Obesity, Physical Activity, Diet

151 works in the bibliography carry this topic. Each used an Axivity accelerometer to collect data, or evaluated one as an instrument.

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2026

  1. An individualised Lifestyle Intervention with Physical Activity and Diet in individuals with overweight and obesity (LI-PAD)—study protocol of a 6-month randomised controlled study {1a} (opens in new tab)
  2. Can an active outdoor living initiative in kindergartens in two disadvantaged neighbourhoods increase physical activity among children? Findings from a within-subject design of the Happy Healthy Active Children initiative (opens in new tab)
  3. Children's COOPeration Denmark (Child-COOP): A 3-year systems trial targeting physical activity behaviour in children – design and baseline characteristics (opens in new tab)
  4. Criterion validity assessment of the 24-hour movement behaviors questionnaire (24HMBQ) for Chinese college students: validation study (opens in new tab)
  5. Designing a context-specific intervention in practice: learning from a school-based physical activity intervention (opens in new tab)
  6. Effectiveness of a female community health volunteer-led physical activity education intervention on accelerometer-derived outcomes in semi-urban Nepal: an open-label, cluster randomised controlled trial (opens in new tab)
  7. Endurance exercise intervention reduces vegetable intake which compromises the achievement of glycemic benefit: a randomized controlled, three-period crossover trial (opens in new tab)
  8. Intervention to optimise body mass index in adolescents and address the triple burden of malnutrition—the Ntshembo (Hope) trial in rural and urban South Africa study: a study protocol for a randomised controlled trial (opens in new tab)
  9. School day physical activity profiles and transitions across the school year: a latent analysis in 8-9 year-old children (opens in new tab)
  10. Sedentary Time, Sleep, and Physical Activity: A Structural Equation Model of Health-Related Quality of Life in Saudi Children and Young People (opens in new tab)

2025

  1. AFTERSCHOOL RX: USING A COMMUNITY-BASED PRESCRIPTION TO IMPROVE MOVEMENT BEHAVIORS AMONG CHILDREN WITH ELEVATED CARDIOMETABOLIC RISK (opens in new tab)
  2. Assessing 24-h movement behaviors in early childhood (0–4 years): Reliability of the My Little Moves app and comparison with accelerometry (opens in new tab)
  3. Associations of Device-Measured Sleep Duration, Regularity, and Efficiency with Cardiometabolic Health in Adults: Findings from the ProPASS Consortium (opens in new tab)
  4. Average acceleration and intensity gradient of 9–11-year-old rural and urban Kenyan school-going children and associations with cardiorespiratory fitness and BMI: The Kenya-LINX project (opens in new tab)
  5. Community-based promotion of physical activity in Nepal: study protocol for a cluster-randomized controlled trial (opens in new tab)
  6. Comparative dynamicsof physical activity in children aged11–13 (opens in new tab)
  7. Contribution of walking, running and cycling to moderate-to-vigorous and total physical activity in adolescents and adults across and within seasons: cross-sectional data from the Norwegian HUNT Study (opens in new tab)
  8. Cross-sectional and prospective associations of screen media use with non-sedentary time and body positions in young children (opens in new tab)
  9. Dose-response relationship between accelerometer-measured physical activity and depression: evidence from the UK Biobank (opens in new tab)
  10. Feasibility and Physical Health Outcomes of a 1-Year Sport-Based Physical Activity Intervention in Rural Middle School Children (opens in new tab)
  11. Genome-wide association analysis of composite sleep health scores in 413,904 individuals (opens in new tab)
  12. Health risks and genetic architecture of objectively measured multidimensional sleep health (opens in new tab)
  13. Joint associations of device-measured physical activity and sleep duration with incident major adverse cardiovascular events: prospective analysis of the UK Biobank (opens in new tab)
  14. Minimum concurrent sleep, physical activity, and nutrition variations associated with lifeSPAN and healthSPAN improvements: a population cohort study (opens in new tab)
  15. Physical activity and sedentary behaviour amongst children with obesity - exploring cross-sectional associations between child and parent (opens in new tab)
  16. Physical Activity Reduces the Incidence of Sarcopenia in Middle-Aged Adults (opens in new tab)
  17. Promoting active behaviours in schoolchildren using the socio-ecological model in the physical education class: study protocol of the ACTIBESE project (opens in new tab)
  18. Seasonal changes in the volume and intensity of children’s school year physical activity (opens in new tab)
  19. Sedentary behaviors, physical activity, and risk of allergic rhinitis and asthma: evidence from cohort and Mendelian randomization studies (opens in new tab)
  20. Snacktivity™ to Promote Physical Activity in Primary Care, Community Health and Public Health Settings: A Feasibility Randomised Controlled Trial (opens in new tab)
  21. Study protocol for measuring energy needs and nutritional status of adolescent girls in Abia state, Nigeria: The nutrition and adolescence in rural Nigeria (NARN’ia) Study (opens in new tab)
  22. The 24-hour movement behaviour compositions of children with and without impaired motor coordination: The Moves-UP project (opens in new tab)
  23. The Association Between Parent’s Mobile Device Use and Physical Activity

