Cardiovascular disease prevention at the workplace: assessing the prognostic value of lifestyle risk factors and job-related conditions

Veronesi, Giovanni; Borchini, Rossana; Landsbergis, Paul; Iacoviello, Licia; Gianfagna, Francesco; Tayoun, Patrick; Cesana, Giancarlo

doi:10.1007/s00038-018-1118-2

Cited by 18 publications

(21 citation statements)

References 40 publications

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“… 6–13 Analysis of Italian cohorts suggested that the addition of four risk factors (alcohol, occupational physical activity, sport physical activity, and job strain) improved prediction performance; however, this has not been externally validated. 14 Altogether, our findings are consistent with the literature and extend this by demonstrating (potentially for the first time) the value of adding multiple behavioural and psychosocial variables in external data. Future research could derive new algorithms with similar risk factors, or alternatively evaluate the validity of our HAPIEE SCORE in other Eastern- or Western-European settings.…”

Section: Discussionsupporting

confidence: 91%

Development and validation of two SCORE-based cardiovascular risk prediction models for Eastern Europe: a multicohort study

Tillmann

Läll

Dukes

et al. 2020

European Heart Journal

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Aims Cardiovascular disease (CVD) risk prediction models are used in Western European countries, but less so in Eastern European countries where rates of CVD can be two to four times higher. We recalibrated the SCORE prediction model for three Eastern European countries and evaluated the impact of adding seven behavioural and psychosocial risk factors to the model. Methods and results We developed and validated models using data from the prospective HAPIEE cohort study with 14 598 participants from Russia, Poland, and the Czech Republic (derivation cohort, median follow-up 7.2 years, 338 fatal CVD cases) and Estonian Biobank data with 4632 participants (validation cohort, median follow-up 8.3 years, 91 fatal CVD cases). The first model (recalibrated SCORE) used the same risk factors as in the SCORE model. The second model (HAPIEE SCORE) added education, employment, marital status, depression, body mass index, physical inactivity, and antihypertensive use. Discrimination of the original SCORE model (C-statistic 0.78 in the derivation and 0.83 in the validation cohorts) was improved in recalibrated SCORE (0.82 and 0.85) and HAPIEE SCORE (0.84 and 0.87) models. After dichotomizing risk at the clinically meaningful threshold of 5%, and when comparing the final HAPIEE SCORE model against the original SCORE model, the net reclassification improvement was 0.07 [95% confidence interval (CI) 0.02–0.11] in the derivation cohort and 0.14 (95% CI 0.04–0.25) in the validation cohort. Conclusion Our recalibrated SCORE may be more appropriate than the conventional SCORE for some Eastern European populations. The addition of seven quick, non-invasive, and cheap predictors further improved prediction accuracy.

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Section: Discussionsupporting

confidence: 91%

Development and validation of two SCORE-based cardiovascular risk prediction models for Eastern Europe: a multicohort study

Tillmann

Läll

Dukes

et al. 2020

European Heart Journal

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“…Obesity is a major risk factor for many diseases that markedly reduce the quality of life, such as type 2 diabetes, dyslipidemia, hypertension, arteriosclerosis, cardiovascular and cerebrovascular diseases, and sleep-disordered breathing [1]. These diseases are highly prevalent in middle-aged adults, who comprise the majority of the working population [3,4]. Therefore, prevention of obesity is also important from a socioeconomic perspective.…”

Section: Introductionmentioning

confidence: 99%

Effect of Periodontitis and Toothbrushing Frequency on Obesity Onset: A Cohort Study

