| Literature DB >> 27555885 |
Markus Strauß1, Peter Foshag1, Bianca Przybylek1, Marc Horlitz2, Alejandro Lucia3, Fabian Sanchis-Gomar4, Roman Leischik1.
Abstract
BACKGROUND: The treatment and prevention of the metabolic syndrome (MetS) is currently one of the major challenges in medicine. The impact of working conditions on metabolic risk has not been adequately studied. Our objective was to compare the prevalence of MetS and metabolic risk in two extremely different occupational groups: firefighters and office workers.Entities:
Keywords: Firefighter; Metabolic risk; Metabolic risk factors; Metabolic syndrome; Office worker
Year: 2016 PMID: 27555885 PMCID: PMC4994412 DOI: 10.1186/s13098-016-0174-0
Source DB: PubMed Journal: Diabetol Metab Syndr ISSN: 1758-5996 Impact factor: 3.320
Age and professional experience of the study population
| Firefighters | Office workers | Office worker vs. firefighter | |||||||
|---|---|---|---|---|---|---|---|---|---|
| n | Mean | SD | Median | n | Mean | SD | Median | Estimated differencea (95 %-CI) | |
| Age (years) | 97 | 40.5 | 9.0 | 41.0 | 46 | 45.8 | 10.0 | 48.0 | 5.30 (1.86 to 8.74) |
| Professional experience (years) | 97 | 16.3 | 9.1 | 15.0 | 46 | 21.1 | 10.8 | 21.5 | 0.34 (−2.07 to 2.76) |
aLinear regression adjusted for age
Anthropometric characteristics of the study population
| Firefighters | Office workers | Office worker vs. firefighter | |||||||
|---|---|---|---|---|---|---|---|---|---|
| n | Mean | SD | Median | n | Mean | SD | Median | Estimated differencea
| |
| Weight (kg) | 97 | 85.9 | 11.5 | 85.1 | 46 | 87.1 | 13.4 | 83.8 | 0.13 (−4.38 to 4.64) |
| Height (cm) | 97 | 182.2 | 6.3 | 182.0 | 46 | 181.5 | 5.4 | 182.0 | −0.10 (−2.12 to 1.93) |
| BMI (kg/m2) | 97 | 25.9 | 3.2 | 25.1 | 46 | 26.4 | 4.1 | 25.5 | 0.08 (−1.22 to 1.38) |
| Body surface area | 97 | 2.08 | 0.16 | 2.09 | 46 | 2.09 | 0.17 | 2.05 | 0.00 (−0.06 to 0.06) |
| Muscle mass (kg) | 97 | 67.1 | 6.9 | 67.2 | 46 | 65.3 | 6.4 | 65.7 | −1.72 (−4.15 to 0.70) |
| Body fat (%) | 97 | 17.7 | 6.2 | 17.5 | 46 | 20.8 | 6.5 | 20.3 | 2.05 (−0.23 to 4.33) |
aLinear regression adjusted for age
Metabolic risk factors for diagnosis of metabolic syndrome according to the IDF
| Firefighters | Office workers | Office worker vs. firefighter | |||||||
|---|---|---|---|---|---|---|---|---|---|
| n | Mean | SD | Median | n | Mean | SD | Median | Estimated differencea (95 % CI) | |
| Central risk factors | |||||||||
| Waist circumference (cm) | 97 | 89.8 | 10.0 | 90.0 | 46 | 97.3 | 11.7 | 94.5 | 5.08 (1.44 to 8.71) p = 0.007 |
| BMI (kg/m2) | 97 | 25.9 | 3.2 | 25.1 | 46 | 26.4 | 4.1 | 25.5 | 0.08 (−1.22 to 1.38) p = 0.904 |
| Other risk factors | |||||||||
| Triglyceride (mg/dl) | 97 | 142.2 | 75.1 | 126.0 | 46 | 162.1 | 91.4 | 130.0 | 9.55 (−19.37 to 38.47) p = 0.515 |
