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Article

Prospective Evaluation of Cardiovascular, Cardiorespiratory, and Metabolic Risk of German Office Workers in Comparison to International Data

by
Markus Strauss
1,2,*,
Peter Foshag
1 and
Roman Leischik
1
1
Department of Cardiology, Sector Preventive Medicine, Health Promotion, Faculty of Health, School of Medicine, University Witten/Herdecke, 58095 Hagen, Germany
2
Department of Cardiology I—Coronary and Peripheral Vascular Disease, Heart Failure Medicine, University Hospital Muenster, Cardiol, 48149 Muenster, Germany
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(5), 1590; https://doi.org/10.3390/ijerph17051590
Submission received: 26 January 2020 / Revised: 23 February 2020 / Accepted: 25 February 2020 / Published: 1 March 2020
(This article belongs to the Special Issue Physical Exercise and Chronic Diseases Prevention)
Versions Notes

Abstract

:
Background: Employment in the administrative sector is characterized by prolonged sedentary work, which has been tied to increased morbidity and compromised health. The aim of this study was to determine cardiovascular, cardiorespiratory and metabolic risk parameters of German office workers (OWs) in comparison to OWs from other nations. Material and Methods: A total of 46 male office workers from the North Rhine-Westphalia region (Germany) participated in the survey. Anthropometric measurements, cardiovascular and metabolic risk factors, as well as laboratory parameters were taken. The 10-year cardiovascular risk was calculated by using the Framingham risk score. The diagnosis of metabolic syndrome was based on the criteria of the International Diabetes Federation. Cardiorespiratory status was assessed by exercise spirometry. Results: The analyzed group of OWs demonstrated a high prevalence of preobesity (Body Mass Index 26.4 ± 4 and waist circumference 97.3 ± 11.7 cm) and 58.7% of the OWs showed an abnormally large waist circumference. Cardiovascular risk was correspondingly elevated as compared with other international studies (9.7% ± 9.2%). High risk cardiovascular profiles were detected in 10.7% of the participants and 33% of the OWs in our study group were diagnosed with metabolic syndrome. The oxygen uptake of the OWs was 34.1 ± 8.1 mL/kg−1·min−1. Conclusions: The German OWs show elevated cardiovascular risk assessed using the Framingham risk score and also a high tendency for metabolic syndrome. The OWs need to be made further aware of the cardiovascular risk and resulting health implications. Implementation of health promotion concepts such as corporate sports activities or nutrition courses should be taken into consideration to counteract cardiovascular risk factors and the subsequent development of cardiovascular disease in later life.

1. Introduction

Physical activity is recognized as one of the most important factors protecting against cardiovascular disease and cancer worldwide [1,2,3].
Healy et al. [4] described harmful associations of prolonged sedentary time with cardiometabolic and inflammatory biomarkers in U.S. adults. In the 1950s, research showed that employment requiring high physical activity at work had lower rates of cardiovascular-associated diseases as compared with physically inactive work [5]. Morris et al. were the first to describe the correlation between physical activity and a lower incidence of ischaemic heart disease.
The sector of public administration in Germany is a numerically large workforce of approximately 18.5 million German citizens [6]. It is known that civil servants show different health behaviors with an associated poor prognosis of health as compared with the general population [7]. Working as an office worker (OW) in an administrative authority is characterized as sedentary work. These work-related sedentary activities are associated with increased cardiovascular risk [4]. Similarly, studies that have analyzed data from different countries have shown that across countries OWs are more likely to lead an unhealthy lifestyle and exhibit physical inactivity [8]. In large international cohorts, physical inactivity could be held responsible for up to 25% of breast and colon cancers, up to 27% of the diabetes mellitus burden, and 30% of cases of coronary heart disease worldwide [9].
Studies investigating German OWs are rare, although it is of major medical and socioeconomic interest to improve the prevention of work-related development of disease. This study prospectively examined cardiovascular, cardiorespiratory, and metabolic parameters in German OWs in order to collect epidemiographic risk parameters associated with this occupational group. After conducting the study, a literature search was performed to compare our findings to international data. Our aim was to evaluate differences in cardiovascular and metabolic risks amongst countries.

2. Materials and Methods

2.1. Participants

Male sedentary OWs in the Ruhr area (Dortmund, Hagen, and Witten) were invited to participate in this study via internet advertisements, social media, and local corporate distribution after they responded to an official request. The recruitment of study participants was advertised at workplaces. Participation was voluntary. The inclusion criterion was employment in administrative offices with a predominantly sedentary occupation. A group of 46 participants was included. The group consisted of male Caucasians ranging in age from 26 to 62 years. The OWs were civil servants who worked in tax offices or municipal administration and performed desk work. Desk work was characterized by a sedentary position of work in a fulltime job (>35 hours per week) in accordance with the criteria of Sedentary Behavior Research Network (SBRN) [10]. The participants belonged to the same social stratum (“middle class”).
Examinations were performed at baseline and at one time at the Sports Medicine Centre in Hagen (Research Sector Prevention, Public Health and Sports Medicine, University Witten/Herdecke) by a trained clinician.

2.2. Assessment Tools and Procedures

A questionnaire was used to collect information which included individual sedentary time at work (hours) and use of tobacco and alcohol, as well as to calculate the metabolic equivalents (METS) based on Ainsworth et al. [11]. Values were assessed for one week. Dynamic sport activities such as jogging, cycling, swimming, football, martial arts, and anaerobic exercise were summarized under the term dynamic METS and one MET corresponded to 1 kcal·kg−1·h−1.
The measurement of blood pressure was performed in a supine position with calibrated standard blood pressure cuffs. For the classification of blood pressure, the 2018 ESH/ESC guidelines for management of hypertension were used (systolic blood pressure: ≥140 mmHg hypertension Grade I, ≥160 mmHg Grade II, and ≥180 mmHg Grade III) [12]. Resting heart rate was measured by a 12-channel electrocardiogram ECG (MAC 600, General Electric Healthcare GmbH, Solingen, Germany). Waist circumference was measured at the end of expiration in a standing position in the center of the lower edge of the ribs and the upper edge of the iliac crest.
Participants were asked to fast (refrain from eating and drinking for 4 to 6 hours prior to the examination) before measuring body weight and having blood examinations in the morning. Body weight and body composition were determined using the body composition analyser BC-418MA (Tanita UK Ltd., The Barn, Philpots Close, Yiewsley, West Drayton, Middlesex, UB7 7RY, UK) [13]. For the measurements of body weight, body composition, and body height, participants were instructed to wear only comfortable shorts with no other clothing or shoes. Blood serum parameters that were analyzed included: total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglyceride, glycated haemoglobin (HbA1c), C-reactive protein (CRP), and lipoprotein (a). Lipoprotein (a) was measured by our laboratory (Immun—Essay La Roche).
The Framingham risk score was used to calculate the cardiovascular risk scores based on observations and data from the Framingham Heart Study [14]. Specifically, in our investigations we applied the 10-year cardiovascular disease risk score calculator based on the Framingham study [15]. The following parameters were measured to calculate cardiovascular risk: age, diabetes, smoking, treated and untreated systolic blood pressure, total cholesterol, HDL levels, and Body Mass Index BMI.
The classification used to identify individuals with metabolic syndrome was based on the criteria of the International Diabetes Federation (IDF) in 2005 [16]. The definition focuses on four entities: obesity, dyslipidaemia, hypertension, and insulin resistance. For diagnosis, obesity must be present, as well as two other criteria. The main criterion of the IDF definition is central obesity which can be assessed by waist circumference or by BMI. The reference value of waist circumference was 94 cm.
Spiroergometry [17,18,19] was performed in the following manner: After successful gas and volume calibration, a stress test was conducted beginning at 50 watts and continuously increasing by 25 watts every 2 min (ramp test). The test ended when the subject could no longer maintain the predefined cadence of 80/min or if the subject was subjectively exhausted and there was no further increase in VO2max after 20 sec. The spiroergometric analyses were conducted as previously described [18,19]. The ventilator aerobic threshold (AT) was defined as the first nonlinear increase in the ventilatory equivalent for oxygen without simultaneous increase of the ventilatory equivalent for CO2. The respiratory compensation point (RCP) was defined as the simultaneous nonlinear increase of both ventilatory equivalents, according to previously described recommendations [18,19].

