Body mass index and body fat percentage in assessing obesity: An analytical study among the adolescents of Dibrugarh, Assam

Saikia, Dimpymoni; Ahmed, Sultana Jesmin; Saikia, Hiranya; Sarma, Ratna

doi:10.4103/ijph.ijph_24_18

Cited by 12 publications

(12 citation statements)

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“…Our findings in mean FM and FFM are similar to Karbi Anglong adolescent girls of Assam (Sharma and Mondal 2018) as they had more muscle mass than fat mass. In another study conducted among adolescents of Dibrugarh, Assam, 16.6% girls were overweight and 11.1% were obese (Saikia et al 2018) which is less than what was observed in this study.…”

Section: Discussioncontrasting

confidence: 77%

Assessment of Nutritional Status and Body Composition in Tibetan Adolescent girls of Kangra district, Himachal Pradesh

Singh

Kshatriya

2020

Anthropological Review

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Malnutrition among adolescents is an important public health issue in India. The aim of the present study was to assess nutritional status and body composition characteristics of adolescent girls and their interrelationships with physical activity and socioeconomic status (SES). Nutritional status and body composition characteristics were assessed in terms of body mass index (BMI), upper arm muscle area by height (UAMAH) and percent body fat (PBF) among 276 Tibetan adolescent girls from Kangra district, Himachal Pradesh. Overall, 12.7% of the girls were in the wasting category (using Z-score based classification for UAMAH) and 9.8% were thin. About 16.3% girls were obese. Significant variabilities of PBF have been observed with respect to age and levels of physical activity and wasting. Adolescent girls were observed to have higher lean body mass than body fat.

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Section: Discussioncontrasting

confidence: 77%

Assessment of Nutritional Status and Body Composition in Tibetan Adolescent girls of Kangra district, Himachal Pradesh

Singh

Kshatriya

2020

Anthropological Review

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“…In addition, BMI and BF% had a significant positive correlation (r=0.70, p<0.001). 33 According to the thrifty genotype hypothesis, the predisposition to diabetes must have evolved as an adaptive trait in certain environmental situations, which later turned disadvantageous because of the changes in lifestyle. 34 Early prevention or treatment of childhood obesity focusing on lifestyle factors may be critical for preventing diabetes in South Asians.…”

Section: Discussionmentioning

confidence: 99%

Indian Phenotype Characteristics Among Patients with Type 2 Diabetes Mellitus: Insights from a Non-interventional Nationwide Registry in India

Kalra¹,

Mithal²,

Zargar³

et al. 2022

Endocrinology

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Background: Indian patients with type 2 diabetes mellitus (T2D) constitute one-sixth of affected adults globally. Here, we evaluate the association of body mass index (BMI) with body fat percentage (BF%) and glycated haemoglobin (HbA1c) levels among patients with T2D in India. Method: This was a cross-sectional Indian registry study across 845 geographically diverse zones between December 2017 and August 2019. Results: Of 37,927 patients, 55.6% were men, with a mean ± standard deviation age of 54.2 ± 11.5 years and HbA1c of 8.3 ± 1.71%. Mean ± standard deviation BMI and BF% were 27.0 ± 4.6 kg/m2 and 32.0 ± 8.0%, respectively. Overall, 15.4% of patients were overweight, and 25.0% were obese. Despite fewer males (20.7%) having BMI-based obesity than females (31.2%), around three-quarters of both sexes had BF%-defined obesity (males 77.2%; females 71.2%). One-third of males (34.6%) and 41.9% of females had BF%-defined obesity despite normal BMI. The association was substantiated by a moderately significant correlation (r=0.51) between BMI and BF% in the overall population (p<0.0001). Conclusion: This pan-India registry presents a real-world reflection of the Asian Indian phenotype: high BF% despite lower BMI in people with T2D. This highlights the importance of primordial and primary prevention, and may guide decisions on the choice of agents for glycaemic control, with a preference for drugs that promote weight loss or are weight neutral.

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“…The prevalence of obesity/overweight taken as 20.9% according to study done by Saikia et al 15 For a confidence level of 95% with a 3 percent margin of error, sample size was calculated as 706 using the formula n= (Z/M) 2 x p x (1-p). Schools under JSS Mahavidyapeetha were selected by simple random sampling and sample size achieved by collecting data from students who were willing to participate in the study considering COVID-19 pandemic.…”

Section: Sample Size and Sampling Methodsmentioning

confidence: 99%

Body mass index and body fat percentage in determining overweight and obesity among school going adolescents of urban Mysuru, Karnataka: a cross-sectional study

Sathiarajan

Murthy

Gopi

et al. 2023

Int J Community Med Public Health

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Background: Overweight and obesity among adolescents is an important global health issue. BMI is the commonly used screening tool but there can be under or over estimation. Body fat percentage estimation using bioelectrical impedance analysis is easy and non-invasive technique and along with BMI can provide a better predictive capacity. Considering importance of early detection of overweight and obesity in adolescents, present study was done among school going adolescents of urban Mysore. Objectives were to determine the prevalence of overweight and obesity using BMI and body fat percentage among school going adolescents and to determine the relationship between BMI and body fat percentage. Methods: A cross sectional study was conducted among 706 school students in urban Mysuru aged 13-16 years and semi-structured proforma was used to collect data. Anthropometric measurements taken and Omron HBF 701 Karada scan complete digital body composition monitor used to measure body fat percentage. BMI-for-age (5-19 years) WHO 2007 and McCarthy’s body fat reference used to classify participants. Statistical tests like Pearson’s correlation used. Results: According to BMI, 9.8% and 5% were overweight and obesity prevalence respectively and according to body fat percentage19.4% were over fat and 17.1% were obese. Among adolescents with normal BMI, 18.4% and 11.9% were classified as overfat and obese respectively according to body fat percentage. The correlation between BMI and body fat percentage was statistically significant. Conclusions: Higher prevalence of obesity seen according to body fat percentage cut-offs than according to BMI.

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Body mass index and body fat percentage in assessing obesity: An analytical study among the adolescents of Dibrugarh, Assam

Cited by 12 publications

References 1 publication

Assessment of Nutritional Status and Body Composition in Tibetan Adolescent girls of Kangra district, Himachal Pradesh

Assessment of Nutritional Status and Body Composition in Tibetan Adolescent girls of Kangra district, Himachal Pradesh

Indian Phenotype Characteristics Among Patients with Type 2 Diabetes Mellitus: Insights from a Non-interventional Nationwide Registry in India

Body mass index and body fat percentage in determining overweight and obesity among school going adolescents of urban Mysuru, Karnataka: a cross-sectional study

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