Dietary macronutrient intake according to sex and trait anxiety level among non-diabetic adults: a cross-sectional study.
Anxiety
Carbohydrates
Dietary intake
Epidemiological study
Fat
Macronutrients
Mental health
Protein
Journal
Nutrition journal
ISSN: 1475-2891
Titre abrégé: Nutr J
Pays: England
ID NLM: 101152213
Informations de publication
Date de publication:
08 09 2021
08 09 2021
Historique:
received:
05
02
2021
accepted:
24
08
2021
entrez:
9
9
2021
pubmed:
10
9
2021
medline:
30
9
2021
Statut:
epublish
Résumé
Studies suggest that anxiety is correlated with eating behavior, however, little is known about the association between anxiety status as predictor of dietary macronutrient intake. The aim of the present study was to investigate the sex-stratified cross-sectional associations of trait anxiety with intake of various macronutrients in a large population-based sample of non-diabetic adults. N = 20,231 participants (mean age = 53.7 ± 13.6 years) of the NutriNet-Santé web-cohort, who had completed the trait anxiety subscale of the Spielberger State-Trait Anxiety Inventory (T-STAI; 2013-2016) were included in the analyses. Dietary intake was calculated from at least 3 self-administered 24-h dietary records. The associations of interest were assessed by multiple linear regression stratified by sex, owing to significant interaction tests. In total, 74.3% (n = 15,033) of the sample were females who had a significantly higher mean T-STAI score than did males (39.0 versus 34.8; p < 0.01). Among females, the fully-adjusted analyses showed significant positive associations of T-STAI with total carbohydrate intake (β = 0.04; p < 0.04), complex carbohydrate intake (β = 0.05; p < 0.02), and percentage energy from carbohydrates (β = 0.01; p < 0.03), as well as a significant inverse association of T-STAI with percentage energy from fat (β = -0.01; p < 0.05). As regards males, the only significant finding was an inverse association between T-STAI and percent of the mean daily energy from protein (fully-adjusted model: β = -0.01; p = 0.05). This cross-sectional study found modest sex-specific associations between anxiety status and macronutrient intake among French non-diabetic adults. Prospective studies are needed to further elucidate the observed associations.
Sections du résumé
BACKGROUND
Studies suggest that anxiety is correlated with eating behavior, however, little is known about the association between anxiety status as predictor of dietary macronutrient intake. The aim of the present study was to investigate the sex-stratified cross-sectional associations of trait anxiety with intake of various macronutrients in a large population-based sample of non-diabetic adults.
METHODS
N = 20,231 participants (mean age = 53.7 ± 13.6 years) of the NutriNet-Santé web-cohort, who had completed the trait anxiety subscale of the Spielberger State-Trait Anxiety Inventory (T-STAI; 2013-2016) were included in the analyses. Dietary intake was calculated from at least 3 self-administered 24-h dietary records. The associations of interest were assessed by multiple linear regression stratified by sex, owing to significant interaction tests.
RESULTS
In total, 74.3% (n = 15,033) of the sample were females who had a significantly higher mean T-STAI score than did males (39.0 versus 34.8; p < 0.01). Among females, the fully-adjusted analyses showed significant positive associations of T-STAI with total carbohydrate intake (β = 0.04; p < 0.04), complex carbohydrate intake (β = 0.05; p < 0.02), and percentage energy from carbohydrates (β = 0.01; p < 0.03), as well as a significant inverse association of T-STAI with percentage energy from fat (β = -0.01; p < 0.05). As regards males, the only significant finding was an inverse association between T-STAI and percent of the mean daily energy from protein (fully-adjusted model: β = -0.01; p = 0.05).
CONCLUSION
This cross-sectional study found modest sex-specific associations between anxiety status and macronutrient intake among French non-diabetic adults. Prospective studies are needed to further elucidate the observed associations.
Identifiants
pubmed: 34496851
doi: 10.1186/s12937-021-00733-1
pii: 10.1186/s12937-021-00733-1
pmc: PMC8424616
doi:
Substances chimiques
Dietary Carbohydrates
0
Dietary Fats
0
Dietary Proteins
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
78Informations de copyright
© 2021. The Author(s).
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