scholarly journals Weight Loss Mobile Apps: Do They Address COVID-19 and Diabetes

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A31-A32
Author(s):  
Gloria Wu ◽  
Brian Nguyen ◽  
Chap-Kay Kendra Lau ◽  
Vincent Siu
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Risk Factor ◽  
Public Education ◽  
Small Business ◽  
Information Needs ◽  
Mobile Apps ◽  
Mobile App ◽  
Small Business Administration ◽  
Search Term

Abstract Background: Over 70 million Americans are obese and 99 million are overweight. There are over 3.7 billion ehealth mobile app downloads per year. Weight loss apps offer information on exercise and nutrition as well as weight tracking. Obesity is a risk factor for COVID-19 infection, along with diabetes and hypertension. In addition, obesity plays a role in the increased mortality of COVID patients. In March of 2020, the U.S. government, through the Small Business Administration and through the Small Business Innovation Research program, as well as through Facebook and Google, offered individuals and companies money for public education and/or solutions for the COVID-19 epidemic. Thus, are software app developers adding information about COVID-19 for their audience? Specifically, do weight loss apps mention obesity being a risk factor for DM, Hypertension, and COVID-19? Weight loss apps target a young demographic, and for public health purposes, COVID-19 information needs to reach this demographic since obesity can be a risk factor for COVID-19 infection. Purpose: Do weight loss apps provide information about DM, HTN, and COVID-19 during this pandemic era? Methods: Evaluation of the 10 most popular apps in the Apple (iOS) and Google (Android) stores via the search term “weight loss.” Apps were ranked by downloads/star rating respectively for Android and iOS apps. Apple does not provide information about the number of downloads. App inclusion criteria: 1) Free 2) iOS: star ratings greater than 4 (greater than 10K ratings); Android: greater than or equal to 1 Million downloads; App features: DM, HTN, Race, Gender, COVID-19, BMI, Heart Disease, Calorie Count, and Fitness. Results: DM: 0/20, HTN: 0/20, BMI: 19/20, while Race is 0/20; Gender 19/20; COVID-19: 0/20; Calorie Count 11/20; Fitness 13/20. Conclusion: 1) Weight Loss apps have not ventured in the public education realm of risk factors and comorbidities of COVID-19 despite the pandemic in 2020. 2) As physicians, we should continue to educate our patients with weight issues and other risk factors in the era of a worldwide pandemic.

scholarly journals Android based mobile apps for improved crop protection

2018 ◽  
Vol 33 (4) ◽  
Author(s):  
S. Vennila ◽  
A. Tomar ◽  
M. N. Bhatt ◽  
K. Murari ◽  
S. K. Yadav ◽  
...  
Keyword(s):  
Pest Management ◽  
Information Needs ◽  
Mobile Apps ◽  
Crop Protection ◽  
Mobile App ◽  
Search Term ◽  
Information Base ◽  
Additional Information ◽  
Pest Incidence ◽  
Google Play

In agriculture, methods of crop protection are too many making dissemination difficult. Mobile apps presenting information needs of client solutions and help in wider outreach. Prediction of pest incidence, synthesis of information on integrated pest management and selection cum calculation of appropriate pesticides in the area of crop protection have been used as information base in mobile apps. Mobile apps on pest forewarning (Pest-predict EMS and RBS), insecticide and fungicide calculators (IFCs) for 16 crops and on IPM for 4 crops that are android based have been developed. All the developed apps are hosted under “Google Play Store”. Desired mobile app can be downloaded using search term ‘ICAR-NCIPM’ under “Google Play Store” followed by the selection and installation of required mobile app. Feedback options and additional information are also inbuilt in the mobile apps.

scholarly journals Using the Habit App for Weight Loss Problem Solving: Development and Feasibility Study (Preprint)

2018 ◽  
Author(s):  
Sherry Pagoto ◽  
Bengisu Tulu ◽  
Emmanuel Agu ◽  
Molly E Waring ◽  
Jessica L Oleski ◽  
...  
Keyword(s):  
Weight Loss ◽  
Problem Solving ◽  
Mobile Apps ◽  
Mobile App ◽  
Behavioral Weight Loss ◽  
Problem Solving Therapy ◽  
Pilot Studies ◽  
Self Monitoring ◽  
Problem Solving Skills ◽  
Automated Delivery

