PURPOSE OF REVIEW: A critical evaluation of contemporary literature regarding the role of big data, artificial intelligence, and digital technologies in precision cardio-oncology care and survivorship, emphasizing innovative and groundbreaking endeavors. RECENT FINDINGS: Artificial intelligence (AI) algorithm models can automate the risk assessment process and augment current subjective clinical decision tools. AI, particularly machine learning (ML), can identify medically significant patterns in large data sets. Machine learning in cardio-oncology care has great potential in screening, diagnosis, monitoring, and managing cancer therapy-related cardiovascular complications. To this end, large-scale imaging data and clinical information are being leveraged in training efficient AI algorithms that may lead to effective clinical tools for caring for this vulnerable population. Telemedicine may benefit cardio-oncology patients by enhancing healthcare delivery through lowering costs, improving quality, and personalizing care. Similarly, the utilization of wearable biosensors and mobile health technology for remote monitoring holds the potential to improve cardio-oncology outcomes through early intervention and deeper clinical insight. Investigations are ongoing regarding the application of digital health tools such as telemedicine and remote monitoring devices in enhancing the functional status and recovery of cancer patients, particularly those with limited access to centralized services, by increasing physical activity levels and providing access to rehabilitation services. SUMMARY: In recent years, advances in cancer survival have increased the prevalence of patients experiencing cancer therapy-related cardiovascular complications. Traditional cardio-oncology risk categorization largely relies on basic clinical features and physician assessment, necessitating advancements in machine learning to create objective prediction models using diverse data sources. Healthcare disparities may be perpetuated through AI algorithms in digital health technologies. In turn, this may have a detrimental effect on minority populations by limiting resource allocation. Several AI-powered innovative health tools could be leveraged to bridge the digital divide and improve access to equitable care.

• Publication type
• Journal Article MeSH

Stres je často opisovaný ako rizikový faktor pre rozvoj širokého spektra ochorení. Pomerne menej preskúmanou oblasťou je však vplyv stresu na hladinu glukózy, a tým potenciálne na riziko rozvoja ochorenia diabetes mellitus 2. typu u všeobecne zdravých mladých jedincov, ktorí sú stresu vystavovaní na pravidelnej báze. Kazuistika opisuje vývoj glykémie v priebehu 14 dní u 23-ročnej študentky medicíny počas prípravy na skúšku ako aj samotnej skúšky z dermatológie. Hodnoty namerané zariadením FreeStyle Libre 2 sa väčšinu času pohybovali vo fyziologickom rozmedzí s očakávanými zvýšeniami po jedle a fyzickej aktivite. Inak mala glykémia relatívne stabilný vývoj v rámci normálnych hodnôt, až na okamih pár hodín pred skúškou, keď začala stúpať. U pozorovanej študentky došlo k zvýšeniu glykémie až na hodnotu 8,2 mmol/l najpravdepodobnejšie v reakcii na akútny stres.

Stress is often described as a risk factor for developing various diseases. However, a relatively less explored area is the effect of stress on glucose levels, and thus potentially on the risk of developing type 2 diabetes mellitus, in generally healthy young individuals who are exposed to stress regularly. This case report describes the glycaemic trends over 14 days in a 23-year-old medical student while preparing for an exam and the dermatology exam itself. Values measured by the FreeStyle Libre 2 device were within the physiological range most of the time, with expected increases after meals and physical activity. Otherwise, glycaemia had a relatively stable trend within expected values, except for a few hours before the exam when it began to rise. The observed student experienced an increase in glycaemia up to 8,2 mmol/l, most likely in response to acute stress.

• MeSH
• Hyperglycemia * etiology   MeSH
• Blood Glucose analysis   MeSH
• Humans MeSH
• Young Adult MeSH
• Stress, Psychological * MeSH
• Blood Glucose Self-Monitoring MeSH
• Test Anxiety MeSH
• Students, Medical MeSH
• Check Tag
• Humans MeSH
• Young Adult MeSH
• Female MeSH
• Publication type
• Case Reports MeSH

Článek prezentuje dílčí úspěchy v rámci intervence zrakového terapeuta / tyflopeda v jedné osobě a klinického logopeda v součinnosti s ergoterapeutem u klientky s kombinovaným postižením v oblasti sebesycení a nastavení režimových opatření k řešení projevů dysfagie. Kromě aspektu samostatného přijímání stravy jsou zdůrazněny i další specifické oblasti, v nichž je podporována samostatnost klientky s cílem dosáhnout co nejvyšší míry aktivizace. Cílem příspěvku je popsat proces nácviku sebesycení společně s jeho problematickými oblastmi včetně průběhu nastavování režimových opatření souvisejících také s rozvojem prostorové orientace, a to tak, aby tato opatření vyhovovala konkrétní klientce v kontextu poskytování sociální služby. Význam popsané intervence je klíčový z hlediska podpory soběstačnosti osoby se zdravotním postižením ve smyslu cílů poskytování sociálních služeb stejně jako monitorování bezpečnosti procesu příjmu potravy a tekutin.

