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45,531 result(s) for "Food intake"
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Why calories count : from science to politics
\"Calories--too few or too many--are the source of health problems affecting billions of people in today's globalized world. Although calories are essential to human health and survival, they cannot be seen, smelled, or tasted. They are also hard to understand. In Why Calories Count, Marion Nestle and Malden Nesheim explain in clear and accessible language what calories are and how they work, both biologically and politically. As they take readers through the issues that are fundamental to our understanding of diet and food, weight gain, loss, and obesity, Nestle and Nesheim sort through a great deal of the misinformation put forth by food manufacturers and diet program promoters. They elucidate the political stakes and show how federal and corporate policies have come together to create an \"eat more\" environment. Finally, having armed readers with the necessary information to interpret food labels, evaluate diet claims, and understand evidence as presented in popular media, the authors offer some candid advice: Get organized. Eat less. Eat better. Move more. Get political\"--Provided by publisher.
Latent profile analysis reveals overlapping ARFID and shape/weight motivations for restriction in eating disorders
differentiates avoidant/restrictive food intake disorder (ARFID) from other eating disorders (EDs) by a lack of overvaluation of body weight/shape driving restrictive eating. However, clinical observations and research demonstrate ARFID and shape/weight motivations sometimes co-occur. To inform classification, we: (1) derived profiles underlying restriction motivation and examined their validity and (2) described diagnostic characterizations of individuals in each profile to explore whether findings support current diagnostic schemes. We expected, consistent with , that profiles would comprise individuals endorsing solely ARFID or restraint (i.e. trying to eat less to control shape/weight) motivations. We applied latent profile analysis to 202 treatment-seeking individuals (ages 10-79 years [ = 26, s.d. = 14], 76% female) with ARFID or a non-ARFID ED, using the Nine-Item ARFID Screen (Picky, Appetite, and Fear subscales) and the Eating Disorder Examination-Questionnaire Restraint subscale as indicators. A 5-profile solution emerged: Restraint/ARFID-Mixed ( = 24; 8% [ = 2] with ARFID diagnosis); ARFID-2 (with Picky/Appetite; = 56; 82% ARFID); ARFID-3 (with Picky/Appetite/Fear; = 40; 68% ARFID); Restraint ( = 45; 11% ARFID); and Non-Endorsers ( = 37; 2% ARFID). Two profiles comprised individuals endorsing solely ARFID motivations (ARFID-2, ARFID-3) and one comprising solely restraint motivations (Restraint), consistent with . However, Restraint/ARFID-Mixed (92% non-ARFID ED diagnoses, comprising 18% of those with non-ARFID ED diagnoses in the full sample) endorsed ARFID restraint motivations. The heterogeneous profiles identified suggest ARFID and restraint motivations for dietary restriction may overlap somewhat and that individuals with non-ARFID EDs can also endorse high ARFID symptoms. Future research should clarify diagnostic boundaries between ARFID and non-ARFID EDs.
Comparison of clinical presentation and management of children and adolescents with ARFID between paediatrics and child and adolescent psychiatry: a prospective surveillance study
ObjectiveTo compare the clinical presentations, management and outcomes of avoidant/restrictive food intake disorder (ARFID) across paediatric and child and adolescent (C&A) psychiatric settings.Study designProspective surveillance study.MethodsData were collected during a 13-month prospective surveillance study of children and adolescents with ARFID in the UK and Republic of Ireland. Paediatricians reported cases via the British Paediatric Surveillance Unit and psychiatrists through the Child and Adolescent Psychiatry Surveillance System. A follow-up questionnaire was sent at 12 months after a case of ARFID was reported.Results319 cases were included, 189 from paediatricians and 130 from C&A psychiatrists. Patients presenting to paediatricians were younger (9.8 years vs 13.7 years), more often male (62.4% vs 43.1%), and had more chronic symptoms (80.4% vs 67.0%), selective eating (63.7% vs 46.6%) and comorbid autism (67.6% vs 50.0%) than to psychiatrists. Psychiatrists saw patients with more fear of aversive consequences from eating (13.1% vs 3.2%), weight loss (76.7% vs 65.0%) and comorbid anxiety (78.2% vs 47.4%). Patients presenting to paediatricians more often received medical monitoring (74.6% vs 53.1%), dietetic advice (83.1% vs 70.0%) and nutritional supplements (49.2% vs 30.0%). At follow-up, both cohorts improved in nutritional status. However, the psychiatric cohort improved more regarding disordered eating behaviours.ConclusionsThe presentation and management of ARFID differs across clinical settings. Findings suggest the need to develop clinical pathways for ARFID assessment and management across paediatrics and mental health. Our findings highlight the potential benefits of psychiatric input for some patients with ARFID.