BACKGROUND Reviews of weight loss mobile apps have revealed they include very few evidence-based features, relying mostly on self-monitoring. Unfortunately, adherence to self-monitoring is often low, especially among patients with motivational challenges. One behavioral strategy that is leveraged in virtually every visit of behavioral weight loss interventions and is specifically used to deal with adherence and motivational issues is problem solving. Problem solving has been successfully implemented in depression mobile apps, but not yet in weight loss apps. OBJECTIVE This study describes the development and feasibility testing of the Habit app, which was designed to automate problem-solving therapy for weight loss. METHODS Two iterative single-arm pilot studies were conducted to evaluate the feasibility and acceptability of the Habit app. In each pilot study, adults who were overweight or obese were enrolled in an 8-week intervention that included the Habit app plus support via a private Facebook group. Feasibility outcomes included retention, app usage, usability, and acceptability. Changes in problem-solving skills and weight over 8 weeks are described, as well as app usage and weight change at 16 weeks. RESULTS Results from both pilots show acceptable use of the Habit app over 8 weeks with on average two to three uses per week, the recommended rate of use. Acceptability ratings were mixed such that 54% (13/24) and 73% (11/15) of participants found the diet solutions helpful and 71% (17/24) and 80% (12/15) found setting reminders for habits helpful in pilots 1 and 2, respectively. In both pilots, participants lost significant weight (P=.005 and P=.03, respectively). In neither pilot was an effect on problem-solving skills observed (P=.62 and P=.27, respectively). CONCLUSIONS Problem-solving therapy for weight loss is feasible to implement in a mobile app environment; however, automated delivery may not impact problem-solving skills as has been observed previously via human delivery. CLINICALTRIAL ClinicalTrials.gov NCT02192905; https://clinicaltrials.gov/ct2/show/NCT02192905 (Archived by WebCite at http://www.webcitation.org/6zPQmvOF2)

scholarly journals Do COVID-19 Apps Address Diabetes Mellitus and Health Equity Issues

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A379-A379
Author(s):  
Brian Nguyen ◽  
Chap-Kay Kendra Lau ◽  
Gloria Wu ◽  
Dwight Lubrin ◽  
Vincent Siu
Keyword(s):  
Risk Factors ◽  
Sexual Orientation ◽  
Hispanic Americans ◽  
Mobile Apps ◽  
Healthcare Providers ◽  
Search Term ◽  
Language Background ◽  
Increased Risk ◽  
Patients With Diabetes ◽  
Race 2

Abstract Purpose: To evaluate if COVID-19 apps address risk factors such as diabetes, hypertension, race, gender, sexual orientation, language. Background: In 2019, there were 204 Billion app downloads and 3.7 billion downloads of ehealth apps. COVID-19 affects ethnic minority patients with diabetes, hypertension, and other risk factors. Spanish is the second most commonly used language after English in the U.S.. African Americans, Hispanic Americans, and Asian Americans are at an increased risk of COVID-19. LGBTQ+ communities are also at higher risk for COVID due to historically poor access to healthcare. Methods: The search term, “COVID,” in Google Play store and Apple App store was used to find the most popular COVID-19 apps. App inclusion criteria: 1) Contains COVID-19 information and/or COVID symptom tracker, 2) Marketed and designed for the general public, 3) Free, 4) Android (DROID): 100,000+ Downloads; Apple (iOS): highest star ratings. Apple does not provide a number of downloads. App features: COVID-19 information, COVID-19 symptom questionnaire (QN), Diabetes, Hypertension, Cardiovascular disease, Languages (Spanish, Chinese), Race, Gender, and Sexual Orientation. Results: The top 10 DROID apps in descending order are: 1) GuideSafe, 2) CO Exposure Notifications, 3) Care19 Diary, 4) Care19 Alert, 5) Crush COVID RI, 6) MI COVID Alert, 7) DC CAN, 8) CombatCOVID MDC, 9) CombatCOVID PBC, 10) Stronger than C19. The top 10 iOS apps in descending order are: 1) SlowCOVIDNC, 2) COVIDWISE, 3) COVID Alert Pennsylvania, 4) COVID Alert DE, 5) COVID Alert NY, 6) Covid Watch Arizona, 7) Apple COVID-19, 8) COVID Alert NJ, 9) COVID Trace Nevada, 10) CDC. Of the 20 apps: COVID 19 information: 20/20; COVID-19 symptom QN: 8/20; DM: 2/20; HTN: 1/20; CardioVasc: 2/20; Spanish: 11/20 (2/11 of the Spanish apps have Chinese as well). Race: 5/20. Gender: 8/20; Sexual Orientation: 3/20; Age: 10/20. Conclusion: 1) Most apps do not ask about important risk factors such as DM, HTN, and Race. 2) Smartphone apps are not uniform in their health education features. 3) Healthcare providers should continue to play an important role in public education despite the ubiquity of mobile apps.