The article presents partial successes within the framework of the intervention of a vision therapist/therapist for the visually impaired in one person and a clinical speech therapist in collaboration with an occupational therapist, for a client with a combined disability in the area of self-feeding and setting regimen measures to deal with dysphagia symptoms. In addition to the aspect of independent food intake, other specific areas are also emphasised in which the client's independence is supported, with the aim of achieving the highest possible level of activation. The aim of the article is to describe the process of training self-feeding, together with its problematic areas, including the process of setting regimen measures related to the development of spatial orientation so that they suit a particular client in the context of social services provided. The importance of the intervention described above is crucial in terms of supporting the self-sufficiency of a person with a disability, with reference to the goals of providing social services, as well as of monitoring the safety of the process of food and fluid intake.

• MeSH
• Adult MeSH
• Occupational Therapy MeSH
• Humans MeSH
• Intellectual Disability complications   MeSH
• Deglutition Disorders diagnosis   rehabilitation   therapy   MeSH
• Feeding and Eating Disorders diagnosis   therapy   MeSH
• Persons with Disabilities MeSH
• Eating MeSH
• Psychiatric Rehabilitation MeSH
• Psychological Tests MeSH
• Independent Living * MeSH
• Social Work MeSH
• Check Tag
• Adult MeSH
• Humans MeSH
• Female MeSH
• Publication type
• Case Reports MeSH

Obezita je chronické, relabující a progredující onemocnění s rostoucí prevalencí, které významně ovlivňuje zdraví a kvalitu života i u dětí. Je spojena se zvýšeným rizikem metabolických a kardiovaskulárních onemocnění, jako je inzulinová rezistence, diabetes mellitus 2. typu, hypertenze, dyslipidémie a metabolicky asociovaná steatóza jater. Obezita dále může vést k rozvoji syndromu spánkové apnoe, ortopedickým a psychickým komplikacím. Základem terapie je edukace zdravého životního stylu celé rodiny, která však často naráží na překážky, jako jsou časová náročnost, omezená dostupnost specialistů a nízká dlouhodobá adherence rodin. Telemedicína nabízí inovativní přístup ke zlepšení léčby obezity dětí prostřednictvím digitálních nástrojů, online konzultací, chytrých aplikací a nositelných technologií. Umožňuje efektivnější monitorování stravovacích a pohybových návyků, podporu psychického zdraví i snížení časové a finanční zátěže pro rodiny. Výsledky studií ukazují, že kombinace prezenční a distanční podpory a aktivní zapojení rodinných příslušníků vede k vyšší úspěšnosti v redukci tělesné hmotnosti a udržení zdravého životního stylu. Článek se zaměřuje na využití telemedicíny v léčbě obezity u dětí, přehled metod, které byly v této oblasti aplikovány, a jejich účinnost v kontextu současných vědeckých poznatků.

Obesity is a chronic, relapsing, and progressive disease with increasing prevalence, that significantly impacts health and quality of life, even in children. It is associated with an increased risk of metabolic and cardiovascular diseases such as insulin resistance, type 2 diabetes mellitus, hypertension, dyslipidemia, and metabolic dysfunction-associated steatotic liver disease. Additionally, obesity can lead to the development of sleep apnea syndrome, orthopedic issues, and psychological complications. The cornerstone of the care is educating the whole family about a healthy lifestyle; however, this may often be challenging due to obstacles such as time constraints, limited access to specialists, and low long-term adherence of families. Telemedicine offers an innovative approach to improving obesity treatment in children through digital tools, online consultations, smart applications, and wearable technologies. It enables more effective monitoring of dietary and physical activity habits, supports mental health, and reduces time and financial burdens for families. Studies indicate that combining in-person and remote support, along with active involvement of family members, leads to higher success rates in weight reduction and a healthy lifestyle maintenance. This article focuses on the use of telemedicine in the treatment of obesity in children, providing an overview of the methods applied in this field and their effectiveness in the context of current scientific knowledge.

