International Journal of Medical and Pharmaceutical Research
2026, Volume-7, Issue 1 : 1395-1398
Research Article
Prevalence of Dry Eye Disease and Associated Risk Factors in the Elderly Population: An Observational Study
 ,
 ,
1
Associate professor and Head, Department of Ophthalmology , SJPMC, Bharatpur Rajasthan
2
Associate professor, Department of Ophthalmology, GMC and Hospital, Dholpur, Rajasthan
3
Assistant professor, Department of Ophthalmology , GMC and Hospital, Dholpur, Rajasthan
Received
Jan. 7, 2026
Accepted
Jan. 25, 2026
Published
Feb. 7, 2026
Abstract

Background: Dry Eye Disease (DED) is a growing public health concern, particularly among the aging population. It significantly impacts visual function and quality of life. Objective: To determine the prevalence of DED and analyze associated systemic, ocular, and lifestyle risk factors in an elderly population. Methods: This cross-sectional observational study included 150 patients aged 60 years and older. Diagnosis of DED was based on the Ocular Surface Disease Index (OSDI) questionnaire and clinical tests (TBUT, Schirmer’s test). Demographic data, systemic comorbidities, ocular history, and lifestyle factors were recorded and analyzed. Results: The overall prevalence of DED was 61.3% ($n=92$), with a female preponderance (54.7%). Among those with DED, 43.5% had mild, 38.0% moderate, and 18.5% severe disease. Statistically significant associations were found with Diabetes Mellitus (77.8% prevalence), Rheumatoid Arthritis (75.0%), and Thyroid Disorders (66.7%) ($p < 0.05$). Ocular risk factors included Meibomian Gland Dysfunction (MGD) (80.0%) and topical anti-glaucoma medication use (80.0%). High screen exposure (>4 hours/day) and smoking were also correlated with increased DED frequency. Conclusion: DED is highly prevalent in the elderly, driven by a complex interplay of systemic diseases, ocular conditions like MGD, and lifestyle factors. Comprehensive screening in geriatric care is essential for early management

Keywords
INTRODUCTION

Dry Eye Disease (DED) is a multifactorial disease of the ocular surface characterized by a loss of homeostasis of the tear film, accompanied by ocular symptoms, in which tear film instability and hyperosmolarity, ocular surface inflammation and damage, and neurosensory abnormalities play etiological roles (1). As the global population ages, the burden of DED is expected to rise, posing a significant challenge to healthcare systems and the quality of life of the elderly.

The epidemiology of DED varies significantly depending on the population studied and the diagnostic criteria employed. The prevalence ranges from 5% to 50% in various global studies, with a marked increase observed with advancing age (2). The elderly are particularly susceptible due to the physiological senescence of lacrimal and meibomian glands, reduced blink reflex, and the cumulative effect of oxidative stress on the ocular surface (3). Furthermore, the geriatric population often suffers from multiple systemic comorbidities such as diabetes mellitus, rheumatoid arthritis, and thyroid dysfunction, all of which have been implicated in the pathogenesis of aqueous-deficient or evaporative dry eye (4).

In addition to systemic health, ocular history plays a pivotal role. The widespread prevalence of Meibomian Gland Dysfunction (MGD) in older adults contributes significantly to evaporative dry eye. Moreover, iatrogenic factors, including cataract surgery—the most common surgical procedure in the elderly—and the chronic use of topical preservatives in anti-glaucoma medications, exacerbate ocular surface disease (5, 6).

Despite the known associations, there is a need for comprehensive data that simultaneously evaluates demographic, systemic, ocular, and lifestyle variables within specific geriatric cohorts. The modern elderly population is also increasingly exposed to digital screens, adding a contemporary lifestyle risk factor to the traditional list. This study aims to estimate the prevalence of DED in patients aged 60 years and older and to dissect the contribution of various systemic and ocular risk factors to the disease burden.

