New anthropometric indices or old ones: Which is the better predictor of body fat?

Ehrampoush, Elham; Arasteh, Peyman; Homayounfar, Reza; Cheraghpour, Makan; Alipour, Meysam; Naghizadeh, Mohammad Mehdi; Hadibarhaghtalab, Maryam; Davoodi, Sayed Hossein; Askari, Alireza; Razaz, Jalaledin Mirzay

doi:10.1016/j.dsx.2016.08.027

Cited by 46 publications

(36 citation statements)

References 35 publications

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“…Given the constraints of funding for our study, we were unable to collect more appropriate measures. Although there are many anthropometric measures available to predict body fat, the BMI was found to correlate best with total body fat as determined by bioelectrical impedance . Therefore, other anthropometric measures, such as the waist‐to‐hip ratio and waist‐to‐height ratio, were not used.…”

Section: Discussionmentioning

confidence: 99%

“…Although there are many anthropometric measures available to predict body fat, the BMI was found to correlate best with total body fat as determined by bioelectrical impedance. 40 Therefore, other anthropometric measures, such as the waist-to-hip ratio and waist-to-height ratio, were not used. In addition to this effect, the actual adipose deposition within a particular muscle is not known precisely and is not accurately predicted by the BMI.…”

Section: Study Limitationsmentioning

confidence: 99%

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Quantitative Ultrasound Assessment of Myofascial Pain Syndrome Affecting the Trapezius: A Reliability Study

Kumbhare

Shaw

Grosman‐Rimon

et al. 2017

J of Ultrasound Medicine

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Section: Discussionmentioning

confidence: 99%

Section: Study Limitationsmentioning

confidence: 99%

Quantitative Ultrasound Assessment of Myofascial Pain Syndrome Affecting the Trapezius: A Reliability Study

Kumbhare

Shaw

Grosman‐Rimon

et al. 2017

J of Ultrasound Medicine

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“…The results of that study indicated that in both men and women, the strongest correlations were seen between body fat percentage with BMI, Abdominal Volume Index (AVI) and WHtR (r > 7.9). BMI, WHtR and AVI in men and BAI, BMI and WHtR in women showed the most accuracy for estimating body fat percentage, respectively [16].…”

Section: Discussionmentioning

confidence: 91%

Relationship Between the Body Fat Percentage and Anthropometric Measurements in Athletes Compared with Non-Athletes

Ashtary‐Larky

Nazary-Vanani

Hosseini

et al. 2018

Zahedan J Res Med Sci

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Background: Different indices have been introduced to assess the anthropometric status and body composition. Objectives: This study was conducted to compare anthropometric indices in male and female athletes and non-athletes. Methods: This cross sectional study has been conducted on 529 (324 men and 205 women) athletes (age, 32.8 ± 9.2 years) and 840 (457 men and 383 women) non-athletes (age, 33.9 ± 10.4 years) in fitness clubs in Ahvaz city. Individuals were selected by cluster sampling. Weight, body mass index, body fat percentage, waist-to-hip ratio, waist-to-height ratio and body surface area were measured. The relationship between anthropometric indices with body fat percentage was studied. Statistical analysis was performed using SPSS version 22. Normality of the data was assessed by using the Kolmogorov-Smirnov test. To compare variables between the two groups, the t-test and Mann-Whitney test were used. The relationship between anthropometric indices was assessed by linear regression. Results: Waist-to-hip ratio in male athletes and non-athletes had the most correlation with body fat percentage (r = 0.821 and r = 0.889, respectively). Body mass index in female athletes and non-athletes had the most correlation with percentage of body fat (r = 0.780 and r = 0.863, respectively). Conclusions: The results of this study show that the use of appropriate anthropometric indicators can be influenced by gender and physical activity (athletes or non-athletes).

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“…For example, high concentrations of leptin have been reported in the articular fluid, and cartilage of the patients with cartilage diseases (35). In obese people, increased leptin circulation can be largely attributed to systemic mild inflammation listed (36,37). In this sense, it makes obese people prone to not only the cardio-metabolic disease, but also inflammatory degenerative diseases such as osteoarthritis.…”

Section: Discussionmentioning

confidence: 99%

Some Adipose Derived Hormones in Association with the Risk of Knee Osteoarthritis

et al. 2017

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Background: Knee osteoarthritis (OA) is the most common form of arthritis and is the major cause of pain and disability in the elderly. The relationship between obesity and increased risk of knee osteoarthritis was known for many years. Since then, many studies have shown the relationship between knee osteoarthritis and obesity. Objectives: In this study, we tried to evaluate whether compared to weight, the adipose tissue has a stronger correlation with the occurrence of knee osteoarthritis. Methods: In a cross-sectional study that was a part of the Fasa knee osteoarthritis registry (FOAS), 131 patients with OA were sex matched with 262 patients in the control group. Serum samples of the patients, the Western Ontario and McMaster universities arthritis index (WOMAC) questionnaire and demographic data were collected. Leptin and adiponectin as hormones secreted by the adipose tissue were measured. Results: Weight, body mass index (BMI), and waist circumference (WC) were significantly different between the two groups (P < 0.001). The Kellgren and Lawrence (K&L) score was significantly higher among the patients (P < 0.001). Pain levels in patients with OA were also significantly higher compared to those in the control group (P < 0.001). Both leptin and adiponectin concentrations were higher in the OA patients. Adiponectin had a negative relationship with BMI in the OA group (r = 0.570, P < 0.001), but leptin had a positive relationship with BMI (r = 0.781, P < 0.001). In the OA group, both adipokines had higher levels in female patients compared to male patients. Conclusions:The results of the current study showed that levels of hormones secreted from the adipose tissue, in people with knee OA, were higher compared to the control group, indicating the possible effect of these hormones on the process of osteoarthritis. Finally, we showed that after adjusting for age, sex, and BMI, leptin and adiponectin are significantly correlated with the amount of pain indicating higher levels of leptin and adiponectin lead to increased pain.

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New anthropometric indices or old ones: Which is the better predictor of body fat?

Cited by 46 publications

References 35 publications

Quantitative Ultrasound Assessment of Myofascial Pain Syndrome Affecting the Trapezius: A Reliability Study

Quantitative Ultrasound Assessment of Myofascial Pain Syndrome Affecting the Trapezius: A Reliability Study

Relationship Between the Body Fat Percentage and Anthropometric Measurements in Athletes Compared with Non-Athletes

Some Adipose Derived Hormones in Association with the Risk of Knee Osteoarthritis

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