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Age, period and cohort analysis of high cholesterol levels in Iranian adults over a 20-year period

  • Mostafa Hosseini
  • Mahmoud Yousefifard
  • Masoud Baikpour
  • Mohammad Fayaz
  • Jalil Koohpayehzadeh
  • Ali Rafei
  • Koorosh Etemad
  • Mohammad Mehdi Gouya
  • Fereshteh Asgari
  • Kazem MohammadEmail author
Research article
  • 8 Downloads

Abstract

Purpose

Hypercholesterolemia is one of the most important modifiable risk factors of non-communicable diseases and data on their values in different societies and their trend of changes should be updated every couple of years. Many studies have focused on assessing the prevalence of high cholesterol. We must emphasise that most of these studies were cross-sectional and did not directly investigate the temporal trends of change for age, period and birth cohort (APC). The aim of this study is to evaluate the effect of age, period and birth cohort on the prevalence of borderline to high cholesterol levels in Iranian adult population.

Methods

The data were collected from 110,302 subjects between 25 and 69 years of age over the period of 1990–2011. Data from these subjects were collected by using five national cross-sectional surveys conducted in 1990–91, 1999, 2003, 2007 and 2011. The APC effect on the prevalence of borderline and high cholesterol levels was assessed using the Intrinsic Estimator model.

Results

The overall prevalence of borderline cholesterol level among male subjects was found to be lower than that of females (39.8% vs. 46.3%). Similarly, the prevalence of high cholesterol level in men was reported to be 13.1%, which was lower than the 18.0% calculated in women. The prevalence of borderline and high cholesterol levels increased with age in men between the ages of 45–49. Then it stayed quite steady and eventually declined. Then it stayed quite steady and eventually declined. The prevalence in women also increased with age, with its maximum rise after the ages of menopause and a slight decline at the ages of 65–69. As for the birth cohorts, the prevalence of borderline and high cholesterol levels followed a declining trend by going from earlier birth cohorts to the later ones.

Conclusion

The present study provides evidence that age, period and birth cohort affect the prevalence of borderline and high cholesterol levels. Thus, these factors should be considered when developing and implementing care plans for people with hypercholesterolemia.

Keywords

Lipid profile Cholesterol Epidemiology Hyperlipidemia 

Abbreviations

APC

Age, period and cohort

IE

Intrinsic estimator

SSU

Secondary sampling units

SuRFNCD

Sixth National Surveillance of Risk Factors of Non-Communicable Disease

WHO

World Health Organization

Notes

Acknowledgements

We kindly appreciate Mrs. Mehrnoosh Yazdanbakhsh for her valuable help to language editing of the paper.

Author’s contributions

Conception or design of the work: MH; MY; KM; MMG.

Data acquisition: FA; AR; KE; JK; MB.

Analysis: MH, MY.

Interpretation of data for the work: MH; MY; KM; MY.

Drafting the work: MY; MB; MH.

Revising draft critically for important intellectual content: All authors.

Funding

This research has been supported by Tehran University of Medical Sciences & health Services grant (ID number: 93–04–27-26163).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no competing interests.

Ethics approval and inform consent

The study designs were approved by Tehran University of Medical Sciences Ethics Committee. In this study an informed consent was given from participants.

Role of the sponsor

The Tehran University of Medical Sciences had no role in the design and conduct of the study; collection, management, and analysis of the data.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Mostafa Hosseini
    • 1
  • Mahmoud Yousefifard
    • 2
  • Masoud Baikpour
    • 3
  • Mohammad Fayaz
    • 4
  • Jalil Koohpayehzadeh
    • 5
  • Ali Rafei
    • 6
  • Koorosh Etemad
    • 4
    • 6
  • Mohammad Mehdi Gouya
    • 6
  • Fereshteh Asgari
    • 6
  • Kazem Mohammad
    • 1
    Email author
  1. 1.Department of Epidemiology and Biostatistics, School of Public HealthTehran University of Medical SciencesTehranIran
  2. 2.Prevention of Cardiovascular Disease Research CenterShahid Beheshti University of Medical SciencesTehranIran
  3. 3.Department of Neurology, School of MedicineTehran University of Medical SciencesTehranIran
  4. 4.Department of Epidemiology and Biostatistics, School of Public HealthShahid Beheshti University of Medical SciencesTehranIran
  5. 5.Department of Community Medicine, Preventive medicine & Public Health Research CenterIran University of Medical SciencesTehranIran
  6. 6.Center for Disease Control, Ministry of Health and Medical EducationTehranIran

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