List of Online-first articles on the SJWEH website http://www.sjweh.fi/list_onlinefirst_rss.php en-US SJWEH 1 lodo@ttl.fi (Lisa O\'Donoghue-Lindy) risto@toivonen.biz (Risto Toivonen) http://www.sjweh.fi/show_abstract.php?abstract_id=4294 http://www.sjweh.fi/show_abstract.php?abstract_id=4294 Thu, 30 Apr 2026 01:52:12 +0200 Review 2=43.91%], gastrointestinal temperature (MD -0.26°C; -0.52– -0.001; I²=98.13%), skin temperature (MD -1.14°C; -1.85– -0.42; I²=96.56%), and heart rate (MD -7.69 bpm; -11.22– -4.15; I²=73.19%). Egger’s tests suggested possible small-study effects for skin temperature and heart rate but not for core temperatures. Subgroup analyses indicated more consistent benefits with water/ice and PCM garments. Overall certainty ranged from low to very low due to risk of bias, inconsistency, and imprecision. Conclusions Wearable cooling attenuates physiological heat strain and improves thermal comfort, particularly via water/ice and PCM systems. Given high heterogeneity and low certainty, adequately powered, standardized, head-to-head trials are needed. by Sheth A, Viramgami A, Thakor M, Modi B, Bagepally B, Kar A, Ram E, Dave A, Balachandar R. doi:10.5271/sjweh.4302]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4302 http://www.sjweh.fi/show_abstract.php?abstract_id=4302 Thu, 30 Apr 2026 01:22:23 +0200 Original article X and T_X+1 (concurrent analysis). To clarify temporality, changes in health-related behaviors were further calculated at time T_X+1 to T_X+2 (longitudinal analysis). We applied logistic regression with generalized estimating equations. Subgroup differences by sex were examined. Results Among 125 854 participant-observations across 2–3 study phases of the 78 624 participants, 6–8% experienced onset of workplace bullying and 9–14% reported onset of workplace violence over 1–2 years. The strongest association was observed between onset of violence and becoming obese, with an odds ratio (OR) of 1.13 [95% confidence interval (CI) 1.00–1.27] in the concurrent and 1.31 (95% CI 1.05–1.64) in the longitudinal analysis. In addition, onset of bullying (OR 1.23, 95% CI 1.06–1.44) and violence (OR 1.11, 95% CI 0.99–1.24) were concurrently associated with initiation of excessive alcohol use, with weaker associations in the longitudinal analysis. Exposure–response relationships were observed for all aforementioned associations and findings were consistent across cohorts. Men were more likely to initiate excessive alcohol use than women after experiencing violence (P=0.008). Conclusion Exposure to workplace bullying and violence was associated with adverse changes in health-related behaviors. by Xu T, Nielsen MB, Clark AJ, Rugulies R, Pentti J, Sørensen JK, Nordentoft M, Westerlund H, Stenholm S, Vahtera J, Madsen IEH, Hansen ÅM, Virtanen M, Knardahl S, Oksanen T, Kivimäki M, Magnusson Hanson LL, Rod NH. doi:10.5271/sjweh.4303]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4303 http://www.sjweh.fi/show_abstract.php?abstract_id=4303 Thu, 30 Apr 2026 00:07:54 +0200 Original article by Kashima R, Takada T, Matsuo T, So R. doi:10.5271/sjweh.4297]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4297 http://www.sjweh.fi/show_abstract.php?abstract_id=4297 Mon, 20 Apr 2026 17:46:58 +0200 Original article by Peláez Zuberbuhler J, Strömberg A, Thern E, Landstad BJ, Sjöström M, Brulin E. doi:10.5271/sjweh.4299]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4299 http://www.sjweh.fi/show_abstract.php?abstract_id=4299 Fri, 17 Apr 2026 16:49:24 +0200 Review by Bonde JP, Skaaby S, Flachs EM, Dollard M, Keyes K, Rosengren A, Mehlum IS, Mikkelsen S. doi:10.5271/sjweh.4291]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4291 http://www.sjweh.fi/show_abstract.php?abstract_id=4291 Wed, 15 Apr 2026 15:49:12 +0200 Original article by Nabe-Nielsen K, Aagaard A, Larsen AD, Nielsen HB, Hansen J, Hansen ÅM, Kolstad HA, Vestergaard JM, Garde AH. doi:10.5271/sjweh.4295]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4295 http://www.sjweh.fi/show_abstract.php?abstract_id=4295 Fri, 10 Apr 2026 00:23:00 +0200 Original article by Holme AN, Moen LV, Sallinen M, Nilsen KB, Boccara CN, Phillips AJK, Haugen F, Matre D. doi:10.5271/sjweh.4290]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4290 http://www.sjweh.fi/show_abstract.php?abstract_id=4290 Thu, 09 Apr 2026 23:35:32 +0200 Original article by Shen Q-M, Li Z-Y, Tan Y-T, Gao L-F, Liu D-K, Li H-L, Yang W-S, Xiang Y-B. doi:10.5271/sjweh.4300]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4300 http://www.sjweh.fi/show_abstract.php?abstract_id=4300 Wed, 08 Apr 2026 11:52:17 +0200 Editorial References 1. 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Health effects of informal caregiving across Europe: A longitudinal approach. Soc Sci Med. 2017;173:72-80. https://doi.org/10.1016/j.socscimed.2016.11.036 6. Mikkola TM, Mänty M, Kautiainen H, von Bonsdorff MB, Haanpää M, Koponen H, et al. Work incapacity among family caregivers: a record linkage study. J Epidemiol Community Health. 