2.3. Statistical Analysis

For statistical analysis, Stata/IC 13.1 for Windows (StataCorp., LLC 4905 Lakeway Drive, College Station, TX 77845, USA) was used. The anthropometric parameters, clinical characteristics, physical activity, and cardiorespiratory fitness parameters were described using the number of participants, means, standard deviations, and medians. Categorical characteristics were displayed by specifying absolute and relative frequency. Comparisons of the study data with other study results were completed by using means and standard deviations.

2.4. Ethical Statement

This study was approved by the Ethic Committee of the University Witten/Herdecke (121/2013). All participants were given information about the study and were asked to sign a consent form prior to their participation.

3. Results

3.1. Study Population and Basic Characteristics

In this prospective study, all 46 consecutively recruited male participants were included in the study. The participating OWs were between 26 and 62 years old. The mean age was 45.8 ± 10 years (Table 1). The OWs had 21.1 ± 10.8 years of professional experience varying between 3 and 46 years. The mean sedentary time at work of all participants was 52.2 ± 17.2 h/week. Leisure time activity in vigorous physical activities was 2212 ± 2293 METs/week. Strength training, jogging, swimming, and cycling were considered vigorous physical activities.

3.2. Cardiovascular Risk

3.2.1. Cardiovascular Risk Factors

The OWs were slightly above the upper limit of the normal range of 25 kg/m² (BMI), thus they could be assigned to the pre-obese/overweight range. The OWs consumed an average of 1.72 cigarettes/day. In total, 10.9% of the OWs (n = 5) consumed nicotine and 71.7% of the OWs had a normal systolic blood pressure (RR ≤ 139 mmHg). The remaining participants (28.3%) had a raised systolic blood pressure at rest (RR > 140 mmHg). The diastolic elevated blood pressure values (RR ≥ 90 mmHg) were measured for 54.3% of all participants. One OW had the highest systolic blood pressure at rest with an RR of 170 mmHg. Representation of blood pressure as seen in our study group is listed in Table 2. The mean resting heart rate value was 70.1 ± 12.5 beats per minute.
The OWs showed raised total cholesterol values of 206.6 mg/dL (normal ≤200 mg/dL). The parameters HDL, LDL, triglyceride, HbA1c, and CRP were not elevated. In addition, 58.7% of the participants showed an abnormally large waist circumference and 13% had an increased BMI. By adapting the criteria of the IDF, systolic blood pressure changes were detected in 63% of the cases, whereas diastolic blood pressure changes appeared in 54.3% of the cases.
Cardiovascular risk factors were also taken into account for the diagnosis of metabolic syndrome according to the IDF [16]. In the group of examined OWs, a clear trend towards obesity became visible. When considering lipid profile percentages, elevated triglyceride was most frequently detected (39.1%). The major cardiovascular risk factors are listed in Table 3.

3.2.2. Cardiovascular Risk Profile by Framingham

In Table 4, the 10-year risk for cardiovascular events and the heart/vascular age (years) shown are based on the Framingham risk score. When stratifying cardiovascular risk in groups of percentages, most OWs were classified as having a <5% chance of a 10-year cardiovascular event (32.6% of the OWs) and five participants were recognized to be high risk (>20% chance of a 10-year cardiovascular event) which represented 10.7% of the study group.
The examined OWs showed a mean 10-year cardiovascular system risk of 9.7% ± 9.2% and a mean heart/vascular age of 49.6 ± 15.5 years. They exceeded their actual mean age of 45.8 years by 3.8 years.

3.2.3. Metabolic Syndrome

In the group of OWs, a metabolic syndrome was detected in 15 of 46 participants according to the criteria of the International Diabetes Federation (IDF). This corresponded to 32.6% (Table 5).

3.2.4. Cardiorespiratory Fitness

The relative oxygen uptake (rel. VO2max) was 34.1 ± 8.1 mL/kg−1·min−1 (Table 6). An absolute oxygen uptake (abs. VO2max) of 2.85 ± 0.52 L/min−1 was shown. The maximum achieved wattage was 257.7 ± 46.9 W, while watt per kilogram was 3.03 ± 0.74 W/kg. Spiroergometry exercise parameters are displayed in Table 6.

4. Discussion

The collected data provides insight into cardiovascular health and cardiorespiratory fitness of German OWs. It would appear that German office workers are more likely to have metabolic syndrome and an abnormally large waist circumference as compared to office workers from other nations (e.g., Asia) [22].

