International Journal of Medical and Pharmaceutical Research
2026, Volume-7, Issue 2 : 3950-3954
Research Article
Seasonal Variations and Clinical Pattern of Respiratory Disease in A Tertiary Care Hospital
 ,
 ,
Received
March 20, 2026
Accepted
April 15, 2026
Published
April 30, 2026
Abstract

Background: Seasonal variation plays a significant role in the incidence and exacerbation of respiratory diseases. Environmental factors such as temperature, humidity, and air pollution influence the occurrence of both infectious and chronic respiratory conditions. Understanding these patterns is essential for effective healthcare planning and resource allocation. Methods: A retrospective observational study was conducted on 488 patients admitted with respiratory illnesses over a period of one year. Patients were categorized based on seasonal distribution (winter, summer, autumn, and spring). The frequency and pattern of major respiratory diseases were analyzed using descriptive statistical methods.

Results: Distinct seasonal trends were observed among different respiratory diseases. Chronic obstructive pulmonary disease (COPD) and community-acquired pneumonia showed a marked increase during the winter season. Tuberculosis and silicosis cases were more frequently recorded during summer months. Asthma and pneumothorax demonstrated a higher incidence during the autumn season. Overall hospital admissions were highest during summer and winter, indicating a bimodal distribution pattern. Conclusion: Respiratory diseases exhibit significant seasonal variation, with specific conditions peaking during particular times of the year. Recognition of these trends can aid in improving hospital preparedness, optimizing resource utilization, and implementing targeted preventive strategies.

Keywords
INTRODUCTION

Seasonal variation plays a significant role in the epidemiology of respiratory diseases1,2. Environmental factors such as temperature, humidity, air pollution, and allergen levels influence both the incidence and exacerbation of respiratory conditions3.In developing countries, the impact of seasonal changes is further intensified by poor living conditions, overcrowding, and increased exposure to environmental pollutants4. Seasonal trends affect both infectious diseases such as pneumonia and tuberculosis, as well as chronic conditions like COPD and asthma.Understanding these seasonal patterns is essential for predicting disease burden, optimizing healthcare resources, and implementing preventive strategies5. This study aims to evaluate the seasonal variation in respiratory diseases over a one-year period in a tertiary care hospital.

 

MATERIALS AND METHODS

This was a retrospective observational study conducted on 488 patients admitted with respiratory diseases over one year. The study included all patients aged ≥15 years diagnosed with respiratory diseases such as tuberculosis, COPD, silicosis, pleural effusion, lung malignancy, community-acquired pneumonia (CAP), pneumothorax and asthma, attending the OPD or admitted to the IPD during the study period. Patients with incomplete records, those aged <15 years and those unwilling to participate were excluded. A total of 488 patients were included in the study. Data were collected using a pre-designed structured proforma, which included demographic details (age, gender, residence, socio-economic status), smoking history, clinical diagnosis and seasonal distribution of cases. The year was divided into four seasons: winter (December–February), spring (March–May), summer (June–August) and autumn (September–November).

Data were analyzed using descriptive statistical methods to identify seasonal trends.

RESULT

Table 1: Age profile of participants

Age groups

Number

Percentage

15-24

64

13.11%

25-34

99

20.29%

35-44

131

26.84%

45-54

99

20.29%

>55

82

16.80%

Total

488

100%

 

 Majority of patients belonged to the 35–44 years age group (26.84%), followed by 25–34 and 45–54 years (20.29% each).The least affected groups were 15–24 years (13.11%) and >55 years (16.80%).

Table 2: Gender distribution of participants

Gender

Number

Percentage

Male

315

64.55%

Female

173

35.45%

Total

488

100%

Males (64.55%), while females constituted 35.45% of the study population.

Table 3:Area of residence

Residence

Number

Percentage

Rural

322

65.98%

Urban

166

34.02%

 

The majority of patients were from rural areas (65.98%), while 34.02% belonged to urban areas.

Table 4: Socio-economic status of participants

Socio-economic status

Number

Percentage

Lower

265

54.30%

Upper lower

108

22.13%

Lower middle

69

14.14%

Upper middle

27

5.53%

Upper

19

3.89%

Total

488

100%

The majority of patients belonged to the lower socio-economic class (54.30%), followed by upper lower (22.13%) and lower middle class (14.14%), while upper middle (5.53%) and upper class (3.89%), showing predominance of lower socio-economic groups.

Table 5: Smoking profile of participants

Smoker

Number

Percentage

Yes

360

73.77%

No

128

26.23%

Smokers (73.77%), while 26.23% were non-smokers.This indicates a strong association of smoking with respiratory diseases in the study population.

Table 6: Individual disease profile of admitted cases yearly

Respiratory disease

Number

Percentage

Tuberculosis

188

38.52%

COPD

116

23.77%

SILICOSIS

93

19.06%

PLEURAL EFFUSION

64

13.11%

LUNG MALIGNANCY

58

11.89%

CAP

46

9.43%

Pneumothorax

37

7.58%

Asthma

29

5.94%

 

Tuberculosis was the most common respiratory disease (38.52%), followed by COPD (23.77%) and silicosis (19.06%).Other conditions like pleural effusion (13.11%), lung malignancy (11.89%), CAP (9.43%), pneumothorax (7.58%) and asthma (5.94%).

Table 7:Seasonal profile of individual respiratory disease

Respiratory disease

Winter

(December to February)

Spring

(March to May)

 

Summer

(June to August)

 

Autumn

(September to November)

 

Total

No.

%

No.

%

No.

%

No.

