TANVIR OSTEOPOROSIS CENTRE

Bone, Muscle and Metabolic Heal

DXA Body Composition Report

Client Sex Ethnicity Birth Date Height Weight Measured
MRS,
Female White 18-04-1990 168.0 cm 63.0 kg 22-07-2019
KALPANA

TISSUE MAPPING SEGMENTAL ANALYSIS

%Fat Total Mass Fat Mass Lean Mass BMC
Region (%) (kg) (g) (g) (g)
Arms Total 37.8 6.6 2,388 3,926 293
Right 37.0 3.3 1,155 1,967 143
Left 38.6 3.3 1,234 1,960 150
Difference -1.6 -0.1 -79 7 -6
Legs Total 37.3 23.6 8,478 14,269 890
Right 38.1 11.6 4,261 6,924 442
Left 36.5 12.0 4,218 7,345 448
Difference 1.6 -0.4 43 -421 -5
Trunk 35.3 28.8 9,924 18,208 696
Android 34.0 3.8 1,290 2,509 41
Gynoid 42.1 10.4 4,309 5,924 205
Total 35.5 63.4 21,621 39,325 2,467

USA (Lunar) Total Body: Total

Tissue (%Fat) Centile
50%

40%
90
30% 75
50
20% 25
22-07-2019 10
20 30 40 50 60 70 80 90 100
Age (years)

World Health Organization BMI Classification

BMI = 22.3 (kg/m²)
13 18.5 25 30 35
Underweight Normal Overweight Obese
37 52 71 85 99
Weight (kg) for height = 168.0 cm

FAT MASS / HEIGHT in m2 FAT MASS INDEX (FMI)

8
FMI Class Severe Fat Moderate Fat Mild Fat Obese Class Obese Class
Normal Excess Fat Obese Class I
Deficit Deficit Deficit II III

3-6
M <2 2 to < 2.3 2.3 to < 3 > 6 to 9 > 9 to 12 > 12 to 15 > 15
F < 3.5 3.5 to < 4 4 to < 5 5-9 > 9 to 13 > 13 to 17 > 17 to 21 > 21

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 BODY COMPOSITION HISTORY (Region: Total)
Change vs. Change vs. Change vs.
Total Mass Baseline Previous Fat Mass Baseline Previous Lean Mass Baseline Previous
Measured Date (kg) (kg) (kg) (g) (g) (g) (g) (g) (g)
22-07-2019 63.4 baseline - 21,621 baseline - 39,325 baseline -

Total Body: Total Total Body: Total Total Body: Total

Total Mass (kg) Fat (g) Lean (g)
70 22000 40000

60 21000 30000
Aug 19

Aug 19

Aug 19
Jul 19

Jul 19

Jul 19
Measured Date Measured Date Measured Date

ANDROID/ GYNOID(Waist / Hip)

While Total Body %Fat will tell you more about your Region Tissue %Fat
overall fitness than your weight alone, regional fat Android: 34.0%
distribution tells you where the fat is located. Gynoid: 42.1%
A/G Ratio: 0.81
Android (waist) fat is often associated with apple- Android A/G- 1.06
shaped body types Gynoid A/G- 0.8
Gynoid (hip) fat is often associated with pear-shaped
body types.

VISCERAL ADIPOSE TISSUE(VAT)

VAT (Visceral Adipose Tissue) content within the android region, is a specific type of fat that is associated with several
types of metabolic diseases such as obesity, metabolic syndrome, and type 2 diabetes. CoreScan results have been
validated for adults between ages 18-90, and with a BMI in the range of 18.5-40.

Adipose Tissue
1 Visceral
2 Subcutaneous

Estimated Visceral Adipose Tissue

Volume Mass
0 cm³ 0g

VAT (Area) Thresholds for Metabolic Syndrome

10
Normal Increased High
0 100 160
300

Yi xia etal: Assesment and management of musculoskeletal health VM.17.2014. Journal of clinical Densitometry;
Thomas L Kelly: Practical and Technical advantages of DEXA VFA with CT-2012.

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 LEAN MASS

Lean mass includes all parts of the body Total Mass: 63.4 kg
[organs, muscle, and fluids] but excludes body fat. Lean Mass: 39,325 g
Tissue %Lean: 62.0%
The higher the Tissue %Lean, the more muscular the
body.