scholarly journals Weight loss during tuberculosis treatment is an important risk factor for drug-induced hepatotoxicity

2010 ◽  
Vol 105 (3) ◽  
pp. 400-408 ◽  
Author(s):  
Ina Warmelink ◽  
Nick H. ten Hacken ◽  
Tjip S. van der Werf ◽  
Richard van Altena
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Risk Factor ◽  
Multivariate Logistic Regression Analysis ◽  
Liver Function Tests ◽  
Drug Regimen ◽  
Important Risk Factor ◽  
Drug Induced ◽  
Tb Treatment ◽  
Independent Risk Factors

The objective of this study was to determine the association between weight loss and drug-induced hepatotoxicity (DIH). A retrospective observational study of 192 active tuberculosis (TB) patients consecutively admitted in a tertiary referral TB centre in the Netherlands was conducted. The outcome measure for DIH was defined as hepatotoxicity necessitating interruption of anti-TB drugs. Multivariate logistic regression analysis on interruption of anti-TB drugs was performed, with age, sex, nutritional status, TB disease severity, drug resistance, comorbidity including baseline liver function tests, anti-TB drug regimen, co-medication and addictions as independent risk factors. Anti-TB drugs were interrupted in thirty-one patients (16·1 %). The most important risk factor was weight loss of 2 kg or more within 4 weeks during TB treatment (OR 211, 95 % CI 36·0, 1232). Other independent risk factors were infection with hepatitis C (OR 19·6, 95 % CI 2·4, 164), age over 60 years (OR 18·5, 95 % CI 2·3, 151) and multi-drug-resistant TB (OR 8·2, 95 % CI 1·3, 53·6). This study shows that weight loss during TB treatment was the most important risk factor for DIH necessitating interruption of anti-TB drugs. Causes of weight loss during TB treatment and the association between weight change and hepatotoxicity need further investigation.

scholarly journals Diabetes Apps: Information about COVID-19 and Risk Factors?

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A374-A375
Author(s):  
Gloria Wu ◽  
Chap-Kay Kendra Lau ◽  
Brian Nguyen
Keyword(s):  
Risk Factors ◽  
Public Education ◽  
Blood Sugar ◽  
Diabetes Management ◽  
Search Term ◽  
Health Crisis ◽  
App Store ◽  
The Us ◽  
Language Accessibility ◽  
Google Play

