ArticleCureus2024
Evaluation of Seasonal and Climatic Variations Associated With Femoral Fracture Incidence Among the Elderly Population in Brazil.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Hip fracture seasonality in a mild climate: the joint association of daylight duration and temperature.Archives of osteoporosis · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionFemur fractures represent a significant public health concern for individuals over 60 years of age. In Brazil, the incidence of these fractures has shown a rising trend in line with population aging. Besides intrinsic risk factors like osteoporosis, seasonal and climatic variables have been suggested to significantly influence the occurrence of these fractures.
methodsEpidemiological data were sourced from the Hospital Information System of the Unified Health System (SIH-SUS) using the TABNET tool provided by the Department of Informatics of the Unified Health System (DATASUS). Information on hospital admissions for femur fractures in individuals over 60 years, categorized by diagnosis, region, and month, was collected from 2008 to 2023. Climatic data were obtained from the Brazilian National Institute of Meteorology (INMET) for the period from 1991 to 2020. Monthly average temperatures were compared with epidemiological data and analyzed to uncover correlations using ANOVA and Tukey's honestly significant difference (HSD) test.
resultsDuring Brazil's winter months (June to August: 22.8 to 23.5º Celsius), average temperatures are at their lowest. This period also coincides with the peak incidence of femur fractures among the elderly. ANOVA revealed significant differences in fracture rates across various temperature ranges. Subsequent analysis using Tukey's HSD test identified significant differences between temperature ranges of 22-23°C and 25-26°C, as well as 23-24°C and 25-26°C. These results indicate that lower temperatures are associated with a higher incidence of femur fractures among the elderly.
conclusionThe analysis reveals a seasonal pattern in fracture incidence among older adults, with a notable increase during the colder months. To mitigate this risk, it is recommended to implement strategies such as heightened surveillance during colder months, targeted fall prevention measures, and effective osteoporosis management. These interventions aim to reduce the incidence of fractures in this vulnerable population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.