Which Components of a Smartphone Walking App Help Users to Reach Personalized Step Goals? Results From an Optimization Trial

Abstract Background The Assistant to Lift your Level of activitY (Ally) app is a smartphone application that combines financial incentives with chatbot-guided interventions to encourage users to reach personalized daily step goals. Purpose To evaluate the effects of incentives, weekly planning, and daily self-monitoring prompts that were used as intervention components as part of the Ally app. Methods We conducted an 8 week optimization trial with n = 274 insurees of a health insurance company in Switzerland. At baseline, participants were randomized to different incentive conditions (cash incentives vs. charity incentives vs. no incentives). Over the course of the study, participants were randomized weekly to different planning conditions (action planning vs. coping planning vs. no planning) and daily to receiving or not receiving a self-monitoring prompt. Primary outcome was the achievement of personalized daily step goals. Results Study participants were more active and healthier than the general Swiss population. Daily cash incentives increased step-goal achievement by 8.1%, 95% confidence interval (CI): [2.1, 14.1] and, only in the no-incentive control group, action planning increased step-goal achievement by 5.8%, 95% CI: [1.2, 10.4]. Charity incentives, self-monitoring prompts, and coping planning did not affect physical activity. Engagement with planning interventions and self-monitoring prompts was low and 30% of participants stopped using the app over the course of the study. Conclusions Daily cash incentives increased physical activity in the short term. Planning interventions and self-monitoring prompts require revision before they can be included in future versions of the app. Selection effects and engagement can be important challenges for physical-activity apps. Clinical Trial Information This study was registered on ClinicalTrials.gov, NCT03384550.

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Which behaviour change techniques are effective to promote physical activity and reduce sedentary behaviour in adults: a factorial randomized trial of an e- and m-health intervention

10.21203/rs.3.rs-24803/v1 ◽

2020 ◽

Author(s):

Helene Schroé ◽

Delfien Van Dyck ◽

Annick De Paepe ◽

Louise Poppe ◽

Wen Wei Loh ◽

...

Keyword(s):

Physical Activity ◽

Sedentary Behaviour ◽

Behaviour Change ◽

Action Planning ◽

Health Intervention ◽

Health Interventions ◽

Behaviour Change Techniques ◽

Self Monitoring ◽

Coping Planning ◽

The Impact

Abstract BackgroundE- and m-health interventions are promising to change health behaviour. Many of these interventions use a large variety of behaviour change techniques (BCTs), but it’s not known which BCTs or which combination of BCTs contribute to their efficacy. Therefore, this study investigated the efficacy of three BCTs (i.e. action planning, coping planning and self-monitoring) and their combinations on physical activity (PA) and sedentary behaviour (SB).MethodsIn a 2(action planning: present vs absent) x2(coping planning: present vs absent) x2(self-monitoring: present vs absent) factorial trial, 473 adults from the general population used the self-regulation based e- and m-health intervention ‘MyPlan2.0’ for five weeks. All combinations of BCTs were considered, resulting in eight groups. Participants selected their preferred target behaviour, either PA (n = 335,age = 35.8,28.1% men) or SB (n = 138,age = 37.8,37.7% men), and were then randomly allocated to the experimental groups. Levels of PA (MVPA in minutes/week) or SB (total sedentary time in hours/day) were assessed at baseline and post-intervention using self-reported questionnaires. Linear mixed-effect models were fitted to assess the impact of the different combinations of the BCTs on PA and SB.ResultsFirst, overall efficacy of each BCT was examined. The delivery of self-monitoring increased PA (t = 2.735,p = 0.007) and reduced SB (t=-2.573,p = 0.012) compared with no delivery of self-monitoring. Also, the delivery of coping planning increased PA (t = 2.302,p = 0.022) compared with no delivery of coping planning. Second, we investigated to what extent adding BCTs increased efficacy. Using the combination of the three BCTs was most effective to increase PA (x2 = 8,849,p = 0.003) whereas the combination of action planning and self-monitoring was most effective to decrease SB (x2 = 3.918,p = 0.048). To increase PA, action planning was always more effective in combination with coping planning (x2 = 5.590,p = 0.014;x2 = 17.722,p < 0.001;x2 = 4.552,p = 0.033) compared with using action planning without coping planning. Of note, the use of action planning alone reduced PA compared with using coping planning alone (x2 = 4.389,p = 0.031) and self-monitoring alone (x2 = 8.858,p = 003), respectively.ConclusionsThis study provides indications that different (combinations of) BCTs may be effective to promote PA and reduce SB. More experimental research to investigate the effectiveness of BCTs is needed, which can contribute to improved design and more effective e- and m-health interventions in the future.Trial registrationThis study was preregistered as a clinical trial (ID number: NCT03274271). Release date: 20 October 2017, http://clinicaltrials.gov/ct2/show/NCT03274271