MATERIALS AND METHODS

Study Design and Setting

This prospective, cross-sectional observational study was conducted at the Department of Ophthalmology in tertiary care teaching hospitals. The study duration was six months. The protocol adhered to the tenets of the Declaration of Helsinki and was approved by the Institutional Ethics Committee. Written informed consent was obtained from all participants.

Study Population

A total of 150 elderly patients (aged >60 years) presenting to the ophthalmology outpatient department were recruited.

  • Inclusion Criteria: Patients aged 60 years and above willing to participate.
  • Exclusion Criteria: Patients with active ocular infections, history of ocular surgery within the last 3 months (to exclude acute post-operative inflammation), eyelid deformities (e.g., ectropion, entropion), or those unable to comprehend the questionnaire.

 

Clinical Evaluation

All participants underwent a detailed history taking, focusing on:

  1. Demographics: Age, gender, residence (urban/rural).
  2. Systemic History: Presence of diabetes mellitus, hypertension, thyroid disorders, and rheumatoid arthritis.
  3. Ocular History: History of cataract surgery, use of topical anti-glaucoma medications, and symptoms suggestive of MGD.
  4. Lifestyle: Smoking status and daily screen time exposure (categorized as <4 hours or >4 hours).

 

Diagnosis of Dry Eye Disease

The diagnosis was established using a combination of subjective symptoms and objective signs:

  • Subjective: The Ocular Surface Disease Index (OSDI) questionnaire was administered. An OSDI score>12 was considered indicative of symptomatic DED.
  • Objective:
  • Tear Break-Up Time (TBUT): < 10 seconds was considered abnormal.
  • Schirmer’s Test I: < 10 mm wetting after 5 minutes (without anesthesia) was considered abnormal.
  • Corneal Staining: Assessed using fluorescein dye to evaluate surface damage.

 

Patients were diagnosed with DED if they had an OSDI score $>12$ plus at least one abnormal objective clinical test. Severity was graded as Mild, Moderate, or Severe based on the DEWS II management and severity grading guidelines (1). MGD was diagnosed based on lid margin changes and expressibility of meibomian glands

RESULTS

A total of 150 elderly patients participated in the study, with a mean age distribution favoring the 60–69 year age group (43.3%) and a slight female preponderance (54.7%), as detailed in Table 1. The overall prevalence of Dry Eye Disease (DED) in the study population was found to be 61.3% ($n=92$), with the majority of these cases classified as mild (43.5%) to moderate (38.0%) in severity (Table 2).

Analysis of systemic risk factors revealed a statistically significant association between DED and Diabetes Mellitus (77.8% prevalence within the group) as well as Rheumatoid Arthritis (Table 3). Furthermore, ocular history played a critical role; patients with Meibomian Gland Dysfunction (MGD) and those using topical anti-glaucoma medications showed notably high rates of DED (80% for both groups), while 69.1% of patients with a history of cataract surgery were diagnosed with dry eye (Table 4). Lifestyle factors also contributed to the disease burden, with higher screen exposure (>4 hours) and a history of smoking correlating with a higher frequency of DED cases (Table 5).

Table 1: Demographic Characteristics of the Study Population (N=150)

Characteristic

Category

Frequency (n)

Percentage (%)

Age Group (Years)

60 – 69

65

43.3%

 

70 – 79

55

36.7%

 

≥ 80

30

20.0%

Gender

Male

68

45.3%

 

Female

82

54.7%

Residence

Urban

95

63.3%

 

Rural

55

36.7%

 

Table 2: Prevalence and Severity of Dry Eye Disease (DED)

DED Status

Category

Frequency (n)

Percentage (%)

Presence of DED

Present

92

61.3%

 

Absent

58

38.7%

Severity of DED

Mild

40

43.5%

(among n=92)

Moderate

35

38.0%

 

Severe

17

18.5%

 

Table 3: Association of Systemic Comorbidities with Dry Eye Disease

Comorbidity

Total Patients (n)

DED Present (n)

Prevalence within Group (%)

P-value*

Diabetes Mellitus

45

35

77.8%

< 0.05

Hypertension

50

28

56.0%

> 0.05

Thyroid Disorders

15

10

66.7%

< 0.05

Rheumatoid Arthritis

12

9

75.0%

< 0.05

No Comorbidities

28

10

35.7%

-

*P-value calculated using Chi-square test; P < 0.05 considered significant.

