TY - JOUR
T1 - Personality-obesity associations are driven by narrow traits
T2 - A meta-analysis
AU - Vainik, Uku
AU - Dagher, Alain
AU - Realo, Anu
AU - Colodro-Conde, Lucía
AU - Mortensen, Erik Lykke
AU - Jang, Kerry
AU - Juko, Ando
AU - Kandler, Christian
AU - Sørensen, Thorkild I.A.
AU - Mõttus, René
N1 - Funding Information:
recherche du Québec—Santé (FRQS) foreign postdoctoral training award. Alain Dagher is supported by Canadian Institutes of Health Research. Anu Realo, René Mõttus, and Uku Vainik were supported by institutional research funding (IUT2‐13) from the Estonian Ministry of Education and Science. Lucía Colodro‐Conde is supported by a QIMR Berghofer Fellowship. The GEMINAKAR project was supported by grants from the Danish Medical Research Fund, the Danish Diabetes Association, the NOVO Foundation, the Danish Heart Foundation, and Apotekerfonden. QIMR Berghofer data collection was supported by the National Health and Medical Research Council (NHMRC, Australia; grants 901061, 950998, and 241944). We are grateful to the Estonian Genome Centre of the University of Tartu and its director, Andres Metspalu, for help in collecting the data and the kind permission to access the data used in the current study.
Funding Information:
Canadian Institutes of Health Research; Danish Diabetes Association; Danish Medical Research Fund; Fonds de Recherche du Québec ‐ Santé; Hjerteforeningen; QIMR Berghofer Fellowship; National Health and Medical Research Council, Grant/Award Numbers: 241944, 901061 and 950998; Apotekerfonden; Danish Heart Foundation; NOVO Foundation; QIMR Berghofer Fellowship; Estonian Ministry of Education and Science; Estonian Research Council, Grant/ Award Number: PUTJD654
Funding Information:
doctoral Research Funding project PUTJD654 and by Fonds de
Funding Information:
Uku Vainik is supported by Estonian Research Council's Personal Post-
Funding Information:
Uku Vainik is supported by Estonian Research Council's Personal Postdoctoral Research Funding project PUTJD654 and by Fonds de recherche du Québec—Santé (FRQS) foreign postdoctoral training award. Alain Dagher is supported by Canadian Institutes of Health Research. Anu Realo, René Mõttus, and Uku Vainik were supported by institutional research funding (IUT2-13) from the Estonian Ministry of Education and Science. Lucía Colodro-Conde is supported by a QIMR Berghofer Fellowship. The GEMINAKAR project was supported by grants from the Danish Medical Research Fund, the Danish Diabetes Association, the NOVO Foundation, the Danish Heart Foundation, and Apotekerfonden. QIMR Berghofer data collection was supported by the National Health and Medical Research Council (NHMRC, Australia; grants 901061, 950998, and 241944). We are grateful to the Estonian Genome Centre of the University of Tartu and its director, Andres Metspalu, for help in collecting the data and the kind permission to access the data used in the current study.
Publisher Copyright:
© 2019 World Obesity Federation
PY - 2019/8
Y1 - 2019/8
N2 - Obesity has inconsistent associations with broad personality domains, possibly because the links pertain to only some facets of these domains. Collating published and unpublished studies (N = 14 848), we meta-analysed the associations between body mass index (BMI) and Five-Factor Model personality domains as well as 30 Five-Factor Model personality facets. At the domain level, BMI had a positive association with Neuroticism and a negative association with Conscientiousness domains. At the facet level, we found associations between BMI and 15 facets from all five personality domains, with only some Neuroticism and Conscientiousness facets among them. Certain personality-BMI associations were moderated by sample properties, such as proportions of women or participants with obesity; these moderation effects were replicated in the individual-level analysis. Finally, facet-based personality “risk” scores accounted for 2.3% of variance in BMI in a separate sample of individuals (N = 3569), 409% more than domain-based scores. Taken together, personality-BMI associations are facet specific, and delineating them may help to explain obesity-related behaviours and inform intervention designs. Preprint and data are available at https://psyarxiv.com/z35vn/.
AB - Obesity has inconsistent associations with broad personality domains, possibly because the links pertain to only some facets of these domains. Collating published and unpublished studies (N = 14 848), we meta-analysed the associations between body mass index (BMI) and Five-Factor Model personality domains as well as 30 Five-Factor Model personality facets. At the domain level, BMI had a positive association with Neuroticism and a negative association with Conscientiousness domains. At the facet level, we found associations between BMI and 15 facets from all five personality domains, with only some Neuroticism and Conscientiousness facets among them. Certain personality-BMI associations were moderated by sample properties, such as proportions of women or participants with obesity; these moderation effects were replicated in the individual-level analysis. Finally, facet-based personality “risk” scores accounted for 2.3% of variance in BMI in a separate sample of individuals (N = 3569), 409% more than domain-based scores. Taken together, personality-BMI associations are facet specific, and delineating them may help to explain obesity-related behaviours and inform intervention designs. Preprint and data are available at https://psyarxiv.com/z35vn/.
KW - body mass index
KW - personality
KW - prediction
KW - risk score
UR - http://www.scopus.com/inward/record.url?scp=85064534100&partnerID=8YFLogxK
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U2 - 10.1111/obr.12856
DO - 10.1111/obr.12856
M3 - Review article
C2 - 30985072
AN - SCOPUS:85064534100
SN - 1467-7881
VL - 20
SP - 1121
EP - 1131
JO - Obesity Reviews
JF - Obesity Reviews
IS - 8
ER -
