Understanding User Perspectives to Inform Personalized Physical Activity Promotion in a Health Care App: Qualitative Focus Group Interview Study Background: Health care apps are widely used to support weight loss and lifestyle modification. Many of these apps offer tailored feedback on dietary intake and nutritional behavior. However, most lack personalized features that promote physical activity (PA), which is important for weight management, metabolic health, and chronic disease prevention. To develop future personalized PA promotion functions, it is essential to understand users’ perceptions of PA. Objective: This study aimed to explore health care app users’ perception of PA, including perceived motivators and barriers. Methods: A qualitative study was conducted using focus group interviews with health care app users. Participants were recruited regardless of age, sex, or body mass index. A thematic analysis was conducted using a combination of inductive and deductive approaches. Question 1 (“How do you perceive the importance of physical activity?”) was analyzed inductively, whereas questions 2 (“What are the motivating factors for engaging in physical activity?”) and 3 (“What are the barriers to engaging in physical activity?”) were analyzed deductively based on the social ecological model. Results: Eleven participants were interviewed and were unfamiliar with the term “physical activity” but recognized the importance of movement and reducing sedentary behavior. The identified motivators included improvements in mood; changes in physical appearance; support from family; alignment with personal routines and conditions (eg, goal setting, feedback, reminders, and praise); and tailoring to physical condition, daily schedules, and weather. The reported barriers included time restrictions due to work, fatigue, weather, remote work, and social pressure in workplace settings. Conclusions: This study provides user-informed insights that can inform the design of personalized approaches better aligned with daily routines, competing demands, and situational barriers. Future work should evaluate how incorporating such user perspectives into personalized support strategies affects engagement and PA.

JMIR Formative Res: Understanding User Perspectives to Inform Personalized Physical Activity Promotion in a Health Care App: Qualitative Focus Group Interview Study #HealthCareApps #PhysicalActivity #WellnessJourney #UserEngagement #LifestyleModification

SCANS CLEAR! Never underestimate the power of #CollectiveConsciousness, #SoulWork, #LifestyleModification and #Gratitude! Today I am grateful to all of you who sent love and prayers for this round of scans! I have always said that my remission is not just my gift, but yours as well! TY #Scanxiety

I'm attending a vascular conference. Experts from around the country have convened to discuss the epidemic of diabetes, heart disease, and poor leg and foot circulation. They've discussed every single possible intervention, except healthy food and body movement. #lifestylemodification #itsthefood

Association between baseline adherence to a healthy lifestyle with ischemic and major cardiovascular events in patients with atrial fibrillation

【OAC開始AF例が生活習慣改善で転帰著明改善？/EJPC】

スペイン、OAC開始AF 3,266例 [中央値77歳] 、2年観察:

・生活習慣改善アドヒアランス「高」群 [27.7%] では「低」群に比べ、虚血性イベントの補正後HRが0.59 [95%CI：%CI：0.42-0.81]。
・「脳梗塞/TIA・塞栓症」で比較しても同様。

x.gd/JWRuY

#AF #LifestyleModification

Cardiac Self-Efficacy Improvement in a Digital Heart Health Program: Secondary Analysis From a #feasibility and Acceptability Pilot Study Background: Lifestyle modification programs play a critical role in preventing and managing cardiovascular disease. A key aim of many programs is improving patients’ self-efficacy. In-person lifestyle modification programs can improve self-efficacy for managing cardiovascular disease risk, otherwise known as cardiac self-efficacy. However, such programs are typically staffing and resource intensive. Digital lifestyle modification programs may offer a scalable and accessible way to improve cardiac self-efficacy, but this has not been shown in prior research. Objective: This study examined changes in cardiac self-efficacy among individuals using a digital lifestyle modification program for cardiovascular health. Evaluation of improvement in cardiac self-efficacy was a secondary goal of a #feasibility and acceptability pilot study of a digital program for Heart Health. Methods: Participants enrolled in a pilot study that involved mobile app-based artificial intelligence (#AI)-powered health coaching and educational lessons focused on behaviors that promote cardiovascular health. Participants completed the 9-item Cardiac Self-Efficacy Scale at baseline and in month 2. Changes in confidence in participants’ ability to manage their cardiovascular health were assessed. Results: The sample included 273 participants (61.2% female, M age = 59.3) who submitted a complete Cardiac Self-Efficacy Scale at baseline and in month 2. Total Cardiac Self-Efficacy Scale score increased by 12.9% (p

JMIR Formative Res: Cardiac Self-Efficacy Improvement in a Digital Heart Health Program: Secondary Analysis From a #feasibility and Acceptability Pilot Study #CardiacHealth #SelfEfficacy #LifestyleModification #DigitalHealth #HeartHealth

Hidden belly fat can predict Alzheimer’s 20 years before symptoms appear: Study - Yes Punjab News US researchers find a link between visceral fat and abnormal brain proteins, key indicators of Alzheimer's disease, predicting dementia risk up to 20 years early.

Hidden belly fat can predict Alzheimer’s 20 years before symptoms appear: Study yespunjab.com?p=68430

#VisceralFat #AlzheimersDisease #BrainHealth #Obesity #AlzheimerRisk #VisceralFatLink #MRIResearch #AmyloidTau #RadiologicalSociety #ObesityStudy #CognitiveHealth #LifestyleModification