Slow Eating Research Articles

Eating Speed Is Associated with the Presence of Sarcopenia in Older Patients with Type 2 Diabetes: A Cross-Sectional Study of the KAMOGAWA-DM Cohort.

To determine the relationship between eating speed and the presence of sarcopenia in older patients with type 2 diabetes (T2D), in this cross-sectional study, patient eating speeds were classified as “fast-”, “normal-” and “slow-speed eating.” A multifrequency impedance analyzer was used to evaluate patient body compositions. Sarcopenia was defined as having both low muscle strength, a handgrip strength <28 kg for men and <18 kg for women, and low skeletal muscle mass as a skeletal muscle mass index <7.0 kg/m2 for men and <5.7 kg/m2 for women. Among 239 individuals, the frequencies of fast-, normal-, and slow-speed eating were 47.3%, 32.2%, and 20.5%, respectively; and the prevalence of sarcopenia was 15.9%. Patients with a slow eating speed had greater prevalence of low skeletal muscle mass, low muscle strength, and sarcopenia than those with a fast or normal eating speed. After adjusting for covariates, compared to slow eaters, the odds ratio of having sarcopenia among fast- and normal-speed eaters was 0.31 [95% CI: 0.12–0.80] and 0.18 [95% CI: 0.06–0.53], respectively. Having a slow eating speed is associated with a heightened risk of sarcopenia in older patients with T2D.

Independent and combined impact of texture manipulation on oral processing behaviours among faster and slower eaters.

Background: Food texture can moderate eating rate and ad libitum energy intake. Many foods are combined with condiments when consumed and the texture and eating properties differ considerably between condiments and carrier foods. Little is known about how combinations of textures impact oral processing or whether these differences are affected by individual eating-styles. Objective: We investigated the impact of texture parameters (unit size, thickness, hardness and lubrication) on oral processing behaviours for carrots and rice-crackers, and tested whether these behaviours differ between 'faster' and 'slower' eaters. Method: Seventy participants (34 males, 26.0 ± 5.4 years, BMI = 21.5 ± 1.7 kg m-2) consumed 24 weight-matched carrot samples varying in unit size (large/medium/small), thickness (thick/thin), hardness (hard/soft) and lubrication (with/without mayonnaise). In a second step, participants consumed 8 weight-matched cracker samples varying in unit size (large/small), hardness (hard/soft) and lubrication (with/without mayonnaise). Sample consumption was video-recorded for post hoc behavioural annotation to derive specific oral processing behaviours. Participants were divided into 'faster' or 'slower' eater groups using a post hoc median split based on eating rate of raw carrot. Results: Across texture parameters, hardness had the largest influence (p < 0.001) on eating rate for both carrots and crackers. The independent texture differences for carrot ranked from most to least impact on eating rate was hardness > thickness > lubrication > unit size. For crackers, the rank order of eating rate was hardness > lubrication > unit size. Harder carrot samples with decreased unit size and reduced thickness combined had a larger synergistic effect in reducing eating rate (p < 0.001) than manipulation of any single texture parameter alone. Reducing the unit size of crackers while increasing hardness without lubrication combined (p = 0.015) to produce the largest reduction in eating rate. There were no significant differences between fast and slow eaters on their oral processing behaviours across texture manipulations. Conclusions: Combinations of texture manipulations have the largest impact in moderating oral processing behaviours, and this is consistent across 'faster' and 'slower' eaters. Changing food-texture presents an effective strategy to guide reformulation of product sensory properties to better regulate eating rate and energy intake, regardless of an individual's natural eating-style.

Eosinophilic esophagitis in children: Updates and practical aspects of management for allergists in a non-tertiary care private practice setup.

