Physical Activity Measurement Tools Research Articles

Using stable isotope techniques in nutrition assessments and tracking of global targets post-2015

Stable isotopes are non-radioactive, safe and are applied for various purposes in human health assessment in trace amounts that minimally disturb normal physiology. The International Atomic Energy Agency supports the use of stable isotope techniques to design and evaluate interventions addressing malnutrition in all its forms with focus on infant and young child feeding; maternal and adolescent nutrition; diet quality; prevention and control of non-communicable diseases; healthy ageing and gut function. These techniques can be used to objectively measure: (1) amount of human milk consumed and whether an infant is exclusively breastfed; (2) body composition in the context of re-feeding programmes for moderate and severe acute malnutrition and as an indicator of the risk for obesity; (3) bioavailability and bioconversion of pro-vitamin A and vitamin A body stores following vitamin A intervention programmes; (4) absorption and retention of iron, zinc and protein; (5) total energy expenditure for validation of physical activity measurement and dietary assessment tools and (6) diagnosis of Helicobacter pylori. Stable isotope techniques will be invaluable in the tracking of global targets on exclusive breast-feeding childhood obesity and anaemia among women. Efforts are underway to make nuclear techniques more affordable, field-friendly and less invasive, and to develop less sophisticated but precise equipment. Advocacy for the wide adoption of the techniques is needed.

New tool to keep track of levels of physical activity at school

Dorothy Lepkowska discusses the importance of physical activity and looks at an online physical activity measurement tool for schools.

Assessment of pedometer accuracy in capturing habitual types of physical activities in overweight and obese children.

Currently, there is a limited amount of research exploring physical activity measurement tools in overweight and obese (OW/OB) children using pedometers. Thus, our objective was to determine the accuracy of one spring-levered (SC-T2) and two piezoelectric pedometers (NL-1000 and Piezo) in OW/OB children. A total of 26 boys and 34 girls (n = 60) participated. Pedometer step-counts were compared to observed step counts for walking (walking, stair ascent and decent) and hopping tests. Pedometer accuracies were compared with Friedman tests while Bland-Altman plots were used to establish the accuracy of each pedometer against direct observations. Boys (n = 26) and females (n = 34) were 96 and 91% OB, respectively. The two piezoelectric pedometers (NL-1000 and Piezo) were accurate for walking and stair climbing tasks, however all pedometers were inaccurate for hopping tests. Averaged over all three walking activities, the NL-1000 was the most accurate with 6.7% median error (interquartile range (IQR): 0.0-13.3); followed by the Piezo with 10.0% median error (IQR: 3.3-18.1); SC-T2 was the least accurate with -14.7% median error (IQR: -54.8-3.5). These results support the use of the piezoelectric pedometers for walking and stair climbing types of activities, which are typical for OW/OB children in a nonlaboratory setting.

Direct observation is a valid criterion for estimating physical activity and sedentary behavior.

Physical activity and sedentary behavior measurement tools need to be validated in free-living settings. Direct observation (DO) may be an appropriate criterion for these studies. However, it is not known if trained observers can correctly judge the absolute intensity of free-living activities. To compare DO estimates of total MET-hours and time in activity intensity categories to a criterion measure from indirect calorimetry (IC). Fifteen participants were directly observed on three separate days for two hours each day. During this time participants wore an Oxycon Mobile indirect calorimeter and performed any activity of their choice within the reception area of the wireless metabolic equipment. Participants were provided with a desk for sedentary activities (writing, reading, computer use) and had access to exercise equipment (treadmill, bike). DO accurately and precisely estimated MET-hours [% bias (95% CI) = -12.7% (-16.4, -7.3), ICC = 0.98], time in low intensity activity [% bias (95% CI) = 2.1% (1.1, 3.2), ICC = 1.00] and time in moderate to vigorous intensity activity [% bias (95% CI) -4.9% (-7.4, -2.5), ICC = 1.00]. This study provides evidence that DO can be used as a criterion measure of absolute intensity in free-living validation studies.

