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Objectively measured habitual physical activity and sedentary behaviour in obese and non-obese Malaysian children

Wafa SW, Hamzaid H, Talib RA, Reilly JJ

J Trop Pediatr, 2014 Apr;60(2):161-3.
PMID: 24213306 DOI: 10.1093/tropej/fmt093

The present study examined objectively measured physical activity in Malaysian children and compared the differences in physical levels between obese and healthy weight children. Eighty-six obese children were matched for age and sex with 86 healthy weight children with median age 9.5 years. Habitual physical activity and sedentary behaviour were measured over 5 days using Actigraph accelerometers. Time spent sedentary was significantly higher in the obese group (90% vs. 86% of daytime; p = 0.001). Moderate-to-vigorous-intensity physical activity was significantly higher in the healthy weight group (1.2 vs. 0.7% of daytime, p < 0.001). In both healthy weight and obese children, physical activity levels were exceptionally low, although moderate-to-vigorous-intensity physical activity was significantly lower in the obese group than the healthy weight group. Efforts to prevent and treat obesity in Malaysian children will need a substantial focus on the promotion of reductions in sedentary behaviour and increases in physical activity.

Matched MeSH terms: Accelerometry/statistics & numerical data
Fulltext Sleep timing is associated with diet and physical activity levels in 9-11-year-old children from Dunedin, New Zealand: the PEDALS study

Harrex HAL, Skeaff SA, Black KE, Davison BK, Haszard JJ, Meredith-Jones K, et al.

J Sleep Res, 2018 08;27(4):e12634.
PMID: 29160021 DOI: 10.1111/jsr.12634

It is well documented that short sleep duration is associated with excess body weight and poor food intake in children. It has been suggested that sleep timing behaviour may also be an important predictor of weight and other related behaviours, independent of sleep duration; however, there is a lack of research investigating these relationships. The present study investigated sleep timing in association with diet and physical activity levels in 439 children aged 9-11 years old from New Zealand. Sleep and physical activity data were collected using accelerometry, and food choice using a short food-frequency questionnaire. Participants were classified into one of four sleep timing behaviour categories using the median split for sleep-onset and -offset times. Differences between sleep timing groups for weekly consumption frequency of selected food groups, dietary pattern scores and minutes of moderate-to-vigorous physical activity were examined. Children in the late sleep/late wake category had a lower 'Fruit & Vegetables' pattern score [mean difference (95% CI): -0.3 (-0.5, -0.1)], a lower consumption frequency of fruit and vegetables [mean weekly difference (95% CI): -2.9 (-4.9, -0.9)] and a higher consumption frequency of sweetened beverages [mean weekly difference (95% CI): 1.8 (0.2, 3.3)] compared with those in the early sleep/early wake category. Additionally, children in the late sleep/late wake category accumulated fewer minutes of moderate-to-vigorous physical activity per day compared with those in the early sleep/early wake category [mean difference (95% CI): -9.4 (-15.3, -3.5)]. These findings indicate that sleep timing, even after controlling for sleep duration, was associated with both food consumption and physical activity.

Matched MeSH terms: Accelerometry/methods*
Fulltext Associations between self-reported and objectively measured physical activity and overweight/obesity among adults in Kota Bharu and Penang, Malaysia

Lee YY, Kamarudin KS, Wan Muda WAM

BMC Public Health, 2019 May 22;19(1):621.
PMID: 31118019 DOI: 10.1186/s12889-019-6971-2