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Which behaviour change techniques are effective to promote physical activity and reduce sedentary behaviour in adults: a factorial randomized trial of an e- and m-health intervention

10.21203/rs.3.rs-24803/v2 ◽

2020 ◽

Author(s):

Helene Schroé ◽

Delfien Van Dyck ◽

Annick De Paepe ◽

Louise Poppe ◽

Wen Wei Loh ◽

...

Keyword(s):

Physical Activity ◽

Sedentary Behaviour ◽

Behaviour Change ◽

Action Planning ◽

Health Intervention ◽

Health Interventions ◽

Behaviour Change Techniques ◽

Self Monitoring ◽

Coping Planning ◽

The Impact

Abstract Background E- and m-health interventions are promising to change health behaviour. Many of these interventions use a large variety of behaviour change techniques (BCTs), but it’s not known which BCTs or which combination of BCTs contribute to their efficacy. Therefore, this experimental study investigated the efficacy of three BCTs (i.e. action planning, coping planning and self-monitoring) and their combinations on physical activity (PA) and sedentary behaviour (SB) against a background set of other BCTs.Methods In a 2 (action planning: present vs absent) x2 (coping planning: present vs absent) x2 (self-monitoring: present vs absent) factorial trial, 473 adults from the general population used the self-regulation based e- and m-health intervention ‘MyPlan2.0’ for five weeks. All combinations of BCTs were considered, resulting in eight groups. Participants selected their preferred target behaviour, either PA (n=335,age=35.8,28.1% men) or SB (n=138,age=37.8,37.7% men), and were then randomly allocated to the experimental groups. Levels of PA (MVPA in minutes/week) or SB (total sedentary time in hours/day) were assessed at baseline and post-intervention using self-reported questionnaires. Linear mixed-effect models were fitted to assess the impact of the different combinations of the BCTs on PA and SB. Results First, overall efficacy of each BCT was examined. The delivery of self-monitoring increased PA (t=2.735,p=0.007) and reduced SB (t=-2.573,p=0.012) compared with no delivery of self-monitoring. Also, the delivery of coping planning increased PA (t=2.302,p=0.022) compared with no delivery of coping planning. Second, we investigated to what extent adding BCTs increased efficacy. Using the combination of the three BCTs was most effective to increase PA (x2=8,849,p=0.003) whereas the combination of action planning and self-monitoring was most effective to decrease SB (x2=3.918,p=0.048). To increase PA, action planning was always more effective in combination with coping planning (x2=5.590,p=0.014;x2=17.722,p<0.001;x2=4.552,p=0.033) compared with using action planning without coping planning. Of note, the use of action planning alone reduced PA compared with using coping planning alone (x2=4.389,p=0.031) and self-monitoring alone (x2=8.858,p=003), respectively.Conclusions This study provides indications that different (combinations of) BCTs may be effective to promote PA and reduce SB. More experimental research to investigate the effectiveness of BCTs is needed, which can contribute to improved design and more effective e- and m-health interventions in the future.Trial registration This study was preregistered as a clinical trial (ID number: NCT03274271). Release date: 20 October 2017, http://clinicaltrials.gov/ct2/show/NCT03274271

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Which behaviour change techniques are effective to promote physical activity and reduce sedentary behaviour in adults: a factorial randomized trial of an e- and m-health intervention

International Journal of Behavioral Nutrition and Physical Activity ◽

10.1186/s12966-020-01001-x ◽

2020 ◽

Vol 17 (1) ◽

Author(s):

Helene Schroé ◽

Delfien Van Dyck ◽

Annick De Paepe ◽

Louise Poppe ◽

Wen Wei Loh ◽

...

