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      Hiperuricemia y menor actividad física en trabajadores a turnos: estudio transversal en una industria química española Translated title: Hyperuricemia in shift workers: a cross-sectional study in a spanish chemical factory

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          RESUMEN

          Fundamentos:

          Las conclusiones de las investigaciones sobre turnicidad y factores de riesgo cardiovascular, como los que forman parte del síndrome metabólico (SMet), no son unánimes. Las distintas definiciones del SMet y el trabajo por turnos las dificultan. Nuestro objetivo fue conocer la asociación entre el trabajo por turnos y los hábitos de vida y la salud cardiovascular de los trabajadores de una industria química.

          Métodos:

          Se realizó un estudio transversal analítico entre 2018 y 2019. Los datos se obtuvieron de los exámenes de salud anuales. Se seleccionaron 515 trabajadores, estableciendo una relación de 1:3 (por turnos / sin turnos). Se recogieron como variables resultado: SMet, hipertensión arterial, obesidad, adiposidad abdominal y alteraciones bioquímicas (glucosa, colesterol total, colesterol HDL, triglicéridos y ácido úrico). Las variables explicativas fueron: edad, sexo, consumo de tabaco, actividad física y turnicidad. Aparte de los descriptivos habituales, se realizó una regresión logística bivariada cruda y otra ajustada, determinando valores de Odds Ratio (OR) con IC al 95%.

          Resultados:

          La regresión logística cruda mostró que los trabajadores por turnos realizaban menor actividad física (OR=0,22; IC 95%=0,14-0,35; p<0,001) y tenían niveles de colesterol HDL más bajos (OR=2,1; IC 95%=1,2-3,8; p<0,05), así como mayor tasa de hipertrigliceridemia (OR=2,05; IC 95%=1,3-3,2; p<0,01) e hiperuricemia (OR=2,7; IC 95%=0,9-2,7; p<0,001). En la regresión logística ajustada por edad, sexo, consumo de tabaco, actividad física y turnicidad, sólo se mantuvo la asociación entre trabajo por turnos e hiperuricemia (OR=2,25; IC 95%=1,1-4,6; p<0,05), así como con menor actividad física moderada/alta (OR=0,19; IC 95%=0,12-0,31; p<0,001).

          Conclusiones:

          No se encuentra asociación entre turnicidad y un mayor nivel de tabaquismo o un mayor riesgo cardiovascular. Sí se evidencia asociación con niveles de ácido úrico altos y menor actividad física moderada/alta.

          ABSTRACT

          Background:

          There is no clear consensus over the findings of research into shift work and cardiovascular risk factors, such as those present in the metabolic syndrome (MetS). This is further confounded by the varying definitions of MetS and shift work. Our objective was to learn about the link between shift work, lifestyles and cardiovascular health in chemical factory workers.

          Methods:

          Cross-sectional analytical study, carried out 2018-2019; data obtained from annual occupational health check-ups. 515 workers chosen, with a 1:3 ratio (shifts/no shifts). Variables collected: MetS, arterial hypertension, obesity, abdominal adiposity and biochemical alterations (glucose, total cholesterol, HDL cholesterol, triglycerides and uric acid). Explanatory variables: age, gender, tobacco consumption, physical activity and shift work. Besides the usual descriptions, both non-adjusted and adjusted bivariate logistic regression were performed, producing Odds Ratio (OR) values with 95% CI.

          Results:

          The non-adjusted logistic regression showed that shift workers performed less physical activity (OR=0.22; 95% CI=0.14-0.35; p<0.001) and had lower HDL cholesterol levels (OR=2.1; 95% CI=1.2-3.8; p<0.05), plus a higher rate of hypertriglyceridemia (OR=2.05; 95% CI=1.3-3.2; p<0.01) and hyperuricemia (OR=2.7; 95% CI=0.9-2.7; p<0.001). In the logistic regression adjusted for age, gender, tobacco consumption, physical activity and shift work only the prevalence of hyperuricemia was higher in shift workers (OR=2.25; 95% CI=1.1-4.6; p<0.05), as well as with less moderate/high physical activity (OR=0.19; 95% CI=0.12-0.31; p<0.001).

          Conclusions:

          While no link was found between shift work and increased smoking or a higher cardiovascular risk, there was evidence of an association with high uric acid levels and less moderate/high physical activity.

