Glycemic response to meals with a high glycemic index differs between morning and evening: a randomized cross-over controlled trial among students with early or late chronotype.

PURPOSE: Glycemic response to the same meal depends on daytime and alignment of consumption with the inner clock, which has not been examined by individual chronotype yet. This study examined whether the 2-h postprandial and 24-h glycemic response to a meal with high glycemic index (GI) differ when consumed early or late in the day among students with early or late chronotype. METHODS: From a screening of 327 students aged 18-25 years, those with early (n = 22) or late (n = 23) chronotype participated in a 7-day randomized controlled cross-over intervention study. After a 3-day observational phase, standardized meals were provided on run-in/washout (days 4 and 6) and intervention (days 5 and 7), on which participants received a high GI meal (GI = 72) in the morning (7 a.m.) or in the evening (8 p.m.). All other meals had a medium GI. Continuous glucose monitoring was used to measure 2-h postprandial and 24-h glycemic responses and their variability. RESULTS: Among students with early chronotype 2-h postprandial glucose responses to the high GI meal were higher in the evening than in the morning (iAUC: 234 (± 92) vs. 195 (± 91) (mmol/L) × min, p = 0.042). Likewise, mean and lowest 2-h postprandial glucose values were higher when the high GI meal was consumed in the evening (p < 0.001; p = 0.017). 24-h glycemic responses were similar irrespective of meal time. Participants with late chronotype consuming a high GI meal in the morning or evening showed similar 2-h postprandial (iAUC: 211 (± 110) vs. 207 (± 95) (mmol/L) × min, p = 0.9) and 24-h glycemic responses at both daytimes. CONCLUSIONS: Diurnal differences in response to a high GI meal are confined to those young adults with early chronotype, whilst those with a late chronotype seem vulnerable to both very early and late high GI meals. Registered at clinicaltrials.gov (NCT04298645; 22/01/2020).

Association of Meal Timing with Sleep Quality and Anxiety According to Chronotype: A Study of University Students.

There are several determinants of mental health symptoms, ranging from individual characteristics to social factors. Consistent with patterns in the general population, students with evening characteristics tend to exhibit more anxiety symptoms and poorer sleep quality compared to morning students. Meal timing also appears to affect sleep and may be associated with mental health symptoms. In this context, the aim of the present study was to investigate the association of the timing of the main and last meals of the day with sleep quality and anxiety levels, according to the chronotype of university students. This study was conducted in colleges in São Paulo, Brazil, and involved application of a questionnaire to 162 university students. The questionnaire collected sociodemographic information meal and study times, and included scales assessing eveningness and morningness, sleep quality, and anxiety. Students demonstrating a phase delay in both chronotype and dinner timing exhibited higher levels of anxiety compared to morning-type students. Although no associations were observed between meal timing and sleep quality, sleeping later was associated with poorer sleep quality. The study suggests that evening students and those who eat late at night are more prone to presenting mental health symptoms. More studies are needed to further investigate this association.

Relationships among meal time, break time and workplace characteristics of nurses who work day, evening and night shifts: a cross-sectional study.

Objectives. This study aimed to examine the relationships among shift-working nurses' meal time, break time and workplace characteristics. Methods. The cross-sectional study analyzed 351 questionnaires from 117 nurses who worked three shifts, drawn from eight nursing units in two tertiary hospitals located in South Korea. Meal time and break time during work were investigated through a questionnaire that participants completed immediately after the end of each shift. Regression analysis was conducted to investigate the associations between nurses' work characteristics and meal time and break time. Results. Meal time and break time were less than 30 min on all shifts and significantly longer on the night shift than on the other shifts. As patients' average length of stay increased, meal time increased on day and night shifts, while break time decreased on evening shifts. Overall, a higher nursing staff-to-patient ratio was associated with shorter meal and break times. Conclusions. It was found that nurses were not able to take proper time for meals and breaks while working. A realistic and specific strategy should be prepared to address this issue, with appropriate consideration of the specific characteristics of nurse staffing, patients' conditions and shifts.