Abstract Background: Annually, there are 3.7 billion downloads of mobile health apps. There are 275.6 million smartphones in the US. Diabetes affects 34.2 million people and 88 million have prediabetes. Diabetes is a risk factor for COVID-19 and affects longterm health of the survivors. Other risk factors for COVID-19, include race and gender. There are also linguistic barriers to care in Diabetes and COVID-19. Both diabetes and COVID-19 have higher risks associated with race and ethnicity. With the pandemic, the US government, Google and Facebook, in March 2020, provided emergency grants for COVID-19 and dissemination of public education. Did the Diabetes apps meet this moment of public health crisis?. Purpose: Do Diabetes Apps provide information about COVID-19 and its risk factors? Methods: Using the search term “diabetes,” the top ten most downloaded android and iOS apps were assessed in the Google Play Store/Apple App Store, respectively. Inclusion criteria: 1) Android: Downloads > 100,000; iOS: Reviews > 300, star rating >4. Apple App store does not provide download information. 2) Free; 3) Ability to track health data: HbA1C, FBS; 4) Language Accessibility via in-app language settings. Results: In the Google Play Store(DROID), the top ten apps in descending order were: 1) mySugr, 2) Onetouch Reveal, 3) OneDrop Diabetes Management, 4) Diabetes: M, 5) Health2Sync - Diabetes Care, 6) Diabetes, 7) Ontrack Diabetes, 8) Blood Glucose Tracker, 9) Glucose Buddy Diabetes Tracker, and 10) Diabetes Connect. In the Apple App Store(iOS), the top ten apps in descending order were: 1) OneTouch Reveal, 2) Glucose Buddy Diabetes, 3) One Drop for Diabetes, 4) Glucose - Blood Sugar Tracker, 5) Blood Sugar Monitor by Dario, 6) mySugr, 7) Sugarmate, 8) DiabetesPal, 9) Diabetes:M, 10) Center Health - The Diabetes App. Of the 10 DROID apps: 0/10 had COVID symptom information in the app; 3/10 had a COVID statement; In-app language settings: 2/10 had Spanish and 1/10 had Chinese. Gender: 7/10 Droid apps. Race/Ethnicity: 0/10. Of the ten iOS apps: 0/10 had COVID symptom information in the app; 4/10 had a COVID statement (Only mySugr has CDC link for COVID information); In-app language settings: 1/10 had Spanish and 0/10 had Chinese settings. Gender: 9/10 Droid apps; 7/10 iOS apps, Race/Ethnicty:1/10. Conclusion: Of the top 20 diabetes apps, none had information about COVID-19 and its symptoms within the app. Also, the overall language accessibility is limited. Despite popularity of ehealth, physicians can continue to play an important role in public education about Diabetes and COVID-19 during this important time of the pandemic.

Abstract P204: Coronary Heart Disease Risk Factors and Perceived Risk among Overweight and Obese Adults

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Christopher C Imes ◽  
Meghan Mattos ◽  
Yaguang Zheng ◽  
Lei Ye ◽  
Edvin Music ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Weight Loss ◽  
Risk Factor ◽  
Heart Disease ◽  
Perceived Risk ◽  
Pearson Correlation ◽  
Obese Adults ◽  
Chd Risk ◽  
Chd Risk Factors

Background: Obesity is a known risk factor for coronary heart disease (CHD) and plays a role in other CHD risk factors including dyslipidemia, hypertension, and type 2 diabetes mellitus. With nearly two-thirds of the adult US population being overweight and obese, it is important to know how these individuals perceive their CHD risk. Objective: The purpose of this study was to examine the associations between self-reported CHD risk factors and perceived CHD risk among overweight and obese adults. Methods: Demographic data, CHD risk factors, and perceived lifetime CHD risk were collected via electronic surveys using REDCap, an Internet-based data capture tool, of overweight and obese adults enrolled in a Weight Loss Research Registry. CHD risk factors were assessed using an investigator-developed survey of self-reported diagnoses of hyperlipidemia, hypertension, and diabetes, family history of CHD, and current smoking status. A risk factor ranking was assigned to each participant ranging from 0 to 5, with one point given for each of the aforementioned risk factors. Perceived lifetime CHD risk was assessed using a visual analogue scale with a range of 0 (No Risk) to 100 (High Risk). Linear regression and Pearson Correlation were used to analyze the data. Results: The response rate was 44.7% (N = 151) from 338 eligible adults. Respondents were mostly female (91%), White (81.5%), 51.3±10.4 years old with 16.2±2.9 years of education, 65.6% had annual household incomes ≥ $50,000. Males reported a higher perceived risk compared to females (77.6±18.0 vs. 64.9 ±21.5, p=.03). There was no difference in perceived risk based on age, race, education, or income. The prevalence of reported risk factors in the sample was as follows: 49.6% (n=75) had at least one first degree-relative with CHD, 32.5% (n=49) had hypertension, 31.8% (n=48) had hyperlipidemia, 3.9% (n=6) had diabetes and 3.3% (n=5) reported currently smoking. Perceived CHD risk was associated with the number of CHD risk factors (p<.001). The mean perceived risk increased incrementally as the number of risk factors increased: 56.5±24.8 for 0 risk factors (n=46), 65.1±17.6 for 1 risk factor (n=53), 74.3±18.4 for 2 risk factors (n=30), 77.0±17.3 for 3 risk factors (n=19), and 79.7±20.5 for respondents (n=3) with 4 risk factors. No respondent reported 5 risk factors. Conclusions: In this sample, the number of self-reported CHD risk factor was associated with perceived CHD risk (r= .353, p<.001). Male respondents had a higher perceived risk compared to females (77.6±18.0 vs. 64.9±21.5); however, the percent of males in the Registry was significantly lower than females (9% vs. 91%) This might suggest that males may require a higher perceived risk before enrolling in a Registry for weight loss studies. For these respondents, awareness of CHD risk factors and their health implications could be a motivator for enrollment in the Registry.

