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Maddison, R., Gemming, L., Monedero, J., Bolger, L., Belton, S., Issartel, J., . . . Rawstorn, J. C. (2017). Quantifying Human Movement Using the Movn Smartphone App: Validation and Field Study. JMIR mhealth and uhealth, 5(8), Article ID e122.
Open this publication in new window or tab >>Quantifying Human Movement Using the Movn Smartphone App: Validation and Field Study
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2017 (English)In: JMIR mhealth and uhealth, E-ISSN 2291-5222, Vol. 5, no 8, article id e122Article in journal (Refereed) Published
Abstract [en]

Background: The use of embedded smartphone sensors offers opportunities to measure physical activity (PA) and human movement. Big data-which includes billions of digital traces-offers scientists a new lens to examine PA in fine-grained detail and allows us to track people's geocoded movement patterns to determine their interaction with the environment. Objective: The objective of this study was to examine the validity of the Movn smartphone app (Moving Analytics) for collecting PA and human movement data. Methods: The criterion and convergent validity of the Movn smartphone app for estimating energy expenditure (EE) were assessed in both laboratory and free-living settings, compared with indirect calorimetry (criterion reference) and a stand-alone accelerometer that is commonly used in PA research (GT1m, ActiGraph Corp, convergent reference). A supporting cross-validation study assessed the consistency of activity data when collected across different smartphone devices. Global positioning system (GPS) and accelerometer data were integrated with geographical information software to demonstrate the feasibility of geospatial analysis of human movement. Results: A total of 21 participants contributed to linear regression analysis to estimate EE from Movn activity counts (standard error of estimation [SEE]=1.94 kcal/min). The equation was cross-validated in an independent sample (N=42, SEE=1.10 kcal/min). During laboratory-based treadmill exercise, EE from Movn was comparable to calorimetry (bias=0.36 [-0.07 to 0.78] kcal/min, t82=1.66, P=.10) but overestimated as compared with the ActiGraph accelerometer (bias=0.93 [0.58-1.29] kcal/min, t89=5.27, P<.001). The absolute magnitude of criterion biases increased as a function of locomotive speed (F1,4=7.54, P<.001) but was relatively consistent for the convergent comparison (F1,4=1.26, P<.29). Furthermore, 95% limits of agreement were consistent for criterion and convergent biases, and EE from Movn was strongly correlated with both reference measures (criterion r=.91, convergent r=.92, both P<.001). Movn overestimated EE during free-living activities (bias=1.00 [0.98-1.02] kcal/min, t(6123)=101.49, P<.001), and biases were larger during high-intensity activities (F-3,F-6120=1550.51, P<.001). In addition, 95% limits of agreement for convergent biases were heterogeneous across free-living activity intensity levels, but Movn and ActiGraph measures were strongly correlated (r=.87, P<.001). Integration of GPS and accelerometer data within a geographic information system (GIS) enabled creation of individual temporospatial maps. Conclusions: The Movn smartphone app can provide valid passive measurement of EE and can enrich these data with contextualizing temporospatial information. Although enhanced understanding of geographic and temporal variation in human movement patterns could inform intervention development, it also presents challenges for data processing and analytics.

Place, publisher, year, edition, pages
Toronto: J M I R Publications, Inc., 2017
Keywords
telemedicine, smartphone, validation studies, geographic information systems, locomotion, physical activity, humans
National Category
Biomedical Laboratory Science/Technology
Identifiers
urn:nbn:se:hh:diva-35596 (URN)10.2196/mhealth.7167 (DOI)000410033700017 ()28818819 (PubMedID)
Available from: 2017-12-04 Created: 2017-12-04 Last updated: 2018-03-23Bibliographically approved
Fernström, M., Bakkman, L., Loogna, P., Rooyackers, O., Svensson, M., Jakobsson, T., . . . Lagerros, Y. T. (2016). Improved Muscle Mitochondrial Capacity Following Gastric Bypass Surgery in Obese Subjects. Obesity Surgery, 26(7), 1391-1397
Open this publication in new window or tab >>Improved Muscle Mitochondrial Capacity Following Gastric Bypass Surgery in Obese Subjects
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2016 (English)In: Obesity Surgery, ISSN 0960-8923, E-ISSN 1708-0428, Vol. 26, no 7, p. 1391-1397Article in journal (Refereed) Published
Abstract [en]

Background

Weight loss resulting from low-calorie diets is often less than expected. We hypothesized that energy restriction would influence proton leakage and improve mitochondrial efficiency, leading to reduced energy expenditure, partly explaining the difficulties in weight loss maintenance.