• MeSH
• Child MeSH
• Humans MeSH
• Pediatric Obesity * therapy   MeSH
• Motor Activity MeSH
• Psychosocial Intervention methods   MeSH
• Preventive Health Services methods   MeSH
• Feeding Behavior psychology   MeSH
• Telemedicine * MeSH
• Life Style MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Publication type
• Research Support, Non-U.S. Gov't MeSH
• Review MeSH

BACKGROUND: The development of child's lifestyle occurs within regular 24-hour movement patterns under the guidance of parents. Accelerometer-based monitoring allows for the capture of these 24-hour movement patterns of behaviour. Therefore, the aim of this study was to reveal whether active participation in organised physical activity (OPA) contributed to the achievement of the World Health Organization's (WHO) 24-hour movement behaviour guidelines (24-hMBGS) among 3-10-year-old children, considering the influence of parents' movement behaviour and families' material background. METHODS: The 24-hour movement behaviour (24-hMB) of 348 child-parent pairs (with at least one parent) was continuously monitored for 7 days via ActiGraph accelerometers placed on the non-dominant wrist. Children's adherence to the WHO's 24-hMBGS was analysed using logistic regression analysis. The socioeconomic status (SES) of families was measured using the Family Affluence Scale. Body mass level was determined according to body mass index gender- and age-specific WHO reference data. Univariate analysis of variance/Pearson's chi-square test was used to test differences in sedentary behaviour duration/excess body weight between active participants and non-participants in OPA. RESULTS: Active 3-10-year-old participants in OPA, compared to non-participants, were significantly more likely to meet at least two of the 24-hMBGS (77.7% vs. 66.4%, p = 0.008), had significantly shorter daily sedentary time (by 30 min per day, p = 0.001), and a significantly lower prevalence of excessive body weight (10.26% vs. 24.87% p < 0.001). Engaging in OPA significantly (p < 0.01) helped 3-10-year-old children achieve at least two of the 24-hMBGS, regardless of their gender, age, excess body weight, or family SES. In addition, a mother's non-excessive body weight and achievement of at least two of the WHO's 24-hMBGS significantly (p < 0.05) contributed to children attaining at least two of the WHO's 24-hMBGS. CONCLUSIONS: Even in young children, active participation in OPA tend to contribute to a healthier lifestyle profile, characterised by shorter sedentary behaviour and lower excess body weight, with a significant influence from the mother's movement behaviour.

• MeSH
• Accelerometry MeSH
• Exercise * MeSH
• Child MeSH
• Humans MeSH
• Child, Preschool MeSH
• Parents MeSH
• Sedentary Behavior * MeSH
• Guidelines as Topic * MeSH
• Sleep MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Male MeSH
• Child, Preschool MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

Cíl: Cílem longitudinální studie bude zjistit rozdíly v 24hodinovém pohybovém chování (24hMB) (tj. spánku, sedavém chování (SB) a pohybové aktivitě (PA)) u českých dětí po jejich přestupu z mateřské do základní školy (ZŠ) (resp. z první/druhé třídy ZŠ do vyšších ročníků ZŠ) s ohledem na socioekonomické zázemí rodin, výskyt nadměrné tělesné hmotnosti účastníků či účasti v organizované PA. Metodika: 24hMB bude monitorováno po dobu 7 dnů pomocí akcelerometrů ActiGraph u rodin z městských a venkovských obcí z regionů Čech, Moravy a Slezska, jejichž členové dokončili první etapu výzkumu v období března 2022 až května 2023. Celkem 260 rodin, které dokončily první etapu výzkumu, poskytlo v rodinném deníku kontaktní údaje a nevyloučilo možnost pokračovat ve výzkumu ve druhé etapě v roce 2025/2026. Rodinný deník bude kromě informací o každodenním času uléhání/vstávání, době trávené před obrazovkou/monitorem/displejem obsahovat i informace o účasti v organizované PA, antropometrická data a údaje o rodinném zázemí. Výsledky: Z první etapy výzkumu vyplynulo, že celkem 25,9 % dívek a 26,7 % chlapců splnilo všechna tři doporučení ke spánku, PA a SB současně a dalších 44,7 % dívek a 46,1 % chlapců dosáhlo alespoň kombinaci dvou z těchto tří doporučení, bez rozdílů mezi pohlavím, věkovou kategorií nebo úrovní tělesné hmotnosti dětí. Nadměrná tělesná hmotnost matek významně (p < 0,05) snížila šanci dětí dosáhnout alespoň dvou ze tří doporučení, zatímco vysokoškolské vzdělání rodičů a dodržování alespoň dvou ze tří doporučení matkami významně (p < 0,05) zvýšilo pravděpodobnost, že také děti doporučení dodrží. Účast dětí v organizované PA významně (p < 0,05) zvyšuje jejich šanci na dosažení alespoň dvou ze tří doporučení k 24hMB. Závěry: První etapa longitudinálního výzkumu poukázala na stěžejní rodinné faktory (úroveň vzdělání rodičů, matčina úroveň tělesné hmotnosti a míra dosažení doporučení k 24hMB, podpora aktivní účasti dětí v organizované PA) zvyšující šanci dětí ke splnění zdravotních doporučení pro 24hMB.