Environmental Influences on Physical Activity in Rural Midwestern Adults

Qualitative research can be used to examine multiple factors associated with physical activity and help practitioners identify language used by the rural adult population when discussing this behavior. Three focus groups were conducted among 19 residents of multiple towns in a rural Midwestern county to examine the language and influences on rural physical activity. Focus group members were asked to define physical activity, exercise, community, and neighborhood. They were asked about the activities they engaged in and facilitators and barriers to those activities. A guidebook was developed to capture major themes and common patterns that emerged in the responses to the topics discussed. The data were reviewed for repeated statements and points that were agreed on by multiple participants. Important factors associated with physical activity include the importance of social support and modeling physical activity behavior. Also, the influence of pets and children was important for engaging these adults in physical activity. The focus group members engaged in walking and bicycling in their neighborhood streets and community trails, and desired to see community buildings be open to the public for exercise. This study revealed contextual issues and culturally relevant language for practitioners to use in tailoring physical activity measurement tools or designing interventions for a rural adult population. Social support (specifically, seeing others being active and using pets as motivators for being active) and policy attitudes may be targeted for interventions to increase physical activity in rural adults.

A guide to assessing physical activity using accelerometry in cancer patients

Increased physical activity (PA) has been associated with a decreased risk for the occurrence and recurrence of many cancers. PA is an important outcome measure in rehabilitation interventions within cancer and may be used as a proxy measure of recovery or deterioration in health status following treatment and in the palliative care setting. PA is a complex multi-dimensional construct which is challenging to measure accurately. Factors such as technical precision and feasibility influence the choice of PA measurement tool. Laboratory-based methods are precise and mainly used for validation purposes, but their clinical applicability is limited. Self-report methods such as questionnaires are widely used due to their simplicity and reasonable cost; however, accuracy can be questionable. Objective methods such as pedometers measure step count but do not measure intensity, frequency or duration of activity. Accelerometers can measure PA behaviour at both ends of the movement spectrum from sedentary to vigorous levels of activity and can also provide objective data about the frequency, intensity, type and duration of PA. Balancing precision with ease of use, accelerometry may be the best measure of PA in cancer-based studies, but only a small number of studies have incorporated this measurement. This review will provide a background to PA and an overview of accelerometer measurement as well as technical and practical considerations, so this useful tool could be more widely incorporated into clinical trial research within cancer.

The effects of physical exercise on older adults, aged 65 years and older, with a diagnosis of dementia: a systematic review protocol

Review question/objective Does physical exercise affect functional performance, quality of life, cognitive impairment and physical activity levels of older adults (<65yrs) with a diagnosis of dementia? More specifically, the objectives are to: determine the effect of physical exercise on domains of functional performance, physical activity levels, quality of life and cognitive impairment determine whether resistance training or aerobic training is more effective on the elderly with dementia determine the impact of exercise on Behavioural and Psychological Symptoms of Dementia (BPSD) Determine whether program effectiveness is dependent upon living arrangements (ie community-dwelling adults with dementia compared to those living in residential aged care facilities [RACF]) evaluate the validity and reliability of functional performance and physical activity measurement tools for peoples with dementia. Inclusion criteria Types of participants This review will consider studies that target older adults, aged 65 years and older, with a specific medical diagnosis of dementia, living in the community (with respite care) or in residential aged care facilities. Due to the nature of dementia diagnosis, the duration since diagnosis will not be considered as a point of reference for the severity of the disease. Exclusion criteria are studies that include older adults who are bed-ridden or hospitalized, dementia diagnosis based off MMSE scores alone (no medical diagnosis of dementia). Types of intervention(s)/phenomena of interest This review will consider all studies that evaluate physical exercise interventions using an experimental study design, of any length. Specifically, studies will compare a specific intervention in one–on-one and group settings. Studies aimed at increasing exercise through education or health promotion will not be included. Types of outcomes This review will include studies that measure at least one of the following primary outcome measures: quality of life, functional performance, physical activity levels and cognitive impairment. Secondary outcome measures may include any mentioned changes attributed to the program for dementia patients and/or their carers, as well as validity, reliability and appropriateness of outcome tools used.