Association between avoidant/restrictive food intake disorder risk, dietary attitudes and behaviors among Chinese patients with inflammatory bowel disease: a cross-sectional study
Background Restrictive eating behaviors are common among patients with inflammatory bowel disease (IBD), which may may develop nutritional and/or quality of life impairments into avoidant/restrictive food intake disorder (ARFID). The objective of this study is to estimate the prevalence and characteristics of ARFID in Chinese patients with IBD, and to investigate the current perceptions and dietary behaviors of patients with and without ARFID. Methods A cross-sectional study was conducted in gastroenterology clinics of four tertiary hospitals in China. Patients with IBD were asked to complete a structured questionnaire including demographic characteristics, dietary attitudes and behaviors. The diagnosis of ARFID was established using Chinese version of the Nine-Item Avoidant/Restrictive Food Intake Disorder Screen questionnaire. Results A total of 483 patients with IBD completed the questionnaires, and 20.3% met clinical criteria for ARFID. The average score of ARFID was 21.9 (interquartile range = 17.0–26.0). Multivariable binary logistic regression results showed that patients with Crohn’s disease (OR = 0.483, 95%CI = 0.280–0.835; p  = 0.009), being in an active disease state (OR = 0.220, 95%CI = 0.123–0.392; p  < 0.001), holding dietary attitudes regarding symptom control (OR = 2.431, 95%CI = 1.299–4.548; p  = 0.005), and reporting a specific dietary history (OR = 27.158, 95%CI = 3.679-200.456; p  = 0.001) were significant more likely to suffer from ARFID. Conclusions ARFID is a common problem among patients with IBD. The incidence of ARFID is particularly high among patients with Crohn’s disease, during relapse, and those who hold restrictive dietary attitudes or have a history of specific diets. Therefore, it is imperative to prioritize routine screening and early identification of ARFID, especially among high-risk populations, in future research and clinical practice. Trial registration ChiCTR2100051539, on 26 September 2021. Plain English Summary Restrictive eating behaviors are common among patients with inflammatory bowel disease (IBD), which may may develop nutritional and/or quality of life impairments into avoidant/restrictive food intake disorder (ARFID). This study aimed to estimate the prevalence and characteristics of ARFID in Chinese patients with IBD, and to investigate the current attitudes and dietary behaviors of patients with and without ARFID. Participants comprised 483 patients with IBD from gastroenterology clinics of four tertiary hospitals in China. Participants completed a comprehensive questionnaire that encompassed demographic characteristics, dietary attitudes, and behaviors. Following screening with the Chinese version of the Nine-Item Avoidant/Restrictive Food Intake Disorder Screen questionnaire, it was found that 20.3% of participants met the clinical criteria for ARFID. The findings suggest that individuals with IBDmay exhibit a heightened vulnerability to ARFID. Moreover, the likelihood of ARFID was found to be significantly associated with four factors among patients with IBD, namely having Crohn’s disease, being in an active disease state, holding attitudes towards symptom management, and reporting a specific dietary history. Therefore, it is imperative to prioritize routine screening and early identification of ARFID, especially among high-risk populations, in future research and clinical practice.