Background: Eosinophilic esophagitis (EoE) is a chronic immune and/or antigen-mediated disease characterized by eosinophilic infiltration of mucosa (≥15 eosinophils per high power field) without any secondary etiology. Non-immunoglobulin E mediated mechanisms predominate in EoE. Objective: This review concentrated on a stepwise approach for the allergist working in non-tertiary care private practice. Methods: A medical literature search that focused on several areas of the latest developments in the diagnosis and management of EoE was conducted. Results: There has been a steady increase in the prevalence and incidence of EoE. Clinical symptoms can vary from dysphagia to failure to thrive, depending on the age at presentation; some children develop adaptive behaviors to compensate for dysphagia, such as food preferences and slow eating. The diagnosis is based on a high index of clinical suspicion and is confirmed with endoscopy with biopsies after ruling out other causes of esophageal eosinophilia. Treatment options may include dietary therapy, pharmacologic therapies, or combination therapy. Therapeutic options may also include endoscopic dilation for stricturing disease. Conclusion: Providers should be aware of recent recommendation changes in the diagnostic workup, the role of skin-prick testing, and role of the proton-pump inhibitor as first-line therapy for EoE. Also, clinicians should be aware of the emerging role of empiric dietary therapy as a preferable therapeutic option when compared with the testing-directed diet and the elemental diet. Furthermore, topical glucocorticoid therapies are available, and new developing therapies are being investigated. Reevaluation of esophageal mucosa with biopsies is required approximately 2 months after therapy for a response and after a change in therapies to confirm continued resolution.

Chewing increases postprandial diet-induced thermogenesis

Slow eating, which involves chewing food slowly and thoroughly, is an effective strategy for controlling appetite in order to avoid being overweight or obese. Slow eating also has the effect of increasing postprandial energy expenditure (diet-induced thermogenesis). It is still unclear whether this is due to oral stimuli; that is, the duration of tasting food in the mouth and the duration of chewing. To investigate the effects of oral stimuli on diet-induced thermogenesis in 11 healthy normal weight males, we conducted a randomized crossover study comprising three trials: (1) drinking liquid food normally, (2) drinking liquid food after tasting, and (3) adding chewing while tasting. Oral stimuli (i.e., the duration of tasting liquid food in the mouth and the duration of chewing) significantly increased diet-induced thermogenesis after drinking liquid food. This result demonstrates that the increase in diet-induced thermogenesis is due to oral stimuli rather than the influence of the food bolus. Increased diet-induced thermogenesis induced by chewing and taste stimuli may help to prevent overweight and obesity.

Survey on the influential factors of stunting among children under seven years of age in nine cities of China

Objective: To analyze the influential factors of stunting among children under 7 years of age in nine cities of China in order to provide empirical data for early prevention and intervention for stunting. Methods: The survey was carried out with 1∶1 case-control study design in the communities and kindergartens of nine cities (Beijing, Harbin, Xi'an, Shanghai, Nanjing, Wuhan, Guangzhou, Fuzhou, and Kunming) from June to November in 2016. Children of heights lower than the 3rd percentile according to the 2009 children's height standard in China were included as the stunting case group (n=1 281), and those with normal height matched for geolocation, gender, and age were recruited as the control group (n=1 281). The height and weight were measured on site, and the information related to family, perinatal status, diet and feeding, lifestyle, and medical history was collected by questionnaire. Continuous variables were compared by paired samples t test and Wilcoxon matched-pair signed ranks test, and proportions were compared by paired Chi square test. Multivariate analysis were carried out using conditional Logistic regression model. Results: Among 1 281 pairs of stunting and control group, there were 677 pairs of boys and 604 pairs of girls, with 238 pairs of children under age 3 years and 1 043 pairs of children aged 3 to 7 years. The Z scores for height and weight of stunting group were lower than that of control group (-2.27 (-2.54, -2.08) vs. -0.59 (-1.04, -0.10), -1.85 (-2.35, -1.38) vs. -0.69 (-1.20, -0.21), Z=30.982, 25.580, both P<0.01). Among family related factors, parental education level, height, weight, and height of grandparents in stunting children were all lower than those in control group (all P<0.05). Among individual related factors, proportion of preterm birth, low birth weight, shorter birth length, mother's pregnancy complications, difficulties adding milk or complementary feeding, poor appetite, slow eating, picky and partial eating, passive eating, more snack intake, shorter sleep duration, difficulty falling asleep, disturbed sleep, and recurrent infectious diseases in infant in stunting children were all higher than those in control group (all P<0.05). Multivariate Logistic regression analysis results illustrate that the lower the parental education level and the parental height, the higher the risk of stunting. For example, the risk of stunting in children whose fathers had short stature was 6.46 times (95%CI: 2.73-15.30) of those children whose fathers' height were medium and the risk of stunting in children whose mothers were short stature was 10.56 times (95%CI: 4.92-22.69) of those children whose mothers' height were medium. The risks of stunting increase significantly among preterm children or those with low birth weight (OR=2.27, 95%CI: 1.33-3.88), birth length<45 cm (OR=3.56, 95%CI: 1.41-8.98), difficulties adding milk or complementary feeding (OR=2.04, 95%CI: 1.32-3.15), poor appetite (OR=3.20, 95%CI: 1.74-5.89), slow eating (OR=1.85, 95%CI: 1.31-2.63), and food allergy (OR=1.80, 95%CI: 1.02-3.16). Conclusion: Parental short stature, preterm birth or low birth weight, shorter birth length, feeding difficulty in infant, poor appetite, slow eating, and food allergy are the main risk factors for stunting in infants and children.

