Breakfast eating pattern and its association with dietary quality indices and anthropometric measurements in young women in Isfahan

ObjectiveTo assess the association between consuming or skipping breakfast and dietary quality indices such as the Healthy Eating Index (HEI), the Dietary Diversity Score (DDS), diversity scores of different food groups, and anthropometric measurements in young Isfahanian women.MethodsWomen 18 to 28 y old were selected randomly from among university students (n = 411) in Isfahan, Iran. A validated semiquantitative questionnaire was used to assess dietary intake. Five food groups of the Food Guide Pyramid were considered for calculating the DDS and diversity score of the food groups. Subjects were categorized based on consuming or skipping breakfast. The HEI was calculated based on 10 components including the five food groups, different fat and sodium intakes, and the DDS.ResultsBreakfast consumers versus skippers had higher scores for the HEI (66 ± 13 versus 47 ± 13, P = 0.001), the DDS (6.8 ± 1.2 versus 4.9 ± 0.7, P = 0.001), and the DDSs for fruits (1.3 ± 0.2 versus 0.9 ± 0.1, P = 0.001), vegetables (1.6 ± 0.2 versus 1.2 ± 0.1, P = 0.001), and whole grains (1.3 ± 0.2 versus 0.9 ± 0.1, P = 0.001). Also, eating breakfast was associated with lower values for dietary energy density (0.96 ± 0.25 versus 1.04 ± 0.40, P = 0.01), the body mass index (20.0 ± 1.8 versus 23.3 ± 2.7, P = 0.001), and waist circumference (69.2 ± 7.6 versus 72.5 ± 8.7, P = 0.001). There was a higher prevalence of breakfast consumers in the third tertiles of the HEI and DDS. However, there was a smaller percentage of breakfast consumers in the third tertiles of the body mass index and waist circumference.ConclusionsBreakfast consumption was associated with higher scores of the dietary quality indices and lower values for the body mass index and waist circumference in young Isfahanian women. Further studies should be performed to determine the relation between the kind of breakfast consumed and the dietary quality indices.     

Sleep deprivation is associated with lower diet quality indices and higher rate of general and central obesity among young female students in Iran

ObjectivesShort sleep duration and low diet quality are associated with weight gain. However, little is known about the relationship between sleep duration and the quality of diets. Therefore, we aimed to compare the diet quality indices and anthropometric measures between short and longer sleepers.MethodsThis cross-sectional study consisted of 410 female youths who were chosen among students of Isfahan University of Medical Sciences based on stratified random sampling method. Dietary intake assessment was done using a semiquantitative validated food frequency questionnaire. Sleep duration was estimated using self-reported nocturnal sleep duration by each person. Anthropometric measures were done using standard protocols. Diet quality indices (including dietary energy density, dietary diversity scores, healthy eating index, nutrient adequacy ratio, and mean adequacy ratio) were calculated using the standard definition.ResultsSubjects who slept less than 6 h/d were more likely to be overweight and obese (P = 0.0001) and also abdominally obese (P = 0.03). They also consumed more dietary energy (2406 ± 825 versus 2092 ± 700 kcal/d; P = 0.01, respectively) and carbohydrates (58.1 ± 16.2% versus 51.6 ± 10.3%; P = 0.03) but a lower amount of fiber (12 ± 7 versus 18 ± 7 g/d; P = 0.04), fruits (2.4 ± 0.6 versus 3.1 ± 0.7 servings/d; P = 0.04), whole grains (0.9 ± 0.1 versus 1.3 ± 0.1 servings/d; P = 0.04), and beans (0.3 ± 0.1 versus 0.8 ± 0.1 servings/d; P = 0.04). All diet quality indices were significantly lower among short sleepers (P < 0.05), apart from dietary energy density, which did not differ significantly (P = 0.8).ConclusionOur findings confirm the association of short sleep duration and obesity in young female youths. It might be derived from lower diet quality among short sleepers more than longer sleepers.     

