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Table 2 The 89 studies that explored effects of obesity on task or body part specific functioning, are categorized into 7 groups based on their main focus and ordered chronologically within groups

From: Use of various obesity measurement and classification methods in occupational safety and health research: a systematic review of the literature

 

Author, Year, Origin

Study Focus

Subjects

Sample size (%OW/OB)

Outcome Variable(s)/Method

Primary Obesity Measure / Other Measure(s)

OB BMI: mean(SD)/ range

Significant Obesity Effect

Significant Overweight Effect

Acknowledging Limitations of Obesity Measures

Gait Characteristics

DeVita et al., 2003, USA [85]

Lower extremity joint kinetics & energetics

General population

39 (54%)

Motion analysis, force platform

BMI

42.3(2.9)

+

NA

–

Browning et al., 2006, USA [86]

Metabolic rates & energy cost

General population

39 (49%)

Oxygen consumption, preferred walking speed

BMI / WHR, %BF: DEXA

M:33(2).1 F:33.8(3.3)

+

NA

–

Browning & Kram., 2007, USA [87]

Walking biomechanics(knee-joint loads)

Young adults

20 (50%)

Ground reaction force, gait kinematics

BMI / *segment mass

M:34.1(3.7), F: 37(6)

+

NA

–

Lafortuna et al., 2008, Italy [88]

Energetics and cardiovascular responses of walking & cycling

Lean: hospital staff, OB: hospital admits (body mass reduction)

21 (71%)

HR, Vo2 max, metabolic rate

BMI / %BF: BIA

41.1(5)

+

NA

–

Lai et al., 2008, China [89]

Three-dimensional gait characteristics

General population

28 (50%)

Motion analysis

BMI

33.06(4.2)

+

NA

–

Browning et al., 2009, USA [90]

External mechanical work

Young adults

20 (50%)

Ground reaction force

BMI

M:34.1(3.7), F:37(6)

–

NA

+

Malatesta et al., 2009, Switzerland [91]

Mechanical external work

General population

49 (61%)

Center of mass displacement, mechanical external work, kinetic energy transduction

BMI

39.6(0.6)

–

NA

–

Ko et al., 2010, USA [92]

Characteristics of gait

Older adults enrolled in aging research

164 (66%)

Motion analysis, force platform

BMI

 

+

+/−

–

Russell et al., 2010, USA [93]

Energy expenditure & biomechanical risk factors for knee OA

Young adults

20 (50%)

O2 uptake, peak impact shock, peak external knee adduction moment knee adduction angular impulse

BMI

33.09(4.22)

–

NA

–

Blaszczyk et al., 2011, Poland [94]

Basic spatiotemporal gait measures

General population + outpatient obesity treatment clinic

136 (74%)

Stance & swing time, stride length

BMI

37.2(5.2)

+

NA

+

Ehlen et al., 2011, US [95]

Energetics and biomechanics of gait

General population

12 (100%)

Oxygen consumption, ground reaction forces, & three-dimensional lower-extremity kinematics

BMI / %BF: DEXA

33.4(2.4)

NA

NA

–

Cimolin et al., 2011, Italy [96]

Gait pattern

Obese: admits to obesity multidisciplinary rehabilitation program

28 (64%)

Gait Spatio-temporal parameters & kinematics

BMI / WC

OB + LBP: 42.4(5.5), OB - LBP: 39.3

+

NA

–

Russell & Hamill., 2011, US [97]

Obesity × laterally wedged insole effect on gait kinetic and kinematic

Young females

28 (50%)

Peak joint angles, external knee adduction moment & angular impulse

BMI / %BF: DEXA

37.2(6.1)

+

NA

–

Wu et al., 2012, USA [98]

Gait adaptations & implication on risk of slip initiations

Young male students

10 (50%)

Motion analysis, force plate

%BF from BIA / BMI

33.7(2.8)

+/−

NA

–

Harding et al., 2012, Canada [99]

Knee OA × obesity effect on knee joint mechanics

General population + orthopedic clinic admits

244 (72%)

Knee joint angles, joint moment

BMI / *thigh and calf circumference

34.9(4)

+

+

+

Russell et al., 2013, USA [100]

Laterally wedged insoles × obesity effect on knee joint contact force

General population

28 (50%)

Center of pressure on the tibial plateau

BMI / %BF: DEXA

37.2(6.1)

