Purpose: To explore the relationship between the 1998 National Heart, Lung, and Blood Institute (NHLBI) weight guidelines and concurrent medical costs.
Design: Cross-sectional study.
Setting: In a nationwide manufacturing corporation (General Motors Corporation).
Subjects: A total of 177,971 employees, retirees, and their adult dependents who were enrolled in Indemnity/PPO health insurance plan during the years 1996 and 1997 and completed one health risk appraisal (HRA) in the same period.
Measures: The participants were categorized into six weight groups according to the NHLBI 1998 guidelines (body mass index [BMI] < 18.5, 18.5-24.9, 25-29.9, 30-34.9, 35-39.9, > or = 40 kg/m2). The height and weight data were collected by self-reported values on an HRA or biometric screening completed during 1996 to 1997. To represent the typical medical costs in a given group, the median, instead of mean, medical charges were used in this article. The annual median medical charges (including drug charges) for years 1996 and 1997 were compared among the six weight groups by using Wilcoxon rank sum tests. The differences in median charges were also tested between the normal weight group and the other five groups for each of the 10 gender-age subgroups (five age groups: 19-44, 45-54, 55-64, 65-74, 75+).
Results: Overall median medical costs were consistent with the NHLBI weight guidelines. The normal-weight group costs the least and both underweight and overweight-obesity groups cost more. The median medical costs of the six weight groups were $3184, $2225, $2388, $2801, $3182, and $3753, respectively, with statistical differences existing between any two groups of the last five categories. The underweight groups, especially in females, were not consistent with the guidelines in the two young groups (ages 19-44 and 45-54). An inconsistent relationship between medical costs and BMI groups was seen in the oldest males (age 75+).
Conclusions: The six weight groups defined by the 1998 NHLBI guidelines are consistent with concurrent medical costs. Except for the underweight group (BMI < 18.5 kg/m2), medical costs gradually increased with BMI. Given that the prevalence of obesity continues to increase in western countries, effective weight control programs would help avoid a substantial amount of medical costs associated with overweight/obesity and related diseases.
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http://dx.doi.org/10.4278/0890-1171-17.3.183 | DOI Listing |
J Med Internet Res
January 2025
Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.
Background: Neuroimaging segmentation is increasingly important for diagnosing and planning treatments for neurological diseases. Manual segmentation is time-consuming, apart from being prone to human error and variability. Transformers are a promising deep learning approach for automated medical image segmentation.
View Article and Find Full Text PDFAm J Hosp Palliat Care
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Division of Cancer Education, National Cancer Centre Singapore, Singapore.
Background: Palliative Care, Geriatrics and Emergency physicians are exposed to death, terminally ill patients and distress of patients and their families. As physicians bear witness to patients' suffering, they are vulnerable to the costs of caring-the emotional distress associated with providing compassionate and empathetic care to patients. If left unattended, this may culminate in burnout and compromise professional identity.
View Article and Find Full Text PDFClin Infect Dis
January 2025
IQVIA Inc., Falls Church, VA.
Crit Care Sci
January 2025
Health Economics, Hospital Management and Nursing Research Deptment, School of Public Health, Université Libre de Bruxelles - Bruxelles, Belgium.
Objective: This study aimed to explore the association between high outliers and intensive care unit admissions and to identify the factors contributing to high intensive care unit costs.
Methods: This retrospective cohort study used data from 17 Belgian hospitals from 2018 and 2019. The study focused on the 10 most frequently admitted diagnosis-related groups in the intensive care unit.
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