SleepNCT05974709
Factors Affecting Sleep Quality in Office Workers
An observational study of Sleep and Work Related Stress, run by Çankırı Karatekin University at 1 site in Turkey (Türkiye).
Trial summary
This study will focus on the relationship between pillow and mattress factors, musculoskeletal disorders and sleep quality in office workers. Sleep is vital to physical and mental health, and poor sleep can negatively affect cognitive function and workplace performance. Read more about this study
- Who is it for?
- Ages 18 to 55 yearsHealthy volunteers can take part
- Conditions the study is for
- Sleep, Work Related Stress, Musculoskeletal Pain
- How many people
- 587 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 1 Aug 2023to 15 Oct 2023
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 55 years
- All sexes
- Healthy volunteers accepted
- Adult
Study population: Office workers from diverse workplace environments, aged 18 years and above, with a minimum employment duration or professional experience, who are willing to participate in the study and able to understand and complete the self-report questionnaires accurately.
Who may be able to join
- Participants must be office workers.
- Participants should be at least 18 years old.
- Participants should have a minimum employment duration or professional experience.
- Participants should be willing to provide informed consent to participate in the study.
- Participants should be able to understand and complete the self-report questionnaires accurately.
Who cannot join
- Individuals who are not office workers (e.g., manual laborers, non-office-based professionals) would be excluded.
- Individuals under the age of 18 would be excluded.
- Individuals with cognitive impairments or communication difficulties that prevent them from accurately completing the self-report questionnaires would be excluded.
- Individuals who are unable or unwilling to provide informed consent would be excluded.
- Individuals with pre-existing sleep disorders or medical conditions that significantly impact sleep quality would be excluded, as they may confound the study results.
- Pregnant women or individuals with significant health conditions that affect sleep (e.g., sleep apnea, chronic pain) excluded to minimize confounding variables.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Factors Affecting Sleep Quality in Office Workers: A Cross-Sectional Study Investigating Pillow and Mattress Factors and Musculoskeletal Symptoms.
This study will focus on the relationship between pillow and mattress factors, musculoskeletal disorders and sleep quality in office workers. Sleep is vital to physical and mental health, and poor sleep can negatively affect cognitive function and workplace performance. Office workers, who often work in sedentary jobs, are particularly prone to sleep disorders. Recognizing the factors that contribute to poor sleep in this population is crucial for developing interventions to improve sleep quality.
The study used a cross-sectional design and will collect data from an appropriate sample of office workers (Approximately 600 participants). Various variables will be assessed, including sociodemographic characteristics, sleep-related factors (to be measured using the Pittsburgh Sleep Quality Index), pillow characteristics, mattress-related factors, musculoskeletal symptoms, and physical activity levels (to be measured using the International Physical Activity Questionnaire).
Read more
Descriptive statistics and multiple regression analysis will be performed to analyze the data and identify factors affecting sleep quality. Fixed fixes for potential confounders and modifiers. The study aims to identify specific components of the sleep environment related to sleep disorders.
The findings of this study will contribute to the understanding of how pillow and mattress factors, along with other variables, affect sleep quality in office workers. The results may provide information for interventions aimed at improving sleep habits, optimizing the sleep environment, and improving overall well-being in this population. As a result, promoting good sleep health among office workers can have positive effects on productivity, safety and overall quality of life.
Read the detailed description
INTRODUCTION
Sleeping is an important part of human life, but there is still a lot of mystery surrounding the relationship between the brain and the process of sleeping. Recent research has concluded that sleeping has much more impact on the brain than previously thought, as it resets itself and removes toxic waste byproducts which may have accumulated throughout the day. Sleeping improves memory recall, helps regulate the metabolism in the body, and reduces mental fatigue. Chronic sleep loss is a serious concern, as it can be constrained by the lack of sleep.
Sleep plays a critical role in physical health, regulating immune system functions and reducing the risk of infections. Poor sleep can weaken immune function, making individuals more susceptible to illnesses. Over the past decade, research has shown that disturbances of sleep, including insomnia complaints and extremes of sleep duration, adversely influence the risk of infectious and inflammatory disease and contribute to all-cause mortality. These findings have substantial public health implications, as 25% of the population report insomnia complaints and 10% meet diagnostic criteria for chronic insomnia. Behavioral treatments have robust efficacy, with remission of insomnia sustained in the long term. Research on sleep and health has focused on the biological mechanisms underlying these effects, which could identify those at greatest risk for adverse health consequences or be targeted to attenuate or even prevent morbidity. Furthermore, sleep is intricately linked to physical health and vitality. It contributes to the restoration and repair of various bodily systems, including the cardiovascular, musculoskeletal, and metabolic systems. Sleep loss is a common condition in developed countries, with people sleeping on average 6.8 hours per night, 1.5 hours less than a century ago. Recent epidemiological studies have revealed relationships between sleep deprivation and hypertension, coronary heart disease, and diabetes mellitus. Sleep loss has been linked to hypertension, coronary heart disease, and diabetes mellitus.
