{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T05:07:38Z","timestamp":1789016858670,"version":"build-2803163510"},"reference-count":87,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T00:00:00Z","timestamp":1788393600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Med. Sci.","Medical Sciences"],"abstract":"<jats:p>Background: Technostress has emerged as a growing occupational health concern in increasingly digitalized workplaces. Although its psychological consequences have been extensively investigated, little is known about its potential association with metabolic health and insulin resistance. This study aimed to evaluate the relationship between technostress and insulin resistance risk using four validated surrogate markers in a large cohort of Spanish workers. Methods: A cross-sectional study was conducted among 104,175 Spanish workers who underwent routine occupational health assessments. Technostress was assessed using a 15-item questionnaire covering five technostress dimensions and was analyzed using four operational categories (low, moderate, high, and very high). Insulin resistance risk was assessed using the triglyceride\u2013glucose (TyG) index, TyG-body mass index (TyG-BMI), the metabolic score for insulin resistance (METS-IR), and the single-point insulin sensitivity estimator (SPISE). Sociodemographic characteristics, lifestyle habits, anthropometric measurements, and biochemical parameters were also recorded. Modified Poisson regression with robust variance estimation was used to estimate crude and adjusted prevalence ratios (PRs) for increased insulin resistance risk according to technostress level. Firth penalized logistic regression was additionally performed as a sensitivity analysis to address sparse-data bias and separation. Results: Higher technostress levels were associated with progressively less favorable anthropometric and metabolic profiles. The prevalence of increased insulin resistance risk rose significantly across technostress categories for all markers evaluated (p &lt; 0.001). For TyG, prevalence increased from 3.8% in the low technostress group to 54.3% in the very high technostress group. Corresponding increases were observed for TyG-BMI (0.2% to 78.2%), METS-IR (0.0% to 45.2%), and elevated SPISE-IR values (0.0% to 57.5%). After adjustment for age, sex, educational level, physical activity, adherence to the Mediterranean diet, and smoking status, higher technostress remained associated with a higher prevalence of increased insulin resistance risk. A clear graded cross-sectional pattern was observed, with the strongest associations found among workers reporting very high technostress. Conclusions: Higher technostress was associated with a higher prevalence of increased insulin resistance risk according to TyG, the primary outcome, with a clear graded cross-sectional pattern across technostress categories. Associations were also observed for the secondary BMI-containing indices (TyG-BMI, METS-IR, and SPISE-IR), which should be interpreted as complementary rather than independent evidence. Given the cross-sectional design and the pronounced clustering of technostress with adiposity and lifestyle characteristics, residual confounding cannot be excluded and causal inference is not possible.<\/jats:p>","DOI":"10.3390\/medsci14050545","type":"journal-article","created":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T16:21:21Z","timestamp":1788452481000},"page":"545","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Technostress and Insulin Resistance Risk: A Cross-Sectional Analysis of 104,175 Spanish Workers Using TyG, TyG-BMI, METS-IR, and SPISE Indices"],"prefix":"10.3390","volume":"14","author":[{"given":"Marta","family":"Gonz\u00e1lez Rivas","sequence":"first","affiliation":[{"name":"ADEMA University School, University of the Balearic Islands, 07009 Palma, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7439-8117","authenticated-orcid":false,"given":"\u00c1ngel Arturo","family":"L\u00f3pez-Gonz\u00e1lez","sequence":"additional","affiliation":[{"name":"ADEMA University School, University of the Balearic Islands, 07009 Palma, Spain"},{"name":"Primary Care, Balearic Health Service, 07010 Palma, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diego","family":"Gonz\u00e1lez Carrasco","sequence":"additional","affiliation":[{"name":"ADEMA University School, University of the Balearic Islands, 07009 Palma, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9367-2137","authenticated-orcid":false,"given":"Carla","family":"Busquets-Cort\u00e9s","sequence":"additional","affiliation":[{"name":"ADEMA University School, University of the Balearic Islands, 07009 Palma, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3071-5897","authenticated-orcid":false,"given":"Mar\u00eda Te\u00f3fila","family":"Vicente-Herrero","sequence":"additional","affiliation":[{"name":"ADEMA University School, University of the Balearic Islands, 07009 Palma, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6887-4562","authenticated-orcid":false,"given":"Jos\u00e9 Ignacio","family":"Ram\u00edrez-Manent","sequence":"additional","affiliation":[{"name":"ADEMA University School, University of the Balearic Islands, 07009 Palma, Spain"},{"name":"Primary Care, Balearic Health Service, 07010 Palma, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,9,3]]},"reference":[{"key":"ref_1","unstructured":"Eurofound (2026, July 14). Living, Working and COVID-19, Available online: https:\/\/www.eurofound.europa.eu\/en\/publications\/all\/living-working-and-covid-19."