NA

NA

–

Browning et al., 2013, USA [101]

Metabolic rate, stride kinematics & external mechanical work

young females

37 (49%)

Oxygen uptake, ground reaction force, lower extremity kinematics

BMI / %BF: DEXA, *Trunk-to-leg fat mass ratio

33.9(3.6)

–

NA

–

Ranavolo et al., 2013, Italy [102]

Walking coordination during walking

General population

50 (50%)

Motion analysis

BMI / WC, %BF: Siri equation

Range(33.8–44)

+

NA

–

Vismara et al., 2014, Italy [103]

Changes in gait

General population

32 (44%)

Motion analysis

BMI

40.2(3.3)

+

NA

–

Haight et al., 2014, USA [104]

Compressive tibio-femoral forces

General population

19 (47%)

Motion analysis (lower extremity biomechanics), EMG

BMI / %BF: DEXA

35(3.8)

+/−

NA

–

Glave et al., 2014, USA [105]

Gait alterations

General population

22 (50%)

Gait variables

BMI / %BF: DEXA

31.42(7.3)

+

NA

+

Cau et al., 2014, Italy [106]

Gait strategy

Hospital patients for weight reduction programs & staff

35 (57%)

Center of pressure parameters

BMI

43(4.9)

+

NA

–

Lerner et al., 2014, USA [107]

Joint kinematics & individual muscle forces during gait

General population

19 (47%)

Motion analysis, EMG data, ground reaction force

BMI / lean mass (kg): DEXA

35(3.78)

+

NA

–

Disease Prevalence/Incidenc

Kouyoumdjian et al., 2000, Brazil [108]

Severity of Carpal tunnel syndrome

Carpel tunnel syndrome patients

384 (13%)

Case - control study

BMI

 

+

NA

–

Young et al., 2001, USA [109]

Asthma risk

Military population and their families (17-69 yrs)

38,924 (53%)

Case - control study

BMI

 

+

+

–

J. D. Bland., 2005, UK [110]

Age × body mass index effect on carpel tunnel syndrome risk

Hospital admits

4166 (14%)

Self-report CTS diagnosis

BMI

 

+

+

–

Liuke et al., 2005, Finland [111]

Prevalence and progression of lumbar disc degeneration

Employed middle-aged men

129 (50%)

Prospective cohort: MRI imaging

BMI

 

NA

+

–

Dagan et al., 2006, Israel [112]

BMI as a screening method for detection of excessive daytime sleepiness

Professional drivers

153 (100%)

Sleep characteristics

BMI

36.78(7.32)

+

NA

–

Zhao et al., 2007, USA [113]

Osteoporosis

Chinese general population + US Caucasian general population

6477 (0%)

Bone mass at the lumbar spine, total body bone mineral content

BMI / %BF: DEXA

 

+

+

+

Sharifi-Mollayousefi et al., 2008, Iran [114]

BMI as independent risk determinants in the development and severity of Carpal tunnel syndrome

Patients with carpal tunnel syndrome (cases) and their relatives (controls)

262 (50%)

Case-control study

BMI

 

+

NA

–

Grotle et al., 2008, Norway [115]

OA incident in hip, knee, and hand

General population

1675 (35%)

Prospective cohort: OA diagnosis

BMI

 

+

+/−

–

Noorloos et al., 2008, Netherlands [116]

Obesity × whole body vibration effect on risk of LBP

Occupational vehicle drivers

214 (69%)

Low back pain

BMI

 

–

–

–

Toivanen et al., 2010, Finland [117]

Knee OA risk

Finnish adults aged 530 years

823 (39%)

Prospective cohort: OA diagnosis

BMI

 

+

+

–

Vismara et al., 2010, Italy [118]

LBP incidence

General population

37 (70%)

Trunk angle during standing, forward flexion & lateral bending

BMI

LBP:41.9(5.3),Non:39.2(3.6)

+

NA

–

Wood et al., 2011, USA [119]

Pain experienced by persons with chronic back pain

Patients with lower back pain of over 3 months

198 (62%)

Blood pressure, pain level

BMI

 

–

–

–

Ackerman & Osborne., 2012, Australia [120]

Burden of hip & knee joint disease

General population

1157 (55%)

OA diagnosis

BMI

 

+

+

–

Jensen et al., 2012, Denmark [121]

LBP risk factor

Newly educated health care helpers

1355 (41%)