4.1. Cardiovascular Risk

In general, sedentary time is reported as an independent risk factor for the development of cardiovascular diseases, diabetes mellitus, and higher rates of mortality [23,24,25,26,27,28]. Subjects with cardiovascular disease or high disease risk are more sedentary and less active than their healthy peers [29]. Sedentary activities of OWs represent up to 71% of their working day [30]. The average sedentary working hours of our study cohort was 52.2 ± 17.2 h/week. Past studies underline that sedentary work behavior can accelerate the emergence and progression of cardiovascular diseases [26]. This can also be assumed for our examined OWs. Therefore, future prospective observational studies are necessary.
In the examined OWs a systolic hypertension was observed in 63%, and diastolic hypertension was observed in 54.3%, based on criteria for metabolic syndrome of the IDF. Nevertheless, average systolic and diastolic blood pressure values revealed normal standard values.
The presence of hypertension is not only notable in our study cohort but can be observed in the entire population. It seemed that the prevalence of arterial hypertension in the group of OWs was higher as compared with the German population. Estimates show that slightly over 30% of the German population express arterial hypertensive blood pressure values [31]. In an international comparison, our study cohort showed the highest systolic and diastolic blood pressure values as compared with OWs from Thailand, Korea, Japan and Iran [22,32,33,34,35]. Approximately the same levels of systolic blood pressure were observed in Japanese office workers [34].
One of the most important cardiovascular risk factors is smoking. Our examined OWs showed the lowest prevalence of nicotine consumption (prevalence 10.9%) as compared with international values of nicotine consumption. British administrators, as well as Korean and Japanese OWs, showed a significantly higher prevalence of smoking [22,33,36].
When the Framingham risk scores are divided into categories of low, moderate, high, and very high risk, our study population could be classified in the “low risk” category, according to a 10-year chance of cardiovascular events that was <10% [37]. A direct comparison of the 10-year risk stratification of cardiovascular events in OWs with international studies could not be carried out due to a lack of comparative studies that used the same risk score.
In our group of OWs, the mean blood lipid levels that depict cardiovascular risk were increased above the upper limit of the healthy reference range, with the exception of total cholesterol displaying a mean of 206.6 ± 29.9 mg/dL. Our study cohort showed elevated total cholesterol values which was in agreement with the findings of previous research on "office workers". Dutch office workers displayed the highest cholesterol levels which were above the healthy range in an international comparison (mean total cholesterol 266 ± 50 mg/dL) [38]. Furthermore, relatively high triglyceride levels were identified in our study cohort. Triglyceride levels measured in our study seemed to exceed values reported by Hartung et al. (162 vs. 87.7 mg/dL), who also examined these parameters in German OWs [39]. A crucial reason for an increase in serum cholesterol levels, and thus the presence of increased cardiovascular risk in our cohort of OWs could be due to not only sedentary work but also insufficient physical activity in leisure time. In our population, vigorous physical activities amounted to 2212 METs/week. This finding could be limited on its own as calorie intake was not taken into consideration. Healy et al. [4] demonstrated in their study that a work-related sedentary lifestyle is associated with the presence of cardiovascular risk factors. The time of sedentary work activity was found to be related to an abnormally large waist circumference, elevated serum triglyceride, and serum CRP levels and lower HDL cholesterol levels [4].
In this study, we routinely analyzed lipoprotein (a) in our probands. Lipoprotein (a) represents an important cardiovascular risk parameter. Elevated values of this parameter are associated with an increased cardiovascular risk profile and can, in conjunction with other cardiovascular risk factors, increase the risk for vascular diseases [40,41]. Lipoprotein (a) is a genetically determined parameter and appears to play a central role in the development of coronary artery diseases and thromboembolic events [42,43]. Kamstrup et al. [41] demonstrated, in males with increased lipoprotein (a) levels in combination with other important cardiovascular risk parameters, a 35% higher 10-year risk suffering myocardial infarction. Hartung et al. investigated the aforementioned parameters among OWs. Compared to the group of OWs included in the study by Hartung et al. [39], our study cohort population had a significantly higher rate of elevated lipoprotein (a) levels of >30 mg/dl (36.4% vs. 20.8%). Table 7 shows a comparative survey of cardiovascular risk factors with OWs in other studies.

4.2. Metabolic Syndrome

In our study, the definition of the International Diabetes Federation (IDF) was used for the diagnosis of metabolic syndrome [21]. The definition of IDF is well validated and adipositas is the central factor for the definition of metabolic syndrome. In comparison with other studies, the definition of IDF is more likely to be used in central Europe than definitions of the National Cholesterol Education Program (NCEP) and the World Health Organization (WHO) [45,46]. The OWs in our study cohort showed a mean waist circumference of 97.3 ± 11.7 cm. The BMI was within the overweight range with a mean of 26.4 ± 4.1kg/m2. With waist circumferences of 84.2 ± 9.0 cm, Japanese OWs displayed smaller abdominal circumferences and normal standard values of BMI [33]. British OWs showed an average BMI that was elevated within the normal range of 24.5 ± 0.9 kg/m2 [7]. However, an abnormally large abdominal circumferences and BMI do not appear to be exclusive to our investigated German cohort; they are globally detectable in individuals doing sedentary office work.
One reason for the abnormally large abdominal circumferences in OWs examined in our study seemed to be caused by sedentary work activities, but the impact of this fact is unknown. It is known, that prolonged sedentary activities are associated with larger abdominal circumferences and the severity the associated metabolic risk [47].
According to the criteria of the IDF, the metabolic syndrome was detected in 32.6% of probands in our study. Prior research linked the group of sedentary workers to an unhealthy lifestyle [8]. Bank employees in Russia showed indices in the same range (34.6% prevalence metabolic syndrome) [8]. Compared with office workers from Bangkok, German OWs seemed to dispose of metabolic syndrome more frequently [32,48]. The lowest prevalence of metabolic syndrome was found among office workers in Korea [22]. Table 8 shows a comparison of the prevalence of metabolic syndrome in the professional category of "office workers" among countries. There is increasing evidence in the literature that indicates an increased risk of developing metabolic syndrome following a high rate of sedentary behavior [27].
It can be assumed that differences in professional activities and nutrition exist but are not investigated by prior studies. Therefore, there is a need to perform prospective studies concerning the issue of nutrition. An extensive literature search led to no results for nationwide studies regarding the topic in Germany.

4.3. Cardiorespiratory Fitness

High cardiorespiratory fitness is an important factor in the prevention and treatment of cardiovascular risk, diseases, and mortality [49,50]. In detail, higher cardiorespiratory fitness is associated with lower BMI, a lower risk for developing type 2 diabetes, and being physically active [51,52]. Working conditions of office workers are characterized by mainly sedentary working behavior. For a group of OWs, Ramli et al. [53] demonstrated that, for example, being overweight is associated with physical inactivity at work. So far, data about cardiorespiratory fitness of office workers are limited and as far as we know, there are only a few studies about the impact of sedentary working time on cardiorespiratory fitness among office workers. In general, the VO2max values estimated in German OWs seemed to be similar to the range of values in healthy participants (VO2max 2.85 vs. 2.45 L/min−1) [54]. VO2max can decline with aging and can differ in reality and self-perception [55,56]. A direct comparison of the data investigated is challenging because of diverging parameters in age and BMI between the study groups. Compared to recreational athletes, the VO2max assessed in our study was, expectedly, lower (VO2max, 2.85 vs. 4.7 L/min−1) [57]. A group of professional firefighters with high degrees of physical activity at work also showed higher values of oxygen uptake (VO2max, 2.85 vs. 3.17 L/min−1) [58]. Low VO2max or low exercise capacity is generally linked with higher risk of cardiovascular diseases or higher metabolic risks. [50,59]. A comparison with office workers of other countries showed that the VO2max values of German OWs are relatively high, however, the comparison had some pitfalls due to the lack of availability of study data. Korean OWs showed a relative oxygen uptake of 32.4 ± 5.4 mL/kg−1·min−1 [60], whereas OWs from Malaysia presented a relative VO2max of 24 ± 3.8 mL/kg−1·min−1 [53]. In our study, the examined OWs reached a higher mean oxygen uptake of (rel. VO2max) 34.1 ± 8.10 mL/kg−1·min−1. A comparative presentation of relative oxygen uptake is shown in Table 9.