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Kopuz, K., Turgut, M., and Ayd\u0131n, G. (2025). Technostress among nurses: Boon or bane? The moderated mediation model. BMC Nurs., 24.","DOI":"10.1186\/s12912-025-03721-6"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1007\/s00420-018-1352-1","article-title":"Definition, symptoms and risk of techno-stress: A systematic review","volume":"92","author":"Esposito","year":"2019","journal-title":"Int. Arch. Occup. Environ. Health"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1007\/s44155-025-00259-5","article-title":"Understanding digital wellbeing: Impacts, strategies, and the path to healthier technology practices","volume":"5","author":"Uslu","year":"2025","journal-title":"Discov. Soc. Sci. Health"},{"key":"ref_5","unstructured":"Brod, C. (1984). Technostress: The Human Cost of the Computer Revolution, Addison-Wesley."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1961","DOI":"10.2147\/PRBM.S446782","article-title":"Role and Status of Biomarkers in Technostress Research: A Systematic Review","volume":"17","author":"Mishra","year":"2024","journal-title":"Psychol. Res. Behav. Manag."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"831","DOI":"10.2307\/41409963","article-title":"Technostress: Technological antecedents and implications","volume":"35","author":"Ayyagari","year":"2011","journal-title":"MIS Q."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1287\/isre.1070.0165","article-title":"The consequences of technostress for end users in organizations: Conceptual development and empirical validation","volume":"19","author":"Tarafdar","year":"2008","journal-title":"Inf. Syst. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"m3577","DOI":"10.1136\/bmj.m3577","article-title":"COVID-19 in the workplace","volume":"370","author":"Agius","year":"2020","journal-title":"BMJ"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1111\/apps.12290","article-title":"Achieving Effective Remote Working During the COVID-19 Pandemic: A Work Design Perspective","volume":"70","author":"Wang","year":"2021","journal-title":"Appl. Psychol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"G1","DOI":"10.1530\/EJE-21-0716","article-title":"Updated clinical management guidance during the COVID-19 pandemic: Thyroid nodules and cancer","volume":"186","author":"Giannoula","year":"2022","journal-title":"Eur. J. Endocrinol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"e103783","DOI":"10.1136\/bmjopen-2025-103783","article-title":"Technostress among healthcare professionals in Spain: A cross-sectional survey on the impact of digital health tools","volume":"15","author":"Yuguero","year":"2025","journal-title":"BMJ Open"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"S\u00e1nchez-Toledo Ledesma, A. (2026). Technostress in Spain between 2016 and 2024: Perception of the impact of teleworking on the health of Spanish workers. Front. Psychol., 17.","DOI":"10.3389\/fpsyg.2026.1774427"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Li\u021ban, D.E. (2025). Mental health in the \u201cera\u201d of artificial intelligence: Technostress and the perceived impact on anxiety and depressive disorders\u2014An SEM analysis. Front. Psychol., 16.","DOI":"10.3389\/fpsyg.2025.1600013"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"4734","DOI":"10.1111\/jan.16640","article-title":"The Impact of Technostress, Nursing Informatics Competency and Knowledge-Sharing Behaviour on Nursing Work Performance Among Tertiary Hospital Nurses","volume":"81","author":"Baek","year":"2025","journal-title":"J. Adv. Nurs."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1177\/21650799241264317","article-title":"The Extent to Which Technostress is Related to Employees\u2019 Work-Life Fit: A Multilevel Meta-Analysis","volume":"72","author":"Bottaro","year":"2024","journal-title":"Workplace Health Saf."},{"key":"ref_17","first-page":"107","article-title":"Association between sociodemographic variables, healthy habits and stress with insulin resistance risk scales","volume":"40","year":"2025","journal-title":"Acad. J. Health Sci."},{"key":"ref_18","first-page":"317","article-title":"Molecular mechanisms linking stress and insulin resistance","volume":"21","author":"Yaribeygi","year":"2022","journal-title":"EXCLI J."