 

Table 4: Ocular Risk Factors and Medication History

Ocular Risk Factor

Total Patients (n)

DED Present (n)

Prevalence within Group (%)

Meibomian Gland Dysfunction (MGD)

60

48

80.0%

History of Cataract Surgery

55

38

69.1%

Topical Anti-Glaucoma Meds

20

16

80.0%

No Ocular History

15

5

33.3%

 

Table 5: Lifestyle and Environmental Risk Factors

Risk Factor

Category

DED Present (n)

DED Absent (n)

Total (n)

Smoking Status

Smoker (Current/Past)

25

10

35

 

Non-Smoker

67

48

115

Daily Screen Time

> 4 Hours

30

10

40

 

< 4 Hours

62

48

110

DISCUSSION

This study highlights the substantial burden of Dry Eye Disease (DED) in the elderly population, revealing an overall prevalence of 61.3% among 150 participants. This finding aligns with the higher end of the prevalence spectrum reported in global literature, which typically ranges from 5% to 50% but escalates sharply in geriatric cohorts (2). The high prevalence observed here emphasizes that DED is not merely a nuisance but a pervasive condition in older adults that requires active clinical attention.

 

Demographic Influences

Our study observed a slight female preponderance (54.7% of the study population), which is consistent with the well-established understanding that women are at higher risk for DED. This gender disparity is often attributed to the effects of sex hormones on the ocular surface, particularly the decrease in androgens and estrogens during menopause, which can alter tear secretion and meibomian gland function (7). The age distribution in our study also reflects the natural progression of ocular senescence, with the majority of participants falling in the 60–69 age bracket. As age advances, the lacrimal functional unit undergoes involutional changes, including decreased tear volume and stability, making the elderly population universally susceptible (8).

 

Systemic Associations

A significant finding in our study was the strong association between Diabetes Mellitus and DED, with a 77.8% prevalence rate within the diabetic group (Table 3). This supports the concept of "diabetic dry eye," where hyperglycemia can lead to corneal neuropathy, reducing corneal sensation and reflex tearing. Furthermore, diabetes can damage the microvasculature of the lacrimal gland (9). Our results showing a significant association with Rheumatoid Arthritis (75.0%) and Thyroid Disorders (66.7%) further corroborate the link between autoimmune dysregulation and ocular surface inflammation. In autoimmune conditions like RA, lymphocytic infiltration of the lacrimal glands (secondary Sjögren’s syndrome) leads to aqueous deficiency. Therefore, ophthalmologists treating elderly patients with these systemic comorbidities should maintain a high index of suspicion for DED (10). Interestingly, hypertension did not show a statistically significant correlation ($p > 0.05$) in our cohort, a finding that remains debated in the literature, with some studies suggesting antihypertensive medications rather than the disease itself may precipitate dry eye (11).

 

Ocular Risk Factors

Meibomian Gland Dysfunction (MGD) was identified as a major risk factor, present in a large portion of our cohort, with 80% of MGD patients suffering from DED (Table 4). This underscores the dominance of the evaporative subtype of dry eye in the elderly. MGD leads to a lipid-deficient tear film, causing rapid tear evaporation (12).