Dietary Intakes of Patients with Alcohol Use Disorder During a 4-Week Protocol on an Inpatient Treatment Unit Found to Meet Dietary Reference Intakes for Macronutrients,but Have Variability in Energy Balance and Adequacy of Micronutrient Intake

BackgroundDespite literature supporting the importance of diet during rehabilitation, minimal research quantifies dietary intake during treatment for alcohol use disorder (AUD).ObjectiveThe aim was to quantify dietary intake and energy balance of patients with AUD during inpatient treatment.DesignThis was a secondary analysis of data from a 4-week observational protocol. Participants self-selected food from a room service menu. Dietary intake was recorded by patients and reviewed by nutrition staff. To quantify nutrient and food group intake, data were coded into Nutrition Data Systems for Research software, versions 2016 and 2017. Daily average intake was calculated for all dietary variables.Participants/settingParticipants (n = 22) were adults seeking treatment for AUD at the National Institutes of Health Clinical Center (Bethesda, MD) between September 2016 and September 2017 and who were enrolled in a study examining the microbiome during AUD rehabilitation. Four participants discontinued protocol participation before study week 4 and were not included in analyses examining change over time.Main outcome measuresWeight change, daily energy, and macronutrient and select micronutrient intakes were the main outcome measures included.Statistical analyses performedMean differences in intake and weight were assessed using nonparametric tests.ResultsSixty-four percent of participants were male; mean ± SD age was 46.3 ± 13.0 years, mean ± SD body mass index (calculated as kg/m²) was 23.9 ± 2.5, and mean intake was 2,665 kcal/d (consisting of 45.9% carbohydrate, 34.9% fat, and 19.1% protein). Eighty percent or more of this sample met the Estimated Average Requirement for 10 of 16 micronutrients assessed. Male participants consumed more energy than estimated needs (P = .003) and gained a mean ± SD of 2.67 ± 1.84 kg (P = .006) when an outlier with weight loss and acute pancreatitis was removed from analysis. Female participants did not gain weight or consume more than estimated energy needs.ConclusionsOverall macronutrient intake was within recommended ranges, but intake of other dietary components and weight gain were variable, supporting the need for individualized nutrition care during AUD treatment.     

Incorporating the Dietary Guidelines for Americans Vegetable Recommendations into the Diet Alters Dietary Intake Patterns of Other Foods and Improves Diet Quality in Adults with Overweight and Obesity

BackgroundUnderstanding how vegetables are incorporated into the diet, especially in the types and amounts recommended by the Dietary Guidelines for Americans, and how this alters dietary intake patterns is vital for developing targeted behavior change interventions.ObjectiveTo determine how a provision of vegetables was incorporated into the diet of adults with overweight and obesity; whether or not the provided vegetables displaced other foods; and what, if any, effect this had on diet quality and body weight and composition.DesignThis study investigated secondary outcomes from the Motivating Value of Vegetables Study, a community-based, randomized, parallel, nonblinded controlled trial. Participants were randomly assigned to a provided vegetable intervention or attention control group using a one to one allocation ratio.Participants/settingMen and women with self-reported low vegetable consumption, aged 18 to 65 years, with a body mass index ≥25 were recruited from Grand Forks, ND, between October 2015 and September 2017. Only participants randomized to the provided vegetable intervention group (n = 51; attrition = 8%) were included in this secondary analysis.InterventionDietary Guidelines for Americans recommended types and amounts of vegetables were provided weekly for 8 weeks.Main outcome measuresHow the provided vegetables were incorporated into the diet was measured using daily self-report and 24-hour dietary recalls. Diet quality was assessed via the Healthy Eating Index 2015. Body weight and composition were measured before and after the intervention.Statistical analyses performedData were assessed using generalized linear mixed models where phase (pre, post) was the within-subject factor and subject was the random effect.ResultsParticipants self-reported using 29% of the provided vegetables as substitutes for other foods. With the increase in vegetable consumption, there were decreases in total grains (mean difference ± standard deviation; –0.97 ± 3.23 oz-equivalents; P = 0.02), protein foods (–1.24 ± 3.86 oz-equivalents; P = 0.01), saturated fats (–6.44 ± 19.63 g; P = 0.02), and added sugars (–2.44 ± 6.78 tsp-equivalents; P = 0.02) consumed. Total Healthy Eating Index 2015 scores increased (+4.48 ± 9.63; P = 0.001) and dietary energy density decreased (–0.44 ± 0.52 kcal/g; P < 0.0001). There was no change in total energy intake or body weight and composition.ConclusionsIncreasing vegetable consumption to meet Dietary Guidelines for Americans recommendations alters dietary intake patterns, improving diet quality and energy density. These findings highlight the importance of characterizing how individuals incorporate Dietary Guidelines for Americans recommendations into their diet.     

