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Outcomes · Body composition · continued

DXA precision and the least significant change for lean mass — the long version posts 91–112

This is a continuation of a long topic, addressed by post number rather than by page. Start at post 1.

BC
b.correiaTL224 May 2025#91

Bioelectric impedance analysis: less precise than DXA and strongly affected by hydration state. Not reliable for detecting month-to-month changes. Useful for trend over years if done consistently.

2 likes 14mo
BS
buffer_shiftTL1Member25 May 2025#92

Comparing a body composition result against a population reference is a different exercise from tracking your own change, and the second is what most people want.

0 likes 14mo
NA
n.achebeTL225 May 2025#93
mira.patel, post #55: Everything in post #51 holds. The case it does not cover is the one I have. Absolute lean mass and lean mass as a proportion move differently and answer different questions. Report both or say which. It is one reading of the data and not the only reasonable one. Go to post

This is the sort of exchange that makes the archive worth searching.

19 likes in reply to #55 14mo
JV
j.vandermolenTL3Regular25 May 2025#94
h.castellanos, post #34: DXA (dual-energy X-ray absorptiometry): the standard for body composition in research. Precision is roughly ±1 kg for lean mass. Two scans six months apart on the same machine with the same technician give you useful information. Two scans six weeks apart on different machines tell you about the machines. The strength of my opinion here… Go to post

Post #91 answers the question as asked. The question underneath it is different.

Where a scan disagrees with the mirror over a short period, the scan's precision limits are usually the explanation.

I would treat that as a working assumption and revisit it.

8 likes in reply to #34 14mo
EF
e.ferreiraTL3Regular25 May 2025 · edited#95

Post #91 put the caveat in the right place and I want to underline it.

Lean mass in these measurements includes water, so a change in hydration appears as a change in lean mass.

Noting that I have skin in this question and have tried to discount for it.

4 likes 14mo
K
KAnderssonTL3Regular25 May 2025#96

Preserving lean tissue during a substantial deficit depends on protein intake and a resistance stimulus, and the evidence for both is reasonably strong.

0 likes 14mo
SD
st.dialloTL225 May 2025#97
a.lindqvist, post #47: Lean mass loss during rapid weight reduction: depends on protein intake, resistance training volume, and total energy deficit. Adequate protein and maintaining training intensity both help preserve lean mass. Go to post

What I would tell a new member reading about DXA precision for the first time: the confident posts are not the reliable ones, and the reliable ones are longer.

26 likes in reply to #47 14mo
H
HHidalgoTL2Member26 May 2025#98

Distinguishing three things in the DXA precision discussion that keep getting used interchangeably: the observation, the proposed mechanism, and the recommendation that gets attached to both.

12 likes 14mo
MM
m.mwangiTL226 May 2025#99

Where I part company with post #95, and it is a narrow parting.

Percentage body fat is a ratio, so it changes when either component changes. A rising percentage during weight loss is arithmetic before it is physiology.

Flagging that the sources on this are thinner than the confidence in the thread suggests.

7 likes 14mo
GT
g.tanakaTL3Regular26 May 2025#100
n.boateng, post #70: Lean mass in these measurements includes water, so a change in hydration appears as a change in lean mass. Go to post

Post #99 is the version of this I will quote in future. One addition.

DXA precision looks different depending on whether you are reading the primary literature or the summaries of it, and the difference is not in our favour.

1 like in reply to #70 14mo
RR
r.restrepoTL226 May 2025#101

Coming back to post #99, because the follow-up matters more than the original answer.

Maintenance phase: tracking body composition during maintenance (weight stable) is different from tracking during active loss. Changes are smaller and precision becomes more important.

15 likes 14mo
ML
m.lindqvistTL226 May 2025#102

That is the distinction I keep failing to hold on to. Written down now.

5 likes 14mo
DY
d.yilmazTL227 May 2025#103
abstract_peak, post #71: That is consistent with mine, for whatever one more account is worth. Go to post

Resting metabolic rate: body composition affects metabolic rate. As fat mass decreases and lean mass is maintained, metabolic rate is usually maintained better than with simple weight loss alone.

Not a conclusion. A place to stand while looking for one.

0 likes in reply to #71 14mo
AW
a.westergaardTL3Regular27 May 2025#104
a.hartmann, post #49: The strongest argument against my own position on DXA precision, stated as well as I can state it, since nobody else has yet. Go to post

Visceral fat: DXA does not distinguish visceral (organ-associated) fat from subcutaneous fat. That distinction might matter but requires different imaging to measure.

I have written this out at length because the short version keeps being misread.

30 likes in reply to #49 14mo
CF
c.falkTL227 May 2025#105

I read post #103 twice before replying, because I had assumed the opposite.

Ultrasound: thickness of subcutaneous fat at specific sites. Less standardised than DXA and operator-dependent. Useful as a supplementary measure but not as a primary method.

Not a strong opinion, just a consistent one.

10 likes 14mo
JD
j.delacroixTL3Regular27 May 2025#106

Post #103 answers the question as asked. The question underneath it is different.

Second-hand on DXA precision, so weight it accordingly — someone whose method I trust told me this and I have not verified it myself.

3 likes 14mo
RM
ra.mensaTL227 May 2025#107
a.iyer, post #85: Circumference measurements at marked sites, taken consistently, track composition change better than most people expect for the cost. The literature is thinner on this than the confidence in the thread implies. Go to post

Precision versus accuracy: the precision you need depends on what question you are answering. "Am I losing fat?" requires less precision than "Is my lean mass preservation within the expected range?"

0 likes in reply to #85 14mo
CW
cohort_watchTL2Member28 May 2025 · edited#108

Lean mass loss during rapid weight reduction: depends on protein intake, resistance training volume, and total energy deficit. Adequate protein and maintaining training intensity both help preserve lean mass.

22 likes 14mo
AC
a.coelhoTL228 May 2025#109

Photographs under fixed lighting and posture are a genuine record and are the hardest of these to standardise.

If anyone can point at the primary source I would be grateful.

6 likes 14mo
DM
d.magalhesTL2Member28 May 2025#110

Where a facility reports a precision figure for its own machine, that number is more useful than any published average.

I would rather post the uncertainty than round it away.

1 like 14mo
BS
buffer_sheetTL3Regular28 May 2025 · edited#111
vial_desk, post #42: Maintenance phase: tracking body composition during maintenance (weight stable) is different from tracking during active loss. Changes are smaller and precision becomes more important. Go to post

DXA (dual-energy X-ray absorptiometry): the standard for body composition in research. Precision is roughly ±1 kg for lean mass. Two scans six months apart on the same machine with the same technician give you useful information. Two scans six weeks apart on different machines tell you about the machines.

0 likes in reply to #42 14mo
ER
e.roosTL228 May 2025#112
dexa_twice_yearly, post #67: This follows post #64 rather than contradicting it. Lean mass loss during rapid weight reduction: depends on protein intake, resistance training volume, and total energy deficit. Adequate protein and maintaining training intensity both help preserve lean mass. If the premise is wrong, everything after it is decoration. Go to post

Worth separating two things that post #108 runs together.

Air displacement plethysmography and hydrostatic weighing have their own precision limits and their own protocol sensitivities. None of these are exact.

Marking that as an opinion rather than a finding.

0 likes in reply to #67 14mo
Moved from Progress reports by s.leclerc. Category placement is not obvious from outside and getting it wrong is expected. This topic will get better answers here. The move is recorded in the public log citing R7.

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