Associations of socioeconomic status indicators and migrant status with risk of a low vegetable and fruit consumption in children.
CI, Confidence interval
Child
Food consumption
Fruit
IQR, Interquartile range
MOR, Median odds ratio
NSES, Neighbourhood socioeconomic status
Netherlands
OR, Odds ratio
SES, Socioeconomic Status
Socioeconomic status
VIF, Variance inflation factor
Vegetables
Journal
SSM - population health
ISSN: 2352-8273
Titre abrégé: SSM Popul Health
Pays: England
ID NLM: 101678841
Informations de publication
Date de publication:
Mar 2022
Mar 2022
Historique:
received:
01
11
2021
revised:
18
12
2021
accepted:
30
01
2022
entrez:
24
2
2022
pubmed:
25
2
2022
medline:
25
2
2022
Statut:
epublish
Résumé
It is important to provide insight in potential target groups for interventions to reduce socioeconomic inequalities in children's vegetable/fruit consumption. In earlier studies often single indicators of socioeconomic status (SES) or migrant status have been used. However, SES is a multidimensional concept and different indicators may measure different SES dimensions. Our objective is to explore multiple associations of SES indicators and migrant status with risk of a low vegetable/fruit consumption in a large multi-ethnic and socioeconomically diverse sample of children. We included 5,010 parents of 4- to 12-year-olds from a Dutch public health survey administered in 2018. Cross-sectional associations of parental education, material deprivation, perceived financial difficulties, neighbourhood socioeconomic status (NSES) and migrant status with low (≤4 days a week) vegetable and fruit consumption in children were assessed using multilevel multivariable logistic regression models. Results are displayed as odds ratios (OR) with 95% confidence intervals (CI). Of the 4- to 12-year-olds, 22.1% had a low vegetable consumption and 11.9% a low fruit consumption. Low (OR 2.51; 95%CI: 2.05, 3.07) and intermediate (OR 1.83; 95%CI: 1.54, 2.17) parental education, material deprivation (OR 1.45; 95%CI: 1.19, 1.76), low NSES (OR 1.28; 95%CI: 1.04, 1.58) and a non-Western migrant status (OR 1.94; 95%CI: 1.66, 2.26) were associated with a higher risk of a low vegetable consumption. Low (OR 1.68; 95%CI: 1.31, 2.17) and intermediate (OR 1.39; 95%CI: 1.12, 1.72) parental education and material deprivation (OR 1.63; 95%CI: 11.27, 2.08) were also associated with a higher risk of a low fruit consumption. Our findings indicate associations of multiple SES indicators and migrant status with a higher risk of a low vegetable/fruit consumption in children and thus help to identify potential target groups.
Sections du résumé
BACKGROUND
BACKGROUND
It is important to provide insight in potential target groups for interventions to reduce socioeconomic inequalities in children's vegetable/fruit consumption. In earlier studies often single indicators of socioeconomic status (SES) or migrant status have been used. However, SES is a multidimensional concept and different indicators may measure different SES dimensions. Our objective is to explore multiple associations of SES indicators and migrant status with risk of a low vegetable/fruit consumption in a large multi-ethnic and socioeconomically diverse sample of children.
METHODS
METHODS
We included 5,010 parents of 4- to 12-year-olds from a Dutch public health survey administered in 2018. Cross-sectional associations of parental education, material deprivation, perceived financial difficulties, neighbourhood socioeconomic status (NSES) and migrant status with low (≤4 days a week) vegetable and fruit consumption in children were assessed using multilevel multivariable logistic regression models. Results are displayed as odds ratios (OR) with 95% confidence intervals (CI).
RESULTS
RESULTS
Of the 4- to 12-year-olds, 22.1% had a low vegetable consumption and 11.9% a low fruit consumption. Low (OR 2.51; 95%CI: 2.05, 3.07) and intermediate (OR 1.83; 95%CI: 1.54, 2.17) parental education, material deprivation (OR 1.45; 95%CI: 1.19, 1.76), low NSES (OR 1.28; 95%CI: 1.04, 1.58) and a non-Western migrant status (OR 1.94; 95%CI: 1.66, 2.26) were associated with a higher risk of a low vegetable consumption. Low (OR 1.68; 95%CI: 1.31, 2.17) and intermediate (OR 1.39; 95%CI: 1.12, 1.72) parental education and material deprivation (OR 1.63; 95%CI: 11.27, 2.08) were also associated with a higher risk of a low fruit consumption.
