with Indicators of Diet Quality in Habitual Breakfast Skippers

BACKGROUND

Previous studies suggest skipping breakfast is associated with lower diet quality, but possible reasons underlying this relationship are not clear.

OBJECTIVE

Our aim was to determine the relationship between chronic stress and variations in diet quality in the context of breakfast eating or breakfast skipping.

DESIGN

Based on morning eating habits, 40 breakfast eaters and 35 breakfast skippers participated in a cross-sectional study. Diet assessment was based on unannounced 24-hour recalls.

PARTICIPANTS/SETTING

Women, ages 18 to 45 years, with a body mass index (calculated as kg/m²) <40 were recruited in the greater Sacramento, CA, area between 2009 and 2013. Only women who consistently ate or skipped breakfast were enrolled.

MAIN OUTCOME MEASURES

Compliance with the 2010 Dietary Guidelines for Americans was measured using the Healthy Eating Index 2010 (HEI-2010). Stress and executive function were evaluated with validated questionnaires and a computer-based task, respectively.

STATISTICAL ANALYSES PERFORMED

Diet characteristics of breakfast eating and breakfast skipping were evaluated as nutrient densities (amounts per 1,000 kcal) and compared using a one-way analysis of covariance, with body mass index as covariate. Diet and stress variable associations were assessed using Pearson correlations.

RESULTS

Despite no observed differences in daily energy intake between breakfast skipping and breakfast eating, overall diet quality (P=0.001), whole grains (P=0.002), fruit (P=0.002), empty calories (P=0.050), fiber (P=0.001), calcium (P=0.001), potassium (P=0.033), and folate (P=0.013) intakes were higher in breakfast eating. In the evening, breakfast skipping consumed more added sugars (P=0.012) and saturated fat (P=0.006). In breakfast skipping, reported stress was associated with empty calories (r=-0.39; P=0.027) and evening intake of added sugars (r=0.501; P=0.005). These relationships were not observed in breakfast eating.

CONCLUSIONS

Breakfast skippers were less likely to meet the Dietary Guidelines for Americans and consumed more empty calories at night. Chronic stress was related to evening eating choices and overall empty calories in the diet of breakfast skippers, whereas breakfast eaters' dietary intake did not appear to be affected by chronic stress.

What Is a Snack, Why Do We Snack, and How Can We Choose Better Snacks? A Review of the Definitions of Snacking, Motivations to Snack, Contributions to Dietary Intake, and Recommendations for Improvement

Around the world, adults consume energy outside of traditional meals such as breakfast, lunch, and dinner. However, because there is no consistent definition of a "snack," it is unclear whether those extra eating occasions represent additional meals or snacks. The manner in which an eating occasion is labeled (e.g., as a meal or a snack) may influence other food choices an individual makes on the same day and satiety after consumption. Therefore, a clear distinction between "meals" and "snacks" is important. This review aims to assess the definition of extra eating occasions, to understand why eating is initiated at these occasions, and to determine what food choices are common at these eating occasions in order to identify areas for dietary intervention and improvement. Part I of this review discusses how snacking is defined and the social, environmental, and individual influences on the desire to snack and choice of snack. The section concludes with a brief discussion of the associations of snacking with cardiometabolic health markers, especially lipid profiles and weight. Part II addresses popular snack choices, overall snacking frequencies, and the demographic characteristics of frequent snackers in several different countries. This review concludes with a recommendation for nutrition policymakers to encourage specific health-promoting snacks that address nutrient insufficiencies and excesses.

Meal and snack frequency in relation to diet quality in US children and adolescents: the National Health and Nutrition Examination Survey 2003-2012

OBJECTIVE

To examine the associations of meal frequency (MF) and snack frequency (SF) with diet quality.

DESIGN

Dietary intake was assessed using two 24 h dietary recalls. All eating occasions providing ≥210 kJ of energy were divided into meals or snacks on the basis of contribution to energy intake (≥15 % or <15 %), self-report and time (06.00-09.00, 12.00-14.00 and 17.00-20.00 hours, or others). Diet quality was assessed using the Healthy Eating Index (HEI)-2010.

