Sitting Occupations and Physical Intensity of Work as Predictors of Mortality: A Retrospective Study of a Population of Workers in Southern Italy

Abstract

Background:

There is mounting evidence for an association between sedentary behaviour at work and an increase in all-cause death.

Objective:

The aim of the present study is to compare the mortality risk between a group of workers who performed sedentary jobs and a group of workers who performed physical jobs.

Methods:

A sample of 2325 subjects aged 65-84 years was randomly selected from the electoral rolls of eight municipalities in the Apulia region of southern Italy. All the participants underwent clinical exams and evaluation of work and lifetime physical activity via an interview. The jobs were divided into physical jobs (farmer, worker, attendant) and sedentary jobs (employee, manager, housewife, unemployed). Mortality data were acquired through the civil status office, and the Framingham risk score and the Fried frailty index were calculated.

Results:

We found that compared with subjects who performed sedentary jobs, subjects who performed physical jobs had a lower level of education (p = 0.005), a higher level of physical activity in the 30-40-years (p = 0.021) and 40-50-years (p = 0.042) divisions, and a lower mean Framingham score (p = 0.048). The mortality risk was higher for physical job workers than for sedentary job workers (HR = 0.56, 95% CI 0.707 - 0.462). In contrast, after adjusting the result for all covariates, the mortality risk was higher for sedentary job workers than for physical job workers (HR = 1.53, 95% CI 1.021 - 1.056).

Conclusion:

Our results support public health initiatives and policies to encourage adults to move more and sit less at work and throughout their day.

Keywords: Sitting occupation, Workers, Sedentary behaviours, Physical heaviness of work, Mortality risk, Southern Italy.

1. INTRODUCTION

Traditionally, environmental and occupational risk factors for human health are classified into chemical, carcinogenic, physical and biological types [1-20].

Among the physical risks, we can distinguish between those related to heavy physical work and those related to sed

entary occupations. Many epidemiological and clinical studies have shown the health benefits of physical activity during leisure time [21]. In contrast, the link between a sedentary lifestyle and poor health has been established [22, 23].

It has also been suggested that physical inactivity at work is a risk factor and that physically demanding work is a protective factor for morbidity and mortality [24, 25]. However, studies on occupational sitting and health risks have not provided such definitive evidence, and many authors do not believe that physically demanding work leads to a reduction in mortality and that sedentary work increases mortality risk [26-29].

Since the original work by Morris et al [30], which demonstrated an increased risk of cardiovascular disease for sitting occupations, a systematic review by van Uffelen et al [31] showed inconsistent and conflicting results for the association between occupational sitting and cardiovascular disease, diabetes, cancer and body mass index.

Different definitions and methods for measuring exposure can affect the results, and the variability in the results may also be partly explained by limited statistical power. There have been huge differences in the definitions of physical work. Some studies have defined it according to a high energy expenditure [32, 33], some have defined it according to heavy work tasks, such as lifting and carrying [34, 35], and some have defined it by a combination of both of these definitions [25, 36].

Further research on the relationship between occupational sitting and health risks is particularly important because the vast majority of adults in working age groups in industrialized countries are in professions that require a prolonged sitting posture [37-39]. Furthermore, work activity takes up more than half of the waking time [40]. The most recent studies show a decreasing trend for energy expenditure from physical activity in the workplace [41], and on average, workers spend over 70% of their working time in a sitting position [42, 43].

Although this issue is debated in the literature, the prevailing hypothesis is that a sedentary job is associated with a higher mortality rate compared to work with moderate physical intensity [44]. On this basis, the aim of the present study is to compare the mortality risk between a group of workers who performed sedentary jobs and a group of workers who performed physical jobs, all of whom reside in Castellana Grotte, a small town of the Apulia region of southern Italy, and the surrounding area.

2. MATERIALS AND METHODS

Between January 2013 and August 2017, a sample of 2325 subjects (1023 male, 1302 female) aged 65-84 years (average age 73.3), free-living or institutionalized, with median schooling of 6 years, was randomly selected from the electoral rolls of eight Italian municipalities after stratification for age and sex. All subjects are part of “The Great-AGE Study”, an on-going population-based study on ageing conducted in Castellana Grotte, a small town in the Apulia region of southern Italy [45]. Voluntary informed consent was obtained before enrolment from each subject and/or their relatives in case of cognitive impairment.

