Daily metabolic expenditures: estimates from US, UK and polish time-use data

Why Do Romantic Relationships Affect Physical Activity? An Analysis of the Time Use of Couples and Singles Over a 3-Day Period

BACKGROUND

Several studies have found that individuals with a partner were less physically active than those without. To better understand the reasons for this association, we examine whether the existence of a relationship or the current presence of a partner influences physical activity (PA).

METHODS

We use data from the most recent German Time Use Survey 2012/13 to examine leisure-time PA. All leisure-time activities reported in the time diaries are classified according to their metabolic equivalent of task (MET) to calculate the mean MET scores. First, we use ordinary least square regressions and logistic regressions to examine the effects of living together with a partner or not on mean daily MET scores and on exercise. Second, we apply person-day fixed effects models to estimate the impact of current partner presence on current PA levels.

RESULTS

Having a partner is negatively associated with exercising but is not correlated with mean leisure-time MET scores for both women and men. For those with a partner, current MET levels are substantially lower when the partner is present than when the partner is absent. When partners spend leisure-time activities apart, their MET levels are higher than those of individuals without a partner.

CONCLUSIONS

The results suggest that it is not the mere existence of a romantic relationship but the current copresence with a partner that affects PA behavior. Therefore, interventions to increase PA may be promising if they can encourage couples to be active together.

Time change in the distribution of physical activity and its correlates among retired older Swedish adults: a repeated cross-sectional study from a national survey

Background

Understanding how older adults spend time in moderate- to vigorous-intensity physical activity (MVPA) is crucial to understanding healthy ageing. This study connects 24-h time-use diary records of the daily activities of a sample of Swedish older adults to energy intensities. The aim was to: i) estimate the prevalence of Swedish older adults (aged 65–84 years) who achieved recommended daily levels of physical activity; ii) identify what domains of everyday life contribute to MVPA; and iii) explore socio-demographic factors affecting rates of active living.

Methods

We draw on two Swedish nationally representative samples of time-use diary data from 2000/2001 and 2010/2011. Data covering the duration of all activities performed over two days were combined with activity-intensity information (metabolic equivalent of task [MET] values) to estimate the energy expenditure (MET min) originating from MVPA.

Results

Results indicate that 94.1% of Swedish older adults achieved the WHO-recommended minimum level of daily MVPA in 2010/2011; the share remained unchanged over the period. MVPA performed in natural environments (24.2%), during housework (22.8%), and on everyday walks in one’s local area (18.1%) were dominant domains contributing to energy expenditure. Home maintenance and repairs (8.8%), active transport (9.9%), and physical exercise (8.2%) contributed to a lesser extent. In 2000/2001, total MVPA energy expenditure was associated with gender, housing, living region, and disability; in 2010/2011, except for disability, these associations were no longer significant.

Conclusions

The high proportion of older adults who achieved the recommended level of MVPA, their allocation of MVPA time to diverse domains, and the reduced social distribution over time suggest that elderly people increasingly find their own paths to everyday physical activity. This indicates a need to promote MVPA not only in established ways, such as prescribed training programmes. The importance of active physical activities in natural environments, and of regular walks in the vicinity of home, indicates a need to incorporate healthy ageing considerations in wider urban and regional planning, for example, to increase access to natural environments and urban walkability. Also, older adults’ involvement in household chores, maintenance and repairs, and active transport extends responsibility to new policy areas.

Energy Costs of Household and Eldercare Activities in Young to Middle-Aged Chinese Adults

BACKGROUND

The 2011 Compendium of Physical Activities provides metabolic equivalent (MET) values for household and eldercare activities (physical activities [PAs]). METs are from published studies, estimated if values are not published, or combined with other PAs with different METs in a single entry. Some PAs are missing from the Compendium. This study measures the energy costs for 15 household and eldercare PAs with estimated METs, PAs in combined entries, and new PAs.

METHODS

Participants were 30 adults (14 males and 16 females), ages 22-58 years (33.7 [11.2] y). PAs were measured in a laboratory for 8 minutes with a 4-minute rest between PAs. A portable indirect calorimeter measured oxygen uptake (in milliliters per kilogram per minute). Standard METs were computed as activity VO2/3.5 mL·kg-1·min-1.