Eating Timing: Associations with Dietary Intake and Metabolic Health

BackgroundEmerging research indicates that eating timing may influence dietary intake and metabolic health. However, studies to date have not examined the association of multiple measures of eating timing with both dietary intake and metabolic health in adults with overweight and obesity.ObjectiveTo examine the association of multiple measures of eating timing with dietary intake (ie, dietary composition, diet quality, and eating frequency) and metabolic health (ie, body composition and cardiometabolic risk).DesignThis is a cross-sectional analysis of baseline data from a weight loss and maintenance intervention collected from May 2015 to January 2018.Participants/settingParticipants were women with overweight or obesity who were dependents of active duty and retired military personnel (N = 229; mean ± standard error, BMI = 34.7 ± 0.4 kg/m², age = 40.9 ± 0.7 years). The study was conducted at military installations in Massachusetts, Connecticut, New York, Colorado, and Kentucky.Main outcome measuresEating timing variables examined included daily eating interval (time between first and last eating occasion), time-restricted eating (≤11 hours daily eating interval), early energy eaters (eating ≥60% of energy during the first half of time awake), and bedtime eaters (eating within 2 hours of bedtime).Statistical analysisThe main analysis was limited to those reporting plausible energy intake (64% of total sample [n = 146]). Linear, quantile, or logistic regression models were used to determine the association of eating timing with measures of dietary intake and metabolic health.ResultsIn individuals reporting plausible energy intake, each additional 1 hour in daily eating interval was associated with 53 kcal higher energy intake, higher glycemic load, eating frequency, and waist circumference (P < 0.05 for all). Significant associations were observed for: time-restricted eating and a lower energy intake, glycemic load, and eating frequency; early energy eating and higher carbohydrate intake; bedtime eating and a higher energy intake, glycemic load, and eating frequency.ConclusionsThese findings lend support for the mechanistic targeting of eating timing in behavioral interventions aimed at improving dietary intake and body composition.     

The Metabolism of ‘Foreign’ Compounds of Plant,Origin

The objective of this study was to determine nutrient intake and food consumption patterns among medical students at the University of Crete, Greece. As part of the Clinical Nutrition course from 1989 to 2001, a total of 951 third-year medical students (500 male, 451 female) aged 22±2 years underwent dietary interview, during which individual 24-h dietary recalls were taken. The students also completed a questionnaire on smoking habits, and anthropometric measurements were performed. The Mann–Whitney test was applied to assess differences in nutrient and food group intake between lower and higher fat eaters. Analysis of covariance was used to study relationships between nutrient intakes and tobacco use, adjusting for gender, age, and body mass index. The mean daily energy intake was 2493 kcal (10437 kJ) for males and 1675 kcal (7012 kJ) for females. The contribution of total fat to energy intake was 40% in each gender. Lower fat eaters (≤34.3% of total energy) had higher intakes of fiber (P<0.01), vitamin C (P<0.01) and fruits (P<0.05), and a lower consumption of red meat (P<0.01) than students in the upper fat quartile (≥46.0% of total energy). Smokers had higher intakes of energy (P<0.05) and saturated fatty acids (P<0.01), and lower intakes of fiber (P<0.001), folate (P<0.05) and vitamin C (P<0.001) than non-smokers/ex-smokers. Our results indicate a need for Greek medical students to improve their dietary and health habits. Dietary assessment could be used to enhance nutrition education in medical schools.     

Energy expenditure and estimated caloric intake in asthmatic adolescents with excess body weight

ObjectiveTo measure resting energy expenditure (REE) and to estimate caloric intake of asthmatic adolescents with excess body weight and compare results with those groups of eutrophic asthmatic adolescents and non-asthmatic adolescents with excess body weight.MethodsThis cross-sectional study categorized 69 adolescents aged 10 to 18 y into three matched groups. Nutritional status was assessed using anthropometric and body composition measurements. Indirect calorimetry was used to measure energy expenditure, and caloric intake was estimated from dietary recalls.ResultsIn each group, there were 23 adolescents (10 girls) aged 12.39 ± 2.40 y. Results for each group were as follows. For asthmatic adolescents with excess body weight, body mass index (BMI) was 24.83 ± 2.73 kg/m², REEs were 1550.24 ± 547.23 kcal/d and 27.69 ± 11.33 kcal · kg^?1 · d^?1, and estimated caloric intake was 2068.75 ± 516.66 kcal/d; for eutrophic asthmatic adolescents, BMI was 19.01 ± 2.10 kg/m², REEs were 1540.82 ± 544.22 kcal/d and 36.65 ± 15.04 kcal · kg^?1 · d^?1, and estimated caloric intake was 2174.05 ± 500.55 kcal/d; and for non-asthmatic adolescents with excess body weight, BMI was 25.35 ± 3.66 kg/m², REEs were 1697.24 ± 379.84 kcal/d and 28.18 ± 6.70 kcal · kg^?1 · d^?1, and estimated caloric intake was 1673.17 ± 530.68 kcal/d. Absolute REE values between groups were not statistically different, even after correction for lean mass and fat mass (F = 0.186, P = 0.831). REE (kilocalories per kilogram per day) was significantly higher in the group of eutrophic asthmatic adolescents (P = 0.016). Estimated caloric intake was greater than REE only in the group of adolescents with asthma.ConclusionThe REE was not significantly different among groups, and REE (kilocalories per kilogram per day) was higher in the group of eutrophic asthmatic adolescents. Estimated caloric intake was greater than REE in the group of adolescents with asthma.     