Impact of Individual Differences in Eating Rate on Oral Processing, Bolus Properties and Post-Meal Glucose Responses

PurposeModifying food texture has been shown to influence oral processing behaviour. We explored the impact of food texture on oral processing, bolus formation and post-prandial glucose responses (PPG) among fast and slow eaters. MethodsMale participants (N=39) were split into fast or slow eaters based on natural differences in eating rate when consuming two carbohydrate-equivalent test-meals differing in texture (white rice and rice cake). PPG and satiety responses were compared for fast and slow eaters over 120-min for each test-meal. Each groups test-meal PPG was compared for bolus and saliva properties at the point of swallow. ResultsWhite rice displayed lower instrumental hardness, chewiness and Young's modulus and was perceived less chewy, springy and sticky than rice cake. Slow eaters (n=24, white rice: 13.3 g/min; rice cake: 15.1 g/min) required an average 42% more chews per bite (p < 0.001), had 60% longer oral exposure time (OET), and consumed both test-meals (p < 0.001) at half the eating rate of fast eaters (n=15). Slow eaters had higher PPG following the rice cake meal at 15 (p = 0.046) and 45 min (p = 0.034) than fast eaters. A longer OET was a positive predictor of early PPG at 30-min after the white rice meal (β = 0.178, p = 0.041) and saliva uptake was a significant predictor (β = 0.458, p = 0.045) of PPG for slow eaters when consuming rice cake. Increasing food hardness and stiffness (Young's modulus) had a greater impact on eating rate for slow eaters than fast eaters. ConclusionsEating rate, oral exposure time and bolus saliva uptake were the predictors of an individual's post-prandial glycaemic response amongst slow eaters. Increasing the number of chews per bite with a longer oral exposure time increased saliva uptake in the bolus at the moment of swallowing and enhanced temporal changes in PPG, leading to greater glycaemic peaks in rice cake meal. Differences in eating rate between slow and fast eaters when consuming rice cake meal influenced temporal changes in PPG but not total PPG, and bolus properties did not differ between eating rate groups.

Associations Between Parenting Stress, Feeding Practices, and Child Eating Behaviors During the COVID-19 Pandemic

