Understanding health inequalities is essential for improving social justice. Intersectionality refers to a theoretical framework for studying the intersection of multiple social categorizations that create unique experiences and related social inequalities. Currently, the majority of the intersectional studies in the physical activity field have a qualitative design; thus, there is a need for quantitative intersectional studies. This commentary aims to explore primary obstacles impeding intersectional quantitative research and provide recommendations for overcoming these obstacles in physical activity research. In the commentary, we discuss that the lack of accessibility of large-scale and diverse data sets, and suboptimal social categorizations and intersectionality-related questions may contribute to the scarcity of intersectional quantitative research in the field. To facilitate intersectional quantitative analyses, we advocate for making large-scale data sets accessible for intersectional secondary analyses, diverse sampling, standardizing questions and categories related to intersectionality, promoting inclusive research designs and methods, and using the appropriate questions and social categorization that reflect the distinct experiences of each subgroup. By addressing these challenges, researchers may gain new insights into health disparities, making physical activity research more inclusive and contributing to more equitable health outcomes.
Search Results
You are looking at 1 - 4 of 4 items for
- Author: Teatske M. Altenburg x
- Refine by Access: All Content x
Challenges and Future Directions for Promoting Intersectional Quantitative Studies in Physical Activity Research
Mari Sone, Teatske M. Altenburg, and Mai J.M. ChinAPaw
Correlates of Fundamental Motor Skills in the Early Years (0–4 Years): A Systematic Review
Sanne L.C. Veldman, Jessica S. Gubbels, Amika S. Singh, Johan M. Koedijker, Mai J.M. Chinapaw, and Teatske M. Altenburg
Aim: This systematic review aims to summarize evidence on correlates of fundamental motor skills in typically developing children aged 0–4 years. Methods: A literature search (PubMed, Embase, PsycINFO, and SPORTDiscus) was performed from 2000 till 23 May 2022. Inclusion criteria was cross-sectional and prospective studies examining associations between a potential correlate and fundamental motor skills in typically developing, apparently healthy children aged 0–4 years. Two independent reviewers performed screening and methodological quality assessment. Results: Eighty-three studies met eligibility criteria and were included. Thirteen studies were of high methodological quality. In children aged <1 year, we found no evidence for family income, breastfeeding-related, sleep-related, home environment, and socioeconomic variables. In children aged 1–2 years, we found no evidence for sex, growth-related variables, singleton birth, and family income. In children aged 2–4 years, we found no evidence for screen behavior, toxicity, parental education, family income, socioeconomic variables, and maternal depression/anxiety and moderate evidence for a positive association with early childhood education and care setting type. For other examined correlates, we found insufficient evidence (inconsistent findings or only one study available). Conclusions: We found insufficient evidence for over half of examined potential correlates of fundamental motor skills. We recommend investing in better research methodologies and improved reporting.
Inter-Brand, -Dynamic Range, and -Sampling Rate Comparability of Raw Accelerometer Data as Used in Physical Behavior Research
Annelinde Lettink, Wessel N. van Wieringen, Teatske M. Altenburg, Mai J.M. Chinapaw, and Vincent T. van Hees
Objective: Previous studies that looked at comparability of accelerometer data focused on epoch or recording level comparability. Our study aims to provide insight into the comparability at raw data level. Methods: We performed five experiments with accelerometers attached to a mechanical shaker machine applying movement along a single axis in the horizontal plane. In each experiment, a 1-min no-movement condition was followed by nineteen 2-min shaker frequency conditions (30–250 rpm). We analyzed accelerometer data from Axivity, ActiGraph, GENEActiv, MOX, and activPAL devices. Comparability between commonly used brands and dynamic ranges was assessed in the frequency domain with power spectra and in the time domain with maximum lagged cross-correlation analyses. The influence of sampling rate on magnitude of acceleration across brands was explored visually. All data were published open access. Results: Magnitude of noise in rest was highest in MOX and lowest in ActiGraph. The signal mean power spectral density was equal between brands at low shaker frequency conditions (<3.13 Hz) and between dynamic ranges within the Axivity brand at all shaker frequency conditions. In contrast, the cross-correlation coefficients between time series across brands and dynamic ranges were higher at higher shaking frequencies. Sampling rate affected the magnitude of acceleration most in Axivity and least in GENEActiv. Conclusions: The comparability of raw acceleration signals between brands and/or sampling rates depends on the type of movement. These findings aid a more fundamental understanding and anticipation of differences in behavior estimates between different implementations of raw accelerometry.
Daily Variations in Weather and the Relationship With Physical Activity and Sedentary Time in European 10- to 12-Year-Olds: The ENERGY-Project
Mine Yildirim, Anna Schoeni, Amika S. Singh, Teatske M. Altenburg, Johannes Brug, Ilse De Bourdeaudhuij, Eva Kovacs, Bettina Bringolf-Isler, Yannis Manios, and Mai J.M. Chinapaw
Background:
The aim of the study was to examine the association of daily variations in rainfall and temperature with sedentary time (ST) and physical activity (PA) in European children.
Methods:
Children were included from 5 countries (Belgium, Greece, Hungary, the Netherlands, Switzerland) as part of the ENERGY-project. We used cross-sectional data from 722 children aged 10–12 years (47% boys). ST and PA were measured by accelerometers for 6 consecutive days, including weekend days. Weather data were collected from online national weather reports. Multilevel regression models were used for data analyses.
Results:
Maximum temperature was positively associated with light PA (β = 3.1 min/day; 95% CI = 2.4–3.8), moderate-to-vigorous PA (β = 0.6 min/day; 95% CI = 0.4–0.8), and average PA [β = 4.1 counts per minute (cpm); 95% CI = 1.6–6.5, quadratic relationship]. Rainfall was inversely and quadratically associated with light PA (β = –1.3 min/day; 95% CI = –1.9 to –0.6), moderate-to-vigorous PA (β = –0.6 min/day; 95% CI = –0.8 to –0.3), and average PA (β = –1.6 cpm; 95% CI = –2.2 to –0.9). Maximum temperature was not significantly associated with ST (β = –0.2 min/day; 95% CI = –1.0 to 0.6), while rainfall was positively associated with ST (β = 0.9 min/day; 95% CI = 0.6–1.3).
Conclusion:
The current study shows that temperature and rainfall are significantly associated with PA and ST in 10- to 12-year-old European children.