Dietary fiber and associations with adiposity and fasting insulin among college students with plausible dietary reports

ObjectiveWe examined dietary fiber intake, food sources of dietary fiber, and relation of dietary fiber to body composition and metabolic parameters in college students with plausible dietary reports.MethodsStudents (18–24 y of age) provided data on anthropometry, fasting blood chemistries, and body composition (bioelectric impedance). Diet and physical activity were assessed with the Diet History Questionnaire and the International Physical Activity Questionnaire. Plausible dietary reporters were identified (±1 SD cutoffs for reported energy intake as a percentage of predicted energy requirement). Multiple regression analyses were conducted with the total (n = 298) and plausible (n = 123) samples, adjusting for age, race, sex, smoking status, physical activity, energy intake, and fat-free mass (where applicable).ResultsFood sources of dietary fiber were similar in men and women. In the plausible sample compared with the total sample, dietary fiber was more strongly associated with fat mass (β = ?0.24, P < 0.001), percentage of body fat (β = ?0.23, P < 0.001), body mass index (β = ?0.11, P < 0.01), waist circumference (β = ?0.67, P < 0.05), and fasting insulin (β = ?0.15, P < 0.001). When the effect of sex was investigated, dietary fiber was inversely related to fasting insulin and fat mass in men and women and inversely related to percentage of body fat, body mass index, and waist circumference in men only (P < 0.05).ConclusionInclusion of implausible dietary reports may result in spurious or weakened diet–health associations. Dietary fiber is negatively associated with fasting insulin levels in men and women and consistently associated with adiposity measurements in men.     

Slower Eating Speed Lowers Energy Intake in Normal-Weight but not Overweight/Obese Subjects

BackgroundThe effect of eating speed on energy intake by weight status is unclear.ObjectiveTo examine whether the effect of eating speed on energy intake is the same in normal-weight and overweight/obese subjects.DesignThe effect of slow and fast eating speed on meal energy intake was assessed in a randomized crossover design.Participants/settingThirty-five normal-weight (aged 33.3±12.5 years; 14 women and 21 men) subjects and 35 overweight/obese (44.1±13.0 years; 22 women and 13 men) subjects were studied on 2 days during lunch in a metabolic kitchen.InterventionThe subjects consumed the same meal, ad libitum, but at different speeds during the two eating conditions. The weight and energy content of the food consumed was assessed. Perceived hunger and fullness were assessed at specific times using visual analog scales.Statistical analysesEffect of eating speed on ad libitum energy intake, eating rate (energy intake/meal duration), energy density (energy intake per gram of food and water consumed), and satiety were assessed by mixed-model repeated measures analysis.ResultsMeal energy intake was significantly lower in the normal-weight (804.5±438.9 vs 892.6±330.2 kcal; P=0.04) but not the overweight/obese (667.3±304.1 vs 724.8±355.5 kcal; P=0.18) subjects during the slow vs the fast eating condition. Both groups had lower meal energy density (P=0.005 and P=0.001, respectively) and eating rate (P<0.0001 in both groups) during the slow vs the fast eating condition. Both groups reported less hunger (P=0.01 and P=0.03, respectively), and the normal-weight subjects reported more fullness (P=0.02) at 60 minutes after the meal began during the slow compared with the fast eating condition. There was no eating speed by weight status interaction for any of the variables.ConclusionsEating slowly significantly lowered meal energy intake in the normal-weight but not in the overweight/obese group. It lowered eating rate and energy density in both groups. Eating slowly led to lower hunger ratings in both groups and increased fullness ratings in the normal-weight group at 60 minutes from when the meal began.     