RESULTS

Cooking, meal tasks, laundry, light cleaning, and watering plants ranged from 1.8 to 2.3 METs. Sweeping, walking, and carrying groceries and boxes on the ground and stairs ranged from 3.0 to 5.5 METs. Eldercare ranged from 1.8 to 3.0 METs. Measured METs differed from estimated values by ±0.3 to 2.2 METs. Most measured METs were lower than estimated METs.

CONCLUSION

Updating estimated METs with measured values and separating PAs from combined entries increases the accuracy of household and eldercare PAs presented in the Compendium.

Amount, Type, and Timing of Domain-Specific Moderate to Vigorous Physical Activity Among US Adults

BACKGROUND

Surveillance of domain-specific physical activity in the United States is lacking. Thus, the authors describe domain-specific moderate to vigorous physical activity (MVPA) in a nationwide sample of US adults.

METHODS

Participants from the AmeriSpeak panel (n = 2649; 20-75 y; 50% female) completed the Activities Completed Over Time in 24-Hours previous-day recall. The authors estimated average MVPA duration (in hours per day) overall and in major life domains by sex, age, race/ethnicity, and education. They also described the most commonly reported MVPAs and timing of MVPA during the day.

RESULTS

Across all life domains, participants reported an average of 2.5 hours per day in MVPA. Most MVPA was accumulated during work (50% of total, 1.2 h/d) and household activities (28%, 0.7 h/d) with less MVPA reported in leisure time (15%, 0.4 h/d). Time reported in MVPA varied by sex, and race/ethnicity (P < .05). Walking at work and for exercise, childcare, and walking for transportation were the most commonly reported domain-specific MVPAs. A greater proportion of MVPA took place in the morning (∼06:00 h) and evening (∼18:00 h).

CONCLUSIONS

Work and household activities accounted for 78% of overall MVPA reported, while leisure-time MVPA accounted for only 15% of the total. Encouraging MVPA during leisure time and transportation remain important targets for promoting MVPA in US adults.

Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool

Time-use data can often be perceived as inaccessible by non-specialists due to their unique format. This article introduces the ATUS-X diary visualization tool that aims to address the accessibility issue and expand the user base of time-use data by providing users with opportunity to quickly visualize their own subsamples of the American Time Use Survey Data Extractor (ATUS-X). Complementing the ATUS-X, the online tool provides an easy point-and-click interface, making data exploration readily accessible in a visual form. The tool can benefit a wider academic audience, policy-makers, non-academic researchers, and journalists by removing accessibility barriers to time use diaries.

Physical Activity, Step Counts, and Grip Strength in the Chinese Children and Families Cohort Study

Objectives: This paper describes the development of a physical activity questionnaire (PAQ) designed for Chinese adolescents and their mothers in urban and rural settings, and reports on results of the PAQ, pedometry, and hand grip dynamometry from the Chinese Children and Families Cohort Study pilot investigation (CFCS). Methods: As part of a pilot investigation to evaluate the feasibility to follow-up and obtain detailed nutrition, dietary, physical activity, and ultraviolet radiation (UVR) data from CFCS participants, data were collected in 2013 for 93 adolescent/mother pairs from a rural (n = 41) and an urban site (n = 52) in two provinces. Respondents were asked to wear a pedometer for seven days (Omron HJ-151), use a Takei Digital Grip Strength Dynamometer on (each hand; three trials; two separate days), and complete a 39 item, eight domain PAQ covering the past year. Self-reported physical activity (PA) was linked to metabolic equivalent of task (MET) scores in kcal/kg/hr and used to calculate METs for different domains of PA and intensity categories. Results: Compliance was high (95%) in this measurement protocol administered by health staff during a series of data collection efforts at home and local clinics or health centers. Step counts were highly variable, averaging between 5000 and 10000 per day with somewhat higher step counts in rural adolescent boys. Maximum grip strength (Kgs) was greater in children (Mean = 36.5, SE = 0.8) than mothers (Mean = 28.8, SE = 0.8) and similar in the urban (Mean = 29.6, SE = 0.6) compared to the rural (Mean = 29.6, SE = 0.5) communities overall. Grip strength, step counts, and measures of time spent in different activities or activity intensities were uncorrelated. Conclusion: Device and question-based measurement of PA and strength were readily accepted in these Chinese urban and rural populations. The PAQ on physical activity in the past year produced some plausible population averages, but individual responses suggested recall challenges. If data about specific activities are required, future studies should explore use of standardized survey questions concerning such fewer specific activities or instruments examining shorter time periods such as one, three, or seven day recalls.

