Healthcare-Delivered Lifestyle Recommendations and Their Association with Health Behaviors in Iran

Based on the 2021 WHO STEPS survey, this study reveals that while healthcare-delivered lifestyle counseling in Iran is positively associated with improved health behaviors, its delivery remains inconsistent across sociodemographic and regional groups, highlighting the need for more equitable and targeted preventive strategies to combat non-communicable diseases.

The Gist

Imagine Iran's healthcare system as a massive, nationwide garden. The goal is to keep the plants (the people) healthy and prevent them from withering due to "non-communicable diseases" like heart disease, diabetes, and cancer. These diseases are mostly caused by bad habits—eating too much junk, not moving enough, smoking, or carrying extra weight.

The doctors and nurses are the gardeners. Their job is to walk through the garden and give specific advice to the plants: "You need more water," "Stop eating that salty soil," or "Move your roots to get more sun."

This study is like a garden inspection that took a snapshot of 27,704 plants across Iran to answer two big questions:

1. Are the gardeners actually giving advice?
2. Does that advice help the plants grow better?

Here is what the inspection found, broken down simply:

1. The "Menu" of Advice

The gardeners had a checklist of 10 specific things they could tell people to do:

• Eat better: More fruits/veggies, less salt, less sugar, less red meat, more fish, and more whole grains.
• Move more: Exercise regularly.
• Manage weight: Lose weight or stay at a healthy size.
• Quit smoking: Stop or never start smoking.

The Result: Only about 1 in 3 people (33%) got the full menu of advice. About 1 in 10 people (10%) got no advice at all. It was like a restaurant where some customers got a full 10-course meal, while others left with an empty plate.

2. Who Got the Best Service? (The "VIP" Treatment)

The study found that the gardeners weren't giving advice randomly; they were following a "risk-based" strategy, but it was a bit uneven.

• The "Sick" Plants Got More Attention: People who already had health problems (like diabetes, high blood pressure, or heart disease) or who were overweight got more advice. This makes sense; the gardeners were trying to fix the wilting plants first.
• Women vs. Men: Women generally got more advice than men, likely because women visit doctors more often (perhaps for check-ups or family planning). The only exception was smoking advice, which men got more of.
• Rural vs. City: Surprisingly, people in rural areas got more advice than city dwellers. It's as if the gardeners in the countryside were more eager to hand out flyers than those in the busy city centers.
• The Smoking Blind Spot: Even though smoking is a huge killer, advice on quitting was the least common recommendation of all. It was the "forgotten vegetable" in the garden.

3. The Geography of Health (The Map Problem)

This is where the garden looked a bit patchy.

• The Northwest: These provinces were the "Green Zones." They had the highest rate of people getting all 10 pieces of advice.
• The East: These provinces were the "Dry Zones." They had the lowest rate of advice.
• The Irony: The "Dry Zones" (East) actually had some of the worst health risks (high obesity, high salt intake), yet they received the least help. Meanwhile, the "Green Zones" (Northwest) had high smoking rates but were getting the most advice. It's like giving the most water to the plants that are already thriving, while the thirsty ones in the east are left dry.

4. Does the Advice Work? (The Growth Test)

The most important question: Did the plants grow better after getting advice? Yes.

• The "Exercise" Effect: People told to exercise were 21% more likely to actually move their bodies.
• The "Quit" Effect: Smokers who were told to quit were almost twice as likely to try quitting.
• The "Diet" Effect: This was a "dose-response" relationship. Think of it like fertilizer:
  • Getting 1 or 2 diet tips helped a little.
  • Getting 3 to 5 tips helped more.
  • Getting all 6 diet tips made people 32% more likely to have a truly healthy diet.
  • Analogy: It's not just about getting a single seed; it's about getting the whole garden kit to see real growth.

5. The Takeaway

The study concludes that Iran's doctors are doing a good job of giving advice to people who are already sick or at high risk, and that advice does work. However, the system has two major flaws:

1. Smoking advice is being ignored, even for heavy smokers.
2. The help isn't reaching the right places. The provinces that need the most help (the East) are getting the least.

The Final Lesson:
To save the garden, the gardeners need to stop just watering the plants that are already green. They need to:

• Give everyone the full "10-item menu," especially the smoking advice.
• Make sure the "Dry Zones" in the East get the same level of care as the Northwest.
• Train more gardeners to be consistent, so that no matter where you live in Iran, you get the advice you need to stay healthy.

Technical Summary

1. Problem Statement

Non-communicable diseases (NCDs) account for approximately 86% of all deaths in Iran, driven primarily by modifiable lifestyle risk factors such as poor diet, physical inactivity, tobacco use, and obesity. While healthcare providers are pivotal in delivering preventive lifestyle counseling, there is a significant knowledge gap regarding:

• The extent to which lifestyle recommendations are actually delivered across different sociodemographic and clinical subgroups in Iran.
• Whether receiving these recommendations translates into measurable positive behavior changes.
• The existence of geographic and equity disparities in the delivery of preventive care.