5. Conclusions

Sedentary behavior is linked to higher cardiovascular risks [4,63]. To the best of our knowledge, this study was one of the first to assess data on cardiovascular health, metabolic syndrome, and cardiorespiratory status of office workers in Germany. The risk of our German study cohort developing cardiovascular diseases and displaying decreased cardiorespiratory fitness seems to be above the healthy range. In about 50% of the cases, our study cohort showed an increase of diastolic and systolic blood pressure at rest. With respect to international OWs, these values were the highest of the cohorts investigated. The 10-year cardiovascular risk in our study cohort was classified to be less than 5%, assessed by the Framingham risk score. A trend towards obesity could be seen in the investigated individuals doing sedentary office work. However, an abnormally large abdominal circumferences and BMI do not appear to be exclusive to our German OWs cohort; they are globally detectable in the context of "office workers”.
A high prevalence of metabolic syndrome amongst OWs was not exclusive to our German cohort but was identified globally. This highlights that this disease as an international burden, challenging the diagnosis and management for individuals performing sedentary work. Our study aspired to assess the cardiorespiratory status of OWs, but we found a lack of comparable data making no statement possible. As a result of high cardiovascular risk, OWs need to be informed of this risk, and adjustments to the work environment as well as health promoting concepts should be implemented such as corporate sports activities or nutrition courses. To determine the influence of occupational settings in more detail, further national and transnational studies are necessary.

Author Contributions

Conceptualization M.S., P.F., and R.L.; methodology M.S., P.F., and R.L.; validation M.S., P.F., and R.L.; formal analysis M.S. and R.L.; investigation M.S., P.F., and R.L.; resources R.L.; data curation M.S., P.F., and R.L.; writing—original draft preparation M.S. and R.L.; writing—review and editing M.S. and R.L.; visualization M.S. and R.L.; supervision M.S. and R.L.; project administration M.S., P.F., and R.L.; funding acquisition R.L. All authors have read and agree to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

ATVentilator aerobic threshold
BMIBody mass index
CRPC- reactive protein
ECGelectrocardiogram
HbA1c%glycated hemoglobin
HDLHigh density lipoprotein
IDFInternational Diabetes Federation
LDLLow density lipoprotein
METMetabolic equivalent
OWOffice worker
RCPRespiratory compensation point
RRBlood pressure
SBRNSedentary Behavior Research Network
rel. VO2maxRelative maximal oxygen uptake
abs.VO2maxAbsolute maximal oxygen uptake

