Measuring 24-h use of time in people with a diabetes-related foot ulcer: A feasibility study.

BACKGROUND: Physical activity (PA), sleep and sedentary time are now recognised as mutually exclusive and exhaustive parts of the 24-h day-if PA decreases, time spent sleeping, being sedentary or both must increase so that all components equate to 24 h. Recent advances in time-use epidemiology suggest that we should not consider time-use domains (PA, sleep and sedentary time) in isolation from each other, but in terms of a composition-the mix of time-use domains across the 24-h day. While interrelated daily activities are known to be important in the management of diabetes mellitus, few studies have investigated the interrelated daily activities in people with an active diabetes-related foot ulcer (DFU) and their impact on important outcomes such as wound severity, blood glucose control and health-related quality of life (HRQoL). This feasibility study aims to determine the acceptability and practicality of measuring 24-h use of time data in people with a DFU and its associations on important outcome measures for this population. METHODS: Participants wore a wrist-worn accelerometer for two weeks and completed demographic and HRQoL questionnaires. Outcomes were participant engagement, reported levels of study burden and value and compositional data analysis as a methodological approach for evaluating 24-h use of time data. RESULTS: Twenty-six participants reported low levels of study burden and rated the study value highly. The protocol appears feasible in terms of recruitment (81%) and retention rate (86%). On average, participants were relatively sedentary spending 747, 172 and 18 min in sedentary time, light physical activity and moderate-to-vigorous activity, respectively. Sleep appeared adequate with participants obtaining an average of 485 min, but quality of sleep was notably poor with average sleep efficiency of 75%. Compositional data analysis was able to quantify the integrated associations of 24-h use of time with HRQoL. CONCLUSION: The protocol provides an acceptable method to collect 24-h use of time data in people with a DFU. Efforts to consider and analyse PA as part of a 24-h activity composition may provide holistic and realistic understandings of PA in this clinical population.

Systematic review and meta-analysis of the effectiveness of chatbots on lifestyle behaviours.

Chatbots (also known as conversational agents and virtual assistants) offer the potential to deliver healthcare in an efficient, appealing and personalised manner. The purpose of this systematic review and meta-analysis was to evaluate the efficacy of chatbot interventions designed to improve physical activity, diet and sleep. Electronic databases were searched for randomised and non-randomised controlled trials, and pre-post trials that evaluated chatbot interventions targeting physical activity, diet and/or sleep, published before 1 September 2022. Outcomes were total physical activity, steps, moderate-to-vigorous physical activity (MVPA), fruit and vegetable consumption, sleep quality and sleep duration. Standardised mean differences (SMD) were calculated to compare intervention effects. Subgroup analyses were conducted to assess chatbot type, intervention type, duration, output and use of artificial intelligence. Risk of bias was assessed using the Effective Public Health Practice Project Quality Assessment tool. Nineteen trials were included. Sample sizes ranged between 25-958, and mean participant age ranged between 9-71 years. Most interventions (n = 15, 79%) targeted physical activity, and most trials had a low-quality rating (n = 14, 74%). Meta-analysis results showed significant effects (all p < 0.05) of chatbots for increasing total physical activity (SMD = 0.28 [95% CI = 0.16, 0.40]), daily steps (SMD = 0.28 [95% CI = 0.17, 0.39]), MVPA (SMD = 0.53 [95% CI = 0.24, 0.83]), fruit and vegetable consumption (SMD = 0.59 [95% CI = 0.25, 0.93]), sleep duration (SMD = 0.44 [95% CI = 0.32, 0.55]) and sleep quality (SMD = 0.50 [95% CI = 0.09, 0.90]). Subgroup analyses showed that text-based, and artificial intelligence chatbots were more efficacious than speech/voice chatbots for fruit and vegetable consumption, and multicomponent interventions were more efficacious than chatbot-only interventions for sleep duration and sleep quality (all p < 0.05). Findings from this systematic review and meta-analysis indicate that chatbot interventions are efficacious for increasing physical activity, fruit and vegetable consumption, sleep duration and sleep quality. Chatbot interventions were efficacious across a range of populations and age groups, with both short- and longer-term interventions, and chatbot only and multicomponent interventions being efficacious.

Children's activity and diet behaviours in the summer holidays versus school year.