All the subjects underwent a clinical evaluation in the Clinical Research Unit on frailty at the IRCCS 'Saverio de Bellis' Hospital of Castellana Grotte. Clinical examinations had the aim of defining several pathological phenotypes and delineating the determinants of the main ageing outcomes.

Each participant was administered a screening questionnaire aimed at reconstructing occupational history. The evaluation of work activity was also performed via an interview. The following three questions were asked to each participant: “What type of job did you do predominantly for at least 8 h/day for at least 30 years?” ; “Was it a predominantly physical or intellectual type of work?” ; and “For how long did you do such work?” The jobs were divided into physical jobs (farmer, worker, attendant) and sedentary jobs (employee, manager, housewife, unemployed).

Mortality data were acquired through the civil status office and crossed with data recorded by the regional health system. Mortality is defined as the number of deaths in a temporal unit (year), and survival means the number of years from the theoretical onset of a given event until death.

The evaluation of the lifetime physical activity was performed via an anamnestic questionnaire administered to the subject or to his caregiver in the presence of evident cognitive decline regarding the physical activity performed during the various phases of life. Physical activity was divided into intervals of 15-30 years, 30-40 years, 40-50 years, 50-65 years, and the last year. It was classified in accordance with the PASE questionnaire (Physical Activity Scale for the Elderly) [46]. Levels of physical activity in the years before the interview were coded into an ordinal scale based on the equivalent metabolic consumption (MET) as follows: bedridden = 0 MET, difficulty in movement = 0.5 MET; sedentary = 2.5 MET; slight = 3.5 MET; moderate = 6.0 MET; intense = 12 MET; and vigorous = 25 MET.

For all participants, the Framingham risk score and Fried frailty index were calculated.

The Framingham risk score is a gender-specific algorithm used to estimate the 10-year risk of Coronary Heart Disease (CHD) for individuals with different combinations of risk factors. Individuals with low risk have a 10% or less CHD risk at 10 years, those with an intermediate risk have a 10-20% risk, and those with a high risk have a 20% risk or more [47].

The Fried frailty index [48] derived from the Cardiovascular Health Study (CHS) is an operational definition of frailty in older subjects based on the presence of any three of the following five characteristics: shrinking, weakness, poor endurance, slowness, and low physical activity.

Exclusion criteria were a history of neoplastic pathology or other diseases with a high risk of mortality and the presence of frailty according to Fried index or cognitive impairment.

Statistical analyses were performed via Analysis Of Variance (ANOVA) to identify statistically significant differences between the two groups. The Hazard Ratio (HR) with its 95% confidence interval was calculated with the interval Cox model adjusted for all covariates. The level of statistical significance was set at p < 0.05. If Sedentary/Physical jobs have an HR<1 and the upper limit of the 95% confidence interval is <1, sedentary work is associated with a lower risk of mortality compared to physical work. If HR>1 and the lower bound of the 95% confidence interval is >1, sedentary work is associated with a higher risk of mortality compared to physical work.

3. RESULTS

In total, 6 of the 2325 study participants were excluded for evidence of cognitive impairment, 98 for frailty according to the Fried index and 42 for a history of neoplastic pathology or other diseases with a high risk of mortality. The remaining 2179 were divided into a group of 653 workers who performed sedentary jobs and a group of 1526 workers who performed physical jobs.

Table 1 shows the statistical comparison of covariates between the two groups. Workers who performed physical jobs showed a significantly lower level of education (5 vs 7; p = 0.005), a significantly higher level of physical activity in the 30-40-years (16.02 vs 8.06 Met / Hw; p = 0.021) and 40-50-years (8.01 vs 6.03 Met / Hw; p = 0.042) divisions and a lower mean Framingham score (0.25 vs 0.38; p = 0.048) than those who performed sedentary jobs. The median time to event (death) was 38 months for physical job workers and 42 months for sedentary job workers.