RELATIVE SKELETAL MASS INDEX

ASMI represents the relative amount of muscle in the arms and legs.
RSMI: 6.45 kg/m²
RSMI (Relative Skeletal Muscle Index) based on Baumgartner equation.
RSMI = (lean mass of arms[kg] + lean mass of legs[kg]) / (height[m])²
Baumgartner RN, Koehler KM, Gallagher D, Romero L, Heymsfield SB, Ross RR, Garry PJ, Lindeman RD (1998) Epidemiology of sarcopenia among the elderly in
New Mexico. Am J Epidermiol 147(8):755-763.

Sarcopenia < 5.25 kg/m2 in females, < 7 kg/m2 for men.

European consensus on definition and diagnosis of sarcopenia 2012, Age aging.

BONE MASS

USA (Combined NHANES/Lunar) Total BMD Young-Adult Age-Matched

Body: Total (BMD) Region (g/cm²) T-score Z-score
Head 2.657 - -
BMD (g/cm²) YA T-score
Arms 0.881 - -
1.282 2
1.181 1 Arm Right 0.938 - -
1.081 0 Arm Left 0.833 - -
0.980 -1
Legs 1.126 - -
0.879 -2
0.778 -3 Leg Right 1.132 - -
0.677 -4
Leg Left 1.119 - -
0.576 -5
20 30 40 50 60 70 80 90 100 Trunk 0.991 - -

Age (years) Trunk Right 0.990 - -

Trunk Left 0.993 - -
Ribs 0.856 - -
Spine 1.094 - -
Pelvis 1.072 - -
Total 1.206 1.2 1.3
Total Right 1.225 - -
Total Left 1.186 - -

Statistically 68% of repeat scans fall within 1SD (± 0.8 % Fat, ±210 g Tissue Mass, ±520 g Fat Mass, ±610 g Lean Mass for Total Body Total); (± 0.010 g/cm²
for Total Body Total); USA (Combined NHANES (ages 20-30) / Lunar (ages 20-40)) Total Body Reference Population (v113); Matched for Age, Weight
(females 25-100 kg), Ethnic
Date created: 22-07-2019 05:44:07 15 [SP 2]; Filename: dcm1vp6ipg.dfb; Total Body; 76:0.15:153.04:31.4 0.00:-1.00 4.81x13.01 11.1:%Fat=35.5%; 0.00:0.00
0.00:0.00; Scan Mode: Standard; 0.4 µGy

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 RESTING METABOLIC RATE (RMR)

Resting Metabolic Rate (RMR) is synonymous with Resting Energy Expenditure (REE) and is an estimate of how many calories you
would burn if you were to do nothing but rest. It represents the minimum amount of energy needed to maintain body temperature,
heartbeat, and respiratory rate.

RMR: 1,236 cal/day

RMR (Resting Metabolic Rate) based on Mifflin-St Jeor equation.
RMR = 19.7 x FFM(fat free mass) + 413
Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO. A new predictive equation for resting energy expenditure in healthy individuals., Am J Clin Nutr.,
1990 Feb;51(2):241-7. PMID: 2305711

INTERPRETATION:
FAT MASS:
AT RISK VAT A/G WC FMI BMI
METABOLIC SYNDROME:
Hypertension 22.3
NORMAL-10 0.81 85CMS NORMAL-8
Diabetes Mellitus (KG/M)
Dyslipidemia
BARIATRIC SURGERY

1. Normal weight and metabolically healthy.

2. Normal weight & metabolically at lower risk.
3. Normal weight and metabolically at risk
4. Overweight and metabolically healthy
5. Over weight & metabolically at lower risk.
6. Overweight and metabolically at risk.
7. Obese and metabolically healthy.
8. Obese and metabolically at lower risk.
9. Obese and metabolically at risk.
10. Underweight.

MUSCLE MASS: Normal/Dynopaenia(Boderline)/Sarcopaenia (Fraility)

BONE DENSITY: Normal/Osteopaenia/Osteoporosis

Comments:

FOLLOW UP-

Sincerely,
Dr. Meeta MD
Gynecologist & Obstetrician
Menopause, Osteoporosis Specialist.

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