The Fort Worth Press - Study highlights limitations of BMI in predicting death

USD -
AED 3.672504
AFN 64.000368
ALL 80.660025
AMD 364.155001
ANG 1.790365
AOA 918.000367
ARS 1524.750402
AUD 1.417435
AWG 1.8
AZN 1.70397
BAM 1.716593
BBD 2.014833
BDT 123.096502
BGN 1.683441
BHD 0.377145
BIF 3013.033747
BMD 1
BND 1.278097
BOB 12.259622
BRL 5.188104
BSD 1.000307
BTN 95.794093
BWP 13.621802
BYN 3.022425
BYR 19600
BZD 2.011937
CAD 1.41345
CDF 2340.000362
CHF 0.828271
CLF 0.024357
CLP 961.770396
CNY 6.71325
CNH 6.734304
COP 3348.488173
CRC 454.820731
CUC 1
CUP 24.008426
CVE 96.778865
CZK 21.384404
DJF 178.136657
DKK 6.562804
DOP 59.49006
DZD 134.160706
EGP 51.788213
ERN 15
ETB 162.282003
EUR 0.87791
FJD 2.24725
FKP 0.754924
GBP 0.754689
GEL 2.61504
GGP 0.754924
GHS 11.618906
GIP 0.754924
GMD 73.503851
GNF 8797.998859
GTQ 7.639444
GYD 209.30355
HKD 7.842504
HNL 26.849519
HRK 6.613804
HTG 130.916751
HUF 320.61504
IDR 17914.1
ILS 3.04806
IMP 0.754924
INR 95.817504
IQD 1310.484048
IRR 1374575.000352
ISK 120.260386
JEP 0.754924
JMD 158.265678
JOD 0.70904
JPY 157.24504
KES 129.644095
KGS 87.448204
KHR 4068.10901
KMF 433.00035
KPW 900.000318
KRW 1354.240383
KWD 0.30864
KYD 0.833633
KZT 443.156186
LAK 22438.232325
LBP 89581.428007
LKR 330.293588
LRD 172.063018
LSL 16.32106
LTL 2.95274
LVL 0.60489
LYD 6.395752
MAD 9.599596
MDL 17.756616
MGA 4416.553298
MKD 54.043972
MMK 2099.36214
MNT 3596.164164
MOP 8.082152
MRU 40.243999
MUR 47.530378
MVR 15.450378
MWK 1734.585509
MXN 17.760378
MYR 4.074104
MZN 63.910377
NAD 16.32106
NGN 1326.380377
NIO 36.810462
NOK 9.50785
NPR 153.270725
NZD 1.749629
OMR 0.385571
PAB 1.000307
PEN 3.395971
PGK 4.456927
PHP 62.347038
PKR 277.197262
PLN 3.83775
PYG 5896.344407
QAR 3.646377
RON 4.629204
RSD 103.085092
RUB 84.346338
RWF 1478.474569
SAR 3.755913
SBD 8.000512
SCR 13.863038
SDG 601.503676
SEK 9.91775
SGD 1.278404
SHP 0.755002
SLE 24.650371
SLL 20969.491881
SOS 571.729495
SRD 37.667504
STD 20697.981008
STN 21.503489
SVC 8.753236
SYP 13002.000254
SZL 16.317198
THB 33.375038
TJS 9.228244
TMT 3.51
TND 2.961425
TOP 2.40776
TRY 48.942504
TTD 6.803879
TWD 31.728704
TZS 2654.934831
UAH 44.794751
UGX 3918.023434
UYU 40.075482
UZS 11839.206565
VES 852.43145
VND 25976
VUV 118.388248
WST 2.745723
XAF 575.871484
XAG 0.015553
XAU 0.000233347179
XCD 2.70255
XCG 1.80287
XDR 0.707052
XOF 575.871484
XPF 104.673717
YER 236.650363
ZAR 16.190363
ZMK 9001.203584
ZMW 19.513758
ZWL 321.999592
SSP 5712.591904
MXV 2.012596
  • RIO

    -0.3300

    97.04

    -0.34%

  • CMSC

    -0.0400

    20.67

    -0.19%

  • RELX

    0.0000

    33.41

    0%

  • RBGPF

    0.0000

    67.95

    0%

  • BCE

    -0.0700

    21.99

    -0.32%

  • BCC

    -0.0300

    75.66

    -0.04%

  • GSK

    0.8600

    51.08

    +1.68%

  • JRI

    -0.0300

    11.52

    -0.26%

  • NGG

    -0.1200

    76.68

    -0.16%

  • CMSD

    0.0900

    20.54

    +0.44%

  • BTI

    -0.0800

    55.75

    -0.14%

  • AZN

    2.0200

    168.1

    +1.2%

  • BP

    -1.4200

    43.16

    -3.29%

  • RYCEF

    0.4600

    19.7

    +2.34%

  • VOD

    0.0700

    17.02

    +0.41%

Study highlights limitations of BMI in predicting death
Study highlights limitations of BMI in predicting death / Photo: © AFP/File

Study highlights limitations of BMI in predicting death

People classified as overweight though not obese are not at a higher risk of death, according to a new study Wednesday that underscores the clinical limitations of body mass index (BMI), long a standard medical metric.

Text size:

The findings, published in the journal PLOS ONE, come as populations in both rich and poor countries are becoming heavier. In the United States, more than 70 percent of adults are defined as either overweight or obese.

BMI, which was first described by a Belgian mathematician in the 19th century, is calculated by dividing a person's weight by the square of their height. It is increasingly seen as a crude instrument for measuring individual health.

Authors Aayush Visaria and Soko Setoguchi of Rutgers University argued their work showed measures of body composition and body fat distribution, such as waist circumference, are more informative from a health risk perspective.

Older studies on the link between weight and death rates drew inconsistent and uncertain results, and were mostly focused only on non-Hispanic white adults.

In the new work, the researchers drew on data on more than 550,000 American adults from the 1999-2018 National Health Interview Survey and the 2019 US National Death Index.

They calculated BMI based on the self-reported height and weight of the participants, and gathered data on demographics, socio-behavioral factors such as smoking and physical activity, underlying health conditions, and access to healthcare.

More than 75,000 people who were included in the study died during the period of research.

After adjusting for other variables, the results showed that people with a BMI between 25 and 30, which is classified as overweight, did not have an increased risk of death compared to people whose BMI was between 22.5 and 24.9.

However, the mortality risk rose markedly among people whose BMI was under 20, and those with BMI greater or equal to 30, defined as obese.

- Obesity carries higher death risk -

For example, a person with "third degree" obesity, defined as a BMI of 40 or above, but had never smoked and had no history of cardiovascular disease or non-skin cancer, was more than twice as likely to die as an equivalent counterpart with BMI defined as average.

The average age of participants was 46. Half were female, and 69 percent were non-Hispanic white. Of those included, 35 percent had a BMI between 25 and 30, and 27.2 percent had a BMI above or equal to 30.

"It's a large study with a representative sample which is good," George Savva, a biostatistician at the Quadram Institute in the United Kingdom, told AFP. "The authors have, as far as I can see, done a good job of analyzing the mortality link with baseline weight status."

He added it might be the case that diseases linked with higher weight are managed better than they once were, for example high blood pressure and high cholesterol.

"So you would expect the relationship between weight and death to change over time, which potentially is what this is showing," Savva said.

J.M.Ellis--TFWP