ObjectivesThe pandemic provides an opportunity to explore how parenting stress during times of crisis may predict parent-child interactions, especially during mealtimes. The objective of the present study was to explore whether parents’ perceived increases in and overall levels of parenting stress during the pandemic were associated with feeding practices and perceptions of child eating behaviors. MethodsParents (n = 284) of children 4–6 years completed a cross-sectional online survey between March and April 2020. Perceived changes in parenting stress during the onset of the pandemic, levels of parenting stress during the pandemic, child feeding practices, and children’s eating behaviors were assessed. We used ordinal linear regression to examine whether changes in and levels of parenting stress predicted use of controlling or responsive feeding practices and perceptions of child eating behaviors. ResultsThe majority (63.7%, n = 181) of parents indicated their family was moderately or extremely emotionally affected by the pandemic and 56.7% (n = 161) indicated pandemic-related precautions had been moderately or extremely challenging. Perceived increases in parenting stress during the onset of the pandemic were associated with more frequent use of food as a reward (OR = 1.15, 95% CI = 1.04–1.26) and for emotional regulation (OR = 1.13, 95% CI = 1.04–1.23), as well as greater child food responsiveness (OR = 0.91, 95% CI = 0.84–0.99) and slow eating (OR = 0.92, 95% CI = 0.84–1.00). Higher overall levels of parenting stress were associated with more frequent use of food as a reward (OR = 1.05, 95% CI = 1.02–1.08) and for emotional regulation (OR = 1.05, 95% CI = 1.03–1.08) but also with use of pressuring feeding practices (OR = 1.03, 95% CI = 1.01–1.06) and encouraging a balanced diet (OR = 1.03, 95% CI = 1.01–1.06). Higher overall levels of parenting stress were associated with greater child food fussiness (OR = 1.05, 95% CI = 1.02–1.08), enjoyment of food (OR = 1.05, 95% CI = 1.02–1.07), and satiety responsiveness (OR = 0.95, 95% CI = 0.93–0.98). ConclusionsDuring the pandemic, parenting stress predicted parents’ use of food for emotional and behavioral regulation and various domains of children’s eating behaviors. Results highlight the need for targeted efforts to support families during times of crisis. Funding SourcesNone.

Two to Tango? The Dance of Maternal Authority and Feeding Practices with Child Eating Behavior.

The purpose of this study was to elucidate the relationship between maternal feeding practices and children’s eating problems. Mothers of 292 children aged 5.9 ± 1.1, 50% boys, reported online on parental authority, overt and covert control of the child’s food choices, child feeding practices, and their child’s problematic eating behavior. Structural equation modelling yielded a model with excellent indices of fit (χ(2)(52) = 50.72, p = 0.56; normed fit index (NFI) = 0.94; root mean square error of approximation (RMSEA) = 0.001). The model showed that an authoritarian maternal authority style was associated with overt control, which was associated with maternal tendency to pressure children to eat and with maternal restriction of highly processed or calorie-rich snack foods. These, in turn, were positively associated with the child’s satiety response, food fussiness, and slow eating, and negatively with the child’s enjoyment of food. In contrast, a permissive maternal authority style was associated with covert control of the child’s eating, concern over the child being overweight, and the restriction of highly processed and calorie-rich snack foods, which were in turn positively associated with the child’s emotional overeating and the child’s food responsiveness. The model seems to tap into two distinct patterns of mother-child feeding and eating dynamics, apparently related to children with opposing appetitive tendencies.

Eating Fast Has a Significant Impact on Glycemic Excursion in Healthy Women: Randomized Controlled Cross-Over Trial.

Epidemiological studies have shown that self-reported fast eating increases the risk of diabetes and obesity. Our aim was to evaluate the acute effect of fast eating on glycemic parameters through conducting a randomized controlled cross-over study with young healthy women. Nineteen healthy women wore a flash glucose monitoring system for 6 days. Each participant consumed identical test meals with a different eating speed of fast eating (10 min) or slow eating (20 min) on the 4th or the 5th day. The daily glycemic parameters were compared between the 2 days. The mean amplitude of glycemic excursion (MAGE; fast eating 3.67 ± 0.31 vs. slow eating 2.67 ± 0.20 mmol/L, p < 0.01), incremental glucose peak (IGP; breakfast 2.30 ± 0.19 vs. 1.71 ± 0.12 mmol/L, p < 0.01, lunch 4.06 ± 0.33 vs. 3.13 ± 0.28 mmol/L, p < 0.01, dinner 3.87 ± 0.38 vs. 2.27 ± 0.27 mmol/L, p < 0.001), and incremental area under the curve for glucose of dinner 2 h (IAUC; 256 ± 30 vs. 128 ± 18 mmol/L × min, p < 0.001) for fast eating were all significantly higher than those for slow eating. The results suggest that fast eating is associated with higher glycemic excursion in healthy women.