Objective: The aim of this longitudinal study will be to investigate the differences in 24-hour movement behaviour (24hMB) (i.e., sleep, sedentary behaviour (SB) and physical activity (PA)) in Czech children after their transition from kindergarten to primary school (or from first/second grade to upper grades of primary school) with respect to the socioeconomic background of families, the prevalence of overweight participants or participation in organised PA. Methods: 24hMB will be monitored for seven days using ActiGraph accelerometers in families from urban and rural areas in the Bohemia, Moravia and Silesia regions, whose members completed the first phase of the study between March 2022 and May 2023. The 260 families who finished the first phase of the research provided their contact details in the family diary and have not ruled out the possibility of participating in the second phase in 2025/2026. The family diary will include information on daily bedtime and wake-up times, screen time, and participation in organised PA, as well as anthropometric data and family background information. Results: The findings from the first phase of the research showed that a total of 25.9% of girls and 26.7% of boys met all three guidelines on sleep, PA and SB simultaneously, and 44.7% of girls and 46.1% of boys achieved at least a combination of two of the three guidelines. No differences were observed between gender, age, or body weight levels of the children. Maternal excess body weight significantly (p < 0.05) decreased the odds of children achieving at least two of the three guidelines, whereas parental higher education and maternal adherence to at least two of the three guidelines significantly (p < 0.05) increased the odds that children also complied with the guidelines. Children’s participation in organised PA significantly (p < 0.05) increased their chances of achieving at least two of the three 24hMB guidelines. Conclusions: The first phase of the longitudinal research highlighted key family factors (parental education level, mother’s body weight, adherence to 24hMB guidelines, and support for children’s active participation in organised PA) that increase children’s chances of meeting guidelines for 24hMB.

• Keywords
• studie FAMIPASS,
• MeSH
• Accelerometry MeSH
• Child MeSH
• Humans MeSH
• Longitudinal Studies MeSH
• Adolescent MeSH
• Motor Activity * MeSH
• Child, Preschool MeSH
• Sedentary Behavior * MeSH
• Sleep MeSH
• Parent-Child Relations MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Adolescent MeSH
• Male MeSH
• Child, Preschool MeSH
• Female MeSH
• Publication type
• Research Support, Non-U.S. Gov't MeSH
• Geographicals
• Czech Republic MeSH

OBJECTIVE: The aim of the study was the assessment of adherence to antiretroviral (ARV) treatment in a population of people living with HIV (PWH), improving the awareness of PWH, drawing attention to the risk of developing HIV drug resistance and subsequent treatment failure. METHODS: The basic cohort consisted of PWH followed up long-term at the HIV centre of the University Hospital Pilsen. Adherence to treatment was assessed by ARV levels. Nucleoside analogs were determined in urine by high pressure liquid chromatography (HPLC), in relation to clinical data, viral load (HIV RNA), and absolute CD4 and CD8 T cell counts. To assess mental and physical state of the patients, a modified SF-36 questionnaire was used to measure social relationships, education and ability to relax. RESULTS: From a group of 131 PWH, 18 (13.7%) with zero levels and 113 (86.3%) with any detectable ARV levels were followed for 6-12 months. A statistically significant lower viral load was demonstrated in patients who adhered to the treatment at the time of the test as indicated by ARV levels in the urine. CD4 T lymphocyte values in adherent patients were, as expected, statistically significantly higher. A significant difference for CD8 T lymphocyte was not demonstrated. A survey assessed subjective factors influencing the degree of adherence. PWH consider important: quality care enabling trust, low risk of developing opportunistic infections, self-sufficiency, quality of sleep, managing leisure activities, and good family relationships. Quality of life evaluation and satisfaction in the monitored areas were similar in both groups of PWH. CONCLUSIONS: Non-adherence leads to deterioration of CD4 and viral load levels and may be the cause of the development of HIV drug resistance and treatment failure on the part of the patient. PWH with zero or low urinary nucleoside levels were repeatedly instructed about the need for regular and sustained medication use. Regular checks with a laboratory examination service are needed to detect early emergence of resistance and side effects of the treatment, which are initially only detectable in the laboratory.