Correlation between the Yale Physical Activity Survey (YPAS) and a submaximal performance-based test: A study in a population of elderly Spanish women

The aim of this study is to research the degree of correlation between the Spanish version of the questionnaire YPAS and the 6-minute walking test (6MWT) in women over 60. In addition, the authors analyzed the relationship between the variables age and body mass index (BMI) and the walked distance. The study was carried out with 44 elderly women (68.1±5.4 years) who filled in the questionnaire and immediately afterwards performed the 6MWT. Total time and energy expenditure (EE) values obtained in the questionnaire are significantly correlated with the 6MWT (p=0.02; p=0.01, respectively), while BMI and age showed an inverse association (r=−0.433; r=−0.318, respectively) with the walked distance. The Spanish version of YPAS is beginning to be considered as a valid and useful tool for habitual physical activity (PA) measurement and can be used among elderly Spanish speaking women.

Measuring Physical Activity and Sedentary Behaviors in Women with Young Children: A Systematic Review

Current evidence indicates that women with young children are less active than women without children. In this review the authors investigated the methods of measuring physical activity employed in studies of women with young children (aged 1–5 years) and the associated challenges in measurement. Articles from databases (MEDLINE, OVID, CINAHL, Google Scholar) and manual searches were limited to English peer-reviewed journals published from 1990 to 2010. Studies that included measurement of physical activity in samples of women with young children were selected. Measurement properties were extracted, and original reliability and validity articles were reviewed for physical activity measurement tools used by 15 samples. The evidence base was dominated by self-report measurement tools, many of which assessed leisure-time physical activity only. Use of motion sensors to assess physical activity in this population was limited. It is likely that much of the habitual physical activity performed by women with young children has not been captured by self-report measures. Further investigation should be undertaken using tools that capture adequately all health-enhancing physical activity among women with young children.

Quantifying Bone-Relevant Activity and Its Relation to Bone Strength in Girls

Physical activity (PA) is critical for maximizing bone development during growth. However, there is no consensus on how well existing PA measurement tools predict bone strength. The purposes of this study were to compare four methods of quantifying PA (pedometer, 3-d PA recall (3DPAR), bone-specific PA questionnaire (BPAQ), and past year PA questionnaire (PYPAQ)), in young girls and to evaluate their ability to predict indices of bone strength. A total of 329 girls aged 8-13 yr completed a pedometer assessment, the 3DPAR, the BPAQ, and a modified PYPAQ. Peripheral quantitative computed tomography was used to assess bone strength index (BSI) at metaphyseal (4% distal femur and tibia) sites and strength-strain index (SSI) at diaphyseal (femur = 20%, tibia = 66%) sites of the nondominant leg. Correlations and hierarchical multiple regression were used to assess relationships among PA measures and indices of bone strength. After adjusting for maturity, correlations between PA measures and indices of bone strength were positive, although low (r = 0.01-0.20). Regression models that included covariates (maturity, body mass, leg length, and ethnicity) and PA variables showed that PYPAQ score was significantly (P < 0.05) associated with BSI and SSI at all sites and explained more variance in BSI and SSI than any other PA measure. Pedometer steps were significantly (P < 0.05) associated with metaphyseal femur and tibia BSI, and 3DPAR score was significantly (P < 0.05) associated with metaphyseal femur BSI. BPAQ score was not significantly (P > 0.05) associated with BSI or SSI at any sites. A modified PYPAQ that accounts for the duration, frequency, and load of PA predicted indices of bone strength better than other PA measures.

