2019
DOI: 10.1186/s12889-019-7182-6
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Educational level as a predictor of the incidences of non-communicable diseases among middle-aged Japanese: a hazards-model analysis

Abstract: Background It is well known that there are educational inequalities in incidences of non-communicable diseases (NCDs). Unlike most preceding studies, this study examined this issue using a hazards model analysis, with specific reference to the potential mediating effects of socioeconomic status (SES), other than educational level, and health behaviour as well as gender differences. Methods Data were obtained from a 12-wave longitudinal nationwide survey conducted from 2… Show more

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Cited by 49 publications
(51 citation statements)
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“…Indeed, their acquired habit of reasoning and logical managing ability would allow them to better cope with emergencies than people with lower educational levels [ 40 ]. In addition, our data are consistent with the assumption that a high educational level is a predictive factor for the incidence of non-communicable diseases, with limited mediating effects from socioeconomic status and healthy behavior [ 41 ]. A high educational level was reported to improve COVID-19 knowledge among Chinese and to be associated with having a positive attitude and adopting appropriate practices [ 42 ].…”
Section: Discussionsupporting
confidence: 88%
“…Indeed, their acquired habit of reasoning and logical managing ability would allow them to better cope with emergencies than people with lower educational levels [ 40 ]. In addition, our data are consistent with the assumption that a high educational level is a predictive factor for the incidence of non-communicable diseases, with limited mediating effects from socioeconomic status and healthy behavior [ 41 ]. A high educational level was reported to improve COVID-19 knowledge among Chinese and to be associated with having a positive attitude and adopting appropriate practices [ 42 ].…”
Section: Discussionsupporting
confidence: 88%
“…All of these factors have been Open access found to be associated with undergoing therapy for the target diseases in the previous studies. [22][23][24][25][26][27][28] The location of residence was classified into a large city, a medium-sized or a small city and the countryside. To describe household expenditure, the logarithm of the total household expenditure in May of the survey year was used.…”
Section: Measurementsmentioning
confidence: 99%
“…For the independent variables, standard behavioral healthcare models [26]suggest measures impacting healthcare utilization and hospital expenses,such as the ability to deliver healthcare, geographical accessibility of health services,enabling factors facilitating healthcare-seeking and economic factors [27][28][29][30]. In our study, the ability to deliver healthcare contains two aspects:…”
Section: Main Indicators and Multiple Linear Regressionmentioning
confidence: 99%