Medication changes: escalating dose, or adding or removing other medications, can affect the rate of weight loss. Documenting medication changes alongside weight makes the record interpretable.
4 likes 3mo
Outcomes · Progress reports · continued
Comparing my trajectory with the trial curves, carefully — a second dataset posts 31–60
This is a continuation of a long topic, addressed by post number rather than by page. Start at post 1.
o.pasquale, post #1: Comparing my trajectory with the trial curves, carefully — a second dataset — setting out what I have, and where I think it stops being reliable. Maintenance rather than loss, which is the part of this that almost nobody writes about. I have been at roughly the same weight for 15 months. The interesting questions are all different from… Go to post
This follows post #30 rather than contradicting it.
Plateaus and resets: if weight loss stalls and then resumes, that is ordinary. It is not evidence that the medication stopped working. It is not evidence that it is still working either. It is a data point in a longer record.
I read post #32 twice before replying, because I had assumed the opposite.
Exercise volume changes: increasing exercise intensity or duration can mask weight loss (muscle gain) on the scale. Noting exercise changes when reporting weight helps interpret results.
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Rate of change: reporting progress as "lost 5 kg in 12 weeks" is more useful than "currently at 82 kg" because the rate tells you whether the change is steady, accelerating, or stalling.
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t.ibarra, post #32: Protein intake and resistance training: both self-reported and therefore optimistic in most reports. Recording them anyway creates a record you can look back on. Go to post
Non-scale victories: muscle gain or maintenance, clothing fit, energy level, and capability (like climbing stairs without breathlessness) are measurements that scale-based weight misses.
b.wikstrom, post #5: I read post #3 twice before replying, because I had assumed the opposite. Non-scale victories: muscle gain or maintenance, clothing fit, energy level, and capability (like climbing stairs without breathlessness) are measurements that scale-based weight misses. Go to post
Picking up post #34: that is the part I would want checked first.
Thank you for the correction. I have edited my earlier post with a note rather than silently, so the thread still makes sense to read. The error was mine and it was the kind that comes from remembering a figure instead of looking it up.
For anyone arriving from a search: the marked solution above is the direct answer, and the replies underneath it add the caveats that make it safe to use.
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f.fenwick, post #23: On post #19 — agreed on the reasoning, with one qualification. Protein intake and resistance training: both self-reported and therefore optimistic in most reports. Recording them anyway creates a record you can look back on. Go to post
Worth separating two things that post #36 runs together.
Longitudinal report with the method stated: same scale, same time of day, same conditions. A scale is a tool; use the same one each time. Consistency matters more than accuracy at capturing absolute weight.
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Worth separating two things that post #37 runs together.
Practical note that does not fit anywhere else. Whatever you conclude from this topic, write down what you did and when. The single most useful thing in your own records is not any individual result; it is that they are dated and consecutive.
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post #41 is right about the mechanism and I think understates the practical bit.
Plateaus and resets: if weight loss stalls and then resumes, that is ordinary. It is not evidence that the medication stopped working. It is not evidence that it is still working either. It is a data point in a longer record.
0 likes 3mo
Collapsed as off-topic by two members at trust level 3 or above
Non-scale victories: muscle gain or maintenance, clothing fit, energy level, and capability (like climbing stairs without breathlessness) are measurements that scale-based weight misses.
p.marchetti, post #13: Seasonal patterns: some people report weight loss is slower in winter than summer. Body composition and activity changes might contribute. Noting the season is useful context. Go to post
I disagree with the reply above, and I think the disagreement is substantive rather than terminological.
The distinction being drawn does not survive when you look at the published data for this specific question. I would be glad to be shown wrong on this, because the version I am arguing against is more convenient.
Medication changes: escalating dose, or adding or removing other medications, can affect the rate of weight loss. Documenting medication changes alongside weight makes the record interpretable.
0 likes 2mo
Menstrual cycle: for people who menstruate, weight can shift by several pounds across the cycle due to fluid retention and other factors. Noting cycle phase when weighing reduces apparent noise.
8 likes 2mo
Exercise volume changes: increasing exercise intensity or duration can mask weight loss (muscle gain) on the scale. Noting exercise changes when reporting weight helps interpret results.
2 likes 2mo
This follows post #48 rather than contradicting it.
Plateaus and resets: if weight loss stalls and then resumes, that is ordinary. It is not evidence that the medication stopped working. It is not evidence that it is still working either. It is a data point in a longer record.
0 likes 2mo
I read post #50 twice before replying, because I had assumed the opposite.
Practical note that does not fit anywhere else. Whatever you conclude from this topic, write down what you did and when. The single most useful thing in your own records is not any individual result; it is that they are dated and consecutive.
3 likes 2mo
b.wikstrom, post #5: I read post #3 twice before replying, because I had assumed the opposite. Non-scale victories: muscle gain or maintenance, clothing fit, energy level, and capability (like climbing stairs without breathlessness) are measurements that scale-based weight misses. Go to post
Seasonal patterns: some people report weight loss is slower in winter than summer. Body composition and activity changes might contribute. Noting the season is useful context.
Medication changes: escalating dose, or adding or removing other medications, can affect the rate of weight loss. Documenting medication changes alongside weight makes the record interpretable.
23 likes 2mo
I disagree with the reply above, and I think the disagreement is substantive rather than terminological.
The distinction being drawn does not survive when you look at the published data for this specific question. I would be glad to be shown wrong on this, because the version I am arguing against is more convenient.
1 like 2mo
m.ndiaye, post #36: Non-scale victories: muscle gain or maintenance, clothing fit, energy level, and capability (like climbing stairs without breathlessness) are measurements that scale-based weight misses. Go to post
Coming back to post #54, because the follow-up matters more than the original answer.
Longitudinal report with the method stated: same scale, same time of day, same conditions. A scale is a tool; use the same one each time. Consistency matters more than accuracy at capturing absolute weight.
Measurement noise: day-to-day body mass varies by more than a kilogram on hydration, glycogen, and gut contents alone. A weekly reading is a single noisy sample of a distribution. A seven-day rolling mean of daily readings has much lower noise.
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Menstrual cycle: for people who menstruate, weight can shift by several pounds across the cycle due to fluid retention and other factors. Noting cycle phase when weighing reduces apparent noise.
3 likes 1mo
Rate of change: reporting progress as "lost 5 kg in 12 weeks" is more useful than "currently at 82 kg" because the rate tells you whether the change is steady, accelerating, or stalling.
10 likes 1mo