1
|
Pulantara IW, Wang Y, Burke LE, Sereika SM, Bizhanova Z, Kariuki JK, Cheng J, Beatrice B, Loar I, Cedillo M, Conroy MB, Parmanto B. Data Collection and Management of mHealth, Wearables, and Internet of Things in Digital Behavioral Health Interventions With the Awesome Data Acquisition Method (ADAM): Development of a Novel Informatics Architecture. JMIR Mhealth Uhealth 2024; 12:e50043. [PMID: 39113371 DOI: 10.2196/50043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 04/30/2024] [Accepted: 06/05/2024] [Indexed: 08/16/2024] Open
Abstract
Unlabelled The integration of health and activity data from various wearable devices into research studies presents technical and operational challenges. The Awesome Data Acquisition Method (ADAM) is a versatile, web-based system that was designed for integrating data from various sources and managing a large-scale multiphase research study. As a data collecting system, ADAM allows real-time data collection from wearable devices through the device's application programmable interface and the mobile app's adaptive real-time questionnaires. As a clinical trial management system, ADAM integrates clinical trial management processes and efficiently supports recruitment, screening, randomization, data tracking, data reporting, and data analysis during the entire research study process. We used a behavioral weight-loss intervention study (SMARTER trial) as a test case to evaluate the ADAM system. SMARTER was a randomized controlled trial that screened 1741 participants and enrolled 502 adults. As a result, the ADAM system was efficiently and successfully deployed to organize and manage the SMARTER trial. Moreover, with its versatile integration capability, the ADAM system made the necessary switch to fully remote assessments and tracking that are performed seamlessly and promptly when the COVID-19 pandemic ceased in-person contact. The remote-native features afforded by the ADAM system minimized the effects of the COVID-19 lockdown on the SMARTER trial. The success of SMARTER proved the comprehensiveness and efficiency of the ADAM system. Moreover, ADAM was designed to be generalizable and scalable to fit other studies with minimal editing, redevelopment, and customization. The ADAM system can benefit various behavioral interventions and different populations.
Collapse
Affiliation(s)
- I Wayan Pulantara
- School of Health and Rehabilitation Science, University of Pittsburgh, Pittsburgh, PA, United States
| | - Yuhan Wang
- School of Health and Rehabilitation Science, University of Pittsburgh, Pittsburgh, PA, United States
| | - Lora E Burke
- School of Nursing, University of Pittsburgh, Pittsburgh, PA, United States
- School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Susan M Sereika
- School of Nursing, University of Pittsburgh, Pittsburgh, PA, United States
- School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Zhadyra Bizhanova
- School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Jacob K Kariuki
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States
| | - Jessica Cheng
- School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Britney Beatrice
- School of Nursing, University of Pittsburgh, Pittsburgh, PA, United States
| | - India Loar
- School of Nursing, University of Pittsburgh, Pittsburgh, PA, United States
| | - Maribel Cedillo
- School of Medicine, University of Utah, Salt Lake City, UT, United States
| | - Molly B Conroy
- School of Medicine, University of Utah, Salt Lake City, UT, United States
| | - Bambang Parmanto
- School of Health and Rehabilitation Science, University of Pittsburgh, Pittsburgh, PA, United States
| |
Collapse
|
2
|
Kariuki JK, Bizhanova Z, Conroy MB, Burke LE, Cheng J, Beatrice B, Sereika SM. The Association between Neighborhood Walkability and Physical Activity in a Behavioral Weight Loss Trial Testing the Addition of Remotely Delivered Feedback Messages to Self-Monitoring. Behav Med 2024; 50:232-241. [PMID: 37489802 PMCID: PMC10808266 DOI: 10.1080/08964289.2023.2238102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 06/30/2023] [Accepted: 07/14/2023] [Indexed: 07/26/2023]
Abstract
