scholarly journals Anthropometry Description In Households That Experiences Obesity

2020 ◽  
Vol 4 (1) ◽  
pp. 40-49
Author(s):  
Muriyati ◽  
Ilhamsyah ◽  
Suhartini Nur

Obesity is defined as abnormal or excessive fat accumulation that can interfere with health. In 2015, more than 1.9 billion adults were overweight and 400 million of them were obese. Various types of anthropometry can be used to determine the occurrence of obesity, these methods include measurement of body mass index (BMI). Arm circumference, and abdominal circumference. Body mass index is an indicator of obesity that is widely used to estimate the composition of body fat. Based on an initial survey conducted in April-May the number of obesity increased until June-July 2018. From the results of a preliminary study conducted by researchers, more productive-age housewives were obese I than obesity II. An anthropometric picture of obese housewives in Taccorong Village, Bulukumba District was known. The method used in this research is descriptive with a simple approach. Sampling was carried out with a purposive sampling technique. The population in this study was 1,011 people. The sample in this study was 62 respondents. The results of this study indicate that housewives of productive age who have a picture (obesity I) BMI 25-29.9 amounted to 59.7%, and (obesity II) BMI ≥ 30 by 40.3%, normal upper arm circumference of 24, 2%, abnormal upper arm circumference 75.8%, and abdominal circumference 62%. The conclusion of this study is that housewives who are obese in Taccorong Village, Bulukumba Regency are based on productive age (15-49) years old, with young adults (18-35) years totaling 37 (59.7%) respondents and old adulthood (36-49 ) year totaling 25 (40.3%) respondents. It is recommended for housewives to improve a healthy lifestyle to avoid obesity which can lead to degenerative diseases. 

Arkus ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 203-209
Author(s):  
Mardiati ◽  
Noviana Zara ◽  
Anna Millizia

Hemoglobin is a protein found in red blood cells. Hemoglobin levels that are less than normal or anemia can cause complications in the form of fatigue and stress on the body's organs. Nutritional status is one of the factors that can affect hemoglobin levels. Measurement of nutritional status can be done through several methods including anthropometry and clinical laboratories. Among these methods, the most frequently used in the field is anthropometry using body mass index (BMI) and upper arm circumference (LLA). This study aims to determine the hemoglobin level and nutritional status of the assisted families located in Uteunkot Cunda Village, Lhokseumawe. This study is a descriptive study with a cross-sectional approach to determine the description of hemoglobin levels and nutritional status based on indicators of Body Mass Index and Upper Arm Circumference in the fostered family. The sampling technique used is total sampling with a total of 79 respondents. The results obtained were the average hemoglobin level of the respondents was 12.34 g/dL in the normal category. Nutritional status based on Body Mass Index, most respondents were in normal nutritional status as many as 27 respondents (34.2%). The most nutritional status based on upper arm circumference was malnutrition, namely 55 respondents (69.6%).


2010 ◽  
Vol 65A (10) ◽  
pp. 1107-1114 ◽  
Author(s):  
H. A. H. Wijnhoven ◽  
M. A. E. van Bokhorst-de van der Schueren ◽  
M. W. Heymans ◽  
H. C. W. de Vet ◽  
H. M. Kruizenga ◽  
...  

Author(s):  
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Background: Little research has been conducted on the estimate formulas for waist circumference using body mass index and limb circumferences in hospitalized older adults. Thus, we conducted the present study to develop estimate formulas of waist circumference using body mass index and limb circumferences in hospitalized older adults. Methods: Forty hospitalized older patients were recruited in this cross-sectional study. We measured waist circumference, body mass index, upper arm circumference, forearm circumference, thigh circumference, and calf circumference. The estimate formulas for waist circumference were developed using simple and multiple regression analysis. Results: Simple regression analysis indicated that body mass index, upper arm circumference, forearm circumference, thigh circumference, and calf circumference were independent explanators for waist circumference (p < 0.05 for all). In addition, body mass index, upper arm circumference, and forearm circumference but not thigh circumference and calf circumference were extracted as independent explanators for waist circumference in multiple regression analysis (p < 0.05). We were able to develop the estimate formulas using body mass index, upper arm circumference, forearm circumference, thigh circumference, and calf circumference. Conclusion: The results suggest that the estimate formulas for waist circumference may provide an opportunity to easily evaluate waist circumference, even in hospitalized older adults with kyphosis posture. However, future studies should be conducted to develop the estimate formulas for waist circumference with a lower error value.