Office workers, who typically engage in sedentary work activities and spend a significant portion of their day in indoor environments, are particularly prone to sleep disturbances. Sedentary behavior is becoming an important risk factor for poor health and mortality. Population research has found that as sitting or television viewing time increases, there is an increased cardiometabolic risk, independent of moderate/vigorous physical activity (MVPA). High accelerometer-determined sedentary time has been linked to metabolic and cardiovascular risk factors in healthy adults, and prolonged or uninterrupted sedentary time has been found to be a risk factor for poor health. With the evolution of the "technology age", sedentary time is reported to be increasing due to the shift towards reduced MVPA required in occupations traditionally requiring MVPA and the increasing percentage of office workers employed in low-activity occupations. While sedentary office workers may be less exposed to many of the hazards associated with more physically demanding occupations, they may gain less of the beneficial MVPA and be exposed to more of the potentially detrimental prolonged and uninterrupted sedentary behavior.
Office workers who have sleep issues may face significant effects on their daily functioning and general quality of life. Insufficient or poor quality sleep can affect cognitive function, including the ability to pay attention, concentrate, solve problems, and make decisions. This can lower productivity, increase errors and accidents, and decrease job performance and satisfaction. Furthermore, it can have a significant impact on mental health, including an increased risk of anxiety, depression, and emotional instability. Sleep habits and workplace behaviors have a significant impact on employee performance, safety, and health, as well as organizational-level success. It is important to understand how sleep habits and sleepiness impact workers and the organization and to emphasize the impact of good sleep on productivity and safety.
Recognizing the importance of sleep and the unique challenges that office employees encounter is critical for resolving sleep disorders in this demographic. Understanding the factors that contribute to poor sleep quality among office employees allows for the development of interventions that encourage good sleep habits, optimize the sleep environment, and improve overall well-being. Education on sleep hygiene, promotion of physical exercise and mobility breaks during the workday, ergonomic workstations, and improved lighting conditions in office environments are some of the targeted measures. Office workers can improve their cognitive functioning, physical health, and general quality of life by emphasizing sleep health. Sleep problems are linked to accidents, productivity losses, and increased healthcare utilization, resulting in $15 billion in healthcare costs each year 15. Poor quality sleep can lead to accidents, productivity losses, and increased healthcare utilization.
Sleep disturbances are widespread among office workers, and recognizing the factors that contribute to these disturbances is critical for devising effective therapies to improve sleep quality in this population. The sleep environment, including pillow and mattress features, has a major impact on sleep quality.
Pillows and mattresses are important sleep environment components that have a direct impact on sleep posture, comfort, and spinal alignment. The selection of an appropriate pillow and mattress is critical for supporting the natural curvature of the spine and ensuring optimal comfort when sleeping. Inadequate pillow and mattress qualities can cause discomfort, pain, and sleep disruptions. Mattress firmness plays a leading role in reducing pain in individuals complaining of back pain. Companies are promoting mattresses with therapeutic properties, but this is not supported by sufficient evidence.
The height of a pillow is an important aspect that influences head and neck alignment during sleeping. Increasing the pillow height dramatically raises the cranial and cervical mean and peak pressures, as well as the extension and lordosis of the cervical spine. An incorrect pillow height can cause incorrect cervical spine posture, producing tension in the neck muscles and contributing to sleep-related neck pain. Similarly, the pillow's hardness or firmness can affect the support supplied to the head and neck. A pillow that is overly soft or too firm may not give enough support, causing pain and disrupting sleep.
Another important feature of pillows and mattresses is ergonomic support. Ergonomic pillows are designed to give ideal head, neck, and spine support and alignment, reducing the risk of musculoskeletal discomfort and promoting improved sleep posture. Mattresses that possess suitable firmness and support aid in maintaining spinal alignment and distributing pressure, thereby promoting a more comfortable and restorative sleep. Studies have indicated that individuals who utilize pillows and mattresses with inadequate features are at a higher risk of encountering discomfort, pain, and disruptions in their sleep patterns. The sleep quality of office workers can be enhanced by choosing pillows and mattresses that provide adequate support and comfort. This holds particular significance owing to the considerable duration of time spent in office environments, where sedentary behaviors prevail. Comprehending the influence of the aforementioned factors and enhancing the sleep environment can facilitate the advancement of superior sleep and holistic welfare.