Trends and correlates of meeting 24-hour movement guidelines: a 15-year study among 167,577 Thai adults

Background

Time spent in physical activity (PA), sedentary behaviour (SB), and sleep always takes up the whole day. New public health guidelines combining recommendations for PA, SB, and sleep have been issued in several countries. Thailand was the first country to release the 24-h guidelines for adults. Currently, there is no evidence on the population prevalence of meeting 24-h movement guidelines in Thailand. This study, therefore, aimed to determine 15-year trends and associations of meeting 24-h movement guidelines among Thai adults.

Method

We analysed cross-sectional data from 2001, 2004, 2009, and 2015 Thai Time-Use Surveys, coded using the International Classification of Activities for Time-Use Statistics (ICATUS). All ICATUS-based activities were categorised into moderate-to-vigorous PA (MVPA), light PA (LPA), SB, and sleep based on a previously developed classification system. A total of 167,577 adult participants were included. The participants were classified according to the Thai 24-h movement guidelines into meeting or not meeting the following criteria: 1) ≥150 min/week of MVPA; 2) interrupting SB every 2 h; 3) sleeping 7–9 h per day; and 4) adhering to all three guidelines.

Results

In 2015, the prevalence of adults who met the MVPA, SB, sleep, and overall recommendations was 81.7, 44.6, 56.4, and 21.3%, respectively. A significant linear increase was found for the prevalence of meeting the SB recommendation, while the prevalence meeting the MVPA, sleep, and overall recommendations was lowest in 2001, peaked in 2004 or 2009, and declined in 2015. The lowest odds for meeting the 24-h guidelines were found among males, those living in urban areas, inhabitants of Bangkok and South Thailand, unemployed, and those with low education level.

Conclusions

Despite promising trends in the prevalence of meeting PA, SB, and sleep recommendations, a majority of Thai adults still do not meet the overall 24-h movement guidelines. Further actions are needed to promote more MVPA, less SB, and adequate sleep in Thai adults, particularly among males, those living in urban areas, inhabitants of Bangkok and South Thailand, unemployed, and those with low education level.

Standardised criteria for classifying the International Classification of Activities for Time-use Statistics (ICATUS) activity groups into sleep, sedentary behaviour, and physical activity

BACKGROUND

Globally, the International Classification of Activities for Time-Use Statistics (ICATUS) is one of the most widely used time-use classifications to identify time spent in various activities. Comprehensive 24-h activities that can be extracted from ICATUS provide possible implications for the use of time-use data in relation to activity-health associations; however, these activities are not classified in a way that makes such analysis feasible. This study, therefore, aimed to develop criteria for classifying ICATUS activities into sleep, sedentary behaviour (SB), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA), based on expert assessment.

METHOD

We classified activities from the Trial ICATUS 2005 and final ICATUS 2016. One author assigned METs and codes for wakefulness status and posture, to all subclass activities in the Trial ICATUS 2005. Once coded, one author matched the most detailed level of activities from the ICATUS 2016 with the corresponding activities in the Trial ICATUS 2005, where applicable. The assessment and harmonisation of each ICATUS activity were reviewed independently and anonymously by four experts, as part of a Delphi process. Given a large number of ICATUS activities, four separate Delphi panels were formed for this purpose. A series of Delphi survey rounds were repeated until a consensus among all experts was reached.

RESULTS

Consensus about harmonisation and classification of ICATUS activities was reached by the third round of the Delphi survey in all four panels. A total of 542 activities were classified into sleep, SB, LPA, and MVPA categories. Of these, 390 activities were from the Trial ICATUS 2005 and 152 activities were from the final ICATUS 2016. The majority of ICATUS 2016 activities were harmonised into the ICATUS activity groups (n = 143).

CONCLUSIONS

Based on expert consensus, we developed a classification system that enables ICATUS-based time-use data to be classified into sleep, SB, LPA, and MVPA categories. Adoption and consistent use of this classification system will facilitate standardisation of time-use data processing for the purpose of sleep, SB and physical activity research, and improve between-study comparability. Future studies should test the applicability of the classification system by applying it to empirical data.