SETTING

Nationally representative sample of the US population.

SUBJECTS

Children aged 6-11 years (n 4269) and adolescents aged 12-19 years (n 6193) in the National Health and Nutrition Examination Survey 2003-2012.

RESULTS

Irrespective of the definition of meals, higher MF was associated with higher HEI-2010 in both children and adolescents. One additional meal per day increased HEI-2010 by 1·45-3·59 points (all P<0·005). Conversely, the associations for SF were inconsistent. While SF based on energy contribution was positively associated with HEI-2010 in both children and adolescents (0·70 (P=0·001) and 1·00 (P<0·0001) point increase by one additional snack, respectively), there were no associations for SF based on self-report or time. In analyses in which only plausible energy reporters (3425 children and 3753 adolescents) were included, similar results were obtained.

CONCLUSIONS

In a representative sample of US children and adolescents, MF was associated with better diet quality, while the associations for SF varied depending on the definition of snacks. The findings highlight the importance of applying different definitions of meals and snacks when assessing the impact of dietary patterns on health.

Temporal Dietary Patterns Derived among the Adult Participants of the National Health and Nutrition Examination Survey 1999-2004 Are Associated with Diet Quality

BACKGROUND

Temporal dietary patterns, the distribution of energy or nutrient intakes observed over a period of time, is an emerging area of dietary patterns research that incorporates time of dietary intake with frequency and amount of intake to determine population clusters that may have similar characteristics or outcomes related to diet quality.

OBJECTIVE

We examined whether differences in diet quality were present between clusters of individuals with similar daily temporal dietary patterns.

DESIGN

The first-day 24-hour dietary recall data from the cross-sectional National Health and Nutrition Examination Survey, 1999-2004, were used to determine proportional energy intake, time of intake, frequency of intake occasions, and mean diet quality.

PARTICIPANTS/SETTING

Data from 9,326 US adults aged 20 to 65 years were included.

STATISTICAL ANALYSES PERFORMED

The mean diet quality, classified by the Healthy Eating Index-2005, of participant clusters with similar temporal dietary patterns derived on the basis of individual proportional energy intake, time of intake, and frequency of intake, were inferentially compared using multiple linear regression that controlled for potential confounders and other covariates (P<0.05/6).

RESULTS

Diet quality differences were present between US population clusters exhibiting similar daily temporal dietary patterns (P<0.001 with one exception, which was P=0.08). Participant characteristics of race/ethnicity, age, household poverty-income ratio, and body mass index were associated with the temporal dietary patterns. The cluster representing the temporal dietary pattern with proportionally equivalent energy consumed during three evenly spaced eating occasions had a significantly greater mean total Healthy Eating Index-2005 score compared with the other temporal dietary pattern clusters.

CONCLUSIONS

Temporal dietary patterns are associated with differences in US adult daily diet quality, demonstrating that elements beyond food and nutrient intake, such as time, can be incorporated with dietary patterns to determine links to diet quality that enhance knowledge of the complicated interplay of time and dietary patterns.

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.

Associations between meal and snack frequency and diet quality and adiposity measures in British adults: findings from the National Diet and Nutrition Survey

Objective

To examine how different definitions of meals and snacks can affect the associations of meal frequency (MF) and snack frequency (SF) with dietary intake and adiposity measures.

Design

Based on 7 d weighed dietary record data, all eating occasions providing ≥210 kJ of energy were divided into meals or snacks based on contribution to energy intake (≥15 % or <15 %) or time (06.00–10.00, 12.00–15.00 and 18.00–21.00 hours; other). Diet quality was assessed using the Healthy Diet Indicator (HDI) and Mediterranean Diet Score (MDS).

Setting

Great Britain.

Subjects

British adults aged 19–64 years (n 1487).

