High cardiovascular risk in Spanish workers

Chaparro, Miguel Ángel Sánchez; Calvo-Bonacho, Eva; Gonzalez-Quintela, Arturo; Cabrera, Martha; Sainz, Juan-Carlos; Fernández-Labander, C.; Quevedo-Aguado, L.; Gelpi, José Antonio; Meseguer, Ana; Brotons, Carlos; Teresa, Eduardo de; Santos, Pedro González; García, J. Román

doi:10.1016/j.numecd.2009.10.001

Cited by 17 publications

(11 citation statements)

References 32 publications

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“…In the 1950s, employment that required hard physical work had positive influences on mortality [ 6 ]. However, in the present day, work-related physical activity is not related to body mass index and obesity [ 7 ], and “white collar” workers seem to have less cardiovascular diseases compared to “blue collar” workers [ 8 ]. Additionally, middle-aged production workers in Korea have poorer overall physical condition than middle-aged office workers [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Aerobic Capacity, Physical Activity and Metabolic Risk Factors in Firefighters Compared with Police Officers and Sedentary Clerks

et al. 2015

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BackgroundThis study examined the association between the physical work environment and physiological performance measures, physical activity levels and metabolic parameters among German civil servants. A main focus in this study was to examine the group differences rather than measuring the absolute values in an occupational group.MethodsWe prospectively examined 198 male German civil servants (97 firefighters [FFs], 55 police officers [POs] and 46 sedentary clerks [SCs]). For each parameter, the groups were compared using a linear regression adjusted for age.ResultsThe 97 FFs showed a similar maximal aerobic power (VO2max l/min) of 3.17±0.44 l/min compared with the POs, who had a maximal aerobic power of 3.13±0.62 l/min (estimated difference, POs vs. FFs: 0.05, CI: -0.12-0.23, p=0.553). The maximal aerobic power of the FFs was slightly higher than that of the SCs, who had a maximal aerobic power of 2.85±0.52 l/min (-0.21, CI: -0.39-0.04, p=0.018 vs. FFs). The average physical activity (in metabolic equivalents [METS]/week) of the FFs was 3818.8±2843.5, whereas those of the POs and SCs were 2838.2±2871.9 (-808.2, CI: 1757.6-141.2, p=0.095) and 2212.2±2292.8 (vs. FFs: -1417.1, CI: -2302-531.88, p=0.002; vs. POs: -2974.4, CI: -1611.2-393.5, p=0.232), respectively. For the FFs, the average body fat percentage was 17.7%±6.2, whereas it was 21.4%±5.6 for the POs (vs. FFs: 2.75, CI: 0.92-4.59, p=0.004) and 20.8%±6.5 for the SCs (vs. FFs: 1.98, CI: -0.28-4.25, p=0.086; vs. POs: -0.77, CI: 3.15-1.61, p=0.523). The average waist circumference was 89.8 cm±10.0 for the FFs, 97.8 cm±12.4 (5.63, CI: 2.10-9.15, p=0.002) for the POs, and 97.3±11.7 (vs. FFs: -4.89, CI: 1.24-8.55, p=0.009; vs. POs: -0.73, CI: -5.21-3.74, p=0.747) for the SCs.ConclusionsThe FFs showed significantly higher physical activity levels compared with the SCs. The PO group had the highest cardiovascular risk of all of the groups because it included more participants with metabolic syndrome; furthermore, the POs had an average of 2.75% higher body fat, lower HDL cholesterol values and higher waist circumferences compared with the FFs and higher LDL cholesterol values compared with the SCs. Our data indicate that sedentary occupations appear to be linked to obesity and metabolic syndrome in middle-aged men.