Keyword(s):

Physical Activity ◽

Sedentary Behaviour ◽

Behaviour Change ◽

Action Planning ◽

Health Intervention ◽

Health Interventions ◽

Behaviour Change Techniques ◽

Self Monitoring ◽

Coping Planning ◽

The Impact

Abstract Background E- and m-health interventions are promising to change health behaviour. Many of these interventions use a large variety of behaviour change techniques (BCTs), but it’s not known which BCTs or which combination of BCTs contribute to their efficacy. Therefore, this experimental study investigated the efficacy of three BCTs (i.e. action planning, coping planning and self-monitoring) and their combinations on physical activity (PA) and sedentary behaviour (SB) against a background set of other BCTs. Methods In a 2 (action planning: present vs absent) × 2 (coping planning: present vs absent) × 2 (self-monitoring: present vs absent) factorial trial, 473 adults from the general population used the self-regulation based e- and m-health intervention ‘MyPlan2.0’ for five weeks. All combinations of BCTs were considered, resulting in eight groups. Participants selected their preferred target behaviour, either PA (n = 335, age = 35.8, 28.1% men) or SB (n = 138, age = 37.8, 37.7% men), and were then randomly allocated to the experimental groups. Levels of PA (MVPA in minutes/week) or SB (total sedentary time in hours/day) were assessed at baseline and post-intervention using self-reported questionnaires. Linear mixed-effect models were fitted to assess the impact of the different combinations of the BCTs on PA and SB. Results First, overall efficacy of each BCT was examined. The delivery of self-monitoring increased PA (t = 2.735, p = 0.007) and reduced SB (t = − 2.573, p = 0.012) compared with no delivery of self-monitoring. Also, the delivery of coping planning increased PA (t = 2.302, p = 0.022) compared with no delivery of coping planning. Second, we investigated to what extent adding BCTs increased efficacy. Using the combination of the three BCTs was most effective to increase PA (x2 = 8849, p = 0.003) whereas the combination of action planning and self-monitoring was most effective to decrease SB (x2 = 3.918, p = 0.048). To increase PA, action planning was always more effective in combination with coping planning (x2 = 5.590, p = 0.014; x2 = 17.722, p < 0.001; x2 = 4.552, p = 0.033) compared with using action planning without coping planning. Of note, the use of action planning alone reduced PA compared with using coping planning alone (x2 = 4.389, p = 0.031) and self-monitoring alone (x2 = 8.858, p = 003), respectively. Conclusions This study provides indications that different (combinations of) BCTs may be effective to promote PA and reduce SB. More experimental research to investigate the effectiveness of BCTs is needed, which can contribute to improved design and more effective e- and m-health interventions in the future. Trial registration This study was preregistered as a clinical trial (ID number: NCT03274271). Release date: 20 October 2017.

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How COVID-19 lockdown and reopening affected daily steps: evidence based on 164,630 person-days of prospectively collected data from Shanghai, China

International Journal of Behavioral Nutrition and Physical Activity ◽

10.1186/s12966-021-01106-x ◽

2021 ◽

Vol 18 (1) ◽

Author(s):

Ding Ding ◽

Minna Cheng ◽

Borja del Pozo Cruz ◽

Tao Lin ◽

Shuangyuan Sun ◽

...

Keyword(s):

Physical Activity ◽

At Risk ◽

Body Composition ◽

Mixed Model ◽

Linear Mixed Model ◽

University Education ◽

Control Group ◽

Daily Step ◽

Step Counts ◽

Reduced Physical Activity

Abstract Background COVID-19 lockdowns may lead to physical inactivity, a major risk factor for non-communicable diseases. This study aims to determine: 1) the trajectory in daily step counts before, during and after the lockdown in China, and 2) the characteristics associated with the trajectories. Methods From December 2019 to July 2020, smartphone-based step counts were continuously collected in 815 Chinese adults residing in Shanghai over 202 days across three phases: before, during, and after the lockdown. Participant characteristics were reported, and height, weight and body composition measured before the lockdown. A ‘sharp’ regression discontinuity design with cluster robust standard errors was used to test the effect of the lockdown and reopening on daily steps and a linear mixed model was used to examine the characteristics associated with trajectories during the observed period. Results Based on 164,630 person-days of data, we found a sharp decline in daily step counts upon the lockdown (24/01/2020) by an average of 3796 (SE = 88) steps, followed by a significant trend of increase by 34 steps/day (SE = 2.5; p < .001) until the end of the lockdown (22/03/2020). This increasing trend continued into the reopening phase at a slower rate of 5 steps per day (SE = 2.3; p = 0.029). Those who were older, married, university educated, insufficiently active, had an ‘at risk’ body composition, and those in the control group, were slower at recovering step counts during the lockdown, and those who were older, married, without university education and with an ‘at risk’ body composition recovered step counts at a slower pace after the reopening. Conclusions Despite later increases in step counts, COVID-19 lockdown led to a sustained period of reduced physical activity, which may have adverse health implications. Governments and health professionals around the world should continue to encourage and facilitate physical activity during the pandemic.

