Evidence map›Paper›PMID 41797386›Full record

ArticleJournal of cachexia, sarcopenia and muscle2026

Effects of a Combined Dietary and Physical Activity Intervention on Bone Density, Lean Mass and Fat Mass in Adults: The GOTO Trial.

F A Bogaards, Inge Groenendijk, Thies Gehrmann, Marian Beekman, Nico Lakenberg, H Eka D Suchiman, Lisette C P G M de Groot, Marcel J T Reinders, P Eline Slagboom

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

F A BogaardsMolecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.ORCID https://orcid.org/0000-0003-2553-5346
Inge GroenendijkDivision of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands.
Thies GehrmannMolecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Marian BeekmanMolecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Nico LakenbergMolecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
H Eka D SuchimanMolecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Lisette C P G M de GrootDivision of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands.
Marcel J T ReindersLeiden Computational Biology Center, Leiden, the Netherlands.
P Eline SlagboomMolecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.

Funding

BBMRI-NL 184.021.007BBMRI-NL 184.033.111Netherlands Consortium for Healthy Ageing 050-060-810ZonMw Project VOILA 457001001
6 · The paper itself

Abstract

backgroundNutritional weight-loss interventions are known to reduce bone mineral density (BMD), which can be prevented by adding (resistance) exercise training. However, this combined effect is not well studied in non-obese adults. In addition, the association between biomarkers and metabolite-based composite health markers with changes in BMD in such an intervention has not been studied as thoroughly.

objectiveThe aims of the current study were to investigate the effect of a combined nutritional and activity lifestyle intervention on lumbar spine and total body BMD in healthy middle-aged to older adults, and to relate these effects to a selection of immune-metabolic biomarkers, muscle mass and fat mass measurements, and two composite metabolite-based health scores.

methodsIn this ancillary study of the single-arm Growing Old TOgether (GOTO) trial (trial registration number GOTNL3301 [https://onderzoekmetmensen.nl/nl/trial/27183], NL-OMON27183), 134 participants (mean age 62.9 years, 49% female) undertook a 13-week lifestyle modification, incorporating 12.5% caloric restriction and 12.5% increase in physical activity. The impact on lumbar spine and total body BMD was evaluated using dual-energy X-ray absorptiometry (DEXA). The intervention effect on BMD was related to changes in immune-metabolic biomarkers and two metabolite-based immune-metabolic health scores.

resultsThe trial significantly reduced bodyweight with 3.3 and 3.4 kg, consisting of 1.4 and 1.1 kg lean mass, in males (fdr < 0.001) and females (fdr < 0.001), respectively. Lean mass reduced by 1.4 kg in males (fdr < 0.001) and 1.1 kg in females (fdr < 0.001), whereas total body fat% reduced significantly with -1.5% (fdr < 0.001) in males and -1.5% (fdr < 0.001) in females. In males, lumbar spine BMD increased with 3.0% (fdr < 0.001) and total body BMD with 0.7% (fdr = 0.002). In females, the lumbar spine BMD had a trend in the upwards direction (1.2%, fdr = 0.09) and the total body BMD remained stable (0.4%, fdr = 0.07). In males, the increase in lumbar spine BMD was significantly associated with decreased weight (fdr = 0.001) and with decreased body and trunk fat% (fdr = 0.001, fdr = 0.001) and improved immune-metabolic health (fdr = 0.02). Males with higher BMD but a poor metabolite-based health score at baseline had a stronger increase in lumbar spine BMD (fdr = 0.03).

conclusionsA combined nutritional and activity lifestyle intervention significantly improved BMD of males with good bone health at baseline while at the same time improving metabolic health. Nutritional weight-loss interventions may not harm BMD when combined with exercise.

Indexed as

Adipose TissueBody CompositionBone DensityDietExerciseAbsorptiometry, PhotonAgedBiomarkersFemaleHumansMaleMiddle AgedBiomarkersbone mineral densitycaloric restrictioncomposite health scoresfat masslean masslifestyle interventionphysical activity

Identifiers

PMID41797386
PMCPMC12968446

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.