Eating Fast Is Associated with Nonalcoholic Fatty Liver Disease in Men But Not in Women with Type 2 Diabetes: A Cross-Sectional Study.

Non-alcoholic fatty liver disease (NAFLD), often complicated by type 2 diabetes mellitus (T2DM), is reported to be associated with diet habits, including eating speed, in the general population. However, the association between eating speed and NAFLD in patients with T2DM, especially sex difference, has not been reported so far. This cross-sectional study included 149 men and 159 women with T2DM. Eating speed was evaluated by a self-reported questionnaire and divided into three groups: fast, moderate, and slow eating. Nutrition status was evaluated by a brief-type self-administered diet history questionnaire. NAFLD was defined as the hepatic steatosis index ≥36 points. Body mass index and carbohydrate/fiber intake in the fast-eating group were higher than those in the slow-eating group in men, whereas this difference was absent in women. In men, compared with eating slowly, eating fast had an elevated risk of the presence of NAFLD after adjusting for covariates (odds ratio (OR) 4.48, 95% confidence interval (CI) 1.09–18.5, p = 0.038). In women, this risk was not found, but fiber intake was found to be negatively associated with the presence of NAFLD (OR 0.85, 95% Cl 0.76–0.96, p = 0.010). This study indicates that eating speed is associated with the presence of NAFLD in men but not in women.

Functional Improvements of Speech, Feeding, and Sleep After Lingual Frenectomy Tongue-Tie Release: A Prospective Cohort Study

Recent studies suggest that speech, solid feeding, and sleep difficulties may be linked to restricted tongue function. Children with tongue restrictions and speech, feeding, and sleep issues underwent lingual frenectomies with a CO2 laser, paired with myofunctional exercises. Questionnaires were completed before, 1 week after, and 1 month following treatment. Thirty-seven patients participated in the study (mean age 4.2 years [range 13 months to 12 years]). Overall, speech improved in 89%, solid feeding improved in 83%, and sleep improved in 83% of patients as reported by parents. Fifty percent (8/16) of speech-delayed children said new words after the procedure (P = .008), 76% (16/21) of slow eaters ate more rapidly (P < .001), and 72% (23/32) of restless sleepers slept less restlessly (P < .001). After tongue-tie releases paired with exercises, most children experience functional improvements in speech, feeding, and sleep. Providers should screen for oral restrictions in children and refer for treatment when functions are impaired.

Incidence of severe hypoglycemia and its association with serum adiponectin in Japanese patients with type1 and insulin-treated type2 diabetes: The Fukuoka Diabetes Registry.

Aims/IntroductionThe incidence of severe hypoglycemia and its risk factors including an insulin‐sensitizing adipokine, adiponectin, were prospectively investigated in Japanese patients with type 1 or insulin‐treated type 2 diabetes.Materials and MethodsA total of 207 participants with type 1 diabetes (mean age 55 years) and 1,396 with insulin‐treated type 2 diabetes (mean age 65 years) from the local diabetes registry were followed for 5 years (follow‐up rate 99%). Severe hypoglycemia was defined as events requiring the assistance of others for recovery from hypoglycemia.ResultsThe incidence of severe hypoglycemia was 9.2 per 100 person‐years in those with type 1 diabetes, and 2.3 per 100 person‐years in those with insulin‐treated type 2 diabetes, respectively. For type 1 diabetes, the risk was significant in those with a history of severe hypoglycemia within the previous year, slow eating and higher serum adiponectin (the highest vs the lowest in quartile hazard ratio 2.36, 95% confidence interval 1.22–4.69). For insulin‐treated type 2 diabetes, the risk included age ≥65 years, history of severe hypoglycemia within the previous year, alcohol consumption ≥60 g/day, larger insulin dose and higher serum adiponectin (the highest vs the lowest in quartile, hazard ratio 2.95, 95% confidence interval 1.22–4.69). For all participants, the incidence of severe hypoglycemia increased along with serum adiponectin (age‐ and sex‐adjusted hazard ratio 1.65 per 1 standard deviation increase of log serum adiponectin, 95% confidence interval 1.45–1.87).ConclusionsThe incidence of severe hypoglycemia was prospectively determined, and the association between severe hypoglycemia and higher serum adiponectin was observed in Japanese patients with type 1 and insulin‐treated type 2 diabetes.