Avoidant/Restrictive Food Intake Disorder in Celiac Disease
Celiac disease (CeD) is an autoimmune disorder where adherence to a lifelong gluten-free diet (GFD) is the only available treatment. While this approach is rather effective, some patients experience ongoing symptoms, and this factor, along with the rigidity of the GFD, may predispose some to disordered eating behaviors, including Avoidant/Restrictive Food Intake Disorder (ARFID). ARFID is characterized by persistent food avoidance that is not driven by body image concerns, resulting in nutritional, psychological, and social impairment. This scoping literature review explores the emerging intersection between ARFID and CeD, examining prevalence, pathophysiology, clinical features, complications, and management strategies. Recent studies report that 14–57% of individuals with CeD may meet the criteria for ARFID, depending on the population and screening tools used. Factors contributing to ARFID in CeD may include ongoing gastrointestinal symptoms, anxiety over gluten exposure, negative conditioned responses to food, social challenges related to GFD adherence, and psychiatric co-morbidities. ARFID in CeD is associated with worsened nutritional deficiencies, anxiety, depression, and impaired social functioning, making the diagnosis of ARFID challenging due to symptom overlap with CeD and other psychiatric conditions. Management requires a multidisciplinary approach, including medical, nutritional, and psychological interventions. Routine screening, early intervention, and integrated care models may improve outcomes and quality of life.
A Multicenter Study to Assess Avoidant/Restrictive Food Intake Disorder in Patients with Inflammatory Bowel Disease
Abstract Background and Aims Disordered eating is frequently reported in patients with inflammatory bowel disease (IBD). We aimed to describe the prevalence of avoidant restrictive food intake disorder (ARFID) in patients with IBD and to identify predictors of ARFID. Methods Patients with IBD at 2 academic medical centers completed questionnaires including the ARFID subscale of the Pica, ARFID, and Rumination Disorder Questionnaire (PARDI-AR-Q), disease characteristics, and psychosocial variables. IBD disease activity was determined by a review of objective data within 90 days of survey completion. Results Three hundred and twenty-five participants completed the questionnaires (56% female, average age 47.60 years, 49.5% Crohn’s disease (CD), 45.5% ulcerative colitis (UC)). Using the PARDI-AR-Q, 17.8% of the total sample screened positive for ARFID. ARFID+ respondents were younger, had shorter disease duration, and worse psychosocial functioning compared to ARFID-. A higher percentage of ARFID+ patients had objective disease activity compared to ARFID- (51% vs. 40%), but this was not statistically significant. There was no statistical difference in ARFID rates between patients with CD compared to UC. In patients with inactive disease only, 16.3% screened positive for ARFID. In hierarchical logistic regression, the only significant predictor of ARFID among patients with inactive IBD was GI-specific anxiety. Conclusions In this multi-center study, 16.3% of patients with inactive IBD met the criteria for ARFID, and 17.8% of all patients met the criteria regardless of objective disease activity. GI-specific anxiety was the only predictor of ARFID among patients with inactive IBD, highlighting the need for multidisciplinary care in IBD. Lay Summary Higher rates of ARFID are reported in IBD, but prior studies have not utilized DSM-5 criteria. In a multi-site study, 17.8% of all patients with IBD (n = 325) and 16.3% of patients with no objective disease activity met ARFID criteria using DSM-5 criteria.
Fussy eating' or avoidant/restrictive food intake disorder?
Avoidance/restrictive food intake disorder (ARFID) is a recently identified mental health condition that describes challenges in eating behaviours that means a person's energy or nutritional needs are not met. Characterised by weight loss, nutritional deficiencies, the need for food supplements and other health problems, little is known about the aetiology, epidemiology and treatment of ARFID. Increasing awareness in the dental team of ARFID as a recognised eating disorder is important to support prevention and clinical treatment for those already diagnosed with the condition, and to recognise and identify ARFID so that appropriate medical, psychological, nutritional and social support can be recommended in those unaware of the disorder. As a relatively recently identified medical condition, the impact of ARFID on the general oral health at this present time also requires further elucidation. Key points Avoidance/restrictive food intake disorder (ARFID) is a recently identified eating disorder. Signs, symptoms and characteristics are discussed in the paper to aid dental healthcare workers in the recognition of ARFID. Present treatment modalities are overviewed, with putative oral manifestations of ARFID discussed.
