Concordance between the Work Capability Index and the Years of Surviving Disability Estimated using the PoRT-9LSQ methodology
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Keywords

Quality indicator, Work ability index, Risk factors, Healthy lifestyles, Years Lived With Disability

How to Cite

1.
Soriano Tarin G, Francisco-García JC, Alonso-Bosque JM, Valle-Robles M, Bernabeu-Atanasio A. Concordance between the Work Capability Index and the Years of Surviving Disability Estimated using the PoRT-9LSQ methodology. Arch Prev Riesgos Labor [Internet]. 2023 Aug. 4 [cited 2024 Sep. 1];26(4):259-74. Available from: https://archivosdeprevencion.eu/index.php/aprl/article/view/281

Abstract

Objective: To analyze the association between lifestyles and health risk factors that can lead to prematurely leaving work, with the expected Years Lived with Disability (AYLD) in a working population, and to calculate the correlation between the Work Ability Index (WAI) and the Work Ability Score (WAS), and then both of these with the AYLD and its economic cost.

Methods:  A cross-sectional study in a sample of workers who underwent a health examination. The information was collected using the ICL and WAS questionnaires, applying the PoRT-9LSQ methodology. Linear regression and analysis of variance (ANOVA) were used to analyze the association between the risk factors and AYLD. The correlation between WAI and WAS was analyzed using the intraclass correlation coefficient (ICC), and then between each of these the AYLD and its economic cost using adjusted linear regression. 

Results: A total of 590 workers were included. Factors that most influenced the average AYLD were a sedentary lifestyle, poor diet, and overweight/obesity, with statistically significant differences according to sex, shift, and occupation (p<0.05). An ICC of 93.0%  was found between ICL and WAS, a good/excellent rating. The adjusted linear regression between ICL and ADSE was 7.982-0.136xICL (p<0.05), and was similar for WAS. 

Conclusions: The WAI is useful for predicting AYLD in the working population. This can facilitate decisionmaking by health personnel to identify vulnerable people, encouraging changes in lifestyle and self-care.

https://doi.org/10.12961/aprl.2023.26.04.02
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References

Vos T, Lim SS, Abbafati C, Abbas KM, Abbasi M, Abbasifard M et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396: 1204–22.

Soriano JB, Rojas-Rueda D, Alonso J, Antó JM, Cardona PJ, Fernández E et al. La carga de enfermedad en España: resultados del Estudio de la Carga Global de las Enfermedades 2016. Med Clin (Barc). 2018:151(Supl): 171-90.

Ilmarinen J. Promoción del envejecimiento activo en el trabajo. Bilbao.European Agency for Safety and Health at Work. [actualizado 5 Mar 2012, citado 12 May 2022]. Disponible en: https://osha.europa.eu/es/publications/promoting-active-ageing-workplace

Brotons C, Lobos JM, Royo-Bordonada MA, Maiques A, De Santiago A, Castellanos A, et al. Implementation of Spanish adaptation of the European guidelines on cardiovascular disease prevention in primary care. BCM Fam Pract. 2013;14:36.

Haro JM, Tyrovolas S, Garin N, Diaz-Torne JC, Carmona L, Sanchez-Riera L, et al. The burden of disease in Spain: results from the global burden of disease study 2010. BCM Med. 2014 Dec 5;12:236.

Ogunmoroti O, Oni E, Michos ED, Spatz ES, Allen NB, Rana JS, et al. Life´s Simple 7 and Incident Heart Failure: The Multi-Ethnic Study of Atherosclerosis. J Am Heart Assoc. 2017 Jun 27; 6(6):e005180.

Berger N, Van der Heyden J, Van Oyen H. The global activity limitation indicator and self-rated health: two complementary predictors of mortality. Arch Public Health 2015 May 11;73(1):25.

DeSalvo KB, Bloser N, Reynolds K, He J, Mintner P. Mortality Prediction with a Single General Self-Rated Health Question. A Meta-Analysis. J Gen Inter Med 2005; 20:267-75.

Torres R, Martínez M, López WS, Pérez JM, Torres, D, Ramírez O. Concordancia entre el índice de salud cardiovascular ideal y el índice Fuster-BEWAT. CorSalud 2020; 12(3):312-31.

