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Self-reported rate of eating and prevalence of obesity among children in the great east Japan earthquake affected prefecture

Published online by Cambridge University Press:  05 October 2018

A. Nishide
Affiliation:
International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
H. Matsubara
Affiliation:
Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
M. Nagai
Affiliation:
Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
S. Kure
Affiliation:
Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan Department of Pediatrics, Graduate School of Medicine, Tohoku University, Sendai, Japan.
S. Kuriyama
Affiliation:
International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
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Abstract

Type
Abstract
Copyright
Copyright © The Authors 2018 

An immediate weight gain among children in the great east Japan earthquake affected prefectures, that could presume due to the change of eating behaviour after the earthquake, was reported(Reference Matsubara, Ishikuro and Kikuya1). Eating behaviour, such as eating quickly, has been advised for weight management. Slower eating might allow satiation to register before having too much food(Reference Viskaal-van, Kok and de Graaf2). Several previous observation studies(Reference Murakami, Miyake and Sasaki3, Reference Okubo, Miyake and Sasaki4) have shown the association between eating speed and prevalence of obesity in Japanese children using the data of children in where was not affected by the disaster. Thus, the aim of this study was to investigate whether the association between eating speed and prevalence of obesity might presence among children in the affected area.

We conducted a cross-sectional study using the baseline data of cluster randomization trial involving one affected primary school, which was defined by the location where has over 5 % of fatality rate by the disaster(Reference Tani5), and five non-affected school in the city of Miyagi prefecture. Brief self- administered diet history questionnaire was distributed to the parents of all six school children in first grade to fifth grade aged 6 yr to 11 yr on August 29th, 2017 (n = 1397). Study participants were 403 children whose parents returned the questionnaires (response rate: 28·8 %). Of these, we analysed 402 children after excluding child who answered “unknown” for its eating speed. Eating speed was defined as item (“How fast is your rate of eating?”) of which answers were chosen from five qualitative categories, which were divided into three categories as fast (very fast or fast), moderate (moderate), and slow (slow or very slow). Obesity was defined as obesity index; (real weight – standard weight)/standard weight × 100, more than 20 %(Reference Ikiuo, Hashimoto and Murata6). We used logistic regression analysis to estimate multivariate adjusted odds ratio (OR), 95 % confidence interval (CI) for prevalence of obesity in each eating speed category, with the moderate in non-affected used as a reference.

Table 1. Odds ratios (ORs) and 95 % confidence intervals (CIs) of obesity by three categories of eating speed.

*Adjustment for age, sex

Compared with moderate speed of eating in non-affected, “fast” was significantly associated with a higher prevalence of obesity in both affected and non-affected school (p = 0·009, p = 0·003). Odds ratio of fast in affected was slightly higher than this in non-affected, but not huge different. This study has limitations that we did not actually observe the eating speed and anthropometry, because these data were obtained from self-administered questionnaires. Although this limitation, the results could be interpreted the association between rate of eating and prevalence of obesity among children in affected school might not be effected by the disaster. To determine the factors to associate with an immediate weight gain among children after the disaster, further studies with an assessment at immediately after disaster was needed.

References

1.Matsubara, H, Ishikuro, M, Kikuya, M et al. (2016) Journal epidemiol 26(2), 98104.Google Scholar
2.Viskaal-van, DM, Kok, FJ & de Graaf, C (2011) Appetite 56(1), 2531.Google Scholar
3.Murakami, K, Miyake, Y, Sasaki, S et al. (2012) J Nutr Sci Vitaminol 58(4), 247252.Google Scholar
4.Okubo, H, Miyake, Y, Sasaki, S et al. (2017) Nutr Res 37, 2028.Google Scholar
5.Tani, K (2012) Saitama University Department Geography occasional paper 32, 126. (in Japanese).Google Scholar
6.Ikiuo, K, Hashimoto, R & Murata, M (2010) J child health 69, 613. (in Japanese).Google Scholar
Figure 0

Table 1. Odds ratios (ORs) and 95 % confidence intervals (CIs) of obesity by three categories of eating speed.