BACKGROUND: Evidence shows children gain more weight during the summer holidays versus the school year. OBJECTIVES: To examine within-child differences in activity and diet behaviours during the summer holidays versus the school year. METHODS: Children (mean age 9.4 years; 37% male) wore accelerometers (GENEActiv; n = 133), reported activities (Multimedia Activity Recall for Children and Adolescents; n = 133) and parents reported child diet (n = 133) at five timepoints over 2 years capturing school and summer holiday values. Mixed-effects models were used to compare school and summer holiday behaviours. RESULTS: Children spent less time in moderate- to vigorous-physical activity (-12 min/day; p = 0.001) and sleep (-12 min/day; p < 0.001) and more time sedentary (+27 min/day; p < 0.001) during summer holidays versus the school year. Screentime (+70 min/day; p < 0.001), domestic/social activities (+43 min/day; p = <0.001), self-care (+24 min/day; p < 0.001), passive transport (+22 min/day; p = 0.001) and quiet time (+16 min/day; p = 0.012) were higher during the summer holidays, compensating for less time in school-related activities (-164 min/day; p < 0.001). Diet quality was lower (-4 points; p < 0.001) and children consumed fewer serves of fruit (-0.4 serves; p < 0.001) during the summer holidays versus the school year. CONCLUSIONS: Children are displaying poorer activity and diet behaviours during the summer holidays, which may contribute to accelerated weight gain over the holiday period.

Parent wellbeing, family screen time and socioeconomic status during early childhood predict physical activity of Aboriginal and Torres Strait Islander children at ages 8-13.

OBJECTIVES: Physical activity is holistically linked to culture and wellbeing among Aboriginal and Torres Strait Islander peoples, the First Nation Peoples of Australia. Socioecological correlates of high physical activity among Indigenous children include living in a remote area and low screen time but little is known about early life determinants of physical activity. This paper examines sociodemographic, family, community, cultural, parent social and emotional wellbeing determinants of physical activity among Aboriginal and Torres Strait Islander children. DESIGN: Longitudinal cohort study. METHODS: The Longitudinal Study of Indigenous Children, the largest First Nations child cohort study in the world, primarily collects data through parental report. Multiple logistic regression analyses examined Wave 1 (age 0-5 years) predictors of achieving ≥1 h/day of physical activity at Wave 9 (aged 8-13 years). RESULTS: Of the 1181 children, 596 (50.5 %) achieved ≥1 h of physical activity every day. Achieving ≥1 h/day of physical activity at Wave 9 was associated with the following Wave 1 determinants: high parent social and emotional wellbeing (resilience; adjusted odds ratio 1.87 (95 % confidence interval: 1.32-2.65)), living in remote (odds ratio 3.66 (2.42-5.54)), regional (odds ratio 2.98 (2.13-4.18)) or low socioeconomic areas (odds ratio 1.85 (1.08-3.17)), main source of family income not wages/salaries (odds ratio 0.66 (0.46-0.97)), and if families played electronic games (odds ratio 0.72 (0.55-0.94)). CONCLUSIONS: To achieve high physical activity levels among Aboriginal and Torres Strait Islander children, high parental culture specific social and emotional wellbeing and low family screen time in early life may compensate for apparently low socio-economic circumstances, including living in remote areas.

Joint Profiles of Sedentary Time and Physical Activity in Adults and Their Associations with Cardiometabolic Health.

PURPOSE: This study aimed to identify and characterize joint profiles of sedentary time and physical activity among adults and to investigate how these profiles are associated with markers of cardiometabolic health. METHODS: The participants included 3702 of the Northern Finland Birth Cohort 1966 at age 46 yr, who wore a hip-worn accelerometer during waking hours and provided seven consecutive days of valid data. Sedentary time, light-intensity physical activity, and moderate- to vigorous-intensity physical activity on each valid day were obtained, and a data-driven clustering approach ("KmL3D") was used to characterize distinct joint profiles of sedentary time and physical activity intensities. Participants self-reported their sleep duration and performed a submaximal step test with continuous heart rate measurement to estimate their cardiorespiratory fitness (peak heart rate). Linear regression was used to determine the association between joint profiles of sedentary time and physical activities with cardiometabolic health markers, including adiposity markers and blood lipid, glucose, and insulin levels. RESULTS: Four distinct groups were identified: "active couch potatoes" ( n = 1173), "sedentary light movers" ( n = 1199), "sedentary exercisers" ( n = 694), and "movers" ( n = 636). Although sufficiently active, active couch potatoes had the highest daily sedentary time (>10 h) and lowest light-intensity physical activity. Compared with active couch potatoes, sedentary light movers, sedentary exercisers, and movers spent less time in sedentary by performing more physical activity at light-intensity upward and had favorable differences in their cardiometabolic health markers after accounting for potential confounders (1.1%-25.0% lower values depending on the health marker and profile). CONCLUSIONS: After accounting for sleep duration and cardiorespiratory fitness, waking activity profiles characterized by performing more physical activity at light-intensity upward, resulting in less time spent in sedentary, were associated with better cardiometabolic health.

Are all MVPA minutes equal? Associations between MVPA characteristics, independent of duration, and childhood adiposity.

