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Relationship between Levels of Pre-Stroke Physical Activity and Post-Stroke Serum Insulin-Like Growth Factor I

Artikel i vetenskaplig tidskrift
Författare N David Åberg
Gustaf Gadd
Daniel Åberg
P. Hallgren
Christian Blomstrand
Katarina Jood
M. Nilsson
F. R. Walker
Johan Svensson
Christina Jern
Jörgen Isgaard
Publicerad i Biomedicines
Volym 8
Nummer/häfte 3
ISSN 2227-9059
Publiceringsår 2020
Publicerad vid Institutionen för biomedicin, avdelningen för laboratoriemedicin
Institutionen för neurovetenskap och fysiologi, sektionen för klinisk neurovetenskap
Institutionen för medicin, avdelningen för invärtesmedicin och klinisk nutrition
Språk en
Länkar dx.doi.org/10.3390/biomedicines8030...
Ämnesord stroke, cerebrovascular disease, insulin-like growth factor I, ischemic, stroke, stroke severity, physical activity, ischemic-stroke, igf-i, health, population, hormone, sample, age, Research & Experimental Medicine, Pharmacology & Pharmacy
Ämneskategorier Farmakologi, Invärtesmedicin

Sammanfattning

Physical activity (PA) and insulin-like growth factor I (IGF-I) have beneficial effects for patients who have suffered an ischemic stroke (stroke). However, the relationship between the levels of PA and IGF-I after stroke has not been explored in detail. We investigated the pre-stroke PA level in relation to the post-stroke serum IGF-I (s-IGF-I) level, at baseline and at 3 months after the index stroke, and calculated the change that occurred between these two time-points (Delta IGF-I). Patients (N = 380; 63.4% males; mean age, 54.7 years) with data on 1-year leisure-time pre-stroke PA and post-stroke s-IGF-I levels were included from the Sahlgrenska Academy Study on Ischemic Stroke (SAHLSIS). Stroke severity was assessed using the National Institutes of Health Stroke Scale (NIHSS). Pre-stroke, leisure-time PA was self-reported as PA1-4, with PA1 representing sedentary and PA2-4 indicating progressively higher PA levels. Associations between s-IGF-I and PA were evaluated by multiple linear regressions with PA1 as the reference and adjustments being made for sex, age, history of previous stroke or myocardial infarctions, cardiovascular risk factors, and stroke severity. PA correlated with baseline s-IGF-I and Delta IGF-I, but not with the 3-month s-IGF-I. In the linear regressions, there were corresponding associations that remained as a tendency (baseline s-IGF-I, p = 0.06) or as a significant effect (Delta IGF-I, p = 0.03) after all the adjustments. Specifically, for each unit of PA, Delta IGF-I increased by 9.7 (95% CI 1,1-18.4) ng/mL after full adjustment. This supports the notion that pre-stroke PA is independently related to Delta IGF-I.

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