Association between time-related work factors and dietary behaviors: results from the Japan Environment and Children’s Study (JECS)

Tanaka, Rie; Tsuji, Mayumi; Kusuhara, Koichi; Kawamoto, Toshihiro

doi:10.1186/s12199-018-0753-9

Cited by 20 publications

(18 citation statements)

References 19 publications

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“…Our results show that manual workers from sectors such as agriculture, manufacturing and construction had a lower consumption of fruit compared to non-manual workers such as engineers and mid-level technicians and administrators, where consumption was greater. Earlier studies consistently support this finding and confirm that manual workers consume less fruit and vegetables compared to all other occupational categories [ 9 , 33 , 36 , 37 ]. The results are similar in terms of vegetables, where a manual profession, such as construction work, has lower consumption, with greater consumption among scientific professionals and engineers.…”

Section: Discussionsupporting

confidence: 73%

“…One’s occupation also implies exposure to different working conditions which can be associated with poor dietary habits. For example, work-related stress, shift work, occupations with long working hours and frequent changes in the workplace are associated with low consumption of fruit and vegetables [ 8 , 9 ]. Factors that facilitate access to an unhealthy diet in the workplace have been shown to be important [ 10 ], perhaps because the best possible option is often fast food, or because the rhythm of work limits the time available for eating and/or choosing healthy foods [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

“…Others have focused on specific workers such as those who work night shifts, such as nurses [ 14 ], bus drivers [ 15 ], airline workers [ 16 ] and industrial workers [ 17 ]. A study by Tanaka et al showed that there were considerable differences in food consumption between different occupations in Japan [ 9 ]. Studies in Spain about dietary patterns in the working population are scarce.…”

Section: Introductionmentioning

confidence: 99%

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Differences in the Prevalence of Fruit and Vegetable Consumption in Spanish Workers

et al. 2020

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The present study aims to examine the differences in daily fruit and vegetable consumption in the working population in Spain. A cross-sectional study was conducted, using data from the 2017 National Health Survey (n = 10,700 workers aged between 18 and 65 years). The daily consumption of fruit and vegetables was evaluated using two items included in a food frequency questionnaire. Occupations were classified into the 17 main groups of the National Classification of Occupations of 2011 (CNO-11). The prevalence (P) of daily fruit and vegetable consumption was calculated in relation to sociodemographic characteristics, health behaviors, work-related characteristics and occupations. Logistic regression analysis was performed to examine the association, with simple and adjusted Odds Ratio (aOR). The P of daily consumption of fruit and vegetables in workers was 60% for fruit and 40% for vegetables. After adjusting for sociodemographic characteristics and health behaviors, workers working night or rotating shifts had a lower consumption of fruits (aOR:0.9; p < 0.05), and those working on temporary contracts had a lower consumption of vegetables (aOR:0.8; p < 0.05). Engineers, scientists, health care workers and teachers had the highest fruit consumption (74.5%) and the highest vegetable consumption (55.1%). The lowest consumption of fruits was presented by the military (42.3%) and unskilled workers in the service sector (45.8%), and the lowest consumption of vegetables was presented by skilled construction workers (25.5%). These findings could aid in workplace health promotion and could be used in future studies to evaluate the impact of the activities adopted.

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Section: Discussionsupporting

confidence: 73%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Differences in the Prevalence of Fruit and Vegetable Consumption in Spanish Workers

et al. 2020

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“…The high mortality rate among service workers in Japan deviates from this pattern, however, a trend that has been observed since the 1980s [13]. One possible explanation relates to the irregular work shifts among service workers [23]. In Japan, the opening hours of service industries such as restaurants, bars, supermarkets, and convenience stores are generally long, and stores that remain open 24 h are fairly common.…”