Basal Urinary Zinc/Creatinine Ratio as an Indicator of Dietary Zinc Intake in Healthy Adult Women

Objective: To study, in healthy women, the correlation between the basal urinary zinc/creatinine ratio and dietary zinc intake.

Subjects: A group of 36 healthy female University students was evaluated. Mean age and body weight were, respectively, 25.6±3.3 years and 54.4±7.0 kg.

Methods: Basal urine was collected; Zn was determined by AAS and Creatinine (Creat) by the Jaffe method. A nutritional survey of seven days was recorded. Mean daily dietary intake of energy (DE) and zinc (DZn) were calculated according to the INCAP and English or German Food Composition Tables, respectively.

Results: Mean dietary daily intake were as follows (±SD): Energy (kcal): 1606±570; zinc (mg): 9.1±3.8; basal urine Zn/Creat ratio: 0.41±0.24. Individual values of the Zn/Creat ratio correlated with dietary Zn (r=0.481, p=0.0339); data grouped according to ranges of dietary Zn fit the following equation: Zn/Creat=0.160±0.034 DZn (mg/day); (r=0.870, p=0.00497).

Conclusions: These results showed that the basal urinary Zn/Creat ratio could be a useful indicator of dietary Zn intake in healthy adult women.     

Photo-Assisted Recall Increases Estimates of Energy and Macronutrient Intake in Adults with Intellectual and Developmental Disabilities

Diet assessment of adults with intellectual and developmental disabilities is challenging because of their limited cognitive abilities. The objective of this study was to examine the feasibility and outcomes of combining photos with 24-hour dietary recalls for the assessment of energy and macronutrient intakes in adults with intellectual and developmental disabilities. Participants used an iPad 2 tablet computer (Apple) to take photos of all food and beverages consumed before a standard, multiple-pass, 24-hour dietary recall. After the standard 24-hour diet recall, the photos were reviewed with the participant for clarification details (eg, portion size) and differences were recorded. The standard 24-hour recall and photo-assisted recall were entered separately into the Nutrition Data System for Research for computerized dietary analysis. Sixty-four eating occasions were entered from 23 participants (48% female; mean age 26.4±9.7 years). Participants captured photos for 66.5%±30.4% of all recorded eating occasions. Greater energy intake per eating occasion was reported with the photo-assisted recalls than the standard recalls (625.6±85.7 kcal vs 497.2±86.6 kcal; P=0.002) and a greater intake of grams of fat (P=0.006), protein (P=0.029), and carbohydrates (P=0.003). Photo-assisted 24-hour recalls provided a significant increase in total calories and macronutrient content compared with a standard 24-hour recall and may be a feasible method to enhance dietary assessment in adults with intellectual and developmental disabilities.     

Use of mean spot urine sodium concentrations to estimate daily sodium intake in patients with chronic kidney disease

ObjectiveSodium intake is an important issue for patients with chronic kidney disease (CKD). The two most widely used methods to measure sodium are 24-h urinary sodium excretion (24HUNa), which can be difficult to perform routinely, and sodium intake by dietary recall, which can be inaccurate. This study evaluated use of the mean value of three spot urinary sodium (UNa) concentrations to estimate daily sodium intake in patients with CKD.MethodsThis cross-sectional study enrolled 305 patients with CKD, none of whom were on dialysis, who visited the nephrology clinic at the Asan Medical Center (Seoul, Korea). We performed three spot UNa tests, three calculations of the UNa/creatinine (UCr) ratio, one measurement of 24HUNa, and one measurement of sodium intake by dietary recall.ResultsThe 24HUNa and mean spot UNa values were significantly lower in patients with more advanced CKD (P = 0.006 and P < 0.001, respectively). One-time spot UNa was significantly higher in the evening than in the morning for patients with stage III, IV, or V CKD. Total sodium intake, but not sodium nutrient density (milligrams of sodium per 1000 kcal), was significantly different for patients with different stages of CKD (P = 0.001). The correlation coefficient between 24HUNa and mean spot UNa was 0.477 (95% confidence interval [CI] 0.384–0.562, P < 0.001), slightly higher than that between 24HUNa excretion and mean spot UNa/UCr (r = 0.313, 95% CI 0.207–0.465, P < 0.001). There was a linear relation between spot UNa and 24HUNa: mean spot UNa = 0.27 × 24HUNa + 60. Therefore, a 24HUNa excretion of 87 mEq (sodium intake 2 g/d) corresponded to a mean spot UNa level of 83 mEq/L. The correlation coefficient between sodium intake and mean spot UNa was 0.435 (95% CI 0.336–0.524, P < 0.001), significantly higher than that between sodium intake and mean spot UNa/UCr (r = 0.197, 95% CI 0.091–0.301, P = 0.001). Mean spot UNa tended to be better correlated with 24HUNa than with sodium intake.ConclusionMean spot UNa is a simple and effective method that can be used to monitor sodium intake in patients with CKD. A daily intake of 2 g of sodium corresponds to a mean spot UNa level of approximately 83 mEq/L in patients with CKD.     