We then calculated the hazard ratio sedentary/physical jobs (HR = 0.56, 95% CI 0.707 - 0.462) and we found that the mortality risk was lower for sedentary job workers than for physical job workers. In contrast, the hazard ratio after adjusting the result for all covariates listed in Table 1 (HR = 1.53, 95% CI 1.021 - 1.056) showed that the mortality risk was higher for sedentary job workers than for physical job workers (Table 2).

Table 1.
ANOVA covariate descriptions.
Effect Physical Jobs (n. 1526) Sedentary Jobs (n. 653) P-value
Age, y 72.3 74.6 0.079
Sex (males) 44% 43% 0.091
Education, y 5 7 0.005
Physical activity
last year
3.5 Met/Hw 3 Met/Hw 0.567
Physical activity
after 65 year
3.5 Met/Hw 3.5 Met/Hw 0.654
Physical activity
between 50 and 65 years
4 Met/Hw 4 Met/Hw 0.952
Physical activity
between 40 and 50 years
8 Met/Hw 6 Met/Hw 0.042
Physical activity
between 30- and 40 years
16 Met/Hw 8 Met/Hw 0.021
Physical activity
between 15 and 30 years
18 Met/Hw 16 Met/Hw 0.062
Framingham Score 0.25 0.38 0.048

4. DISCUSSION

Our results show that the mortality risk is higher for physical job workers than for sedentary job workers. On the contrary, after adjusting the result for all covariates listed in Table 1, the mortality risk is higher for sedentary job workers than for physical job workers.

Our findings can be explained by taking into account the differences between the two groups in terms of the confounding factors education, physical activity in the 30-50-years division and the Framingham score. By adjusting the results for all these covariates, the mortality risk was higher for sedentary job workers than for physical job workers. This allows us to hypothesize that conducting moderate physical activity regularly, in every type of daily activity, including work, is healthy for the human organism.

Table 2.
Interval Cox model with a modality-by-time interaction, adjusted for covariates.
Effect Hazard Ratio* 95% CI P-value
Sedentary/ Physical jobs 0.56 (0.707 – 0.462) < 0.001
Sedentary/ Physical jobs
adjusted
1.35 (1.021 – 1.056) < 0.001
*HR<1: sedentary work is associated with a lower risk of mortality compared to physical work.
HR>1: sedentary work is associated with a higher risk of mortality compared to physical work.

Although this issue is debated in the literature, our results are in agreement with other studies [24, 25]. Akiko Sakaue et al demonstrated that higher levels of physical activity are associated with a reduced risk of cancer and cardiovascular death, while longer occupational sitting time is associated with increased mortality [44]. Tuija M Mikkola et al [49] recently conducted a prospective cohort study between 1990 and 2015 involving 5210 men and 4725 women from the Helsinki Birth Cohort Study to examine the relationships of the late-career physical intensity of work and sitting at work with mortality. A national-level job exposure matrix was used to determine the occupation-specific level of the physical intensity of work and sitting. The results show how men in physically heavy work during their late-work career were at higher risk of death than men in physically light work. Among men, high physical intensity of work was positively associated with and sitting at work was negatively associated with all-cause, cardiovascular and external-cause mortality (e.g. accidents), but neither was associated with cancer mortality. In women, neither the high physical intensity of work nor sitting at work was associated with mortality. In contrast to these results, Autenrieth et al [32] reported a lower risk of all-cause and cardiovascular mortality among those with moderate occupational physical activity compared with those with light occupational physical activity, while Andersen et al [50] found a lower all-cause mortality risk in women with heavy manual work compared with women at sitting type of work but did not find associations in men. Furthermore, a meta-analysis of studies reporting risk ratios found an association between higher occupational physical activity and lower mortality in women [51].

When interpreting the results, it should also be taken into account that sitting occupations and physical occupations are related to other, different risk factors. Thus, the results are likely to reflect the effect of a larger set of risk or protection factors, which are correlated with other professional exposures (i.e., sitting occupations rarely include exposure to chemical risk factors). Thus, the target population can modify the results. The results can also be influenced by differences in lifestyles between the workers of the two groups. Non-manual workers have physically lighter work tasks, and they have been found to have better health habits than manual workers [52].

