Computational protocol: Effects of eating dinner alone on overweight in Japanese adolescents: a cross-sectional survey

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Protocol publication

[…] The unpaired t-test or chi-squared test was used to compare the characteristics between boys and girls. In the analysis stratified by sex, a logistic regression model was used to examine the relationship between eating dinner alone and being overweight. Because the proportions of overweight boys and girls who either ate alone ≥3 times/week and 1–2 times/week were small, we combined these categories into a single category (eating dinner alone ≥1 time/week) and used propensity score adjustment in the model. The propensity score is the conditional probability of being exposed given the observed covariates [, ], and propensity score adjustment preserves statistical power by reducing covariates into a single variable []. In this study, the observed covariates were age, being an only child, paternal employment, maternal employment, sports teams’ participation, skipping breakfast, dinner time, snacking after dinner, eating speed, and eating until full, which have been reported to related to being overweight [, ]. In the model, crude odds ratios (ORs) and 95% confidence intervals (CIs) for being overweight were first estimated and subsequently adjusted for the propensity score. In this study, P <  0.05 was considered statistically significant. All data were analyzed using SPSS 20.0 J (IBM, Chicago, Illinois, USA) and JMP Pro 13 (SAS Institute Inc., Cary, North Carolina, USA). […]

Pipeline specifications

Software tools SPSS, JMP Pro
Application Miscellaneous
Organisms Homo sapiens