Changes in body mass index and mid-upper arm circumference in relation to all-cause mortality in older adults

2018 ◽  
Vol 37 (6) ◽  
pp. 2252-2259 ◽  
Author(s):  
Laura A. Schaap ◽  
Tara Quirke ◽  
Hanneke A.H. Wijnhoven ◽  
Marjolein Visser
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.


2012 ◽  
Vol 7 (2) ◽  
pp. 83
Author(s):  
Diny Eva Ariyani ◽  
Endang Laksmining Achadi ◽  
Anies Irawati

Lingkar lengan atas (LiLA) telah digunakan sebagai indikator proksi terhadap risiko kekurangan energi kronis (KEK) untuk ibu hamil di Indonesia karena tidak terdapat data berat badan prahamil pada sebagian besar ibu hamil. Selama ini, ambang batas LiLA yang digunakan adalah 23,5 cm. Penelitian ini bertujuan untuk menguji validitas LiLA terhadap indeks massa tubuh (IMT) yang merupakan indikator yang lebih baik untuk mengetahui status gizi wanita dewasa. Penelitian ini menggunakan data Riset Kesehatan Dasar tahun 2007 pada perempuan dewasa usia 20 – 45 tahun di seluruh Indonesia. Hasil penelitian ini ialah ambang batas LiLA yang paling optimal untuk mendeteksi risiko KEK di Indonesia berada pada titik 24,95 cm (Se = 85%; Sp = 75%). Terdapat perbedaan ambang batas antarprovinsi tetapi tidak lebih dari 2 cm, terendah di Provinsi Nusa Tenggara Timur (23,95 cm) dan tertinggi di Provinsi Sulawesi Utara dan Gorontalo (25,95 cm). LiLA mempunyai korelasi yang kuat (r = 0,67; nilai p < 0,000) dengan IMT. Direkomendasikan untuk menggunakan ambang batas LiLA 24,95 cm untuk mendeteksi risiko KEK wanita usia 20 – 45 tahun, sementara23,5 cm untuk outcome kehamilan, yaitu morbiditas dan mortalitas bayi.Kata kunci: Lingkar lengan atas, indeks massa tubuh, kekurangan energi kronisAbstractMid-upper arm circumference has been used in Indonesia as an proxy indicator of chronic energy malnutrition risk for pregnant women because there isn’t any data of prepregnancy weight in most of pregnant women. The boundary used was 23,5 cm. The objective of the study is to validate the currentboundary related to body mass index (BMI) indicator, which is believed as a better indicator in identifying women nutritional status. The study is using Riset Kesehatan Dasar 2007 data on Indonesian adult women aged 20 – 45 years old. The study found the boundary is 24,95 cm for detecting chronic energy malnutrition risk among adult women (Se = 85%; Sp = 75%). There are differences among provinces but not more than 2 cm, the lowest is in Nusa Tenggara Timur (23,95 cm) and the highest is in North Sulawesi and Gorontalo (25,95 cm). Mid upper arm circumference has a strong relationto BMI (r = 0,67; p value < 0,000). It is recommended to use mid-upper arm circumference boundary 24,95 cm to detect chronic energy malnutrition on 20 – 45 years old women and 23,5 cm to pregnancy outcome, baby morbidity, and mortality.Key words: Mid-upper arm circumference, body mass index, chronic energy deficiency


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