  24. The Feasibility of Smartwatch Micro Ecological Momentary Assessment for Tracking Eating Patterns of Malaysian Children and Adolescents in the SEACO Child Health Update 2020: a Cross-Sectional Study (opens in new tab)
  25. The goldilocks days represent optimal time-use to prevent obesity, low physical performance, risk and fear of falling in older adults (opens in new tab)
  26. The Intensity Inequality Index for Physical Activity: A New Metric for Integrative Analysis of Movement (opens in new tab)
  27. Trajectories of children’s physical activity volume and intensity across the school year: the Ready, Set, Move project (opens in new tab)
  28. Understanding the role of integrated grip strength, physical activity, diet, and adiposity-related body composition in the development of type 2 diabetes: insights from the UK Biobank cohort (opens in new tab)

2024

  1. 24-hour movement behaviours in the early years, potential behavioural determinants and prospective associations with growth, motor and social–emotional development: the My Little Moves study protocol (opens in new tab)
  2. Accelerometer-measured 24-hour movement behaviours over 7 days in Malaysian children and adolescents: A cross-sectional study (opens in new tab)
  3. Association between “weekend warrior” physical activity and the incidence of neurodegenerative diseases (opens in new tab)
  4. Associations of habitual sedentary time with executive functioning and short-term memory in 7th and 8th grade adolescents (opens in new tab)
  5. Causal association of physical activity with lymphoma risk: a Mendelian randomization analysis (opens in new tab)
  6. Causal Associations with Arterial Stiffness and Sarcopenia: A Mendelian Randomization Analysis (opens in new tab)
  7. Causal inference between physical activity and chronic diseases: Insights from a two-sample Mendelian randomization study (opens in new tab)
  8. Comparing Cadence vs. Machine Learning‐Based Physical Activity Intensity Classifications: Variations in the Associations of Physical Activity with Mortality (opens in new tab)
  9. Device-measured stationary behaviour and cardiovascular and orthostatic circulatory disease incidence: a population cohort study of 83,013 adults (opens in new tab)
  10. Familial risk for depression is associated with reduced physical activity in young adults: evidence from a wrist-worn actigraphy study (opens in new tab)
  11. Genetic evidence for the causal effects of C–reactive protein on self-reported habitual sleep duration (opens in new tab)
  12. Individual and day‐to‐day differences in domain‐specific physical activity of 10‐ to 11‐year‐old children in Denmark—Measured using GPS and accelerometry (opens in new tab)
  13. Inter-Brand, -Dynamic Range, and -Sampling Rate Comparability of Raw Accelerometer Data as Used in Physical Behavior Research (opens in new tab)
  14. Intervention Mapping for Refining a Sport-Based Public Health Intervention in Rural Schools (opens in new tab)
  15. Micropatterns of physical activity in relation to all-cause and cardiovascular disease mortality: the stealth lifestyle factor? (opens in new tab)
  16. Rationale and design of Healthy Kids Beyond the Bell: a 2x2 full factorial study evaluating the impact of summer and after-school programming on children’s body mass index and health behaviors (opens in new tab)
  17. Relationship of device measured physical activity type and posture with cardiometabolic health markers: pooled dose–response associations from the Prospective Physical Activity, Sitting and Sleep Consortium (opens in new tab)
  18. Research-Grade Accelerometers to Assess Intervention Effectiveness and Commercial Wearables as a Self-Monitoring Tool: Are the Two Aligned on Moderate to Vigorous Physical Activity? (opens in new tab)
  19. Sociodemographic factors, parental mental health and movement behaviours in the early years: the SUNRISE Finland study protocol (opens in new tab)
  20. The Day-Level Association Between Child Care Attendance and 24-Hour Movement Behaviors in Preschool-Aged Children (opens in new tab)
  21. The Feasibility and Potential Efficacy of a Physical Activity Programme in Early Childhood Centres in Aotearoa, New Zealand