Repeatability of traits for characterizing feed intake patterns in dairy goats: a basis for phenotyping in the precision farming context

In ruminants, feeding behaviour variables are parameters involved in feed efficiency that show variation among individuals. This study aimed to evaluate during the first two production cycles in ruminants the repeatability of feed intake pattern, which is an important aspect of feeding behaviour. Thirty-five dairy goats from Alpine or Saanen breeds were housed in individual pens at four periods (end of first gestation, middle of first and second lactations and middle of second gestation which is also the end of first lactation) and fed a total mixed ration (TMR) ad libitum. Individual cumulative dry matter intake (DMI) was automatically measured every 2 min during the last 4 days of each period. Feed intake pattern was characterized by several measures related to the quantity of feed eaten or to the rate of intake during the 15 h following the afternoon feed delivery. Two main methods were used: modelling cumulative DMI evolution by an exponential model or by a segmentation-clustering method. The goat ability to sort against dietary fibre was also evaluated. There was a very good repeatability of the aggregate measures between days within a period for a given goat estimated by the day effect within breed and goat, tested on the residual variance (P > 0.95). The correlations between periods were the highest between the second and either the third or fourth periods. With increasing age, goats sorted more against the fibrous part of the TMR and increased their initial rate of intake. Alpine goats ate more slowly than Saanen goats but ate during a longer duration. Principal component analysis (PCA) was performed on all the aggregate measures of feed intake patterns. The factor score plots generated by the PCA highlighted the opposition between the different measures of feed intake patterns and the sorting behaviour. The projection of the animals on the scoring plots showed a breed effect and that there was a continuum for the feed intake pattern of goats. In conclusion, this study showed that the feed intake pattern was highly repeatable for an animal in a given period and between periods. This means that phenotyping goats in a younger age might be of interest, either to select them on feeding behaviour and choose preferentially the slow eaters or to adapt the quantity offered and restrict feed delivery to the fast eaters in order to increase feed efficiency and welfare by limiting the occurrence of acidosis, for example.

Continuous Monitoring of Pigs in Fattening Using a Multi-Sensor System: Behavior Patterns.

Simple SummaryThe livestock sector seeks technologies and procedures to collect and manage data and information about its facilities and animals being the basis of the so-called precision livestock. The installation of unusual devices in commercial facilities, as well as the use of electronic feeding stations, allows observers to characterize the behavior pattern of each individual in order to improve farm management techniques and, therefore, its productivity. In this study, 30 Landrace pigs were monitored during the whole fattening period. Results from the study show that the ear skin temperatures of the animals can be used to distinguish animals with different thermal patterns. The parameters extracted from the feeding stations show consistent relationships between the parameters related to the frequency, size, and duration parameters, highlighting the differences in the feeding strategies.In this work, a complete fattening period (81 days) of a total of 30 Landrace pigs housed in two pens of a nucleus in Villatobas (Castilla-La Mancha, Spain) were supervised. The ear skin temperature of each animal was recorded every three minutes. The body weight, the date, the duration, and the amount of feed consumed per animal was monitored via an electronic feeding station. The objective was the identification of animals with different behaviors based on the integration of their thermal and intake patterns. The ear skin temperatures of the animals showed a negative relationship between the mean and the standard deviation (r = 0.83), distinguishing animals with different thermal patterns: individuals with high-temperature values show less thermal variability and vice versa. Feeding parameters showed differences in the feeding strategies of animals, identifying fast-eating animals with a high rate feed intake (60 g/min) and slow eaters (30 g/min). The correlation between the change in the rate of feed intake along with animal growth and feed efficiency reached a significant negative value (−0.57), indicating that animals that do not alter their rate of feed intake along breeding showed higher efficiencies. The difference in temperature of an animal with respect to the averaged group value has allowed us to identify animals with differentiated feeding patterns.

