• [DOI] J. M. de Castro, “Eating behavior: lessons from the real world of humans,” , vol. 16, iss. 10, p. 800–813.
    title = {Eating Behavior: Lessons from the Real World of Humans},
    volume = {16},
    doi = {10.1016/S0899-9007(00)00414-7},
    abstract = {Food intake by normal humans has been investigated both in the laboratory and under free-living conditions in the natural environment. For measurement of real-world intake, the diet-diary technique is imperfect and tends to underestimate actual intakes but it appears to be sensitive, can detect subtle influences on eating behavior, and produces reliable and valid measures. Research studies in the real world show the multivariate richness of the natural environment, which allows investigation of the complexities of intake regulation, and even causation can be investigated. Real-world research can overcome some of the weaknesses of laboratory studies, where constraints on eating are often removed or missing, facilitatory influences on eating are often controlled or eliminated, the importance of variables can be overestimated, and important influences can be missed because of the short durations of the studies. Real-world studies have shown a wide array of physiologic, psychological, and social variables that can have potent and immediate effects on intake. Compensatory mechanisms, including some that operate with a 2- to 3-d delay, adjust for prior excesses. Heredity affects all aspect of food-intake regulation, from the determination of body size to the subtleties of the individual preferences and social proclivities and the extent to which environmental factors affect the individual. Hence, real-world research teaches valuable lessons, and much more is needed to complement laboratory studies.},
    timestamp = {2016-03-29T22:41:54Z},
    langid = {english},
    number = {10},
    journaltitle = {Nutrition},
    author = {de Castro, J. M.},
    date = {2000-10},
    pages = {800--813},
    keywords = {Appetite Regulation,Diet,Diet Records,Eating,Feeding Behavior,Humans,physiology,physiology/psychology,Questionnaires,Reproducibility of Results,Research Design,Seasons,Social Environment,Time Factors},
    medline-pst = {ppublish},
    owner = {oamft},
    pii = {S0899-9007(00)00414-7},
    eprinttype = {pmid},
    eprint = {11054584}
  • [DOI] C. Celis-Morales, K. M. Livingstone, C. F. Marsaux, A. L. Macready, R. Fallaize, C. B. O’Donovan, C. Woolhead, H. Forster, M. C. Walsh, S. Navas-Carretero, R. San-Cristobal, L. Tsirigoti, C. P. Lambrinou, C. Mavrogianni, G. Moschonis, S. Kolossa, J. Hallmann, M. Godlewska, A. Surwiłło, I. Traczyk, C. A. Drevon, J. Bouwman, B. van Ommen, K. Grimaldi, L. D. Parnell, J. N. Matthews, Y. Manios, H. Daniel, A. J. Martinez, J. A. Lovegrove, E. R. Gibney, L. Brennan, W. H. Saris, M. Gibney, Mathers, J. C, and F. on behalf of the Study, “Effect of personalized nutrition on health-related behaviour change: evidence from the Food4Me European randomized controlled trial,” , vol. 46, iss. 2, p. 578–588.
    title = {Effect of Personalized Nutrition on Health-Related Behaviour Change: Evidence from the {{Food4Me European}} Randomized Controlled Trial},
    volume = {46},
    issn = {0300-5771},
    url = {},
    doi = {10.1093/ije/dyw186},
    shorttitle = {Effect of Personalized Nutrition on Health-Related Behaviour Change},
    abstract = {Abstract. Background: Optimal nutritional choices are linked with better health, but many current interventions to improve diet have limited effect. We tested},
    timestamp = {2020-10-22T20:48:25Z},
    langid = {english},
    number = {2},
    journaltitle = {International Journal of Epidemiology},
    shortjournal = {Int J Epidemiol},
    author = {Celis-Morales, Carlos and Livingstone, Katherine M. and Marsaux, Cyril FM and Macready, Anna L. and Fallaize, Rosalind and O’Donovan, Clare B. and Woolhead, Clara and Forster, Hannah and Walsh, Marianne C. and Navas-Carretero, Santiago and San-Cristobal, Rodrigo and Tsirigoti, Lydia and Lambrinou, Christina P. and Mavrogianni, Christina and Moschonis, George and Kolossa, Silvia and Hallmann, Jacqueline and Godlewska, Magdalena and Surwiłło, Agnieszka and Traczyk, Iwona and Drevon, Christian A. and Bouwman, Jildau and van Ommen, Ben and Grimaldi, Keith and Parnell, Laurence D. and Matthews, John NS and Manios, Yannis and Daniel, Hannelore and Martinez, J. Alfredo and Lovegrove, Julie A. and Gibney, Eileen R. and Brennan, Lorraine and Saris, Wim HM and Gibney, Mike and Mathers and John C and Study, on behalf of the Food4Me},
    urldate = {2020-10-22},
    date = {2017-04-01},
    pages = {578--588},
    options = {useprefix=true}
  • [DOI] J. Cheng, B. Zhou, K. Kunze, C. C. Rheinländer, S. Wille, N. Wehn, J. Weppner, and P. Lukowicz, “Activity Recognition and Nutrition Monitoring in Every Day Situations with a Textile Capacitive Neckband,” in Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, 2013, p. 155–158.