%

Tuberculosis

26

13.83%

57

30.32%

71

37.77%

34

18.09%

188

COPD

53

45.69%

21

18.10%

12

10.34%

30

25.86%

116

SILICOSIS

12

12.90%

22

23.66%

41

44.09%

18

19.35%

93

PLEURAL EFFUSION

7

10.94%

12

18.75%

19

29.69%

26

40.63%

64

LUNG MALIGNANCY

9

15.52%

15

25.86%

23

39.66%

11

18.97%

58

CAP

21

45.65%

7

15.22%

5

10.87%

13

28.26%

46

Pneumothorax

7

18.92%

4

10.81%

8

21.62%

18

48.65%

37

Asthma

6

20.69%

5

17.24%

7

24.14%

11

37.93%

29

Seasonal variation showed that tuberculosis, silicosis and lung malignancy peaked during summer, while COPD and CAP were more common in winter.Pleural effusion, pneumothorax and asthma showed higher occurrence in autumn.

RESULTS

The analysis revealed clear seasonal variation in the occurrence of respiratory diseases.

COPD cases were highest during winter months, indicating increased exacerbations during colder weather. Community-acquired pneumonia also showed a similar pattern, with peak incidence during winter.

 

Tuberculosis cases were more frequently observed during summer months. Silicosis cases also showed increased occurrence during this period, likely reflecting occupational exposure patterns.

 

Asthma and pneumothorax demonstrated higher incidence during autumn, possibly due to environmental allergens and climatic changes.

 

Monthly trends showed increased hospital admissions during summer and winter, while relatively lower admissions were observed during transitional seasons

 

DISCUSSION

The majority of patients in our study belonged to the 35–44 years age group (26.84%), followed by 25–34 and 45–54 years (20.29% each).Patients aged >55 years accounted for 16.80% of cases, while the least affected group was 15–24 years (13.11%). Respiratory diseases were more common in the middle-aged population in the present study.

 

The majority of patients were males (64.55%), while females constituted 35.45% of the study population, showing a  male predominance in respiratory diseases in the present study.This higher proportion of males is  attributed to greater exposure to risk factors such as smoking and occupational hazards.

 

In our study majority of patients were from rural areas (65.98%), while 34.02% belonged to urban areas.This indicates a higher burden of respiratory diseases among the rural population in the present study.The rural predominance is related to factors such as biomass fuel exposure, occupational hazards, and limited access to healthcare.

Lower socio-economic class (54.30%), followed by upper lower (22.13%) and lower middle class (14.14%).Only a small proportion belonged to upper middle (5.53%) and upper class (3.89%).

 

The majority of patients were smokers (73.77%), while 26.23% were non-smokers.This shows a clear predominance of smoking among individuals with respiratory diseases in the study population.The high prevalence of smoking highlights its important role as a major risk factor for respiratory illnesses.

Tuberculosis was the most common respiratory disease (38.52%), followed by COPD (23.77%) and silicosis (19.06%).Other conditions included pleural effusion (13.11%), lung malignancy (11.89%) and CAP (9.43%).Pneumothorax (7.58%) and asthma (5.94%) were comparatively less common in the present study.

 

Seasonal variation in respiratory diseases is influenced by a complex interplay of environmental, biological, and behavioral factors.Cold temperatures during winter can lead to bronchoconstriction, impaired mucociliary clearance, and increased susceptibility to infections, explaining the higher incidence of COPD exacerbations and pneumonia during this period6.The increased incidence of tuberculosis during summer months has been reported in previous studies. This may be related to delayed healthcare-seeking behavior, increased transmission, and seasonal variations in immune function7,8.

 

Pneumonia cases peaking in winter align with global trends of increased respiratory infections during colder months 1,9.Asthma exacerbations during autumn may be linked to increased exposure to allergens such as pollen and mold, as well as changes in temperature and humidity10.The seasonal distribution of pneumothorax may be influenced by atmospheric pressure changes and environmental factors.These findings highlight the importance of anticipating seasonal variations in respiratory diseases and implementing appropriate preventive and management strategies.

 

CONCLUSION

Respiratory diseases in the present study demonstrated clear seasonal variation, with different conditions showing peak occurrence in specific seasons. Tuberculosis, silicosis and lung malignancy were more common in summer, while COPD and CAP peaked in winter, and pleural effusion, pneumothorax and asthma were more frequent in autumn.

 

The study also showed a higher burden of respiratory diseases among males, smokers, rural populations and individuals from lower socio-economic groups. Recognition of these seasonal and demographic patterns can help in improving hospital preparedness, optimizing resource allocation and implementing targeted preventive and public health strategies.

REFERENCES

1.Falagas ME, et al. Seasonality of respiratory infections. Lancet Infect Dis. 2009;9:531–8.

2.Fares A. Seasonal variation in infectious diseases. Int J Prev Med. 2013;4:128–32.

3.Tamerius JD, et al. Environmental predictors of respiratory infections. PLoS Pathog. 2013.

4.WHO. Air pollution and respiratory disease. 2022.

5.India Meteorological Department. Climate data report.

6.Donaldson GC, et al. Cold weather and COPD exacerbations. Thorax. 1999;54:847–52.

7.Lawn SD, Zumla AI. Tuberculosis epidemiology. Lancet. 2011.

8.Lin HH, et al. Seasonal variation of TB. Epidemiol Infect. 2010.

9.Koul PA, et al. Pneumonia trends in India. Lung India. 2017.

10.Schafer T, Ring J. Asthma and seasonal variation. Allergy. 1997.

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