The present research aims to examine the relationship between various pillow and mattress factors, musculoskeletal discomfort, and sleep quality in individuals working in office environments. By conducting an examination of various variables including pillow characteristics, sleep-related factors, musculoskeletal symptoms, physical activity level, and mattress-related factors, the research can identify the particular components of the sleeping environment that are most relevant to disturbances.
METHODS Study Design and Participants The purpose of this cross-sectional study was to look at the variables influencing office workers' sleep quality. Participants were gathered using a convenience sample technique from diverse workplace environments. To establish the ideal sample size, a power analysis was performed using G*Power software. The statistical test of choice was multiple regression analysis, and the computation used an effect size of f2 = 0.15. The power analysis showed that a minimum sample size of 400 participants would be needed to detect the indicated effect size with a significance level (alpha) of 0.05 and a target power (1 - β) of 0.80.
Data Collection Self-report questionnaires and objective assessments were combined to acquire the data. An extensive questionnaire including sociodemographic details and sleep-related questions was given to participants.
Sociodemographic Characteristics The study documented the sociodemographic attributes of the participants, encompassing variables such as age, gender, height, weight, educational attainment, marital status, occupation, daily working hours, and professional experience. The data pertaining to the variables in question were obtained through employment of a structured questionnaire.
Sleep-Related Variables The dependent variable will utilize to evaluate the quality of sleep was the Pittsburgh Sleep Quality Index (PSQI). The PSQI is a frequently employed self-administered survey that assesses diverse dimensions of sleep quality and disruptions within a duration of one month. Superior scores are indicative of inferior quality of sleep. The PSQI was administered to the participants in order to obtain a comprehensive evaluation of their sleep quality.
Pillow Characteristics The study will evaluate various pillow-related variables of the participants, such as pillow height, pillow firmness, pillow composition (e.g., feather, memory foam), and pillow ergonomics. The variables were acquired via self-report inquiries, enabling participants to furnish details regarding their individual pillow predilections.
Mattress-Related Factors. Variables for mattresses include the type of mattress, such as spring or sponge, the firmness level and the degree of comfort. Participants will provide self-reported data on the above-mentioned variables to assess their personal perceptions of mattress-related factors that could potentially affect their sleep quality.
Musculoskeletal Symptoms The Nordic Musculoskeletal Questionnaire will be used to collect data on pain experienced by individuals. Specifically, the survey documents the occurrence of pain at nine different sites over the previous 12 months. Additionally, if there is pain, a rating of 1 to 10 is given.
Physical Activity Level:
Researchers will use the International Physical Activity Questionnaire (IPAQ) to assess the physical activity levels of study participants. The International Physical Activity Questionnaire (IPAQ) is a reliable and valid tool used to assess the frequency, duration and intensity of physical activity in different areas such as work, leisure and transportation. These data will facilitate capturing the potential impact of physical activity on sleep quality.
- Conditions
- Sleep, Work Related Stress, Musculoskeletal Pain, Physical Inactivity, Demographies, Family
- Keywords
- Sleep quality, Office workers, Sleep environment, Physical activity, Sociodemographic factors
- Medical subject headings
- Occupational Stress, Musculoskeletal Pain, Sedentary Behavior, Sleep Initiation and Maintenance Disorders, Motor Activity
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Office Workers | The study will document the sociodemographic attributes of the participants, encompassing variables such as age, gender, height, weight, educational attainment, marital status, occupation, daily working hours, and professional experience. The data pertaining to the variables in question were obtained through employment of a structured questionnaire. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Pittsburgh Sleep Quality Index
The Pittsburgh Sleep Quality Index is a comprehensive tool used to assess various aspects of sleep quality. It consists of 19 items, each scored on a 0-3 interval scale. These items are designed to measure subjective sleep quality, sleep latency (time taken to fall asleep), sleep duration, habitual sleep efficiency (the percentage of time spent asleep while in bed), sleep disturbances, use of sleeping medication, and daytime dysfunction.
To determine the overall sleep quality, the scores of these seven components are added together, resulting in a composite score that ranges from 0 to 21. Lower scores indicate better sleep quality.
Measured: Five minutes
Pillow height
The pillow height of the office workers was recorded in cm.
Measured: Two minutes
Secondary outcomes (3)
Mattress type
The variables pertaining to mattresses encompassed the type of mattress, such as spring or foam.