  22. The Goldilocks Days: optimising the older adults' time-use to prevent obesity, low fitness, risk and fear of falling. (opens in new tab)
  23. The Role of Physical Literacy in the Association Between Weather and Physical Activity: A Longitudinal Multilevel Analysis With 951 Children (opens in new tab)

2023

  1. Association of accelerometer-measured physical activity intensity, sedentary time, and exercise time with incident Parkinson’s disease (opens in new tab)
  2. Associations of polygenic inheritance of physical activity with aerobic fitness, cardiometabolic risk factors and diseases: the HUNT study (opens in new tab)
  3. Associations of timing of physical activity with all-cause and cause-specific mortality in a prospective cohort study (opens in new tab)
  4. Can the bias of self-reported sitting time be corrected? A statistical model validation study based on data from 23 993 adults in the Norwegian HUNT study (opens in new tab)
  5. Device measured sedentary behaviour, sleep, light and moderate-vigorous physical activity and cardio-metabolic health: A compositional individual participant data analysis in the ProPASS consortium (opens in new tab)
  6. Device-measured physical activity and cardiometabolic health: the Prospective Physical Activity, Sitting, and Sleep (ProPASS) consortium (opens in new tab)
  7. Device-measured physical activity and type 2 diabetes mellitus risk (opens in new tab)
  8. Do socioeconomic inequities arise during school-based physical activity interventions? An exploratory case study of the GoActive trial (opens in new tab)
  9. Effect of nationwide school policy on device-measured physical activity in Danish children and adolescents: a natural experiment (opens in new tab)
  10. Effects of a family-based lifestyle intervention on co-physical activity and other health-related outcomes of fathers and their children: the ‘Run Daddy Run’ intervention (opens in new tab)
  11. Effects of the Timing of Intense Physical Activity on Hypertension Risk in a General Population: A UK-Biobank Study (opens in new tab)
  12. Generation Healthy Kids: Protocol for a cluster-randomized controlled trial of a multi-component and multi-setting intervention to promote healthy weight and wellbeing in 6–11-year-old children in Denmark (opens in new tab)
  13. Joint associations of device-measured physical activity and abdominal obesity with incident cardiovascular disease: a prospective cohort study (opens in new tab)
  14. Minimum changes in sleep, physical activity, and nutrition associated with clinically important reductions in all-cause mortality risk: a prospective cohort study (opens in new tab)
  15. Physical Activity Assessed by Wrist and Thigh Worn Accelerometry and Associations with Cardiometabolic Health (opens in new tab)
  16. Prevalence and socio-demographic distributions of meeting RMI Guidelines for Healthy Living among elementary school children in Majuro, Republic of Marshall Islands: a cross-sectional population-based survey (opens in new tab)
  17. Sedentary Behavior, Physical Activity Patterns, and Cardiometabolic Risk Factors in South African Office-Based Workers (opens in new tab)
  18. The Effect of an Electronic Passive Prompt Intervention on Prolonged Occupational Sitting and Light-Intensity Physical Activity in Desk-Based Adults Working from Home during COVID-19 in Ireland (opens in new tab)
  19. The Impact Of Structure On Physical Activity Of Preschool-aged Children (opens in new tab)
  20. Tortoise or Hare? The Associations between Physical Activity Volume and Intensity Distribution and the Risk of All-Cause Mortality: A Large Prospective Analysis of the UK Biobank (opens in new tab)
  21. Ukumela Impilo Trial: Preliminary Findings of Height-Adjustable sit to stand Workstations on Health Outcomes of South African Office Workers (opens in new tab)
  22. Validation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older Adults (opens in new tab)

2022

  1. Adaptation of a Danish online version of the Oxford Physical Activity Questionnaire (OPAQ) for secondary school students—a pilot study (opens in new tab)
  2. Association of Physical Activity Volume and Intensity with Incident Cardiovascular Disease: a UK Biobank Study (opens in new tab)
  3. Association of Sedentary and Physical Activity Behaviors with Body Composition: a Genome-Wide Association and Mendelian Randomization Study (opens in new tab)
  4. Development and performance of a sleep estimation algorithm using a single accelerometer placed on the thigh: an evaluation against polysomnography (opens in new tab)
  5. ESTABLISHING PHYSICAL ACTIVITY OF 3RD – 4TH – GRADERS WITH ACCELEROMETERS (opens in new tab)
  6. Implementation of physical activity on prescription for children with obesity in paediatric health care (IMPA): protocol for a feasibility and evaluation study using quantitative and qualitative methods (opens in new tab)
  7. Investigating Wrist-Based Acceleration Summary Measures across Different Sample Rates towards 24-Hour Physical Activity and Sleep Profile Assessment (opens in new tab)
  8. Measuring Microtemporal Processes Underlying Preschoolers’ Screen Use and Behavioral Health: Protocol for the Tots and Tech Study (opens in new tab)
  9. O1-3 Time spent cycling, running, walking, standing, sitting, and lying: a cross-sectional analysis of accelerometer-data from 930 Danes aged 15-94 in the Moving Denmark study (opens in new tab)
  10. Physical activity, sedentary behavior, and the risk of type 2 diabetes: A two-sample Mendelian Randomization analysis in the European population (opens in new tab)
  11. Prevalence and correlates of compliance with 24-h movement guidelines among children from urban and rural Kenya—The Kenya-LINX project (opens in new tab)
  12. Sociodemographic differences in 24-hour time-use behaviours in New Zealand children (opens in new tab)
  13. The contribution of Gaelic football participation to physical activity in Irish youth

