2017
DOI: 10.1539/joh.16-0247-oa
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Relationship between amount of overtime work and untreated decayed teeth in male financial workers in Japan

Abstract: Objective: Continuous or frequent overtime work has been shown to have harmful effects on human health. Meanwhile, one of the main reasons for tooth loss is caries. The aim of this study was to assess the relationship between overtime work and untreated decayed teeth in male financial workers.Methods: The participants were recruited by applying screening procedures to a pool of Japanese registrants in an online database. Participants filled out a questionnaire about their oral health, behavior, and working con… Show more

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Cited by 17 publications
(19 citation statements)
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“…It is also conceivable that the relationship between lifestyle and treatment interruption may be confounded by socioeconomic status. Our findings also suggest that increased commute times and overtime work may reduce workers’ free time and hinder them from seeking medical attention, which is consistent with the findings of a previous study 23,24 .…”
Section: Discussionsupporting
confidence: 92%
“…It is also conceivable that the relationship between lifestyle and treatment interruption may be confounded by socioeconomic status. Our findings also suggest that increased commute times and overtime work may reduce workers’ free time and hinder them from seeking medical attention, which is consistent with the findings of a previous study 23,24 .…”
Section: Discussionsupporting
confidence: 92%
“…This study has other limitations as well. First, the sociological factors were not recorded, which could have an influence on dental caries and MetS (29)(30)(31). Second, the present study was a cross-sectional study, so causal relationships could not be detected or implied.…”
Section: Discussionmentioning
confidence: 91%
“…All participants underwent a mandatory general health examination. Body weight and height were measured to calculate body mass index (BMI), which was categorized as <25 or ≥25 kg/m 2 [24]. In addition, the participants provided answers regarding their age, gender, and other lifestyle-related factors, including job type (office or skilled worker), smoking status (current, never, or former), daily alcohol drinking (yes or no), daily sleep duration (≥6 or <6 h) [25], and amount of overtime work (≥40 or <40 h/month) [26].…”
Section: Methodsmentioning
confidence: 99%