BACKGROUND: The inverse relationship between moderate-to-vigorous physical activity (MVPA) duration and childhood adiposity is well established. Less is known about how characteristics of MVPA accumulation may be associated with adiposity, independent of MVPA duration. This study aimed to investigate how the MVPA characteristics of children, other than duration (bout length, time of day, day-to-day consistency, intensity), were associated with adiposity. METHODS: Cross-sectional study of the Australian arm of the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE) (participants: n = 424, age range 9-11, 44% male). Adiposity was determined by percent body fat via bioelectrical impedance. MVPA duration and characteristics (bout length, time of day, consistency, intensity) were derived from 7-day, 24-h accelerometry. Generalised estimating equations were used to examine the individual and multivariate associations between MVPA characteristics and adiposity. RESULTS: Univariate analyses showed that higher MVPA duration (ß range = - 0.26,-0.15), longer bouts of MVPA (ß range = 0.15,0.22) and higher MVPA intensity (ß range = - 0.20,-0.13) were all inversely associated with adiposity (all p < 0.05). When models were adjusted for MVPA duration, only MVPA intensity (ß range = - 0.16,-0.04) showed consistent significant associations with adiposity. CONCLUSIONS: Characteristics of MVPA other than duration and intensity appear to be unrelated to adiposity.

Does home equipment contribute to socioeconomic gradients in Australian children's physical activity, sedentary time and screen time?

BACKGROUND: Activity behaviours (physical activity, sedentary time and screen time) have been linked to health outcomes in childhood. Furthermore, socioeconomic disparities have been observed in both children's activity behaviours and health outcomes. Children's physical home environments may play a role in these relationships. This study aimed to examine the associations and interactions between children's physical home environment, socioeconomic status and moderate-to-vigorous physical activity, sedentary time and screen time. METHODS: Australian children (n = 528) aged 9-11 years from randomly selected schools participated in the cross-sectional International Study of Childhood Obesity, Lifestyle and the Environment. Children's physical home environment (access to equipment), socioeconomic status (household income and parental education) and demographic variables (gender and family structure) were determined by parental questionnaire. Moderate-to-vigorous physical activity and sedentary time were measured objectively by 7-day 24-h accelerometry. Screen time was obtained from child survey. The associations between the physical home environment, socioeconomic status and moderate-to-vigorous physical activity, sedentary time and screen time were examined for 427 children, using analysis of covariance, and linear and logistic regression, with adjustment for gender and family structure. RESULTS: The presence of TVs (p < 0.01) and video game consoles (p < 0.01) in children's bedrooms, and child possession of handheld video games (p = 0.04), cell phones (p < 0.01) and music devices (p = 0.04) was significantly and positively associated with screen time. Ownership of these devices (with the exception of music devices) was inversely related to socioeconomic status (parental education). Children's moderate-to-vigorous intensity physical activity (p = 0.04) and possession of active play equipment (p = 0.04) were both positively associated with socioeconomic status (household income), but were not related to each other (with the exception of bicycle ownership). CONCLUSIONS: Children with less electronic devices, particularly in their bedrooms, participated in less screen time, regardless of socioeconomic status. Socioeconomic disparities were identified in children's moderate-to-vigorous physical activity, however socioeconomic status was inconsistently related to possession of active play equipment. Home active play equipment was therefore not a clear contributor to the socioeconomic gradients in Australian children's moderate-to-vigorous physical activity.

The associations between physical activity, sedentary behaviour and academic performance.

OBJECTIVES: To examine the relationships between children's moderate-to-vigorous physical activity (MVPA), sedentary behaviours, and academic performance. DESIGN: This study investigated cross-sectional relationships between children's accelerometer-measured physical activity and sedentary behaviour patterns, and academic performance using a standardised, nationally-administered academic assessment. METHODS: A total of 285 Australian children aged 9-11 years from randomly selected schools undertook 7-day 24h accelerometry to objectively determine their MVPA and sedentary behaviour. In the same year, they completed nationally-administered standardised academic testing (National Assessment Program-Literacy and Numeracy; NAPLAN). BMI was measured, and socio-demographic variables were collected in a parent-reported survey. Relationships between MVPA, sedentary behaviour and academic performance across five domains were examined using Generalised Linear Mixed Models, adjusted for a wide variety of socio-demographic variables. RESULTS: Higher academic performance was strongly and consistently related to higher sedentary time, with significant relationships seen across all five academic domains (range F=4.13, p=0.04 through to F=18.65, p=<0.01). In contrast, higher academic performance was only related to higher MVPA in two academic domains (writing F=5.28, p=0.02, and numeracy F=6.28, p=0.01) and was not related to language, reading and spelling performance. CONCLUSIONS: Findings highlight that sedentary behaviour can have positive relationships with non-physical outcomes. Positive relationships between MVPA and literacy and numeracy, as well as the well documented benefits for MVPA on physical and social health, suggest that it holds an important place in children's lives, both in and outside of school.