The BPAQ: a bone-specific physical activity assessment instrument

A newly developed bone-specific physical activity questionnaire (BPAQ) was compared with other common measures of physical activity for its ability to predict parameters of bone strength in healthy, young adults. The BPAQ predicted indices of bone strength at clinically relevant sites in both men and women, while other measures did not. Only certain types of physical activity (PA) are notably osteogenic. Most methods to quantify levels of PA fail to account for bone relevant loading. Our aim was to examine the ability of several methods of PA assessment and a new bone-specific measure to predict parameters of bone strength in healthy adults. We recruited 40 men and women (mean age 24.5). Subjects completed the modifiable activity questionnaire, Bouchard 3-day activity record, a recently published bone loading history questionnaire (BLHQ), and wore a pedometer for 14 days. We also administered our bone-specific physical activity questionnaire (BPAQ). Calcaneal broadband ultrasound attenuation (BUA) (QUS-2, Quidel) and densitometric measures (XR-36, Norland) were examined. Multiple regression and correlation analyses were performed on the data. The current activity component of BPAQ was a significant predictor of variance in femoral neck bone mineral density (BMD), lumbar spine BMD, and whole body BMD (R(2) = 0.36-0.68, p < 0.01) for men, while the past activity component of BPAQ predicted calcaneal BUA (R(2) = 0.48, p = 0.001) for women. The BPAQ predicted indices of bone strength at skeletal sites at risk of osteoporotic fracture while other PA measurement tools did not.

Physical Activity in Preschoolers

Accurate physical activity quantification in preschoolers is essential to establish physical activity prevalence, dose-response relationships between activity and health outcomes, and intervention effectiveness. To date, best practice approaches for physical activity measurement in preschool-aged children have been relatively understudied. This article provides a review of physical activity measurement tools for preschoolers, an overview of measurement of preschoolers' physical activity, and directions for further research. Electronic and manual literature searches were used to identify 49 studies that measured young children's physical activity, and 32 studies that assessed the validity and/or reliability of physical activity measures with preschool-aged children. While no prevalence data exist, measurement studies indicate that preschool children exhibit low levels of vigorous activity and high levels of inactivity, boys are more active than girls, and activity patterns tend to be sporadic and omnidirectional. As such, measures capable of capturing differing activity intensities in very short timeframes and over multiple planes are likely to have the most utility with this population. Accelerometers are well suited for this purpose, and a number of models have been used to objectively quantify preschoolers' physical activity. Only one model of pedometer has been investigated for validity with preschool-aged children, showing equivocal results. Direct observation of physical activity can provide detailed contextual information on preschoolers' physical activity, but is subjective and impractical for understanding daily physical activity. Proxy-report questionnaires are unlikely to be useful for determining actual physical activity levels of young children, and instead may be useful for identifying potential correlates of activity. Establishing validity is challenging due to the absence of a precise physical activity measure, or 'criterion', for young children. Both energy expenditure (EE) and direct observation have been considered criterion measures in the literature; however, EE is influenced by multiple variables, so its use as a physical activity 'criterion' is not ideal. Also, direct observation is inherently subjective, and coding protocols may result in failure to capture intermittent activity, thereby limiting its utility as a physical activity criterion. Accordingly, these issues must be taken into account where EE or direct observation are used to validate physical activity instruments. A combination of objective monitoring and direct observation may provide the best standard for the assessment of physical activity measurement tools. Ideally, the convergent validity of various physical activity tools should be investigated to determine the level of agreement between currently available measures. The correlational approaches commonly employed in the assessment of physical activity measures do not reveal this relationship, and can conceal potential bias of either measure.

Reliability and Validity of a Computerized and Dutch Version of the International Physical Activity Questionnaire (IPAQ)

Background:The purpose of this study was to examine the reliability and validity of a newly developed computerized Dutch version of the International Physical Activity Questionnaire (IPAQ).Methods:Subjects (N = 53) completed the computerized IPAQ at three specified times. Subjects wore a CSA activity monitor during seven full days and simultaneously completed a 7-d physical activity diary. Finally, respondents filled out a paper and pencil IPAQ.Results:Intraclass correlation coefficient ranged from 0.60 to 0.83. Correlations for “total physical activity” between the computerized IPAQ and the CSA activity counts were moderate (min: r = 0.38; kcal: r = 0.43). Correlations with the physical activity diary were also moderate (min: r = 0.39; kcal: r = 0.46). Correlations between the computerized and the paper and pencil IPAQ were high (min: r = 0.80; kcal: r = 0.84).Conclusions:The computerized Dutch IPAQ is a reliable and reasonably valid physical activity measurement tool for the general adult population.