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Homo. 2017 May;68(3):236-241. doi: 10.1016/j.jchb.2017.03.004. Epub 2017 Mar 19.

Factors influencing diurnal variation in height among adults.

Author information

1
School of Social Sciences, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand. Electronic address: b.floyd@auckland.ac.nz.
2
School of Social Sciences, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Abstract

This study evaluates height loss during the day in light of variables assessable through participant self-report. Participants were 19 female and 15 male staff and students who met with us twice with a mean interval between measurement sessions of 6.96h (SD=0.86). Hypotheses were evaluated using two-stage least squares regression analysis (SYSTAT 10). Males and females lost similar amounts of height between sessions (male,x¯=6.9mm;female,x¯=7.4mm). Among factors considered to impact overall height loss, sleep duration (Adj. R2=0.181, p=0.022) and height (Adj. R2=0.121, p=0.048) were useful in univariate analyses, though they were not significant in any models that included variables other than sex. Judging from log-transformed BMI variation, heavier males and females lost more height (F(2, 31)=4.59, Adj. R2=0.179, p=0.018). Among factors anticipated to reduce height loss by acting prior to morning measurements, only time spent walking was significantly associated (β=2.6±0.8mm, t=3.16, p=0.004) when included as a predictor along with sex (p=0.17) and log-BMI (p=0.003). This model explained about 38% of height loss variance. None of the factors considered as potentially acting between measurement sessions showed statistically significant influences when included in the model just described, though predictor coefficients were in the anticipated direction. Results suggest that self-reported activities may be an important supplement to anthropometric studies, both for planning and later evaluation, particularly in large studies.

PMID:
28400060
DOI:
10.1016/j.jchb.2017.03.004
[Indexed for MEDLINE]

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