The purpose of this study was to identify individual-level and community-level factors in ecological model influenced on walking and to provide a basic data for strategy that can increase walking for health promotion of adult white-collar workers metropolitan cities. By combining the primary data of...
The purpose of this study was to identify individual-level and community-level factors in ecological model influenced on walking and to provide a basic data for strategy that can increase walking for health promotion of adult white-collar workers metropolitan cities. By combining the primary data of community health survey (CHS) (2011-2013) with the Korea national statistics annual report (2011-2013), the regional level variables were extracted from 74 municipal districts in 7 metropolitan cities producted the convergent big data with the hierarchical structure,
As the results, it was found factors relate to walking that gender, age, house hold income, education level, occupation, smoking, drinking, stress, depressed in the individual level factors and security center, budget expenditure for public order and safety, park, sporting site, recreation area, budget expenditure for national and community land development, road, city bus registration in the community level factors.
In conclusion, walking was increased by development of community environment and individual habit and behavior.
Therefore, community level such as neighbourhood environment influenced on walking, further, it should be consider and improving that physical activity such as walking increases naturally, finally that increase health expectancy in community citizen workers.
The purpose of this study was to identify individual-level and community-level factors in ecological model influenced on walking and to provide a basic data for strategy that can increase walking for health promotion of adult white-collar workers metropolitan cities. By combining the primary data of community health survey (CHS) (2011-2013) with the Korea national statistics annual report (2011-2013), the regional level variables were extracted from 74 municipal districts in 7 metropolitan cities producted the convergent big data with the hierarchical structure,
As the results, it was found factors relate to walking that gender, age, house hold income, education level, occupation, smoking, drinking, stress, depressed in the individual level factors and security center, budget expenditure for public order and safety, park, sporting site, recreation area, budget expenditure for national and community land development, road, city bus registration in the community level factors.
In conclusion, walking was increased by development of community environment and individual habit and behavior.
Therefore, community level such as neighbourhood environment influenced on walking, further, it should be consider and improving that physical activity such as walking increases naturally, finally that increase health expectancy in community citizen workers.
주제어
#Walking Ecological model Multi-level analysis Workers Community health survery
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