Methods

Eleven women with a median BMI of 38.5 kg/m2 (q-range 37–40), and referred to gastric bypass surgery participated. Before surgery, and at 6 months of follow-up, muscle biopsies were collected from the vastus lateralis muscle. Mitochondria were isolated and analyzed for coupled (state 3) and uncoupled (state 4) respiration and mitochondrial capacity (P/O ratio).

Results

At follow-up, the participants had a median BMI of 29.6 kg/m2 (28.3–32.0). State 3 increased from 20.6 (17.9–28.9) to 34.9 nmol O2/min/U citrate synthase (CS) (27.0–49.0), p = 0.01, while state 4 increased from 2.8 (1.8–4.2) to 4.2 nmol O2/min/U CS (3.1–6.1), although not statistically significant. The P/O ratio increased from 2.7 (2.5–2.8) to 3.2 (3.0–3.4), p = 0.02, indicating improved mitochondrial efficiency.

Conclusions

Six months after gastric bypass surgery, the mitochondrial capacity for coupled, i.e., ATP-generating, respiration increased, and the P/O ratio improved. Uncoupled respiration was not enhanced to the same extent. This could partly explain the decreased basal metabolism and the reduced inclination for weight loss during energy restriction. © Springer Science+Business Media New York 2015

Place, publisher, year, edition, pages
New York, NY: Springer, 2016
Keywords
Energy metabolism, Mitochondria, Muscle, Obesity, Thermogenesis, Weight loss
National Category
Microbiology in the medical area
Identifiers
urn:nbn:se:hh:diva-29648 (URN)10.1007/s11695-015-1932-z (DOI)000377939200005 ()26471784 (PubMedID)2-s2.0-84944705891 (Scopus ID)
Funder
Swedish Research Council, 14244
Note

Financial support was provided through grants from the Swedish Transport Administration, the Swedish Nutrition Foundation, the Swedish Research Council (no: 14244), Stiftelsen Serafimerlasarettet, and the regional agreement on medical training and clinical research between Stockholm County Council and Karolinska Institutet. The pedometers were generously provided by Abbott Scandinavia AB.

Available from: 2015-10-19 Created: 2015-10-19 Last updated: 2018-01-11Bibliographically approved
Solenhill, M., Grotta, A., Pasquali, E., Bakkman, L., Bellocco, R. & Lagerros, Y. T. (2016). The Effect of Tailored Web-Based Feedback and Optional Telephone Coaching on Health Improvements: A Randomized Intervention Among Employees in the Transport Service Industry. Journal of Medical Internet Research, 18(8), Article ID e158.
Open this publication in new window or tab >>The Effect of Tailored Web-Based Feedback and Optional Telephone Coaching on Health Improvements: A Randomized Intervention Among Employees in the Transport Service Industry
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2016 (English)In: Journal of Medical Internet Research, ISSN 1438-8871, E-ISSN 1438-8871, Vol. 18, no 8, article id e158Article in journal (Refereed) Published
Abstract [en]

Background: Lifestyle-related health problems is an important health concern in the transport service industry. Web- and telephone-based interventions could be suitable for this target group requiring tailored approaches.

Objective: To evaluate the effect of tailored web-based health feedback and optional telephone coaching with respect to improved lifestyle factors (Body Mass Index [BMI], dietary intake, physical activity, stress, sleep, tobacco- and alcohol consumption, disease history, self-perceived health, and motivation to change health habits), in comparison to no health feedback or telephone coaching.

Methods: 3,876 employees in the Swedish transport services were e-mailed a web-based questionnaire. They were randomized to either: A) control group (498 out of 1,238 answered, 40.2%) or B) intervention web (482 out of 1,305 answered, 36.9%), or C) intervention web+telephone (493 out of 1,333 answered, 37.0%). All groups received an identical questionnaire, only the interventions differed. Group B received tailored web-based health feedback and group C received tailored web-based health feedback + optional telephone coaching if the participants’ reported health habits did not meet the national guidelines, or if they expressed motivation to change health habits. The web-based feedback was fully automated. Telephone coaching was performed by trained health counsellors. Nine months later, all participants received a follow-up questionnaire and intervention web+telephone. Descriptive statistics, Chi-square test, analysis of variance, and generalized estimation equations (GEE) models were employed.