Adding feedback messages (FB) to self-monitoring (SM) may reinforce behavior change. However, socio-environmental conditions (e.g., limited access to parks or low walkability) may limit one's ability to respond to FB focused on physical activity (PA). In this analysis, we hypothesized that high neighborhood walkability will positively modify the treatment effect of FB on PA, and residents of high walkability neighborhoods will achieve higher PA levels at 12 months than those in low walkability neighborhoods. The study is a secondary analysis of a 12-month behavioral weight-loss trial. Adults with overweight/obesity were randomized to SM + FB (n = 251) or SM alone (n = 251). SM + FB group received smartphone pop-up messages thrice/week tailored to their PA SM data. The assessment included neighborhood walkability via Walk Score (low [<50] vs. high [≥50]), moderate to vigorous PA (MVPA) and step count via Fitbit Charge 2™, and weight via smart scale. We report adjusted linear regression coefficients (b) with standard errors (SE). The analysis included participants who were primarily white, female, and with obesity. In adjusted models, neighborhood walkability did not moderate the effect of treatment assignment on log-transformed (ln) MVPA or steps count over 12 months. The SM + FB group had greater lnMVPA than the SM group, but lnMVPA and steps were similar between walkability groups. There were no significant interactions for group and time or group, time, and walkability. These findings suggest that adding FB to SM had a small but significant positive impact on PA over 12 months, but neighborhood walkability did not moderate the treatment effect of FB on PA.
Collapse
Affiliation(s)
| | | | | | | | - Jessica Cheng
- Harvard University T.H. Chan School of Public Health, MA, USA
| | | | | |
Collapse
|
3
|
Ramírez Gallegos I, Marina Arroyo M, López-González ÁA, Vicente-Herrero MT, Vallejos D, Sastre-Alzamora T, Ramírez-Manent JI. The Effect of a Program to Improve Adherence to the Mediterranean Diet on Cardiometabolic Parameters in 7034 Spanish Workers. Nutrients 2024; 16:1082. [PMID: 38613115 PMCID: PMC11013770 DOI: 10.3390/nu16071082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 03/29/2024] [Accepted: 04/05/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Cardiovascular and metabolic diseases include a large group of pathologies and constitute one of the most serious chronic health problems facing the 21st century, with high rates of morbidity and mortality worldwide. Unhealthy diets influence the development of these pathologies. The Mediterranean diet can be an important part in the treatment of these diseases. The objective of this study was to assess the effect of a program that aims to increase adherence to the Mediterranean diet on the improvement of different cardiometabolic risk parameters. METHODS A prospective intervention study was carried out on 7034 Spanish workers. Prior to the intervention, 22 cardiometabolic risk scales were evaluated. Participants in this study were informed both orally and in writing of the characteristics and benefits of the Mediterranean diet and were given the website of the Ministry of Health, Consumption and Social Welfare of Spain, which provides advice on nutrition. Adherence to the Mediterranean diet was reinforced by sending a monthly SMS to their mobile phones. After six months of follow-up, the 22 risk scales were re-evaluated to assess changes. Means and standard deviations were calculated using Student's t test to analyse quantitative variables. Prevalence was calculated using the Chi-square test when the variables were qualitative. RESULTS All the cardiometabolic risk scales studied decreased after implementing a program to improve and enhance adherence to the Mediterranean diet. The number of losses in the sample was very low, standing at 4.31%. CONCLUSIONS The Mediterranean diet is effective in reducing all cardiovascular risk scales evaluated. The mean values and prevalence of high values of the different cardiometabolic risk scales analysed led to lower values after the implementation of the program to increase adherence to the Mediterranean diet. We observed a significant positive difference in metabolic age in both sexes. We have obtained a significant improvement in the insulin resistance index, especially in the SPISE-IR index, data that we have not found in previous publications. Easy access to the Internet and new information and communication technologies facilitate adherence to a diet and can reduce the number of losses.
