Association of cognitive impairment with sleep quality, depression and cardiometabolic risk factors in individuals with type 2 diabetes mellitus: A cross sectional study

Krishnaraj²,

Irfan³

2022

Front. Public Health

Approximately 21% of the workers in developing and developed countries are shift laborers. The laborer's work shifts can affect personal life and sleep standards, adversely impacting laborers and their manage. This study assesses the impact of various shift plans (seven evenings/7 days, fixed-night or fixed-day, and backup shifts) on shift laborers, considering four shift schedules. Most laborers were on rotational shifts, whereas others were on a permanent day, permanent night, and standby shifts. In a cross-sectional study, 45 development laborers from the National Construction firm were enlisted. Bio-wearable sensors were provided to monitor sleep. Participants were approached and asked to complete a survey bundle comprising the Pittsburgh sleep quality index (PSQI) and Epworth sleepiness scale (ESS). Differences in sleep models were estimated using a Fitbit watch at various shift schedules. The average age of laborers who participated in the study was 37.5 years, and their average experience in the construction company was 6.5 years. The average total sleep time was 346 ± 46 min. The rotational shift laborers yielded the minimum total sleep time compared to the average PSQI and ESS scores of 7.66 ± 1.3 and 6.94 ± 3.4, respectively. Fifteen shift laborers (33.33%) were affected by a sleeping disorder in the present experimental investigation, and 30 participants had inadequate standards of sleep based on the PSQI scores. Poor sleep quality and duration among construction shift laborers decrease productivity at work. Additional studies are expected to assess sleep-related issues affecting construction shift laborers.

Section: Introductionmentioning

confidence: 99%

RETRACTED: Evaluation of sleep quality and duration using wearable sensors in shift laborers of construction industry: A public health perspective

Krishnaraj²,

Irfan³

2022

Front. Public Health

“…This gap renders an appraisal of the prevalence of poor sleep quality among construction workers (labourers) within India (Li et al, 2022), imperative. Previous studies highlight the importance of sleep, whereas this study determines the sleep quality experienced by individuals (Gupta et al, 2021;Fabbri et al, 2021). This study is useful among construction workers to improve productivity, health and wellbeing at work.…”

Section: Introductionmentioning

confidence: 94%

“…, 2022), imperative. Previous studies highlight the importance of sleep, whereas this study determines the sleep quality experienced by individuals (Gupta et al. , 2021; Fabbri et al.…”

Section: Introductionmentioning

confidence: 99%

An assessment of prevalence of poor sleep quality among construction workers in Southern India

Krishnaraj²,

Awuzie³

2022

BEPAM

PurposeSleep quality has been associated with health and safety issues influencing construction labour productivity in developing countries. Despite its significantly adverse contribution to these facets if left unattended to, limited studies have sought to establish its prevalence and causal factors in labour-intensive contexts. This study aims to bridge the gap between the prevalence and casual factors of poor sleep quality among construction workers.Design/methodology/approachAdopting a case study research design, data were collected from a randomly selected sample of construction workers (n = 475) recruited from four construction-based corporations in Southern India. Self-administered questionnaires comprising a Pittsburgh Sleep Quality Index (PSQI) scale was used to measure sleep quality among respondents alongside demographic characteristics, lifestyle preferences and work-habits data. Data were analysed using multivariate logistic regression analysis and descriptive statistical techniques.FindingsSlightly more than a third of the construction workers (n = 33.9%) surveyed experienced poor sleep quality based on a PSQI method score of = 5. Also, the nexus between demographic characteristics, lifestyle preferences and work habits on the incidence of poor sleep quality among construction workers was confirmed.Practical implicationsThe study contributes to the contemporary discourse on improving sleep health of construction workers to enhance their well-being thereby enabling their contribution towards achieving improved construction labour productivity.Originality/valueThis study makes an original contribution to the extent that it seeks to not only determine the prevalence of sleep quality within the construction industry and associated causal factors but to explore its implications on construction labour productivity.

“…no. Factors Tag References 1 Age A1 3 , 18 , 19 2 Gender A2 4 , 37 , 46 3 Body mass index A3 3 , 30 , 43 4 Alcohol consumption and smoking A4 31 , 44 5 Educational level A5 17 , 20 6 Training and experience A6 3 , 21 , 23 , 24 7 Health status A7 13 , 42 , 47 , 48 8 Psychological behavior A8 32 , 33 9 Worker location A9 26 , 46 …”

Section: Literature Reviewmentioning

confidence: 99%

“…However, despite the development and implementation of various safety regulations and guidelines, accidents and fatalities still occur within project delivery environments 1 – 3 . One major contributing factor to such incidents is unsafe behavior among construction workers 4 , 5 .…”

Section: Introductionmentioning

confidence: 99%

Establishing the root causes of unsafe behaviors among construction workers: an integrative interpretive structural modeling analysis

Krishnaraj

Awuzie

2023

Sci Rep

There has been a significant decline in worker productivity at construction sites globally owing to the increase in accidents and fatalities due to unsafe behavior among workers. Although many studies have explored the incidence of unsafe behaviors among construction workers, limited studies have attempted to evaluate the causal factors and to determine the root causes. An integrative interpretive structural modeling analysis of the interrelationships that exist between these causal factors established from relevant literature was conducted in this study to determine the root factors hence bridging this gap. Fifteen causal factors were identified through literature review, and the nature of interrelationships between them was determined using interpretive structural modeling (ISM) and a Cross-impact matrix multiplication applied to classification (MICMAC) analysis. Data was obtained from a purposively selected cohort of experts using semi-structured interviews. The emergent data was subsequently analyzed using the ISM and MICMAC analysis to ascertain the interrelationships between the causal factors. The results of the study showed that age, sleep quality, degree of interaction and workers’ skillsets were the root causes of unsafe behavior among construction workers. Besides engendering the establishment of the root causes of unsafe behavior among construction workers, the results of this study will facilitate the prioritization of appropriate solutions for tackling the menace.