The change in lifestyle data during 9 years: the reliability and continuity of baseline health practices

Hanayo Koetaka,Yuko Ohno,Kanehisa Morimoto

doi:10.1007/s12199-012-0324-4

Abstract

To reveal change patterns in self-reported lifestyle data for 9years, and examine the characteristics of changes by type of lifestyle and ageing. The authors used the lifestyle data of 7,080 male workers aged 20-59 who received checkups for 9years. The proportions of change patterns during the 9years were determined in seven health practices; smoking, eating breakfast, sleeping hours, working hours, physical exercise, eating nutritional balanced diets, and mental stress. Among seven health practices, the keep rate of good health practice was highest for the non-smoking (90.8%), followed by eating breakfast (69.0%);and the lowest was physical exercise (13.7%). The keep rate of poor health practice was highest for smoking (73.8%), followed by non-physical exercise (67.1%). The lowest rate of multiple changes during 10years was smoking (7.1%); the highest was mental stress (68.5%). As for the life style on smoking and eating breakfast seemed to be stable, using the data obtained at a specific point in time wouldn't much affect the results. On the contrary, for other life styles, they showed poor continuity during 9years, so it would be necessary to take into consideration the time point of data collection.

Highlights

When using baseline information to estimate the relative risk of mortality or incidence of a disease, the baseline information usually remains fixed during the study period [1]
Among seven health practices, the keep rate of good health practice was highest for the non-smoking (90.8 %), followed by eating breakfast (69.0 %);and the lowest was physical exercise (13.7 %)
The keep rate of poor health practice was highest for smoking (73.8 %), followed by non-physical exercise (67.1 %)

Summary

Introduction

When using baseline information to estimate the relative risk of mortality or incidence of a disease, the baseline information usually remains fixed during the study period [1]. Attributes such as sex and age necessarily continue during the study period, but it is difficult to think that lifestyle data obtained at baseline will continue during the study period for all the subjects [1, 2]. If exposure data obtained at baseline changed over time, the estimates of relative risk may be binned by inappropriate information of exposure [1, 2]. We examine particular characteristics of the changes due to ageing and the type of lifestyle

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Conclusion