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Kunutsor SK, Isiozor NM, Kurl S, Laukkanen JA. Enhancing Cardiorespiratory Fitness Through Sauna Bathing: Insights From the Kuopio Ischemic Heart Disease Prospective Study. J Cardiopulm Rehabil Prev 2024; 44:295-300. [PMID: 38836690 DOI: 10.1097/hcr.0000000000000876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
PURPOSE The physiological adaptations stimulated by a sauna bath (SB) are similar to those produced by moderate- or high-intensity physical activity (PA), but the relationship between SB and cardiorespiratory fitness (CRF) is not clear. The objective of this study was to evaluate the cross-sectional and longitudinal associations between frequency and duration of SB with CRF. METHODS Baseline SB habits were assessed in 2012 men aged 42 -61 yr. CRF was directly measured using a respiratory gas exchange analyzer during cardiopulmonary exercise testing at baseline and 11 yr later. The associations of SB frequency and duration with baseline and 11-yr levels of CRF were examined using robust regression analyses adjusted for several confounders, including lifestyle factors such as PA. RESULTS In baseline analysis, a unit increase in sauna sessions/wk was associated with an increase in CRF 0.30 mL/kg/min (standard error [SE]: 0.14; P = .034). Alternatively, compared with a single sauna sessions/wk, 2-3 and 4-7 sauna sessions/wk was each associated with significant increases in levels of CRF: 0.84 mL/kg/min (SE: 0.32; P = .008) and 1.17 mL/kg/min (SE: 0.57; P = .041), respectively. In longitudinal analysis, frequent SB was associated with increases in 11-yr CRF levels, but this was only significant for 2-3 sauna sessions/wk compared with a single sauna sessions/wk: 1.22 mL/kg/min (SE: 0.59; P = .038). Duration of SB was not significantly associated with CRF levels in cross-sectional and longitudinal analyses. CONCLUSIONS Frequent SB may improve levels of CRF independently of PA. These results warrant replication in robust definitive randomized controlled trials.
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Affiliation(s)
- Setor K Kunutsor
- Author Affiliations: Leicester Real World Evidence Unit, Diabetes Research Centre (Dr Kunutsor), University of Leicester, Leicester General Hospital, Leicester, United Kingdom; Institute of Clinical Medicine (Drs Isiozor and Laukkanen), Institute of Public Health and Clinical Nutrition (Drs Kurl and Laukkanen), University of Eastern Finland, Kuopio, Finland; and Wellbeing Services County of Central Finland, Department of Medicine (Dr Laukkanen), Jyväskylä, Finland
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Kunutsor SK, Seidu S, Kurl S, Laukkanen JA. Baseline and usual triglyceride-glucose index and the risk of chronic kidney disease: a prospective cohort study. GeroScience 2024; 46:3035-3046. [PMID: 38180700 PMCID: PMC11009217 DOI: 10.1007/s11357-023-01044-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 12/11/2023] [Indexed: 01/06/2024] Open
Abstract
Triglyceride-glucose (TyG) index is an emerging marker of adverse cardiometabolic conditions such as cardiovascular disease and type 2 diabetes. The long-term relevance of TyG index to chronic kidney disease (CKD) is uncertain. We aimed to assess the association of TyG index with CKD risk and its utility in risk prediction in a prospective study. The TyG index was calculated using fasting triglycerides and fasting plasma glucose (FPG) levels measured in 2362 men aged 42-61 years with normal kidney function using the formula: Ln (fasting triglycerides [mg/dL] × FPG [mg/dL]/2). Multivariable adjusted hazard ratios (HRs) (95% confidence intervals, CIs) were estimated for CKD. Correction for within-person variability was made using data from repeat measurements of triglycerides and FPG taken 11 years after baseline. Over a median follow-up duration of 17.5 years, 223 CKD cases were recorded. The age-adjusted regression dilution ratio for the TyG index was 0.54 (95% CI, 0.48-0.60). The risk of CKD increased continuously with increasing TyG index across the range 9.3 to 11.6 (p value for nonlinearity<.001). In analysis adjusted for established risk factors, a unit higher TyG index was associated with an increased risk of CKD (HR 1.59, 95% CI 1.24-2.05). Comparing extreme tertiles of the TyG index, the corresponding adjusted HR (95% CI) for CKD was 1.61 (1.15-2.27). Addition of the TyG index to a CKD risk prediction model containing established risk factors improved risk discrimination and reclassification (p value for difference in -2 log likelihood<.001; NRI=47.66%, p=.014; IDI=0.0164, p<.001). Higher TyG index is associated with an increased risk of CKD and improves the prediction and classification of CKD beyond established risk factors. Using single baseline estimations of the TyG index to investigate its association with CKD risk could considerably under-estimate the true association.
