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Body mass index is widely regarded as an important predictor of mortality. The purpose of this study was to investigate the relationship between body mass index and mortality and to compare community-dwelling elderly people in South Korea according to sex.
Data were collected from the 2008 and 2011 Living Profiles of Older People Surveys, which comprised 10,613 community-living South Korean men and women aged 65 years or older. The participants were stratified into five groups according to body mass index as defined by the World Health Organization guidelines. The sociodemographic characteristics of participants and mortality rates were compared across the body mass index groups.
The highest survival rates were observed in men with a body mass index of 25.0–29.9 kg/m2. A similar trend was observed in women, but it was not statistically significant. After adjusting for covariates, this association was also found in men across all BMI index groups, but not in women.
This study supports previous findings that overweight or mild obesity is associated with the lowest mortality and suggests that the current categories of obesity require revision. Furthermore, the absence of statistically significant findings in the female cohort suggests that body mass index is not a suitable predictor of mortality in women and that an alternative is required.
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Prognosis in Palliative Care Study (PiPS) predictor models were developed in 2011 to estimate the survival of terminal cancer patients in the United Kingdom. The aim of this study was to validate the PiPS model for terminal cancer patients in Korea, and evaluate its value in clinical practice.
This study included 202 advanced cancer patients who were admitted to the cancer hospital's palliative care ward from November 2011 to February 2013. On admission, physicians recorded the PiPS-A, PiPS-B, and doctor's survival estimates in inpatients.
The median survival across PiPS-A categories was 9, 28, and 33 days, and the median survival across PiPS-B was 9.5, 27, and 43 days. The median actual survival was 25 days; overall accuracy between the PiPS-A, PiPS-B, doctor's estimates of survival, and actual survival was 52.0%, 49.5%, and 46.5%, respectively. The PiPS-A and PiPS-B groups for survival in 'days' showed a sensitivity of 48.4% and 64.1%, and specificity of 87.7%, and 77.5%, respectively. The PiPS-A and PiPS-B groups for survival in 'weeks' showed a sensitivity of 59.2%, and 44.7%, and specificity of 61.6%, and 64.7%, respectively. The PiPS-A and PiPS-B 'months' group showed a sensitivity of 37.1% and 37.1%, and specificity of 74.9% and 78.4%, respectively. The 'weeks' and 'months' groups showed significantly prolonged survival rates than 'days' group did in both PiPS-A and PiPS-B, by the Kaplan-Meier method.
The PiPS predictor models effectively predicted the survival ≥14 days in terminal cancer patients, and were superior to doctor's estimates.
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Death from uterine cervical cancer could be preventable by an active participation of women at risk in a screening program such as the Papanicolaou test. In order to examine the presence of socioeconomic disparity in preventable deaths, we evaluated the time trends of cervical cancer mortality by socioeconomic status in Korean women.
We selected level of educational attainment and marital status as surrogate indices of socioeconomic status. Using death certificate data and Korean Population and Housing Census data from Korea National Statistical office, we calculated age-standardized yearly mortality rates from cervical cancer between 1998 and 2009 according to the level of education as well as marital status.
Cervical cancer mortality peaked in 2003 and then decreased gradually over time. Cervical cancer mortality was the highest in the group with the lowest level of educational attainment in all age groups and the gap between the lowest and the highest educational level has increased over time. Cervical cancer mortality was lower in married women than unmarried women in all age groups, and the degree of difference did not change over time.
In the Korean population, socioeconomic differential in cervical cancer mortality has persisted over time.
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