Obesity, Sarcopenia, and Smoking: Landscape in the Mist
Open accessAbstract
Smoking and obesity are both major public health problems.However, there is no consensus regarding their relationship.
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Body weight is negatively associated with long-term cigarette smoking.
“It has been shown that body weight is negatively associated with long-term CS [34,35,36].”
From An Overlooked Bone Metabolic Disorder: Cigarette Smoking-Induced Osteoporosis (2022) · cites this paper as [34]
There is an inverse relationship between smoking and body weight.
“In fact, several studies in the literature have shown that there is an inverse relationship between smoking and body weight [22,23,24].”
From Skeletal System Biology and Smoke Damage: From Basic Science to Medical Clinic (2021) · cites this paper as [22]
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References 9 · Cited by 4
- Authors
- Oh, S.-W.
- Affiliations
- Seoul National University Hospital (KR)
- Corresponding author
- Oh, Seung-Won
- ORCID
- Oh, Seung-Won
- Venue
- Korean Journal of Family Medicine
- Published
- 2019-03-20
- Volume
- 40
- Issue
- 2
- Pages
- 61-62
- ISSN
- 2005-6443 (ISSN-L)
- 2092-6715
- PMC
- PMC6444082
- OpenAlex
- W2924949385
- Cited by
- 4
- References
- 9
- Citations by year
- 2025: 1 · 2022: 2 · 2021: 1
- FWCI
- 0.51
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Korean Journal of Family Medicine (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- obesity, sarcopenia, smoking
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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