General physical or mental work-related functioning
|
Lee et al.,2001, Australia [48]
|
Asbestos exposure
|
Secondary data analysis
|
Former Australian mine workers
|
693 (68%)
|
Pleural thickening
|
BMI
|
+
|
–
|
+
|
Clark et al.,2002, USA [49]
|
Duty fitness
|
Cross-sectional
|
Active firefighters(white)
|
218 (81%)
|
EKG, VO2 max, METS
|
BMI
|
+
|
+
|
+
|
Poston et al.,2002, USA [50]
|
Discharge from training
|
Prospective cohort
|
Airmen
|
32,144 (19%)
|
Discharge status
|
*BMI
|
–
|
+
|
+
|
Arbabi et al.,2003, USA [51]
|
Crash injury patterns
|
Secondary data analysis
|
Hospital admits of car crash
|
189 (57%)
|
Injury Scale and max AIS score, injury severity
|
BMI
|
+
|
–
|
+
|
Bungum et al.,2003, USA [52]
|
Healthcare costs, absenteeism
|
Cross-sectional
|
Permanent employees
|
506 (74%)
|
Annual healthcare cost, absent days
|
BMI
|
+
|
NA
|
–
|
Moreau et al.,2004, Belgium [53]
|
Sick leave
|
Prospective cohort
|
Belgium workers
|
20,463 (57%)
|
Sick leave
|
BMI / WC
|
+
|
+
|
–
|
Pronk et al.,2004, USA [54]
|
Work performance
|
Cross-sectional
|
Current active employees
|
683 (43%)
|
# of work loss days, job performance, extra effort exerted, interpersonal relationships
|
BMI
|
+
|
–
|
–
|
Laitinen et al.,2005, Finland [55]
|
Working ability
|
Prospective cohort
|
Young adults
|
11,637 (19%)
|
Perceived work ability
|
BMI / WHR
|
+
|
+
|
+
|
Ricci & Chee,2005, USA [56]
|
Lost productive time
|
Cross-sectional
|
Employed adults
|
7472 (58%)
|
Self-reported lost productive time in past 2 weeks, lost labor costs
|
BMI
|
+
|
–
|
+
|
Arena et al.,2006, USA [57]
|
Short-term disability
|
Retrospective cohort
|
White collar employees
|
1690 (37%)
|
Frequency + duration of short term disability
|
BMI
|
+
|
+
|
–
|
Cormier & Israel-Assayag,2006, Canada [58]
|
Inflammatory response
|
Retrospective + experimental
|
Pig farmers + general population
|
14 (57%)
|
Inflammation biomarkers: C-reactive protein, interleukin 6,soluble adhesion molecules,
|
BMI / *Girth Size
|
NA
|
+
|
–
|
Nishitani & Sakakibara,2006, Japan [59]
|
Job stress
|
Cross-sectional
|
Japanese manufacturing workers
|
208 (32%)
|
Job characteristics, eating behavior,
|
BMI
|
+
|
NA
|
–
|
Wang et al.,2006, USA [60]
|
Healthcare costs
|
Cross-sectional
|
Manufacturing company employee & spouses
|
35,932 (74%)
|
Medical and pharmaceutical claims
|
BMI
|
+
|
+
|
–
|
Østbye et al.,2007, USA [61]
|
Compensation claims, costs, lost workdays
|
Retrospective cohort
|
Health care and university employees
|
11,728 (56%)
|
Workers’ compensation claims, associated costs, and lost workdays
|
BMI
|
+
|
+
|
–
|
Charles et al.,2007, USA [62]
|
Hemato-logic parameters
|
Cross-sectional
|
Police officers
|
104 (78%)
|
White blood cell and platelet counts
|
BMI / WC,WHR, hip circumference, abdominal height, waist to height ratio
|
+
|
+
|
–
|
Finkelstein et al.,2007, USA [63]
|
Injuries/ treatment costs
|
Cross-sectional
|
General population
|
42,304 (62%)
|
Medically attended injury rates by mechanism and nature and related treatment costs
|
BMI
|
+
|
+
|
–
|
Jans et al.,2007, Netherlands [64]
|
Absenteeism
|
Prospective cohort
|
Employees in industrial, administrative, and service sectors
|
1284 (40%)
|
Company-reported absenteeism
|
BMI
|
+
|
–
|
–
|
Gates et al.,2008, USA [65]
|
Presenteeism
|
Cross-sectional
|
Manufacturing company employees
|
341 (78%)
|
Work Limitations Questionnaire