Results

MF based on energy contribution was associated with higher intake of dietary fibre, lower intakes of non-milk extrinsic sugars and alcohol, and higher HDI (only men) and MDS. MF based on time was associated with higher HDI and MDS in women only. Conversely, irrespective of the definition of snacks, SF was associated with higher intakes of confectionery and alcohol, lower intakes of cereals, protein, fat and dietary fibre, and lower HDI (except for SF based on energy contribution in women) and MDS. After adjustment for potential confounders, MF based on time, but not MF based on energy contribution, was positively associated with BMI and waist circumference in men only. SF was positively associated with BMI and waist circumference, irrespective of the definition of snacks.

Conclusions

Higher SF was consistently associated with lower diet quality and higher adiposity measures, while associations with MF varied depending on the definition of meals and sex.

The cross-sectional association between snacking behaviour and measures of adiposity: the Fenland Study, UK

Unhealthy dietary behaviours may contribute to obesity along with energy imbalance. Both positive and null associations of snacking and BMI have been reported, but the association between snacking and total adiposity or pattern of fat deposition remains unevaluated. The objective of this study was to investigate the associations between snacking frequency and detailed adiposity measurements. A total of 10 092 adults residing in Cambridgeshire, England, self-completed eating pattern snacking frequency, FFQ and physical activity questionnaires. Measurements included anthropometry, body composition using dual-energy X-ray absorptiometry scan and ultrasound and assessment of physical activity energy expenditure using heart rate and movement sensing. Linear regression analyses were conducted adjusted for age, socio-demographics, dietary quality, energy intake, PAEE and screen time by sex and BMI status. Among normal-weight individuals (BMI<25 kg/m²), each additional snack was inversely associated with obesity measures: lower total body fat in men and women (−0·41 (95 % CI −0·74, −0·07) %, −0·41 (−0·67, −0·15) %, respectively) and waist circumference (−0·52 (−0·90, −0·14) cm) in men. In contrast, among the overweight/obese (BMI≥25 kg/m²), there were positive associations: higher waist circumference (0·80 (0·34, 0·28) cm) and subcutaneous fat (0·06 (0·01, 0·110) cm) in women and waist circumference (0·37 (0·00, 0·73) cm) in men. Comparing intakes of snack-type foods showed that participants with BMI≥25 kg/m² had higher intakes of crisps, sweets, chocolates and ice-creams and lower intakes of yoghurt and nuts compared with normal-weight participants. Adjusting for these foods in a model that included a BMI–snacking interaction term attenuated all the associations to null. Snacking frequency may be associated with higher or lower adiposity, with the direction of association being differential by BMI status and dependent on snack food choice. Improving snack choices could contribute to anti-obesity public health interventions.

The effect of snacking and eating frequency on dietary quality in British adolescents

PURPOSE

To describe the effects of number of eating occasions and snacks on dietary quality (DQ), defined as adherence to dietary recommendations.

METHODS

A sample of 884 adolescents (11-18 years) in the UK National Diet and Nutrition Survey (NDNS) were included. The Diet Quality Index for Adolescents (DQI-A) was implemented. The total number of eating occasions and snacks was frequency of food or beverages consumed over 24 h and frequency of foods or beverages consumed outside of the three mealtimes, respectively. Results were generated with and without low-energy food under 210 kJ (50 kcal). Regression models were generated with DQ score as the outcome variable and number of eating occasions and snacks as predictors.

RESULTS

The mean (95 % CI) DQ score was 31.1 % (30.2, 32.0). The mean number of eating occasions and snacks was 7.5 (7.3, 7.7) and 2.6 (2.6, 2.7) times/day, respectively. When low-energy events were excluded, the mean number of eating occasions and snacks reduced to 6.2 (6.1, 6.4) and 2.0 (2.0, 2.1) times/day, respectively. DQ score increased by 0.74 points (0.42, 1.05; p < 0.01) and 0.55 points (-0.08, 0.69; p = 0.17) for total eating occasions and snacks, respectively. When low-energy events were excluded, DQ score increased by 0.30 points (-0.84, 0.69; p = 0.13) for each eating occasion and decreased by 1.20 points (-2.1, -0.3; p < 0.01) for each snack.