CONCLUSION

In conclusion, we found that the group of workers who performed sedentary jobs had a higher mortality risk than the group of workers who performed physical jobs. Our results support public health initiatives and policies to encourage adults to move more and sit less at work and throughout their day.

LIST OF ABBREVIATIONS

PASE = Physical Activity Scale for the Elderly
MET = Equivalent Metabolic Consumption
CHD = Coronary Heart Disease
CHS = Cardiovascular Health Study.

AUTHORS’ CONTRIBUTIONS

LV, DC and RS conceived and designed the work; DC, AC and LDM performed the work; DC and RS analysed data and interpreted results; LV, DC, AC, LDM, ESSC, FM, FB and DMC wrote and revised the manuscript. All authors read and approved the final manuscript.

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

All medical and instrumental examinations were performed according to Italian law concerning the protection of workers exposed to occupational risks (D.Lgs. 81/2008).

HUMAN AND ANIMAL RIGHTS

All subjects were informed that data from the research protocol would be treated in an anonymous and collective way, with scientific methods and scientific purposes in accordance with the principles of the Helsinki Declaration.

CONSENT FOR PUBLICATION

Voluntary informed consent was obtained before enrolment from each subject and/or their relatives in case of cognitive impairment.

AVAILABILITY OF DATA AND MATERIALS

The data that supports the findings of this study are available from the corresponding author [L.V], upon reasonable request.

FUNDING

None.

CONFLICT OF INTEREST

The authors declare no conflict of interest, financial or otherwise.

ACKNOWLEDGEMENTS

Declared none.

