Relationship Between Body Composition, Diet, and Food Addiction in Young Adult Females

Addictive behavior in relation to food is often a consistent variable with obesity and aberrant eating. However, body composition alone is not a strong indicator of food addiction, rather is associated with other factors such as quality of diet, making the compulsive behavior difficult to diagnose. Eating disorders are widespread amongst young adult females and warrant further investigation. PURPOSE: To identify various factors that may attribute to food addiction symptoms in young adult females. METHODS: The study consisted of twelve physically healthy females (age = 20.8 ± 1.6 yr and BMI = 21.9 ± 1.6 kg/m2). Dual-Energy X-ray absorptiometry was used to evaluate body composition. A 3-day dietary log was collected (2 weekdays and 1 weekend day) and analyzed using the Food Processor Software. Symptoms of food addiction were evaluated using the Yale Food Addiction Scale 2.0. Six participants displaying food addiction symptoms (FAS) were matched (BMI, age, fat-free mass, and body fat %) and compared with 6 complementary females without food addiction symptoms (WFAS). Data were analyzed via a Pearson correlation analysis and a one-way ANOVA (p \u3c 0.05). RESULTS: There was no statistically significant difference found in intake of energy, carbohydrates, proteins, fats, and saturated fats based on total calories. Although not statistically significant, the mean omega-3 intake of FAS (.88 ± .58g) was lower than that of WFAS (1.07 ± 1.03g), and omega-6 was 6.2 ± 4.9g for FAS and 4.2 ± 2.5g for WFAS, respectively. The macronutrient breakdown for FAS was as follows: total intake – 1572 ± 69 kcal/day, carbohydrates – 706 ± 132 kcal/day, proteins – 308 ± 52 kcal/day, and fats – 557 ± 83 kcal/day. The macronutrient breakdown for WFAS was 1923 ± 527 kcal/day (total intake), 875 ± 208 kcal/day (carbohydrates), 346 ± 123 kcal/day (proteins), and 701 ± 248 kcal/day (fats). WFAS consumed 208 ± 72 kcal/day of saturated fats, while FAS consumed 25% more saturated fats (265 ± 35 kcal/day). Waist to hip ratio between FAS and WFAS was significantly different (p = .032), where FAS = 0.75 ± 0.03 and WFAS = 0.70 ± 0.03. CONCLUSION: Though there was no significant statistical difference in total caloric intake between the food addictive and non-addictive groups, there was a noticeable trend that the food addictive group consumed fewer calories but had a higher waist to hip ratio. This trend suggests that the quality of diet, rather than total intake, may be related to a higher waist to hip ratio. Additionally, the food addictive group had a lower total fat intake and consumed more saturated fats than the non-addictive group. Saturated fats are conventional in most heavily processed foods. Though the food addictive group is consuming fewer total calories, there is a larger portion of their diet made up of saturated fats suggesting an imbalance in diet quality associated with food addiction. Future research analyzing the type and quality of food consumed in larger sample size is encouraged