| HDL (mg/dl) | 97 | 55.5 | 12.7 | 53.0 | 46 | 55.8 | 14.8 | 54.5 | 0.61 (−4.18 to 5.40) p = 0.802 |
| RRsRest (mmHg) | 97 | 126.4 | 9.8 | 128.0 | 46 | 129.1 | 11.7 | 130.0 | 2.19 (−1.81 to 6.19) p = 0.281 |
| RRdRest (mmHg) | 97 | 84.1 | 7.4 | 80.0 | 46 | 86.6 | 8.7 | 90.0 | 1.55 (−1.34 to 4.44) p = 0.292 |
| HbA1c (%) | 97 | 5.4 | 0.3 | 5.5 | 46 | 5.4 | 0.6 | 5.4 | −0.09 (−0.25 to 0.07) p = 0.255 |
aLinear regression adjusted for age
Number and frequency of the presence of normal or abnormal values of risk factors of metabolic syndrome according to the criteria of the IDF [22]
| Firefighters | Office workers | p value* | p value** | |||
|---|---|---|---|---|---|---|
| Normal | Abnormal | Normal | Abnormal | |||
| Triglyceride (mg/dl) | 62 (63.9 %) | 35 (36.1 %) | 28 (60.9 %) | 18 (39.1 %) | 0.853 | 0.664 |
| HDL (mg/dl) | 94 (96.9 %) | 3 (3.1 %) | 40 (87.0 %) | 6 (13.0 %) | 0.031 | 0.070 |
| RRsRest (mmHg) | 49 (50.5 %) | 48 (49.5 %) | 17 (37.0 %) | 29 (63.0 %) | 0.152 | 0.195 |
| RRdRest (mmHg) | 58 (59.8 %) | 39 (40.2 %) | 21 (45.7 %) | 25 (54.3 %) | 0.150 | 0.296 |
| Blood glucose (mg/dl) | 94 (96.9 %) | 3 (3.1 %) | 42 (91.3 %) | 4 (8.7 %) | 0.212 | 0.613 |
| Waist circumference (cm) | 66 (68.0 %) | 31 (32.0 %) | 19 (41.3 %) | 27 (58.7 %) | 0.003 | 0.051 |
| BMI (kg/m2) | 87 (89.7 %) | 10 (10.3 %) | 40 (87.0 %) | 6 (13.0 %) | 0.777 | 0.831 |
* Exact Fisher-test
** Logistic regression adjusted for age
Diagnosis of metabolic syndrome (number/frequency) according to the criteria of the IDF [22]
| n | No metabolic syndrome | Metabolic syndrome | p value (exact Fisher-test) | |
|---|---|---|---|---|
| Firefighter | 97 | 83 (85.6 %) | 14 (14.4 %) | 0.015 |
| Office worker | 46 | 31 (67.4 %) | 15 (32.6 %) | |
| Prevalence of metabolic syndrome categorized in age groups | ||||
| Age | ≤30 | 31–40 | 41–50 | >50 |
| Firefighter | 0 (0 %) | 2 (6.3 %) | 9 (24.3 %) | 3 (23.1 %) |
| Office worker | 1 (16.6 %) | 1 (20 %) | 6 (35.3 %) | 7 (38.9 %) |
Prevalence of metabolic syndrome in published studies of firefighters and office workers
| Prevalence of metabolic syndrome | |||||||
|---|---|---|---|---|---|---|---|
| Firefighters | Office workers | ||||||
| Study | Prevalence (%) | Country | Criteria | Study | Prevalence (%) | Country | Criteria |
| Own results | 14.4 | Germany | IDF | Own results | 32.6 | Germany | IDF |
| Title et al. [ | 19 | Canada | Modified NCEP/ATP III | Lohsoonthorn et al. [ | 25.8 | Thailand | Modified NCEP/ATP III |
| Carey et al. [ | 46.7 | USA | National Institutes of Health Criteria 4 | Konradi et al. [ | 34.6 | Russia | IDF |
| Donovan et al. [ | 15 | USA | ModifiedNCEP/ATP III | Suh et al. [ | 7.4 | Korea | Modified NCEP/ATP III |
| Baur et al. [ | 28.3 | USA | Modified criteria of joint scientific statements [ | Matsuura et al. [ | 16 | Japan | Japanese criteria [ |