Indoor air quality and reported health symptoms among hair dressers in salons in Ibadan, Nigeria

Ana, Godson; Alli, Abosede S.; Uhiara, Daniel C.; Shendell, Derek G.

doi:10.1016/j.jchas.2018.09.004

Cited by 17 publications

(15 citation statements)

References 25 publications

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“…Indoor air pollution (IAP) is a leading environmental risk closely related to the health, comfort, and well-being of building occupants [ 1 ]. As people spend 90% of their time indoors, repeated exposure to indoor air pollutants affects people’s working performance and productivity levels [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review

Saini

Dutta

Marques

2020

IJERPH

129

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Indoor air quality has been a matter of concern for the international scientific community. Public health experts, environmental governances, and industry experts are working to improve the overall health, comfort, and well-being of building occupants. Repeated exposure to pollutants in indoor environments is reported as one of the potential causes of several chronic health problems such as lung cancer, cardiovascular disease, and respiratory infections. Moreover, smart cities projects are promoting the use of real-time monitoring systems to detect unfavorable scenarios for enhanced living environments. The main objective of this work is to present a systematic review of the current state of the art on indoor air quality monitoring systems based on the Internet of Things. The document highlights design aspects for monitoring systems, including sensor types, microcontrollers, architecture, and connectivity along with implementation issues of the studies published in the previous five years (2015–2020). The main contribution of this paper is to present the synthesis of existing research, knowledge gaps, associated challenges, and future recommendations. The results show that 70%, 65%, and 27.5% of studies focused on monitoring thermal comfort parameters, CO2, and PM levels, respectively. Additionally, there are 37.5% and 35% of systems based on Arduino and Raspberry Pi controllers. Only 22.5% of studies followed the calibration approach before system implementation, and 72.5% of systems claim energy efficiency.

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Section: Introductionmentioning

confidence: 99%

Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review

Saini

Dutta

Marques

2020

IJERPH

129

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“…6,12 The presence of a high concentration of CO 2 , particulate matter, and TVOC in the indoor beauty salon affects the comfort, health, and productivity of beauty salon workers. 2,13 The concentration of these pollutants and comfort parameters in the beauty salon is affected by the type, number, and frequency of the services. 7,14,15 The Occupational health and indoor air quality problem in the beauty salon is evident because of toxic chemicals' generation to indoor air that harms workers and customers.…”

Section: Introductionmentioning

confidence: 99%

“…18 The high prevalence of respiratory symptoms among nail salon workers was also reported with a likely association with nail care products. 3,13 Evidence also shows the association of particulate matter to cardiovascular and respiratory health problems 20,21 among workers working in the low ai quality beauty salon. 6,13 Total volatile organic compounds are a total sum amount of all TVOCs in the air, and its measurement is sufficient for evaluating indoor air quality.…”

Section: Introductionmentioning

confidence: 99%

Non-Combustible Source Indoor Air Pollutants Concentration in Beauty Salons and Associated Self-Reported Health Problems Among the Beauty Salon Workers

Tagesse¹,

Deti²,

Dadi³

et al. 2021

RMHP

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Background: Cosmetic products emits Total Volatile Organic Compound (TVOC) and Particulate Matter with an aerodynamic diameter of 10 micrometers (PM 10 ) of different sizes and characteristics with adverse health effects. Despite the increasing need for cosmetic products, related pollutants level of concentration from beauty salon is not well understood in developing countries. Objective: This study aims to assess indoor air pollutant concentrations in the beauty salon and self-reported health problems among the salon workers in Jimma town. Methods: A cross-sectional study design was used on 87 beauty salons from May 13-24, 2019. The concentrations of PM 10, TVOCs, CO 2 , room temperature, and relative humidity were measured and triangulated with the survey data collected through measurements and questionnaires. A statistical software package, SPSS v.21, was used to analyze the data. A binary logistic regression was used to analyze categorical data and linear regressions to predict pollutants level and associated health outcomes. Results:The results show that 93.1% of the respondents are females, and 85% were below 30 years old. More than 60% of the respondents were married individuals. 56.3% and 44.8% of the workers work over 10 hours per day and work the whole week. 34.6% of the workers reported as worked during pregnancy. About 70% of the workers know the harmful effects of cosmetics, benefits of ventilation, and Personal Protective Equipment (PPE) use, but only 19.4% use face masks. The majority (88.5%) reported health problems after starting work in the beauty salon. The mean volume of the beauty salon was 36.3 m 3, with a mean PM 10 concentration of 0.465 mg/m 3 and a mean TVOC concentration of 1034.2 µg/m 3 . These air pollutants have shown a statistically significant association with self-reported health problems. Hence, urgent intervention with subsequent continuous awareness creation is needed to reduce the health consequences of a beauty salon's indoor air pollutants.

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“…Indoor air pollution is a leading environmental risk, which affects people’s working performance, comfort, health, and well-being [1,2,3]. People spend around 90% of their time indoors, and human exposure to indoor air pollutants may occasionally be more than 100 times higher than outdoor pollutant levels [4].…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, exposure to poor indoor air also increases numerous adverse health problems, such as nausea, headaches, skin irritation, sick building syndrome, kidney failure, and even cancer [1,3,6]. The World Health Organization (WHO) estimates that 700,000 people per year die from poor breathing conditions [7].…”

Section: Introductionmentioning

confidence: 99%

Indoor Air-Quality Data-Monitoring System: Long-Term Monitoring Benefits

Sun

Zheng

Villalba-Díez

et al. 2019

Sensors

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Indoor air pollution has been ranked among the top five environmental risks to public health. Indoor Air Quality (IAQ) is proven to have significant impacts on people’s comfort, health, and performance. Through a systematic literature review in the area of IAQ, two gaps have been identified by this study: short-term monitoring bias and IAQ data-monitoring solution challenges. The study addresses those gaps by proposing an Internet of Things (IoT) and Distributed Ledger Technologies (DLT)-based IAQ data-monitoring system. The developed data-monitoring solution allows for the possibility of low-cost, long-term, real-time, and summarized IAQ information benefiting all stakeholders contributing to define a rich context for Industry 4.0. The solution helps the penetration of Industrial Internet of Things (IIoT)-based monitoring strategies in the specific case of Occupational Safety Health (OSH). The study discussed the corresponding benefits OSH regulation, IAQ managerial, and transparency perspectives based on two case studies conducted in Spain.

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Indoor air quality and reported health symptoms among hair dressers in salons in Ibadan, Nigeria

Cited by 17 publications

References 25 publications

Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review

Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review

Non-Combustible Source Indoor Air Pollutants Concentration in Beauty Salons and Associated Self-Reported Health Problems Among the Beauty Salon Workers

Indoor Air-Quality Data-Monitoring System: Long-Term Monitoring Benefits

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