An Evaluation Of Static and Dynamic Yoga Training Programs

While traditional yoga programs focus on static stretching and core stability, Essentrics yoga relies more heavily on full-body stretch and strengthening regiments coupled with dynamic movements such as ceiling reaches, side-to-side bends, lunges, and side leg lifts. Through the incorporation of more dynamic movements, Essentrics yoga is thought to elicit greater improvements in overall body composition, flexibility, and balance. PURPOSE: To examine the benefits of a 6-weeks long Essentrics (dynamic) program compared to standard (static) Yoga on body composition, flexibility, and balance. METHODS: Thirty-one participants (24 females and 7 males, age = 20.4 ± 0.2yrs, and BMI = 22.58 ± 0.55kg/m2) were assigned to two groups – a standard Yoga (YOG, n = 20) and an Essentrics (ESS, n = 11) group. For 6 weeks, both groups attended a 45–50-minute class, 3 times per week. Body composition (dual-energy x-ray absorptiometry), flexibility (sit-and-reach), balance (lower extremity Y-balance), as well anthropometric measurements were assessed at the beginning and end of the 6-week program. Measurements of the balance test included 3 reaches and their combined values [anterior (ANT), posteromedial (PM), posterolateral (PL), and composite reach distance (CRD)]. All reaches were averaged for the right and left sides and then normalized to leg length. Data were analyzed using an ANOVA with repeated measures (p \u3c 0.05), and a post-hoc test was performed if any significant main or interaction effects were found. RESULTS: Interestingly, the total body fat percentage was significantly reduced only in the YOG group (24.44 ± 6.73 to 23.51 ± 6.32%, p=.002). There were no significant group differences between YOG and ESS in balance and flexibility. However, balance was improved after the 6-week workout programs; PM (87.13 ± 11.64cm to 92.25 ± 9.91cm, p=.001), PL (82.88 ± 11.28 to 88.62 ± 9.62cm, p=.002), CRD (225.96 ± 27.17 to 238.26 ± 22.98cm, p=.001), normalized PM (98.31 ± 11.68 to 104.27 ± 11.14%, p=.001), normalized PL (93.60 ± 11.98 to 100.15 ± 10.70%, p=.001), and normalized CRD (255.12 ± 27.89 to 269.21 ± 25.07%, p=.001). Additionally, flexibility was improved from 51.42 ± 8.24 to 53.38 ± 7.04cm (p=.010) after the 6-week workout programs, while total body fat percentage was significantly reduced only in the YOG group (24.44 ± 6.73 to 23.51 ± 6.32%, p=.002). CONCLUSION: Whether an individual prefers a static or dynamic yoga program, both show improvements in flexibility and balance; however, neither program had a significant benefit over the other

A comparison of food portion size estimation by older adults, young adults and nutritionists

Objectives To investigate the ability of older adults, younger adults and nutritionists to assess portion size using traditional methods versus a computer-based method. This was to inform the development of a novel dietary assessment method for older adults “The NANA system”. Design Older and younger adults assessed the portion size of self-served portions of foods from a buffet style set up using traditional and computerised portion size assessment aids. Nutritionists assessed the portion size of foods from digital photographs using computerised portion size aids. These estimates were compared to known weights of foods using univariate analyses of covariance (ANCOVA). Setting The University of Sheffield, United Kingdom. Subjects Forty older adults (aged 65 years and over), 41 younger adults (aged between 18 and 40 years) and 25 nutritionists. Results There was little difference in the abilities of older and younger adults to assess portion size using both assessment aids with the exception of small pieces morphology. Even though the methods were not directly comparable among the test groups, there was less variability in portion size estimates made by the nutritionists. Conclusion Older adults and younger adults are similar in their ability to assess food portion size and demonstrate wide variability of estimation compared to the ability of nutritionists to estimate portion size from photographs. The results suggest that the use of photographs of meals consumed for portion size assessment by a nutritionist may improve the accuracy of dietary assessment. Improved portion size assessment aids are required for all age groups

A review of the design and validation of web- and computer-based 24-h dietary recall tools

Technology-based dietary assessment offers solutions to many of the limitations of traditional dietary assessment methodologies including cost, participation rates and the accuracy of data collected. The 24-h dietary recall (24HDR) method is currently the most utilised method for the collection of dietary intake data at a national level. Recently there have been many developments using web-based platforms to collect food intake data using the principles of the 24HDR method. This review identifies web- and computer-based 24HDR tools that have been developed for both children and adult population groups, and examines common design features and the methods used to investigate the performance and validity of these tools. Overall, there is generally good to strong agreement between web-based 24HDR and respective reference measures for intakes of macro- and micronutrients

The development, validation, and user evaluation of foodbook24: A web-based dietary assessment tool developed for the Irish adult population

