Employment status and temporal patterns of energy intake: Nutrition and Health Survey in Taiwan, 2005–2008

Chau, Chun An; Pan, Wen Harn; Chen, Hsin-Jen

doi:10.1017/s1368980017002476

Cited by 10 publications

(5 citation statements)

References 44 publications

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“…In a small study based on 16-d dietary record, the Japanese eating pattern was, on average, characterised by small snacks (11 % of total energy intake), as well as relatively large three main meals (percentage of total energy intake: 21 % for breakfast, 32 % for lunch and 40 % for dinner) (32) . A similar eating pattern (three main meals, with infrequent snacks particularly at night) was also observed in a representative sample of Taiwanese adults (33) . It would be of interest to clarify if this eating pattern is prevalent in East Asian countries with similar social and cultural backgrounds.…”

Section: Discussionsupporting

confidence: 73%

Eating patterns in a nationwide sample of Japanese aged 1–79 years from MINNADE study: eating frequency, clock time for eating, time spent on eating and variability of eating patterns

Murakami

Livingstone

Masayasu³

et al. 2021

Public Health Nutr.

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Objective: Although there is growing evidence suggesting that eating patterns are important determinants of health status, comprehensive information on patterning of eating behaviors is almost lacking. The aim of this cross-sectional study was to describe eating patterns in Japan. Design: Information on actual eating behaviors was collected using 2-d dietary record in each season over a year (total 8 d). Eating occasions were defined as any discrete intake occasion (with a discrete start clock time and name) except for eating occasions consisting of water only, which were excluded. Setting: Japan. Participants: A nationwide sample of 4032 Japanese aged 1-79 y. Results: The mean value of eating frequency of meals (i.e., breakfast, lunch, and dinner), snacks, and total eating occasions was 2.94, 1.74, and 4.68 times/d, respectively. The mean clock time for the start of breakfast, lunch, and dinner was 7:24, 12:29, and 19:15 h, respectively. The mean time spent consuming breakfast, lunch, dinner, and snacks was 19, 25, 34, and 27 min/d, respectively. On average, variability (i.e., average of absolute difference from mean) of meal frequency was small compared with that of snack frequency and total eating frequency. Both mean variability of clock time for the start of eating (<1 h) and mean variability of time spent on meals (<10 min/d) were also small. Conversely, mean variability of time spent on snacks was large (>18 min/d). Conclusion: The present findings serve as both a reference and an indication for future research on patterning of eating behaviors.

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Section: Discussionsupporting

confidence: 73%

Eating patterns in a nationwide sample of Japanese aged 1–79 years from MINNADE study: eating frequency, clock time for eating, time spent on eating and variability of eating patterns

Murakami

Livingstone

Masayasu³

et al. 2021

Public Health Nutr.

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“…Although the various markers of well-being level (education, income, professional status) are correlated, they measure different phenomena and do not replace each other as indicators of a hypothetical latent social dimension [64]. In addition, numerous studies have indicated a complex relationship between employment and eating habits, associated, for example, with strategies for coping with work stress [65] as well as with heterogeneous lifestyles in strata by employment and occupational classes [66,67].…”

Section: Discussionmentioning

confidence: 99%

Sociodemographic and Regional Determinants of Dietary Patterns in Russia

Maksimov

Карамнова

Шальнова

et al. 2020

IJERPH

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An empirical assessment of diets using a posteriori analysis allows us to define actual dietary patterns (DPs) in the food consumption structure of a population. This study represents an a posteriori assessment of DPs for the Russian population in general as well as their dependence on socio-demographic and regional parameters. The data were obtained from 21,923 individuals aged 25–64 years old from a Russian multicenter study of “Epidemiology of Cardiovascular Diseases in the Regions of the Russian Federation” conducted in 2013–2014. Cross-sectional study subjects were interviewed face-to-face in order to obtain data on their diet. DPs were defined using principal component analysis. Four DPs were specified as “Rational”, “Salt”, “Meat”, and “Mixed”; all these variants together accounted for 55.9% of variance. Diets in gender and age groups corresponded to those for an all-Russian population; in several regions, the defined diets differed from the all-Russian ones. More favorable diet trends were observed among women, people with no family, people not working, and urban dwellers, and diet trends were more favorable with an increase in age, level of education, and material wealth. Thus, a posteriori DPs were defined for the Russian population, which were stable in sex/age groups and were mediated by the socio-demographic characteristics of the population.

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“…Employment status and working environment can affect dietary patterns (Chau et al, 2017). However, to our knowledge, the effect of WFH on dietary patterns is largely unknown.…”

Section: Introductionmentioning

confidence: 99%

Working from Home and Dietary Changes during the COVID-19 Pandemic: A Longitudinal Study of Health App (CALO Mama) Users

et al. 2020

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Employment status and temporal patterns of energy intake: Nutrition and Health Survey in Taiwan, 2005–2008

Abstract: Adults' temporal patterns of energy intake, which varied with their employment status, affected their dietary quality.

Cited by 10 publications

References 44 publications

Eating patterns in a nationwide sample of Japanese aged 1–79 years from MINNADE study: eating frequency, clock time for eating, time spent on eating and variability of eating patterns

Eating patterns in a nationwide sample of Japanese aged 1–79 years from MINNADE study: eating frequency, clock time for eating, time spent on eating and variability of eating patterns

Sociodemographic and Regional Determinants of Dietary Patterns in Russia

Working from Home and Dietary Changes during the COVID-19 Pandemic: A Longitudinal Study of Health App (CALO Mama) Users

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