Mediation Intake: Fill & Download for Free

Being a medical student , you have to be flexible with your routines and habbits.But recently to get better prespectives I started doing- MEDITATIONJust started my journey with a 15 min focused breathing mediation. It's too early to tell the result or affects as I have just started , will let you know after a month or so .-NO SUGARY FOODBeing a gym rat, I like doing my workouts and follow a healthy eating diet with focusing just on daily calorie intake not on quality of food , but for couple of months I stopped making progress in my physique ( just like hitting a plateau )So I decided to take things in my own hand and made my self to follow a strict diet plan with no sugary food.Before my diet , pretty decent I guess !!After 2 months of NO SUGAR .PS:- I did one or two cheat meals in that period too !!*cravings I guess

Puberty and observed energy intake: boy, can they eat!1234Background Eating food away from home and restaurant consumption have increased over the past few decades. Purpose To examine recent changes in calories from fast-food and full-service restaurant consumption and to assess characteristics associated with consumption. Methods Analyses of 24-hour dietary recalls from children, adolescents, and adults using nationally representative data from the 2003a2004 through 2007a2008 National Health and Nutrition Examination Surveys, including analysis by gender, ethnicity, income and location of consumption. Multivariate regression analyses of associations between demographic and socioeconomic characteristics and consumption prevalence and average daily caloric intake from fast-food and full-service restaurants. Results In 2007a2008, 33%, 41% and 36% of children, adolescents and adults, respectively, consumed foods and/or beverages from fast-food restaurant sources and 12%, 18% and 27% consumed from full-service restaurants. Their respective mean caloric intake from fast food was 191 kcal, 404 kcal, and 315 kcal, down by 25% (pa0.05), 3% and 9% from 2003a2004; and among consumers, intake was 576 kcal, 988 kcal, and 877 kcal, respectively, down by 12% (pa0.05), 2% and 7%. There were no changes in daily calories consumed from full-service restaurants. Consumption prevalence and average daily caloric intake from fast-food (adults only) and full-service restaurants (all age groups) were higher when consumed away from home versus at home. There were some demographic and socioeconomic associations with the likelihood of fast-food consumption, but characteristics were generally not associated with the extent of caloric intake among those who consumed from fast-food or from full-service restaurants. Conclusions In 2007a2008, fast-food and full-service restaurant consumption remained prevalent and a source of substantial energy intake. PMID:23079172More How to Grow Taller at Any AgeWhile the inverse association between socioeconomic status (SES) and obesity in high gross domestic product countries is well established using observational data, the extent to which the association is due to a true causal effect of SES and, if so, the mechanisms of this effect remain incompletely known. To assess the influence of social status on obesity via energy intake, we randomized individuals to a higher or lower social status and observed subsequent energy intake. College students between the ages of 18 and 25 were randomized to social status and were operationalized as being a leader or follower in a partner activity as purportedly determined by a (bogus) test of leadership ability. Investigators were blinded to treatment assignment. Immediately after being told their leadership assignment, paired participants were provided with platters of food. Energy intake was objectively measured in kilocalories (kcal) consumed, and paired t-tests were used to test for significant differences in intake between leaders and followers. A total of 60 participants were included in the final analysis (malesa=a28, femalesa=a32). Overall, no difference in energy intake was observed between leaders and followers, consuming an average of 575.3 and 579.8akcal, respectively (diffa=a4.5 kcal, Pa=a0.94). The null hypothesis of no effect of social status, operationalized as assignment to a leadership position in a small-group activity, on energy intake was not rejected. A 2017 World Obesity Federation.A passive system to determine the in-flight intake of nutrients is developed. Nonabsorbed markers placed in all foods in proportion to the nutrients selected for study are analyzed by neutron activation analysis. Fecal analysis for each market indicates how much of the nutrients were eaten and apparent digestibility. Results of feasibility tests in rats, mice, and monkeys indicate the diurnal variation of several markers, the transit time for markers in the alimentary tract, the recovery of several markers, and satisfactory use of selected markers to provide indirect measurement of apparent digestibility. Recommendations are provided for human feasibility studies.Underreporting of energy intake is not much studied in hemodialysis population. To evaluate the underreporting of energy intake and associated factors in hemodialysis patients. A cross-sectional study, with 344 patients stable adults, of ten hemodialysis centers in GoiAnia-GO. Energy intake was assessed by six 24-hour dietary recalls and basal metabolic rate (BMR) was estimated using the Harris Benedict equation. It was considered as underreporting when the ratio between the average energy intake and basal metabolic rate was lower than1.27. For analysis of factors associated with underreporting, the Poisson regression with robust variance estimation was applied. The prevalence of underreporting was 65.7%, being more significant in individuals who are overweight and in the non dialysis days. The result of the multivariate analysis identified four factors independently associated with the underreporting: being a female (PR = 1.27, CI = 1.10 to 1.46), body mass index a 25 kg/m2 (PR = 1.29, CI = 1.12 to 1.48), three meals or lower/day (PR = 1.31, CI = 1.14 to 1.51) and hemodialysis length lower than 5 years (PR = 1.19CI = 1.01 to 1.40). The population showed a high prevalence of underreporting of energy intake. Being a female, presenting overweight, lower number of meals/day and lower length time on hemodialysis were factors associated with underreporting.In the context of the worldwide epidemic of obesity affecting men and women of all ages, it is important to understand the mechanisms that control human appetite, particularly those that allow the adjustment of energy intake to energy needs. Satiety is one important psycho-biological mechanism whose function is to inhibit intake following the ingestion of a food or a beverage. According to the classical theories of appetite control, satiety is influenced by macronutrient intake and/or metabolism. Satiety also seems to be modified by micronutrients, non-nutrients, and some bioactive food constituents. Under optimal conditions, satiety should be well connected with hunger and satiation in a way that spontaneously leads to a close match between energy intake and expenditures. However, the current obesity epidemic suggests that dysfunctions often affect satiety and energy intake. In this regard, this paper presents a conceptual integration that hopefully will help health professionals address satiety issues and provide the public with informed advice to facilitate appetite control.Objective: To examine how arguments at mealtimes relate to children’s daily energy intake. Design: A cross-sectional study using data obtained through the Quebec Longitudinal Study of Child Development 1998–2010 (QLSCD), a representative sample of children born in 1998, in the province of Quebec, Canada. Setting: Face-to-face interviews,aObjective: To examine how arguments at mealtimes relate to children’s daily energy intake. Design: A cross-sectional study using data obtained through the Quebec Longitudinal Study of Child Development 1998–2010 (QLSCD), a representative sample of children born in 1998, in the province of Quebec, Canada. Setting: Face-to-face interviews,aThe energy density (ED; kcal/g) of an entrAe influences children’s energy intake (EI), but the effect of simultaneously changing both ED and portion size of an entrAe on preschool children’s EI is unknown. In this within-subject crossover study, 3- to 5-year-old children (30 boys, 31 girls) in a day…To determine the energy intake (EI) required to maintain body weight (equilibrium energy intake: EEI), we investigated the relationship between calculated energy intake and body weight changes in female subjects participating in 14 human balance studies (n=149) conducted at the National Institute of Health and Nutrition (Tokyo). In four and a half studies (n=43), sweat was collected from the arm to estimate loss of minerals through sweating during exercise on a bicycle ergometer; these subjects were classified in the exercise group (Ex G). In nine and a half experiments (n=106) subjects did not exercise, and were classified in the sedentary group (Sed G). The relationship between dietary energy intake (EI) and body weight (BW) changes (IBW) was analyzed and divided by four variables: body weight (BW), lean body mass (LBM), standard body weight (SBW), and body surface area (BSA). Equilibrium energy intake (EEI) and 95% confidence interval (CI) for EEI in Ex G were 34.3 and 32.8–35.9 kcal/kg BW/d, 32.0 and 30.8–33.1 kcal/kg SBW/d, 46.3 and 44.2–48.5 kcal/kg LBW/d, and 1,200 and 1,170–1,240 kcal/m(2) BSA/d, respectively. EEI and 95% CI for EEI in Sed G were 34.5 and 33.9–35.1 kcal/kg BW/d, 31.4 and 30.9–32.0 kcal/kg SBW/d, 44.9 and 44.1–45.8 kcal/kg LBM/d, and 1,200 and 1,180–1,210 kcal/m2 BSA/d, respectively. EEIs obtained in this study are 3 to 5% higher than estimated energy requirement (EER) for Japanese. In five out of six analyses, EER in a population (female, 18–29 y, physical activity level: 1.50) was under 95% CI of EEI obtained in this study.Background: Greater adiposity is an important risk factor for nonalcoholic fatty liver disease (NAFLD). Thus, it is likely that dietary intake is involved in the development of the disease. Prospective studies assessing the relation between childhood dietary intake and risk of NAFLD are lacking. Objective: This study was designed to explore associations between energy, carbohydrate, sugar, starch, protein, monounsaturated fat, polyunsaturated fat, saturated fat, and total fat intake by youth at ages 3, 7, and 13 y and subsequent (mean age: 17.8 y) ultrasound scan (USS)ameasured liver fat and stiffness and serum alanine aminotransferase, aspartate aminotransferase, and I3-glutamyltransferase. We assessed whether observed associations were mediated through fat mass at the time of outcome assessment. Methods: Participants were from the Avon Longitudinal Study of Parents and Children. Trajectories of energy and macronutrient intake from ages 3a13 y were obtained with linear-spline multilevel models. Linear and logistic regression models examined whether energy intake and absolute and energy-adjusted macronutrient intake at ages 3, 7, and 13 y were associated with liver outcomes. Results: Energy intake at all ages was positively associated with liver outcomes; for example, the odds of having a USS-measured liver fat per 100 kcal increase in energy intake at age 3 y were 1.79 (95% CI: 1.14, 2.79). Associations between absolute macronutrient intake and liver outcomes were inconsistent and attenuated to the null after adjustment for total energy intake. The majority of associations attenuated to the null after adjustment for fat mass at the time liver outcomes were assessed. Conclusion: Higher childhood and early adolescent energy intake is associated with greater NAFLD risk, and the macronutrients from which energy intake is derived are less important. These associations appear to be mediated, at least in part, by fat mass at the time of outcome assessment. PMID

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