The association between dietary glycemic index,glycemic load and diet quality indices in Iranian adults: results from Isfahan Healthy Heart Program

To assess the association between dietary glycemic index (GI), glycemic load (GL) and dietary quality indices in Iranian adults. This cross section was conducted among 1571 Iranian adults aged ≥19 years. GI, GL and diet quality indices were estimated by 24-h recall and DDS was calculated using a validated 48-item food frequency questionnaire. Participants who were in the top tertile of GI had lower healthy eating index (HEI) (57.2?±?7.8 versus 55.6?±?8.7; p?p?2. Individuals in the lowest tertile of GL had lower HEI, MAR and NARs for Zn, vitamin B₂, B₃, B₆, B₁₂, vitamin D. Both GI and GL were positively related to dietary diversity score (DED) (p?相似文献   

The CHANGE Study: A Healthy-Lifestyles Intervention to Improve Rural Children's Diet Quality

BackgroundDespite the high rates of overweight and obesity among rural children, there have been limited interventions reported to improve the diet quality of rural, low-income children in the United States.ObjectiveOur aim was to evaluate students' diet quality at baseline and after implementing the CHANGE (Creating Healthy, Active and Nurturing Growing-Up Environments) study, a 2-year (2007-2009) randomized, controlled, community- and school-based intervention to prevent unhealthy weight gain among rural school-aged children.DesignWe used a school and community-based group randomized, controlled design.Participants/settingData were collected in eight rural communities in California, Kentucky, Mississippi, and South Carolina (one elementary school per community). Children in grades 1 to 6 participated in the study (n=432; mean age=8.65 years±1.6 years). Students' diets were assessed at baseline (spring or early fall 2008) and post intervention (spring 2009) using the Block Food Screener for ages 2 to 17 years.Statistical analysesMixed-model analysis of variance was used to examine the effect of the CHANGE study intervention on students' diets. Results were adjusted for corresponding baseline dietary values, sex, age, grade, race/ethnicity, and state, with school included as a random effect nested within condition.ResultsAt the end of 1 year, students enrolled in the CHANGE study intervention schools consumed significantly more vegetables (0.08 cups/1,000 kcal/day; P=0.03) and combined fruits and vegetables (0.22 cups/1,000 kcal/day; P<0.05) compared with students in control schools. Students in the intervention schools also showed a reduction in the average daily dietary glycemic index (GI=−1.22; P<0.05) and a trend toward more fruit consumption (0.15 cups/1,000 kcal/day; P=0.07). There were no significant differences in students' consumption of whole grains, legumes, dairy, potatoes/potato products, saturated fat, added sugars, or dietary fiber consumption.ConclusionsThe CHANGE study enhanced some aspects of rural students' dietary intake. Implementing similar interventions in rural America can be promising to support vegetable consumption.     

Do types of snacks,sleep hours,and eating places affect nutritional intakes and its adequacy in adolescents?

BACKGROUND/OBJECTIVESHigh-quality meal intake, including snacks, is necessary for optimal development during adolescence. The purpose of this study was to evaluate the nutritional intake of adolescents and the quality of their diet according to snack type, eating location, and sleep hours.SUBJECTS/METHODSA survey of middle school students living in Seoul and Gyeonggi province was conducted using questionnaires and the 24-h recall method to collect data on the 1-day dietary intake of the students from March to May, 2018. The data were analyzed using SPSS 23.0 and the CAN program.RESULTSThe average nutritional intake status among the respondents showed that the energy intake was lower than the recommended, showing 1,914.8 kcal for middle school boys and 1,752.7 kcal for girls. In terms of the nutritional intake status by gender, only the consumption of protein and niacin were significantly higher in boys than girls (P < 0.05). According to the sleep amounts, vitamin C intake was significantly higher in the sleep-deprived group than in the sleep-moderate or sleep-recommended group (P < 0.05), but the intake did not meet the recommendation in any group. The lower density nutrients found in the index of nutritional quality according to eating places were vitamin C, calcium, iron, and folic acid. School meals showed a higher nutritional density in protein, vitamin B₁, and niacin compared to convenience store meals (P < 0.05).CONCLUSIONSThis study suggested that sleep amount, and eating place affected the dietary quality of adolescents.     

