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Systematic Review
Food frequency questionnaires developed and validated in Iran: a systematic review
Arezoo Rezazadeh, Nasrrin Omidvar, Katherine L. Tucker
Epidemiol Health. 2020;42:e2020015.   Published online March 30, 2020
DOI: https://doi.org/10.4178/epih.e2020015
  • 33,405 View
  • 347 Download
  • 28 Web of Science
  • 25 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
To systematically review and identify food frequency questionnaires (FFQs) developed for the Iranian population and their validation and reproducibility in order to determine possible research gaps and needs.
METHODS
Studies were selected by searching for relevant keywords in the PubMed, Scopus, Science Direct, Google Scholar, SID, and Iranmedex databases, unpublished data, and theses in November 2016 (updated in September 2019). All English-language and Persian-language papers were included. Duplicates, articles with unrelated content, and articles only containing a protocol were excluded. The FFQs were categorized based on: (1) number of food items in to short (≤80 items) and long (>80 items) and; (2) the aim of the FFQ to explore total consumption pattern/nutrients (general) or to detect specific nutrient(s)/food group(s) (specialized).
RESULTS
Sixteen reasonably validated questionnaires were identified. However, only 13 presented a reproducibility assessment. Ten FFQs were categorized as general (7 long, 3 short) and 6 as specialized (3 long, 3 short). The correlation coefficients for nutrient intake between dietary records or recalls and FFQs were 0.07-0.82 for long (general: 0.07-0.82 and specialized: 0.26-0.67) and 0.20-0.67 for short (general: 0.24-0.54 and specialized: 0.20-0.42) FFQs. Long FFQs showed higher validity and reproducibility than short FFQs. Reproducibility of FFQs was acceptable (0.32-0.89). The strongest correlations were reported by studies with shorter intervals between FFQs.
CONCLUSIONS
FFQs designed for the Iranian population appear to be appropriate tools for dietary assessment. Despite their acceptable reproducibility, their validity for assessing specific nutrients and their applicability for populations other than those they were developed for may be questionable.
Summary

Citations

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    Nutrients.2026; 18(16): 2712.     CrossRef
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Original Articles
Application of the World Health Organization Quality of Life Instrument, Short Form (WHOQOL-BREF) to patients with cataract
Ali Gholami, Mahmood Tavakoli Araghi, Fatemeh Shamsabadi, Mahdiye Bayat, Fatemeh Dabirkhani, Farhad Moradpour, Kamyar Mansori, Yousef Moradi, Abdolhalim Rajabi
Epidemiol Health. 2016;38:e2016005.   Published online February 4, 2016
DOI: https://doi.org/10.4178/epih.e2016005
  • 43,111 View
  • 419 Download
  • 21 Web of Science
  • 20 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
Cataract is a prevalent disease in the elderly, and negatively influences patients’ quality of life. This study was conducted to study the application of the World Health Organization Quality of Life Instrument, Short Form (WHOQOL-BREF) to patients with cataract.
METHODS
In this cross-sectional study, 300 patients with cataract were studied in Neyshabur, Iran from July to October 2014. The Iranian version of the WHOQOL-BREF questionnaire was used to measure their quality of life. Cronbach’s alpha coefficient, Pearson’s correlation coefficient, the paired t-test, the independent t-test, and a linear regression model were used to analyze the data in SPSS version 16.0 (SPSS Inc., Chicago, IL, USA).
RESULTS
The mean age of the participants was 68.11±11.98 years, and most were female (53%). The overall observed Cronbach’s alpha coefficient for the WHOQOL-BREF was 0.889, ranging from 0.714 to 0.810 in its four domains. The total mean score of the respondents on the WHOQOL-BREF was 13.19. The highest and lowest mean scores were observed in the social relationship domain (14.11) and the physical health domain (12.29), respectively. A backward multiple linear regression model found that duration of disease and marital status were associated with total WHOQOL scores, while age, duration of disease, marital status, and income level were associated with domains one through four, respectively (p<0.05).
CONCLUSIONS
The reliability analysis conducted in this study indicated that the WHOQOL-BREF scale exhibited an acceptable degree of internal consistency in the measurement of the quality of life of patients with cataract. It was also found that the patients with cataract who were surveyed reported a relatively moderate quality of life.
Summary

Citations

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Reproducibility of information on cardiovascular risk factors and self-rated health status collected in the National Health Insurance Corporation health examination among 94,183 Korean military personnel.
Ki Ho Park
Korean J Epidemiol. 2005;27(2):51-60.
  • 65,535 View
  • 16 Download
AbstractAbstract PDF
Abstract
While health examination data from the National Health Insurance Corporation (NHIC) have been used by many researchers for investigating the risk factors of cardiovascular disease or cancer, most studies have used measurements made on a single occasion at the start of the study (baseline measurements only) or 2 initial measurements in the beginning of the study period for their analyses. This study was conducted to investigate the reproducibility of information on cardiovascular risk factors and self-rated health status collected in the NHIC health examinations by performing measurement and re-measurement data analysis techniques. A total of 94,183 military personnel, including commissioned and noncommissioned officers and public service workers, who had participated in both the 1998 and 2001 NHIC health examinations were included in this study. Reproducibility was excellent regarding height, weight, and body mass index. However, reproducibility was unsatisfactory for cardiovascular risk factors and self-rated health status. In particular, low reproducibility was exhibited for blood pressure and physical exercise in both men and women. This study emphasizes the importance of considering regression dilution biases when conducting studies for disease risk factors using large population cohort data.
Summary

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