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=4314 http://www.sjweh.fi/show_abstract.php?abstract_id=4314 Fri, 03 Jul 2026 15:55:25 +0200 Original article by Makkonen A, Kalliolahti E, Suomalainen E, Tuominen J, Salo P, Ervasti J. doi:10.5271/sjweh.4317]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4317 http://www.sjweh.fi/show_abstract.php?abstract_id=4317 Thu, 02 Jul 2026 16:47:52 +0200 Original article by Kim K, Kang J, Lim DM, Jang S, Lee Y, Lee YH, Yoon HJ, Yang S, Kim SH, Lee D, Jang WI, Sung H, Kim M-J, Son E, Kim H-S, Lee D, Park HR, Seo S, Kim YH. doi:10.5271/sjweh.4316]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4316 http://www.sjweh.fi/show_abstract.php?abstract_id=4316 Thu, 25 Jun 2026 15:38:30 +0200 Original article by Pan K-Y, Nevriana A, Blindow K, Almroth M, Kjellberg K, Falkstedt D. doi:10.5271/sjweh.4310]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4310 http://www.sjweh.fi/show_abstract.php?abstract_id=4310 Wed, 24 Jun 2026 14:57:40 +0200 Original article by Andersen AJ, Pedersen M, Hannerz H, Tøttenborg SS, Flachs EM, Bonde JPE, Selander J, Begtrup LM, Sejbaek CS, Hougaard KS. doi:10.5271/sjweh.4315]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4315 http://www.sjweh.fi/show_abstract.php?abstract_id=4315 Thu, 18 Jun 2026 12:58:59 +0200 Letter to the Editor References 1. Bonde JP, Skaaby S, Flachs EM, Dollard M, Keyes K, Rosengren A et al. The demands-control-support work stress model and risk of ischemic heart disease: causal inference based on observational epidemiology. Scand J Work Environ Health 2026 Apr. [Epub ahead of print]. https://doi.org/10.5271/sjweh.4299. 2. Xu S, Huang Y, Xiao J, Zhu W, Wang L, Tang H et al. The association between job strain and coronary heart disease: a meta-analysis of prospective cohort studies. Ann Med 2015;47(6):512–8. https://doi.org/10.3109/07853890.2015.1075658. 3. Zahiriharsini A, Gilbert-Ouimet M, Hervieux V, Trudel X, Matteau L, Jalbert L et al. Incorporating sex and gender considerations in research on psychosocial work exposures and cardiovascular diseases: A systematic review of 55 prospective studies. Neurosci Biobehav Rev 2024 Dec;167:105916. https://doi.org/10.1016/j.neubiorev.2024.105916. 4. Schwartz JE, Pieper CF, Karasek RA. A procedure for linking psychosocial job characteristics data to health surveys. Am J Public Health 1988 Aug;78(8):904–9. https://doi.org/10.2105/AJPH.78.8.904. 5. Metcalfe C, Davey Smith G, Macleod J, Heslop P, Hart C. Self-reported stress and subsequent hospital admissions as a result of hypertension, varicose veins and haemorrhoids. J Public Health Med 2003 Mar;25(1):62–8. https://doi.org/10.1093/pubmed/fdg013. 6. Lavigne-Robichaud M, Trudel X, Talbot D, Milot A, Gilbert-Ouimet M, Vézina M et al. Psychosocial stressors at work and coronary heart disease risk in men and women: 18-year prospective cohort study of combined exposures. Circ Cardiovasc Qual Outcomes 2023 Oct;16(10):e009700. https://doi.org/10.1161/CIRCOUTCOMES.122.009700. 7. Tiwa Diffo E, Lavigne-Robichaud M, Milot A, Brisson C, Gilbert-Ouimet M, Vézina M et al. Psychosocial stressors at work and atrial fibrillation incidence: An 18-year prospective study. J Am Heart Assoc 2024 Aug;13(16):e032414. https://doi.org/10.1161/JAHA.123.032414. 8. Kivimäki M, Nyberg ST, Batty GD, Fransson EI, Heikkilä K, Alfredsson L et al.; IPD-Work Consortium. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012 Oct;380(9852):1491–7. https://doi.org/10.1016/S0140-6736(12)60994-5. 9. Choi BK, Schnall P, Landsbergis P, Dobson M, Ko S, Gómez-Ortiz V et al. Recommendations for individual participant data meta-analyses on work stressors and health outcomes: comments on IPD-Work Consortium papers. Scand J Work Environ Health 2015 May;41(3):299–311. https://doi.org/10.5271/sjweh.3484. 10. Kivimäki M, Singh-Manoux A, Virtanen M, Ferrie JE, Batty GD, Rugulies R; IPD-Work consortium. IPD-Work consortium: pre-defined meta-analyses of individual-participant data strengthen evidence base for a link between psychosocial factors and health. Scand J Work Environ Health 2015 May;41(3):312–21. https://doi.org/10.5271/sjweh.3485. 