Collapse
Affiliation(s)
- Ignacio Ramírez Gallegos
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - Marta Marina Arroyo
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - Ángel Arturo López-González
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
- Faculty of Dentistry, University School ADEMA, 07010 Palma, Balearic Islands, Spain
- Institut d’Investigació Sanitària de les Illes Balears (IDISBA), Balearic Islands Health Research Institute Foundation, 07010 Palma, Balearic Islands, Spain
- Balearic Islands Health Service, 07010 Palma, Balearic Islands, Spain
| | - Maria Teófila Vicente-Herrero
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - Daniela Vallejos
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - Tomás Sastre-Alzamora
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - José Ignacio Ramírez-Manent
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
- Institut d’Investigació Sanitària de les Illes Balears (IDISBA), Balearic Islands Health Research Institute Foundation, 07010 Palma, Balearic Islands, Spain
- Balearic Islands Health Service, 07010 Palma, Balearic Islands, Spain
- Faculty of Medicine, University of the Balearic Islands, 07010 Palma, Balearic Islands, Spain
| |
Collapse
|
4
|
Pala D, Petrini G, Bosoni P, Larizza C, Quaglini S, Lanzola G. Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities. Int J Med Inform 2024; 184:105351. [PMID: 38295584 DOI: 10.1016/j.ijmedinf.2024.105351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 01/24/2024] [Accepted: 01/26/2024] [Indexed: 02/02/2024]
Abstract
INTRODUCTION A proper nutrition is essential for human life. Recently, special attention on this topic has been given in relation to three health statuses: obesity, malnutrition and specific diseases that can be related to food or treated with specific diets. Mobile technology is often used to assist users that wish to regulate their eating habits, and identifying which fields of application have been explored the most by the app developers and which main functionalities have been adopted can be useful in view of future app developments. METHODS We selected 322 articles mentioning nutrition support apps through a literature database search, all of which have undergone an initial screening. After the exclusion of papers that were already reviews, not presenting apps or not focused on nutrition, not relevant or not developed for human subjects, 100 papers were selected for subsequent analyses that aimed at identifying the main treated conditions, outcome measures and functionalities implemented in the Apps. RESULTS Of the selected studies, 33 focus on specific diseases, 24 on obesity, 2 on malnutrition and 41 on other targets (e.g., weight/diet control). Type 2 diabetes is the most targeted disease, followed by gestational diabetes, hypertension, colorectal cancer and CVDs which all were targeted by more than one app. Most Apps include self-monitoring and coaching functionalities, educational content and artificial intelligence (AI) tools are slightly less common, whereas counseling, gamification and questionnaires are the least implemented. Body weight and calories/nutrients were the most common general outcome measures, while glycated hemoglobin (HbA1c) was the most common clinical outcome. No statistically significant differences in the effectiveness of the different functionalities were found. CONCLUSION The use of mobile technology to improve nutrition has been widely explored in the last years, especially for weight control and specific diseases like diabetes; however, other food-related conditions such as Irritable Bowel Diseases appear to be less targeted by newly developed smartphone apps and their related studies. All different kinds of functionalities appear to be equally effective, but further specific studies are needed to confirm the results.