  14. The GRANDPACT Project: The Development and Evaluation of an Intergenerational Program for Grandchildren and Their Grandparents to Stimulate Physical Activity and Cognitive Function Using Co-Creation (opens in new tab)
  15. The Physical Behaviour Intensity Spectrum and Body Mass Index in School-Aged Youth: A Compositional Analysis of Pooled Individual Participant Data (opens in new tab)

2021

  1. A prospective study of the relationships between movement and glycemic control during day and night in pregnancy (opens in new tab)
  2. A school-based, peer-led programme to increase physical activity among 13- to 14-year-old adolescents: the GoActive cluster RCT (opens in new tab)
  3. Adolescent Levers for a Diet and Physical Activity Intervention Across Socioecological Levels in Kenya, South Africa, Cameroon, and Jamaica: Mixed Methods Study Protocol (opens in new tab)
  4. Association of genetic liability for psychiatric disorders with accelerometer-assessed physical activity in the UK Biobank (opens in new tab)
  5. Bidirectional associations between sedentary time and sleep duration among 12- to 14-year-old adolescents (opens in new tab)
  6. Comparison of Outcomes Derived from the ActiGraph GT3X+ and the Axivity AX3 Accelerometer to Objectively Measure 24-Hour Movement Behaviors in Adults: A Cross-Sectional Study (opens in new tab)
  7. Does Childcare Work Promote Cardiorespiratory Fitness and Health? A Cross-Sectional Study of Danish Childcare Workers Based on Accelerometry and Heart Rate Measurements (opens in new tab)
  8. Feasibility of two screen media reduction interventions: Results from the SCREENS pilot trial (opens in new tab)
  9. Measurement of Physical Activity by Shoe-Based Accelerometers—Calibration and Free-Living Validation (opens in new tab)
  10. Objective Measurement of 24-Hour Movement Behaviors in Preschool Children Using Wrist-Worn and Thigh-Worn Accelerometers (opens in new tab)
  11. Physical Activity and Risks of Cardiovascular Diseases: A Mendelian Randomization Study (opens in new tab)
  12. Resemblance in Physical Activity in Families with Children in Time Segments during the Week: The Lolland–Falster Health Study (opens in new tab)
  13. Stronger Associations Between Sleep and Mental Health in Adults with Autism: A UK Biobank Study (opens in new tab)
  14. Study protocol for Healthy Conversations @ Playgroup: a multi-site cluster randomized controlled trial of an intervention to promote healthy lifestyle behaviours in young children attending community playgroups (opens in new tab)
  15. The Association between Education Outside the Classroom and Physical Activity: Differences Attributable to the Type of Space? (opens in new tab)
  16. The Associations Between Leisure-Time Physical Activity and Academic Performance: A Twin Study (opens in new tab)
  17. The effect of a one-year vigorous physical activity intervention on fitness, cognitive performance and mental health in young adolescents: the Fit to Study cluster randomised controlled trial (opens in new tab)
  18. The school policy, social, and physical environment and change in adolescent physical activity: An exploratory analysis using the LASSO (opens in new tab)
  19. Validity of the Sedentary Behavior Questionnaire in European Older Adults Using English, Spanish, German and Danish Versions (opens in new tab)

