A comparison between flexible electrogoniometers,inclinometers and three-dimensional video analysis system for recording neck movement

This study compared neck range of movement recording using three different methods goniometers (EGM), inclinometers (INC) and a three-dimensional video analysis system (IMG) in simultaneous and synchronized data collection. Twelve females performed neck flexion-extension, lateral flexion, rotation and circumduction. The differences between EGM, INC, and IMG were calculated sample by sample. For flexion-extension movement, IMG underestimated the amplitude by 13%; moreover, EGM showed a crosstalk of about 20% for lateral flexion and rotation axes. In lateral flexion movement, all systems showed similar amplitude and the inter-system differences were moderate (4–7%). For rotation movement, EGM showed a high crosstalk (13%) for flexion-extension axis. During the circumduction movement, IMG underestimated the amplitude of flexion-extension movements by about 11%, and the inter-system differences were high (about 17%) except for INC–IMG regarding lateral flexion (7%) and EGM–INC regarding flexion-extension (10%). For application in workplace, INC presents good results compared to IMG and EGM though INC cannot record rotation. EGM should be improved in order to reduce its crosstalk errors and allow recording of the full neck range of movement. Due to non-optimal positioning of the cameras for recording flexion–extension, IMG underestimated the amplitude of these movements.     

Functionalities and input methods for recording food intake: A systematic review

BackgroundIncreasing healthcare costs related to lifestyle-related chronic diseases require new solutions. Research on self-management tools is expanding and many new tools are emerging. Recording food intake is a key functionality in many of these tools. Nutrition monitoring is a relevant method to gain an overview of factors influencing health. However, keeping a food diary often constitutes a challenge for a patient, and developing a user-friendly and useful electronic food diary is not straightforward.PurposeTo gain insight into the existing approaches to recording food intake, and to analyze current functionalities and input methods.MethodsWe searched digital libraries, vendor markets and social networks focusing on nutrition. Selection criteria were publications written in English, and patient-oriented tools that offered recording of food intake or nutrition. The system properties that we searched for were types of data, types of terminal, target population, and types of reports and sharing functionalities. We summarized the properties based on their frequency in the reviewed sample.Results31 publications met the selection criteria. The majority of the identified food recording systems (67%) facilitated entry of food type and the consumed quantity of food; 16% of the systems were able to record more than one type of data. The three most frequent target populations were people with obesity, diabetes and overweight. Mobile phones were used as terminals in 35% of the cases, personal computers (PCs) in 29%, and personal digital assistants in 23%. Only 10% supported both PCs and mobile phones. Data sharing was provided by 71% and reports by 51% of the systems. We searched for apps in Google Play and the Apple Store and tested 45 mobile applications that stored food intake data, of which 62% supported recording of types of food, 24% recording of carbohydrate intake and 15% recording of calorie intake. The majority of the mobile applications offered some kind of reports and data sharing, mainly via All of the tested social-network-enabled applications supported access from a personal computer and a mobile phone, search in a food database, reports, graphical presentation, listing of favorite foods, overview of own meals, and entering of consumed food type and quantity.ConclusionThe analyzed apps reflected a variety of approaches to recording food intake and nutrition using different terminals – mostly mobile phones (35%), followed by PCs (29%) and PDAs (23%) for older studies, designed mainly for users with obesity (45%), diabetes mellitus (42%) and overweight (32%), or people who want to stay healthy (10%). The majority of the reviewed applications (67%) offered only input of food type and quantity. All approaches (n = 31), except for two, relied on manual input of data, either by typing or by selecting a food type from a database. The exceptions (n = 2) used a barcode scanning function. Users of mobile phone applications were not limited to data recording, but could view their data on the screen and send it via email. The tested web applications offered similar functionalities for recording food intake. The systems studied provided some degree of personalization: users can access some systems via PCs or mobile phones and they can choose among various types of data input content for recording food intake. Many functions, such as search in a food database, reports, graphical presentation, listing of favorite foods, and overview of the user's own meals, are optimized to simplify the recording process and save time. Data sharing and reports are common features of the reviewed systems. However, none use the user's recorded food history to make suggestions on new nutritional intake, during the food recording process. This may be an area for future research.     

Evaluation of polymerization shrinkage of bulk-fill resin composites using microcomputed tomography

This study evaluated the influence of cavity depth on polymerization shrinkage of bulk-fill resin composites with and without adhesive resin. Standardized     

Genetic and Environmental Variances of Bone Microarchitecture and Bone Remodeling Markers: A Twin Study

All genetic and environmental factors contributing to differences in bone structure between individuals mediate their effects through the final common cellular pathway of bone modeling and remodeling. We hypothesized that genetic factors account for most of the population variance of cortical and trabecular microstructure, in particular intracortical porosity and medullary size – void volumes (porosity), which establish the internal bone surface areas or interfaces upon which modeling and remodeling deposit or remove bone to configure bone microarchitecture. Microarchitecture of the distal tibia and distal radius and remodeling markers were measured for 95 monozygotic (MZ) and 66 dizygotic (DZ) white female twin pairs aged 40 to 61 years. Images obtained using high‐resolution peripheral quantitative computed tomography were analyzed using StrAx1.0, a nonthreshold‐based software that quantifies cortical matrix and porosity. Genetic and environmental components of variance were estimated under the assumptions of the classic twin model. The data were consistent with the proportion of variance accounted for by genetic factors being: 72% to 81% (standard errors ～18%) for the distal tibial total, cortical, and medullary cross‐sectional area (CSA); 67% and 61% for total cortical porosity, before and after adjusting for total CSA, respectively; 51% for trabecular volumetric bone mineral density (vBMD; all p < 0.001). For the corresponding distal radius traits, genetic factors accounted for 47% to 68% of the variance (all p ≤ 0.001). Cross‐twin cross‐trait correlations between tibial cortical porosity and medullary CSA were higher for MZ (r_MZ = 0.49) than DZ (r_DZ = 0.27) pairs before (p = 0.024), but not after (p = 0.258), adjusting for total CSA. For the remodeling markers, the data were consistent with genetic factors accounting for 55% to 62% of the variance. We infer that middle‐aged women differ in their bone microarchitecture and remodeling markers more because of differences in their genetic factors than differences in their environment. © 2014 American Society for Bone and Mineral Research.