2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Okky Kumesan ◽  
Shane H.R. Ticoalu ◽  
Taufiq F. Pasiak

Abstract: Obesity is defined as abnormal or excessive fat accumulation which detrimental to health. In 2014, more than 1.9 billion adults are overweight and over 600 million of them are obese. Various methods of anthropometry can be used to determine the occurrence of obesity, these methods include measurement of body mass index (BMI), waist circumference, hip circumference, arm circumference and neck circumference, body mass index mostly used as an indicator of obesity to estimate the body fat composition. Based on research conducted by Lu et al in China, upper arm circumference has been one of the indicators to identify overweight and obesity in children aged 7-12 years. Objective: To determine the relation between upper arms circumference with obesity of students in Faculty of Medicine, Universitas Sam Ratulangi. Method: This research is descriptive analytic observational study conducted in February 2016. The samples were students of the Faculty of Medicine, University of Sam Ratulangi, class 2013, 2014, 2015, who were eligible. The data was obtained by the measurement of upper arm circumference, weight, and height that used in the method of body mass index. Result: The samples in this research were 63 people consisting of 35 men and 28 women with an average age is 19 years old. On BMI measurements obtained an average male’s BMI is 29.8 kg/m2 and women’s BMI is 28.6 kg/m2. On the measurements of upper arm, the average male’s upper arm is 33,6cm and women’s upper arm is 30,7cm. Spearman correlation values between the Upper Arm Circumference and BMI for the all sample is 0,711. Conclusion: There is strong correlations between the Upper Arm Circumference (MUAC) with obesity that were measured with Body Mass Index (BMI).Keywords: obesity, body mass index, upper arm circumference, student Abstrak: Obesitas didefinisikan sebagai akumulasi lemak abnormal atau berlebihan yang dapat menggangu kesehatan. Pada tahun 2014, lebih dari 1,9 miliar orang dewasa mengalami kelebihan berat badan dan lebih dari 600 juta orang diantaranya mengalami obesitas. Berbagai macam metode antropometri dapat digunakan untuk mengetahui terjadinya obesitas, metode-metode tersebut antara lain pengukuran indeks masa tubuh (IMT), lingkar pinggang, lingkar pinggul, lingkar lengan, serta lingkar leher, indeks masa tubuh merupakan indikator kegemukan yang banyak dilakukan untuk memperkirakan komposisi lemak tubuh. Berdasarkan penelitian yang dilakukan oleh Lu dkk di Cina, lingkar lengan atas telah merupakan salah satu indikator untuk mengidentifikasi berat badan lebih dan obesitas pada anak-anak usia 7-12 tahun. Penelitian ini bertujuan untuk mengetahui hubungan antara lingkar lengan atas dengan terjadinya obesitas pada mahasiswa Fakultas Kedokteran Universitas Sam Ratulangi. Penelitian ini merupakan jenis penelitian deskriptif observasional analitik yang dilaksanakan pada bulan Februari 2016. Sampel penelitian adalah mahasiswa Fakultas Kedokteran Universitas Sam Ratulangi, angkatan 2013, 2014, 2015 yang memenuhi kriteria. Data penelitian didapatkan melalui pengukuran lingkar lengan atas, berat badan, serta tinggi badan yang digunakan dalam metode indeks masa tubuh. Pada penelitian ini didapatkan sampel sebanyak 63 orang yang terdiri dari 35 orang laki-laki dan 28 orang perempuan dengan rata-rata umur sampel 19 tahun. Pada pengukuran IMT didapatkan rata-rata IMT laki-laki 29,8 kg/m2 dan IMT Perempuan 28,6 kg/m2. Pada pengukuran LiLA didapatkan rata-rata LiLA laki-laki 33,6 cm dan LiLA perempuan 30,7 cm. Nilai korelasi Spearman antara Lingkar Lengan Atas dan IMT untuk seluruh sampel sebesar 0,711. Simpulan: Didapatkan hubungan yang kuat antara Lingkar Lengan Atas (LiLA) dengan obesitas yang diukur meggunakan Indeks Massa Tubuh (IMT)Kata kunci: obesitas, indeks masa tubuh, lingkar lengan atas, mahasiwa


PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0121456 ◽  
Author(s):  
Tania Sultana ◽  
Md. Nazmul Karim ◽  
Tahmeed Ahmed ◽  
Md. Iqbal Hossain

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