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1038\/nrcardio.2017.189","article-title":"Effects of stress on the development and progression of cardiovascular disease","volume":"15","author":"Steptoe","year":"2018","journal-title":"Nat. Rev. Cardiol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1136\/bmj.38693.435301.80","article-title":"Chronic stress at work and the metabolic syndrome: Prospective study","volume":"332","author":"Chandola","year":"2006","journal-title":"BMJ"},{"key":"ref_21","first-page":"84","article-title":"Identificaci\u00f3n de la variante polimorfica rs9939609 del gen FTO en poblaci\u00f3n duranguense","volume":"39","year":"2024","journal-title":"Acad. J. Health Sci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"15","DOI":"10.4093\/dmj.2021.0280","article-title":"Insulin Resistance: From Mechanisms to Therapeutic Strategies","volume":"46","author":"Lee","year":"2022","journal-title":"Diabetes Metab. J."},{"key":"ref_23","unstructured":"Freeman, A.M., Acevedo, L.A., and Pennings, N. (2026). Insulin Resistance. StatPearls [Internet], StatPearls Publishing."},{"key":"ref_24","first-page":"25","article-title":"Relaci\u00f3n de los \u00edndices de adiposidad visceral (VAI) y adiposidad disfuncional (DAI) con las escalas de riesgo de resistencia a la insulina y prediabetes","volume":"39","year":"2024","journal-title":"Acad. J. Health Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1822","DOI":"10.1038\/s41591-019-0675-0","article-title":"Chronic inflammation in the etiology of disease across the life span","volume":"25","author":"Furman","year":"2019","journal-title":"Nat. Med."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1080\/17437199.2021.1923406","article-title":"Stress and eating behaviours in healthy adults: A systematic review and meta-analysis","volume":"16","author":"Hill","year":"2022","journal-title":"Health Psychol. Rev."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1651","DOI":"10.1111\/obr.12915","article-title":"The association between psychological stress and metabolic syndrome: A systematic review and meta-analysis","volume":"20","author":"Kuo","year":"2019","journal-title":"Obes. Rev."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.bbi.2024.01.222","article-title":"Prospective associations of technostress at work, burnout symptoms, hair cortisol, and chronic low-grade inflammation","volume":"117","author":"Kaltenegger","year":"2024","journal-title":"Brain Behav. Immun."},{"key":"ref_29","first-page":"967","article-title":"Establishment and operation of glucose clamp technique in mice","volume":"44","author":"Gong","year":"2022","journal-title":"YI Chuan"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Li, L., Zhong, H., Shao, Y., Hua, Y., Zhou, X., and Luo, D. (2023). Association between the homeostasis model assessment of insulin resistance and coronary artery calcification: A meta-analysis of observational studies. Front. Endocrinol., 14.","DOI":"10.3389\/fendo.2023.1271857"},{"key":"ref_31","first-page":"78","article-title":"Insulin resistance risk assessed by TyG, METS-IR, and SPISE-IR scores and its association with sociodemographic and lifestyle factors in a large cohort of mechanics","volume":"40","author":"Coll","year":"2025","journal-title":"Acad. J. Health Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1186\/s12933-024-02352-6","article-title":"Association between the triglyceride glucose-body mass index and future cardiovascular disease risk in a population with Cardiovascular-Kidney-Metabolic syndrome stage 0-3: A nationwide prospective cohort study","volume":"23","author":"Li","year":"2024","journal-title":"Cardiovasc. Diabetol."},{"key":"ref_33","first-page":"92","article-title":"Influence of tobacco consumption on the values of different cardiometabolic risk scales in 418,343 spanish workers","volume":"39","author":"Paublini","year":"2024","journal-title":"Acad. J. Health Sci."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Tosoratto, J., T\u00e1rraga L\u00f3pez, P.J., L\u00f3pez-Gonz\u00e1lez, \u00c1.A., Busquets-Cortes, C., Obrador de Hevia, J., and Ramirez-Manent, J.I. (2025). Associations Between Shift Work and Insulin Resistance Markers in 53,053 Spanish Workers: A Sex-Stratified Cross-Sectional Analysis Using TyG, TyG-BMI, METS-IR, and SPISE-IR Indices. J. Clin. Med., 14.","DOI":"10.3390\/jcm14134604"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2820","DOI":"10.1111\/dom.15600","article-title":"Association of single-point insulin sensitivity estimator index (SPISE) with future cardiovascular outcomes in patients with type 2 diabetes","volume":"26","author":"Deng","year":"2024","journal-title":"Diabetes Obes. Metab."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1016\/j.jclinepi.2007.11.008","article-title":"The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies","volume":"61","author":"Altman","year":"2008","journal-title":"J. Clin. Epidemiol."