Prospective cohort: Self-reported levels of LBP

BMI

34.8(6.08)

–

–

–

Silvernail et al., 2013, USA [122]

Biomechanical risk factor for knee OA

Yong university and community members

30 (67%)

Gait kinetic & kinematics

BMI / %BF: BIA

34.4(3.9)

–

–

–

Seror & Seror., 2013, France [123]

Incidence of idiopathic median nerve lesion at the wrist

Patients with carpal tunnel syndrome

676 (25%)

Electrophysiological evaluation outcomes

BMI

 

+

+

–

Martin et al., 2013, USA [124]

Knee OA risk factor

British birth cohort participants

2957 (0%)

Knee Osteoarthritis

BMI (z-score)

 

+

NA

–

Romero-Vargas et al., 2013, Mexico [125]

Modifications on spino-pelvic parameters & type of lumbar lordosis

General population

200 (80%)

Spino-pelvic values

BMI / WC

 

–

–

+

Messier et al., 2014, USA [126]

Frontal plane knee alignment × obesity effect on knee joint loads in knee OA

Community dwelling older adults (age > 55 yrs)

157 (100%)

knee osteoarthritis: X-ray at baseline

BMI

33.4(3.7)

+

+

–

Urquhart et al., 2014, Australia [127]

Occupational activities × obesity effect on LBP

General population + weight loss clinic attendees

145 (61%)

Low back pain intensity & disability

BMI

 

+

NA

–

Evanoff et al., 2014, France [128]

Physical occupational exposures × obesity effect on post-retirement shoulder/knee pain

French national power utility employees

9415 (52%)

Retrospective cohort: self-administered questionnaires

BMI

 

+

–

–

Functional Capacity

Hulens et al., 2001, Belgium [129]

Submaximal & maximal exercise capacity

General population

306 (74%)

Oxygen uptake, carbon dioxide production, respiratory quotient, breathing efficiency, mechanical efficiency & anaerobic threshold

BMI / %BF: BIA

38.1(5.6)

+

NA

–

Hulens et al., 2002, Belgium [130]

Peripheral muscle strength

Outpatient Endocrinology Clinic patients

241 (100%)

Trunk strength, peak oxygen consumption

BMI / Fat free and fat mass: BIA

37.5(5.4)

NA

NA

–

Maffiuletti et al., 2007,Switzerland [131]

Voluntary & stimulated fatigue of the quadriceps femoris muscle

Lean: hospital staff, obese: hospital admits for body mass reduction

20 (50%)

Maximal voluntary isometric & isokinetic torque, torque loss

BMI / Fat free mass: BIA

41.3(5.4)

+

NA

–

Segal et al., 2009, USA [132]

Forces on the medial compartment of the knee joint

General population

59 (68%)

knee joint forces

BMI / WHR

Central: 35(4), lower body: 36.4 (5.4)

+/−

NA

+

Capodaglio et al., 2009, Italy [133]

Lower limb muscle function

General population

40 (50%)

Isokinetic strength during knee flexion & extension

BMI

38.1(3.1)

+

NA

+

Singh et al., 2009, USA [134]

Maximum acceptable weights of lift

General population

60 (67%)

MAWL

BMI / WC,WHR,%BF estimated: ST

II: 37.13(1.58) III:47.84(9.85)

–

NA

–

Faria et al., 2009, Portugal [135]

Muscle–tendon unit stiffness

General population

105 (77%)

Ankle muscle–tendon unit stiffness at 30% MVC

BMI

32.1(1.3)

+

+

–

Park et al., 2010, USA [136]

Joint RoM

Young and university affiliated

40 (50%)

RoM

BMI

44(7.4)

+/−

NA

–

Blazek et al., 2013, USA [137]

Age × obesity effect on Knee adduction and flexion moments

General population

96 (38%)

Ground reaction force magnitude, knee alignment, step width, toe-out angle, limb position

BMI

35.3(3.9)

+

NA

–

Cavuoto & Nussbaum., 2013, USA [138]

Age × obesity effect on shoulder capacity

Young: students, old: retired or employed in non-physically demanding jobs

32 (50%)

Endurance, discomfort, motor control, task performance

BMI / WC, WHR

Young: 34.1(2.8), Old: 36.4(3.3)

+

NA

+

Hamilton et al., 2013, USA [139]

BMI × workstation configuration effect on joint angles

General population

30 (80%)