Late eating, blood pressure control, and cardiometabolic risk factors among adults with hypertension: results from the Korea National Health and Nutrition Examination Survey 2010-2018.

OBJECTIVES: Despite growing concerns regarding the timing of eating, little is known about the association between late eating and health. This study aimed to investigate whether late eating is associated with blood pressure (BP) control and cardiometabolic risk factors among Korean adults with hypertension. METHODS: Data from the Korea National Health and Nutrition Examination Survey 2010-2018 were used. Adults with hypertension aged 30-79 years (n=13,361) were included in this study. Dietary intake and information on meal timing were assessed using 1-day 24-hour recall. Late eating was defined as after the median midpoint between the times of the first and the last eating episode during the recall day. Logistic and linear regression models were used to estimate the associations of late eating with BP control and cardiometabolic risk factors. RESULTS: Among late eaters, there were more men than women. Compared to early eaters, late eaters were younger, had a higher body mass index (BMI) and unhealthier habits, and their overall dietary quality score was lower. A negative association between late eating and BP control was found in a univariate model (odds ratio [OR], 0.82; 95% confidence interval [CI], 0.94 to 1.12), but this association disappeared after adjustment for confounders (OR, 1.03; 95% CI, 0.94 to 1.12). Late eating was independently associated with higher BMI (p=0.03) and blood triglyceride concentration (p<0.01). CONCLUSIONS: Our results do not support a link between late eating and BP control among adults with hypertension, but suggest that late eating is associated with cardiometabolic risk factors.

Nutritional Intake by Meal Time Zone in Geriatric Patients Is Related to Nutritional Assessment Index.

BACKGROUND: The blood metabolome profiles depend on the meal intake time zone regardless of having the same meal. The serum albumin (Alb) level, which is important in managing geriatric patients with chronic diseases, is included in the metabolome analysis. In this study, we aimed to examine the relationship between Alb and the nutritional value of hospital meals consumed at breakfast, lunch, and dinner among geriatric patients. Chrononutrition was considered while drawing inferences. METHODS: We retrospectively surveyed 52 geriatric patients with chronic diseases (aged 79.7 ± 8.7 years) admitted at a small-scale hospital providing combined healthcare measures and oral nutritional support. The dietary intake per kilogram of body weight of nutritional components for breakfast, lunch, and dinner was individually expressed as the ratio to the whole daily food intake. The dietary pattern was determined by principal component analysis. We also conducted linear regression analysis, with Alb as the dependent variable, and age, sex, and grade assigned in this study as well as the first, second, and third principal components of the dietary patterns as the independent variables. RESULTS: Three principal components with an eigenvalue of > 1 were extracted. The second principal component was a significantly negative determinant factor for Alb (B = -0.108, P = 0.016). In patients with high Alb levels, the energy, protein, and fat ratios at lunch were positively correlated, while the energy and carbohydrate ratios at dinner were negatively correlated. Mealtimes were fixed. CONCLUSIONS: The results of this study showed that the dietary pattern predominantly observed in patients with high Alb levels may be positively associated with Alb synthesis.

A Multiple Hypothesis Approach to Estimating Meal Times in Individuals With Type 1 Diabetes.

INTRODUCTION: It is important to have accurate information regarding when individuals with type 1 diabetes have eaten and taken insulin to reconcile those events with their blood glucose levels throughout the day. Insulin pumps and connected insulin pens provide records of when the user injected insulin and how many carbohydrates were recorded, but it is often unclear when meals occurred. This project demonstrates a method to estimate meal times using a multiple hypothesis approach. METHODS: When an insulin dose is recorded, multiple hypotheses were generated describing variations of when the meal in question occurred. As postprandial glucose values informed the model, the posterior probability of the truth of each hypothesis was evaluated, and from these posterior probabilities, an expected meal time was found. This method was tested using simulation and a clinical data set (n = 11) and with either uniform or normally distributed (µ = 0, σ = 10 or 20 minutes) prior probabilities for the hypothesis set. RESULTS: For the simulation data set, meals were estimated with an average error of -0.77 (±7.94) minutes when uniform priors were used and -0.99 (±8.55) and -0.88 (±7.84) for normally distributed priors (σ = 10 and 20 minutes). For the clinical data set, the average estimation error was 0.02 (±30.87), 1.38 (±21.58), and 0.04 (±27.52) for the uniform priors and normal priors (σ = 10 and 20 minutes). CONCLUSION: This technique could be used to help advise physicians about the meal time insulin dosing behaviors of their patients and potentially influence changes in their treatment strategy.