BACKGROUND: For the past decades, Malaysia has seen an increased prevalence of overweight and obesity which leads to significant health threats. Physical activity is beneficial in maintaining healthy body weight. The objective of this study was to measure physical activity of adults in Malaysia using objective measurement (accelerometer) and self-reported methods, as well as to determine their associations with (body mass index (BMI) and waist circumference (WC) measurements.
METHODS: Four-hundred and ninety Malaysian adults (n = 490) aged 20 to 65 years old participated in this cross-sectional study. Their body weight, height, and WC measurements were measured according to standard procedures. Physical activity was assessed objectively with accelerometers for five to seven consecutive days. The International Physical Activity Questionnaire (IPAQ) was used to estimate the amount of time spent on various domains of physical activity. Mixed models were used to determine the associations between physical activity variables and both BMI and WC.
RESULTS: The mean value of objectively measured moderate-to-vigorous physical activity (MVPA) was 13.5 min per day, in which male participants recorded a significantly higher amount of time compared to females. On the other hand, the mean self-reported total physical activity was 380 min per week; male participants reported a significantly higher amount of time on physical activity in the occupation/work and leisure/recreation domains while female participants spent significantly more time in the domestic/household chores domain. We also observed that the mean values of objectively measured total MVPA, self-reported time spent on walking for leisure/recreation, and total time amount of time spent on MVPA for leisure/recreation were significantly higher among participants with BMI of less than 25 kg/m2. The final statistical model yielded a significant negative association between objectively measured total MVPA and BMI, but not with WC measurement. No significant association was reported between self-reported total physical activity with BMI and WC measurement.
CONCLUSIONS: Objectively measured MVPA was inversely associated with BMI, but not WC measurement. No significant association was observed between self-reported total physical activity and physical activity time measures across domains with both BMI and WC measurement.

Matched MeSH terms: Accelerometry/statistics & numerical data*
Fulltext Accelerometer-determined physical activity level among government employees in Penang, Malaysia

Hazizi AS, Aina MB, Mohd NM, Zaitun Y, Hamid JJ, Tabata I

Malays J Nutr, 2012 Apr;18(1):57-66.
PMID: 23713230 MyJurnal

A cross-sectional study was carried out to investigate accelerometer-determined physical activity level of 233 Malay government employees (104 men, 129 women) working in the Federal Government Building Penang, Malaysia.

Matched MeSH terms: Accelerometry*
Fulltext Accelerometer-based atrioventricular synchronous pacing with a ventricular leadless pacemaker: Results from the Micra atrioventricular feasibility studies

Chinitz L, Ritter P, Khelae SK, Iacopino S, Garweg C, Grazia-Bongiorni M, et al.

Heart Rhythm, 2018 09;15(9):1363-1371.
PMID: 29758405 DOI: 10.1016/j.hrthm.2018.05.004

BACKGROUND: Micra is a leadless pacemaker that is implanted in the right ventricle and provides rate response via a 3-axis accelerometer (ACC). Custom software was developed to detect atrial contraction using the ACC enabling atrioventricular (AV) synchronous pacing.
OBJECTIVE: The purpose of this study was to sense atrial contractions from the Micra ACC signal and provide AV synchronous pacing.
METHODS: The Micra Accelerometer Sensor Sub-Study (MASS) and MASS2 early feasibility studies showed intracardiac accelerations related to atrial contraction can be measured via ACC in the Micra leadless pacemaker. The Micra Atrial TRacking Using A Ventricular AccELerometer (MARVEL) study was a prospective multicenter study designed to characterize the closed-loop performance of an AV synchronous algorithm downloaded into previously implanted Micra devices. Atrioventricular synchrony (AVS) was measured during 30 minutes of rest and during VVI pacing. AVS was defined as a P wave visible on surface ECG followed by a ventricular event <300 ms.
RESULTS: A total of 64 patients completed the MARVEL study procedure at 12 centers in 9 countries. Patients were implanted with a Micra for a median of 6.0 months (range 0-41.4). High-degree AV block was present in 33 patients, whereas 31 had predominantly intrinsic conduction during the study. Average AVS during AV algorithm pacing was 87.0% (95% confidence interval 81.8%-90.9%), 80.0% in high-degree block patients and 94.4% in patients with intrinsic conduction. AVS was significantly greater (P

Matched MeSH terms: Accelerometry/instrumentation*
Fulltext Technologies for Assessment of Motor Disorders in Parkinson's Disease: A Review

Oung QW, Muthusamy H, Lee HL, Basah SN, Yaacob S, Sarillee M, et al.

