• Survey Research
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• v.9 no.1
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• pp.43-68
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• 2008

This study compares two instruments for time use study: The time diary and the Experience Sampling Method (ESM), While previous studies show that the ESM and the full-diary are similar with respect to aggregate estimates, No previous study has examined the concordance rates of individual records from both instruments. Based on the subsamples who completed both instruments during the same time period from 500 family studies conducted by the Alfred P. Sloan Center on Parents, Children, and Work at the University of Chicago, we systematically compares the two instruments and evaluates their relative strengths. The results suggest that time diaries provide less biased time use estimates. and that compared to the time diary, the ESM provides a more detailed description of everyday life. The implications of further researches are discussed.

• Korean Journal of Community Nutrition
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• v.22 no.6
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• pp.529-542
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• 2017

Objectives: The purpose of this study was to compare the physical activity level (PAL), the physical activity pattern and the energy expenditure in male and female elementary school soccer players using the accelerometer and the physical activity diary. Methods: Twenty-five (male 11, female 14) elementary school soccer players (9-12 years) participated in this study. During their daily activities, they wore an accelerometer for seven days (five weekdays and two weekend days) and completed the physical activity diary for three days (two weekdays and one weekend day). PAL was calculated by using the physical activity diary and three equations (Pate Preschool, Freedson Children, and Freedson) were used to calculate the intensity of physical activity and energy expenditure from the counts of accelerometer. Results: The average of physical activity by day of the week, CPM (Counts Per Minute) and METs (Metabolic Equivalents) were significantly higher in males ($723.3{\pm}149.2CPM$, $2.07{\pm}0.18METs$) compared to females ($505.6{\pm}119.9CPM$, $1.79{\pm}0.20METs$), but there was no significant difference in PAEE (Physical Activity Energy Expenditure) between the two groups (males: $15.5{\pm}9.1kcal/day$, females: $11.5{\pm}6.0kcal/day$). During weekdays, physical activity intensity was significantly higher in males compared to females at lunch time and training time than at other times. In both genders, the PAL was higher during weekdays (males 1.98, females 1.89) compared to weekend (males 1.62, females 1.61) (p<0.05). Conclusions: Our study observations suggest the necessity to develop an accelerometer equation for accurately evaluating the physical activity of elementary school athletes.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.339-341
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• 2012

This paper presents a method for generating an autonomous activity-based diary in the environment including a personal computer (PC). In order to record a user's various tasks in front of a PC, we consider the contextual information such as current time, opened programs, and user interactions. As one modality for the user interaction, a motion sensor was applied to recognize a user's hand gestures in case that the activity is conducted without interaction between the user and the PC. Moreover, we propose a temporal clustering method to recapitulate the sequential and meaningful activity in the stream of extracted PC usage logs. By combining those two processes, we summarize the user activities in the PC environment.

• Journal of the Korean Home Economics Association
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• v.46 no.1
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• pp.103-116
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• 2008

The purpose of this study was to empirically describe the everyday life of middle-aged adults in terms of their time-use activities. From the original '2004 Time dairy' Data, developed by the Korean National Statistical Office (KNOS), 17,684 respondents aged between 35-59 were selected. In order to categorize their activity patterns, work/labour, domestic labour, and spare leisure time were classified according to the action classification system. As a result, four dominant types were found: namely work-leisure, work-oriented, family-oriented, and leisure-oriented activities. Results of multinomial logistic analysis revealed that gender, age, socioeconomic status, job characteristic, and family structure were the major determinants on time-use. Compared with work-leisure, young middle aged women holding a part-time job with less income tended to be involved in a family-centered time use. Dual earners with lower SES status were likely to have work-oriented time schedules. Older men with relatively lower income were more likely to be involved in leisure-oriented activities rather than work-leisure activities. Multitasking behavior was a significant variable in explaining the four different types of time-use. Work-oriented group showed the highest level of time pressure as well as fatigue. Group differences in these measures, however, was not as large as expected.

• Journal of Environmental Health Sciences
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• v.42 no.5
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• pp.314-323
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• 2016

Objectives: Time location data are critical for accurately estimating personal exposures. This review papers summarized various measurement methods of time location pattern for air pollution exposure assessment. Methods: Forty manuscripts (papers, books and reports) were reviewed to comprehensively describe time location measurement methods. Results: This review included traditional methods such as time activity diary, questionnaire, observation, focus group and newly developed technical methods including global positioning system, web, radio frequency identification and ultrasound detection. Some research applied a combination of methods. Conclusion: Although various methods have been used to collect time location data, further development of accurate measurement methods for time location data is needed.

• Journal of Family Resource Management and Policy Review
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• v.11 no.2
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• pp.85-93
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• 2007

The purpose of this study was to assess gender differences in the quantity and quality of leisure time. It uses time diary for a nationally representative sample of Koreans(10 years old over) collected in 2004 by KNSO. This time use surveys provide information about a primary activity and a secondary activity (that is simultaneous activity accompanying the primary activity). The results was that married women experience less of leisure time and more contaminated leisure time by a secondary activity(especially household labor) than married men. This research presents that men and women have different quantity and quality of leisure time, and gender discrepancies persist in the experience of leisure time.