Does the Proximity of Meals to Bedtime Influence the Sleep of Young Adults? A Cross-Sectional Survey of University Students.

Avoiding food before bedtime is a widely accepted sleep hygiene practice, yet few studies have assessed meal timing as a risk factor for disrupted sleep. This study examined the relationship between evening meal timing and sleep quality in young adults. A total of N = 793 participants (26% male) aged between 18 and 29 years responded to an online survey, which captured sociodemographic information, lifestyle variables, and sleep characteristics. Meal timing was defined as meals more than 3 h before or within 3 h of bedtime. The outcomes were as follows: one or more nocturnal awakenings, sleep onset latency of >30 min, and sleep duration of ≤6 h. Logistic regression analyses showed that eating within 3 h of bedtime was positively associated with nocturnal awakening (OR = 1.61, 95% CI = 1.15-2.27) but not long sleep onset latency (1.24; 0.89-1.73) or short sleep duration (0.79; 0.49-1.26). The relationship remained significant after adjusting for potential confounders of ethnicity and body mass index (OR = 1.43, 95% CI = 1.00-2.04). Meal timing appears to be a modifiable risk factor for nocturnal awakenings and disrupted sleep. However, this is a preliminary cross-sectional study and highlights the need for additional research on the influence of the timing of food intake on sleep.

Dopamine Signaling in the Suprachiasmatic Nucleus Enables Weight Gain Associated with Hedonic Feeding.

The widespread availability of energy-dense, rewarding foods is correlated with the increased incidence of obesity across the globe. Overeating during mealtimes and unscheduled snacking disrupts timed metabolic processes, which further contribute to weight gain. The neuronal mechanism by which the consumption of energy-dense food restructures the timing of feeding is poorly understood. Here, we demonstrate that dopaminergic signaling within the suprachiasmatic nucleus (SCN), the central circadian pacemaker, disrupts the timing of feeding, resulting in overconsumption of food. D1 dopamine receptor (Drd1)-null mice are resistant to diet-induced obesity, metabolic disease, and circadian disruption associated with energy-dense diets. Conversely, genetic rescue of Drd1 expression within the SCN restores diet-induced overconsumption, weight gain, and obesogenic symptoms. Access to rewarding food increases SCN dopamine turnover, and elevated Drd1-signaling decreases SCN neuronal activity, which we posit disinhibits downstream orexigenic responses. These findings define a connection between the reward and circadian pathways in the regulation of pathological calorie consumption.

Time of day difference in postprandial glucose and insulin responses: Systematic review and meta-analysis of acute postprandial studies.

Current dietary trends show that humans consume up to 40% of their energy intake during the night. Those who habitually eat during the night are observed to have an increased risk of metabolic conditions such as type-2 diabetes and cardiovascular disease. Increasing evidence suggest that a biological consequence of eating during the night is a larger postprandial glucose response, compared to meals eaten earlier in the day. However, findings from individual acute postprandial studies have been inconsistent, due to variations in protocols. Therefore, this review aimed to systematically summarize findings from acute postprandial studies and investigate whether postprandial glucose and insulin response at night differs to during the day in healthy adults. This would indicate a possible physiological mechanism linking habitual nighttime eating and increased risk of metabolic conditions. Seven electronic databases were searched in February 2018. Included studies met the following criteria: had a day-time test between 0700 - 1600h, a nighttime test between 2000 and 0400h, the test meals were identical and consumed by the same participant at both day and night time points, preceded by a 3-h fast (minimum). Primary outcome measures were postprandial glucose and insulin incremental area under the curve (iAUC) or area under the curve (AUC). Studies that reported numerical data were included in the meta-analyses, conducted using Stata statistical software (version 13.0, StataCorp, College Station, TX, USA). For eligible studies that did not report numerical data, their authors' conclusions on the effect of time of day on the primary outcome measures were summarized qualitatively. Full text of 172 articles were assessed for eligibility. Fifteen studies met the eligibility criteria, ten of which were included in the meta-analyses. Meta-analysis for glucose showed a lower postprandial glucose response in the day compared to during the night, after an identical meal (SMD = -1.66; 95% CI, -1.97 to -1.36; p < .001). This was supported by the findings from included studies ineligible for meta-analysis. Meta-analysis also showed a lower postprandial insulin response in the day compared to during the night (SMD = -0.35; 95% CI, -0.63 to -0.06; p = .016). However, findings from included studies ineligible for meta-analysis were inconsistent. Our results suggest poor glucose tolerance at night compared to the day. This may be a contributing factor to the increased risk of metabolic diseases observed in those who habitually eat during the night, such as shift workers.