Collapse
Affiliation(s)
- Daniele Pala
- Department of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Giorgia Petrini
- Department of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Pietro Bosoni
- Department of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Cristiana Larizza
- Department of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Silvana Quaglini
- Department of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Giordano Lanzola
- Department of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy
| |
Collapse
|
5
|
Cheng J, Costacou T, Rockette-Wagner B, Sereika SM, Conroy MB, Kriska AM, Kariuki JK, Klem ML, Parmanto B, Burke LE. Perceived and calculated diet quality improvements in a randomized mHealth weight loss trial. Behav Med 2024; 50:164-169. [PMID: 36789848 PMCID: PMC10425562 DOI: 10.1080/08964289.2023.2178374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 12/15/2022] [Accepted: 01/31/2023] [Indexed: 02/16/2023]
Abstract
The diet quality of US adults is poor and cross-sectional analyses suggest self-perception of healthful dietary intake may be overestimated. This analysis assessed the concordance between calculated and perceived diet quality and changes in diet quality among adults seeking weight loss and enrolled in a 12-month randomized behavioral trial. Healthy Eating Index-2015 diet quality (HEI) was calculated from self-administered 24-hour recalls. Perceived diet quality (PDQ) was measured on a 100-point scale. Higher scores indicate better diet quality. Concordance was assessed using the concordance correlation coefficient and Bland-Altman plots. The one hundred and five participants with complete dietary data were mostly female and white. There was good agreement between HEI and PDQ scores at 12 months for less than a third of participants. Most of the disagreement arose from PDQ scores being higher than HEI scores. Even fewer participants had good agreement between HEI changes and PDQ changes. Participants perceived greater improvement in diet quality than indicated by HEI score changes. Concordance was low at 12 months and for change in diet quality. Despite the diet quality of adults seeking weight loss being suboptimal and not improving, many perceived their diet quality and diet quality improvements as better than calculated. Future studies might explore the effect of misperceptions on weight loss outcomes.
Collapse
Affiliation(s)
- Jessica Cheng
- Department of Epidemiology, School of Public Health, University of Pittsburgh
| | - Tina Costacou
- Department of Epidemiology, School of Public Health, University of Pittsburgh
| | | | - Susan M Sereika
- Department of Health and Community Systems, School of Nursing, University of Pittsburgh
| | - Molly B Conroy
- Division of General Internal Medicine, University of Utah School of Medicine
| | - Andrea M Kriska
- Department of Epidemiology, School of Public Health, University of Pittsburgh
| | - Jacob K Kariuki
- Department of Health and Community Systems, School of Nursing, University of Pittsburgh
| | - Mary Lou Klem
- Health Sciences Library System, University of Pittsburgh
| | - Bambang Parmanto
- Department of Health Information Management, School of Rehabilitation Science, University of Pittsburgh
| | - Lora E Burke
- Department of Health and Community Systems, School of Nursing, University of Pittsburgh
| |
Collapse
|
6
|
Metzendorf MI, Wieland LS, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database Syst Rev 2024; 2:CD013591. [PMID: 38375882 PMCID: PMC10877670 DOI: 10.1002/14651858.cd013591.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
BACKGROUND Obesity is considered to be a risk factor for various diseases, and its incidence has tripled worldwide since 1975. In addition to potentially being at risk for adverse health outcomes, people with overweight or obesity are often stigmatised. Behaviour change interventions are increasingly delivered as mobile health (m-health) interventions, using smartphone apps and wearables. They are believed to support healthy behaviours at the individual level in a low-threshold manner. OBJECTIVES To assess the effects of integrated smartphone applications for adolescents and adults with overweight or obesity. SEARCH METHODS We searched CENTRAL, MEDLINE, PsycINFO, CINAHL, and LILACS, as well as the trials registers ClinicalTrials.gov and World Health Organization International Clinical Trials Registry Platform on 2 October 2023 (date of last search for all databases). We placed no restrictions on the language of publication. SELECTION CRITERIA Participants were adolescents and adults with overweight or obesity. Eligible interventions were integrated smartphone apps using at least two behaviour change techniques. The intervention could target physical activity, cardiorespiratory fitness, weight loss, healthy diet, or self-efficacy. Comparators included no or minimal intervention (NMI), a different smartphone app, personal coaching, or usual care. Eligible studies were randomised controlled trials of any duration with a follow-up of at least three months. DATA COLLECTION AND ANALYSIS We