The relationship between age of onset and risk factors including family history and life style in Korean population with type 2 diabetes mellitus Family history as well as life style including exercise, smoking, and drinking are the risk factors for early-onset factor in Korean population with T2D. Compared to none of family members with T2D, those whose both father and mother had a history showed the highest the risk of early-onset (HR=2.36 95% CI=1.45-3.85). Parent history of T2D was significantly associated with age of onset. Cox proportional hazard models were used to confirm associations between age of onset and risk factors including family history and life style in Korean population with T2D. Subjects with T2D patients who received outpatient care for blood sugar control were randomly sampled at 13 general hospitals and 969 subjects were included. The purpose of the present study was to assess the relationship between age of onset and risk factors including family history and life style in Korean population with type 2 diabetes mellitus (T2D). Noh, Jin-Won Jung, Jin Hee Park, Jeong Eun Lee, Jung Hwa Sim, Kang Hee Park, Jumin Kim, Min Hee Yoo, Ki-Bong The relationship between age of onset and risk factors including family history and life style in Korean population with type 2 diabetes mellitus. Our goal in developing the Group Quarters Population Database was to enable its use with RTI’s US Synthesized Population Database in the Modeling of Infectious Diseases Agent Study. This report reviews our methods to synthesize data on group quarters residents to match US Census Bureau data. Particularly with infectious disease modeling, the increased frequency of agent interaction may increase the probability of infectious disease transmission between individuals and the probability of disease outbreaks. Including group quarters population data can be an important factor in agent-based modeling because the number of residents and the frequency of their interactions are variables that directly affect modeling results. Although the Synthesized Population Database represents the population living in households, data for the nation’s group quarters residents are not easily quantified because of US Census Bureau reporting methods designed to protect individuals’ privacy. Group quarters are residences where individuals live in close proximity and interact frequently. These data are used in agent-based modeling, which simulates large-scale social networks to test how changes in the behaviors of individuals affect the overall network. In 2005, RTI International researchers developed methods to generate synthesized population data on US households for the US Synthesized Population Database. Ganapathi, Laxminarayana Wagener, Diane K. Including the Group Quarters Population in the US Synthesized Population DatabaseĬhasteen, Bernadette M.
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