| Author, Year, Origin | Study Focus | Study Design | Subjects | Sample size (%OW/OB) | Outcome Variable(s) | Primary Obesity Measure / Other Measure(s) | Significant Obesity Effect | Significant Overweight Effect | Acknowledging Limitations of Obesity Measures |
---|---|---|---|---|---|---|---|---|---|---|
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 | + | + | – |