References

  1. Fong, D.Y.-T.; Ho, J.W.C.; Hui, B.; Lee, A.M.; Macfarlane, D.J.; Leung, S.S.K.; Cerin, E.; Chan, W.Y.Y.; Leung, I.P.F.; Lam, S.H.S.; et al. Physical Activity for Cancer Survivors: Meta-Analysis of Randomised Controlled Trials. BMJ 2012, 344, e70. [Google Scholar] [CrossRef] [Green Version]
  2. Haskell, W.; Lee, I.-M.; Pate, R.R.; Powell, K.E.; Blair, S.N.; Franklin, B.A.; Macera, C.A.; Heath, G.W.; Thompson, P.D.; Bauman, A. Physical Activity and Public Health: Updated Recommendation for Adults from the American College of Sports Medicine and the American Heart Association. Med. Sci. Sports Exerc. 2007, 39, 1423–1434. [Google Scholar] [CrossRef] [Green Version]
  3. Danaei, G.; Eric, L.D.; Dariush, M.; Ben, T.; Jürgen, R.; Christopher, J.L.M.; Majid, E. The Preventable Causes of Death in the United States: Comparative Risk Assessment of Dietary, Lifestyle, and Metabolic Risk Factors. PLoS Med. 2009, 6, e1000058. [Google Scholar] [CrossRef] [PubMed]
  4. Healy, G.N.; Matthews, C.; Dunstan, D.W.; Winkler, E.A.; Owen, N. Sedentary Time and Cardio-Metabolic Biomarkers in Us Adults: Nhanes 2003–2006. Eur. Heart J. 2011, 32, 590–597. [Google Scholar] [CrossRef] [PubMed]
  5. Morris, J.; Heady, J.; Raffle, P.; Roberts, C.; Parks, J. Coronary Heart-Disease and Physical Activity of Work. Lancet 1953, 265, 1111–1120. [Google Scholar] [CrossRef]
  6. Berufsforschung, Institut für Arbeitsmarkt- und. Berufe Im Spiegel Der Statistik, Edited by Bundesagentur für Arbeit. Available online: http://bisds.infosys.iab.de/bisds/result?beruf=BO781 (accessed on 15 November 2014).
  7. Marmot, M.; Stansfeld, S.; Patel, C.; North, F.; Head, J.; White, I.; Brunner, E.; Feeney, A.; Smith, G.D.; Marmot, M. Health Inequalities among British Civil Servants: The Whitehall Ii Study. Lancet 1991, 337, 1387–1393. [Google Scholar] [CrossRef]
  8. Konradi, A.; Rotar, O.P.; Korostovtseva, L.; Ivanenko, V.V.; Solntcev, V.N.; Anokhin, S.B.; Bart, V.A.; Shlyakhto, E.V. Prevalence of Metabolic Syndrome Components in a Population of Bank Employees from St. Petersburg, Russia. Metab. Syndr. Relat. Disord. 2011, 9, 337–343. [Google Scholar] [CrossRef] [PubMed]
  9. (WHO), World Health Organisation. Global Health Risks Mortality and Burden of Disease Attributable to Selected Major Risks. Available online: http://www.who.int/healthinfo/global_burden_disease/GlobalHealthRisks_report_full.pdf (accessed on 13 January 2015).
  10. Sedentary Behaviour Research, Network. Letter to the Editor: Standardized Use of the Terms “Sedentary” and “Sedentary Behaviours”. Appl. Physiol. Nutr. Metab. 2012, 37, 540–542. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Ainsworth, B.; Haskell, W.L.; Herrmann, S.D.; Meckes, N.; Bassett, D.R.; Tudor-Locke, C.; Greer, J.L.; Vezina, J.; Whitt-Glover, M.C.; Leon, A.S. 2011 Compendium of Physical Activities: A Second Update of Codes and Met Values. Med. Sci. Sports Exerc. 2011, 43, 1575–1581. [Google Scholar] [CrossRef] [Green Version]
  12. Williams, B.; Mancia, G.; Spiering, W.; Rosei, E.A.; Azizi, M.; Burnier, M.; Clement, D.L.; Coca, A.; De Simone, G.; Dominiczak, A.F.; et al. 2018 Esc/Esh Guidelines for the Management of Arterial Hypertension. Eur. Heart J. 2018, 39, 3021–3104. [Google Scholar] [CrossRef]
  13. Ackland, T.; Lohman, T.G.; Sundgot-Borgen, J.; Maughan, R.J.; Meyer, N.L.; Stewart, A.; Müller, W.; Ackland, W.P.T.R. Current Status of Body Composition Assessment in Sport: Review and Position Statement on Behalf of the Ad Hoc Research Working Group on Body Composition Health and Performance, under the Auspices of the I.O.C. Medical Commission. Sports Med. 2012, 42, 227–249. [Google Scholar] [CrossRef] [PubMed]
  14. Anderson, K.M.; Odell, P.M.; Wilson, P.W.; Kannel, W.B. Cardiovascular Disease Risk Profiles. Am. Heart J. 1991, 121, 293–298. [Google Scholar] [CrossRef]
  15. Study, Framingham Heart. Ten Years Cardiovascular Disease Risk; Available online: https://www.framinghamheartstudy.org/risk-functions/cardiovascular-disease/10-year-risk.php (accessed on 15 January 2020).
  16. Alberti, K.G.M.M.; Zimmet, P.; Shaw, J. Metabolic Syndrome--a New World-Wide Definition. A Consensus Statement from the International Diabetes Federation. Diabet. Med. 2006, 23, 469–480. [Google Scholar] [CrossRef] [PubMed]
  17. Wasserman, K.; Whipp, B.J.; Koyl, S.N.; Beaver, W.L. Anaerobic Threshold and Respiratory Gas Exchange during Exercise. J. Appl. Physiol. 1973, 35, 236–243. [Google Scholar] [CrossRef] [PubMed]
  18. Steding, K.; Buhre, T.; Arheden, H.; Wohlfart, B. Respiratory Indices by Gas Analysis and Fat Metabolism by Indirect Calorimetry in Normal Subjects and Triathletes. Clin. Physiol. Funct. Imaging 2010, 30, 146–151. [Google Scholar] [CrossRef] [PubMed]
  19. Beaver, W.L.; Wasserman, K.; Whipp, B.J. A New Method for Detecting Anaerobic Threshold by Gas Exchange. J. Appl. Physiol. 1986, 60, 2020–2027. [Google Scholar] [CrossRef] [PubMed]
  20. Grundy, S.M.; Pasternak, R.; Greenland, P.; Smith, S.; Fuster, V. Assessment of Cardiovascular Risk by Use of Multiple-Risk-Factor Assessment Equations: A Statement for Healthcare Professionals from the American Heart Association and the American College of Cardiology. Circulation 1999, 100, 1481–1492. [Google Scholar] [CrossRef] [Green Version]
  21. Alberti, K.G.; Zimmet, P.; Shaw, J. The Metabolic Syndrome—A New Worldwide Definition. Lancet 2005, 366, 1059–1062. [Google Scholar] [CrossRef]
  22. Suh, B.S. The Association between Serum Gamma-Glutamyltransferase within Normal Levels and Metabolic Syndrome in Office Workers: A 4-Year Follow-up Study. Korean J. Fam. Med. 2012, 33, 51–58. [Google Scholar] [CrossRef] [Green Version]
  23. Van Uffelen, J.; Wong, J.; Chau, J.Y.; Van Der Ploeg, H.; Riphagen, I.; Gilson, N.D.; Burton, N.; Healy, G.N.; Thorp, A.A.; Clark, B.K.; et al. Occupational Sitting and Health Risks: A Systematic Review. Am. J. Prev. Med. 2010, 39, 379–388. [Google Scholar] [CrossRef] [Green Version]
  24. Wilmot, E.G.; Edwardson, C.L.; Achana, F.A.; Davies, M.; Gorely, T.; Gray, L.J.; Khunti, K.; Yates, T.; Biddle, S.J.H. Sedentary Time in Adults and the Association with Diabetes, Cardiovascular Disease and Death: Systematic Review and Meta-Analysis. Diabetologia 2012, 55, 2895–2905. [Google Scholar] [CrossRef]
  25. Katzmarzyk, P.T.; Church, T.S.; Craig, C.L.; Bouchard, C. Sitting Time and Mortality from All Causes, Cardiovascular Disease, and Cancer. Med. Sci. Sports Exerc. 2009, 41, 998–1005. [Google Scholar] [CrossRef] [PubMed]
  26. Same, R.V.; Feldman, D.; Shah, N.; Martin, S.S.; Al Rifai, M.; Blaha, M.J.; Graham, G.; Ahmed, H. Relationship between Sedentary Behavior and Cardiovascular Risk. Curr. Cardiol. Rep. 2016, 18, 6. [Google Scholar] [CrossRef] [PubMed]
  27. Edwardson, C.L.; Gorely, T.; Davies, M.; Gray, L.J.; Khunti, K.; Wilmot, E.G.; Yates, T.; Biddle, S.J.H. Association of Sedentary Behaviour with Metabolic Syndrome: A Meta-Analysis. PLoS ONE 2012, 7, e34916. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Buckley, J.P.; Hedge, A.; Yates, T.; Copeland, R.J.; Loosemore, M.; Hamer, M.; Bradley, G.; Dunstan, D.W. The Sedentary Office: An Expert Statement on the Growing Case for Change towards Better Health and Productivity. Br. J. Sports Med. 2015, 49, 1357–1362. [Google Scholar] [CrossRef]