used standard Cochrane methodology and the RoB 2 tool. Important outcomes were physical activity, body mass index (BMI) and weight, health-related quality of life, self-efficacy, well-being, change in dietary behaviour, and adverse events. We focused on presenting studies with medium- (6 to < 12 months) and long-term (≥ 12 months) outcomes in our summary of findings table, following recommendations in the core outcome set for behavioural weight management interventions. MAIN RESULTS We included 18 studies with 2703 participants. Interventions lasted from 2 to 24 months. The mean BMI in adults ranged from 27 to 50, and the median BMI z-score in adolescents ranged from 2.2 to 2.5. Smartphone app versus no or minimal intervention Thirteen studies compared a smartphone app versus NMI in adults; no studies were available for adolescents. The comparator comprised minimal health advice, handouts, food diaries, smartphone apps unrelated to weight loss, and waiting list. Measures of physical activity: at 12 months' follow-up, a smartphone app compared to NMI probably reduces moderate to vigorous physical activity (MVPA) slightly (mean difference (MD) -28.9 min/week (95% confidence interval (CI) -85.9 to 28; 1 study, 650 participants; moderate-certainty evidence)). We are very uncertain about the results of estimated energy expenditure and cardiorespiratory fitness at eight months' follow-up. A smartphone app compared with NMI probably results in little to no difference in changes in total activity time at 12 months' follow-up and leisure time physical activity at 24 months' follow-up. Anthropometric measures: a smartphone app compared with NMI may reduce BMI (MD of BMI change -2.6 kg/m2, 95% CI -6 to 0.8; 2 studies, 146 participants; very low-certainty evidence) at six to eight months' follow-up, but the evidence is very uncertain. At 12 months' follow-up, a smartphone app probably resulted in little to no difference in BMI change (MD -0.1 kg/m2, 95% CI -0.4 to 0.3; 1 study; 650 participants; moderate-certainty evidence). A smartphone app compared with NMI may result in little to no difference in body weight change (MD -2.5 kg, 95% CI -6.8 to 1.7; 3 studies, 1044 participants; low-certainty evidence) at 12 months' follow-up. At 24 months' follow-up, a smartphone app probably resulted in little to no difference in body weight change (MD 0.7 kg, 95% CI -1.2 to 2.6; 1 study, 245 participants; moderate-certainty evidence). A smartphone app compared with NMI may result in little to no difference in self-efficacy for a physical activity score at eight months' follow-up, but the results are very uncertain. A smartphone app probably results in little to no difference in quality of life and well-being at 12 months (moderate-certainty evidence) and in little to no difference in various measures used to inform dietary behaviour at 12 and 24 months' follow-up. We are very uncertain about adverse events, which were only reported narratively in two studies (very low-certainty evidence). Smartphone app versus another smartphone app Two studies compared different versions of the same app in adults, showing no or minimal differences in outcomes. One study in adults compared two different apps (calorie counting versus ketogenic diet) and suggested a slight reduction in body weight at six months in favour of the ketogenic diet app. No studies were available for adolescents. Smartphone app versus personal coaching Only one study compared a smartphone app with personal coaching in adults, presenting data at three months. Two studies compared these interventions in adolescents. A smartphone app resulted in little to no difference in BMI z-score compared to personal coaching at six months' follow-up (MD 0, 95% CI -0.2 to 0.2; 1 study; 107 participants). Smartphone app versus usual care Only one study compared an app with usual care in adults but only reported data at three months on participant satisfaction. No studies were available for adolescents. We identified 34 ongoing studies. AUTHORS' CONCLUSIONS The available evidence is limited and does not demonstrate a clear benefit of smartphone applications as interventions for adolescents or adults with overweight or obesity. While the number of studies is growing, the evidence remains incomplete due to the high variability of the apps' features, content and components, which complicates direct comparisons and assessment of their effectiveness. Comparisons with either no or minimal intervention or personal coaching show minor effects, which are mostly not clinically significant. Minimal data for adolescents also warrants further research. Evidence is also scarce for low- and middle-income countries as well as for people with different socio-economic and cultural backgrounds. The 34 ongoing studies suggest sustained interest in the topic, with new evidence expected to emerge within the next two years. In practice, clinicians and healthcare practitioners should carefully consider the potential benefits, limitations, and evolving research when recommending smartphone apps to adolescents and adults with overweight or obesity.