Morita¹,

Yamazaki²,

Seto

et al. 2019

Med Sci Monit

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Background: The interplay between obesity and periodontitis has been widely examined. While obesity was reported as a risk factor for periodontitis, the inverse relationship is still little explored. Therefore, we aimed to determine whether periodontitis and toothbrushing frequency affect the onset of obesity. Material/Methods: This cohort study included 1619 employees of a business enterprise headquartered in Tokyo, who in 2002 and 2006 underwent in prescribed annual health checks, both general and dental-specific, and who were not obese in 2002 (body mass index <25). The response variable was obesity (or absence) at 4 years, while the explanatory variables were presence/absence of periodontal pockets and toothbrushing frequency in 2002; their relationships were examined by multiple logistic regression analysis. Results: Subjects with periodontal pockets ³4 mm showed a significantly higher odds ratio (OR) for onset of obesity at 4 years than those without periodontal pockets [OR: 1.59, 95% CI (confidence interval): 1.08-2.35, p<0.05]. Similarly, subjects who brushed their teeth ³3 times/day had a significantly lower obesity OR than those who brushed £1 time/day (OR: 0.49, 95% CI: 0.28-0.85, p<0.01). Conclusions: The presence of periodontal pockets and toothbrushing frequency are significantly associated with the onset of obesity. Periodontal pockets ³4 mm are associated with increased risk of obesity, while frequent toothbrushing (³3 times/day) appears to reduce the risk of obesity.

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“…The present study is significant for its use of national data and cohort analysis to identify 10-year trends in the medical examination and questionnaire data of domestic male workers. To our knowledge, there have been previous reports for cardiovascular epidemiology of populations of workers in Europe [33][34][35] and the USA. 36 Nevertheless, this study differs in that it followed up the risk factors over 10 years for the same population and analysed the effects of continued health behaviours on the CVD risk factors of workers.…”

Section: Discussionmentioning

confidence: 98%

Patterns of change in cardiovascular risks of Korean male workers: a 10-year cohort analysis using the National Health Insurance Service–National Sample Cohort (NHIS-NSC) 2.0 database

2020

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ObjectiveHealth behaviour is one of the major determinants of cardiovascular diseases in working population. This study was tried to investigate the trend of cardiovascular health level, the relationship between continuous health behaviours, and changes in the risk of cardiovascular diseases of male workers by using a nationwide database.DesignThis study is a retrospective cohort study.Setting and participantsThe study analysed data of 57 837 male workers whose personal health examination data were continuously traced using Korea’s National Health Insurance Service–National Sample Cohort 2.0 database.Primary outcome measuresA 10-year trend for all cardiovascular risks and change for the risks according to the consistent performance of healthy behaviours.ResultsThe results showed that the risk of being overweight (adjusted OR (aOR) 1.63, 95% CI 1.59 to 1.68) and obese (aOR 1.51, 95% CI 1.47 to 1.56) increased. The index of cardiovascular risk also increased for high fasting glucose (aOR 1.77, 95% CI 1.62 to 1.95) and high total cholesterol (aOR 1.68, 95% CI 1.60 to 1.76), respectively. The risks of high fasting glucose (aOR 2.09, 95% CI 1.40 to 3.13), high triglycerides (aOR 1.27, 95% CI 1.14 to 1.42) and high low-density lipoprotein cholesterol (aOR 1.38, 95% CI 1.14 to 1.66) were increased among high-risk smokers. Similarly, the risk of high total cholesterol (aOR 2.20, 95% CI 1.35 to 3.58) and high triglycerides (aOR 1.42, 95% CI 1.09 to 1.85) were increased among high-risk drinkers. In addition, the increase in the risk of being overweight (aOR 2.20, 95% CI 1.83 to 2.65) and obese (aOR 1.90, 95% CI 1.59 to 2.27) were analysed among who had not consistently exercised.ConclusionsSince the pattern of change in the level of cardiovascular risk related to the continuous health behaviours of male workers was identified, the findings of the present study can be used as basic data to develop health promotion policies for the population.

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Cardiovascular disease prevention at the workplace: assessing the prognostic value of lifestyle risk factors and job-related conditions

Cited by 18 publications

References 40 publications

Development and validation of two SCORE-based cardiovascular risk prediction models for Eastern Europe: a multicohort study

Development and validation of two SCORE-based cardiovascular risk prediction models for Eastern Europe: a multicohort study

Effect of Periodontitis and Toothbrushing Frequency on Obesity Onset: A Cohort Study

Patterns of change in cardiovascular risks of Korean male workers: a 10-year cohort analysis using the National Health Insurance Service–National Sample Cohort (NHIS-NSC) 2.0 database

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