TY - JOUR
T1 - Translation of the weight-related behaviours questionnaire into a short-form psychosocial assessment tool for the detection of women at risk of excessive gestational weight gain
AU - Fealy, Shanna
AU - Leigh, Lucy
AU - Hazelton, Michael
AU - Attia, John
AU - Foureur, Maralyn
AU - Oldmeadow, Christopher
AU - Collins, Clare E.
AU - Smith, Roger
AU - Hure, Alexis J.
N1 - Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/9/9
Y1 - 2021/9/9
N2 -
The identification and measurement of psychosocial factors that are
specific to pregnancy and relevant to gestational weight gain is a
challenging task. Given the general lack of availability of
pregnancy-specific psychosocial assessment instruments, the aim of this
study was to develop a short-form psychosocial assessment tool for the
detection of women at risk of excessive gestational weight gain with
research and clinical practice applications. A staged scale reduction
analysis of the weight-related behaviours questionnaire was conducted
amongst a sample of 159 Australian pregnant women participating in the
Women and Their Children’s Health (WATCH) pregnancy cohort study.
Exploratory factor analysis, univariate logistic regression, and item
response theory techniques were used to derive the minimum and most
predictive questions for inclusion in the short-form assessment tool. Of
the total 49 questionnaire items, 11 items, all 4 body image items, n =
4 attitudes towards weight gain, and n = 3 self-efficacy items, were
retained as the strongest predictors of excessive gestational weight
gain. These within-scale items were highly correlated, exhibiting high
item information function value statistics, and were observed to have
high probability (p < 0.05) for
excessive gestational weight gain, in the univariate analysis. The
short-form questionnaire may assist with the development of tailored
health promotion interventions to support women psychologically and
physiologically to optimise their pregnancy weight gain. Confirmatory
factor analysis is now required.
AB -
The identification and measurement of psychosocial factors that are
specific to pregnancy and relevant to gestational weight gain is a
challenging task. Given the general lack of availability of
pregnancy-specific psychosocial assessment instruments, the aim of this
study was to develop a short-form psychosocial assessment tool for the
detection of women at risk of excessive gestational weight gain with
research and clinical practice applications. A staged scale reduction
analysis of the weight-related behaviours questionnaire was conducted
amongst a sample of 159 Australian pregnant women participating in the
Women and Their Children’s Health (WATCH) pregnancy cohort study.
Exploratory factor analysis, univariate logistic regression, and item
response theory techniques were used to derive the minimum and most
predictive questions for inclusion in the short-form assessment tool. Of
the total 49 questionnaire items, 11 items, all 4 body image items, n =
4 attitudes towards weight gain, and n = 3 self-efficacy items, were
retained as the strongest predictors of excessive gestational weight
gain. These within-scale items were highly correlated, exhibiting high
item information function value statistics, and were observed to have
high probability (p < 0.05) for
excessive gestational weight gain, in the univariate analysis. The
short-form questionnaire may assist with the development of tailored
health promotion interventions to support women psychologically and
physiologically to optimise their pregnancy weight gain. Confirmatory
factor analysis is now required.
KW - Body image
KW - Gestational weight gain
KW - Pregnancy care
KW - Psychosocial
KW - Public health
KW - Self-efficacy
KW - Weight gain attitudes
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U2 - 10.3390/ijerph18189522
DO - 10.3390/ijerph18189522
M3 - Article
C2 - 34574447
AN - SCOPUS:85114553781
SN - 1660-4601
VL - 18
SP - 1
EP - 13
JO - International Journal of Environmental Research and Public Health
JF - International Journal of Environmental Research and Public Health
IS - 18
M1 - 9522
ER -