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Section: Introductionmentioning

confidence: 99%

Aerobic Capacity, Physical Activity and Metabolic Risk Factors in Firefighters Compared with Police Officers and Sedentary Clerks

et al. 2015

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“…Briefly, the ICARIA project included workers whose companies have healthcare coverage with Ibermutuamur, a single nationwide Spanish workers’ compensation insurance company that covers 8 % of the Spanish working population and includes workers from all activity sectors and all geographical areas of Spain [ 12 ]. To be included in these analyses, participants had to have undergone a routine medical examination with Ibermutuamur Prevention Society between May 2004 and December 2007, and they had to have information available regarding all variables included in the definition of “metabolically healthy” (see later).…”

Section: Methodsmentioning

confidence: 99%

Prevalence and clinical characteristics of metabolically healthy obese individuals and other obese/non-obese metabolic phenotypes in a working population: results from the Icaria study

Goday

Calvo²,

Vázquez

et al. 2016

BMC Public Health

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BackgroundMetabolically healthy obese (MHO) phenotype may present with distinct characteristics compared with those with a metabolically unhealthy obese phenotype. Epidemiologic data on the distribution of these conditions in the working population are lacking. We aimed to evaluate the prevalence and clinical characteristics of MHO and other obese/non-obese metabolic phenotypes in a working population.MethodsCross-sectional analysis of all subjects who had undergone a medical examination with Ibermutuamur Prevention Society from May 2004 to December 2007. Participants were classified into 5 categories according to their body mass index (BMI); within each of these categories, participants were further classified as metabolically healthy (MH) or metabolically unhealthy (MUH) according to the modified NCEP-ATPIII criteria. A logistic regression analysis was performed to evaluate some clinically relevant factors associated with a MH status.ResultsIn the overall population, the prevalence of the MHO phenotype was 8.6 %. The proportions of MH individuals in the overweight and obese categories were: 87.1 % (overweight) and 55.5 % (obese I-III [58.8, 40.0, and 38.7 % of the obese I, II, and III categories, respectively]). When the overweight and obese categories were considered, compared with individuals who were MUH, those who were MH tended to be younger and more likely to be female or participate in physical exercise; they were also less likely to smoke, or to be a heavy drinker. In the underweight and normal weight categories, compared with individuals who were MH, those who were MUH were more likely to be older, male, manual (blue collar) workers, smokers and heavy drinkers. Among participants in the MUH, normal weight group, the proportion of individuals with a sedentary lifestyle was higher relative to those in the MH, normal weight group. The factors more strongly associated with the MUH phenotype were BMI and age, followed by the presence of hypercholesterolemia, male sex, being a smoker, being a heavy drinker, and lack of physical exercise.ConclusionsThe prevalence of individuals with a MHO phenotype in the working population is high. This population may constitute an appropriate target group in whom to implement lifestyle modification initiatives to reduce the likelihood of transition to a MUH phenotype.

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“…[5,6] In the working environment, there are often differences in both physiological measures of fitness, muscle strength, and cardiovascular and metabolic risk factors that contribute to overall health and mortality risk. [7–10] However, a common trait across blue- and white-collar workers in Denmark is that pain is experienced regardless of job occupation, age, and gender. [11] It is well known that occupationally derived musculoskeletal pain is often present in job tasks involving low-force, static, or quasi-static repetitive and monotonous movements (such as the work of laboratory technicians), [12] but a single factor model of structure and biomechanics cannot sufficiently explain why some people who experience pain develop severe chronicity whereas others do not.…”

Section: Introductionmentioning

confidence: 99%

Ten weeks of physical-cognitive-mindfulness training reduces fear-avoidance beliefs about work-related activity

et al. 2016

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High cardiovascular risk in Spanish workers

Cited by 17 publications

References 32 publications

Aerobic Capacity, Physical Activity and Metabolic Risk Factors in Firefighters Compared with Police Officers and Sedentary Clerks

Aerobic Capacity, Physical Activity and Metabolic Risk Factors in Firefighters Compared with Police Officers and Sedentary Clerks

Prevalence and clinical characteristics of metabolically healthy obese individuals and other obese/non-obese metabolic phenotypes in a working population: results from the Icaria study

Ten weeks of physical-cognitive-mindfulness training reduces fear-avoidance beliefs about work-related activity

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