Fernández-Alvira JM, Fuster V, Pocok S, Sanz J, Fernández-Friera, Laclaustra M, et al. Predicting Subclinical Atherosclerosis in Low-Risk Individuals: Ideal Cardiovascular Health Score and Fuster-BEWAT Score. J Am Coll Cardiol. 2017 Nov 14;70(20):2463-73.

Fang N, Jiang M, Fan Y. Ideal cardiovascular health metrics and risk of cardiovascular disease or mortality: a meta-analysis. Int J Cardiol. 2016;214:279-83.

Douglas GM, Perez R, Sanmartin C, Taljaard M, Hennessy D, Wilson K, et al. Measuring burden of unhealthy behaviours using a multivariable predictive approach: life expectancy lost in Canada attributable to smoking, alcohol, physical inactivity am diet. PLoS Med 2016: 13(8):e1002082.

Lloyd-Jones DM, Hong Y, Labarthe D, Mozaffarian D, Appel LJ, Van Horn L, et al. Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association´s strategic Impact Goal through 2020 and beyond. Circulation. 2010; 121(4): 586-613.

Amor AJ, Masana L, Soriguer F, Godaye A, Calle-Pascual A, Gaztambide S, et al. Estimación del riesgo cardiovascular en España según la guía europea sobre prevención de la enfermedad cardiovascular en la práctica clínica. Rev Esp Cardiol. 2015; 68(5):417-25.

Loef M, Walach H.Preventine Medicine .The combined effects of healthy lifestyle behaviors on all cause mortality: A systematic review and meta-analysis. Prev Med. 2012; 55(3):163-70.

Yanping Li Y, Pan A, Dong DD, Liu X, Dong DW, Xiaoran L, et al. Impact of healthy lifestyle factors on life expectancies in the US Population. Circulation 2018; 138(4):345-55.

Solé MD, Doval E. Nota Técnica de Prevención 1.147. Work Ability Index: versión española. Madrid: Instituto Nacional de Seguridad y Salud en el Trabajo. 2020[citado 30 septiembre 2022]. Disponible en: https://www.insst.es/el-insituto-al-dia/ntp-1147-work-ability-index-versi%C3%B3n-espa%C3%B1ola.

Jääskeläinen A, Kausto J, Seitsamo J, Ojajärvi, Nygard CH, Arjas E, et al. Work ability index and perceived work ability as predictors of disability pension: a prospective study among Finnish municipal employees. Scand J work Environ Health 2016;42(6):490-9.

Mokarami H, Mortazavi SB, Asgari A, Choobineh A. Work Ability Score (WAS) as a Suitable Instrument to Assess Work Ability Among Iranian Workers. Health Scope. Impress 2016:e42014.

Soriano-Tarín G, Francisco-Garcia JC, Alonso-Bosque JM, Villaplana-García M, Bernabeu-Atabasio A. Evaluación de la discapacidad sobrevenida estimada y los costes de la no promoción de la salud en una población laboral: metodología PoRT-9LSQ. Rev Asoc Esp Espec Med Trab. 2022;31 (3): 260-74

Villagut G, Ferrer M, Rajmil L, Rebollo P, Permanyer-Miralda G, Quintana JM, et al. El cuestionario de salud SF-36 español: una década de experiencia y nuevos desarrollos. Gac Sanit 2005; 19(2):135-50

Estruch R, Ros E, Salas-Salvadó J, Covas MI, Corella D, Arós F, et al. Primary prevention of cardiovascular disease with a mediterranean diet. N Engl J Med 2013; 368:1279-1290.

Orozco-Beltrán D, Brotons C, Alemán JJ, Banegas JR, Cebrián-Cuenca AM, Gil VF, et al. Recomendaciones preventivas cardiovasculares. Actualización PAPPS 2020. Aten Primaria. 2020;52(Supl 2):5-31

Instituto Nacional de Estadística. INEbase [citado 4 marzo 2023]. Disponible en: https://www.ine.es/index.htm

American Academy of Family Physicians Politicy Action. Summary of recommendations for Clinical Preventive Services. [actualizado Jul 2017, citado 30 septiembre 2022]. Disponible en: http://www.aafp.org/dam/AAFP/documents/patient_care/clinical_recomendations/cps-recomendations.pdf

U.S. Preventive Services Task force. The Guide to Clinical Preventive Services 2014: Recomendations of the U.S. Preventive Services Task Force. Rockville (MD): Agency for Healthcare Research and Quality (US), 2014 May. Report No.: 1405158. [citado 30 septiembre 2022]. Disponible en: http://www.ahrq.gov/professionals/clinicians-providers/guidelines-recommendatiosn/guide/index.html.

