| Literature DB >> 22371716 |
Abdolmehdi Baghaei1, Nizal Sarrafzadegan, Katayoun Rabiei, Mojgan Gharipour, Ali Akbar Tavasoli, Shahin Shirani, Ahamad Bahonar, Amir Hossein Davarpanah, Mohammad Arash Ramezani, Roya Kelishadi.
Abstract
INTRODUCTION: The Isfahan Healthy Heart Programme (IHHP) is a community-based programme for non-communicable diseases prevention and control using both a population and high risk approach in Iran. This study demonstrated the efficacy of IHHP interventional strategies to improve lifestyle behaviours in a population at risk for developing cardiovascular diseases.Entities:
Keywords: Iran; community interventions; coronary artery disease; developing country; healthy lifestyle; risk factor
Year: 2010 PMID: 22371716 PMCID: PMC3278939 DOI: 10.5114/aoms.2010.13503
Source DB: PubMed Journal: Arch Med Sci ISSN: 1734-1922 Impact factor: 3.318
Characteristics of IHHP Adult Population Data Files
| Baseline survey | 2005 Survey | |
|---|---|---|
| Multistage (clustering, random sampling) population-based | Multistage (clustering, stratified, random sampling) age and sex based | |
| 6300 in each community | 3000 in each community | |
Demographic characteristics Biochemical indices Physical measurements BASK about healthy lifestyle, NCDs risk factors and CVDs Awareness, control and treatment indices | Demographic characteristics BASK about healthy lifestyle, NCDs risk factors and CVDs |
¶ Adopted from CINDI protocol:
• Biochemical indicators: fasting blood sugar, 2-h post-prandial blood sugar, lipid profile (i.e. total cholesterol, HDL cholesterol, LDL cholesterol, triglyceride)
• Physical measurements: blood pressure, weight, height, waist and hip circumference
• BASK: behaviour, attitude, skill and knowledge
• Awareness: individuals who know they have a diseases or risk factor/all individuals who have that
• Treatment index: patients who get medication for their diseases/all patients with that disease
• Control index: patients with controlled disease/all patients with that disease
Interventional activities for improving cardiovascular risk factors awareness and control and lifestyle modification among high risk populations
Encourage work sites to have policies in place that offer regular employee monitoring and education about CVD risk factors control (high blood pressure, dyslipidaemia, diabetes mellitus and obesity) and healthy lifestyle modification (healthy nutrition, physical activity and tobacco control) Encourage health insurance companies to offer financial incentives to employees who successfully reduce their modifiable risk factors Educate policymakers about the need for supportive environments that provide accessible and low cost cardiovascular medication programmes through hospitals, community health centres, and pharmaceutical companies Initiation and development of high risk clinics |
Promote activities and programmes that offer risk CVD factors screening and education on prevention and control Promote opportunities for students to learn about CVD risk factors, and the importance of adopting lifestyle habits to reduce risk Increase awareness about CVD risk factors, and the importance of adopting lifestyle habits through work sites, faith-based organizations, and communities Encourage all adults to be evaluated based on their individual needs and their health care providers’ recommendations Encourage all adults to know their family medical history Promote lifestyle modification programmes. Examples include weight control, physical activity, healthy eating, and stress management Implement campaigns to improve the public's awareness of the linkage between cardiovascular disease risk factors (clustering). Addressed to metabolic syndrome Support patient education efforts that increase adherence to medication regimens Increase awareness and utilization of programmes offering free or low-cost medications and health care services Develop multi-pronged campaigns to promote risk factor reduction messages. Use media channels identified in quali-tative research. Examples include grocery bags, buses and other public transportation, local newspapers, radio, and TV Work with province health plans and international plans to develop and implement policies and programmes to improve outcomes for all members with CVD risk factors (e.g. world day of high blood pressure) Conduct community-based interventions using the outlets identified in qualitative research. Examples include community health centres and other clinics, faith-based organizations, and emergency departments |
Monitor the Behavioural Risk Factor Surveillance System estimates for persons ever reporting risk levels |