2. Methodology

• Study Design: A secondary cross-sectional analysis of the 2021 WHO STEPwise approach to Surveillance (STEPS) survey in Iran.
• Data Source: Nationally representative data collected from 27,704 adults (aged ≥18 years) across all 31 provinces of Iran. The dataset included 28,821 estimated participants, with exclusions for missing lifestyle recommendation data.
• Data Collection:
  • Questionnaires: Covered demographics, medical history, lifestyle habits, and self-reported receipt of 10 specific lifestyle recommendations within the past 12 months.
  • Physical Measurements: Height, weight, waist/hip circumference, and blood pressure.
  • Laboratory: Serum and spot urine samples (for sodium estimation).
• Variables:
  • Exposure: Receipt of 10 lifestyle recommendations (tobacco cessation, salt reduction, fruit/veg intake, red meat reduction, fat reduction, fish intake, whole grains, sugar reduction, exercise, weight management).
  • Outcomes: Health behaviors including physical activity levels (MET-minutes/week), dietary quality scores (0–6 scale), tobacco cessation attempts, and salt intake appropriateness.
  • Covariates: Age, sex, residence (urban/rural), education, employment, wealth index, insurance status, and comorbidities (diabetes, hypertension, CVD, etc.).
• Statistical Analysis:
  • Weighted prevalence estimates with 95% Confidence Intervals (CIs) to ensure national and provincial representativeness.
  • Logistic Regression: Used to assess associations between recommendation receipt and binary outcomes.
  • Ordinal Logistic Regression: Used for the dietary quality score.
  • Models were adjusted for age, sex, and a stepwise selection of covariates (p < 0.2).

3. Key Contributions

• Comprehensive National Assessment: First study to map the distribution of 10 specific lifestyle counseling types across all sociodemographic and clinical subgroups in Iran using the most recent STEPS data.
• Evidence of Effectiveness: Provides empirical evidence linking provider-delivered counseling to actual behavioral changes in a low-to-middle-income country (LMIC) context.
• Identification of Systemic Gaps: Highlights specific disparities, particularly the under-delivery of tobacco counseling and significant geographic inequities between eastern and northwestern provinces.
• Dose-Response Validation: Demonstrates a dose-response relationship between the number of nutritional recommendations received and the quality of diet.

4. Key Results

A. Distribution of Recommendations

• Overall Coverage: Only 33.4% of participants received all 10 recommendations, while 10.7% received none.
• Most Common: Advice on increasing fruit/vegetable intake (77.0%) and physical activity (72.3%).
• Least Common: Tobacco non-initiation/cessation advice (49.8%), which was the least delivered across all groups.
• Sociodemographic Patterns:
  • Gender: Females received more recommendations generally, except for tobacco cessation (more common in males).
  • Residence: Rural residents received more advice than urban residents.
  • Comorbidities: A "risk-based" response was observed; individuals with ≥2 comorbidities received more recommendations than healthy individuals. However, tobacco counseling did not increase with comorbidity count.
• Geographic Disparities: The northwestern provinces had the highest coverage of all 10 recommendations, while eastern provinces (e.g., Sistan-Baluchestan) had the lowest, despite having high NCD risk profiles.

B. Association with Health Behaviors

Receiving recommendations was significantly associated with positive behavior changes:

• Tobacco Cessation: Current smokers who received cessation advice were 1.83 times more likely to attempt quitting (aOR: 1.83, 95% CI: 1.49–2.24).
• Physical Activity:
  • Receiving exercise advice increased the likelihood of sufficient physical activity by 21% (aOR: 1.21).
  • Receiving weight management advice increased this likelihood by 15% (aOR: 1.15).
• Dietary Quality: A clear dose-response relationship was found. Participants receiving all 6 nutritional recommendations had 1.32 times higher odds of having a better diet score compared to those receiving ≤2 (aOR: 1.32, 95% CI: 1.24–1.41).
• Salt Intake: No significant association was found between salt reduction advice and actual salt intake levels.

5. Significance and Implications

• Validation of Provider Role: The study confirms that healthcare provider counseling is an effective tool for behavior modification in Iran, supporting the integration of structured lifestyle counseling into routine primary care.
• Targeting Inefficiencies: While providers effectively target patients with metabolic risks (diabetes, obesity), they fail to consistently target high-risk behavioral groups (smokers, alcohol users) with appropriate counseling, particularly regarding tobacco.
• Equity Concerns: The geographic mismatch—where high-risk eastern provinces receive the least counseling—suggests a critical need for resource redistribution and capacity building in underserved regions.
• Policy Recommendations:
  • Implement standardized training for healthcare workers, particularly in rural areas, focusing on behavioral counseling skills.
  • Develop digital/e-learning platforms to improve provider competency.
  • Create targeted interventions to ensure tobacco cessation advice reaches high-risk groups regardless of comorbidity status.
  • Address regional disparities to ensure equitable access to preventive services nationwide.

Limitations: The cross-sectional design prevents causal inference (temporality), and reliance on self-reported data may introduce recall or social desirability bias. The study also did not assess the quality or duration of the counseling sessions.