Results: 981 out of 1,473 (66.6%) employees participated at baseline (men: 66.7%, mean age: 44 years, mean BMI: 26.4 kg/m2) and at follow-up. No significant differences were found in reported health habits between the three groups over time. However, significant changes were found for motivation to change. The intervention groups reported higher motivation to improve dietary habits (n=144 out of 301 participants [47.8%] and n=165 out of 324 participants [50.9%] for B and C, respectively) and physical activity habits (n=181 out of 301 participants [60.1%] and n=207 out of 324 participants [63.9%] for B and C, respectively) compared to the control group A (n=122 out of 356 participants [34.3%] for diet and n=177 out of 356 participants [49.7%] for physical activity). At follow-up, the intervention groups had significantly decreased their motivation (group B: P<.001 for change in diet; P<.001 for change in physical activity; group C: P=.007 for change in diet; P<.001 for change in physical activity), whereas the control group reported significantly increased motivation to change diet and physical activity (P<.001 for change in diet; P<.001 for change in physical activity). © Madeleine Solenhill, Alessandra Grotta, Elena Pasquali, Linda Bakkman, Rino Bellocco, Ylva Trolle Lagerros.

Conclusions: Tailored web-based health feedback and the offering of optional telephone coaching did not have a positive health effect on employees in the transport services. However, our findings suggest an increased short-term motivation to change health behaviors related to diet and physical activity among those receiving tailored web-based health feedback.

Place, publisher, year, edition, pages
Toronto, ON: JMIR, 2016
Keywords
diet, exercise, Internet, intervention studies, lifestyle, motivation, occupational health, questionnaires, randomized
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
urn:nbn:se:hh:diva-30881 (URN)10.2196/jmir.4005 (DOI)000388495700004 ()27514859 (PubMedID)2-s2.0-84989866193 (Scopus ID)
Note

Funding: Swedish Transport Administration, the Erik and Edith Fernström’s foundation, Sven and Dagmar Saléns foundation, and the regional agreement on medical training and clinical research between Stockholm County Council and Karolinska Institutet, Sweden.

Available from: 2016-05-13 Created: 2016-05-13 Last updated: 2017-11-30Bibliographically approved
Solenhill, M. (2015). "More of the same is not enough" - dags att tänka om kring framtidens hälsointerventioner. Dietistaktuellt, XXIV(4), 44-48
Open this publication in new window or tab >>"More of the same is not enough" - dags att tänka om kring framtidens hälsointerventioner
2015 (Swedish)In: Dietistaktuellt, ISSN 1102-9285, Vol. XXIV, no 4, p. 44-48Article in journal (Other (popular science, discussion, etc.)) Published
Place, publisher, year, edition, pages
Degeberga: Dietisternas riksförbund, 2015
National Category
Health Sciences Clinical Medicine
Identifiers
urn:nbn:se:hh:diva-29769 (URN)
Available from: 2015-11-16 Created: 2015-11-16 Last updated: 2015-12-14Bibliographically approved
Svensson, M., Hult, M., van der Mark, M., Grotta, A., Jonasson, J., von Hausswolff-Juhlin, Y., . . . Trolle Lagerros, Y. (2014). The Change in Eating Behaviors in a Web-Based Weight Loss Program: A Longitudinal Analysis of Study Completers. Journal of Medical Internet Research, 16(11), Article ID e234.
Open this publication in new window or tab >>The Change in Eating Behaviors in a Web-Based Weight Loss Program: A Longitudinal Analysis of Study Completers
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2014 (English)In: Journal of Medical Internet Research, ISSN 1438-8871, E-ISSN 1438-8871, Vol. 16, no 11, article id e234Article in journal (Refereed) Published
Abstract [en]

Background: Eating behaviors are essential components in weight loss programs, but limited research has explored eating behaviors in Web-based weight loss programs.