Additionally, our study highlights the iatrogenic burden of DED. A high prevalence (69.1%) was noted in patients with a history of cataract surgery. Surgical incisions can disrupt the subbasal nerve plexus of the cornea, reducing corneal sensitivity and interrupting the neural loop of tear secretion. This "neurotrophic" element of post-surgical dry eye is often transient but can become chronic in elderly eyes with limited regenerative capacity (13). Furthermore, the 80% DED prevalence among patients on topical anti-glaucoma medications is a critical finding. Chronic exposure to preservatives like Benzalkonium Chloride (BAK) is known to cause goblet cell loss and epithelial toxicity (14). This suggests a need for preservative-free formulations in elderly glaucoma patients who are already predisposed to DED.

 

Lifestyle Factors

In the modern context, even the elderly are not immune to "Computer Vision Syndrome." Our data shows a higher frequency of DED in those with >4 hours of daily screen time (Table 5). Reduced blink rate during screen use leads to increased evaporative stress (15). Smoking was also associated with DED, likely due to direct irritative effects of smoke and systemic oxidative stress (16).

 

Limitations

The limitations of this study include its cross-sectional design, which prevents the establishment of temporal causality between risk factors and DED. The sample size of 150, while sufficient for a prevalence estimate, may limit the power of subgroup analyses for less common comorbidities. Additionally, we did not strictly differentiate between aqueous-deficient and evaporative subtypes in the final analysis, although MGD presence suggests a high burden of the latter

CONCLUSION

DED is highly prevalent (61.3%) in the elderly population, driven by a complex interplay of physiological aging, systemic diseases (Diabetes, RA), ocular conditions (MGD), and iatrogenic factors (medications, surgery). The strong association with modifiable and manageable risk factors suggests that a multidisciplinary approach—involving endocrinologists, rheumatologists, and ophthalmologists—is essential. Routine screening for DED should be mandatory in elderly patients, particularly those with diabetes or those undergoing cataract surgery, to improve visual outcomes and quality of life.

 

Declaration:

Conflicts of interests: The authors declare no conflicts of interest.

Author contribution: All authors have contributed in the manuscript.

Author funding: Nill

REFERENCES
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  2. Stapleton F, Alves M, Bunya VY, Jalbert I, Lekhanont K, Malet F, et al. TFOS DEWS II epidemiology report. Ocul Surf. 2017 Jul;15(3):334-65.
  3. Sharma A, Hindman HB. Aging: a predisposition to dry eyes. J Ophthalmol. 2014;2014:781683.
  4. Moss SE, Klein R, Klein BE. Prevalence of and risk factors for dry eye syndrome. Arch Ophthalmol. 2000 Sep;118(9):1264-8.
  5. Cho YK, Kim MS. Dry eye after cataract surgery and associated intraoperative risk factors. Korean J Ophthalmol. 2009 Jun;23(2):65-73.
  6. Zhang X, M V J, Qu Y, He X, Ou S, Bu J, et al. Dry eye management in patients treated with topical glaucoma medications: A review. Ocul Immunol Inflamm. 2019;27(3):515-22.
  7. Sullivan DA, Mereuti TO, Gipson IK, Rocha EM, Sullivan BD, Whitman MC, et al. Sex steroid regulation of ocular surface immunity in the female eye. Cornea. 2016;35(Suppl 1):S17-21.
  8. Schaumberg DA, Sullivan DA, Buring JE, Dana MR. Prevalence of dry eye syndrome among US women. Am J Ophthalmol. 2003 Aug;136(2):318-26.
  9. Manaviat MR, Rashidi M, Afkhami-Ardekani M, Shoja MR. Prevalence of dry eye syndrome and diabetic retinopathy in type 2 diabetic patients. BMC Ophthalmol. 2008 Jun;8:10.
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  11. Tang YL, Cheng YL, Yang YT, Liu JH, Cheng CY. Anti-hypertensive drugs and the risk of dry eye syndrome: a population-based study. Ophthalmic Epidemiol. 2017;24(1):65-72.
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  14. Pisella PJ, Pouliquen P, Baudouin C. Prevalence of ocular symptoms and signs with preserved and preservative free glaucoma medication. Br J Ophthalmol. 2002 Apr;86(4):418-23.
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