Instituto Nacional de Estadística. Encuesta Europea de Salud en España 2020. [citado 5 mayo 2022]. Disponible en https://www.sanidad.gob.es/estadEstudios/estadisticas/EncuestaEuropea/EncuestaEuropea2020/EESE2020_inf_evol_princip_result.pdf.

Menéndez E, Delgado E, Fernández-Vega F, Prieto MA, Bordiú E, Calle A, et al. Prevalence, diagnosis treatment, and control of hypertension in Spain. Results of the Di@bet.es Study. Rev Esp Cardiol (Engl Ed). 2016;69(6):572-8.

Banegas JR, Graciani A, Guallar-Castillón P, Gutiérrez-Hisac J, León-Muñoz JL, López-García E, et al. Estudio de Nutrición y riesgo Cardiovascular en España (ENRICA). Madrid: Departamento de Medicina Preventiva y Salud Pública, Universidad Autónoma de Madrid;2011. [citado 20 mayo 2022]. Disponible en: https://www.munideporte.com/imagenes/documentacion/ficheros/20110719100301estudio%20enrica.pdf

Sánchez Chaparro MA, Calvo Bonacho E, González Quintela A, Cabrera M, Sáinz JC, Fernández Labander C, Quevedo-Aguado L, et al. High cardiovascular risk in Spanish workers. Nutr Metab Cardiovasc Dis. 2011;21:231-6.

US Department of Health and Human Service. Physical Activity and Health: A Report of the Surgeon General. Atlanta, GA: US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion;1996.

Fletcher GF, Balady G, Blair SN, Blumenthal J, Caspersen C, Chaitman B, et al. Statement on exercise: benefits and recommendations for physical activity programs for all Americans. American Heart Association. Circulation. 1996;94(4):857-62.

International Agency for Research Cancer. Globocan 2018. [citado 5 abril 2022]. Disponible en http://gco.iarc/fr/.

Sanchez MA, Calvo E, González A, González P, Román J. On behalf of the ICARIA (Ibermutuamur Cardiovascular RIsk Asessment) Study Group. High cardiovascular risk in Spanish workers. Nutr Metab Cardiovasc 2011;21(4): 232-6.

Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Blaha MJ, et al. American Heart Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics-2014 update: a report from American Heart Association. Circulation. 2014;129(3):e28-e292.

Howard JT, Potter LlB. An assessment of the relationships between overweight, obesity, related chronic health conditions and worker absenteeism. Obes Res Clin Pract 2014; 8(1):e1-15.

Estruch R, Ros E, Salas-Salvado J, Covas MI, Corella D, Arós F, et al. Primary prevention of cardiovascular disease with a Mediterranean diet. N Engl J Med 2013; 368:1279-90.

Fadnes LT, Okland JM, Haaland OA. Estimating impact of food choices on life expectancy: A modeling study. PloS Med 2021. 19(2): e1003889.

Mhurchu CN, Aston LM, Jebb SA. Effects of worksite health promotion interventions on employee diets: a systematic review. BMC Public Health. 2010;10:62.

Tuomi K, Huuhtanen P, Nykyri E, Ilmarinen J. Promotion of work ability, the quality of work and rentirement. Occupar Med (Lond). 2001;51(5):318-24.

Eskelinen L, Kohvakka A, Merisalo T, Hurri H, Wägar G. Relationship between the self-assessment and clinical assessment of health status and work ability. Scand J Work Environ Health. 1991;17 Suppl 1:40–7.

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Copyright (c) 2023 Guillermo Soriano Tarin, Juan C. Francisco-García, José M. Alonso-Bosque, Marisa Valle-Robles, Alba Bernabeu-Atanasio

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