Objectives: The aim was to evaluate an interactive Web-based weight loss program on eating behaviors using the 18-item Three-Factor Eating Questionnaire Revised (TFEQ-R18) which measures uncontrolled eating, emotional eating, and cognitive restrained eating. Our Web-based weight loss program is comprised of information about healthy lifestyle choices, weekly chats with experts, social networking features, databases for recipe searches, and features allowing members to self-report and track their weight, physical activity, and dietary intake on the website.

Methods: On registering for the weight loss program, 23,333 members agreed to take part in the research study. The participants were then asked to complete the TFEQ-R18 questionnaire at baseline and after 3 and 6 months of participation. All data collection was conducted online, with no face-to-face contact. To study changes in TFEQ-R18 eating behaviors we restricted our study to those members who completed all 3 TFEQ-R18 questionnaires. These participants were defined as "completers" and the remaining as "noncompleters." The relationships between sex, change in eating behaviors, and total weight loss were studied using repeated measures ANOVA and Pearson correlation coefficient.

Results: In total, 22,800 individuals participated (females: 19,065/22,800, 83.62%; mean age 39.6, SD 11.4 years; BMI 29.0 kg/m2; males: 3735/22,800, 16.38%; mean age 43.2, SD 11.7 years; BMI 30.8 kg/m2). Noncompleters (n=22,180) were younger and reported a lower score of uncontrolled eating and a higher score of cognitive restrained eating. Over time, completers (n=620) decreased their uncontrolled eating score (from 56.3 to 32.0; P<.001) and increased their cognitive restrained eating (from 50.6 to 62.9; P<.001). Males decreased their emotional eating (from 57.2 to 35.9; P<.001), but no significant change was found among females. The baseline cognitive restrained eating score was significantly and positively associated with weight loss for completers in both men (P=.02) and women (P=.002).

Conclusions: To our knowledge, this is the largest TFEQ sample that has been documented. This Web-based weight loss intervention suggests that eating behaviors (cognitive restrained eating, uncontrolled eating, and emotional eating) measured by TFEQ-R18 were significantly changed during 6 months of participation. Our findings indicate differences in eating behaviors with respect to sex, but should be interpreted with caution because attrition was high.

Place, publisher, year, edition, pages
Toronto, ON: Journal of Medical Internet Research, 2014
Keywords
Behavior, Counseling, Diet, Eating, Internet, Method, Questionnaires, TFEQ, Weight loss
National Category
Psychology (excluding Applied Psychology)
Identifiers
urn:nbn:se:hh:diva-27334 (URN)10.2196/jmir.3131 (DOI)000345632300027 ()25367316 (PubMedID)2-s2.0-84914684686 (Scopus ID)
Available from: 2014-12-22 Created: 2014-12-22 Last updated: 2017-12-05Bibliographically approved
Svensson, M., Bellocco, R., Bakkman, L. & Trolle Lagerros, Y. (2013). An Interactive Internet-Based Plate for Assessing Lunchtime Food Intake: A Validation Study on Male Employees. Journal of Medical Internet Research, 15(1), Article ID e13.
Open this publication in new window or tab >>An Interactive Internet-Based Plate for Assessing Lunchtime Food Intake: A Validation Study on Male Employees
2013 (English)In: Journal of Medical Internet Research, ISSN 1438-8871, E-ISSN 1438-8871, Vol. 15, no 1, article id e13Article in journal (Refereed) Published
Abstract [en]

Background: Misreporting food intake is common because most health screenings rely on self-reports. The more accurate methods (eg, weighing food) are costly, time consuming, and impractical.

Objectives: We developed a new instrument for reporting food intake—an Internet-based interactive virtual food plate. The objective of this study was to validate this instrument’s ability to assess lunch intake.

Methods: Participants were asked to compose an ordinary lunch meal using both a virtual and a real lunch plate (with real food on a real plate). The participants ate their real lunch meals on-site. Before and after pictures of the composed lunch meals were taken. Both meals included identical food items. Participants were randomized to start with either instrument. The 2 instruments were compared using correlation and concordance measures (total energy intake, nutritional components, quantity of food, and participant characteristics).