Nutritional status in the elderly with fragility syndrome

2021 ◽  
pp. 15-20
Author(s):  
Ana Popescu ◽  
◽  
Gabriela Soric ◽  
Felicia Lupascu-Volentir ◽  
Anatolie Negara ◽  
...  
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Risk Factor ◽  
Nutritional Status ◽  
Elderly Population ◽  
The Elderly ◽  
Geriatric Syndrome ◽  
Physical Status ◽  
Loss Of Autonomy ◽  
The Impact

During the twentieth century life expectancy has increased significantly and it was estimated that by 2030, 21% of the world’s population will be >65 years. According to observations, fragility syndrome and nutritional status problems are very common among the elderly population, especially in old age. Fragility syndrome has a multifactorial origin and is a fundamental risk factor for deteriorating health and the installation of disability in the elderly. The purpose of the study was to establish the interrelationship of nutritional status with fragility syndrome and the impact on the functionality of the elderly. The information was searched in the PubMed, Hinari, Cochrane, Elsevier, Springer databases, including the offi cial pages of the European Geriatric Society, European Society for Clinical Nutrition and Metabolism, to identify scientifi c journals dedicated to nutrition in the elderly with fragility syndrome. Studies published in the period 2010-2020, in romanian and english, were selected. Th e specialized literature, scientifi c journals, clinical studies were researched, from which the most relevant 34 were selected. Elderly malnutrition is currently a global problem, its prevalence in people is 10-40%. Th e diagnosis of malnutrition aims to identify it and elucidate the causes. Weight loss is a criterion of the development of fragility, and nutrition-focused interventions can prevent the progression of fragility syndrome and loss of autonomy with the onset of dependence. Fragility is a geriatric syndrome that aff ects several areas of physical status, and malnutrition is one of the risk factors for this syndrome.

The impact of health apps on lifestyle behaviours and cardiovascular risk factors in patients with cardiovascular risk factors or established cardiovascular disease: a systematic review

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
R Buys ◽  
J Claes ◽  
N Cornelis ◽  
L Alen ◽  
T Bogaert ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Weight Loss ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Healthy Lifestyle ◽  
Mobile Apps ◽  
Qualitative Synthesis ◽  
Health Apps

