Eating Disorders: Automatic Food Intake Detection Based on Swallowing Sounds.
Automatic food intake detection based on swallowing sounds.
Filed under: Eating Disorders
Biomed Signal Process Control. 2012 Nov 1; 7(6): 649-656
Makeyev O, Lopez-Meyer P, Schuckers S, Besio W, Sazonov E
This paper presents a novel fully automatic food intake detection methodology, an important step toward objective monitoring of ingestive behavior. The aim of such monitoring is to improve our understanding of eating behaviors associated with obesity and eating disorders. The proposed methodology consists of two stages. First, acoustic detection of swallowing instances based on mel-scale Fourier spectrum features and classification using support vector machines is performed. Principal component analysis and a smoothing algorithm are used to improve swallowing detection accuracy. Second, the frequency of swallowing is used as a predictor for detection of food intake episodes. The proposed methodology was tested on data collected from 12 subjects with various degrees of adiposity. Average accuracies of >80% and >75% were obtained for intra-subject and inter-subject models correspondingly with a temporal resolution of 30s. Results obtained on 44.1 hours of data with a total of 7305 swallows show that detection accuracies are comparable for obese and lean subjects. They also suggest feasibility of food intake detection based on swallowing sounds and potential of the proposed methodology for automatic monitoring of ingestive behavior. Based on a wearable non-invasive acoustic sensor the proposed methodology may potentially be used in free-living conditions.
HubMed – eating
Automatic identification of the number of food items in a meal using clustering techniques based on the monitoring of swallowing and chewing.
Filed under: Eating Disorders
Biomed Signal Process Control. 2012 Sep 1; 7(5): 474-480
Lopez-Meyer P, Schuckers S, Makeyev O, Fontana JM, Sazonov E
The number of distinct foods consumed in a meal is of significant clinical concern in the study of obesity and other eating disorders. This paper proposes the use of information contained in chewing and swallowing sequences for meal segmentation by food types. Data collected from experiments of 17 volunteers were analyzed using two different clustering techniques. First, an unsupervised clustering technique, Affinity Propagation (AP), was used to automatically identify the number of segments within a meal. Second, performance of the unsupervised AP method was compared to a supervised learning approach based on Agglomerative Hierarchical Clustering (AHC). While the AP method was able to obtain 90% accuracy in predicting the number of food items, the AHC achieved an accuracy >95%. Experimental results suggest that the proposed models of automatic meal segmentation may be utilized as part of an integral application for objective Monitoring of Ingestive Behavior in free living conditions.
HubMed – eating
Pervasive refusal syndrome among inpatient asylum-seeking children and adolescents: a follow-up study.
Filed under: Eating Disorders
Eur Child Adolesc Psychiatry. 2012 Nov 3;
Forslund CM, Johansson BA
BACKGROUND: Pervasive refusal syndrome (PRS) is a rare but severe condition, characterised by social withdrawal and a pervasive active refusal in terms of eating, mobilisation, speech and personal hygiene. PRS has been proposed as a new diagnostic entity in child and adolescent psychiatry, although the diagnostic criteria are debated. In the past 10 years there has been an increase in PRS symptoms among asylum-seeking children and adolescents in Sweden. Here, we describe five cases of PRS among asylum-seeking children and adolescents. METHOD: Three females and 2 males, 7-17 years of age with the clinical picture of PRS, treated as inpatients at the Department of Child and Adolescent Psychiatry, Malmö, Sweden, 2002-2010, were analysed on the basis of their medical records. Subjects were diagnosed using previously suggested criteria for PRS. At follow-up, a semi-structured interview focusing on the inpatient stay and current status was performed. The subjects were assessed with Global Assessment of Functioning (GAF) and self-rating questionnaires regarding depression and post-traumatic stress disorder (PTSD). RESULTS: The pattern of refusal varied among the five subjects. All subjects originated from former Soviet republics, indicating a possible cultural factor. Mean period of inpatient treatment was 5 months. All subjects received intense nursing and were treated with nasogastric tube feeding. Parents were involved and were given support and instructions. All subjects gradually improved after receiving permanent residency permits. Depression and PTSD were co-morbid states. At follow-up, 1-8 years after discharge, all subjects were recovered. CONCLUSION: Although a severe condition, our five cases suggest a good prognosis for PRS among asylum-seeking children and adolescents.