  29. Vasankari, V.; Husu, P.; Vähä-Ypyä, H.; Suni, J.H.; Tokola, K.; Borodulin, K.; Wennman, H.; Halonen, J.; Hartikainen, J.; Sievãnen, H.; et al. Subjects with Cardiovascular Disease or High Disease Risk Are More Sedentary and Less Active Than Their Healthy Peers. BMJ Open Sport Exerc. Med. 2018, 4, e000363. [Google Scholar] [CrossRef]
  30. Clemes, S.A.; O’Connell, S.E.; Edwardson, C.L. Office Workers’ Objectively Measured Sedentary Behavior and Physical Activity During and Outside Working Hours. J. Occup. Environ. Med. 2014, 56, 298–303. [Google Scholar] [CrossRef] [Green Version]
  31. Adler, C.; Rosario, A.S.; Diederichs, C.; Neuhauser, H. Change in the Association of Body Mass Index and Systolic Blood Pressure in Germany—National Cross-Sectional Surveys 1998 and 2008–2011. BMC Public Health 2015, 15, 705. [Google Scholar] [CrossRef] [Green Version]
  32. Lohsoonthorn, V.; Lertmaharit, S.; Williams, M.A. Prevalence of Metabolic Syndrome among Professional and Office Workers in Bangkok, Thailand. J. Med. Assoc. Thai. 2007, 90, 1908–1915. [Google Scholar]
  33. Matsuura, H.; Mure, K.; Nishio, N.; Kitano, N.; Nagai, N.; Takeshita, T. Relationship between Coffee Consumption and Prevalence of Metabolic Syndrome among Japanese Civil Servants. J. Epidemiol. 2012, 22, 160–166. [Google Scholar] [CrossRef] [Green Version]
  34. Nakanishi, N.; Sato, M.; Shirai, K.; Nakajima, K.; Murakami, S.; Takatorige, T.; Suzuki, K.; Tatara, K. Associations between White Blood Cell Count and Features of the Metabolic Syndrome in Japanese Male Office Workers. Ind. Health 2002, 40, 273–277. [Google Scholar] [CrossRef] [PubMed]
  35. Mirmohammadi, S.J.; Taheri, M.; Mehrparvar, A.H.; Heydari, M.; Kanafi, A.S.; Mostaghaci, M. Occupational Stress and Cardiovascular Risk Factors in High-Ranking Government Officials and Office Workers. Iran. Red Crescent Med. J. 2014, 16, e11747. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Marmot, M.; Rose, G.; Shipley, M.; Hamilton, P.J. Employment Grade and Coronary Heart Disease in British Civil Servants. J. Epidemiol. Community Health 1978, 32, 244–249. [Google Scholar] [CrossRef] [Green Version]
  37. Wilson, P.W.F.; Levy, D.; Belanger, A.M.; Silbershatz, H.; Kannel, W.B.; D’Agostino, R.B. Prediction of Coronary Heart Disease Using Risk Factor Categories. Circulation 1998, 97, 1837–1847. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Mares, N.E.; Aben, D.J.; Schouten, E.G.; Kok, F.J.; Van Der Heide-Wessel, C.; Van Der Heide, R.M. [Income and Mortality; Results of a 25-Year Follow-up Study in Male Civil Servants in Amsterdam]. Ned. Tijdschr. Geneeskd. 1988, 132, 1109–1113. [Google Scholar] [PubMed]
  39. Hartung, D.; Stadeler, M.; Grieshaber, R.; Keller, S.; Jahreis, G. Work and Diet-Related Risk Factors of Cardiovascular Diseases: Comparison of Two Occupational Groups. J. Occup. Med. Toxicol. 2010, 5, 4. [Google Scholar] [CrossRef] [Green Version]
  40. Ariyo, A.A.; Thach, C.; Tracy, R. Lp(a) Lipoprotein, Vascular Disease, and Mortality in the Elderly. N. Engl. J. Med. 2003, 349, 2108–2115. [Google Scholar] [CrossRef]
  41. Kamstrup, P.R.; Benn, M.; Tybjaerg-Hansen, A.; Nordestgaard, B.G. Extreme Lipoprotein(a) Levels and Risk of Myocardial Infarction in the General Population: The Copenhagen City Heart Study. Circulation 2008, 117, 176–184. [Google Scholar] [CrossRef] [Green Version]
  42. Leischik, R.; Birgit, D. Lipoprotein (a): Importance for the Fibrinolytic System and Thromboembolic Complications. Herz 2006, 31, 144–152. [Google Scholar] [CrossRef]
  43. Leischik, R.; Dworrak, B.; Gülker, H. Lipoprotein(a) in Coronary Heart Disease: Clinical Significance and Therapeutic Options. Dtsch. Med. Wochenschr. 2005, 130, 2518–2523. [Google Scholar] [CrossRef]
  44. Lohsoonthorn, V.; Jiamjarasrungsi, W.; Williams, M.A. Association of Hematological Parameters with Clustered Components of Metabolic Syndrome among Professional and Office Workers in Bangkok, Thailand. Diabetes Metab. Syndr. 2007, 1, 143–149. [Google Scholar] [CrossRef] [Green Version]
  45. Detection, E.E.P.O. Executive Summary of the Third Report of the National Cholesterol Education Program (Ncep) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel Iii). JAMA 2001, 285, 2486–2497. [Google Scholar]
  46. Alberti, K.G.; Zimmet, P.Z. Definition, Diagnosis and Classification of Diabetes Mellitus and Its Complications. Part 1: Diagnosis and Classification of Diabetes Mellitus Provisional Report of a Who Consultation. Diabet. Med. 1998, 15, 539–553. [Google Scholar] [CrossRef]
  47. Healy, G.N.; Wijndaele, K.; Dunstan, D.W.; Shaw, J.E.; Salmon, J.; Zimmet, P.Z.; Owen, N. Objectively Measured Sedentary Time, Physical Activity, and Metabolic Risk: The Australian Diabetes, Obesity and Lifestyle Study (Ausdiab). Diabetes Care 2008, 31, 369–371. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  48. Strauß, M.; Foshag, P.; Przybylek, B.; Horlitz, M.; Lucia, A.; Sanchis-Gomar, F.; Leischik, R. Occupation and Metabolic Syndrome: Is There Correlation? A Cross Sectional Study in Different Work Activity Occupations of German Firefighters and Office Workers. Diabetol. Metab. Syndr. 2016, 8, 1–8. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Lavie, C.J.; Arena, R.; Swift, D.L.; Johannsen, N.M.; Sui, X.; Lee, D.-C.; Earnest, C.P.; Church, T.S.; O’Keefe, J.H.; Milani, R.V.; et al. Exercise and the Cardiovascular System: Clinical Science and Cardiovascular Outcomes. Circ. Res. 2015, 117, 207–219. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Myers, J.; Prakash, M.; Froelicher, V.; Do, D.; Partington, S.; Atwood, J.E. Exercise Capacity and Mortality among Men Referred for Exercise Testing. N. Engl. J. Med. 2002, 346, 793–801. [Google Scholar] [CrossRef]
  51. Jackson, A.S.; Sui, X.; Hebert, J.R.; Church, T.S.; Blair, S.N. Role of Lifestyle and Aging on the Longitudinal Change in Cardiorespiratory Fitness. Arch. Intern. Med. 2009, 169, 1781–1787. [Google Scholar] [CrossRef] [Green Version]
  52. Kawakami, R.; Sawada, S.; Lee, I.-M.; Gando, Y.; Momma, H.; Terada, S.; Kinugawa, C.; Okamoto, T.; Tsukamoto, K.; Higuchi, M.; et al. Long-Term Impact of Cardiorespiratory Fitness on Type 2 Diabetes Incidence: A Cohort Study of Japanese Men. J. Epidemiol. 2017, 28, JE20170017. [Google Scholar] [CrossRef] [Green Version]
  53. Ramli, A.; Henry, L.J.; Liang, Y.F.; Beh, J.Y. Effects of a Worksite Health Programme on the Improvement of Physical Health among Overweight and Obese Civil Servants: A Pilot Study. Malays. J. Med. Sci. 2013, 20, 54–60. [Google Scholar]
  54. Duque, I.; Parra, J.H.; Duvallet, A. Maximal Aerobic Power in Patients with Chronic Low Back Pain: A Comparison with Healthy Subjects. Eur. Spine. J. 2011, 20, 87–93. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Peate, W.F.; Lundergan, L.; Johnson, J.J. Fitness Self-Perception and Vo2max in Firefighters. J. Occup. Environ. Med. 2002, 44, 546–550. [Google Scholar] [CrossRef] [PubMed]
  56. Rogers, M.A.; Hagberg, J.M.; Martin, W.H.; Ehsani, A.A.; Holloszy, J.O. Decline in Vo2max with Aging in Master Athletes and Sedentary Men. J. Appl. Physiol. 1990, 68, 2195–2199. [Google Scholar] [CrossRef] [PubMed]
  57. Leischik, R.; Spelsberg, N. Endurance Sport and Cardiac Injury: A Prospective Study of Recreational Ironman Athletes. Int. J. Environ. Res. Public Health 2014, 11, 9082–9100. [Google Scholar] [CrossRef] [Green Version]