},{"key":"ref_37","first-page":"263","article-title":"Propuestas de clase social neoweberiana y neomarxista a partir de la Clasificaci\u00f3n Nacional de Ocupaciones 2011 [Proposals for social class classification based on the Spanish National Classification of Occupations 2011 using neo-Weberian and neo-Marxist approaches]","volume":"27","author":"Bacigalupe","year":"2013","journal-title":"Gac. Sanit."},{"key":"ref_38","first-page":"91","article-title":"Multimetric assessment of obesity in manual workers: The impact of age, smoking, diet, and physical activity","volume":"40","year":"2025","journal-title":"Acad. J. Health Sci."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1186\/1479-5868-8-115","article-title":"Validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF): A systematic review","volume":"8","author":"Lee","year":"2011","journal-title":"Int. J. Behav. Nutr. Phys. Act."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1140","DOI":"10.3945\/jn.110.135566","article-title":"A short screener is valid for assessing Mediterranean diet adherence among older Spanish men and women","volume":"141","author":"Estruch","year":"2011","journal-title":"J. Nutr."},{"key":"ref_41","first-page":"99","article-title":"Influence of sociodemographic variables and healthy habits on the values of type 2 diabetes risk scales","volume":"39","author":"Paublini","year":"2024","journal-title":"Acad. J. Health Sci."},{"key":"ref_42","first-page":"4678526","article-title":"Diagnostic Accuracy of the Triglyceride and Glucose Index for Insulin Resistance: A Systematic Review","volume":"2020","author":"Solis","year":"2020","journal-title":"Int. J. Endocrinol."},{"key":"ref_43","first-page":"16","article-title":"Relationship between heart age and insulin resistance risk scales in 139634 Spanish workers","volume":"39","author":"Paublini","year":"2024","journal-title":"Acad. J. Health Sci."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1186\/s12933-025-03067-y","article-title":"Joint assessment of insulin resistance surrogate indices and basal metabolic rate for primary prevention of cardiometabolic multimorbidity: Evidence from the China Health and Retirement Longitudinal Study (2011\u20132020)","volume":"25","author":"Lai","year":"2026","journal-title":"Cardiovasc. Diabetol."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Ram\u00edrez-Gallegos, A., T\u00e1rraga L\u00f3pez, P.J., Ram\u00edrez Manent, J.I., Del Amo R\u00edos, A., Coll-Campayo, I., Garc\u00eda-Samuelson, M., and Gonz\u00e1lez, \u00c1.A.L. (2026). Insulin resistance risk in domestic workers: A sex-specific assessment using TyG, METS-IR, and SPISE indices in a large Mediterranean cohort. Nutr. Hosp., Epub ahead of printing.","DOI":"10.20960\/nh.06313"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"2409","DOI":"10.1002\/sim.1047","article-title":"A solution to the problem of separation in logistic regression","volume":"21","author":"Heinze","year":"2002","journal-title":"Stat. Med."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"World Medical Association (2025). World Medical Association Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Participants. JAMA, 333, 71\u201374.","DOI":"10.1001\/jama.2024.21972"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1097\/01.psy.0000170330.08704.62","article-title":"Relationship between work stress and body mass index among 45,810 female and male employees","volume":"67","author":"Kouvonen","year":"2005","journal-title":"Psychosom. Med."},{"key":"ref_49","first-page":"44","article-title":"The Impact of Fast Food Consumption on the Development of General and Central Obesity","volume":"39","author":"Naghizadeh","year":"2024","journal-title":"Acad. J. Health Sci."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1038\/nrendo.2017.64","article-title":"Type 2 diabetes mellitus and psychological stress\u2014A modifiable risk factor","volume":"13","author":"Hackett","year":"2017","journal-title":"Nat. Rev. Endocrinol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"63","DOI":"10.31887\/DCNS.2018.20.1\/bpenninx","article-title":"Metabolic syndrome in psychiatric patients: Overview, mechanisms, and implications","volume":"20","author":"Penninx","year":"2018","journal-title":"Dialogues Clin. Neurosci."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Henein, M.Y., Vancheri, S., Longo, G., and Vancheri, F. (2022). The Role of Inflammation in Cardiovascular Disease. Int. J. Mol. Sci., 23.","DOI":"10.3390\/ijms232112906"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.bbi.2017.01.011","article-title":"The effects of acute psychological stress on circulating and stimulated inflammatory markers: A systematic review and meta-analysis","volume":"64","author":"Marsland","year":"2017","journal-title":"Brain Behav. Immun."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1007\/s13679-025-00638-8","article-title":"Autolysosomal Dysfunction in Obesity-induced Metabolic Inflammation and Related Disorders","volume":"14","author":"Cheong","year":"2025","journal-title":"Curr. Obes. Rep."