Dietary Consequences of Recommending Reduced-Fat Dairy Products in the Weight-Loss Context: A Secondary Analysis with Practical Implications for Registered Dietitians

Replacing full-fat dairy products with reduced-fat varieties is a dietetic strategy for reducing energy intake while maintaining nutritional adequacy. This study aimed to explore the dietary outcomes of this recommendation in the context of weight loss. This study involved a secondary analysis of diet-history data for 86 adults (23 males and 63 females; body mass index=31.1±3.4) who had completed 3 months of a weight-loss trial in 2009, including advice to consume reduced-fat dairy products. Dairy food intake was categorized using the Australian 1995 National Nutrition Survey food hierarchy. Paired t tests and Wilcoxon signed rank tests determined dairy product consumption change after dietetic intervention. Total fat and energy per day from dairy products decreased significantly, from 14.1±1.2 g to 5.8±0.6 g and 283±20 kcal to 223±14 kcal, respectively, and total carbohydrate from dairy products increased significantly (P=0.04). Only 19.7% of participants met their dietary target of two to three servings of dairy foods per day at 3 months. When analyzed by sex, males decreased their intake of dairy products significantly, from 377.63±62.3 g/day to 357.3±46.7 g/day. Despite consuming less fat from dairy products, females did not significantly reduce energy intake from these foods (P=0.05). This study indicated that men and women responded differently to advice to change from regular to reduced-fat dairy products. Of more concern, however, is that in a weight-loss context, both men and women might choose to consume fewer servings of this food category with significant nutritional implications. Overall, this research highlights the need to consider the impact of sex and the background diet when recommending reduced-fat dairy products in the weight-loss context.     

Associations between Consumption of Ultra-Processed Foods and Intake of Nutrients Related to Chronic Non-Communicable Diseases in Mexico

BackgroundUltra-processed foods are highly palatable and can be consumed anywhere at any time, but typically have a poor nutritional profile. Therefore, their contribution to total energy intake has been proposed as an indicator for studying overall dietary quality.ObjectiveThe aim of this study was to investigate the associations between the energy contribution from ultra-processed foods and the intake of nutrients related to chronic non-communicable diseases in Mexico.DesignThis study used a secondary analysis of cross-sectional data from the 2012 Mexican National Health and Nutrition Survey.Participants/settingThis study included participants aged 1 year and older (n=10,087) who had completed a 1-day 24-hour recall.Main outcome measuresIntake from added sugar (% kcal), total fat (% kcal), saturated fat (% kcal), protein (% kcal), dietary fiber (g/1,000 kcal), and dietary energy density (kcal/g) were measured.Statistical analysisMultiple linear regression models adjusted for sociodemographic variables were fitted to assess the association between quintiles of energy contribution from ultra-processed foods and nutrient intake.ResultsMean reported energy contribution from ultra-processed foods to the Mexican population’s diet ranged from 4.5% kcal in quintile 1 (Q1) to 64.2% kcal in quintile 5 (Q5). An increased energy contribution from ultra-processed foods was positively associated with intake from added sugar (Q1: 7.4% kcal; Q5: 17.5% kcal), total fat (Q1: 30.6% kcal; Q5: 33.5% kcal) and saturated fat (Q1: 9.3% kcal; Q5: 13.2% kcal), as well as dietary energy density (Q1: 1.4 kcal/g; Q5: 2.0 kcal/g) (P≤0.001); and inversely associated with intake from protein (Q1: 15.1% kcal; Q5: 11.9% kcal) and dietary fiber (Q1: 16.0 g/1,000 kcal; Q5: 8.4 g/1,000 kcal) (P≤0.001).ConclusionsIn the Mexican population, an increased energy contribution from ultra-processed foods was associated with a lower dietary quality with regard to intake of nutrients related to chronic non-communicable diseases. Future research is needed to identify barriers to eating a variety of unprocessed and minimally processed foods for the Mexican population, as well as effective public health strategies and policies to overcome these barriers.     

