Climatic effects on chest pain, headache, and pain in joint: results from an hospital at an altitude of 1900 meters.

Objective: We aimed to investigate the relationship between climate changes and the most commonly diagnosed three diseases according to ICD-10 coding registry of Ataturk University Hospital, located in Erzurum city center. Material and Methods: Between January 1 and December 31, 2009, 913 108 patien...

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Publicado en:Turkiye Klinikleri Journal of Medical Sciences Vol. 32; no. 2; pp. 389 - 394
Autores principales: Set, Turan, Akturk, Zekeriya, Avsar, Umit, Isik, Memet
Formato: research tables/charts Journal Article
Publicado: Turkiye Klinikleri Apr2012
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2012
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        atl: Climatic effects on chest pain, headache, and pain in joint: results from an hospital at an altitude of 1900 meters.
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          Set, Turan
          Akturk, Zekeriya
          Avsar, Umit
          Isik, Memet
        affil: Department of Family Medicine, Atatürk University Faculty of Medicine, Erzurum
      sug:
        subj:
          Altitude
          Arthralgia
          Chest Pain
          Climate
          Headache
          Humidity
          Temperature
          Human
          International Classification of Diseases
          Linear Regression
          Pearson's Correlation Coefficient
          Research Methodology
      ab: Objective: We aimed to investigate the relationship between climate changes and the most commonly diagnosed three diseases according to ICD-10 coding registry of Ataturk University Hospital, located in Erzurum city center. Material and Methods: Between January 1 and December 31, 2009, 913 108 patients applied to Ataturk University Hospital outpatient clinics (including applications to the emergency unit). Data of 601 184 cases (65.8%) with an age range of 18-110 years were included in the study. The most common three diagnoses according to the ICD-10 codes were selected. These were 'Other chest pain (R07.3)', 'Headache (R51)', and 'Pain in joint (M25.5)'. Analyses were done to investigate the relationship between daily number of diagnoses and the studied meteorological values. Results: Mean age was 46.6 ± 17.6 years. Yearly averages of temperature, dew point, humidity, and atmospheric pressure were 5.50 ± 9.56°C (-28-22), -0.48 ± 7.30°C (-31-12), 69.27±15.0% (31-98) and 1017.28 ± 4.81 hPa (1000-1033), respectively. Pearson correlation analysis showed a significant positive correlation between M25.5 and temperature (r= 0.364, p< 0.001), dew point (r= 0.330, p<0.001), and atmospheric pressure (r= 0.140, p= 0.007) and a significant negative correlation between M25.5 and humidity (r= -0.234, p<0.001). There was no significant correlation between R07.3 as well as R51 and the meteorological variables (p> 0.05). In a linear regression analysis, temperature and atmospheric pressure were found as significant independent variables affecting number of daily admissions with M25.5. Conclusion: Meteorological variables affect daily admissions to hospital outpatient clinics with a diagnosis of 'Pain in joint - M25.5'. Contrary to classical knowledge, daily number of admissions due to 'Pain in joint' has a negative correlation with humidity and has a positive correlation with atmospheric pressure.
      pubtype: Academic Journal
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        research
        tables/charts
        Journal Article
      ougenre: Article
    language: Turkish
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