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Increasing physical activity in older adults: Walking by prescription in primary care

Psychology Community & Health ◽

10.5964/pch.v6i1.217 ◽

2017 ◽

Vol 6 (1) ◽

pp. 128-140

Author(s):

Vera Paisana Morais ◽

Jorge Encantado ◽

Maria Isabel Santos ◽

Pedro Almeida ◽

Isabel Pereira Leal ◽

...

Keyword(s):

Physical Activity ◽

Older Adults ◽

Longitudinal Design ◽

Action Planning ◽

Activity Levels ◽

Coping Planning ◽

Recent Developments ◽

The Moment ◽

And Coping ◽

Goal Intention

Aim The present study (PTDC/SAU-SAP/110799/2009) funded by the Portuguese Government (Fundação para a Ciência e Tecnologia – FCT) aimed to test the effectiveness of a behaviour based intervention combined with a cognitive based one, designed to increase physical activity levels in older adults at Primary Health Care Centres. Method A total of 108 participants aged over 65 years participated in the study. Participants were referred by their General Practitioner (GP) and randomized by gender and marital status at the moment they started the program (single vs. couple), and allocated into one of three conditions: goal intention, action planning, action planning and coping planning. All participants received a pedometer and a logbook and were asked to register their daily number of steps for a period of 24 weeks. Study follows a longitudinal design with five assessments over a 6-month after baseline. Results The test between subjects’ effects revealed an interaction between condition and participating in the study as single vs. couple. Older adults participating as singles walked more steps on average in the condition goal intention plus action planning and coping planning, whereas participants that entered in the study with their spouse, goal intention without any other planning intervention was the most effective intervention. Conclusion The 24-week physical activity program based on the recent developments of behavioural-cognitive framework, has proven useful increasing older adults daily walking behaviour.

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Effects of a three-armed randomised controlled trial using self-monitoring of daily steps with and without counselling in prediabetes and type 2 diabetes—the Sophia Step Study

International Journal of Behavioral Nutrition and Physical Activity ◽

10.1186/s12966-021-01193-w ◽

2021 ◽

Vol 18 (1) ◽

Author(s):

Jenny Rossen ◽

Kristina Larsson ◽

Maria Hagströmer ◽

Agneta Yngve ◽

Kerstin Brismar ◽

...

Keyword(s):

Physical Activity ◽

Type 2 Diabetes ◽

Primary Outcome ◽

Controlled Trial ◽

Single Component ◽

Control Group ◽

Self Monitoring ◽

Randomised Controlled ◽

Step Study

Abstract Background This aimed to evaluate the effects of self-monitoring of daily steps with or without counselling support on HbA1c, other cardiometabolic risk factors and objectively measured physical activity (PA) during a 2-year intervention in a population with prediabetes or type 2 diabetes. Methods The Sophia Step Study was a three-armed parallel randomised controlled trial. Participants with prediabetes or type 2 diabetes were recruited in a primary care setting. Allocation (1:1:1) was made to a multi-component intervention (self-monitoring of steps with counselling support), a single-component intervention (self-monitoring of steps without counselling support) or standard care. Data were collected for primary outcome HbA1c at baseline and month 6, 12, 18 and 24. Physical activity was assessed as an intermediate outcome by accelerometer (ActiGraph GT1M) for 1 week at baseline and the 6-, 12-, 18- and 24-month follow-up visits. The intervention effects were evaluated by a robust linear mixed model. Results In total, 188 subjects (64, 59, 65 in each group) were included. The mean (SD) age was 64 (7.7) years, BMI was 30.0 (4.4) kg/m2 and HbA1c was 50 (11) mmol/mol, 21% had prediabetes and 40% were female. The dropout rate was 11% at 24 months. Effect size (CI) for the primary outcome (HbA1c) ranged from -1.3 (-4.8 to 2.2) to 1.1 (-2.4 to 4.6) mmol/mol for the multi-component vs control group and from 0.3 (-3.3 to 3.9) to 3.1 (-0.5 to 6.7) mmol/mol for the single-component vs control group. Effect size (CI) for moderate-to-vigorous physical activity ranged from 8.0 (0.4 to 15.7) to 11.1 (3.3 to 19.0) min/day for the multi-component vs control group and from 7.6 (-0.4 to 15.6) to 9.4 (1.4 to 17.4) min/day for the single-component group vs control group. Conclusion This 2-year intervention, including self-monitoring of steps with or without counselling, prevented a decrease in PA but did not provide evidence for improved metabolic control and cardiometabolic risk factors in a population with prediabetes or type 2 diabetes. Trial registration ClinicalTrials.gov, NCT02374788. Registered 2 March 2015—Retrospectively registered.