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Factors Associated with Depressive Symptoms in the Early Postpartum Period Among Women with Recent Gestational Diabetes Mellitus.
Filed under: Eating Disorders
Matern Child Health J. 2012 Nov 3;
Nicklas JM, Miller LJ, Zera CA, Davis RB, Levkoff SE, Seely EW
Women with gestational diabetes mellitus (GDM) have a substantial risk of subsequently developing type 2 diabetes. This risk may be mitigated by engaging in healthy eating, physical activity, and weight loss when indicated. Since postpartum depressive symptoms may impair a woman’s ability to engage in lifestyle changes, we sought to identify factors associated with depressive symptoms in the early postpartum period among women with recent GDM. The participants are part of the baseline cohort of the TEAM GDM (Taking Early Action for Mothers with Gestational Diabetes Mellitus) study, a one-year randomized trial of a lifestyle intervention program for women with a recent history of GDM, conducted in Boston, Massachusetts between June 2010 and September 2012. We administered the Edinburgh Postnatal Depression Scale (EPDS) at 4-15 weeks postpartum to women whose most recent pregnancy was complicated by GDM (confirmed by laboratory data or medical record review). An EPDS score ?9 indicated depressive symptoms. We measured height and thyroid stimulating hormone, and administered a questionnaire to collect demographic data and information about breastfeeding and sleep. We calculated body mass index (BMI) using self-reported pre-pregnancy weight and measured height. We reviewed medical records to obtain data about medical history, including history of depression, mode of delivery, and insulin use during pregnancy. We conducted bivariable analyses to identify correlates of postpartum depressive symptoms, and then modeled the odds of postpartum depressive symptoms using multivariable logistic regression. Our study included 71 women (mean age 33 years ± 5; 59 % White, 28 % African-American, 13 % Asian, with 21 % identifying as Hispanic; mean pre-pregnancy BMI 30 kg/m(2) ± 6). Thirty-four percent of the women scored ?9 on the EPDS at the postpartum visit. In the best fit model, factors associated with depressive symptoms at 6 weeks postpartum included cesarean delivery (aOR 4.32, 95 % CI 1.46, 13.99) and gestational weight gain (aOR 1.21 [1.02, 1.46], for each additional 5 lbs gained). Use of insulin during pregnancy, breastfeeding, personal history of depression, and lack of a partner were not retained in the model. Identifying factors associated with postpartum depression in women with GDM is important since depression may interfere with lifestyle change efforts in the postpartum period. In this study, cesarean delivery and greater gestational weight gain were correlated with postpartum depressive symptoms among women with recent GDM (Clinicaltrials.gov NCT01158131).
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A Qualitative Study of Nutritional Behaviors in Adults With Multiple Sclerosis.
Filed under: Eating Disorders
J Neurosci Nurs. 2012 Dec; 44(6): 337-350
Plow M, Finlayson M
ABSTRACT: Few studies have explored how people living with multiple sclerosis (MS) cope with impairments and disability to participate in nutritional behaviors, such as meal preparation and grocery shopping. Thus, we conducted a qualitative study among eight individuals with MS who experienced mobility impairments. The eight individuals participated in semistructured, face-to-face interviews that focused on obtaining narratives about day-to-day dietary habits, preparing food, grocery shopping, and going to restaurants. Interviews were analyzed using an inductive category and theme development approach. Overall themes were (a) “it’s a lot of work,” (b) “it’s not just up to me,” (c) sifting through nutritional information, and (d) “why I eat what I eat.” Participants frequently reported fatigue and mobility impairments as barriers to engagement in nutritional behaviors and often described family members as the “gatekeepers” for food selection and preparation (i.e., providing tangible support). Future research should explore the effectiveness of nutritional interventions that target family dynamics and create a supportive social environment to promote healthy eating habits and nutritional autonomy.
HubMed – eating
THIN – Eating disorders – Part 10 – THIN, directed by Lauren Greenfield and distributed by HBO, is an exploration of The Renfrew Center in Coconut Creek, Florida; a 40-bed residential facility for the treatment of women with eating disorders. The film mostly revolves around four women with anorexia nervosa and/or bulimia and their struggles for recovery.
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