Parent\u2013child cooking meal together may relate to parental concerns about the diets of their toddlers and preschoolers: a cross-sectional analysis in Japan

BackgroundParents often have concerns about the food habits of their young children. Cooking is a frequent behavior related to dietary activities at home. We hypothesized that “a parent cooking meals together with young children might alleviate dietary concerns.” The aim of this study was to identify the relationship between parental cooking practices (e.g., cooking meals together with the child) and diet-related concerns.MethodsData were extracted from the “National nutrition survey on preschool children” conducted among nation-wide households with toddlers and preschoolers in 2015 by the Ministry of Health, Labour and Welfare of Japan. Parents were classified into two groups comprising those who cooked meals together with their children and those who did not. The following variables were compared: taking too much time to eat (slow eaters), “picky” eating (eating only certain foods), inconsistent food intake (eating too much or too little), playing with food/utensils while eating, preferring sweetened beverages and snacks over meals, eating too fast to chew well, not swallowing food, disinterested in eating, and spitting out food. The associations between parent–child cooking meals together and the concerns pertaining to the child’s dietary habits and food intake were analyzed and compared between the two groups.ResultsThe concerns of “picky eating” and “playing with food/utensils while eating” were lower, while “eating too much” was higher in the parent-cooking together group. The intake frequency of fish, soybeans/soy products, vegetables, and milk among children were higher in the “cooking together” group than among those in the “not cooking together” group. Children in the “cooking together” group consumed a significantly greater variety of foods than those in the “not cooking together” group.ConclusionsCooking a meal together with a child may be related to the parent’s lower concerns about the dietary habits of the child, including “picky eating” and “playing with food/utensils while eating,” but may also be related to the higher concerns of “eating too much.”

Dietary support in insulin resistance: An overview of current scientific reports.

Over the past 30 years, a significant increase in the prevalence of insulin resistance (IR) has been observed. It is associated with more frequent occurrence of impaired glucose tolerance, diabetes, excessive weight, cardiovascular diseases, and endocrine disorders. The results of current studies do not indicate a necessity to exclude dairy products from the diet of insulin-resistant individuals. In addition, it has been found that moderate amounts of alcohol as part of a balanced, low-energy diet do not have a negative effect on insulin sensitivity. The authors of recent studies emphasize the importance of reducing the intake of simple sugars, especially from sweet drinks, sweets and excessive fruit juice consuption. Many studies have demonstrated the beneficial effects of consuming complex, low-glycemic-index carbohydrates that are rich in dietary fiber. An insulin-resistant patient's diet should be rich in whole grains and high amounts of non-starchy vegetables and raw fruit. The beneficial effect of the Dietary Approaches to Stop Hypertension (DASH diet) and the Mediterranean diet has been confirmed. The positive correlation between low-carbohydrate and very-low-carbohydrate diets requires confirmation in long-term studies with the participation of insulin-resistant patients. Research shows the benefits of increased calorific intake during the first half of the day, especially from a high-energy and low-glycemic-index breakfast. Furthermore, many researchers indicate that slow and mindful eating is a significant component of an appropriate diet for insulin-resistant individuals.