Collapse
Affiliation(s)
- Maria-Inti Metzendorf
- Institute of General Practice, Medical Faculty of the Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - L Susan Wieland
- Center for Integrative Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Bernd Richter
- Institute of General Practice, Medical Faculty of the Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| |
Collapse
|
7
|
Cheng J, Costacou T, Sereika SM, Conroy MB, Parmanto B, Rockette-Wagner B, Kriska AM, Klem ML, Burke LE. Effect of an mHealth weight loss intervention on Healthy Eating Index diet quality: the SMARTER randomised controlled trial. Br J Nutr 2023; 130:2013-2021. [PMID: 38713063 PMCID: PMC10632722 DOI: 10.1017/s0007114523001137] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 04/06/2023] [Accepted: 04/26/2023] [Indexed: 05/08/2024]
Abstract
In the few weight loss studies assessing diet quality, improvements have been minimal and recommended calculation methods have not been used. This secondary analysis of a parallel group randomised trial (regsitered: https://clinicaltrials.gov/ct2/show/NCT03367936) assessed whether self-monitoring with feedback (SM + FB) v. self-monitoring alone (SM) improved diet quality. Adults with overweight/obesity (randomised: SM n 251, SM + FB n 251; analysed SM n 170, SM + FB n 186) self-monitored diet, physical activity and weight. Real-time, personalised feedback, delivered via a study-specific app up to three times daily, was based on reported energy, fat and added sugar intake. Healthy Eating Index 2015 (HEI-2015) scores were calculated from 24-hour recalls. Higher scores represent better diet quality. Data were collected August 2018 to March 2021 and analysed spring 2022. The sample was mostly female (78·9 %) and white (85·4 %). At baseline, HEI-2015 total scores and bootstrapped 95 % CI were similar by treatment group (SM + FB: 63·11 (60·41, 65·24); SM: 61·02 (58·72, 62·81)) with similar minimal improvement observed at 6 months (SM + FB: 65·42 (63·30, 67·20); SM: 63·19 (61·22, 64·97)) and 12 months (SM + FB: 63·94 (61·40, 66·29); SM: 63·56 (60·81, 65·42)). Among those who lost ≥ 5 % of baseline weight, HEI-2015 scores improved (baseline: 62·00 (58·94, 64·12); 6 months: 68·02 (65·41, 71·23); 12 months: 65·93 (63·40, 68·61)). There was no effect of the intervention on diet quality change. Clinically meaningful weight loss was related to diet quality improvement. Feedback may need to incorporate more targeted nutritional content.
Collapse
Affiliation(s)
- Jessica Cheng
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Tina Costacou
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Susan M. Sereika
- Department of Health and Community Systems, School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA
| | - Molly B. Conroy
- Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Bambang Parmanto
- Department of Health Information Management, School of Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, USA
| | - Bonny Rockette-Wagner
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Andrea M. Kriska
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mary Lou Klem
- Health Sciences Library System, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lora E. Burke
- Department of Health and Community Systems, School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA
| |
Collapse
|
8
|
Mitchaï PM, Mapinduzi J, Verbrugghe J, Michiels S, Janssens L, Kossi O, Bonnechère B, Timmermans A. Mobile technologies for rehabilitation in non-specific spinal disorders: a systematic review of the efficacy and potential for implementation in low- and middle-income countries. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2023; 32:4077-4100. [PMID: 37794182 DOI: 10.1007/s00586-023-07964-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 05/22/2023] [Accepted: 09/16/2023] [Indexed: 10/06/2023]
Abstract
PURPOSE The aim of this systematic review was primarily to identify the types of mHealth technologies for the rehabilitation of non-specific spinal disorders, second to evaluate their efficacy, and finally to determine their applicability in LMICs. METHODS Three databases (Scopus, PubMed, and Web of Science) were searched for randomized controlled trials and clinical trials from January 2012 until December 2022. Studies were found eligible when using mHealth technologies for the rehabilitation of non-specific spinal disorders. To evaluate efficacy, the primary outcome was pain intensity, and the secondary outcomes were disability and quality of life. To evaluate the applicability in LMICs, information about financial and geographical accessibility, offline usability, and languages was extracted. RESULTS Fifteen studies were included comprising 1828 participants who suffer from non-specific low back pain (86.05%) and non-specific neck pain (13.95%). Fourteen distinct smartphone-based interventions and two sensor system interventions were found, with a duration ranging from four weeks to six months. All mHealth interventions demonstrated efficacy for the improvement of pain, disability and quality of life in non-specific spinal disorders, particularly low back pain. Five of the evaluated smartphone applications were free of charge accessible and had language features that could be adapted for use in LMICs. CONCLUSION mHealth interventions can be used and integrated into the conventional treatment of non-specific spinal disorders in rehabilitation. They have demonstrated efficacy and could be implemented in LMICs with minor adaptations to overcome language barriers and the absolute necessity of the internet.
