Can Replacing Sitting Time with Standing Time Improve Adolescents’ Cardiometabolic Health?

Abstract

This study aimed to assess the effects of isotemporal replacement of sitting time (SIT) with standing (STA) on cardiometabolic biomarkers. In this cross-sectional study, male adolescents wore the GT3X+ activity monitor for 7 days to measure the SIT and STA. Moderate-to-vigorous physical activity (MVPA) was estimated by a youth-specific cut-off point. An isotemporal substitution approach was used to examine the effects of replacing different periods of SIT (15, 30, 60, and 120 min) with STA on cardiometabolic biomarkers [total cholesterol (TC), high-density lipoprotein cholesterol (HDL-c), non-HDL-c, low-density lipoprotein cholesterol (LDL-c), triglycerides (TG), glucose, insulin, HOMA2-β, HOMA2-S, and HOMA2-IR]. Analysis of covariance (ANCOVA) with a post-hoc Bonferroni test was used to compare the adjusted means between the four subgroups that were clustered according to SIT and STA amount. Adolescents (n = 84; age, 16.7 ± 0.9 years) wore GT3X+ for 15.2 ± 2.3 h, for 6.7 ± 0.6 days. Isotemporal substitution of SIT with STA was associated with TC, non-HDL-c, LDL-c, and TG. ANCOVA results showed a statistically significant difference for TC, non-HDL-c, and LDL-c. These findings showed that for male adolescents, sitting less and standing more may be an effective alternative to reduce cardiometabolic biomarker levels related to lipid metabolism, regardless of MVPA.

Association between Reallocation Behaviors and Subjective Health and Stress in South Korean Adults: An Isotemporal Substitution Model

“…In addition to the main analysis, participants were classified into "High" and "Low" groups that showed statistically significant outcomes in the ordinal logistic regressions based on a previous study [30]. This categorization used average time (min/week) spent on SB (2584 young adults; 3047 mid-age adults; 3007 older adults), LPA (864 young adults; 1344 mid-age adults; 1409 older adults), and MVPA (185 young adults; 181 mid-age adults; 200 older adults).…”

“…Participants were subsequently clustered into three sets of four subgroups: (1) SB high-LPA low, (2) SB high-LPA high, (3) SB low-LPA low, (4) SB low-LPA high, (5) SB high-MVPA low, (6) SB high-MVPA high, (7) SB low-MVPA low, (8) SB low-MVPA high, (9) LPA high-MVPA low, (10) LPA high-MVPA high, (11) LPA low-MVPA low, (12) LPA low-MVPA high. One-way between-group analysis of covariance (ANCOVA) with a post hoc Bonferroni test was performed to compare subgroup means to examine generality of current study using the mean of activities [30,31]. As with the IS model, all associations were adjusted for gender, age, waist circumference, and wear time.…”

Approaches and methods to assess sedentary behavior in Brazil: a systematic review

“…One question with respect to studies that use questionnaires would be the inclusion of psychometric indicators of validity and reproducibility, which are often not mentioned within the study itself, making it difficult to evaluate the quality of the instrument. In this sense, the importance of properly displaying the quality indicators and more specific SB issues is emphasized 26 .…”

“…Regarding the type of SB measurement, the most used was screen time, considering television, comput-ers, and video games. In other countries screen time has also been widely researched as a measure of SB 26 , however, it reflects only one manifestation domain of SB, and it is necessary to specify other domains, such as hours sitting at school or work, so that the measure can be better recorded. For children and adolescents, the American Academy of Pediatrics established a cut-off point of 2 hours of screen time in 2001 27 .…”

Relationship of Physical Activity and Sedentary Time with Metabolic Health in Children and Adolescents Measured by Accelerometer: A Narrative Review

“…Recent research has strengthened the evidence for the association between ISM and metabolic health, as seen in eight cross-sectional studies included in Table 1. Among these studies, seven examined obesity indicators [36,37,39,42,[44][45][46], three studied BP [39,44,45], and five examined blood lipid indicators and glucose-related indicators [39,[44][45][46]52].…”