REFERENCES

1
Shankar A, Dubey A, Saini D, et al. Environmental and occupational determinants of lung cancer. Transl Lung Cancer Res 2019; 8(Suppl. 1): S31-49.
2
Serio G, Vimercati L, Pennella A, et al. Genomic changes of chromosomes 8p23.1 and 1q21: Novel mutations in malignant mesothelioma. Lung Cancer 2018; 126: 106-11.
3
Intranuovo G, De Maria L, Facchini F, et al. Risk assessment of upper limbs repetitive movements in a fish industry. BMC Res Notes 2019; 12(1): 354.
4
Pourhassan B, Meysamie A, Alizadeh S, Habibian A, Beigzadeh Z. Risk of obstructive pulmonary diseases and occupational exposure to pesticides: A systematic review and meta-analysis. Public Health 2019; 174: 31-41. [Epub ahead of print]. [ Review].
5
Quarato M, Gatti MF, De Maria L, Caputi A, Fucilli FIM, Vimercati L. Occupational exposure to fluorescent light in a pathologist with myopic complications and asthenopia onset. Med Lav 2017; 108(3): 228-32.
6
Dipalma N, Luisi V, Di Serio F, et al. Biomarkers in malignant mesothelioma: Diagnostic and prognostic role of soluble mesothelin-related peptide. Int J Biol Markers 2011; 26(3): 160-5.
7
Mamma M, Spandidos DA. Customs officers in relation to viral infections, tuberculosis, psittacosis and environmental health risk. Exp Ther Med 2019; 17(2): 1149-53.
8
Vimercati L, Baldassarre A, Gatti MF, et al. Respiratory Health in Waste Collection and Disposal Workers. Int J Environ Res Public Health 2016; 13(7): 631.
9
Lorusso A, Vimercati L, L’abbate N. Musculoskeletal complaints among Italian X-ray technology students: A cross-sectional questionnaire survey. BMC Res Notes 2010; 3: 114.
10
Vimercati L, Carrus A, Martino T, et al. Formaldehyde exposure and irritative effects on medical examiners, pathologic anatomy post-graduate students and technicians. Iran J Public Health 2010; 39(4): 26-34.
11
Quarato M, De Maria L, Gatti MF, et al. Air pollution and public health: A PRISMA-compliant systematic review. Atmosphere 2017; 8(10): 183.
12
Vimercati L, Gatti MF, Baldassarre A, et al. Occupational Exposure to Urban Air Pollution and Allergic Diseases. Int J Environ Res Public Health 2015; 12(10): 12977-87.
13
Campo L, Vimercati L, Carrus A, et al. Environmental and biological monitoring of PAHs exposure in coke-oven workers at the Taranto plant compared to two groups from the general population of Apulia, Italy. Med Lav 2012; 103(5): 347-60.
14
Vimercati L. Traffic related air pollution and respiratory morbidity. Lung India 2011; 28(4): 238.
15
Serio G, Pezzuto F, Marzullo A, et al. Peritoneal mesothelioma with residential asbestos exposure. Report of a case with long survival (seventeen years) analyzed by Cgh-array. Int J Mol Sci 2017; 18(8): 1818.
16
Vimercati L, Carrus A, Bisceglia L, et al. Biological monitoring and allergic sensitization in traffic police officers exposed to urban air pollution. Int J Immunopathol Pharmacol 2006; 19(4)(Suppl.): 57-60.
17
Metintas S, Ak G, Metintas M. A review of the cohorts with environmental and occupational mineral fiber exposure. Arch Environ Occup Health 2019; 74(1-2): 76-84.
18
Vimercati L, Cavone D, Lovreglio P, et al. Environmental asbestos exposure and mesothelioma cases in Bari, Apulia region, southern Italy: A national interest site for land reclamation. Environ Sci Pollut Res Int 2018; 25(16): 15692-701.
19
Intranuovo G, Schiavulli N, Cavone D, et al. Assessment of DNA damages in lymphocytes of agricultural workers exposed to pesticides by comet assay in a cross-sectional study. Biomarkers 2018; 23(5): 462-73.
20
Vimercati L, Fucilli F, Cavone D, et al. Radon levels in indoor environments of the university hospital in Bari-Apulia Region Southern Italy. Int J Environ Res Public Health 2018; 15(4): 694.
21
US Department of Health and Human Services. Physical Activity Guidelines for Americans: Be Active, Healthy, and Happy! 2008. Washington: US DHHS. Available: . https://health.gov/paguidelines/2008/pdf/paguide.pdf. Accessed 3 Sep 2019.
22
Patel AV, Bernstein L, Deka A, et al. Leisure time spent sitting in relation to total mortality in a prospective cohort of US adults. Am J Epidemiol 2010; 172(4): 419-29.
23
Grøntved A, Hu FB. Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: A meta-analysis. JAMA 2011; 305(23): 2448-55.
24
Stamatakis E, Chau JY, Pedisic Z, et al. Are sitting occupations associated with increased all-cause, cancer, and cardiovascular disease mortality risk? A pooled analysis of seven British population cohorts. PLoS One 2013; 8(9): e73753.
25
Khaw KT, Jakes R, Bingham S, et al. Work and leisure time physical activity assessed using a simple, pragmatic, validated questionnaire and incident cardiovascular disease and all-cause mortality in men and women: The European Prospective Investigation into Cancer in Norfolk prospective population study. Int J Epidemiol 2006; 35(4): 1034-43.
26