CONCLUSION

Eating more frequently improves dietary quality especially if some eating occasions are low in energy. A focus on replacing high-energy snacks with low-energy alternatives rather than reducing the number of eating occasions may result in improved dietary quality in adolescents.

Consuming High-Protein Soy Snacks Affects Appetite Control, Satiety, and Diet Quality in Young People and Influences Select Aspects of Mood and Cognition

BACKGROUND

Data concerning the effects of afternoon snacking on ingestive behavior, mood, and cognition are limited.

OBJECTIVE

The purpose of this study was to compare 1088 kJ of high-protein (HP) or high-fat (HF) afternoon snacks vs. no snacking on appetite, food intake, mood, and cognition in adolescents.

METHODS

Thirty-one healthy adolescents (age: 17 ± 1 y) consumed the following afternoon snacks (in randomized order) for 3 d: HP snack (26 g of protein/6 g of fat per 27 g of carbohydrates), HF snack (4 g of protein/12 g of fat per 32 g of carbohydrates), and no snack (NoS). On day 4 of each treatment, the participants completed an 8-h testing day containing pre- and postsnack appetite questionnaires, food cue-stimulated functional MRI brain scans, mood, cognitive function, and eating initiation. Ad libitum dinner and evening snacks were provided and assessed.

RESULTS

HP, but not HF, delayed eating initiation vs. NoS (P < 0.05). Both snacks reduced appetite vs. NoS (P < 0.001) with HP eliciting greater reductions than HF (P < 0.05). Only HF led to reductions in corticolimbic activation in brain regions controlling food motivation/reward vs. NoS (P < 0.01). Although no treatment differences in daily energy intake were detected, HP led to greater protein consumption than NoS (P < 0.05) and greater protein and lower fat consumption than HF (both, P < 0.05). HP led to fewer HF/high-sugar evening snacks than NoS (P < 0.01) and HF (P = 0.09). Although no treatment effects were detected for mood and cognition, HP tended to reduce confusion-bewilderment (P = 0.07) and increase cognitive flexibility (P = 0.09), whereas NoS reduced tension-anxiety (P < 0.05) and vigor-activity (P < 0.05).

CONCLUSION

Afternoon snacking, particularly on HP soy foods, improves appetite, satiety, and diet quality in adolescents, while beneficially influencing aspects of mood and cognition. This trial was registered at clinicaltrials.gov as NCT01781286.

Understanding meal patterns: definitions, methodology and impact on nutrient intake and diet quality

Traditionally, nutrition research has focused on individual nutrients, and more recently dietary patterns. However, there has been relatively little focus on dietary intake at the level of a ‘meal’. The purpose of the present paper was to review the literature on adults' meal patterns, including how meal patterns have previously been defined and their associations with nutrient intakes and diet quality. For this narrative literature review, a comprehensive search of electronic databases was undertaken to identify studies in adults aged ≥  19 years that have investigated meal patterns and their association with nutrient intakes and/or diet quality. To date, different approaches have been used to define meals with little investigation of how these definitions influence the characterisation of meal patterns. This review identified thirty-four and fourteen studies that have examined associations between adults' meals patterns, nutrient intakes and diet quality, respectively. Most studies defined meals using a participant-identified approach, but varied in the additional criteria used to determine individual meals, snacks and/or eating occasions. Studies also varied in the types of meal patterns, nutrients and diet quality indicators examined. The most consistent finding was an inverse association between skipping breakfast and diet quality. No consistent association was found for other meal patterns, and little research has examined how meal timing is associated with diet quality. In conclusion, an understanding of the influence of different meal definitions on the characterisation of meal patterns will facilitate the interpretation of the existing literature, and may provide guidance on the most appropriate definitions to use.