    location = {{New York, NY, USA}},
    title = {Activity {{Recognition}} and {{Nutrition Monitoring}} in {{Every Day Situations}} with a {{Textile Capacitive Neckband}}},
    isbn = {978-1-4503-2215-7},
    url = {},
    doi = {10.1145/2494091.2494143},
    abstract = {We build on previous work [5] that demonstrated, in simple isolated experiments, how head and neck related events (e.g. swallowing, head motion) can be detected using an unobtrusive, textile capacitive sensor integrated in a collar like neckband. We have now developed a 2nd generation that allows long term recording in real life environments in conjunction with a low power Bluetooth enabled smart phone. It allows the system to move from the detection of individual swallows which is too unreliable for practical applications to an analysis of the statistical distribution of swallow frequency. Such an analysis allows the detection of "nutrition events" such as having lunch or breakfast. It also allows us to see the general level of activity and distinguish between just being absolutely quiet (no motion) and sleeping. The neckband can be useful in a variety of applications such as cognitive disease monitoring and elderly care.},
    timestamp = {2017-05-03T18:58:29Z},
    booktitle = {Proceedings of the 2013 {{ACM Conference}} on {{Pervasive}} and {{Ubiquitous Computing Adjunct Publication}}},
    series = {UbiComp '13 Adjunct},
    publisher = {{ACM}},
    author = {Cheng, Jingyuan and Zhou, Bo and Kunze, Kai and Rheinländer, Carl Christian and Wille, Sebastian and Wehn, Norbert and Weppner, Jens and Lukowicz, Paul},
    urldate = {2016-03-30},
    date = {2013},
    pages = {155--158},
    keywords = {activity recognition,capacitive sensing,nutrition monitoring,wearable computing}
  • [DOI] M. S. Faith and K. L. Keller, “Genetic architecture of ingestive behavior in humans.,” , vol. 20, iss. 1, p. 127–133.
    title = {Genetic Architecture of Ingestive Behavior in Humans.},
    volume = {20},
    url = {},
    doi = {10.1016/j.nut.2003.09.022},
    abstract = {Identifying genetic influences on human ingestive behavior and the causal pathways linking eating and obesity is an important research challenge in the ?postgenomic? era. That obesity results from excess energy intake relative to expenditure implicates the central role of eating for sustained positive energy balance. However, there are considerable logistical hurdles to the measurement and controlled study of human eating behavior. Most genetics studies consequently have focused on metabolic and physiologic traits rather than on eating traits.1 Nevertheless, those studies that have focused on eating behavior have begun to yield rich information about the genetic and environmental architecture of human ingestive behavior and its relation to variations in body fat. This review provides an overview of studies that have addressed genetic influences on human ingestive behavior. We focus on studies that ascertained biologically related individuals to address, at the broadest level, whether variations in genetic relatedness are associated with variations in eating behavior or responsiveness to overfeeding or underfeeding. Our aims are to provide a broad organizational framework for summarizing existent research, to review illustrative studies within that framework, and to review methodologic considerations in the selection of ingestive behavior phenotypes for genetics studies. Additional reviews on this topic can been found elsewhere. The studies reviewed herein were selected primarily because they are useful exemplars for the proposed organizational framework. The studies are varied and include seminal papers published a number of years ago and more recent and provocative findings. Other studies, equally influential and illustrative, were excluded due to space limitations.},
    timestamp = {2016-03-29T22:41:54Z},
    number = {1},
    journaltitle = {Nutrition},
    author = {Faith, Myles S. and Keller, Kathleen L.},
    date = {2004-01},
    pages = {127--133},
    keywords = {14698027,Adipose Tissue,Area Under Curve,Blood Glucose,Digestive System,Eating,Feeding Behavior,Genotype,Humans,Hunger,Obesity,Phenotype,P.H.S.,Postprandial Period,Research Support,Satiation,U.S. Gov't},
    owner = {oam},
    pii = {S0899900703002260},
    eprinttype = {pmid},
    eprint = {14698027}
  • [DOI] J. Grosser, T. Hofmann, A. Stengel, A. Zeeck, S. Winter, C. U. Correll, and V. Haas, “Psychological and nutritional correlates of objectively assessed physical activity in patients with anorexia nervosa,” , vol. 28, iss. 5, p. 559–570.
