Data for Compliance to Anti-Diabetic Drugs India 

1. Demographics and Socio-economic Characteristics of Participants (n=470):

• Age:
  • Mean age: 42.64 years (SD 15.70). This indicates a relatively wide age range among participants.
• Gender:
  • Males: 66.4% (312/470) – A clear male predominance in the study population.
  • Females: 33.6% (158/470)
• Education:
  • Illiterate: 20.6% (97/470)
  • Literate: 79.4% (373/470) – The majority of participants were literate.
• Marital Status:
  • Married: 76.8% (361/470) – A large majority.
  • Single: 23.2% (109/470)
• Monthly Per Capita Family Income:
  • Less than Rs. 1000.00: 36.6% (172/470) – A significant portion of participants were in a lower-income bracket.
  • 1000.00 and above: 63.4% (298/470)

1. Diabetes-Specific Characteristics:

• Duration of Diabetes:
  • Less than 5 years: 46.1% (217/470) – Nearly half had relatively new-onset diabetes.
  • Five years and more: 53.8% (253/470) – Slightly more than half had long-standing diabetes.
• Anti-diabetic Medication Regimen:
  • Oral Hypoglycaemic Agents (OHA) alone: 48.9% (225/470) – The most common treatment approach.
  • Insulin alone: 15.3% (calculated: 3% of 470≈72 participants, although the exact count is not given in the text).
  • Both OHA and Insulin: 36.8% (173/470)

III. Adherence to Diabetes Management:

• Compliance to Anti-diabetic Drugs:
  • Compliant: 57.7% (271/470) – A concerning finding, as nearly half are non-compliant.
  • Non-compliant: 42.3% (199/470)
• Adherence to Lifestyle Modifications:
  • Followed prescribed diet plan: Only 36.4% (171/470)
  • Followed exercise schedule: Only 27.0% (127/470) – Very low adherence to exercise.
• Knowledge about Diabetes Complications:
  • Adequate or some knowledge: 59% (279/470)
  • No knowledge: Nearly 41% (191/470) – A substantial proportion lack basic understanding of complications.

1. Factors Influencing Compliance to Anti-diabetic Drugs (Univariate Analysis):

• Age:
  • Compliance decreased significantly with increasing age (p = 0.039).
  • Lowest compliance (48.3%) was observed in the 60 years and above age group.
  • Implication: Older patients may face challenges with medication adherence, possibly due to polypharmacy, cognitive decline, or physical limitations.
• Gender:
  • Compliance rate was significantly lower among males (p = 0.006).
  • Implication: Males in this population appear to be less compliant with their anti-diabetic medications compared to females, suggesting a need for gender-specific interventions.
• Education:
  • Compliance was significantly lower among those who were illiterate (p = 0.022).
  • Implication: Literacy levels are crucial for understanding medication instructions and the importance of adherence. Simplified communication and educational materials may be needed for illiterate patients.
• Monthly Per Capita Family Income:
  • Compliance was significantly lower among those with a monthly per capita income of less than Rs 1000.00 (p = 0.03).
  • Implication: Financial constraints can be a significant barrier to medication adherence, potentially due to inability to afford drugs, transportation to clinics, or prioritizing other needs.
• Marital Status:
  • No significant association with marital status (p > 0.05).

Overall Summary and Key Takeaways:

This study reveals critical insights into a cohort of individuals with diabetes, likely in India given the income figures. There’s a notable male predominance. While most are literate and married, a significant proportion live on low incomes.

More concerning are the findings related to diabetes management:

• Suboptimal Medication Compliance: Nearly half of the participants were non-compliant with their anti-diabetic drugs.
• Poor Lifestyle Adherence: Adherence to diet and exercise was remarkably low.
• Knowledge Gaps: A substantial percentage lacked knowledge about diabetes complications.

The univariate analysis highlights specific vulnerable groups for poor medication compliance: older individuals (60+ years), males, illiterate individuals, and those with low income. These factors are crucial for designing targeted interventions to improve diabetes management and prevent complications in similar populations. The study did not find marital status to be a significant factor in compliance.

You got it! Based on the provided text, I will create a table summarizing the demographic, socioeconomic, and diabetes-specific characteristics of the study participants.

Baseline Characteristics of Study Participants (n=470)

Notes:

• *The exact count for “Insulin alone” was not provided in the text, only the percentage. 15.3% of 470≈72 participants.
• **The counts for “Not Followed” for diet and exercise plans were not explicitly provided but can be calculated:
  • Diet Not Followed: 470−171=299
  • Exercise Not Followed: 470−127=343

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