Changes in weight and health behaviors from freshman through senior year of college

ObjectiveTo assess weight changes, exercise and diet behaviors among college students from the beginning of freshman year until the end of senior year.DesignLongitudinal observational study.SettingPrivate university in St. Louis, Missouri.ParticipantsCollege students (138 females, 66 males).Main Outcome MeasuresWeight and height were measured, body mass index (BMI) was calculated, and exercise and dietary behaviors were assessed by questionnaire.AnalysisChanges in weight, BMI, exercise, and dietary patterns from the beginning of freshman year to the end of senior year.ResultsFemales gained 1.7 ± 4.5 kg (3.75 ± 9.92 lb) [mean ± SD] from freshman to senior year, and males gained 4.2 ± 6.4 kg (9.26 ± 14.11 lb) (both P < .001). Weight changes were highly variable between students, however, ranging from −13.2 kg to +20.9 kg (−29.10 to +46.08 lb).Conclusions and ImplicationsWeight gain was common but variable among college students. Importantly, exercise and dietary patterns did not meet the recommended guidelines for many college students, which may have long-term health implications.     

Trends in Dietary Intake among US 2- to 6-Year-Old Children, 1989-2008

BackgroundBetween 1989 and 2008, obesity increased markedly in children of all ages. We examined changes in the diets of children ages 2 to 6 years in the United States between 1989 and 2008. Our study provides new insight into diet changes that might have contributed to the sharp rise in obesity during this period.ObjectiveOur aim was to describe changes in diet among 2- to 6-year-old children from 1989 to 2008 related to sharp rises in obesity during this period.ParticipantsThis analysis included 10,647 children ages 2 to 6 years from the following five nationally representative surveys of dietary intake in the United States: Continuing Survey of Food Intake in Individuals 1989-1991 and 1994-1998 and the What We Eat In America, National Health and Nutrition Examination Surveys 2003-2004, 2005-2006, and 2007-2008. Diet data were categorized into groupings using the University of North Carolina-Chapel Hill approach.Statistical analysesAnalyses were carried out using a single 24-hour dietary recall with appropriate survey weighting. T tests were used to compare means across survey years, with P<0.05 considered significant.ResultsDuring the 20-year period, there were increases in per capita intake of savory snacks (+51 kcal; P<0.01), pizza/calzones (+32 kcal; P<0.01), sweet snacks and candy (+25 kcal; P<0.01), mixed Mexican dishes (+22 kcal; P<0.01), and fruit juice (+18 kcal; P<0.01), and total daily energy intake increased by 109 kcal (from 1,475 to 1,584 kcal) (P<0.05). Fruit intake increased marginally (+24 kcal; P<0.01). Six of the 10 greatest absolute changes in per capita intake between sequential survey years occurred between Continuing Survey of Food Intake in Individuals 1994-1998 and National Health and Nutrition Examination Surveys 2003-2004 (P<0.05).ConclusionsFoods high in added sugars and solid fats, such as savory snacks, pizza/calzones, mixed Mexican dishes, sweet snacks and candy, and fruit juice, predominated the top changes in per capita consumption between 1989 and 2008.     

上海市2012-2014年居民膳食营养状况及季节特征研究

目的 了解上海市居民膳食营养状况及季节特征。方法 分别在2012－2014年间4个不同季节对上海市代表性样本人群进行追踪调查,采用连续3 d 24 h膳食回顾询问法辅以家庭调味品称重法收集食物摄入信息。依据中国食物成分表计算能量及产能营养素摄入。结果 2012－2014年上海市居民全年平均每标准人日粮谷类摄入量191.09 g、蔬菜250.69 g、水果107.23 g、动物性食物223.53 g、乳及乳制品96.39 g、大豆及其制品11.19 g、烹调油36.54 g、烹调盐7.57 g,不同季节食物消费差异有统计学意义（P<0.05）。平均每标准人日能量摄入量2 048.70 kcal、碳水化合物241.04 g、蛋白质82.35 g、脂肪85.99 g,脂肪提供能量百分比37.99%。季节、年龄、地区和收入是膳食结构的影响因素（P<0.05）。结论 上海市居民能量摄入满足需求,脂肪能量摄入比例较高,膳食结构欠合理。烹调油、盐摄入量低于国家大城市平均水平但仍高于推荐量,应继续开展针对性营养干预。膳食摄入存在季节特征,夏季膳食摄入更合理,相关研究需考虑季节因素影响。