    title = {Psychological and Nutritional Correlates of Objectively Assessed Physical Activity in Patients with Anorexia Nervosa},
    volume = {28},
    issn = {1099-0968},
    doi = {10.1002/erv.2756},
    abstract = {BACKGROUND: Physical activity (PA) plays a role in the course of anorexia nervosa (AN).
    OBJECTIVE: To assess the association between PA, nutritional status and psychological parameters in patients with AN.
    METHOD: Using a wearable activity monitor, PA was assessed in 60 female AN inpatients, by step count and time spent in 4 metabolic equivalent (MET)-intensity levels: sedentary behaviour, light, moderate and vigorous PA. In addition, BMI, psychological (patient-reported outcome questionnaires) and nutritional parameters (body fat, energy and macronutrient intake) were assessed.
    RESULTS: The study population spent little time in vigorous PA. BMI on admission and discharge was higher when more time was spent in sedentary behaviour, and lower with more time spent in light PA. Relationships between PA and patient-reported outcomes were weak and limited to an association between vigorous PA and compulsiveness. Low fat mass was associated with more time spent in light PA, while subjects with higher step counts showed less intake of energy, carbohydrates and fat.
    CONCLUSION: The relationship between inadequate food intake and increased PA in patients with AN requires further investigation.},
    timestamp = {2021-01-21T17:05:53Z},
    langid = {english},
    number = {5},
    journaltitle = {European Eating Disorders Review: The Journal of the Eating Disorders Association},
    shortjournal = {Eur Eat Disord Rev},
    author = {Grosser, Julia and Hofmann, Tobias and Stengel, Andreas and Zeeck, Almut and Winter, Sibylle and Correll, Christoph U. and Haas, Verena},
    date = {2020-09},
    pages = {559--570},
    keywords = {Adolescent,adolescents and adults,Adult,Anorexia Nervosa,body fat,Exercise,Female,fitness trackers,Food intake,Humans,Nutritional Status,physical activity,Risk Factors,Sedentary Behavior,Young Adult}
  • [DOI] H. Kalantarian, N. Alshurafa, and M. Sarrafzadeh, “A Wearable Nutrition Monitoring System,” in 2014 11th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2014-06, p. 75–80.
    title = {A {{Wearable Nutrition Monitoring System}}},
    doi = {10.1109/BSN.2014.26},
    abstract = {Maintaining appropriate levels of food intake anddeveloping regularity in eating habits is crucial to weight lossand the preservation of a healthy lifestyle. Moreover, maintainingawareness of one's own eating habits is an important steptowards portion control and ultimately, weight loss. Though manysolutions have been proposed in the area of physical activitymonitoring, few works attempt to monitor an individual's foodintake by means of a noninvasive, wearable platform. In thispaper, we introduce a novel nutrition-intake monitoring systembased around a wearable, mobile, wireless-enabled necklacefeaturing an embedded piezoelectric sensor. We also propose a framework capable of estimating volume of meals, identifying long-term trends in eating habits, and providing classification between solid foods and liquids with an F-Measure of 85\% and86\% respectively. The data is presented to the user in the formof a mobile application.},
    eventtitle = {2014 11th International Conference on Wearable and Implantable Body Sensor Networks (BSN)},
    timestamp = {2017-12-04T13:14:27Z},
    booktitle = {2014 11th {{International Conference}} on {{Wearable}} and {{Implantable Body Sensor Networks}} ({{BSN}})},
    author = {Kalantarian, H. and Alshurafa, N. and Sarrafzadeh, M.},
    date = {2014-06},
    pages = {75--80},
    keywords = {Accuracy,biomedical equipment,Biomedical monitoring,body sensor networks,eating habits,F-Measure,food intake monitoring,Liquids,mobile application,Mobile communication,mobile computing,Monitoring,Necklace,Nutrition,nutrition-intake monitoring system,patient monitoring,physical activity monitoring,piezoelectric devices,piezoelectric sensor,smart phones,solid foods,Solids,Vibrations,Wearable Body Sensors,Wearable computers,wearable feature,wearable nutrition monitoring system,wearable platform,weight loss,wireless-enabled necklace,Wireless Health}
  • [DOI] U. G. Kyle, F. F. Zhang, A. Morabia, and C. Pichard, “Longitudinal study of body composition changes associated with weight change and physical activity.,” , vol. 22, p. 1103–1111.