• MeSH
• Medication Adherence * psychology   MeSH
• Adult MeSH
• HIV Infections * drug therapy   psychology   MeSH
• Cohort Studies MeSH
• Quality of Life * MeSH
• Anti-HIV Agents * therapeutic use   urine   MeSH
• Middle Aged MeSH
• Humans MeSH
• CD4 Lymphocyte Count MeSH
• Viral Load MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

OBJECTIVES: Regular physical activity (PA) and reduced sedentary behaviour (SB) have been associated with positive health outcomes, but many older adults do not comply with the current recommendations. Sensor-triggered ecological momentary assessment (EMA) studies allow capturing real-time data during or immediately after PA or SB, which can yield important insights into these behaviours. Despite the promising potential of sensor-triggered EMA, this methodology is still in its infancy. Addressing methodological challenges in sensor-triggered EMA studies is essential for improving protocol adherence and enhancing validity. Therefore, this study aimed to examine (1) the patterns in sensor-triggered EMA protocol adherence (eg, compliance rates), (2) the impact of specific settings (eg, event duration) on the number of prompted surveys, and (3) participants' experiences with engaging in a sensor-triggered EMA study. DESIGN: Two longitudinal, sensor-triggered EMA studies-one focused on PA and the other on SB-were conducted using similar methodologies from February to October 2022. Participants' steps were monitored for seven days using a Fitbit activity tracker, which automatically prompted an EMA survey through the HealthReact smartphone application when specified (in)activity thresholds were reached. After the monitoring period, qualitative interviews were conducted. Data from both studies were merged. SETTING: The studies were conducted among community-dwelling Belgian older adults. PARTICIPANTS: The participants had a median age of 72 years, with 54.17% being females. The PA study included 88 participants (four dropped out), while the SB study included 76 participants (seven dropped out). PRIMARY AND SECONDARY OUTCOME MEASURES: Descriptive methods and generalised logistic mixed models were employed to analyse EMA adherence patterns. Simulations were conducted to assess the impact of particular settings on the number of prompted EMA surveys. Additionally, qualitative interview data were transcribed verbatim and thematically analysed using NVivo. RESULTS: Participants responded to 81.22% and 79.10% of the EMA surveys in the PA and SB study, respectively. The confirmation rate, defined as the percentage of EMA surveys in which participants confirmed the detected behaviour, was 94.16% for PA and 72.40% for SB. Logistic mixed models revealed that with each additional day in the study, the odds of responding to the EMA survey increased significantly by 1.59 times (OR=1.59, 95% CI: 1.36 to 1.86, p<0.01) in the SB study. This effect was not observed in the PA study. Furthermore, time in the study did not significantly impact the odds of participants confirming to be sedentary (OR=0.97, 95% CI: 0.92 to 1.02, p=0.28). However, it significantly influenced the odds of confirming PA (OR: 0.81, 95% CI: 0.68 to 0.97, p=0.02), with the likelihood of confirming decreasing by 19% with each additional day in the study. Furthermore, a one-minute increase in latency (ie, time between last syncing and starting the EMA survey) in the PA study decreased the odds of the participant confirming to be physically active by 20% (OR: 0.80, 95% CI: 0.72 to 0.89, p<0.01). Simulations of the specific EMA settings revealed that reducing the event duration and shorter minimum time intervals between prompts increased the number of EMA surveys. Overall, most participants found smartphone usage to be feasible and rated the HealthReact app as user-friendly. However, some reported issues, such as not hearing the notification, receiving prompts at an inappropriate time and encountering technical issues. While the majority reported that their behaviour remained unchanged due to study participation, some noted an increased awareness of their habits and felt more motivated to engage in PA. CONCLUSIONS: This study demonstrates the potential of sensor-triggered EMA to capture real-time data on PA and SB among older adults, showing strong adherence potential with compliance rates of approximately 80%. The SB study had lower confirmation rates than the PA study, due to technical issues and discrepancies between self-perception and device-based measurements. Practical recommendations were provided for future studies, including improvements in survey timing, technical reliability and strategies to reduce latency.