Snacking behaviors, diet quality, and body mass index in a community sample of working adults

BACKGROUND

Snacking behaviors have been linked with higher energy intake and excess weight. However, results have been inconsistent. In addition, few data are available on the extent to which snacking affects diet quality.

OBJECTIVE

This study describes snacking behaviors, including total snacking energy, frequency, time of day, and percentage of snacking energy intake by food groups, and their associations with diet quality and body mass index (BMI; calculated as kg/m(2)).

DESIGN

Snacking behaviors and dietary intake were examined cross-sectionally among 233 adults participating in a community-based worksite nutrition intervention from September 2010 through February 2013. Three telephone-administered 24-hour dietary recalls were collected (2 weekdays; 1 weekend day). Diet quality was characterized by the Healthy Eating Index 2010 and BMI was computed using measured height and weight.

SETTING

The setting was a large metropolitan medical complex in Minneapolis, Minnesota.

MAIN OUTCOME MEASURES

Outcome measures included diet quality and BMI.

STATISTICAL ANALYSES

General linear regression models were used to examine associations between each of the snacking behaviors as independent variables, and diet quality and BMI as dependent variables.

RESULTS

Percent of snacking energy from fruit and juice (β=.13; P=0.001) and nuts (β=.16; P=0.008) were significantly positively associated with diet quality. Percent of snacking energy from desserts and sweets (β=-.16; P<0.001) and sugar-sweetened beverages (β=-.22; P=0.024) were significantly inversely associated. Percent of snacking energy from vegetables (β=-.18; P=0.044) was significantly associated with lower BMI. Percent snacking energy from desserts and sweets was significantly associated with a higher BMI (β=.04; P=0.017).

CONCLUSIONS

Snack food choices, but not total energy from snacks, frequency, or time of day, were significantly associated with diet quality and BMI.

Snacking patterns, diet quality, and cardiovascular risk factors in adults

Background

The relationship of snacking patterns on nutrient intake and cardiovascular risk factors (CVRF) in adults is unknown. The aim of this study was to examine the associations of snacking patterns with nutrient intake, diet quality, and a selection of CVRF in adults participating in the 2001-2008 National Health and Nutrition Examination Survey.

Methods

24-hour dietary recalls were used to determine intake and cluster analysis was used to identify the snacking patterns. Height and weight were obtained and the health indices that were evaluated included diastolic and systolic blood pressure, high density lipoprotein-cholesterol, low density lipoprotein cholesterol, triacylglycerides, blood glucose, and insulin.

Results

The sample was participants (n = 18,988) 19+ years (50% males; 11% African-Americans; 72% white, 12% Hispanic-Americans, and 5% other). Cluster analyses generated 12 distinct snacking patterns, explaining 61% of the variance in snacking. Comparisons of snacking patterns were made to the no snack pattern. It was found that miscellaneous snacks constituted the most common snacking pattern (17%) followed by cakes/cookies/pastries (12%) and sweets (9%). Most snacking patterns were associated with higher energy intakes. Snacking patterns cakes/cookies/pastries, vegetables/legumes, crackers/salty snacks, other grains and whole fruit were associated with lower intakes of saturated fatty acids. Added sugars intakes were higher in the cakes/cookies/pastries, sweets, milk desserts, and soft drinks patterns. Five snack patterns (cakes/cookies/pastries, sweets, vegetable/legumes, milk desserts, soft drinks) were associated with lower sodium intakes. Several snack patterns were associated with higher intakes of potassium, calcium, fiber, vitamin A, and magnesium. Five snacking patterns (miscellaneous snacks; vegetables/legumes; crackers/salty snacks; other grains; and whole fruit) were associated with better diet quality scores. Alcohol was associated with a lower body mass index and milk desserts were associated with a lower waist circumference. No snack patterns were associated with other CVRF studied.

Conclusions

Overall, several snacking patterns were associated with better diet quality than those consuming no snacks. Yet, the majority of the snacking patterns were not associated with CVRF. Education is needed to improve snacking patterns in terms of nutrients to limit in the diet along with more nutrient-dense foods to be included in snacks.