    title = {Longitudinal Study of Body Composition Changes Associated with Weight Change and Physical Activity.},
    volume = {22},
    doi = {10.1016/j.nut.2006.08.003},
    abstract = {OBJECTIVE: Weight changes result in fat-free mass (FFM) and body fat (BF) changes. This study determined FFM and BF changes after weight gain or loss and whether these changes differ by gender, physical activity, and age. METHODS: Healthy volunteers, recruited between 1991 and 2003, were followed for 1 y (n = 400) or 3 y (n = 305). Active subjects performed $>$3 h of physical activity of $>$ or =4.0 metabolic equivalents/wk, sedentary subjects performed $<$3 h/wk. Body weight and body composition by bioelectrical impedance analysis were determined at year 0, 1, or 3. RESULTS: At years 1 and 3, FFM and BF decreased with weight loss and increased with weight gain. BF was more sensitive (P $<$ 0.03) to weight change than FFM. Compared to weight-stable individuals at year 1, weight gains of 1.0-1.9, 2.0-2.9, and $>$ or =3.0 kg changed FFM by -0.04 (P = 0.90), +0.48 (P = 0.15), and +1.39 kg and BF by +1.35, +1.87, and +3.09 kg, respectively (all P $<$ 0.001). Comparable FFM and BF decreases were observed for weight losses (FFM -0.28 kg, P = 0.38; -0.75 kg, P = 0.04; -1.51 kg, P $<$ 0.001; BF -1.01 kg, P $<$ 0.01; -1.55 kg, P = 0.01; -3.13 kg, P $<$ 0.001). These relations were similar across gender and age strata. At year 1, active individuals were less likely to gain BF with weight gain and more likely to lose BF with weight loss than were sedentary individuals, except for weight losses $>$3 kg. At year 3, the association between body weight and FFM and BF change was similar between active and sedentary individuals. CONCLUSION: Greater weight changes ($>$3 kg) are necessary for weight change to have a significant effect on FFM than to have an effect on BF.},
    timestamp = {2016-03-29T22:41:54Z},
    issue = {11-12},
    journaltitle = {Nutrition},
    author = {Kyle, Ursula G. and Zhang, Fang Fang and Morabia, Alfredo and Pichard, Claude},
    date = {2006},
    pages = {1103--1111},
    keywords = {Adipose Tissue,Adult,Aged,Aging,Body Composition,Body Weight,Electric Impedance,Exercise,Female,Humans,Longitudinal Studies,Male,Middle Aged,muscle,Skeletal,Weight Loss},
    owner = {oam},
    pii = {S0899-9007(06)00311-X},
    eprinttype = {pmid},
    eprint = {17027230}
  • [DOI] J. M. M. Meijers, R. J. G. Halfens, M. B. A. E. van Schueren, T. Dassen, and J. M. G. A. Schols, “Malnutrition in Dutch health care: prevalence, prevention, treatment, and quality indicators.,” , vol. 25, iss. 5, p. 512–519.