Observation of the therapeutic effect of different time intake on patients with acute oral organophosphorus pesticide poisoning / 中国实用护理杂志

Objective@#To study the best time of early feeding in patients with acute oral organophosphorus pesticide poisoning.@*Methods@#A prospective study was conducted on 123 patients with acute oral organophosphorus poisoning admitted from January 2018 to May 2019 in Department of Emergency, the Affiliated Hospital of Binzhou Medical University. The patients were divided into four groups, A(<6 h), B(≥6 h-<12 h), C(≥12 h-<24 h) and D(≥24 h), according to the time of poisoning at the time of admission. All the patients in the four groups were fed immediately upon admission with the same method. The cholinesterase activity at 24, 48, 72, 120 h after poisoning, the incidence of rebound after poisoning, the disappearance time of clinical poisoning symptoms were compared among the four groups.@*Results@#Compared with the other three groups, group A had a statistically significant difference in the cholinesterase activity at 24, 48, 72, 120 h after poisoning (H value was 9.466-24.933, P<0.05 or 0.01). There was no significant difference between the two groups in B, C, D group (P>0.05). The incidence of rebound after poisoning in A, B, C, D group was 3.448%(1/30), 7.407%(2/29), 6.452%(2/33), 6.897%(2/31), respectively, with no statistically significant difference (χ2 value was 0.431, P>0.05). Compared with the four groups, the disappearance time of clinical poisoning symptoms in group A was shorter than that in the other three groups, and the difference was statistically significant (H value was18.199, P<0.05).@*Conclusions@#The earlier the patients ate, the faster the recovery of cholinesterase activity, the earlier the improvement of poisoning symptoms, and the incidence of gastrointestinal reaction and rebound after poisoning is not increased.The best time for early feeding is less than 6 h after poisoning.

Correlation among clock gene expression rhythms, sleep quality, and meal conditions in delayed sleep-wake phase disorder and night eating syndrome.

Clock genes that comprise the circadian clock system control various physiological functions. Delayed sleep-wake phase disorder (DSWPD) and night eating syndrome (NES) are characterized by delayed sleep and meal timing, respectively. We estimated that clock gene expression rhythms in DSWPD patients may be delayed in comparison with the healthy subjects due to delayed melatonin secretion rhythms, producing eveningness chronotype in these individuals. However, it was difficult to estimate which clock gene expression rhythms were delayed or not in NES patients, because previous studies revealed that melatonin secretion rhythm was a little delayed compared with healthy individuals and that chronotype of NES patients depended on the individuals. Therefore, we examined expression rhythms of clock genes such as Period3 (Per3), nuclear receptor subfamily 1, group D, member 1 (Nr1d1) and Nr1d2 in these patients. Further, we expected sleep and meal patterns in DSWPD and NES patients may be more diverse than patterns observed in healthy subjects, and thus analyzed relationships among clock gene expression rhythms, sleep quality, sleep midpoint time, and meal times. We enrolled healthy male participants along with DSWPD and NES male patients, and asked all participants to answer questionnaires and to keep diaries to record information on their sleep and meals. Further, we asked them to collect 5-10 beard follicle samples, 6 times every 4 h. We measured clock gene expression rhythms using total RNA extracted from beard follicle cells. Peak time of clock gene expression in the NES group showed more diversity than the other groups, and that in the DSWPD group was delayed compared with the control group. In addition, the peak time of clock gene expression was negatively correlated with sleep quality and positively correlated with meal time after a long fast. Amplitudes of clock gene expression, especially Per3, positively responded to better mental and physical conditions as well as with better sleep quality. Results of this study suggest that peak times of clock gene expression in NES patients depended on the individuals; some patients with NES showed similar clock gene expression rhythm to healthy subjects, and other patients with NES showed similar to DSWPD patients. Moreover, this study suggests that meal time after a long fast may influence more determination in clock gene expression rhythms than the time of breakfast. Therefore, this study also indicates that Per3 clock gene may be one of the parameters that will help us understand sleep and meal rhythm disturbances.