2020

  1. Can childcare work be designed to promote moderate and vigorous physical activity, cardiorespiratory fitness and health? Study protocol for the Goldilocks-childcare randomised controlled trial (opens in new tab)
  2. Concurrent Validity of ActiGraph GT3X+ and Axivity AX3 Accelerometers for Estimating Physical Activity and Sedentary Behavior (opens in new tab)
  3. Effectiveness and cost-effectiveness of the GoActive intervention to increase physical activity among UK adolescents: A cluster randomised controlled trial (opens in new tab)
  4. Effects of gender, activity type, class location and class composition on physical activity levels experienced during physical education classes in British secondary schools: a pilot cross-sectional study (opens in new tab)
  5. Long-Term Follow-Up of a Randomized Controlled Trial to Reduce Excessive Weight Gain in Infancy: Protocol for the Prevention of Overweight in Infancy (POI) Follow-Up Study at 11 Years (opens in new tab)
  6. Reallocating time from device-measured sleep, sedentary behaviour or light physical activity to moderate-to-vigorous physical activity is associated with lower cardiovascular disease risk (opens in new tab)
  7. Resemblance in accelerometer-assessed physical activity in families with children: the Lolland-Falster Health Study (opens in new tab)
  8. Simple Method for the Objective Activity Type Assessment with Preschoolers, Children and Adolescents (opens in new tab)

2019

  1. Activity Intensity, Volume, and Norms: Utility and Interpretation of Accelerometer Metrics (opens in new tab)
  2. Children's Cortisol and Cell-Free DNA Trajectories in Relation to Sedentary Behavior and Physical Activity in School: A Pilot Study (opens in new tab)
  3. COMPARATIVE STUDY OF MEASURING PHYSICAL ACTIVITY AMONG SPORT STUDENTS (opens in new tab)
  4. Effects of a programme of vigorous physical activity during secondary school physical education on academic performance, fitness, cognition, mental health and the brain of adolescents (Fit to Study): study protocol for a cluster-randomised trial (opens in new tab)
  5. Effects of Frequency Filtering on Intensity and Noise in Accelerometer-Based Physical Activity Measurements (opens in new tab)
  6. Estimating energy expenditure from wrist and thigh accelerometry in free-living adults: a doubly labelled water study (opens in new tab)
  7. Evaluating of the Axivity accelerometers algorithm in measurement of physical activity intensity in boys and girls (opens in new tab)
  8. GGIR: A Research Community–Driven Open Source R Package for Generating Physical Activity and Sleep Outcomes From Multi-Day Raw Accelerometer Data (opens in new tab)
  9. Integrating physical activity into the primary school curriculum: rationale and study protocol for the “Thinking while Moving in English” cluster randomized controlled trial (opens in new tab)
  10. Introducing physically active lessons in UK secondary schools: feasibility study and pilot cluster-randomised controlled trial (opens in new tab)
  11. Physical activity and risk of lung cancer: a two-sample Mendelian randomization study (opens in new tab)
  12. Reexamination of Accelerometer Calibration with Energy Expenditure as Criterion: VO2net Instead of MET for Age-Equivalent Physical Activity Intensity (opens in new tab)
  13. Specific physical activities, sedentary behaviours and sleep as long-term predictors of accelerometer-measured physical activity in 91,648 adults: a prospective cohort study (opens in new tab)

2018

  1. Accelerometer-derived physical activity in those with cardio-metabolic disease compared to healthy adults: a UK Biobank study of 52,556 participants (opens in new tab)
  2. Biological and clinical insights from genetics of insomnia symptoms (opens in new tab)
  3. Describing the diurnal relationships between objectively measured mother and infant physical activity (opens in new tab)
  4. Development of Two-Regression Models to Predict Energy Expenditure in Youth Using a GENEActiv and Axivity AX3 Activity Monitor

  5. Protocol for evaluating the impact of a national school policy on physical activity levels in Danish children and adolescents: the PHASAR study - a natural experiment (opens in new tab)
  6. Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants (opens in new tab)
  7. Wear-Time Compliance with a Dual-Accelerometer System for Capturing 24-h Behavioural Profiles in Children and Adults (opens in new tab)

2017

  1. Adiposity and grip strength as long-term predictors of objectively measured physical activity in 93 015 adults: the UK Biobank study (opens in new tab)
  2. Children’s physical activity during a segmented school week: results from a quasi-experimental education outside the classroom intervention (opens in new tab)
  3. Describing objectively measured physical activity levels, patterns, and correlates in a cross sectional sample of infants and toddlers from South Africa (opens in new tab)
  4. Fitness, Physical Activity, and Cardiovascular Disease: Longitudinal and Genetic Analyses in the UK Biobank Study (opens in new tab)
  5. Genome-wide association study of habitual physical activity in over 277,000 UK Biobank participants identifies multiple variants including <i>CADM2</i> and <i>APOE</i> (opens in new tab)
  6. Measuring Children's Physical Activity (opens in new tab)