Journal List > Korean J Community Nutr > v.21(2) > 1038536

Woo, Lee, Lee, Lee, and Lee: Gender Differences in Adolescents' Dietary Perceptions and Practices

Abstract

Objectives

This study attempted to compare adolescents' dietary behaviors and perceptions by gender in order to recommend useful strategies for nutrition interventions.

Methods

Subjects were 2,363 middle school (MS) and high school (HS) students. They completed a self-administered questionnaire on their interest in diet and health, dietary perceptions, nutrition knowledge, dietary practices, and dietary environment at home. Data were analyzed using t-test, χ2-test, and simple regression analysis by gender and by school groups.

Results

Overall, girls obtained higher scores than boys did for "interest" (MS: p<0.001; HS: p<0.01), "dietary perceptions" (MS: p<0.001; HS: p<0.01), and "knowledge" (MS: p<0.01; HS: p<0.001). Regarding "dietary practices," no gender differences were observed among MS students, however, among HS students, boys obtained higher scores-reflecting good practices-than girls did (p<0.01). In all subjects, dietary environment at home was strongly associated with dietary practice than other variables (MS boys: β=0.435, p<0.001; MS girls: β=0.492, p<0.001, HS boys: β=0.271, p<0.001; HS girls: β=0.429, p<0.001).

Conclusions

We observed gender differences in some of the variables such as knowledge and perception among adolescent students. Educational programs and core strategies that consider these gender differences need to be developed. Specifically, for girls, educational programs should focus on facilitating dietary recommendation adherence, whereas for boys, the program could focus on improving dietary knowledge and perceptions.

Figures and Tables

Table 1

Comparison of interest in diet and health between the groups (n=2,353)

kjcn-21-165-i001

1) Mean±SD (5 likert scale: '1' never through '5' very much)

*: p<0.05, **: p<0.01, ***: p<0.001 by t-test

Table 2

Comparison of perception on dietary education between the school groups (n=2,353)

kjcn-21-165-i002

1) N (%)

2) Multiple response

*: p<0.05, **: p<0.01, ***: p<0.001 by χ2-test

Table 3

Comparison of dietary perception between the groups (n=2,353)

kjcn-21-165-i003

※: The item was scored inversely

1) Mean±SD (5 likert scale: '1' strongly disagree through '5' strongly agree)

*: P<0.05, **: P<0.01, ***: P<0.001 by t-test

Table 4

Comparison of nutrition knowledge between the groups (n=2,353)

kjcn-21-165-i004

1) Mean±SD (Total score: 15, 1-right, 0-wrong), *: P<0.05, **: P<0.01, ***: P<0.001 by t-test

Table 5

Comparison of dietary practices between the groups (n=2,353)

kjcn-21-165-i005

1) Mean±SD(5 likert scale: '1' strongly disagree through '5' strongly agree), *: P<0.05, **: P<0.01, ***: P<0.001 by t-test

Table 6

Comparison of dietary environment at home between the groups (n=2,353)

kjcn-21-165-i006

1) N (%)

2) The variables were regrouped together as dietary environment at home in regression analysis. Each item was scored using 5 likert scale ('1' not at all through '5' always).

*: P<0.05, **: P<0.01, ***: P<0.001 by χ2-test

Table 7

Regression analysis between dietary practices and related variables (n=2,353)

kjcn-21-165-i007

Dependent variable: dietary Practice

1) Environment (breakfast frequency, availability of vegetables, availability of fruits and milk)

Acknowledgments

This research was supported by a grant from the Ministry of Food and Drug Safety (14162MFDS130).

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Kyung-Hea Lee
https://orcid.org/http://orcid.org/0000-0003-0444-4824

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