Joint angle, forward functional reach

BMI

I: 32(1.26) II:37(1.73) III:44(4.97)

–

–

–

Mignardot et al., 2013, France [140]

Motor control behavior

General population

20 (60%)

Kinematic variables, Center of mass displacement characteristics

BMI

36.6(3.3)

+

NA

–

Wearing et al., 2013, Australia [141]

Resistance exercise × obesity effect on immediate transverse strain of the Achilles tendon

University faculty

20 (50%)

Sonographic examinations

BMI

30(3.1)

+

+

+

Cavuoto & Nussbaum., 2013, USA [142]

Strength and functional performance

Local community

36 (50%)

Endurance time, strength

BMI / WC,WHR

33.6(3.1)

+/−

NA

+

Cavuoto & Nussbaum., 2014, USA [143]

Age × obesity effect on functional performance

General population

32 (50%)

endurance, discomfort, motor control, task performance

BMI / WC,WHR

Young: 34.3(4), Old: 35.9(3.6)

+

NA

+

Mehta & Cavuoto., 2015, USA [144]

Obesity × age effects on handgrip endurance

General population

45 (44%)

hand grip endurance

BMI

Young: 33.1(3.6),Old:36.1(8.1)

+/−

NA

–

Balance & Plantar Pressure

Hills et al., 2001, Australia [145]

Plantar pressure

General population

70 (50%)

Pressure distribution

BMI

38.75(5.97)

+

NA

+

Gravante et al., 2003, Italy [146]

Centre of pressure location & plantar pressures

General population

72 (53%)

Centre of pressure location, plantar ground contact surface areas & pressures

BMI / WHR

M:36(7.4), F:38(6.8)

+/−

NA

–

Birtane & Tuna., 2004, Turkey [147]

Plantar pressure distribution

General population

50 (50%)

Pedobarographic evaluations

BMI

32.2(2)

+

NA

–

Berrigan et al., 2006, Canada [148]

Balance control constraint during accurate and rapid arm movement

General population

17 (53%)

Body kinematics, center of pressure, displacement, reaction time, movement time

BMI

37(6.6)

+

NA

–

Teh et al., 2006, Singapore [149]

Pressure distribution under the feet

General population

120 (42%)

Plantar pressure distribution

BMI

I: 34.3 II: 38.9(3.6)

+/−

NA

–

Singh et al., 2009, USA [150]

obesity × task duration effect on postural sway and functional reach

Students & sedentary office workers

20 (50%)

Posture sway, functional reach

BMI / WHR

45.96(7.85)

+

NA

–

Blaszczyk et al., 2009, Poland [151]

Postural control

Obesity treatment clinic patients

133 (75%)

CP measures: voluntary displacement, path, range

BMI / %BF: BIA, WC,HC

37.2(5.2)

–

NA

–

Park et al., 2009, USA [152]

Postural stress during static posture maintenance

General population

40 (50%)

Rated perceived exertion

BMI / WHR,%BF estimated: ST

46.26(4.99)

+

NA

–

Menegoni et al., 2009, Italy [153]

Static posture variability

Orthopedic Rehabilitation Unit patients and staff (control)

54 (81%

Center of pressure velocity & displacements along the antero-posterior & medio-lateral axis

BMI

M:40.2(5), F: 41.1(4.1)

+

NA

+

Monteiro et al., 2010, Portugal [154]

Plantar pressure

Postmenopausal women

239 (79%)

Foot-scan pressure plate

%BF from BIA / BMI

29.6(3.2), 36.4(3.8)

+/−

NA

–

Miller et al., 2011, USA [155]

Balance recovery from small forward postural perturbations

Young adults (22 years old)

20 (50%)

Peak COM displacement, peak COM velocity, peak ankle torque

BMI

33.2(2.3)

–

NA

–

Matrangola & Madigan., 2011, USA [156]

Balance recovery using an ankle strategy

Young males

20 (50%

Body angle, ground reaction force

BMI

32.2(2.2)

+/−

NA

–

Peduzzi de Castro et al., 2014, Portugal [157]

Pressure relief insoles

General population

31 (32%)

Ground reaction force, plantar pressure

BMI

36.5(4.51)

+

NA

–

Task Functionality

Galli et al., 2000, Italy [158]

Motion strategies: sit-to-stand

General population + obese subjects suffering from chronic lower back pain

40 (75%)