Background: The application of technology in the area of dietary assessment has resulted in the development of an array of tools, which are often specifically designed for a particular country or region. Objective: The aim of this study was to describe the development, validation, and user evaluation of a Web-based dietary assessment tool “Foodbook24.” Methods: Foodbook24 is a Web-based, dietary assessment tool consisting of a 24-hour dietary recall (24HDR) and food frequency questionnaire (FFQ) alongside supplementary questionnaires. Validity of the 24HDR component was assessed by 40 participants, who completed 3 nonconsecutive, self-administered 24HDR using Foodbook24 and a 4-day semi-weighed food diary at separate time points. Participants also provided fasted blood samples and 24-hour urine collections for the identification of biomarkers of nutrient and food group intake during each recording period. Statistical analyses on the nutrient and food group intake data derived from each method were performed in SPSS version 20.0 (SPSS Inc). Mean nutrient intakes (and standard deviations) recorded using each method of dietary assessment were calculated. Spearman and Pearson correlations, Wilcoxon Signed Rank and Paired t test were used to investigate the agreement and differences between the nutritional output from Foodbook24 (test method) and the 4-day semi-weighed food diary (reference method). Urinary and plasma biomarkers of nutrient intake were used as an objective validation of Foodbook24. To investigate the user acceptability of Foodbook24, participants from different studies involved with Foodbook24 were asked to complete an evaluation questionnaire. Results: For nutrient intake, correlations between the dietary assessment methods were acceptable to very good in strength and statistically significant (range r=.32 to .75). There were some significant differences between reported mean intakes of micronutrients recorded by both methods; however, with the exception of protein (P=.03), there were no significant differences in the reporting of energy or macronutrient intake. Of the 19 food groups investigated in this analysis, there were significant differences between 6 food groups reported by both methods. Spearman correlations for biomarkers of nutrient and food group intake and reported intake were similar for both methods. A total of 118 participants evaluated the acceptability of Foodbook24. The tool was well-received and the majority, 67.8% (80/118), opted for Foodbook24 as the preferred method for future dietary intake assessment when compared against a traditional interviewer led recall and semi-weighed food diary. Conclusions: The results of this study demonstrate the validity and user acceptability of Foodbook24. The results also highlight the potential of Foodbook24, a Web-based dietary assessment method, and present a viable alternative to nutritional surveillance in Ireland

Computer-based tools for assessing micro-longitudinal patterns of cognitive function in older adults

Patterns of cognitive change over micro-longitudinal timescales (i.e., ranging from hours to days) are associated with a wide range of age-related health and functional outcomes. However, practical issues with conducting high-frequency assessments make investigations of micro-longitudinal cognition costly and burdensome to run. One way of addressing this is to develop cognitive assessments that can be performed by older adults, in their own homes, without a researcher being present. Here, we address the question of whether reliable and valid cognitive data can be collected over micro-longitudinal timescales using unsupervised cognitive tests.In study 1, 48 older adults completed two touchscreen cognitive tests, on three occasions, in controlled conditions, alongside a battery of standard tests of cognitive functions. In study 2, 40 older adults completed the same two computerized tasks on multiple occasions, over three separate week-long periods, in their own homes, without a researcher present. Here, the tasks were incorporated into a wider touchscreen system (Novel Assessment of Nutrition and Ageing (NANA)) developed to assess multiple domains of health and behavior. Standard tests of cognitive function were also administered prior to participants using the NANA system.Performance on the two “NANA” cognitive tasks showed convergent validity with, and similar levels of reliability to, the standard cognitive battery in both studies. Completion and accuracy rates were also very high. These results show that reliable and valid cognitive data can be collected from older adults using unsupervised computerized tests, thus affording new opportunities for the investigation of cognitive function

Automatically detecting activities of daily living from in-home sensors as indicators of routine behaviour in an older population

Objective: The NEX project has developed an integrated Internet of Things (IoT) system coupled with data analytics to offer unobtrusive health and wellness monitoring supporting older adults living independently at home. Monitoring currently involves visualising a set of automatically detected activities of daily living (ADLs) for each participant. The detection of ADLs is achieved to allow the incorporation of additional participants whose ADLs are detected without re-training the system. Methods: Following an extensive User Needs and Requirements study involving 426 participants, a pilot trial and a friendly trial of the deployment, an Action Research Cycle (ARC) trial was completed. This involved 23 participants over a 10-week period each with c.20 IoT sensors in their homes. During the ARC trial, participants each took part in two data-informed briefings which presented visualisations of their own in-home activities. The briefings also gathered training data on the accuracy of detected activities. Association rule mining was then used on the combination of data from sensors and participant feedback to improve the automatic detection of ADLs. Results: Association rule mining was used to detect a range of ADLs for each participant independently of others and was then used to detect ADLs across participants using a single set of rules for each ADL. This allows additional participants to be added without the necessity of them providing training data. Conclusions: Additional participants can be added to the NEX system without the necessity to re-train the system for automatic detection of the set of their activities of daily living

