Background: Early detection is the best way to control breast cancer. This observational epidemiologic study uses ten years of data, 1988-1997, to determine whether the observed variations in the proportion of breast cancers diagnosed at late stage are simply random or are statistically significant with respect to both geographical location and time.
Results: A total of three spatial-temporal areas were found to deviate significantly from randomness in the unadjusted analysis; one of the three areas contained statistically significant excesses in proportion of late stage, while two areas were identified as significantly lower than expected. The area of excess spanned the first three years of the study period, while the low areas spanned the last five years of the study period. Some of these areas were no longer statistically significant when adjustments were made for SES and urban/rural status.
Conclusion: Although there was an area of excess in eastern Massachusetts, it only spanned the first three years of the study period. The low areas were fairly consistent, spanning the last five years of the study period.
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http://dx.doi.org/10.1186/1476-072X-4-15 | DOI Listing |
Ergonomics
January 2025
School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, Canada.
Age is associated with increased tissue stiffness and a higher risk of low back pain, particularly in older, sedentary workers who spend long periods sitting. This study explored how trunk stiffness changes with age and its relationship with posture during prolonged sitting in a sample of 37 women aged 20-65 years. Age was assessed as both Chronological Age and Fitness Age, with trunk stiffness measured using a passive trunk flexion apparatus.
View Article and Find Full Text PDFJMIR Mhealth Uhealth
January 2025
Department of Learning and Workforce Development, The Netherlands Organisation for Applied Scientific Research, Soesterberg, Netherlands.
Background: Wearable sensor technologies, often referred to as "wearables," have seen a rapid rise in consumer interest in recent years. Initially often seen as "activity trackers," wearables have gradually expanded to also estimate sleep, stress, and physiological recovery. In occupational settings, there is a growing interest in applying this technology to promote health and well-being, especially in professions with highly demanding working conditions such as first responders.
View Article and Find Full Text PDFSports Health
January 2025
Department of Orthopaedic Surgery, Hackensack Meridian Health, Hackensack, New Jersey.
Background: The elderly US population is growing quickly and staying active longer. However, there is limited information on sports-related injuries in older adults.
Hypotheses: (1) National estimate and incidence of sports-related orthopaedic injuries in the US elderly population have increased over the last 10 years, (2) types and causes of sports-related injuries in the elderly have changed, and (3) elderly sports-related injuries will increase more than the number of treating physicians by 2040.
JMIR Public Health Surveill
January 2025
School of Public Health, National Defense Medical Center, Taipei City, Taiwan.
Background: Japanese encephalitis (JE) is a zoonotic parasitic disease caused by the Japanese encephalitis virus (JEV), and may cause fever, nausea, headache, or meningitis. It is currently unclear whether the epidemiological characteristics of the JEV have been affected by the extreme climatic conditions that have been observed in recent years.
Objective: This study aimed to examine the epidemiological characteristics, trends, and potential risk factors of JE in Taiwan from 2008 to 2020.
JMIR Med Inform
January 2025
Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Background: Many tools have been developed to predict the risk of diabetes in a population without diabetes; however, these tools have shortcomings that include the omission of race, inclusion of variables that are not readily available to patients, and low sensitivity or specificity.
Objective: We aimed to develop and validate an easy, systematic index for predicting diabetes risk in the Asian population.
Methods: We collected the data from the NAGALA (NAfld [nonalcoholic fatty liver disease] in the Gifu Area, Longitudinal Analysis) database.
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