The Effects of High-Temperature Weather on Human Sleep Quality and Appetite.

High-temperature weather appears in high frequency, big strength, and long duration in the summer. It is therefore important to study the effects of high-temperature weather on sleep quality and appetite. Ten healthy college students were selected as subjects. The experiment conditions were divided by the daily maximum temperature into 28 °C, 32 °C, 36 °C, and 38 °C. The objective sleep quality was measured by an intelligent sleep monitoring belt, and the subjective sleep quality was measured by a questionnaire survey. The subjective appetites were assessed by a visual analog scale (VAS), and the objective appetites were assessed by the meal weight and the meal time. For sleep quality, the objective results indicated that the sleep quality at 32 °C was the best, followed by 28 °C, while the sleep quality at 36 °C and 38 °C was the worst. Significant effects were mainly reflected in sleep duration and shallow sleep. The subjective results showed that temperature had significant effects on sleep calmness, difficulty in falling asleep, sleep satisfaction, and sleep adequateness. For appetite, the VAS results indicated that high temperatures mainly led to a reduction of appetite at lunch time. The meal weights of lunch were larger than those of supper except for 28 °C, and the meal time of lunch and supper was longer than that of breakfast. The meal time of lunch was longer than that of supper except for 36 °C. This paper can provide a study method and reference data for the sleep quality and appetite of human in high-temperature weather.

Approaches to rapid acting insulin intensification in patients with type 2 diabetes mellitus not achieving glycemic targets.

Type 2 diabetes mellitus (T2DM) is a growing problem in the USA, affecting 30.3 million Americans, or 9.4% of the US population. Given that T2DM is a progressive disease, intensification of rapid acting insulin (RAI) to address hyperglycaemia is often required. The American Diabetes Association and the European Association for the Study of Diabetes recommend individualizing the treatment approach to glucose control, considering factors such as age, health behaviours, comorbidities and life expectancy. There are several validated treatment algorithms in the literature, which can be helpful for providing guidance on initiation of RAI while simultaneously considering patient preferences and clinical needs during treatment intensification. This paper provides expert recommendations on prandial insulin regimens and how to use treatment algorithms to promote better glucose control through best practice guidelines. To help patients reach HbA1c targets through treatment intensification, the FullSTEP, SimpleSTEP, ExtraSTEP and AUTONOMY algorithms are discussed in this paper. KEY MESSAGES Clinical inertia should be prevented with timely intensification of therapy when HbA1c levels are greater than 7% (or rising above a patient's individual target) according to national guidelines. Increased personalization in the intensification of T2D treatment is necessary to improve HbA1c targets while addressing risk of hypoglycaemia, concern about weight gain, and overall health goals. Healthcare providers are encouraged to address glycaemic control with a variety of strategies, including prandial insulin, while developing evidence-based treatment plans on the basis of algorithms discussed in the literature.

Applied carbohydrate counting.

Carbohydrate counting or "carb counting" is a meal planning technique for persons with diabetes for managing blood glucose levels by tracking the grams of carbohydrate consumed at meals. With better patient education and awareness, carb counting has become an important step in diabetes management. People with all types of diabetes can be benefited with this approach via improved glycaemic control and quality of life. In the first part of this review basic principles of carbohydrate counting, its application in clinical practice and exchange lists pertaining primarily to South Asian populations have been discussed. Advanced carb counting involving equations which help in better understanding of insulin-to-carbohydrate ratio and insulin dose adjustment are also included in this review.

