Shang-Ping Hung1, Ching-Yu Chen2, Fei-Ran Guo3, Ching-I Chang4, Chyi-Feng Jan5. 1. Department of Family Medicine, Chi Mei Liouying Hospital, No. 201, Taikang, Liuying Dist., Tainan City 736, Taiwan, ROC. 2. Department of Family Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, No. 7, Chung San South Rd., Taipei 100, Taiwan, ROC; Institute of Population Health Sciences, National Health Research Institutes, 10F., No.3, Park St., Nangang Dist., Taipei City 115, Taiwan, ROC. 3. Department of Family Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, No. 7, Chung San South Rd., Taipei 100, Taiwan, ROC. 4. Institute of Population Health Sciences, National Health Research Institutes, 10F., No.3, Park St., Nangang Dist., Taipei City 115, Taiwan, ROC. 5. Department of Family Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, No. 7, Chung San South Rd., Taipei 100, Taiwan, ROC. Electronic address: jcf036@ntu.edu.tw.
Abstract
INTRODUCTION: Obesity screening among young adult groups is meaningful. Body mass index (BMI) is limited to discriminate between fat and lean mass. Asian young adult group tends to have lower BMI and higher body fat percentage (BFP) than other ethnic groups. Accuracy of obesity screening by commonly used BMI criteria is unclear in young Taiwanese population. MATERIAL AND METHODS: A total of 894 young adults (447 males and 447 females) aged 20-26 were recruited. BMI, regional fat percentage and BFP determined by bioelectrical impedance analysis (BIA) were measured. BMI cutoff points were based on the criteria adopted by the Ministry of Health and Welfare in Taiwan. Cutoff points of low or high BFP were defined as 24% in men and 31.4% in women. RESULTS: Prevalence of BFP defining obesity was 14.8% in young men and 27.3% in young women. 23.2% of young men and only 8.3% of young women were classified to overweight or obesity categories according to the BMI criteria. Disagreement was noticed mainly among overweight males and normal weight females. 68.7% of BMI defining overweight young men had low BFP; however, 29.7% of young women of BMI defining normal group had high BFP. Up to 69.7% of young women with high BFP would be missed by BMI category only. CONCLUSION: Disagreement between BMI and BFP was significant among young adults, especially young women. We suggest combining BMI and BIA for obesity and overweight screening in Asian young adults.
INTRODUCTION:Obesity screening among young adult groups is meaningful. Body mass index (BMI) is limited to discriminate between fat and lean mass. Asian young adult group tends to have lower BMI and higher body fat percentage (BFP) than other ethnic groups. Accuracy of obesity screening by commonly used BMI criteria is unclear in young Taiwanese population. MATERIAL AND METHODS: A total of 894 young adults (447 males and 447 females) aged 20-26 were recruited. BMI, regional fat percentage and BFP determined by bioelectrical impedance analysis (BIA) were measured. BMI cutoff points were based on the criteria adopted by the Ministry of Health and Welfare in Taiwan. Cutoff points of low or high BFP were defined as 24% in men and 31.4% in women. RESULTS: Prevalence of BFP defining obesity was 14.8% in young men and 27.3% in young women. 23.2% of young men and only 8.3% of young women were classified to overweight or obesity categories according to the BMI criteria. Disagreement was noticed mainly among overweight males and normal weight females. 68.7% of BMI defining overweight young men had low BFP; however, 29.7% of young women of BMI defining normal group had high BFP. Up to 69.7% of young women with high BFP would be missed by BMI category only. CONCLUSION: Disagreement between BMI and BFP was significant among young adults, especially young women. We suggest combining BMI and BIA for obesity and overweight screening in Asian young adults.
Authors: S V Kellesarian; V R Malignaggi; T V Kellesarian; A A Al-Kheraif; M M Alwageet; H Malmstrom; G E Romanos; F Javed Journal: Int J Impot Res Date: 2017-03-09 Impact factor: 2.896
Authors: Meizi Wang; Jianhua Ying; Ukadike Chris Ugbolue; Duncan S Buchan; Yaodong Gu; Julien S Baker Journal: Int J Environ Res Public Health Date: 2021-04-27 Impact factor: 3.390