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Cited by 5Diabetes, Cardiovascular Risks, and LipoproteinsObesity, Physical Activity, DietCardiovascular Disease and Adiposity

Repercussions of absolute and time-rated BMI “yo-yo” fluctuations on cardiovascular stress-related morbidities within the vascular-metabolic CUN cohort

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Sánchez-Iñigo, Laura, Navarro-González, D., Martinez-Urbistondo, D., Pastrana, J. C., Fernandez-Montero, A., Martinez, J. A.·2023·Frontiers in Endocrinology
DOI 10.3389/fendo.2022.1087554PMC PMC9868691
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Abstract

Aims: The association between body mass index (BMI) fluctuation and BMI fluctuation rate with cardiovascular stress morbidities in a Caucasian European cohort was evaluated to ascertain the impact of weight cycling. Methods: A total of 4,312 patients of the Vascular-Metabolic CUN cohort (VMCUN cohort) were examined and followed up during 9.35 years ( ± 4.39). Cox proportional hazard ratio analyses were performed to assess the risk of developing cardiovascular stress-related diseases (CVDs) across quartiles of BMI fluctuation, measured as the average successive variability (ASV) (ASV = |BMIt0 − BMIt1| + |BMIt1 − BMIt2| + |BMIt2-BMIt3| +…+ |BMItn – 1 − BMItn|/ n − 1), and quartiles of BMI fluctuation rate (ASV/year). Results: There were 436 incident cases of CVD-associated events involving 40,323.32 person-years of follow-up. A progressively increased risk of CVD in subjects with greater ASV levels was found. Also, a higher level of ASV/year was significantly associated with an increased risk of developing CVD stress independent of confounding factors with a value of 3.71 (95% CI: 2.71-5.07) for those in the highest quartile and 1.82 (95% CI: 1.33-2.50) for those in the third quartile. Conclusions: The BMI fluctuation rate seems to be a better predictor than BMI fluctuation of the potential development of cardiovascular stress morbidities. The time-rated weight fluctuations are apparently more determinant in increasing the risk of a CVD than the weight fluctuation itself, which is remarkable in subjects under “yo-yo” weight patterns for precision medicine.

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  • Given existing evidence that even non-MetS obese individuals face elevated cardiovascular risk, these false positives may represent a clinically meaningful subgroup who could benefit from earlier lifestyle or medical interventions.

    “Given existing evidence that even non-MetS obese individuals face elevated cardiovascular risk [43–45], these so-called “false positives” may represent a clinically meaningful subgroup who could benefit from earlier lifestyle or medical interventions.”

    From Machine learning with the body roundness index and associated indicators: a new approach to predicting metabolic syndrome (2025) · cites this paper as [44]

    The Introduction (page unavailable) calls obesity a well-established cardiovascular risk factor. Neither that passage nor the Discussion passages distinguish obese people without metabolic syndrome, so the source does not establish the claim for the non-MetS subgroup. The suggestion about intervening for “false positives” is the citing authors’ own inference, not the point attributed to this source. (LLM, conf=0.86)

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Authors
Sánchez-Iñigo, L., Navarro-González, D., Martinez-Urbistondo, D., Pastrana, J. C., Fernandez-Montero, A., & Martinez, J. A.
Venue
Frontiers in Endocrinology
Publisher
Frontiers Media SA
Published
2023-01-09
Volume
13
Pages
1087554-1087554
ISSN
1664-2392 (ISSN-L)
DOI
10.3389/fendo.2022.1087554
PMC
PMC9868691
OpenAlex
W4313889126
Cited by
5
References
60
Citations by year
2026: 1 · 2025: 2 · 2024: 1 · 2023: 1
FWCI
1.03
Type
journal article
Language
en
Open access
Licence
Locations
  • Frontiers in Endocrinology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Gobierno de Navarra
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
Keywords
weight cycling, yo-yo dieting, cardiovascular risk, cardiovascular risk prediction
MeSH terms
Cardiovascular Diseases, Humans, Morbidity, Body Mass Index

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