Sensors (Basel), 2015 Aug 31;15(9):21710-45.
PMID: 26404288 DOI: 10.3390/s150921710

Parkinson's Disease (PD) is characterized as the commonest neurodegenerative illness that gradually degenerates the central nervous system. The goal of this review is to come out with a summary of the recent progress of numerous forms of sensors and systems that are related to diagnosis of PD in the past decades. The paper reviews the substantial researches on the application of technological tools (objective techniques) in the PD field applying different types of sensors proposed by previous researchers. In addition, this also includes the use of clinical tools (subjective techniques) for PD assessments, for instance, patient self-reports, patient diaries and the international gold standard reference scale, Unified Parkinson Disease Rating Scale (UPDRS). Comparative studies and critical descriptions of these approaches have been highlighted in this paper, giving an insight on the current state of the art. It is followed by explaining the merits of the multiple sensor fusion platform compared to single sensor platform for better monitoring progression of PD, and ends with thoughts about the future direction towards the need of multimodal sensor integration platform for the assessment of PD.

Matched MeSH terms: Accelerometry
Fulltext Atrioventricular Synchronous Pacing Using a Leadless Ventricular Pacemaker: Results From the MARVEL 2 Study

Steinwender C, Khelae SK, Garweg C, Chan JYS, Ritter P, Johansen JB, et al.

JACC Clin Electrophysiol, 2020 01;6(1):94-106.
PMID: 31709982 DOI: 10.1016/j.jacep.2019.10.017

OBJECTIVES: This study reports on the performance of a leadless ventricular pacemaker with automated, enhanced accelerometer-based algorithms that provide atrioventricular (AV) synchronous pacing.
BACKGROUND: Despite many advantages, leadless pacemakers are currently only capable of single-chamber ventricular pacing.
METHODS: The prospective MARVEL 2 (Micra Atrial tRacking using a Ventricular accELerometer 2) study assessed the performance of an automated, enhanced accelerometer-based algorithm downloaded to the Micra leadless pacemaker for up to 5 h in patients with AV block. The primary efficacy objective was to demonstrate the superiority of the algorithm to provide AV synchronous (VDD) pacing versus VVI-50 pacing in patients with sinus rhythm and complete AV block. The primary safety objective was to demonstrate that the algorithm did not result in pauses or heart rates of >100 beats/min.
RESULTS: Overall, 75 patients from 12 centers were enrolled; an accelerometer-based algorithm was downloaded to their leadless pacemakers. Among the 40 patients with sinus rhythm and complete AV block included in the primary efficacy objective analysis, the proportion of patients with ≥70% AV synchrony at rest was significantly greater with VDD pacing than with VVI pacing (95% vs. 0%; p

Matched MeSH terms: Accelerometry
Empirical Wavelet Transform Based Features for Classification of Parkinson's Disease Severity

Oung QW, Muthusamy H, Basah SN, Lee H, Vijean V

J Med Syst, 2017 Dec 29;42(2):29.
PMID: 29288342 DOI: 10.1007/s10916-017-0877-2

Parkinson's disease (PD) is a type of progressive neurodegenerative disorder that has affected a large part of the population till now. Several symptoms of PD include tremor, rigidity, slowness of movements and vocal impairments. In order to develop an effective diagnostic system, a number of algorithms were proposed mainly to distinguish healthy individuals from the ones with PD. However, most of the previous works were conducted based on a binary classification, with the early PD stage and the advanced ones being treated equally. Therefore, in this work, we propose a multiclass classification with three classes of PD severity level (mild, moderate, severe) and healthy control. The focus is to detect and classify PD using signals from wearable motion and audio sensors based on both empirical wavelet transform (EWT) and empirical wavelet packet transform (EWPT) respectively. The EWT/EWPT was applied to decompose both speech and motion data signals up to five levels. Next, several features are extracted after obtaining the instantaneous amplitudes and frequencies from the coefficients of the decomposed signals by applying the Hilbert transform. The performance of the algorithm was analysed using three classifiers - K-nearest neighbour (KNN), probabilistic neural network (PNN) and extreme learning machine (ELM). Experimental results demonstrated that our proposed approach had the ability to differentiate PD from non-PD subjects, including their severity level - with classification accuracies of more than 90% using EWT/EWPT-ELM based on signals from motion and audio sensors respectively. Additionally, classification accuracy of more than 95% was achieved when EWT/EWPT-ELM is applied to signals from integration of both signal's information.

Matched MeSH terms: Accelerometry
Fulltext Physical activity and risks of breast and colorectal cancer: a Mendelian randomisation analysis

Papadimitriou N, Dimou N, Tsilidis KK, Banbury B, Martin RM, Lewis SJ, et al.

