Abstract

This study aimed to investigate the relationship between meal frequency and obesity in Chinese adults aged 18 to 59 years. The data came from the 2015 Chinese Adult Chronic Disease and Nutrition Surveillance (CACDNS 2015) and provincial dietary environment data from the 2015 National Statistical Yearbook. A total of 34,206 adults aged 18 to 59 who took part in the diet survey were selected as the study participants. A two-level multivariate logistic regression model was used to adjust for the socioeconomic and nutritional status of individuals. For parameter estimation, a numerical integral approach was used to analyze the relationship between meal frequency (including meals at home, the workplace or school dining halls, and eating away from home) and obesity. A two-level “provincial–individual” logistic multivariate regression analysis was performed with obesity as the dependent variable. The two-level multivariate analysis of variance model fitting results showed that after adjusting for the effects of gender, age, occupation, education, marital status, family per capita annual income, provincial gross domestic product (GDP), restaurant industry turnover, consumer price index of EAFH food, and energy intake, the frequency of eating at home was not associated with obesity (all p > 0.05); the frequency of eating at dining halls ≥1 to <2 times per day (OR = 0.784, p = 0.0122) showed a negative association with obesity; the frequency of eating away from home < 1 times per day and ≥1 to <2 times per day were positively correlated with obesity (<1 time per day: OR = 1.123, p = 0.0419; ≥1 to <2 times per day: OR = 1.249, p = 0.0022). The results of the two-level random-intercept logistic multivariate mixed-effects prediction model for obesity in adults aged 18 to 59 years showed that no statistical association was noticed between the frequency of eating at home and obesity in adults aged 18 to 59 years. However, adults who ate out < 1 time and ≥1 to <2 times a day showed higher risks of obesity than those who did not eat out, with OR = 1.131 (95% CI 1.012–1.264) and OR = 1.258 (95% CI 1.099–1.440), while adults who ate at school and workplace dining halls ≥1 to <2 times a day may have a reduced risk of obesity, with OR = 0.790 (95% CI 0.656–0.951). This result could not be found based on the definition of eating out in previous studies. Therefore, it is recommended to exclude nonprofit collective canteens such as school and workplace dining halls from the definition of eating away from home, and to redefine eating out in terms of health effects. At the same time, it is also recommended to strengthen collective nutritional interventions around canteens, improve the nutritious meal system in school and workplace canteens, and create healthy canteens.

Highlights

  • According to the National Bureau of Statistics, China’s gross domestic product (GDP)exceeded $15 trillion ($14.725 trillion) for the first time in 2020

  • After adjusting for gender, age, marital level, employment, education level, per capita annual household income, provincial GDP, catering industry turnover, food consumption price index for eating out, and energy intake, the frequency of eating at home was not associated with obesity

  • The results showed that the frequency of EAFH was a risk factor for obesity, while the frequency of eating at school and workplace dining halls was a protective factor, and the frequency of eating at home was not associated with obesity

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Summary

Introduction

According to the National Bureau of Statistics, China’s gross domestic product (GDP)exceeded $15 trillion ($14.725 trillion) for the first time in 2020. According to the National Bureau of Statistics, China’s gross domestic product (GDP). As China’s economy has diversified and consumers have become more focused on convenience and speed, the catering industry and takeaway market have experienced explosive growth in recent years [1]. During the COVID-19 epidemic, many branded catering industries and food markets have adopted contactless distribution methods to eliminate the risks of uncertainty associated with potential safety hazards and infection fears by diversifying sales channels by increasing takeout options and providing consumers with better services and maximum convenience [3]. The proportion of eating out in China but all over the world has shown a substantial increase. According to the NHANES, the proportion of American adults eating out from 2005 to 2014 was about

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