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.annepidem.2023.09.008","article-title":"Exhaustion and cardiovascular risk factors: The role of vagally-mediated heart rate variability","volume":"87","author":"Wekenborg","year":"2023","journal-title":"Ann. Epidemiol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.neubiorev.2009.11.005","article-title":"Psychophysiological biomarkers of workplace stressors","volume":"35","author":"Chandola","year":"2010","journal-title":"Neurosci. Biobehav. Rev."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Tu, L., Rao, Z., Jiang, H., and Dai, L. (2025). Technostress, Burnout, and Job Satisfaction: An Empirical Study of STEM Teachers\u2019 Well-Being and Performance. Behav. Sci., 15.","DOI":"10.3390\/bs15070992"},{"key":"ref_58","first-page":"43","article-title":"The Influence of Shift Work on Sociodemographic Characteristics, Anthropometric Parameters, Lifestyle Behaviors, and Its Relationship with Cardiovascular Risk Factors","volume":"40","author":"Tosoratto","year":"2025","journal-title":"Acad. J. Health Sci."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"2126","DOI":"10.2337\/db09-0699","article-title":"Sleep restriction for 1 week reduces insulin sensitivity in healthy men","volume":"59","author":"Buxton","year":"2010","journal-title":"Diabetes"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"113843","DOI":"10.1016\/j.physbeh.2022.113843","article-title":"Reward sensitivity, eating behavior, and obesity-related outcomes: A systematic review","volume":"252","author":"Sutton","year":"2022","journal-title":"Physiol. Behav."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1093\/aje\/kwp104","article-title":"Psychosocial stress and change in weight among US adults","volume":"170","author":"Block","year":"2009","journal-title":"Am. J. Epidemiol."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1037\/a0038278","article-title":"Please respond ASAP: Workplace telepressure and employee recovery","volume":"20","author":"Barber","year":"2015","journal-title":"J. Occup. Health Psychol."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"367","DOI":"10.31887\/DCNS.2006.8.4\/bmcewen","article-title":"Protective and damaging effects of stress mediators: Central role of the brain","volume":"8","author":"McEwen","year":"2006","journal-title":"Dialogues Clin. Neurosci."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1177\/1461444818797082","article-title":"The first-level digital divide shifts from inequalities in physical access to inequalities in material access","volume":"21","year":"2019","journal-title":"New Media Soc."},{"key":"ref_65","first-page":"100941","article-title":"Technostress and employee well-being: A systematic review of empirical evidence","volume":"21","author":"Smith","year":"2026","journal-title":"Comput. Hum. Behav."},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Siegrist, J., and Li, J. (2017). Work Stress and Altered Biomarkers: A Synthesis of Findings Based on the Effort-Reward Imbalance Model. Int. J. Environ. Res. Public Health, 14.","DOI":"10.3390\/ijerph14111373"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"e000143","DOI":"10.1136\/bmjsem-2016-000143","article-title":"Update on the effects of physical activity on insulin sensitivity in humans","volume":"2","author":"Bird","year":"2017","journal-title":"BMJ Open Sport Exerc. Med."},{"key":"ref_68","first-page":"255","article-title":"Stress and eating behaviors","volume":"38","author":"Yau","year":"2013","journal-title":"Minerva Endocrinol."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1145\/1995376.1995403","article-title":"Crossing to the dark side: Examining creators, outcomes, and inhibitors of technostress","volume":"54","author":"Tarafdar","year":"2011","journal-title":"Commun. ACM"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1037\/emo0000403","article-title":"Decreases in psychological well-being among American adolescents after 2012 and links to screen time during the rise of smartphone technology","volume":"18","author":"Twenge","year":"2018","journal-title":"Emotion"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"104601","DOI":"10.1016\/j.actpsy.2024.104601","article-title":"Exploring workplace spirituality, mindfulness, digital technology, and psychological well-being: A complex interplay in organizational contexts","volume":"251","author":"Sode","year":"2024","journal-title":"Acta Psychol."