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Physical activity in type 1 diabetic young and early adults treated with insulin pump therapy. A preliminary report.

Progress in Health Sciences ◽

10.5604/01.3001.0013.3689 ◽

2019 ◽

Vol 1 ◽

pp. 13-21

Author(s):

A. Roszkowski ◽

K. Kulesza ◽

M. Cybulski ◽

A.M. Witkowska

Keyword(s):

Physical Activity ◽

Type 1 Diabetes ◽

Insulin Pump ◽

Vigorous Physical Activity ◽

Insulin Pump Therapy ◽

Control Group ◽

Pump Therapy ◽

Physically Active ◽

Self Monitoring

Purpose: To determine the level of physical activity in young and early adults with type 1 diabetes in comparison with their healthy counterparts and to determine whether the use of insulin pump facilitates physical activity. Materials and methods: This study included 40 type 1 diabetes (T1D) subjects of both sexes treated with a personal insulin pump therapy, and 30 healthy controls. The diagnostic survey included questions about nutrition, knowledge about the disease and whether the patient can control diabetes through physical activity, diet and self-monitoring. The International Physical Activity Questionnaire – long form (IPAQ-L), was used to assess the level of physical activity of both diabetic and control individuals. Results: 87.5% T1D subjects believe that using an insulin pump facilitates their physical activity. The level of physical activity associated with cycling (p=0.038) and vigorous physical activity (p=0.008) was higher in T1D than in the control group. Statistically significant differences (p=0.043) were found for total physical activity. The total mean activity was higher in participants with T1D (8147.70 MET-min/week) compared to the control group (5857.55 MET-min/week). Conclusions: Young and early adults with type 1 diabetes may be more physically active than their healthy counterparts, mainly in their leisure time. The use of a personal insulin pump facilitates physical activity, but most diabetics experience episodes of hypoglycemia after physical activity.

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A nurse-led intervention to promote physical activity in sedentary older adults with cardiovascular risk factors: a randomized clinical trial (STEP-IT-UP study)

European Journal of Cardiovascular Nursing ◽

10.1177/1474515120920450 ◽

2020 ◽

Vol 19 (7) ◽

pp. 638-645 ◽

Cited By ~ 1

Author(s):

Magdalena Chudowolska-Kiełkowska ◽

Łukasz A Małek

Keyword(s):

Physical Activity ◽

Risk Factors ◽

Older Adults ◽

Cardiovascular Risk ◽

Cardiovascular Risk Factors ◽

Control Group ◽

Study Group ◽

Daily Step ◽

Phone Calls ◽

Daily Step Count

Background Regular physical activity should constitute the essence of treatment in patients with cardiovascular risk factors. We sought to determine the benefits of nurse-led intervention to promote physical activity in sedentary older adults in a primary care setting. Methods A group of 199 sedentary older adults (mean age 62.7±6.9, 34.2% male) with at least one more cardiovascular risk factor were randomized 1:1 to receive a nurse-led tutorial on lifestyle modification, including pedometer hand-out – with a daily goal of at least 7000 steps – and supporting phone calls (study group), or without a goal or calls (control group). Body weight (BW), resting heart rate, systolic and diastolic blood pressure (SBP/DBP), total cholesterol (TC) and glucose were assessed at baseline and after 3 months. Results Subjects in the study group ( n = 86) achieved higher daily step count in comparison to the control group ( n = 78), 10,648±3098 vs. 3589±2000, p < 0.0001. The study group presented an improvement in all analysed parameters but glucose, including BW (−2.5±1.9 kg), SBP and DBP (−7.9±7.6 mmHg and −6.2±6.5 mmHg) and TC (−14.7±30.4 mg%), all p < 0.0001. In the control group, all parameters increased or remained unchanged. An inverse correlation between the daily step count and delta of the analysed parameters ( r = −0.26 to −0.72, p < 0.001) was found. Conclusion Nurse-led intervention with pedometer, goal setting and supporting phone calls is an effective way to promote physical activity in sedentary older adults and leads to improvement of cardiovascular risk factors within 3 months.