  58. Strauß, M.; Karutz, H.; Foshag, P.; Spelsberg, N.; Dworrak, B.; Horlitz, M.; Leischik, R. Fit for Rescue? Notf. Rett. 2016, 19, 1–9. [Google Scholar]
  59. Meyers, D.A.; Andrew, P.G.; Margit, L.B.; Patricia, J.C.; Donald, T.D.; Bleecker, E.R. Relationship of Obesity and Physical Fitness to Cardiopulmonary and Metabolic Function in Healthy Older Men. J. Gerontol. 1991, 46, M57–M65. [Google Scholar] [CrossRef]
  60. Yoo, C.; Park, S.; Yang, D.; Park, Y.; Kim, D.; Yang, Y. Study of the Physical Condition of Middle-Aged Office and Field Workers Aged 50 and Older. J. Phys. Ther. Sci. 2014, 26, 1575–1577. [Google Scholar] [CrossRef] [Green Version]
  61. Kennedy, R.A.; Boreham, C.A.; Murphy, M.H.; Young, I.S.; Mutrie, N. Evaluating the Effects of a Low Volume Stairclimbing Programme on Measures of Health-Related Fitness in Sedentary Office Workers. J. Sports Sci. Med. 2007, 6, 448–454. [Google Scholar]
  62. Kraushaar, L.E.; Kramer, A. Web-Enabled Feedback Control over Energy Balance Promotes an Increase in Physical Activity and a Reduction of Body Weight and Disease Risk in Overweight Sedentary Adults. Prev. Sci. 2014, 15, 579–587. [Google Scholar] [CrossRef]
  63. Ford, E.S.; Caspersen, C.J. Sedentary Behaviour and Cardiovascular Disease: A Review of Prospective Studies. Int. J. Epidemiol. 2012, 41, 1338–1353. [Google Scholar] [CrossRef]
Table
Table 1. Basic characteristics of the study population.
Table 1. Basic characteristics of the study population.
Office Workers
nMeanSDMedian
Age (years)4645.810.048.0
Weight (kg)4687.113.483.8
Height (cm)46181.55.4182.0
Body Mass Index BMI (kg/m²)4626.44.125.5
Body-surface area by Mosteller462.090.172.05
Muscle mass (kg)4665.36.465.7
Body fat (%)4620.86.520.3
Sedentaryf time (h)4652.217.251.5
Table
Table 2. Classification of systolic and diastolic blood pressure in degrees of severity [12].
Table 2. Classification of systolic and diastolic blood pressure in degrees of severity [12].
Systolic Blood Pressure
nOptimal (≤120 mmHg)Normal (120–129 mmHg)High Normal (130–139 mmHg)Grade 1 Hypertension (140–159 mmHg)Grade 2 Hypertension (160–179 mmHg)Grade 3 Hypertension (>180 mmHg)
Office workers464 (8.7%)12 (26.1%)17 (36.9%)12 (26.1%)1 (2.2%)0 (0%)
Diastolic Blood Pressure
nOptimal (≤80 mmHg)Normal (80–84 mmHg)High Normal (85–89 mmHg)Grade 1 Hypertension (90–99 mmHg)Grade 2 Hypertension (100–109 mmHg)Grade 3 Hypertension (>110 mmHg)
Office workers464 (8.7%)16 (34.8%)1 (2.2%)15 (32.6%)10 (21.7%)0 (0%)
Table
Table 3. Representation of major cardiovascular risk factors in the study population.
Table 3. Representation of major cardiovascular risk factors in the study population.
Office Workers
nMeanSDMedianNormal (%)Abnormal (%)
Age (Years)4645.810.048.0
Weight (kg)4687.113.483.8
BMI (kg/m²)4626.44.125.540 (87.0%)6 (13.0%)
Abdominal waist (cm)4697.311.794.519 (41.3%)27 (58.7%)
Systolic blood pressure (mmHg)46129.111.7130.017 (37.0%)29 (63.0%)
Diastolic blood pressure (mmHg)4686.68.790.021 (45.7%)25 (54.3%)
Heart rate (beats/min.)4670.112.568.0
Tobacco use (Cigarettes/day)461.725.530.00
Alcohol (days a week)461.551.851.00
Cholesterol (mg/dL)46206.629.9204.5
High-Density Lipoprotein (mg/dL)4655.814.854.540 (87.0%)6 (13.0%)
Low- Density Lipoprotein (mg/dL)46118.623.6119.0
Triglyceride (mg/dL)46162.191.4130.028 (60.9%)18 (39.1%)
HbA1c (%)465.40.65.4
C-reactive protein (mg/dL)460.270.630.10
Grundy et al. [20]
Table
Table 4. Representation of the 10-year risk of cardiovascular events and heart/vascular age of the study population.
Table 4. Representation of the 10-year risk of cardiovascular events and heart/vascular age of the study population.
nMeanSDMedian
Ten-year risk by Framingham (%)
Office workers469.79.27.4
Risk categories
<5%5–10%>10–20%>20%
n
Percent		15
(32.6)		13
(28.3)		13
(28.3)		5
(10.7)
Heart/Vascular Age by Framingham (Years)
Office workers4649.615.549.5
Table
Table 5. Diagnosis metabolic syndrome number (frequency) according to the criteria of the International Diabetes Federation (IDF) [21].
Table 5. Diagnosis metabolic syndrome number (frequency) according to the criteria of the International Diabetes Federation (IDF) [21].
nNo Metabolic SyndromeMetabolic Syndrome
Office workers4631 (67.4%)15 (32.6%)
Table
Table 6. Spiroergometry and physical activity results of office workers.
Table 6. Spiroergometry and physical activity results of office workers.
Office Workers
nMeanSDMedian
Ventilator aerobic threshold (AT)
Hr46106.219.1105.0
abs. VO2461.470.471.35
rel. VO24618.39.415.0
%VO2max4651.013.749.5
W46116.842.6101.0
Respiratory compensation point (RCP)
Hr46129.422.0131.5
abs.VO2462.040.652.05
rel.VO24624.08.224.0
%VO2max4669.716.370.0
W46171.349.0185.5
Maximum Loading (Max)
Hr46167.717.5167.0
abs.VO2462.850.522.83
rel.VO24634.18.134.5
W46257.746.9257.5
Wmax/kg463.030.743.00
Dynamic METS4622122292.82215
Hr, heart rate (min); abs. VO2, absolute maximal oxygen uptake (L/min); rel. VO2, relative maximal oxygen uptake(mL/kg−1·min−1); %VO2max, percent of absolute maximal oxygen uptake (L/min).; W, watt; Wmax/kg, watt maximal per kg body weight.
Table
Table 7. Comparison of cardiovascular risk factors in published studies of office workers and civil servants.
Table 7. Comparison of cardiovascular risk factors in published studies of office workers and civil servants.
n
Cardiovascular Risk Factors
SourceOwn ResultsLohsoon-thorn et al. [44]Suh et al. [22]Matsuura et al. [33]Nakanishi et al. [34]Hartung et al. [39]Mirmoham-madi et al. [35]
Study CohortOffice Workers GermanyOffice Workers ThailandOffice Workers KoreaCivil Servants JapanOffice Workers JapanOffice Workers GermanyOffice Workers Iran
Study cohort4653115109233552754890
Age (Years)45.8 ± 10.042 ± 9.041.3 ± 5.946.4 ± 10.743.5 ± 9.830 up to 4547.5 ± 5.1
Weight (kg)87.1 ± 13.4 79.8 ± 14.3
BMI (kg/m²)26.4 ± 4.124.5 ± 3.423.8 ± 2.623.9 ± 3.223.4 ± 2.825.327.5 ± 4.1
Abdominal waist (cm)97.3 ± 11.7 84.2 ± 9.0 93.6 ± 9.7
Number of smokers (%)10.9 39.543.7 16.7
RRsRest (mmHg)129.1 ± 11.7123.4 ± 14.7112.8 ± 12.8124.0 ± 16.0127.2 ± 14.9 125.2 ± 13.7
RRdRest (mmHg)86.6 ± 8.780.8 ± 10.475.7 ± 8.677.0 ± 11.077.3 ± 11.9 81.3 ± 8.2
Cholesterol (mg/dL)206.6 ± 29.9 192 ± 32197193.4 ± 44.6
HDL (mg/dL)55.8 ± 14.851.7 ± 12.750.7 ± 9.957.9 ± 14.156 ± 134653.3 ± 9.5
LDL (mg/dL)118.6 ± 23.6 122.6 ± 29.7 135
Triglyceride (mg/dL)162.1 ± 91.4152.2 ± 112.3127.1 ± 65.9107.0108.8 ± 85.187.7169.1 ± 72.9
HbA1c (%)5.4 ± 0.6 5.2
CRP (mg/dL)0.27 ± 0.63 2.3
Lipoprotein a > 30 mg/dL (%)36.4 20.8
Table
Table 8. Prevalence of metabolic syndrome in published studies.
Table 8. Prevalence of metabolic syndrome in published studies.
Prevalence of Metabolic Syndrome
Office Workers/Civil Servants
SourcePrevalence (%)CountryCriteria
Own results32.6GermanyIDF
Lohsoonthorn et al. [32]25.8ThailandModified NCEP/ATP III
Konradi et al. [8]34.6RussiaIDF
Suh et al. [22]7.4KoreaModified NCEP/ATP III
Matsuura et al. [33]16JapanJapanese Criteria
Table
Table 9. Published data of relative oxygen uptake (rel. VO2max) by office workers and healthy participants.
Table 9. Published data of relative oxygen uptake (rel. VO2max) by office workers and healthy participants.
Office WorkersHealthy Participants
Sourcerel. VO2max (mL/kg−1·min−1)Sourcerel. VO2max (ml/kg−1·min−1)
Own results34.1 ± 8.1
Ramli et al. [53]24 ± 3.8Duque et al. [54]40.5 ± 5.5
Kennedy et al. [61]27.1 ± 3.9
Kraushaar et al. [62]32.2
Yoo et al. [60]32.4 ± 5.4