Section: Discussionmentioning

confidence: 98%

Mortality by occupation and industry among Japanese men in the 2015 fiscal year

Tanaka

Wada

2020

Environ Health Prev Med

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Background: Although previous studies have underscored some unique inequalities in occupational mortality in Japan, many of these trends have been dramatically altered during recent decades. We analyzed mortality data by occupation and industry in Japan, to determine whether differences remained by the mid-2010s for men in working-age population. Methods: We calculated age-standardized all-cause and cause-specific mortality, according to occupation and industry, among men aged 25-64 years in the 2015 fiscal year (1 April 2015 to 31 March 2016). Occupational and industry-specific categories were defined using the Japan Standard Occupational Classification and Japan Standard Industrial Classification, respectively. Age-standardized mortality rates were computed using 5-year age intervals. Mortality rate ratios adjusted for age and 95% confidence intervals (CIs) were estimated using Poisson regression. Cause-specific deaths were classified into four broad groups (cancers [C00-D48], cardiovascular diseases [I00-I99], external causes [V01-Y98], and all other diseases) based on the International Statistical Classification of Diseases 10th Revision (ICD-10). Results: Clear mortality differences were identified by both occupation and industry among Japanese males. Allcause mortality ranged from 53.7 (clerical workers) to 240.3 (service workers) per 100,000 population for occupation and from 54.3 (workers in education) to 1169.4 (workers in mining) for industry. In relative terms, service workers and agriculture, forestry, and fishing workers had 2.89 and 2.50 times higher all-cause mortality than sales workers. Administrative and managerial workers displayed higher mortality risk (1.86; 95% CI 1.76-1.97) than sales workers. Similar patterns of broad cause-specific mortality inequality were identified in terms of both absolute and relative measures, and all broad cause-specific deaths contributed to the differences in mortality by occupation and industry. Conclusions: Substantial differences in mortality among Japanese male workers, according to occupation and industry, were still present in 2015.

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“…The underlying mechanism might be changes in lifestyle factors including dietary pattern, sleep time, and physical activity. Firstly, it has been suggested that long working hours are positively linked to poor dietary behaviours, including skipping breakfast, eating out, eating instant food, overeating, and fast eating . These unhealthy eating habits are recognized as factors in the development of weight gain and obesity .…”

Section: Discussionmentioning

confidence: 99%

Are long working hours associated with weight‐related outcomes? A meta‐analysis of observational studies

et al. 2019

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The relationship between long working hours and body weight outcomes remains inconclusive; thus, we conducted a meta-analysis to assess the effect of long working hours on weight-related outcomes. PubMed and Embase databases were searched from their inception to June 2019. A random-effects model was used to assess the pooled odds ratio (OR) and corresponding confidence interval (CI). Subgroup analyses and sensitivity analyses were conducted to explore sources of heterogeneity. Publication bias was evaluated by the Begg's and Egger's tests. A total of 29 articles involving 374 863 participants were included. The pooled OR of long working hours on weightrelated outcomes was 1.13 (95% CI, 1.07-1.19). In subgroup analysis stratified by definition of outcomes, the pooled ORs of long working hours on "weight gain/BMI increase," "BMI ≥ 25 kg/m 2 ," and "BMI ≥ 30 kg/m 2 " were 1.19 (95% CI, 1.02-1.40), 1.07 (95% CI, 1.00-1.14), and 1.23 (95% CI, 1.09-1.39), respectively. We found evidence of publication bias, but correction for this bias using the trim-and-fill method did not alter the combined OR substantially. There was evidence to suggest that long working hours are associated with adverse weight-related outcomes. Preventative interventions such as improved flexibility and healthy working schedules should be established for employees.

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Association between time-related work factors and dietary behaviors: results from the Japan Environment and Children’s Study (JECS)

Cited by 20 publications

References 19 publications

Differences in the Prevalence of Fruit and Vegetable Consumption in Spanish Workers

Differences in the Prevalence of Fruit and Vegetable Consumption in Spanish Workers

Mortality by occupation and industry among Japanese men in the 2015 fiscal year

Are long working hours associated with weight‐related outcomes? A meta‐analysis of observational studies

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