Results: A total of 55 men (median age: 45 years, median body mass index [BMI]: 25.8 kg/m2) participated. We found an overall overestimation of reported median energy intake using the computer plate (3044 kJ, interquartile range [IQR] 1202 kJ) compared with the real lunch plate (2734 kJ, IQR 1051 kJ, P<.001). Spearman rank correlations and concordance correlations for energy intake and nutritional components ranged between 0.58 to 0.79 and 0.65 to 0.81, respectively.

Conclusion: Although it slightly overestimated, our computer plate provides promising results in assessing lunch intake. © Filippo Castiglione.

Place, publisher, year, edition, pages
Toronto: Internet Healthcare Coalition, 2013
Keywords
diet, epidemiology, Internet, methods, nutrition, validation, Web
National Category
Nutrition and Dietetics
Identifiers
urn:nbn:se:hh:diva-21543 (URN)10.2196/jmir.2217 (DOI)000315113200019 ()23335728 (PubMedID)2-s2.0-84877285825 (Scopus ID)
Note

Funding: The Swedish Transport Administration and the Erik and Edith Fernström’s foundation, Sweden.

Available from: 2013-02-22 Created: 2013-02-22 Last updated: 2017-12-06Bibliographically approved
Bergdahl, J., Jarnbring, F., Ehrenstein, V., Gammelager, H., Granath, F., Kieler, H., . . . Lagerros, Y. T. (2013). Evaluation of an algorithm ascertaining cases of osteonecrosis of the jaw in the Swedish National Patient Register. Clinical Epidemiology, 5(1), 1-7
Open this publication in new window or tab >>Evaluation of an algorithm ascertaining cases of osteonecrosis of the jaw in the Swedish National Patient Register
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2013 (English)In: Clinical Epidemiology, ISSN 1179-1349, E-ISSN 1179-1349, Vol. 5, no 1, p. 1-7Article in journal (Refereed) Published
Abstract [en]

Background: Osteonecrosis of the jaw (ONJ) is a medical condition associated with antiresorptive drugs, among others, used to treat osteoporosis and bone metastasis. Currently, there is no consensus regarding the definition of ONJ, and no ONJ-specific International Classification of Diseases-10 code exists. Therefore, register-based studies of this condition may be troublesome.

Purpose: To evaluate an algorithm ascertaining ONJ cases in an attempt to facilitate future assessments of ONJ in clinical and epidemiological studies.

Methods: By means of the Patient Register and the Prescribed Drug Register, we identified all postmenopausal female residents in Sweden from 2005 through 2009. To identify potential cases of ONJ, we employed an algorithm including the following conditions: periapical abscess with sinus, inflammatory conditions of jaws, alveolitis of jaws, idiopathic aseptic necrosis of bone, osteonecrosis due to drugs, osteonecrosis due to previous trauma, other secondary osteonecrosis, other osteonecrosis, and unspecified osteonecrosis. Women seen at departments of oral and maxillofacial surgery, with at least one of the conditions, were classified as potential cases of ONJ. Conditions in anatomic sites other than the jaw were excluded. Validation was performed through medical record review. Case confirmation was based on the ONJ definition by the American Association of Oral and Maxillofacial Surgeons. The algorithm was evaluated by positive predictive values (PPVs) stratified by diagnosis.

Results: For the 87 potential cases identified through our algorithm, the medical records were obtained for 83. The overall PPV was 18% (95% confidence interval (CI) 10%–28%). The highest PPV was observed in osteonecrosis due to drugs (83%, 95% CI 36%–100%). Several diagnoses had a PPV of 0 or were not used at all (periapical abscess with sinus, alveolitis of jaws, idiopathic aseptic necrosis of bone, osteonecrosis due to previous trauma, other secondary osteonecrosis, other osteonecrosis, and unspecified osteonecrosis).

Conclusion: It was possible to ascertain cases of ONJ from the Swedish registers using this algorithm; however, the PPV was low. Thus, further refinements of the algorithm are necessary. © 2013 Bergdahl et al, publisher and licensee Dove Medical Press Ltd.