CONCLUSION
CONCLUSIONS
Our findings indicate associations of multiple SES indicators and migrant status with a higher risk of a low vegetable/fruit consumption in children and thus help to identify potential target groups.
Identifiants
pubmed: 35198723
doi: 10.1016/j.ssmph.2022.101039
pii: S2352-8273(22)00018-0
pmc: PMC8841774
doi:
Types de publication
Journal Article
Langues
eng
Pagination
101039Informations de copyright
© 2022 The Authors.
Déclaration de conflit d'intérêts
None declared.
Références
Int J Behav Nutr Phys Act. 2020 Mar 20;17(1):43
pubmed: 32197651
J Acad Nutr Diet. 2018 Sep;118(9):1634-1643.e1
pubmed: 29482964
Int J Behav Nutr Phys Act. 2014 Sep 12;11:113
pubmed: 25212228
Int J Behav Nutr Phys Act. 2006 Aug 11;3:22
pubmed: 16904006
Int J Epidemiol. 2015 Apr;44(2):451-61
pubmed: 25948659
J Epidemiol Community Health. 2005 Jan;59(1):6-14
pubmed: 15598720
PLoS One. 2018 Mar 14;13(3):e0191612
pubmed: 29538383
JAMA. 2005 Dec 14;294(22):2879-88
pubmed: 16352796
Can J Public Health. 2018 Jan 22;108(5-6):e497-e502
pubmed: 29356655
Health Educ Behav. 2012 Jun;39(3):364-72
pubmed: 22267868
Am J Public Health. 2007 Feb;97(2):367-72
pubmed: 17138914
Nutrients. 2019 Oct 31;11(11):
pubmed: 31683601
Public Health Nutr. 2009 Aug;12(8):1213-23
pubmed: 18940029
Health Place. 2015 May;33:142-7
pubmed: 25841285
Am J Epidemiol. 2005 Jul 15;162(2):171-82
pubmed: 15972939
Ann Nutr Metab. 2005 Jul-Aug;49(4):236-45
pubmed: 16088087
Int J Environ Res Public Health. 2018 Mar 28;15(4):
pubmed: 29597308
Appetite. 2010 Feb;54(1):44-51
pubmed: 19751782
Eur J Clin Nutr. 2012 Feb;66(2):276-8
pubmed: 21952694
Soc Sci Med. 2021 Jan;269:113522
pubmed: 33339682
Appetite. 2012 Feb;58(1):364-72
pubmed: 22094182
Public Health Nutr. 2013 Jan;16(1):2-7
pubmed: 22475520
Public Health Nutr. 2020 Aug;23(12):2132-2144
pubmed: 32375916
Int J Behav Nutr Phys Act. 2016 Jul 28;13:85
pubmed: 27465354
Int J Epidemiol. 2017 Jun 1;46(3):1029-1056
pubmed: 28338764
BMC Public Health. 2013 May 10;13:458
pubmed: 23663279
Obes Rev. 2014 May;15(5):375-91
pubmed: 24433310
Int J Behav Nutr Phys Act. 2010 Mar 23;7:23
pubmed: 20331900
Public Health Nutr. 2019 Aug;22(11):1917-1919
pubmed: 31187727
Public Health Nutr. 2014 Nov;17(11):2436-44
pubmed: 25023091
Lancet Public Health. 2018 Aug;3(8):e365-e373
pubmed: 30030110
Health Place. 2002 Jun;8(2):141-5
pubmed: 11943585
Public Health Nutr. 2007 Dec;10(12):1464-73
pubmed: 17764603
J Acad Nutr Diet. 2016 Mar;116(3):439-448
pubmed: 26433453
Br J Nutr. 2015 Feb 14;113(3):517-25
pubmed: 25563904
Am J Epidemiol. 2013 Feb 15;177(4):292-8
pubmed: 23371353
J Am Diet Assoc. 2002 Aug;102(8):1105-18
pubmed: 12171455
J Nutr Educ Behav. 2007 Jan-Feb;39(1):26-30
pubmed: 17276324