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          Most cited references63

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          2018 ESC/ESH Guidelines for the management of arterial hypertension

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            Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach

            The associations between time spent in sleep, sedentary behaviors (SB) and physical activity with health are usually studied without taking into account that time is finite during the day, so time spent in each of these behaviors are codependent. Therefore, little is known about the combined effect of time spent in sleep, SB and physical activity, that together constitute a composite whole, on obesity and cardio-metabolic health markers. Cross-sectional analysis of NHANES 2005–6 cycle on N = 1937 adults, was undertaken using a compositional analysis paradigm, which accounts for this intrinsic codependence. Time spent in SB, light intensity (LIPA) and moderate to vigorous activity (MVPA) was determined from accelerometry and combined with self-reported sleep time to obtain the 24 hour time budget composition. The distribution of time spent in sleep, SB, LIPA and MVPA is significantly associated with BMI, waist circumference, triglycerides, plasma glucose, plasma insulin (all p<0.001), and systolic (p<0.001) and diastolic blood pressure (p<0.003), but not HDL or LDL. Within the composition, the strongest positive effect is found for the proportion of time spent in MVPA. Strikingly, the effects of MVPA replacing another behavior and of MVPA being displaced by another behavior are asymmetric. For example, re-allocating 10 minutes of SB to MVPA was associated with a lower waist circumference by 0.001% but if 10 minutes of MVPA is displaced by SB this was associated with a 0.84% higher waist circumference. The proportion of time spent in LIPA and SB were detrimentally associated with obesity and cardiovascular disease markers, but the association with SB was stronger. For diabetes risk markers, replacing SB with LIPA was associated with more favorable outcomes. Time spent in MVPA is an important target for intervention and preventing transfer of time from LIPA to SB might lessen the negative effects of physical inactivity.
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              Shift work and the risk of cardiovascular disease. A systematic review and meta-analysis including dose–response relationship

              Objectives The aim of this review was to assess the risk of cardiovascular disease (CVD) events associated with shift work and determine if there is a dose-response relationship in this association. Method Electronic databases (PubMed, Scopus, and Web of Science) were searched for cohort or case-control control study designs in any population, reporting exposure to shift work as the main contributing factor to estimate CVD risk. For each study, adjusted relative risk (RR) ratios and 95% confidence intervals (CI) were extracted, and used to calculate the pooled RR using random-effect models. Meta-regression analysis was conducted to explore potential heterogeneity sources. Potential non-linear dose-response relationships were examined using fractional polynomial models. Results We included 21 studies with a total of 173 010 unique participants. The majority of the studies were ranked low-to-moderate risk of bias. The risk of any CVD event was 17% higher among shift workers than day workers. The risk of coronary heart disease (CHD) morbidity was 26% higher (1.26, 95% CI 1.10-1.43, I 2= 48.0%). Sub-group analysis showed an almost 20% higher risk of CVD and CHD mortality among shift workers than those who did not work shifts (1.22, 95% CI 1.09-1.37, I 2= 0% and 1.18, 95% CI 1.06-1.32 I 2=0%; respectively). After the first five years of shift work, there was a 7.1% increase in risk of CVD events for every additional five years of exposure (95% CI 1.05-1.10). Heterogeneity of the pooled effect size (ES) estimates was high (I 2=67%), and meta-regression analysis showed that sample size explained 7.7% of this. Conclusions The association between shift work and CVD risk is non-linear and seems to appear only after the first five years of exposure. As shift work remains crucial for meeting production and service demands across many industries, policies and initiatives are needed to reduce shift workers' CVD risk.
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                Author and article information

                Journal
                Rev Esp Salud Publica
                Rev Esp Salud Publica
                resp
                Revista Española de Salud Pública
                Ministerio de Sanidad, Consumo y Bienestar social
                1135-5727
                2173-9110
                02 November 2020
                2020
                : 94
                : 202004028
                Affiliations
                [1 ] originalIndorama Ventures Química. San Roque. Cádiz. España. orgnameIndorama Ventures Química San Roque, Cádiz, España
                [2 ] originalFacultad de Enfermería, Fisioterapia y Podología. Universidad de Sevilla. Sevilla. España. orgnameUniversidad de Sevilla orgdiv1Facultad de Enfermería, Fisioterapia y Podología Sevilla, España
                [3 ] originalFacultad de Medicina y Enfermería. Universidad de Córdoba. Córdoba. España. orgnameUniversidad de Córdoba orgdiv1Facultad de Medicina y Enfermería Córdoba, España
                [4 ] originalAyuntamiento de Córdoba. Córdoba. España. orgnameAyuntamiento de Córdoba Córdoba, España
                [5 ] originalFacultad de Medicina. Universidad de Cádiz. Cádiz. España. orgnameUniversidad de Cádiz orgdiv1Facultad de Medicina Cádiz, España
                Author notes
                Correspondencia: Manuel Romero Saldaña. C/ Ingeniero Agrónomo Pizarro, 3, 17411 Encinarejo, Córdoba, España. romero@ 123456enfermeriadeltrabajo.com

                Los autores declaran que no existe ningún conflicto de interés.

                Article
                e202004028
                11567073
                26b74c72-f577-42d8-9fb9-1ac31833d51c

                Este es un artículo publicado en acceso abierto bajo una licencia Creative Commons

                History
                : 15 November 2019
                : 26 March 2020
                : 28 April 2020
                Page count
                Figures: 1, Tables: 5, Equations: 0, References: 52
                Categories
                Originales

                horario de trabajo por turnos,síndrome metabólico,ácido úrico,industria química,shift work schedule,metabolic syndrome,uric acid,chemical factory

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