A Novel Earphone Type Sensor for Measuring Mealtime: Consideration of the Method to Distinguish between Running and Meals.

In this study, we describe a technique for estimating meal times using an earphone-type wearable sensor. A small optical sensor composed of a light-emitting diode and phototransistor is inserted into the ear hole of a user and estimates the meal times of the user from the time variations in the amount of light received. This is achieved by emitting light toward the inside of the ear canal and receiving light reflected back from the ear canal. This proposed technique allowed "meals" to be differentiated from having conversations, sneezing, walking, ascending and descending stairs, operating a computer, and using a smartphone. Conventional devices worn on the head of users and that measure food intake can vibrate during running as the body is jolted more violently than during walking; this can result in the misidentification of running as eating by these devices. To solve this problem, we used two of our sensors simultaneously: one in the left ear and one in the right ear. This was based on our finding that measurements from the left and right ear canals have a strong correlation during running but no correlation during eating. This allows running and eating to be distinguished based on correlation coefficients, which can reduce misidentification. Moreover, by using an optical sensor composed of a semiconductor, a small and lightweight device can be created. This measurement technique can also measure body motion associated with running, and the data obtained from the optical sensor inserted into the ear can be used to support a healthy lifestyle regarding both eating and exercise.

Lunch-time food choices in preschoolers: Relationships between absolute and relative intakes of different food categories, and appetitive characteristics and weight.

Children's appetitive characteristics measured by parent-report questionnaires are reliably associated with body weight, as well as behavioral tests of appetite, but relatively little is known about relationships with food choice. As part of a larger preloading study, we served 4-5year olds from primary school classes five school lunches at which they were presented with the same standardized multi-item meal. Parents completed Child Eating Behavior Questionnaire (CEBQ) sub-scales assessing satiety responsiveness (CEBQ-SR), food responsiveness (CEBQ-FR) and enjoyment of food (CEBQ-EF), and children were weighed and measured. Despite differing preload conditions, children showed remarkable consistency of intake patterns across all five meals with day-to-day intra-class correlations in absolute and percentage intake of each food category ranging from 0.78 to 0.91. Higher CEBQ-SR was associated with lower mean intake of all food categories across all five meals, with the weakest association apparent for snack foods. Higher CEBQ-FR was associated with higher intake of white bread and fruits and vegetables, and higher CEBQ-EF was associated with greater intake of all categories, with the strongest association apparent for white bread. Analyses of intake of each food group as a percentage of total intake, treated here as an index of the child's choice to consume relatively more or relatively less of each different food category when composing their total lunch-time meal, further suggested that children who were higher in CEBQ-SR ate relatively more snack foods and relatively less fruits and vegetables, while children with higher CEBQ-EF ate relatively less snack foods and relatively more white bread. Higher absolute intakes of white bread and snack foods were associated with higher BMI z score. CEBQ sub-scale associations with food intake variables were largely unchanged by controlling for daily metabolic needs. However, descriptive comparisons of lunch intakes with expected amounts based on metabolic needs suggested that overweight/obese boys were at particularly high risk of overeating. Parents' reports of children's appetitive characteristics on the CEBQ are associated with differential patterns of food choice as indexed by absolute and relative intake of various food categories assessed on multiple occasions in a naturalistic, school-based setting, without parents present.

One-year sustained glycaemic control and less hypoglycaemia with new insulin glargine 300 U/ml compared with 100 U/ml in people with type 2 diabetes using basal plus meal-time insulin: the EDITION 1 12-month randomized trial, including 6-month extension.