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Effectiveness of the VAMOS Strategy for Increasing Physical Activity and Healthy Dietary Habits: A Randomized Controlled Community Trial

Health Education & Behavior ◽

10.1177/1090198118820095 ◽

2019 ◽

Vol 46 (3) ◽

pp. 406-416 ◽

Cited By ~ 3

Author(s):

Simone Teresinha Meurer ◽

Aline Cristine Souza Lopes ◽

Fabio Araujo Almeida ◽

Raquel de Deus Mendonça ◽

Tânia Rosane Bertoldo Benedetti

Keyword(s):

Physical Activity ◽

Cognitive Theory ◽

Dietary Habits ◽

Vegetable Intake ◽

Intervention Group ◽

Control Group ◽

Self Monitoring ◽

Intention To Treat ◽

Randomized Controlled ◽

Community Trial

This study aimed to evaluate the effectiveness of the VAMOS strategy (Health-Improving Active Life) in improving physical activity (PA), dietary habits, and anthropometric variables of primary health care (PHC) users in Brazil. A randomized controlled community trial was conducted at two units of the Health Academy Program (HAP; a service provided by PHC), which were randomly assigned either to control group (CG) or intervention group (IG). Participants in both groups (CG = 156 and IG = 135) took part in physical activity classes provided by HAP facilities with those in IG also participating in the VAMOS strategy for 12 weeks. This strategy is based on social cognitive theory. The main behavioral constructs addressed were self-efficacy, goal setting, self-monitoring, identification of social support and barriers, and solutions for the identified barriers. Physical activity was measured with accelerometers, and nutritional status was assessed using dietary habits questionnaires and anthropometric measurements. Intention-to-treat analysis revealed that participants in IG increased the daily time of moderate-vigorous PA and the frequency of raw vegetable intake, while the intake of ultra-processed foods was reduced. Weight loss among participants who were classified as overweight/obese at baseline was observed in the intervention group compared to control. These results suggest that the VAMOS strategy was effective in increasing PA, healthy dietary habits, and decreasing weight among PHC users. Therefore, VAMOS could be used as a strategy to strengthen individuals’ autonomy regarding healthy choices and improve their overall health.

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Physical Activity of Young Children in Hong Kong Preschools

Asian Journal of Physical Education & Recreation ◽

10.24112/ajper.191836 ◽

2013 ◽

Vol 19 (1) ◽

pp. 70-75

Author(s):

Bik C. CHOW ◽

Lobo LOUIE ◽

Peggy Pui yee CHEUNG

Keyword(s):

Physical Activity ◽

Hong Kong ◽

Preschool Children ◽

Physical Environment ◽

Research Evidence ◽

Outdoor Play ◽

Daily Step ◽

Physically Active ◽

Step Counts ◽

Study Participants

LANGUAGE NOTE | Document text in English; abstract also in Chinese. Are preschool children physically active? A bulk of research evidence indicates that most preschool children engage mainly in sedentary behavior and have little physical activity (PA) time. Recent reviews show that physical environment such as outdoor play, equipment, and toys as well as the type of preschool can affect children’s PA. In Hong Kong, most children ages 3 to 6 years attend preschools of half-day or whole-day sessions. The purpose of this paper was to present summarized results showing the amount of daily step counts taken by a sample of 240 preschool children (137 boys, 103 girls) in Hong Kong. The study participants came from five preschools. The data included four consecutive days of two weekdays and two weekend days. Findings showed that boys had significantly higher mean daily step counts (15,221 steps) than girls (12,208 steps) and children were significant more active during weekends compared with weekdays. 近期愈來愈多文獻指出，幼兒整體的體能活動，逐漸下降，不利健康成長。本文以步行計儀器量度香港幼兒的體能活動情況，資料顯示：以一連四天計算，男童和女童的整天活動量分別為15,221步及12,208步，而且周末的活動量明顯較平日為多。

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