• MeSH
• Exercise * MeSH
• Fitness Trackers MeSH
• Humans MeSH
• Longitudinal Studies MeSH
• Ecological Momentary Assessment * MeSH
• Independent Living * MeSH
• Sedentary Behavior * MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Belgium MeSH

Human movement behaviour typically unfolds in 24-h cycles, with children being additionally influenced by their parents. Therefore, the aim of this study was to investigate the adherence of 3-10-year-old children to the World Health Organization's (WHO) 24-h movement behaviour guidelines in relation to the behaviours of their mothers/fathers. Data from the Czech cross-sectional FAMIly Physical Activity, Sedentary behaviour and Sleep study included 381 families (with at least one child aged 3-10 years) from urban and rural areas across all three regions of Czechia. Twenty four-hour movement behaviour (sleep, sedentary behaviour, and physical activity) was monitored using ActiGraph accelerometers placed on the non-dominant wrists of children and their parents for seven consecutive days. Children's adherence to the WHO guidelines was analysed using logistic regression analysis. 25.9% of girls and 26.7% of boys simultaneously met all three 24-h movement behaviour guidelines (sleep + sedentary + physical activity), and 44.7% of girls and 46.1% of boys met any combination of two of the three guidelines, regardless of the children's gender, weight, or calendar age. Maternal overweight/obesity significantly (P = .05) decreased the odds of children achieving at least two of the three guidelines, while parental university education and maternal adherence to at least two of the three guidelines significantly (P = .05) increased the odds of children complying with these guidelines. Parents, especially mothers, play an important role in influencing their children in meeting 24-h movement behaviour guidelines and in shaping a healthy lifestyle.

• MeSH
• Exercise * MeSH
• Child MeSH
• Guideline Adherence * statistics & numerical data   MeSH
• Adult MeSH
• Humans MeSH
• Mothers MeSH
• Child, Preschool MeSH
• Cross-Sectional Studies MeSH
• Parents * psychology   MeSH
• Sedentary Behavior * MeSH
• Sleep * MeSH
• Check Tag
• Child MeSH
• Adult MeSH
• Humans MeSH
• Male MeSH
• Child, Preschool MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH

BACKGROUND: To design effective tailored interventions to promote physical activity (PA) among older adults, insights are needed into the contexts in which older adults engage in PA and their affective and physical experiences. Sensor-triggered event-based ecological momentary assessment (EMA) is an innovative method for capturing real-life contexts, as well as affective and physical states, during or immediately after specific events, such as PA. This study aimed to (1) describe the physical and social contexts, and the affective and physical states during PA among older adults, (2) evaluate how these constructs fluctuate during PA episodes, and (3) describe affective states during PA according to the context. METHODS: An intensive longitudinal sensor-triggered event-based EMA study was conducted with 92 Belgian older adults (65 + years). During seven days, participants were monitored using a Fitbit, which triggered a smartphone-based questionnaire on the event-based EMA platform 'HealthReact' after a five-minute walk. Participants reported on contexts and affective (positive/negative valence) and physical states (pain and fatigue) during the PA event. Descriptive statistics and generalized mixed models were used for data analysis. RESULTS: Older adults predominantly engaged in daily physical activities, such as walking for transport, leisure walking, and gardening, rather than structured exercise. They consistently reported high positive affect, low negative affect, and minimal physical complaints during PA. Furthermore, older adults mainly engage in physical activities alone, particularly in outdoor settings. Variations in contexts, affect, and fatigue were mostly driven by within-subject differences. The model showed significant differences across times of day, with negative affect being highest in the evening and fatigue lowest in the morning. Additionally, the physical and social context influenced negative affect (but not positive affect), with outdoor activities performed alone and indoor activities performed with others being associated with lower negative affect. CONCLUSIONS: While these findings could enhance the effectiveness of tailored PA interventions, it remains unclear whether the observed affective and physical states are causes or effects of PA, and whether the contexts in which the activities were performed align with older adults' preferences. Further research is needed to explore these relationships and to better understand older adults' preferred PA contexts.

• MeSH
• Affect * MeSH
• Walking MeSH
• Smartphone MeSH
• Exercise * psychology   MeSH
• Humans MeSH
• Longitudinal Studies MeSH
• Ecological Momentary Assessment * MeSH
• Surveys and Questionnaires MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Fatigue MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Belgium MeSH