    title = {Malnutrition in {{Dutch}} Health Care: Prevalence, Prevention, Treatment, and Quality Indicators.},
    volume = {25},
    doi = {10.1016/j.nut.2008.11.004},
    abstract = {OBJECTIVE: In most health care organizations there is still insufficient awareness for recognizing and treating malnourished patients. To gain more insight into nutritional care policies in Dutch health care organizations, this study investigated screening, treatment, and other quality indicators of nutritional care. METHODS: In 2007 a cross-sectional multicenter study was performed that included 20 255 patients (hospitals, n = 6021; nursing homes, n = 11 902; home care, n = 2332). A standardized questionnaire was used to study nutritional screening and treatment at the patient level and quality indicators at institutional and ward levels (e.g., malnutrition guidelines/protocols, nutritional education, and weighing policy). RESULTS: Nutritional screening was performed more often in nursing homes (60.2\%) than in hospitals (40.3\%) and home care (13.9\%, P $<$ 0.001). In general, one in every five patients was malnourished, and nutritional treatment was applied in fewer than 50\% of all malnourished patients in nursing homes, hospitals, and home care. At ward level nursing homes focused more on the quality of nutritional care than did hospitals and home care, especially with respect to controlling the use of nutritional guidelines (54.6\%, P $<$ 0.03), weighing at admission (82.9\%, P $<$ 0.01), and mealtime ambiance (91.8\%, P $<$ 0.01). CONCLUSION: This large-scale study shows that malnutrition is still a considerable problem in one of every five patients in all participating health care settings. It furthermore demonstrates that recognizing and treating malnutrition continues to be problematic. To target the problem of malnutrition adequately, more awareness is needed of the importance of nutritional screening, appropriate treatment, and other nutritional quality indicators.},
    timestamp = {2016-03-29T22:41:54Z},
    langid = {english},
    number = {5},
    journaltitle = {Nutrition},
    author = {Meijers, Judith M. M. and Halfens, Ruud J. G. and van der Schueren, Marian A. E. van Bokhorst-de and Dassen, Theo and Schols, Jos M. G. A.},
    date = {2009-05},
    pages = {512--519},
    keywords = {80 and over,Aged,Awareness,Body Mass Index,Cross-Sectional Studies,diagnosis/epidemiology/therapy,epidemiology,Female,Health Status Indicators,Home Care Services,Hospitals,Humans,Male,Malnutrition,Netherlands,Nursing Homes,Nutritional Status,Nutrition Assessment,Prevalence,Quality of Health Care,Questionnaires,standards},
    medline-pst = {ppublish},
    owner = {oam},
    pii = {S0899-9007(08)00457-7},
    eprinttype = {pmid},
    eprint = {19135863}

July-August 2000

  • [DOI] M. B. Jensen and I. Hessov, "Nutrition and rehabilitation after discharge from the hospital: accelerating the rehabilitation with nutrition and physical training," , vol. 16, p. 619–621, July-August 2000.
    title = {Nutrition and Rehabilitation after Discharge from the Hospital: Accelerating the Rehabilitation with Nutrition and Physical Training},
    volume = {16},
    doi = {10.1016/S0899-9007(00)00336-1},
    abstract = {Introduction Look at the Future of Clinical Nutrition was the title of the first symposium at the 1999 ESPEN congress in Stockholm. Two statements from that symposium might be considered key terms in this article: ?Most of the nutritional care will be outside of hospital in the future? (Douglas W. Wilmore) and ?Eating is not enough?there must also be exercise? (Hippocrates, quoted by Peter F�rst). Patients undergoing major surgery or patients with acute serious illness will usually have weeks or even months with a low nutrition intake, little physical activity, fatigue, and reductions in weight and physical performance before they begin to regain strength and tissues.[1] A sufficient intake of energy and protein and physical training are cornerstones in a treatment that aims at rehabilitating the patient. Studies have shown that it is essential to focus on the time after discharge from the hospital. This will become even more important in the future as the time spent in hospitals becomes shorter and shorter, whereas the rehabilitation period after serious illness and surgery may still be long. A useful model of the process by which pathology leads to impairments to functional limitations to disability was proposed by Verbrugge and Jette.[2] Consider an 80-y-old woman who fractures her femoral neck and undergoes surgery. Postoperatively, she moves and eats little and there is atrophy of muscles and tendons (pathology), leading to muscular weakness (impairment of muscular function) and reduced walking ability (functional limitation), making it impossible for her to walk outdoors (disability). How the disability?confinement to her home?affects her quality of life further extends the model. Intervention to prevent disability may be instituted at any level of this process, and the model points to relevant endpoints for evaluating the process.},
    timestamp = {2016-03-29T22:41:54Z},
    issue = {7-8},
    journaltitle = {Nutrition},
    author = {Jensen, Martin Bach and Hessov, Ib},
    year = {July-August 2000},
    pages = {619--621},
    owner = {oam}