2022;76(6):580-5. https://doi.org/10.1136/jech-2021-217901 7. Lacey RE, Xue B, Di Gessa G, Lu W, McMunn A. Mental and physical health changes around transitions into unpaid caregiving in the UK: a longitudinal, propensity score analysis. Lancet Pub Health. 2024;9(1):e16-e25. https://doi.org/10.1016/S2468-2667(23)00206-2 8. Lee S, Colditz GA, Berkman LF, Kawachi I. Caregiving and risk of coronary heart disease in U.S. women: a prospective study. Am J Prev Med. 2003;24(2):113-9. https://doi.org/10.1016/S0749-3797(02)00582-2 9. Park SS. Caregivers’ Mental Health and Somatic Symptoms During COVID-19. J Gerontol B Psychol Sci Soc Sci. 2021;76(4):e235-e40. https://doi.org/10.1093/geronb/gbaa121 10. Tseliou F, Rosato M, Maguire A, Wright D, O’Reilly D. Variation of Caregiver Health and Mortality Risks by Age: A Census-Based Record Linkage Study. Am J Epidemiol. 2018;187(7):1401-10. https://doi.org/10.1093/aje/kwx384 11. Mikkola TM, Kautiainen H, Mänty M, von Bonsdorff MB, Kröger T, Eriksson JG. Age-dependency in mortality of family caregivers: a nationwide register-based study. Aging Clin Exp Res. 2021;33(7):1971-80. https://doi.org/10.1007/s40520-020-01728-4 12. Buyck JF, Ankri J, Dugravot A, Bonnaud S, Nabi H, Kivimäki M, Singh-Manoux A. Informal caregiving and the risk for coronary heart disease: the Whitehall II study. J Gerontol A Biol Sci Med Sci. 2013;68(10):1316-23. https://doi.org/10.1093/gerona/glt025 13. Mortensen J, Clark AJ, Lange T, Andersen GS, Goldberg M, Ramlau-Hansen CH, et al. 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Scand J Work Environ Health. 2025(3):181-90. https://doi.org/10.5271/sjweh.4208 17. Virtanen M, Myllyntausta S, Ervasti J, Oksanen T, Salo P, Pentti J, et al. Shift work, work time control, and informal caregiving as risk factors for sleep disturbances in an ageing municipal workforce. Scand J Work Environ Health. 2021(3):181-90. https://doi.org/10.5271/sjweh.3937 18. Bijnsdorp FM, van der Beek AJ, Broese van Groenou MI, Proper KI, van den Heuvel SG, Boot CR. Associations of combining paid work and family care with gender-specific differences in depressive symptoms among older workers and the role of work characteristics. Scand J Work Environ Health. 2022;48(3):190-9. https://doi.org/10.5271/sjweh.4014 19. Mortensen J, Dich N, Lange T, Alexanderson K, Goldberg M, Head J, et al. Job strain and informal caregiving as predictors of long-term sickness absence: A longitudinal multi-cohort study. Scand J Work Environ Health. 2017;43(1):5-14. https://doi.org/10.5271/sjweh.3587 20. European Commission: Directorate-General for Employment, Social Affairs and Inclusion and London School of Economics and Political Science (LSE), Informal care in Europe – Exploring formalisation, availability and quality, Publications Office, 2018. https://data.europa.eu/doi/10.2767/78836 21. Is the Last Mile the Longest? Economic Gains from Gender Equality in Nordic Countries, Gender Equality at Work. Paris: OECD; 2018. 22. Rostgaard T, Jacobsen F, Kröger T, Peterson E. Revisiting the Nordic long-term care model for older people-still equal? Eur J Ageing. 2022;19(2):201-10. https://doi.org/10.1007/s10433-022-00703-4 23. Virtanen M, Oksanen T, Pentti J, Ervasti J, Head J, Stenholm S, et al. Occupational class and working beyond the retirement age: a cohort study. Scand J Work Environ Health. 2017;43(5):426-35. https://doi.org/10.5271/sjweh.3645 by Ervasti J, Mikkola TM. doi:10.5271/sjweh.4292]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4292 http://www.sjweh.fi/show_abstract.php?abstract_id=4292 Mon, 06 Apr 2026 16:25:03 +0200 Original article by Ciliacus R, Porru F, Burdorf A, Schuring M. doi:10.5271/sjweh.4285]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4285 http://www.sjweh.fi/show_abstract.php?abstract_id=4285 Thu, 02 Apr 2026 15:22:20 +0200 Original article by Sivaraj LB, Macpherson RA, McLeod CB. doi:10.5271/sjweh.4282]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4282 http://www.sjweh.fi/show_abstract.php?abstract_id=4282 Thu, 02 Apr 2026 12:27:16 +0200 Review 2=86.0%; 95% PI 10.2–73.4). Prevalence of AOO varied by: (i) data sources (registry/compensation: 50.1% versus clinic: 32.0%; P=0.015); (ii) study size (>80 participants: 43.4% versus ≤80: 27.9%; P=0.033); (iii) baseline forced expiratory volume in 1 second (FEV₁) (≤85% predicted: 38.2% versus >85% predicted: 13.8%; P=0.008); and (iv) exposure duration before symptom onset (>7.1 years: 35.7% versus ≤7.1 years: 15.7%; P=0.015). Heterogeneity across studies was substantial and several subgroups included fewer than five studies. Conclusions More than one-third of workers with OA experience an AOO. The findings highlight the need for harmonized outcome definitions and for interventions integrating early referral, exposure control, and structured return-to-work programs to avoid AOO. by Damerau LS, Helm MW, Pieter J, Velasco Garrido M, Harth V, Hoven H, Preisser AM. doi:10.5271/sjweh.4280]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4280 http://www.sjweh.fi/show_abstract.php?abstract_id=4280 Mon, 02 Mar 2026 13:24:50 +0200 Commentary by Guseva Canu I, van der Molen HF]]>