The validation of a computer-based food record for older adults: the Novel Assessment of Nutrition and Ageing (NANA) method

Dietary assessment in older adults can be challenging. The Novel Assessment of Nutrition and Ageing (NANA) method is a touch-screen computer-based food record that enables older adults to record their dietary intakes. The objective of the present study was to assess the relative validity of the NANA method for dietary assessment in older adults. For this purpose, three studies were conducted in which a total of ninety-four older adults (aged 65–89 years) used the NANA method of dietary assessment. On a separate occasion, participants completed a 4 d estimated food diary. Blood and 24 h urine samples were also collected from seventy-six of the volunteers for the analysis of biomarkers of nutrient intake. The results from all the three studies were combined, and nutrient intake data collected using the NANA method were compared against the 4 d estimated food diary and biomarkers of nutrient intake. Bland–Altman analysis showed a reasonable agreement between the dietary assessment methods for energy and macronutrient intake; however, there were small, but significant, differences for energy and protein intake, reflecting the tendency for the NANA method to record marginally lower energy intakes. Significant positive correlations were observed between urinary urea and dietary protein intake using both the NANA and the 4 d estimated food diary methods, and between plasma ascorbic acid and dietary vitamin C intake using the NANA method. The results demonstrate the feasibility of computer-based dietary assessment in older adults, and suggest that the NANA method is comparable to the 4 d estimated food diary, and could be used as an alternative to the food diary for the short-term assessment of an individual’s dietary intake

Telehealth Delivery of a Multi-Disciplinary Rehabilitation Programme for Upper Gastro-Intestinal Cancer: ReStOre@Home Feasibility Study

Advances in diagnosis and the treatment for upper gastro-intestinal (UGI) cancers have led to improved survival rates and, consequently, to a larger population of survivors of many types of UGI cancer [1,2]. Progress in survivorship care for UGI cancer remains poor, and many survivors experience ongoing negative physical and psychosocial impacts of treatment, which can have profound and long-term impacts on physical function and quality of life (QOL) [3,4]. At one year post-op, 40% of survivors report poor physical function, and significant reductions in walking distance, cardiorespiratory fitness and muscle strength are observed, along with a high prevalence of fatigue (41%), sarcopenia (35%) and dyspnoea (20%) [5–7]. Nutritional compromise in UGI cancer survivors is frequently reported, with eating restrictions are observed in 49% at 1 year post-surgery and malabsorption in 73% at two years post-op [6,8]. This can lead to significant reductions in fat-free body mass and skeletal muscle [8]. From a psychosocial perspective, anxiety (36%), fear of recurrence (29%) and high rates of sleep difficulties (51%) are reported. An integrated, multi-disciplinary specialist rehabilitation approach focusing on patient-centred outcomes is indicated to address the substantial, complex, multi-dimensional rehabilitation needs of UGI cancer survivors and to enable them to achieve the best possible quality of life and to reintegrate into family, social and working life [9–12]

Assessment of Urban Flood Vulnerability Using theSocial-Ecological-Technological Systems Framework in Six US cities

As urban populations continue to grow through the 21 st century, more people are projected to be at risk of exposure to climate change-induced extreme events. To investigate the complexity of urban floods, this study applied an interlinked social-ecological-technological systems (SETS) vulnerability framework by developing an urban flood vulnerability index for six US cities. Indicators were selected to reflect and illustrate exposure, sensitivity, and adaptive capacity to flooding for each of the three domains of SETS. We quantified 18 indicators and normalized them by the cities’ 500-yr floodplain area at the census block group level. Clusters of flood vulnerable areas were identified differently by each SETS domain, and some areas were vulnerable to floods in more than one domain. Results are provided to support decision-making for reducing risks to flooding, by considering social, ecological, and technological vulnerability as well as hotspots where multiple sources of vulnerability coexist. The spatially explicit urban SETS flood vulnerability framework can be transferred to other regions facing challenging urban floods and other types of environmental hazards. Mapping SETS flood vulnerability helps to reveal intersections of complex SETS interactions and inform policy-making for building more resilient cities in the face of extreme events and climate change impacts