Movement kinetics & kinematics

BMI

40(5.9)

+

NA

–

Sibella et al., 2003, Italy [159]

Biomechanical model: sit-to-stand

Hospital recovers

50 (80%)

Trunk flexion, feet movement, knee & hip joint torques

BMI

37.9(4.9)

+

NA

–

Lafortuna et al., 2006, Italy [160]

Energy cost of submaximal cycling

Lean: hospital staff, obese: hospital admits for body mass reduction

18 (50%)

Oxygen uptake, Vo2 max, anaerobic threshold, mechanical efficiency

BMI / %BF: BIA

40(1.2)

+

NA

–

Gilleard & Smith., 2007, Australia [161]

Postural adaptations: trunk forward flexion motion in sitting and standing

General Population

20 (50%)

Trunk flexion motion during forward flexion, trunk posture, hip joint moment

WC / BMI

38.9(6.6)

+/−

NA

–

Xu et al., 2008, USA [162]

Lifting kinematics & kinetics

College students

12 (50%)

Motion analysis

BMI

33.28 (30.4–38.8)

–

NA

+

Taboga et al., 2012, Italy [163]

Mechanical work, energy cost of transport, and efficiency: running

Hospital admits-adults from metabolic disorders

25 (40%)

Oxygen uptake, kinematics, center of mass location

BMI / %BF: BIA

41.5(5.3)

+

NA

–

Hendrick et al., 2012, USA [164]

Neural processes of cognitive control: stop signal test

General population

43 (30%)

Functional magnetic resonance imaging

BMI

33.2(2.6)

+

NA

+

Singh et al., 2013, USA [165]

Contact forces & moments exerted by the abdomen on the thigh: seated reaching

Older adults

10 (100%)

Motion analysis, force plate

BMI / WC

39.04(5.02)

+/−

NA

+

Schmid et al., 2013, Switzerland [166]

Kinetic & kinematic variables: sit-to-stand test.

Going to attend a weight loss program at hospital

36 (72%)

Vertical ground reaction forces, rising velocity (motion analysis)

BMI

I: 32.68(1.53), II: 39.42(2.71)

–

+/−

–

Pysiological Responses

Willenberg et al., 2010, Switzerland [167]

Venous flow parameters of the lower limbs

Students and medical staff

45 (49%)

Venous hemodynamics: Diameter, flow volume, peak, mean, & minimum velocities

BMI / WHR, WC

36.2(5.9)

+

NA

+

Engelberger et al., 2014, Switzerland [168]

Diurnal leg volume increase

Obese subjects: weight management clinic patients, general population

39 (62%)

Common femoral vein diameter, peak flow velocity, mean velocity & minimal velocity

BMI / WHR

40.2(5.9)

+

NA

–

Yang et al., 2015, China [169]

Acute high-altitude exposure

Chinese railroad construction workers

262 (46%)

Acute mountain sickness

BMI

29.9(3.8)

–

NA

–

Miscellaneous

Menegoni et al., 2007, Italy [170]

Clinical protocol to characterize the trunk movements

Lean: hospital staff, obese: hospital admits for diet therapy and exercise classes

20 (50%)

 

BMI

38.7(3.5)

NA

NA

–

Forman et al., 2009, USA [171]

Restraint of automobile occupants

Post mortem human surrogates

5 (40%)

Chest deformation, acceleration, tension in the restraint system, etc.

BMI

40

+

NA

–

Lerner et al., 2014, USA [172]

Obesity-specific kinematic marker set to account for subcutaneous adiposity

General population

18 (50%)

Ground reaction force, walking kinematics, EMG

BMI

35(3.78)

NA

NA

–

Thorp et al., 2014, Australia [173]

Standing workstations effect on fatigue, musculoskeletal discomfort & work productivity

Middle-aged sedentary employees

23 (100%)

Self-reported fatigue, musculoskeletal discomfort, work productivity

BMI

33.7(4.3)

+

+

–

  1. For primary obesity measure, Bolded measure indicates that a cut-off other than the common cut-offs are used and underlined measure indicates that measurement has been based on self-reported data. For study subjects, bolded indicates that only females were included as subjects and underlined shows that males were the only subjects. A bolded outcome variables/method indicates that obesity status had been considered as continuous variable while underlined bolded indicates that it had been considered both as a continuous and categorical variable