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Dive into the research topics where Maxwell Fordjour Antwi-Afari is active.

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Featured researches published by Maxwell Fordjour Antwi-Afari.


International Archives of Occupational and Environmental Health | 2018

The prevalence of musculoskeletal symptoms in the construction industry: a systematic review and meta-analysis

Waleed Umer; Maxwell Fordjour Antwi-Afari; Heng Li; Grace P.Y. Szeto; Arnold Y.L. Wong

PurposeAlthough individual studies have reported high prevalence of musculoskeletal symptoms (MSS) among construction workers, no systematic review has summarized their prevalence rates. Accordingly, this systematic review/meta-analysis aimed to synthesize MSS prevalence in different construction trades, gender and age groups, which may help develop specific ergonomic interventions.MethodsNine databases were searched for articles related to the research objective. Two reviewers independently screened citations, extracted information and conducted quality assessment of the included studies. Meta-analyses were conducted on clinical and statistical homogenous data.ResultsThirty-five out of 1130 potential citations were included reporting diverse types of period prevalence and case definitions. Only the 1-year prevalence rates of MSS (defined as at least one episode of pain/MSS in the last year) at nine anatomical regions had sufficient homogeneous data for meta-analysis. Specifically, the 1-year prevalence of MSS was 51.1% for lower back, 37.2% for knee, 32.4% for shoulder, 30.4% for wrist, 24.4% for neck, 24.0% for ankle/foot, 20.3% for elbow, 19.8% for upper back, and 15.1% for hip/thigh. Female workers demonstrated a higher prevalence of MSS while there was insufficient information on the prevalence of trade-specific or age-related MSS. The quality assessments revealed that many included studies estimated prevalence solely based on self-reported data, and did not report non-respondents’ characteristics.ConclusionsLumbar, knee, shoulder, and wrist MSS are the most common symptoms among construction workers. Future studies should standardize the reporting of period prevalence of MSS in different construction trades to allow meta-analyses and to develop relevant MSS prevention program.


Africa Education Review | 2018

Tertiary Educational Infrastructural Development in Ghana: Financing, Challenges and Strategies

Edward Badu; Ernest Kissi; Emmanuel Bannor Boateng; Maxwell Fordjour Antwi-Afari

ABSTRACT Education is the mainstay of the development of any nation; and in developing countries it has become the backbone of human resource development, ensuring effective growth of the economy; however, its corresponding infrastructure development is lacking. Governments around the globe are finding it difficult to provide the needed infrastructure. Arguably, infrastructure development has become a benchmark for the measurement of the level of growth of the economy of developed and developing countries. Consequently, this study aimed to explore the financing mechanisms, challenges and strategies for educational infrastructural development in tertiary education in Ghana. The study adopted the quantitative paradigm to gather data from educationists, finance officers and students. Data generated from the survey was analysed, using descriptive statistics. Findings from the analysis indicated public private partnerships such as build-operate-transfer, build-own-operate, management contracts, service contracts, leases, traditional design-build and turnkey operations are among various options for which educational infrastructure development can be administered. This article suggests that the need to adopt these forms of finance approaches to cater for the growing population is desirable for effective management and administration of tertiary educational infrastructure in developing countries.


International Journal of Building Pathology and Adaptation | 2017

Effects of different weights and lifting postures on balance control following repetitive lifting tasks in construction workers

Maxwell Fordjour Antwi-Afari; Heng Li; David J. Edwards; Erika Parn; JoonOh Seo; Arnold Y.L. Wong

Purpose n n n n nRepetitive lifting tasks have detrimental effects upon balance control and may contribute toward fall injuries, yet despite this causal linkage, risk factors involved remain elusive. The purpose of this paper is to evaluate the effects of different weights and lifting postures on balance control using simulated repetitive lifting tasks. n n n n nDesign/methodology/approach n n n n nIn total, 20 healthy male participants underwent balance control assessments before and immediately after a fatiguing repetitive lifting tasks using three different weights in a stoop (ten participants) or a squat (ten participants) lifting posture. Balance control assessments required participants to stand still on a force plate with or without a foam (which simulated an unstable surface) while center of pressure (CoP) displacement parameters on the force plate was measured. n n n n nFindings n n n n nResults reveal that: increased weight (but not lifting posture) significantly increases CoP parameters; stoop and squat lifting postures performed until subjective fatigue induce a similar increase in CoP parameters; and fatigue adversely effected the participant’s balance control on an unstable surface vis-a-vis a stable surface. Findings suggest that repetitive lifting of heavier weights would significantly jeopardize individuals’ balance control on unstable supporting surfaces, which may heighten the risk of falls. n n n n nOriginality/value n n n n nThis research offers an entirely new and novel approach to measuring the impact that different lifting weights and postures may have upon worker stability and consequential fall incidents that may arise.


