Purpose: To examine significance of missing data and describe physical activity patterns using recall and accelerometer measures among youth in a nonlaboratory setting.

Methods: Fifty-four middle-school students wore TriTrac-R3D monitors (TTM) and completed an interviewer-prompted 24-h recall during two, 5-d monitoring sessions. We coded 2860 30-min recall intervals to a standard MET compendium. Complete TTM data were gathered for 43 students. Ordinal multinomial models tested for bias in TTM estimates of activity levels due to: 1) exclusion of subjects with incomplete TTM data, and 2) exclusion of intervals within days due to missing TTM data.

Results: Students with complete monitor data had an average 12.5 +/- 0.9 monitored hours per day over 5.5 +/- 2.1 d. Compared with students with incomplete monitoring data, they reported similar proportions of recall 30-min intervals at sedentary (68% vs 69%), light (14% vs 15%), moderate (11% vs 10%), and vigorous (7% vs 6%) intensity levels (P = 0.63). The proportion of recall intervals (within days) with and without simultaneous monitoring data did not differ by activity intensity (P = 0.64) across sedentary (69% vs 67%), light (14% vs 12%), moderate (11% vs 10%), and vigorous (6% vs 9%) categories. Recalls overestimated percent time per day in moderate and vigorous activity relative to TTM (22.8% vs 8.9%, P < 0.0001). Boys reported higher percent of time than girls in vigorous activity (10.9% vs 3.9%, P < 0.05). Girls reported more time than boys (9.5% vs 6.4%, P < 0.05) in light activities. No significant sex differences were observed using TTM.

Conclusions: Missing TTM data did not bias estimates of activity levels. Self-reported activity measures overestimated moderate and vigorous activity relative to the TTM and varied by sex.

Download full-text PDF

Source
http://dx.doi.org/10.1249/01.mss.0000117112.76067.d3DOI Listing

Publication Analysis

Top Keywords

activity levels
12
ttm data
12
vigorous activity
12
activity
9
physical activity
8
ttm
8
recall intervals
8
estimates activity
8
intervals days
8
missing ttm
8

Similar Publications

In light of the Chinese government's dual carbon goals, achieving cleaner production activities has become a central focus, with regional environmental collaborative governance, including the management of agricultural carbon reduction, emerging as a mainstream approach. This study examines 268 prefecture-level cities in China, measuring the carbon emission efficiency of city agriculture from 2001 to 2022. By integrating social network analysis and a modified gravity model, the study reveals the characteristics of the spatial association network of city agricultural carbon emission efficiency in China.

View Article and Find Full Text PDF

Stroke is one of the leading causes of death in developing countries, and China bears the largest global burden of stroke. This study aims to investigate the relationship between different dimensions of physical activity levels and stroke risk using a nationally representative database. We performed a cross-sectional analysis using data from the China Health and Retirement Longitudinal Study (CHARLS) 2020.

View Article and Find Full Text PDF

Climate change has caused many challenges to soil ecosystems, including soil salinity. Consequently, many strategies are advised to mitigate this issue. In this context, biochar is acknowledged as a useful addition that can alleviate the detrimental impacts of salt stress on plants.

View Article and Find Full Text PDF

Objective: This study aimed to examine the levels of physical activity (PA), sleep, and mental health (MH), specifically depression, anxiety, and stress, among Chinese university students. It also aimed to analyze the influencing factors of MH, providing a theoretical foundation for developing intervention programs to improve college students' mental health.

Methods: A stratified, clustered, and phased sampling method was employed.

View Article and Find Full Text PDF

To understand the action mechanism of probiotics against postmenopausal symptoms, we examined the effects of Lactococcus lactis P32 (P) and Bifidobacterium bifidum P45 (P), which suppressed interleukin (IL)-6 and receptor activator of nuclear factor-κB (RANK) ligand (RNAKL) expression in Gardnerella vaginalis (Gv)-stimulated macrophages, on vaginitis, osteoporosis, and depression/cognitive impairment (DC) in mice with vaginally infected Gv, ovariectomy (Ov), or Ov/Gv (oG). Oral administration of P or P decreased Gv-induced DC-like behavior and tumor necrosis factor (TNF)-α, IL-6, RANK, and/or RANKL expression in the vagina, bone, hypothalamus, hippocampus, and colon, while Gv-suppressed bone osteoprotegerin and brain serotonin and brain-derived neurotrophic factor (BDNF) levels increased. They partially shifted vaginal and gut dysbiosis in Gv-infected mice to the gut microbiota composition in normal control mice.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!