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Strauss, M.; Foshag, P.; Leischik, R. Prospective Evaluation of Cardiovascular, Cardiorespiratory, and Metabolic Risk of German Office Workers in Comparison to International Data. Int. J. Environ. Res. Public Health 2020, 17, 1590. https://doi.org/10.3390/ijerph17051590

AMA Style

Strauss M, Foshag P, Leischik R. Prospective Evaluation of Cardiovascular, Cardiorespiratory, and Metabolic Risk of German Office Workers in Comparison to International Data. International Journal of Environmental Research and Public Health. 2020; 17(5):1590. https://doi.org/10.3390/ijerph17051590

Chicago/Turabian Style

Strauss, Markus, Peter Foshag, and Roman Leischik. 2020. "Prospective Evaluation of Cardiovascular, Cardiorespiratory, and Metabolic Risk of German Office Workers in Comparison to International Data" International Journal of Environmental Research and Public Health 17, no. 5: 1590. https://doi.org/10.3390/ijerph17051590

APA Style

Strauss, M., Foshag, P., & Leischik, R. (2020). Prospective Evaluation of Cardiovascular, Cardiorespiratory, and Metabolic Risk of German Office Workers in Comparison to International Data. International Journal of Environmental Research and Public Health, 17(5), 1590. https://doi.org/10.3390/ijerph17051590

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