Construction Innovation: Information, Process, Management | 2018

Identification of potential biomechanical risk factors for low back disorders during repetitive rebar lifting

Maxwell Fordjour Antwi-Afari; Heng Li; David J. Edwards; Erika Parn; De-Graft Owusu-Manu; JoonOh Seo; Arnold Yu Lok Wong

Purpose n n n n nWork-related low back disorders (LBDs) are prevalent among rebar workers although their causes remain uncertain. The purpose of this study is to examine the self-reported discomfort and spinal biomechanics (muscle activity and spinal kinematics) experienced by rebar workers. n n n n nDesign/methodology/approach n n n n nIn all, 20 healthy male participants performed simulated repetitive rebar lifting tasks with three different lifting weights, using either a stoop (n = 10) or a squat (n = 10) lifting posture, until subjective fatigue was reached. During these tasks, trunk muscle activity and spinal kinematics were recorded using surface electromyography and motion sensors, respectively. n n n n nFindings n n n n nA mixed-model, repeated measures analysis of variance revealed that an increase in lifting weight significantly increased lower back muscle activity at L3 level but decreased fatigue and time to fatigue (endurance time) (p < 0.05). Lifting postures had no significant effect on spinal biomechanics (p < 0.05). Test results revealed that lifting different weights causes disproportional loading upon muscles, which shortens the time to reach working endurance and increases the risk of developing LBDs among rebar workers. n n n n nResearch limitations/implications n n n n nFuture research is required to: broaden the research scope to include other trades; investigate the effects of using assistive lifting devices to reduce manual handling risks posed; and develop automated human condition-based solutions to monitor trunk muscle activity and spinal kinematics. n n n n nOriginality/value n n n n nThis study fulfils an identified need to study laboratory-based simulated task conducted to investigate the risk of developing LBDs among rebar workers primarily caused by repetitive rebar lifting.


Advanced Engineering Informatics | 2018

Quantifying the physical intensity of construction workers, a mechanical energy approach

Liulin Kong; Heng Li; Yantao Yu; Hanbin Luo; Martin Skitmore; Maxwell Fordjour Antwi-Afari

Construction workers typically undertake highly demanding physical tasks involving various types of stresses from awkward postures, using excessive force, highly repetitive actions, and excessive energy expenditure, which increases the likelihood of unsafe actions, productivity loss, and human errors. Biomechanical models have been developed to estimate joint loadings, which can help avoid strenuous physical exertion, potentially enhancing construction workforce productivity, safety, and well-being. However, the models used are mainly in 2D, or to predict static strength ignored their velocity and acceleration or using marker-based method for dynamic motion data collection. To address this issue, this paper proposes a novel framework for investigating the mechanical energy expenditure (MEE) of workers using a 3D biomechanical model based on computer vision-based techniques. Human 3D Pose Estimation algorithm based on 2D videos is applied to approximate the coordinates of human joints for working postures, and smart insoles are used to collect foot pressures and plantar accelerations, as input data for the biomechanical analyses. The results show a detailed MEE rate for the whole body, at which joints the maximum and minimum values were obtained to avoid excessive physical exertion. The proposed method can approximate the total daily MEE of construction tasks by summing the assumed cost of individual tasks (such as walking, lifting, and stooping), providing suggestions for the design of a daily workload that workers can sustain without developing cumulative fatigue.


Advanced Engineering Informatics | 2018

Fall risk assessment of construction workers based on biomechanical gait stability parameters using wearable insole pressure system

Maxwell Fordjour Antwi-Afari; Heng Li

Abstract Falls on the same level are a leading cause of non-fatal injuries in the construction industry, and loss of balance events are the primarily contributory risk factors associated with workers’ fall injuries. Previous studies have indicated that changes in biomechanical gait stability parameters provide substantial safety gait metrics for assessing workers’ fall risks. However, scant research has been conducted on changes in biomechanical gait stability parameters based on foot plantar pressure patterns to assess workers’ fall risks. This research examined the changes in spatial foot regions and loss of balance events associated with biomechanical gait stability parameters based on foot plantar pressure patterns measured by wearable insole pressure system. To test the hypotheses of this study, ten asymptomatic participants conducted laboratory simulated loss of balance events which are often initiated by extrinsic fall risk factors. Our results found: (1) statistically significant differences in biomechanical gait stability parameters between spatial foot regions, especially with the peak pressure parameter; and (2) statistically significant differences in biomechanical gait stability parameters between loss of balance events when compared to normal gait (baseline), especially with the pressure-time integral parameter. Overall, the findings of this study not only provide useful safety gait metrics for early detection of specific spatial foot regions but also allow safety managers to understand the mechanism of loss of balance events in order to implement proactive fall-prevention strategies.


Automation in Construction | 2017

Biomechanical analysis of risk factors for work-related musculoskeletal disorders during repetitive lifting task in construction workers

Maxwell Fordjour Antwi-Afari; Heng Li; David J. Edwards; Erika Parn; JoonOh Seo; Arnold Yu Lok Wong


Construction Research Congress 2018 | 2018

Wearable Insole Pressure Sensors for Automated Detection and Classification of Slip-Trip-Loss of Balance Events in Construction Workers

Maxwell Fordjour Antwi-Afari; Heng Li; JoonOh Seo; SangHyun Lee; David J. Edwards; Arnold Yu Lok Wong


Automation in Construction | 2018

Automated detection and classification of construction workers' loss of balance events using wearable insole pressure sensors

Maxwell Fordjour Antwi-Afari; Heng Li; JoonOh Seo; Arnold Yu Lok Wong


Automation in Construction | 2018

Wearable insole pressure system for automated detection and classification of awkward working postures in construction workers

Maxwell Fordjour Antwi-Afari; Heng Li; Yantao Yu; Liulin Kong

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Heng Li

Hong Kong Polytechnic University

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David J. Edwards

Birmingham City University

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Erika Parn

Birmingham City University

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JoonOh Seo

University of Michigan

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Arnold Yu Lok Wong

Hong Kong Polytechnic University

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De-Graft Owusu-Manu

Kwame Nkrumah University of Science and Technology

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Arnold Y.L. Wong

Hong Kong Polytechnic University

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Liulin Kong

Hong Kong Polytechnic University

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Yantao Yu

Hong Kong Polytechnic University

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Edward Badu

Kwame Nkrumah University of Science and Technology

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