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Affiliation(s)
- Setor K Kunutsor
- Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester General Hospital, Gwendolen Road, Leicester, LE5 4WP, UK.
| | - Samuel Seidu
- Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester General Hospital, Gwendolen Road, Leicester, LE5 4WP, UK
| | - Sudhir Kurl
- Department of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jari A Laukkanen
- Department of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Wellbeing Services County of Central Finland, Department of Medicine, Jyväskylä, Finland
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Kunutsor SK, Jae SY, Kurl S, Kauhanen J, Laukkanen JA. Inflammation, sauna bathing, and all-cause mortality in middle-aged and older Finnish men: a cohort study. Eur J Epidemiol 2022; 37:1225-1231. [PMID: 36255556 PMCID: PMC9792415 DOI: 10.1007/s10654-022-00926-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 09/26/2022] [Indexed: 12/30/2022]
Abstract
Inflammation and sauna bathing are each related to the risk of all-cause mortality. The interplay between inflammation, sauna bathing and all-cause mortality is not well understood. We aimed to evaluate the separate and joint associations of inflammation (high sensitivity C-reactive protein, hsCRP) and frequency of sauna bathing (FSB) with all-cause mortality in a cohort of Caucasian men. We used the Kuopio Ischaemic Heart Disease Study cohort comprising 2575 men aged 42-61 years at baseline. Serum hsCRP was measured using an immunometric assay and sauna bathing habits were assessed by a self-administered questionnaire. High sensitivity CRP was categorized as normal and high (≤ 3 and > 3 mg/L, respectively) and FSB as low and high (defined as ≤ 2 and 3-7 sessions/week respectively). A total of 1618 deaths occurred during a median follow-up of 27.8 years. Comparing high vs normal hsCRP levels, the multivariable-adjusted HR (95% CI) for all-cause mortality was 1.27 (1.13-1.44). Comparing high vs low FSB, the multivariable-adjusted HR (95% CI) for all-cause mortality was 0.86 (0.76-0.97). Compared with normal hsCRP-low FSB, high hsCRP-low FSB was associated with an increased risk of all-cause mortality 1.28 (1.12-1.47), with no evidence of an association for high hsCRP-high FSB and all-cause mortality risk 1.06 (0.81-1.40). Positive additive and multiplicative interactions were found between hsCRP and FSB in relation to mortality. In a general Finnish male population, both hsCRP and FSB are each independently associated with all-cause mortality. However, frequent sauna baths appear to offset the increased all-cause mortality risk related to high hsCRP levels.
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Affiliation(s)
- Setor K. Kunutsor
- grid.410421.20000 0004 0380 7336National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK ,grid.5337.20000 0004 1936 7603Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Learning & Research Building (Level 1), Southmead Hospital, Bristol, BS10 5NB UK ,grid.9918.90000 0004 1936 8411Diabetes Research Centre, Leicester General Hospital, University of Leicester, Gwendolen Road, Leicester, LE5 4WP UK
| | - Sae Young Jae
- grid.267134.50000 0000 8597 6969Graduate School of Urban Public Health, University of Seoul, Seoul, Republic of Korea ,grid.267134.50000 0000 8597 6969Department of Sport Science, University of Seoul, Seoul, South Korea ,grid.267134.50000 0000 8597 6969Department of Urban Big Data Convergence, University of Seoul, Seoul, Republic of Korea
| | - Sudhir Kurl
- grid.9668.10000 0001 0726 2490Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Jussi Kauhanen
- grid.9668.10000 0001 0726 2490Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Jari A. Laukkanen
- grid.9668.10000 0001 0726 2490Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland ,grid.9668.10000 0001 0726 2490Department of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland ,grid.460356.20000 0004 0449 0385Department of Medicine, Central Finland Health Care District, Hospital District, Jyvaskyla, Finland
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