Collapse
Affiliation(s)
- Pénielle Mahutchegnon Mitchaï
- REVAL, Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
- ENATSE, National School of Public Health and Epidemiology, University of Parakou, 03 BP 10, Parakou, Benin
| | - Jean Mapinduzi
- REVAL, Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
- Department of Physiotherapy, National Institute of Public Health, University of Bujumbura, Bujumbura, Burundi
| | - Jonas Verbrugghe
- REVAL, Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
| | - Sarah Michiels
- REVAL, Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
| | - Lotte Janssens
- REVAL, Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
| | - Oyéné Kossi
- REVAL, Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium.
- ENATSE, National School of Public Health and Epidemiology, University of Parakou, 03 BP 10, Parakou, Benin.
- Unit of Neurology and NeuroRehabilitation, University Hospital of Parakou, Parakou, Benin.
| | - Bruno Bonnechère
- REVAL, Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
- Technology-Supported and Data-Driven Rehabilitation, Data Sciences Institute, Hasselt University, Diepenbeek, Belgium
| | - Annick Timmermans
- REVAL, Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
| |
Collapse
|
9
|
Dietary Intervention on Overweight and Obesity after Confinement by COVID-19. Nutrients 2023; 15:nu15040912. [PMID: 36839270 PMCID: PMC9960430 DOI: 10.3390/nu15040912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 02/07/2023] [Accepted: 02/09/2023] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND Obesity has become a public health problem in our society and is associated with many diseases, including type 2 diabetes mellitus, cardiovascular diseases, dyslipidemia, respiratory diseases, and cancer. Several studies relate weight loss in obese patients to improved anthropometric measurements and cardiometabolic risk. The objective of our study was to evaluate anthropometric changes, analytical parameters, insulin resistance, fatty liver, and metabolic scales, after a personalized weight loss program, through dietary advice to increase adherence to the Mediterranean diet and a motivational booster via mobile SMS messaging. METHODS Intervention study on a sample of 1964 workers, in which different anthropometric parameters were evaluated before and after dietary intervention: the metabolic score of insulin resistance; non-alcoholic fatty liver disease using different scales; metabolic syndrome; atherogenic dyslipidemia; and the cardiometabolic index. A descriptive analysis of the categorical variables was performed, by calculating the frequency and distribution of the responses for each one. For quantitative variables, the mean and standard deviation were calculated, since they followed a normal distribution. Bivariate association analysis was performed by applying the chi-squared test (corrected by Fisher's exact statistic when conditions required it) and Student's t-test for independent samples (for comparison of means). RESULTS The population subjected to the Mediterranean diet improved in all the variables evaluated at 12 months of follow-up and compliance with the diet. CONCLUSIONS Dietary advice on a Mediterranean diet and its reinforcement with reminder messages through the use of mobile phones may be useful to improve the parameters evaluated in this study and reduce the cardiometabolic risk of patients.
Collapse
|