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1097\/EDE.0000000000000666","article-title":"Effort-Reward Imbalance at Work and Incident Coronary Heart Disease: A Multicohort Study of 90,164 Individuals","volume":"28","author":"Dragano","year":"2017","journal-title":"Epidemiology"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"2230","DOI":"10.2337\/dc09-0132","article-title":"Psychosocial stress at work doubles the risk of type 2 diabetes in middle-aged women: Evidence from the Whitehall II study","volume":"32","author":"Heraclides","year":"2009","journal-title":"Diabetes Care"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"3031","DOI":"10.1111\/dom.15630","article-title":"Depression and type 2 diabetes: A causal relationship and mechanistic pathway","volume":"26","author":"Khawagi","year":"2024","journal-title":"Diabetes Obes. Metab."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"640","DOI":"10.1093\/eurheartj\/ehm584","article-title":"Work stress and coronary heart disease: What are the mechanisms?","volume":"29","author":"Chandola","year":"2008","journal-title":"Eur. Heart J."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1038\/nrcardio.2012.45","article-title":"Stress and cardiovascular disease","volume":"9","author":"Steptoe","year":"2012","journal-title":"Nat. Rev. Cardiol."},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Konlan, K.D. (2025). Burnout is a predictor of high ten-year risk of cardiovascular disease among health workers in Ghana. BMC Public Health, 25.","DOI":"10.1186\/s12889-025-23834-6"},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Salvagioni, D.A.J., Melanda, F.N., Mesas, A.E., Gonz\u00e1lez, A.D., Gabani, F.L., and Andrade, S.M. (2017). Physical, psychological and occupational consequences of job burnout: A systematic review of prospective studies. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0185781"},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Ram\u00edrez-Manent, J.I., Altisench Jan\u00e9, B., Arroyo Bote, S., L\u00f3pez Roig, C., Gonz\u00e1lez San Miguel, H., and L\u00f3pez-Gonz\u00e1lez, A.A. (2022). Cardiometabolic profile of 15057 elderly Spanish workers: Association of sociodemographic variables and tobacco consumption. BMC Geriatr., 22.","DOI":"10.1186\/s12877-022-03547-w"},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"117","DOI":"10.2337\/dc23-1156","article-title":"Chronic Insufficient Sleep in Women Impairs Insulin Sensitivity Independent of Adiposity Changes: Results of a Randomized Trial","volume":"47","author":"Zuraikat","year":"2024","journal-title":"Diabetes Care"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1530\/EJE-17-0883","article-title":"METS-IR, a novel score to evaluate insulin sensitivity, is predictive of visceral adiposity and incident type 2 diabetes","volume":"178","author":"Campos","year":"2018","journal-title":"Eur. J. Endocrinol."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"S41","DOI":"10.2337\/dc23-S003","article-title":"3. Prevention or Delay of Type 2 Diabetes and Associated Comorbidities: Standards of Care in Diabetes-2023","volume":"46","author":"ElSayed","year":"2023","journal-title":"Diabetes Care"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"958","DOI":"10.1080\/10803548.2020.1846376","article-title":"When and why telepressure and technostress creators impair employee well-being","volume":"28","author":"Pfaffinger","year":"2022","journal-title":"Int. J. Occup. Saf. Ergon."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"26","DOI":"10.24869\/psyd.2018.26","article-title":"A Novel Framework Based on the Improved Job Demands-Resources (JD-R) Model to Understand the Impact of Job Characteristics on Job Burnout from the View of Emotion Regulation Theory","volume":"30","author":"Yang","year":"2018","journal-title":"Psychiatr. Danub."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"e26","DOI":"10.1177\/2047487320940862","article-title":"Insomnia is associated with metabolic syndrome in a middle-aged population: The SCAPIS pilot cohort","volume":"28","author":"Zou","year":"2021","journal-title":"Eur. J. Prev. Cardiol."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"e12243","DOI":"10.1002\/1348-9585.12243","article-title":"Physical relaxation for occupational stress in healthcare workers: A systematic review and network meta-analysis of randomized controlled trials","volume":"63","author":"Zhang","year":"2021","journal-title":"J. Occup. Health"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.neubiorev.2016.07.003","article-title":"Depression and cardiovascular disease: Epidemiological evidence on their linking mechanisms","volume":"74","author":"Penninx","year":"2017","journal-title":"Neurosci. Biobehav. Rev."}],"container-title":["Medical Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2076-3271\/14\/5\/545\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T04:22:07Z","timestamp":1789014127000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2076-3271\/14\/5\/545"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,3]]},"references-count":87,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2026,9]]}},"alternative-id":["medsci14050545"],"URL":"https:\/\/doi.org\/10.3390\/medsci14050545","relation":{},"ISSN":["2076-3271"],"issn-type":[{"value":"2076-3271","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,3]]}}}