Place, publisher, year, edition, pages
Macclesfield: Dove Medical Press Ltd., 2013
Keywords
bisphosphonate-associated osteonecrosis of the jaw, epidemiology, methods, ONJ, registries, validation
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:hh:diva-25254 (URN)10.2147/CLEP.S37664 (DOI)23323023 (PubMedID)2-s2.0-84872516137 (Scopus ID)
Available from: 2014-04-30 Created: 2014-04-30 Last updated: 2017-12-05Bibliographically approved
Svensson, M., Pasquali, E., Bellocco, R., Petersson, L., Bakkman, L. & Trolle Lagerros, Y. (2013). The Effects of a Randomized Workplace Lifestyle Intervention - Using Web-Based Feedback with Health Behavior Theories for Self-Empowered Health and Health Literacy. In: : . Paper presented at MEDICINE 2.0, 6th World Congress on Social media, Mobile Apps, Internet/Web 2.0, September 23-24, 2013, London, England. London, England
Open this publication in new window or tab >>The Effects of a Randomized Workplace Lifestyle Intervention - Using Web-Based Feedback with Health Behavior Theories for Self-Empowered Health and Health Literacy
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2013 (English)Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
London, England: , 2013
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
urn:nbn:se:hh:diva-25259 (URN)
Conference
MEDICINE 2.0, 6th World Congress on Social media, Mobile Apps, Internet/Web 2.0, September 23-24, 2013, London, England
Available from: 2014-04-30 Created: 2014-04-30 Last updated: 2017-04-19Bibliographically approved
Svensson, M., Svensson, T., Hansen, A. W. & Lagerros, Y. T. (2012). The effect of reminders in a web-based intervention study. European Journal of Epidemiology, 27(5), 333-340
Open this publication in new window or tab >>The effect of reminders in a web-based intervention study
2012 (English)In: European Journal of Epidemiology, ISSN 0393-2990, E-ISSN 1573-7284, Vol. 27, no 5, p. 333-340Article in journal (Refereed) Published
Abstract [en]

Knowledge on effective strategies to encourage participation in epidemiological web-based research is scant. We studied the effects of reminders on overall participation. 3,876 employees were e-mailed a baseline web-based lifestyle questionnaire. Nine months later, a follow-up questionnaire was sent. To encourage study participation, 4–5 and 11 e-mail reminders were sent at baseline and follow-up, respectively. Additional reminders (media articles, flyers, SMS etc) were also administered. Reminders (e-mails + additional) were given in low (≤6 reminders), medium (7–9 reminders) or high amounts (>9 reminders). Participation was examined with respect to participant characteristics (i.e. age, sex, Body Mass Index, occupation), type/number of reminders, and time of participation. Most participants were males, 35–49 years, and field workers (non-office based). About 29 % responded before any e-mail reminder, following 26 and 45 % after 1 respective ≥ 2 e-mail reminders. Participant characteristics were not related to when the participants responded. The 4–5 e-mail reminders increased total response rate by 15 %, the eleven by 21 % (greatest increases in September). Those receiving medium amounts of reminders (reference) had the highest response rate (75 %), likewise office workers (54 %) compared to field workers (33 %). High amounts of reminders were particularly effective on office workers. The participants’ characteristics were not related to when they responded in this web-based study. Frequent reminders were effective on response rates, especially for those with high Internet availability. The highest increases in response rates were found in September. © The Author(s) 2012.

Place, publisher, year, edition, pages
Dordrecht: Springer Netherlands, 2012
Keywords
Epidemiology, Internet, Intervention, Participation rate, Reminders
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:hh:diva-25253 (URN)10.1007/s10654-012-9687-5 (DOI)000305219800002 ()22531973 (PubMedID)2-s2.0-84863724849 (Scopus ID)
Note

This research was financially supported by Banverket’s research fund, Sweden.

Available from: 2014-04-30 Created: 2014-04-30 Last updated: 2017-12-05Bibliographically approved
Svensson, M. (2011). Motivational technologies to promote weight loss – from Internet to gadgets. In: : . Paper presented at International Congress on Rehabilitation in Medicine, Nanjing, China, July 8–10, 2011.
Open this publication in new window or tab >>Motivational technologies to promote weight loss – from Internet to gadgets
2011 (English)Conference paper, Oral presentation only (Refereed)
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:hh:diva-25258 (URN)
Conference
International Congress on Rehabilitation in Medicine, Nanjing, China, July 8–10, 2011
Available from: 2014-04-30 Created: 2014-04-30 Last updated: 2016-01-08Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-4144-4877

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