• Journal of Families and Better Life
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• v.21 no.1
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• pp.37-48
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• 2003

The major purpose of this study is to examine how korean elderly people spend their leisure time in a day In order to do this, we analysed the time dairy which were collected through the national investigation made by Korea National Statistical Office in 1999 and executed the frequency analysis, the One-way ANOVA and the Duncan's post hoc test. Major findings are as follows; First, Korean elderly people spent their leisure time passively and negatively Especially, they spent their most leisure time watching TV. Second, Those who were male elderly people, had their spouses and their own cars, and lived in an urban area etc, spend their leisure time executing positive leisure activity such as self-development activity and sports activity.

• Journal of Nutrition and Health
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• v.52 no.1
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• pp.36-46
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• 2019

Purpose: This study evaluated amounts of physical activity and sedentary behavior patterns in older adults using an accelerometer and physical activity diary. Methods: Forty-nine older adults (male 26, female 23) participated in this study. They wore a triaxial accelerometer (ActiGraph wGT3X-BT) for one week and wrote a physical activity diary concurrently for three days. Amounts of physical activity, sedentary behavior patterns, and percentage of meeting the World health organization (WHO) physical activity guidelines were analyzed using an accelerometer. In addition, the contents recorded in the physical activity diary were reclassified to 18 levels and the average daily times spent on each level and physical activity level (PAL) were calculated. Results: The subjects were sitting more than half of the day except for bedtime and shower time (59.2%). The numbers of prolonged ${\geq}30$, 40 minutes sedentary bouts were significantly higher in males ($3.10{\pm}1.34$, $1.78{\pm}1.09$, respectively) than in females ($2.34{\pm}1.22$, $1.32{\pm}1.07$, respectively) and the number of breaks per sedentary hour was significantly less in males ($5.74{\pm}0.89$) than in females ($6.44{\pm}0.71$). Among the activities corresponding to sedentary behavior surveyed by the physical activity diary, only the amount of time spent 'resting, speaking and watching TV' showed a significant correlation with the sedentary behavior pattern measured by the accelerometer. The persistence of sedentary behavior was interrupted primarily when low intensity activity was performed. Only 22.4% of the subjects met WHO physical activity guidelines. Conclusion: Based on these results, the physical activity guidelines for older adults should be developed that reflects the appropriate strength, including low activity level and maintenance time of moderate to vigorous physical activity.

• Journal of Environmental Health Sciences
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• v.27 no.1
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• pp.20-26
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• 2001

personal nitrogen dioxide(NO$_2$) exposures for 31 professional drivers were measured using passive sampler and time activity diary in Asan and Chunan area, and were estimated using time-weighted average model. Mean concentrations of driver’s indoor and outdoor were 24.7$\pm$10.7 ppb and 23.3$\pm$8.3 ppb, respectively with indoor/outdoor of 1.1. Mean personal NO$_2$ exposure was 30.3$\pm$9.7 ppb. Personal NO$_2$ exposures were strongly correlated with indoor car NO$_2$ levels ($R^2$=0.80) rather than residential indoor NO$_2$ level ($R^2$=0.55). and outdoor NO$_2$ level ($R^2$=0.50). The driver’s NO$_2$ exposure using LP-gas with 24.4$\pm$8.0 ppb were statistically different from those using diesel with 36.3$\pm$14.1 ppb(p<0.01). The effect of driver’s smoking for personal NO$_2$ exposure was not found. It was considered that the main NO$_2$in driver is transportation. Since drivers mostly spent their times in indoor and inside car, time-weighted average model could be used to estimated personal NO$_2$ exposure using time activity diary, Though we did not measure all microenvironments, the estimated personal NO$_2$ exposures with 26.9$\pm$10.2 ppb were statistically correlated with measured personal NO $_2$ exposures30.3$\pm$9.7 ppb ($R^2$=0.89). The mean and standard deviation of personal NO$_2$ exposure using Mote-Carlo simulation were 26.6$\pm$7.2 ppb.

• Journal of Korean Biological Nursing Science
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• v.13 no.3
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• pp.211-219
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• 2011

Purpose: The study compared the rest-activity rhythm and sleep pattern of elderly with young group. Methods: The subjects were 22 over than 65 years old and 23 under 65 years old. An actigraph, sleep diary, Pittsburgh Sleep Quality Index and Insomnia Severity Index scale were used as measurement tools for this study. The data were analyzed with $x^2$, Lamda test, t-test and correlation with SPSS 15.0 program. Results: The elderly had lower curve than the young group in rest-activity rhythm on each time zone. In particular, the elderly group had lower rest-activity rhythm curve of 8, 9, 14, 18, 19, 20, 21, 22 and 23 time zone than those of young group. Sleep pattern had statistical difference in the total sleep time, PSQI and insomnia. Total sleep time of elderly had lower score and PSQI and Insomnia had higher score than young group. Age had correlation with rest-activity rhythm, sleep efficiency, PSQI and insomnia. Conclusion: Rest-activity rhythm of the elderly showed an increase in activity in the early morning because of earlier get up than the young group and an decrease in activity in the afternoon because of taking a nap at this time. Elderly sleep was that total sleep time increased but sleep efficiency decreased and insomnia intensified. This sleep pattern was related to age and rest-activity rhythm.