2022
DOI: 10.4081/jphr.2021.2475
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Prevalence of Overweight and Obesity in Iranian Population: A Population-Based Study in Northwestern of Iran

Abstract: Background: Overweight and obesity and its problems are the most important health and nutrition issues of adolescents in developed and developing countries. This study aimed to determine prevalence of overweight and obesity among studied population.Design and Methods: This Persian Cohort Study is a population-based study of 10,000 men and women, aged 35-70 years in northwest of Iran. Anthropometric parameters such as height, weight, waist circumference and hip circumference were measured by interviewers. Body … Show more

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Cited by 22 publications
(21 citation statements)
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“…This is in tandem with a gradual trend of recent reports demonstrating female preponderance of central obesity. [7][8][9][10][11][12][13][14][15][16][17] The reason for this gradual trend reversal is unclear. However, one of our hypotheses includes a possible role played by gender equity or inequality.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…This is in tandem with a gradual trend of recent reports demonstrating female preponderance of central obesity. [7][8][9][10][11][12][13][14][15][16][17] The reason for this gradual trend reversal is unclear. However, one of our hypotheses includes a possible role played by gender equity or inequality.…”
Section: Discussionmentioning
confidence: 99%
“…[4][5][6] However, there has been a gradual trend of reports demonstrating a higher prevalence of central obesity among women. [7][8][9][10][11][12][13][14][15][16][17] In a systematic review and meta-analysis by Bashir et al, [8] 39% of adults, about 46.8 million in Nigeria, are estimated to be centrally obese. They further analysed that 54% of adult females and 13% of adult males are centrally obese.…”
Section: 2023________________________259mentioning
confidence: 99%
“…To our knowledge, this is the first population-based study used various machine learning algorithms to detect at-risk people based on BMI data. There are many kind of machine learning algorithms have been developed, and along with the most popular Bayesian algorithm, and LR, it is hard to make a proper algorithm for clinical decision makings and clinical practices (9). Therefore, along with the easiness in application, the performances of different algorithms should be considered.…”
Section: Discussionmentioning
confidence: 99%
“…In developing countries, including Iran, the prevalence of obesity has risen over the last 20 years, according to recent research. More than half of Iranian adults, or approximately 30% of children, are overweight or obese, according to the most recent WHO study (3). The levels of moderate to intense physical activity in children and adolescents with obesity are much lower than international recommendations, and basic interventions are necessary to achieve these recommended levels among obese people (4).…”
Section: Introductionmentioning
confidence: 99%