|
BMI
|
+
|
–
|
–
|
Soteriades et al.,2008, USA [66]
|
Job disability
|
Prospective cohort
|
Firefighters
|
329 (88%)
|
Job disability
|
BMI
|
+
|
–
|
+
|
Claessen et al.,2009, Germany [67]
|
Work disability
|
Prospective cohort
|
Construction workers
|
16,875 (63%)
|
# of cases
|
BMI
|
+
|
–
|
–
|
Vissers et al.,2009, Belgium [68]
|
Whole body vibration
|
Lab-based
|
Premenopausal women
|
20 (100%)
|
Ventilation of oxygen, carbon dioxide, heart rate
|
*BMI / %BF: skinfold thickness
|
+
|
+
|
+
|
Bedno et al.,2010, USA [69]
|
Heat illness/healthcare utilization
|
Prospective cohort
|
Active duty US army members
|
9667 (57%)
|
Heat illness incidence
|
weight for height / %BF, BMI
|
+
|
–
|
–
|
Robroek et al.,2010, Netherlands [70]
|
Productivity loss /sick leave
|
Cross-sectional
|
Workers
|
10,624 (49%)
|
Sick leave, self-reported productivity loss
|
BMI
|
+
|
–
|
–
|
Vincent et al.,2010, USA [71]
|
Fear of movement
|
Cross-sectional
|
Patients with knee pain diagnoses
|
278 (73%)
|
Fear of movement, knee function
|
*BMI
|
+ (only morbid obesity)
|
–
|
–
|
Cowan et al.,2011, USA [72]
|
Training-related overuse injuries
|
Cross-sectional
|
Active duty US army members
|
7323 (47%)
|
Musculoskeletal injuries incidence and healthcare utilization
|
Weight for height / %BF, BMI
|
+
|
NA
|
–
|
Poston et al.,2011, USA [73]
|
Absenteeism
|
Cross-sectional
|
Career firefighters
|
478 (19%)
|
Injury, and injury-related absenteeism
|
BMI / %BF: BIA, WC
|
+
|
+
|
–
|
Haukka et al.,2012, Finland [74]
|
Multisite musculoskeletal pain
|
Prospective cohort
|
Kitchen workers
|
385 (46%)
|
Multisite musculoskeletal pain (3 and above out of 7)
|
BMI
|
+
|
–
|
–
|
Caberlon et al.,2013,Brazil [75]
|
Musculoskeletal pain
|
Cross-sectional
|
Obesity treatment patients
|
95 (100%)
|
Musculoskeletal symptoms
|
*BMI
|
+
|
NA
|
–
|
Gubata et al.,2013, USA [76]
|
Mental disorders
|
Prospective cohort
|
Active duty US army members
|
11,369 (40%)
|
Onset of mental disorder
|
*Circumference taping / BMI, weight-for-height standard, %BF
|
–
|
–
|
–
|
Jahnke et al.,2013, USA [77]
|
(Musculoskeletal) injury
|
Prospective cohort
|
Firefighters
|
301 (0%)
|
Incident injury, MS injury
|
BMI / %BF: BIA, WC
|
+
|
+
|
–
|
Kouvonen et al.,2013, UK [78]
|
Occupational injury
|
Prospective cohort
|
Finnish hospital workers
|
69,515 (0%)
|
Occupational injury incident
|
BMI
|
+
|
+
|
–
|
Lin et al.,2013, USA [79]
|
Occupational injury
|
Prospective cohort
|
Civilian labor force
|
~ 7000 (50%)
|
Injury at work
|
BMI
|
+
|
–
|
+
|
Roos et al.,2013, Finland [80]
|
Disability retirement
|
Prospective cohort
|
Middle aged employees
|
6542 (50%)
|
Pensions register data & questionnaire
|
BMI
|
+
|
NA
|
–
|
Van der Starre et al.,2013, Netherlands [81]
|
Need for recovery
|
Cross-sectional
|
Office workers
|
412 (42%)
|
Need for recovery after work
|
BMI
|
+
|
–
|
+
|
Viester et al.,2013, Netherlands [82]
|
Musculoskeletal symptoms/recovery
|
Cross-sectional + longitudinal
|
Dutch workforce
|
44,793, 2nd phase: 7909, (43%)
|
Musculoskeletal symptoms
|
BMI
|
+
|
+/−
|
+
|
Gonzales et al.,2014, USA [83]
|
Cognitive functionality
|
Lab-based
|
General population
|
73 (67%)
|
Blood oxygen level-dependent response
|
WC / BMI
|
+
|
NA
|
–
|
Smith et al.,2014, USA [84]
|
Mental disorders
|
Secondary data analysis
|
Military personnel
|
15,195 (61%)
|
Mental health disorders
|
BMI
|
+
|
+
|
–
|