Huerta JM, Chirlaque MD, Tormo MJ, et al. Work, household, and leisure-time physical activity and risk of mortality in the EPIC-Spain cohort. Prev Med 2016; 85: 106-12.
27
van der Ploeg HP, Møller SV, Hannerz H, van der Beek AJ, Holtermann A. Temporal changes in occupational sitting time in the Danish workforce and associations with all-cause mortality: Results from the Danish work environment cohort study. Int J Behav Nutr Phys Act 2015; 12: 71.
28
Pulsford RM, Stamatakis E, Britton AR, Brunner EJ, Hillsdon M. Associations of sitting behaviours with all-cause mortality over a 16-year follow-up: The Whitehall II study. Int J Epidemiol 2015; 44(6): 1909-16.
29
Kikuchi H, Inoue S, Odagiri Y, Inoue M, Sawada N, Tsugane S. Occupational sitting time and risk of all-cause mortality among Japanese workers. Scand J Work Environ Health 2015; 41(6): 519-28.
30
Morris JN, Heady JA, Raffle PA, Roberts CG, Parks JW. Coronary heart-disease and physical activity of work. Lancet 1953; 262(6796): 1111-20.
31
van Uffelen JGZ, Wong J, Chau JY, et al. Occupational sitting and health risks: A systematic review. Am J Prev Med 2010; 39(4): 379-88.
32
Autenrieth CS, Baumert J, Baumeister SE, et al. Association between domains of physical activity and all-cause, cardiovascular and cancer mortality. Eur J Epidemiol 2011; 26(2): 91-9.
33
Krause N, Arah OA, Kauhanen J. Physical activity and 22-year all-cause and coronary heart disease mortality. Am J Ind Med 2017; 60(11): 976-90.
34
Bourgkard E, Wild P, Massin N, et al. Association of physical job demands, smoking and alcohol abuse with subsequent premature mortality: A 9-year follow-up population-based study. J Occup Health 2008; 50(1): 31-40.
35
Niedhammer I, Bourgkard E, Chau N. Occupational and behavioural factors in the explanation of social inequalities in premature and total mortality: A 12.5-year follow-up in the Lorhandicap study. Eur J Epidemiol 2011; 26(1): 1-12.
36
Wanner M, Tarnutzer S, Martin BW, et al. Swiss National Cohort (SNC). Impact of different domains of physical activity on cause-specific mortality: A longitudinal study. Prev Med 2014; 62: 89-95.
37
The Organisation for Economic Co-operation and Development. Employment Outlook. OECD 2018. Available from: . http://www.oecd.org/els/emp/oecdemploymentoutlook.htm Accessed 3 Sep 2019
38
Bureau of Labor Statistics. American time use survey 2018. Washington, DC: Department of Labor 2012. Available from: . http://www.bls.gov/news.release/atus.nr0.htm. Accessed 3 Sep 2019.
39
Messenger JC. Working time trends and developments in Europe. Camb J Econ 2011; 35: 295-316.
40
Basner M, Fomberstein KM, Razavi FM, et al. American time use survey: Sleep time and its relationship to waking activities. Sleep 2007; 30(9): 1085-95.
41
Church TS, Thomas DM, Tudor-Locke C, et al. Trends over 5 decades in U.S. occupation-related physical activity and their associations with obesity. PLoS One 2011; 6(5): e19657.
42
Jurakic D, Andrijasevic M, Pedisic Z. Assessment of workplace characteristics and physical activity preferences as integral part of physical activity promotion strategies for middle-aged employees. Sociologija i Prostor 2010; 48: 113-31.
43
Miller R, Brown W. Steps and sitting in a working population. Int J Behav Med 2004; 11(4): 219-24.
44
Sakaue A, Adachi H, Enomoto M, et al. Association between physical activity, occupational sitting time and mortality in a general population: An 18-year prospective survey in Tanushimaru, Japan. Eur J Prev Cardiol 2018; 20474873188100202047487318810020
45
Solfrizzi V, Scafato E, Frisardi V, et al. Frailty syndrome and all-cause mortality in demented patients: The Italian Longitudinal Study on Aging. Age (Dordr) 2012; 34(2): 507-17.
46
Voorrips LE, Ravelli AC, Dongelmans PC, Deurenberg P, Van Staveren WA. A physical activity questionnaire for the elderly. Med Sci Sports Exerc 1991; 23(8): 974-9.
47
D’Agostino RB Sr, Vasan RS, Pencina MJ, et al. General cardiovascular risk profile for use in primary care: The Framingham Heart Study. Circulation 2008; 117(6): 743-53.
48
Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: Evidence for a phenotype. J Gerontol A Biol Sci Med Sci 2001; 56(3): M146-56.
49
Mikkola TM, von Bonsdorff MB, Salonen MK, et al. Physical heaviness of work and sitting at work as predictors of mortality: A 26-year follow-up of the Helsinki Birth Cohort Study. BMJ Open 2019; 9(5)e026280
50
Andersen LB, Schnohr P, Schroll M, Hein HO. All-cause mortality associated with physical activity during leisure time, work, sports, and cycling to work. Arch Intern Med 2000; 160(11): 1621-8.
51
Samitz G, Egger M, Zwahlen M. Domains of physical activity and all-cause mortality: Systematic review and dose-response meta-analysis of cohort studies. Int J Epidemiol 2011; 40(5): 1382-400.
52
Clougherty JE, Souza K, Cullen MR. Work and its role in shaping the social gradient in health. Ann N Y Acad Sci 2010; 1186: 102-24.