Risk score prevalence of adult population (reference area versus interventional area): IHHP baseline survey
| Risk score | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | Total | ||
| 665 | 777 | 597 | 524 | 348 | 83 | 4 | 2998 | ||
| 22.2% | 25.9% | 19.9% | 17.5% | 11.6% | 2.8% | 0.1% | |||
| 499 | 879 | 838 | 355 | 198 | 74 | 13 | 2856 | ||
| 17.5% | 30.8% | 29.3% | 12.4% | 6.9% | 2.6% | 0.5% | |||
| 1164 | 1656 | 1435 | 879 | 546 | 157 | 17 | 5854 | ||
| 19.9% | 28.3% | 24.5% | 15% | 9.3% | 2.7% | 0.3% | |||
| 687 | 912 | 618 | 473 | 287 | 52 | 1 | 3030 | ||
| 22.7% | 30.1% | 20.4% | 15.6% | 9.5% | 1.7% | 0% | |||
| 609 | 973 | 814 | 301 | 123 | 58 | 2 | 2880 | ||
| 21.1% | 33.8% | 28.3% | 10.5% | 4.3% | 2% | 0.1% | |||
| 1296 | 1885 | 1432 | 774 | 410 | 110 | 3 | 5910 | ||
| 21.9% | 31.9% | 24.2% | 13.1% | 6.9% | 1.9% | 0.1% | |||
Risk factors included for risk score calculation: high blood pressure, diabetes mellitus, dyslipidaemia, obesity and overweight, smoking, metabolic syndrome
Prevalence of self-reported and documented high risk population in two surveys (2000–2005)
| Risk factor | Year of survey | Interventional area [%] | Reference area [%] | ||||
|---|---|---|---|---|---|---|---|
| Female | Male | Total | Female | Male | Total | ||
| Diabetes mellitus | 2001( | 5.1 | 3.9 | 4.5 | 3.5 | 2.4 | 3.1 |
| 2001 | 7.8 | 6.8 | 7.2 | 7.1 | 5.4 | 6.3 | |
| 2005( | 6.3 | 5.9 | 6.1 | 4.2 | 3.1 | 3.6 | |
| High blood pressure | 2001( | 11 | 5.4 | 8.3 | 9.3 | 4.9 | 7.1 |
| 2001 | 19.1 | 17.3 | 18.6 | 20.2 | 16.7 | 18.5 | |
| 2005( | 15.4 | 10.3 | 13.5 | 9.8 | 7.1 | 8.5 | |
| Dyslipidaemia | 2001( | 13.5 | 9.6 | 11.6 | 11.1 | 6.9 | 9.0 |
| 2001 | 23.6 | 21.3 | 21.7 | 20.2 | 19.4 | 19.5 | |
| 2005( | 20.9 | 14.8 | 17.9 | 14.6 | 8.8 | 11.7 | |
| Obesity and overweight | 2001 | 62.6 | 46.4 | 54.7 | 55.8 | 38.4 | 47.3 |
| Smoking | 2001( | 1.3 | 26.1 | 14.9 | 0.8 | 28.1 | 15.2 |
| 2005( | 3.6 | 34.4 | 18.4 | 3.2 | 32.6 | 17.2 | |
| Metabolic syndrome | 2001 | 37 | 13 | 25 | 33 | 8 | 21 |
| Total number of population study | 2001 | 3169 | 3006 | 6175 | 3222 | 3117 | 6339 |
| 2005 | 1257 | 1215 | 2472 | 1566 | 1502 | 3070 | |
SR – self-reported
D – documented with biochemical tests or physical examination
Awareness, treatment and control indices for diabetes mellitus, dyslipidaemia and high bood pressure among population study (interventional versus reference area): IHHP baseline data
| Indicator | Interventional area [%] | Reference area [%] | |||||
|---|---|---|---|---|---|---|---|
| Male | Female | Total | Male | Female | Total | ||
| Awareness | 54.3 | 62.3 | 58.5 | 43.4 | 46.1 | 44.7 | |
| Treatment | 31.1 | 38.2 | 34.7 | 27.6 | 29.1 | 28.4 | |
| Control | 19.8 | 22.1 | 20.9 | 14.1 | 17.2 | 15.7 | |
| Awareness | 30.2 | 55.3 | 43.6 | 28.3 | 43 | 37.1 | |
| Treatment | 21.6 | 41.8 | 32.1 | 17.8 | 33.2 | 25.8 | |
| Control | 8.9 | 24.2 | 16.7 | 7.9 | 15.1 | 11.9 | |
| Awareness | 38.1 | 48 | 45.4 | 33.5 | 49.8 | 42.1 | |
| Treatment | 16.6 | 28.2 | 23.1 | 12.3 | 28.1 | 19.8 | |
| Control | 9.1 | 15.7 | 12.6 | 7.1 | 13.1 | 10.2 | |
Indicators have significant difference between male and female in all categories (p<0.01)
Trends of some behavioural changes regarding NCDs risk factors in population with at least one major risk factor¥ (interventional vs. reference community: age adjusted)
| Subject | Item | Interventional area [%] | Reference area [%] | |||||
|---|---|---|---|---|---|---|---|---|
| Male | Female | Total | Male | Female | Total | Year of survey | ||
| Nutrition | Usual unsaturated fat consumer | 32.5 | 36.8 | 34.3 | 16.8 | 18.1 | 17.6 | 2001 |
| 46.2 | 47.3 | 46.9 | 18.3 | 18.5 | 18.4 | 2005 | ||
| Added salt to food at the table | 55.7 | 40.4 | 46.1 | 72.1 | 67.3 | 69.3 | 2001 | |
| 44.8 | 31.9 | 36.9 | 70.4 | 64 | 66.3 | 2005 | ||
| Frequent | 26.7 | 29.4 | 27.8 | 19.7 | 25.9 | 23.7 | 2001 | |
| 32.3 | 37.4 | 35.2 | 22.5 | 27.4 | 24.7 | 2005 | ||
| Smoking | Current smoker | 25.6 | 3.6 | 13.7 | 27.5 | 2.1 | 14.2 | 2001 |
| 22.3 | 2.5 | 10.4 | 25.8 | 1.9 | 9.6 | 2005 | ||
| Passive smoker | 35.1 | 25.9 | 31.2 | 39.2 | 34.1 | 37.2 | 2001 | |
| 32.6 | 19.9 | 24.9 | 37.7 | 28.5 | 32.2 | 2005 | ||
| Tried to qui in last yeary | 32.5 | 35.1 | 33.9 | 23.9 | 20.1 | 22.4 | 2001 | |
| 55.7 | 31.3 | 51.6 | 27.9 | 18.2 | 26.8 | 2005 | ||
| Physical activity | Regular daily exercise | 19.6 | 10.6 | 15.2 | 15.3 | 5.7 | 11.1 | 2001 |
| 32.7 | 25.7 | 28.1 | 19.8 | 8.5 | 14.8 | 2005 | ||
The data for 2005 were adjusted according to age, because we used an age-based sampling method in this phase.
¥ Self-reported diabetes mellitus, dyslipidaemia, obesity or high blood pressure
¶ Use of unsaturated fat is more than saturated fat
¶¶ Equal or more than 3 times per day