Biomarkers of Nutrition and Health: New Tools for New Approaches
A main challenge in nutritional studies is the valid and reliable assessment of food intake, as well as its effects on the body. Generally, food intake measurement is based on self-reported dietary intake questionnaires, which have inherent limitations. They can be overcome by the use of biomarkers, capable of objectively assessing food consumption without the bias of self-reported dietary assessment. Another major goal is to determine the biological effects of foods and their impact on health. Systems analysis of dynamic responses may help to identify biomarkers indicative of intake and effects on the body at the same time, possibly in relation to individuals’ health/disease states. Such biomarkers could be used to quantify intake and validate intake questionnaires, analyse physiological or pathological responses to certain food components or diets, identify persons with specific dietary deficiency, provide information on inter-individual variations or help to formulate personalized dietary recommendations to achieve optimal health for particular phenotypes, currently referred as “precision nutrition.” In this regard, holistic approaches using global analysis methods (omics approaches), capable of gathering high amounts of data, appear to be very useful to identify new biomarkers and to enhance our understanding of the role of food in health and disease.
A Diet High in Processed Foods, Total Carbohydrates and Added Sugars, and Low in Vegetables and Protein Is Characteristic of Youth with Avoidant/Restrictive Food Intake Disorder
Avoidant/restrictive food intake disorder (ARFID) is characterized in part by limited dietary variety, but dietary characteristics of this disorder have not yet been systematically studied. Our objective was to examine dietary intake defined by diet variety, macronutrient intake, and micronutrient intake in children and adolescents with full or subthreshold ARFID in comparison to healthy controls. We collected and analyzed four-day food record data for 52 participants with full or subthreshold ARFID, and 52 healthy controls, aged 9–22 years. We examined frequency of commonly reported foods by logistic regression and intake by food groups, macronutrients, and micronutrients between groups with repeated-measures ANOVA. Participants with full or subthreshold ARFID did not report any fruit or vegetable category in their top five most commonly reported food categories, whereas these food groups occupied three of the top five groups for healthy controls. Vegetable and protein intake were significantly lower in full or subthreshold ARFID compared to healthy controls. Intakes of added sugars and total carbohydrates were significantly higher in full or subthreshold ARFID compared to healthy controls. Individuals with full or subthreshold ARFID had lower intake of vitamins K and B12, consistent with limited vegetable and protein intake compared to healthy controls. Our results support the need for diet diversification as part of therapeutic interventions for ARFID to reduce risk for nutrient insufficiencies and related complications.
Sleep deprivation in development of obesity, effects on appetite regulation, energy metabolism, and dietary choices
Sleep deprivation, which is a decrease in duration and quality of sleep, is a common problem in today’s life. Epidemiological and interventional investigations have suggested a link between sleep deprivation and overweight/obesity. Sleep deprivation affects homeostatic and non-homoeostatic regulation of appetite, with the food reward system playing a dominant role. Factors such as sex and weight status affect this regulation; men and individuals with excess weight seem to be more sensitive to reward-driven and hedonistic regulation of food intake. Sleep deprivation may also affect weight through affecting physical activity and energy expenditure. In addition, sleep deprivation influences food selection and eating behaviours, which are mainly managed by the food reward system. Sleep-deprived individuals mostly crave for palatable energy-dense foods and have low desire for fruit and vegetables. Consumption of meals may not change but energy intake from snacks increases. The individuals have more desire for snacks with high sugar and saturated fat content. The relationship between sleep and the diet is mutual, implying that diet and eating behaviours also affect sleep duration and quality. Consuming healthy diets containing fruit and vegetables and food sources of protein and unsaturated fats and low quantities of saturated fat and sugar may be used as a diet strategy to improve sleep. Since the effects of sleep deficiency differ between animals and humans, only evidence from human subject studies has been included, controversies are discussed and the need for future investigations is highlighted.