Assessment of problematic eating behaviour and dental caries in children

Background/Aim: Eating behaviour in children has wide range from anorexia, to selective eating, fussy eater, neophobic/pouching of food &amp; slow eating. Eating behaviour in childhood has been implicated in the development of dental caries and further affecting the body mass index of the child. The aim was to assess the Problematic Eating Behaviour (PEB) and its association with dental caries status of the child. Material and Methods: Parents of 150 children between 3-8 years of age were divided into 2 groups, Group A (3-5 years) and Group B (6-8 years). The parents completed the Children's Eating Behaviour Questionnaire (CEBQ) &amp; the child's dental caries status was recorded. The collected data was subjected to statistical analysis using unpaired t test &amp; Pearson's correlation coefficient test. Results: The results showed that the dental caries status was significantly higher in younger age group (3-5 years) than older age group (6-8 years). Further evaluating the PEB using CEBQ, there was no significant relation found between PEB and dental caries in younger age group of children (3-5 years), but in the older age group (6-8 years) the Factor 4 Desire to Drink (p=0,274) and Factor 5 Satiety Responsiveness (p=0,291) were significantly associated to the dental caries. Conclusions: Eating behaviour can contribute to the development of caries and this has been successfully studied with the use of CEBQ in the present study.

A functional description of adult picky eating using latent profile analysis

ObjectiveResearch has indicated that adult picky eating (PE) is associated with elevated psychosocial impairment and limited dietary variety and fruit and vegetable intake; however, research operationalizing PE behaviors is limited. Previous research identified a PE profile in children, marked by high food avoidance (satiety responsiveness, fussiness, and slow eating) and low food approach (food enjoyment and responsiveness) appetitive traits. The present study aimed to replicate a similar latent eating behavior profile in an adult sample.MethodsA sample of 1339 US adults recruited through Amazon’s MTurk completed an online survey that included a modified self-report version of the Child Eating Behavior Questionnaire (CEBQ-A). Latent profile analysis was employed to identify eating profiles using the CEBQ-A subscales, ANCOVAs were employed to examine profile differences on various self-report measures, and eating profiles were compared across BMI classifications.ResultsAnalyses converged on a four-profile solution, and a picky eater profile that closely resembled the past child profile emerged. Participants in the picky eater profile (18.1%) scored higher on measures of adult PE and social eating anxiety compared to all other profiles, scored higher on eating-related impairment and depression than moderate eating profiles, and were more likely to be of normal weight.DiscussionA distinct adult PE profile was observed, indicating childhood PE and appetitive behaviors may carry over into adulthood. Research identifying meaningful groups of picky eaters will help to shed light on the conditions under which picky eating is a risk factor for significant psychosocial impairment or distress, or weight-related problems.

Managing dysmastication in horses: an update

Dysmastication (difficulty in mastication), colloquially referred to as ‘quidding’, is relatively common in equidae. The condition ranges in severity from mild, causing minor or chronic clinical signs such as slow...

Self-reported Slower Eating Is Associated with a Lower Salt Intake: A Population-based Cross-sectional Study.

Objective Evidence suggests that the eating rate is positively associated with the body weight and blood pressure. Furthermore, people who are overweight or obese tend to have higher salt intakes than those of normal weight. To investigate whether or not the eating rate is also associated with the salt intake, a cross-sectional study was conducted using health examination survey data collected in 2014 from 7,941 residents of Sado City, Niigata, Japan. Methods The eating rates were evaluated using a questionnaire; 11.7% of participants rated themselves as slow eaters, 65.6% as normal eaters, and 22.7% as fast eaters. The salt intake was estimated from sodium and creatinine spot urine measurements using Tanaka's formula. Associations with eating rate were evaluated using multivariate linear regression analyses, with normal eaters as the reference (set at 0). Results Self-reported eating rates were positively associated with the salt intake after adjustment for age and sex [β coefficient (95% confidence interval) for slow -0.51 (-0.67, -0.35); fast 0.18 (0.05, 0.30)]. Further adjustment for the body mass index showed that slower eaters had lower salt intakes than normal eaters, but there was no marked difference in the salt intake between normal and fast eaters. The association between slower eating and a lower salt intake persisted after further adjustment for comorbidities [slow -0.33 (-0.49, -0.18)]. Conclusion Our results suggest that reducing eating rates may be an effective strategy for reducing dietary salt intake as well as preventing obesity.