11. Lavigne-Robichaud M, Trudel X, Talbot D, Milot A, Pena-Gralle AP, Mésidor M et al. Coronary heart disease attributable to psychosocial stressors at work. JACC Adv 2025 Oct;4(10 Pt 2):102160. https://doi.org/10.1016/j.jacadv.2025.102160. by Lavigne-Robichaud M, Landsbergis P, Brisson C, Sembajwe G, Gilbert-Ouimet M, Li J, Milot A, Trudel X. doi:10.5271/sjweh.4308]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4308 http://www.sjweh.fi/show_abstract.php?abstract_id=4308 Thu, 11 Jun 2026 17:20:00 +0200 Review by Magnusson Hanson LL, Madsen IEH, Blomqvist S, Holmgren R, Sørensen K, Rugulies R. doi:10.5271/sjweh.4311]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4311 http://www.sjweh.fi/show_abstract.php?abstract_id=4311 Thu, 11 Jun 2026 00:06:17 +0200 Original article adj) 3.21, 95% CI 1.38–7.48], a positive anti-HCV Ab test (PR_adj 23.52, 95% CI 11.30–48.96), and upward pesticide spraying (PR_adj 3.39, 95% CI 1.52–7.54) as independent risk factors for abnormal liver tests. Conclusions Pesticide use was associated with a higher risk of liver injury, particularly among upward sprayers and those with hepatitis B or C infection. The abnormal liver test cases attributable to upward pesticide spraying in this population might be as large as hepatitis B, supporting the importance of pesticide exposure. by Liu Y-C, Kuo T-C, Guo H-R. doi:10.5271/sjweh.4312]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4312 http://www.sjweh.fi/show_abstract.php?abstract_id=4312 Wed, 03 Jun 2026 20:23:36 +0200 Original article by Jetha A, Liao Q, Smith P, Vu V, Biswas A, Smith B, Vahid Shahidi F. doi:10.5271/sjweh.4289]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4289 http://www.sjweh.fi/show_abstract.php?abstract_id=4289 Thu, 14 May 2026 21:36:58 +0200 Original article 33 weeks). The outcomes of interest were SGA, BW, and HC. Of 47 factors (17 chemical, 8 physical, 4 biological, 12 biomechanical, 3 organizational and 3 psychosocial) to which mothers were exposed in their occupation assessed by job-exposure matrices in this cohort, we included those for which the epidemiological or experimental literature suggests an association with fetal growth. Logistic and linear regression models that included all preselected exposure variables were performed and adjusted for potential confounders. We conducted additional analysis stratified by trimester of pregnancy. Results The logistic model, which included all preselected variables, reported that – for all women – exposure to ultrafine particles (UFP) increased SGA risk [odds ratio (OR) 1.46, 95% confidence interval (CI) 1.12–1.90] while standing decreased it (OR 0.82, 95% CI 0.67–1.00). Among mothers who stopped working during the first/second trimester of pregnancy, we found the same SGA risk for UFP; exposure to high strain also increased the risk (OR 1.81, 95% CI 1.18–2.83). Among those who stopped working during the third trimester, exposure to oxygenated solvents increased SGA risk (OR 2.24, 95% CI 1.08–4.41). In the linear model, for all women, there was a decrease in BW (β -34 grams, 95% CI -66– -1.1) among those exposed to UFP. For mothers who stopped working during the first/second trimester, exposure to vibration increased BW, while among those who stopped working during the third trimester, exposure to night work increased BW. Exposure to oxygenated solvents decreased HC (β -0.22 cm, 95% CI -0.44–0.00) among all women. Conclusion These findings suggest the possible influence of chemical and strenuous factors at work on fetal growth, particularly depending on the trimester in which pregnant mothers stopped working. While the combined assessment of multiple exposures did not reveal clear associations, further studies are needed to explore potential interactions and underlying biological mechanisms. by Tartaglia M, Jaunas K, Audignon-Durand S, Houot M-T, Turuban M, Roeleveld N, Siemiatycki J, Dufourg MN, Carles C, Pilorget C, Uuksulainen S, Turner MC, Descatha A, Garlantézec R, Delva F. doi:10.5271/sjweh.4305]]> http://www.sjweh.fi/show_abstract.php?abstract_id=4305 http://www.sjweh.fi/show_abstract.php?abstract_id=4305 Tue, 05 May 2026 12:36:26 +0200 Original article by Rønnow MM, Vestergaard JM, Rytter D, Fenger-Grøn M, Willert MV, Andersen JH, Kyndi M. doi:10.5271/sjweh.4294]]> 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]]>