Nat Commun, 2020 01 30;11(1):597.
PMID: 32001714 DOI: 10.1038/s41467-020-14389-8

Physical activity has been associated with lower risks of breast and colorectal cancer in epidemiological studies; however, it is unknown if these associations are causal or confounded. In two-sample Mendelian randomisation analyses, using summary genetic data from the UK Biobank and GWA consortia, we found that a one standard deviation increment in average acceleration was associated with lower risks of breast cancer (odds ratio [OR]: 0.51, 95% confidence interval [CI]: 0.27 to 0.98, P-value = 0.04) and colorectal cancer (OR: 0.66, 95% CI: 0.48 to 0.90, P-value = 0.01). We found similar magnitude inverse associations for estrogen positive (ER+ve) breast cancer and for colon cancer. Our results support a potentially causal relationship between higher physical activity levels and lower risks of breast cancer and colorectal cancer. Based on these data, the promotion of physical activity is probably an effective strategy in the primary prevention of these commonly diagnosed cancers.

Matched MeSH terms: Accelerometry
Urban Versus Rural Differences in Meeting 24-h Movement Behaviour Guidelines Among 3-4-Year-Olds: An Analysis of SUNRISE Pilot Study Data From 10 Low- and Middle-Income Countries

Nusurupia JJ, Germana LH, Wickramasinghe P, Tang HK, Munambah N, Hossain MS, et al.

Child Care Health Dev, 2024 Nov;50(6):e70008.
PMID: 39564734 DOI: 10.1111/cch.70008

BACKGROUND: Insufficient physical activity, excessive screen time and short sleep duration among young children are global public health concerns; however, data on prevalence of meeting World Health Organisation 24-h movement behaviour guidelines for 3-4-year-old children in low- and middle-income countries (LMICs) are limited, and it is unknown whether urbanisation is related to young children's movement behaviours. The present study examined differences in prevalence of meeting 24-h movement behaviour guidelines among 3-4-year-old children living in urban versus rural settings in LMICs.
METHODS: The SUNRISE Study recruited 429, 3-4-year-old child/parent dyads from 10 LMICs. Children wore activPAL accelerometers continuously for at least 48 h to assess their physical activity and sleep duration. Screen time and time spent restrained were assessed via parent questionnaire. Differences in prevalence of meeting guidelines between urban- and rural-dwelling children were examined using chi-square tests.
RESULTS: Physical activity guidelines were met by 17% of children (14% urban vs. 18% rural), sleep guidelines by 57% (61% urban vs. 54% rural), screen time guidelines by 50% (50% urban vs. 50% rural), restrained guidelines by 84% (81% urban vs. 86% rural) and all guidelines combined by 4% (4% urban vs.4% rural). We found no significant differences in meeting the guidelines between urban and rural areas.
CONCLUSIONS: Only a small proportion of children in both rural and urban settings met the WHO 24-h movement guidelines. Strategies to improve movement behaviours in LMICs should consider including both rural and urban settings.

Matched MeSH terms: Accelerometry
Associations between psychological factors and accelerometer-measured physical activity in urban Asian adults

Müller AM, Tan CS, Chu AHY, van Dam RM, Müller-Riemenschneider F

Int J Public Health, 2019 Jun;64(5):659-668.
PMID: 30739208 DOI: 10.1007/s00038-019-01203-6

OBJECTIVES: Examine the association between psychological variables and accelerometer-measured moderate-to-vigorous physical activity (MVPA) in urban Asians.
METHODS: A population-based cross-sectional study was conducted in Singapore. Participants wore an accelerometer for 7 days to measure physical activity (PA). Demographic, anthropometric and psychological data were also collected. Psychological variables included PA guideline knowledge, motivational profile for PA self-regulation (5 subscales), perceived barriers to PA (4 subscales) and perceived social support for PA. Regression models with adjustment for socio-demographic variables were fitted.
RESULTS: External regulation (b = - 13.03, 95% CI - 34.55; - 1.50) and perceived daily life barriers (b = - 12.63, 95% CI - 24.95; - 0.32) were significantly associated with fewer weekly MVPA minutes. A significant interaction between perceived social support and age (p = 0.046) was found. Social support was significantly negative associated with MVPA minutes in younger (

Matched MeSH terms: Accelerometry

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