AIMS: To evaluate the maintenance of efficacy and safety of insulin glargine 300 U/ml (Gla-300) versus glargine 100 U/ml (Gla-100) in people with type 2 diabetes mellitus (T2DM) using basal plus meal-time insulin for 12 months in the EDITION 1 trial. METHODS: EDITION 1 was a multicentre, randomized, open-label, two-arm, phase IIIa study. Participants completing the initial 6-month treatment period continued to receive Gla-300 or Gla-100, as previously randomized, once daily for a further 6-month open-label extension phase. Changes in glycated haemoglobin (HbA1c) and fasting plasma glucose concentrations, insulin dose, hypoglycaemic events and body weight were assessed. RESULTS: Of 807 participants enrolled in the initial phase, 89% (359/404) assigned to Gla-300 and 88% (355/403) assigned to Gla-100 completed 12 months. Glycaemic control was sustained in both groups (mean HbA1c: Gla-300, 7.24%; Gla-100, 7.42%), with more sustained HbA1c reduction for Gla-300 at 12 months: least squares mean difference Gla-300 vs Gla-100: HbA1c -0.17 [95% confidence interval (CI) -0.30 to -0.05]%. The mean daily basal insulin dose at 12 months was 1.03 U/kg for Gla-300 and 0.90 U/kg for Gla-100. Lower percentages of participants had ≥1 confirmed [≤3.9 mmol/l (≤70 mg/dl)] or severe hypoglycaemic event with Gla-300 than Gla-100 at any time of day [24 h; 86 vs 92%; relative risk 0.94 (95% CI 0.89-0.99)] and during the night [54 vs 65%; relative risk 0.84 (95% CI 0.75-0.94)], while the annualized rates of such hypoglycaemic events were similar. No between-treatment differences in adverse events were apparent. CONCLUSION: During 12 months of treatment of T2DM requiring basal and meal-time insulin, glycaemic control was better sustained and fewer individuals reported hypoglycaemia with Gla-300 than with Gla-100. The mean basal insulin dose was higher with Gla-300 compared with Gla-100, but total numbers of hypoglycaemic events and overall tolerability did not differ between treatments.

Rumination and modes of processing around meal times in women with anorexia nervosa: qualitative and quantitative results from a pilot study.

OBJECTIVE: The primary aim of this exploratory study was to examine qualitatively and quantitatively the effects of rumination, mindful breathing, and distraction on processing styles and the meal time experience in women with a history of anorexia nervosa (AN). METHOD: A quasi-experimental within-participant design was employed. Thirty-seven women with history of AN and all experiencing current eating disorder psychopathology listened to a single rumination, mindful breathing and distraction exercise before a meal time. Qualitative and quantitative analyses were employed. RESULTS: Specific themes were extracted for each exercise including avoidance, being in the moment and rumination. The rumination exercise led to significantly greater analytical self-focus. Mindful breathing led to significantly greater experiential self-focus compared with distraction in partially weight-restored AN participants. CONCLUSIONS: In AN, self-material is processed in a ruminative way and avoidance is valued. It is difficult to shift individuals with AN out of a rumination around meal times using brief mindful breathing. Future research should investigate at what stage of AN illness mindful-based and acceptance-based strategies are useful and how these strategies could be incorporated in treatment.

Eating and Exercise Behaviors of University Students by Weight Change Status / 대한지역사회영양학회지

Young adults are likely to start a new life style which may cause weight gain or obesity since leaving their parents for higher education or university. Whilst young people are slim in general, it is common to see them trying to manage their weight. Few studies have been carried out in Korea to support those changes in lifestyle that can result in weight gain in early adulthood. This study aims to identify prevalence of dieting as well as factors inducing weight gain among university students under unrestricted living conditions. A total of 99 university students were enrolled and asked to complete a questionnaire over a 3-day study period from June to September, 2008. T-test and chi-square-test were applied to compare each behavior between weight gainers and maintainers. Logistic regression was also used for further analysis. Half of the participants used 'eat less' and 'exercise' as a way of dieting, and weight gainers tried to control their weight significantly more than weight maintainers. Most participants were engaged in very little exercise and were more likely to watch TV and use a computer. The time of lunch was proven as the only factor to predict weight change in the participants. As a result of this study, an intervention to promote exercise with friends or as a group is required to makeup for the lack of exercise among young adults. Further studies are also necessary to investigate how each meal time a day relates to the amount of food eaten.