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – EU funding. Main funding source(s): European Union’s Horizon 2020 research and innovation programme Background  Adequate levels of physical activity (PA) and a healthy diet can contribute to weight loss, improved blood pressure, improved lipid levels and higher insulin sensitivity and thus decrease the risk for the development of cardiovascular disease (CVD). Recently, mobile technologies, such as mobile applications (apps) have been developed for supporting adherence to a healthy lifestyle in an individualized and interactive manner.  Purpose  The aim of this systematic review was to summarize the effectiveness of such mobile apps targeting PA and/or dietary behavior and cardiovascular risk factors in primary and secondary prevention.  Methods Four databases (Pubmed, Sportdiscus, Cinahl, Embase) were searched to identify prospective studies evaluating mobile apps targeting healthy diet and/or PA. Rayyan software was used for screening articles. Only interventional trials that assessed the effectiveness of health apps on diet, PA and/or cardiovascular risk factors were included. Quality assessment was performed using the MINORS tool. Qualitative synthesis was performed providing data summaries according to different subgroups: healthy adults, adults who are overweight, have obesity, hypertension, CVD or diabetes.  Results Out of 7073 records identified, 52 articles, reporting on 44 studies with variable study designs, could be included in qualitative synthesis. Interventions targeted diet, PA and/or adherence to therapy/healthy lifestyle and reported on at least one cardiovascular risk factor. In 20 studies, weight loss was a target of the mobile intervention, the vast majority (17/20 studies) reported weight loss following app usage of at least similar extent as usual care. Twenty-six mobile interventions targeted PA and/or exercise training and 23 of them resulted in an increase in PA in the short term. Four studies performed in patients with CVD showed that health app usage could be related to increased PA and improved diet, resulting in similar health benefits as usual care. The most commonly employed behavioural change methods were goal setting and self-monitoring, the use of financial incentives for inducing beneficial lifestyle changes yielded inconclusive results. Main limitations of the studies were small sample sizes, short follow-up duration and lack of controlled trial design.  Conclusion Mobile apps targeting healthy lifestyle for the management of cardiovascular risk factors seem to be valuable tools to add to current practice in preventive medicine. However, larger, controlled studies with longer follow-up duration are needed to confirm these early findings.

Korea Mobile Healthcare National Program on Risk Factors of Metabolic Syndrome: A Multicenter Retrospective Study (Preprint)

2021 ◽  
Author(s):  
Hyun Wook Han ◽  
Sun-Young Yang ◽  
Sung Soo Yoon ◽  
Sang Jun Lee ◽  
Yumi Oh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Risk Factor ◽  
Density Lipoprotein ◽  
Mobile App ◽  
National Program ◽  
Positive Direction ◽  
Average Value ◽  
Mobile Healthcare ◽  
Before And After

BACKGROUND Following the confirmation of the effect of the pilot of the Korea Mobile Healthcare National Program in 2016, the program has been conducted annually since 2018 to improve the risk factors for metabolic syndrome. However, since this implementation began, the program has not been evaluated. OBJECTIVE The purpose of this study was to retrospectively investigate the results of the Korea Mobile Healthcare National Program in 2018 and 2019. METHODS Health behavior of participants with risk factors for metabolic syndrome were managed using a mobile app for 24 weeks and feedback was provided. Paired t-test and chi squared test were used for comparing results before and after 24 weeks. RESULTS Of the 8,712 participants enrolled in 2018, 7,619 completed the 24 weeks program while 10,990 of the 12,447 participants enrolled in 2019 completed the program. After the program, over 60% participants had improvement in one or more risk factors (63.09% in 2018, 65.85% in 2019). There was a statistically significant improvement in the proportion of participants who had each risk factor (blood pressure, fasting plasma glucose, triglyceride, high density lipoprotein cholesterol, and waist circumference) in both 2018 and 2019 (p < .001). The average value of each risk factor also improved in a positive direction. CONCLUSIONS This study showed that the Korea Mobile Healthcare National Program may contribute to improvement in the risk factors for metabolic syndrome.

scholarly journals Use of mobile applications in the management of overweight and obesity in primary and secondary care

JRSM Open ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 205427041984382 ◽  
Author(s):  
Asmaa Alnuaimi ◽  
Salman Rawaf ◽  
Sondus Hassounah ◽  
Mohamad Chehab
Keyword(s):  
Weight Loss ◽  
Secondary Care ◽  
Large Scale ◽  
Mobile Apps ◽  
Empirical Studies ◽  
Mobile App ◽  
Overweight And Obesity ◽  
Positive Effects ◽  
Current Systematic Review ◽  
Scale Population

Summary Mobile technology has emerged as a potentially useful application in the process of facilitating weight loss management. While several empirical studies have demonstrated the positive effects of mobile-based interventions, the extent of such effectiveness is still a topic of debate. Thus, the current systematic review involved searching electronic databases for studies on the use of mobile app-based interventions in the management of overweight and obesity among adults over 18 years of age in a primary and secondary care setting. The results of the review revealed that mobile apps are effective tools for weight loss management and sustaining such loss when compared to standard interventions. However, further research is needed to consider the sustained benefits and the applicability of mobile app-based interventions for large-scale population coverage.

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