Measured: Two minutes
Musculoskeletal Symptoms
The Nordic Musculoskeletal Questionnaire was utilized to gather data pertaining to pain experienced by individuals. Specifically, the questionnaire documented the occurrence of pain in nine distinct regions over the course of the previous 12 months. Additionally, if pain was present, a rating on a scale of 1 to 10 was assigned. High scores indicate high pain.
Measured: Five minutes
Physical Activity Level
The researchers utilized the International Physical Activity Questionnaire (IPAQ) to assess the physical activity levels of the study participants. The International Physical Activity Questionnaire (IPAQ) is a reliable and valid tool used to evaluate the frequency, duration, and intensity of physical activity in different domains such as work, leisure, and transportation. This data facilitated the capture of the potential impact of physical activity on the quality of sleep.
Measured: Five minutes
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted3 Aug 2023
- Study start1 Aug 2023
- Primary completion1 Oct 2023
- Study completion15 Oct 2023
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (5)Papers the sponsor has linked to this study.
- Other trials for SleepStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Cross-sectional
- Enrolment
- 587 participants (actual)
Sponsor and investigators
- Lead sponsor
- Çankırı Karatekin University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Ceyhun Türkmen, Çankırı Karatekin University
- Investigators
- Ceyhun Türkmen, PhD, Principal investigator, Çankırı Karatekin University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05974709
- Sponsor's protocol ID
- 0f0534f00fdd44cc
- Status last verified
- Oct 2023
- First submitted
- 13 Jul 2023
- Last updated
- 24 Oct 2023
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
Herculano-Houzel S. Neuroscience. Sleep it out. Science. 2013 Oct 18;342(6156):316-7. doi: 10.1126/science.1245798. No abstract available.
PubMed 24136954Morin CM, LeBlanc M, Daley M, Gregoire JP, Merette C. Epidemiology of insomnia: prevalence, self-help treatments, consultations, and determinants of help-seeking behaviors. Sleep Med. 2006 Mar;7(2):123-30. doi: 10.1016/j.sleep.2005.08.008. Epub 2006 Feb 3.
PubMed 16459140DeVocht JW, Wilder DG, Bandstra ER, Spratt KF. Biomechanical evaluation of four different mattresses. Appl Ergon. 2006 May;37(3):297-304. doi: 10.1016/j.apergo.2005.07.002. Epub 2005 Sep 19.
PubMed 16169512Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989 May;28(2):193-213. doi: 10.1016/0165-1781(89)90047-4.
PubMed 2748771Pilcher JJ, Morris DM. Sleep and Organizational Behavior: Implications for Workplace Productivity and Safety. Front Psychol. 2020 Jan 31;11:45. doi: 10.3389/fpsyg.2020.00045. eCollection 2020.
PubMed 32082218
Study at a glance
From the registry record, last updated by the sponsor on 24 Oct 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Factors Affecting Sleep Quality in Office Workers: A Cross-Sectional Study Investigating Pillow and Mattress Factors and Musculoskeletal Symptoms.
- ClinicalTrials.gov ID
- NCT05974709
- Acronym / sponsor ID
- 0f0534f00fdd44cc
- Conditions
- Sleep, Work Related Stress, Musculoskeletal Pain, Physical Inactivity, Demographies, Family
- Keywords
- Sleep quality, Office workers, Sleep environment, Physical activity, Sociodemographic factors
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 587 participants (actual)
- Lead sponsor
- Çankırı Karatekin UniversityUniversity, hospital or other
- Study start
- 1 Aug 2023 (actual)
- Primary completion
- 1 Oct 2023 (actual)
- Study completion
- 15 Oct 2023 (actual)
- First posted
- 3 Aug 2023 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study will focus on the relationship between pillow and mattress factors, musculoskeletal disorders and sleep quality in office workers. Sleep is vital to physical and mental health, and poor sleep can negatively affect cognitive function and workplace performance. Office workers, who often work in sedentary jobs, are particularly prone to sleep disorders. Recognizing the factors that contribute to poor sleep in this population is crucial for developing interventions to improve sleep quality.
The study used a cross-sectional design and will collect data from an appropriate sample of office workers (Approximately 600 participants). Various variables will be assessed, including sociodemographic characteristics, sleep-related factors (to be measured using the Pittsburgh Sleep Quality Index), pillow characteristics, mattress-related factors, musculoskeletal symptoms, and physical activity levels (to be measured using the International Physical Activity Questionnaire).
Descriptive statistics and multiple regression analysis will be performed to analyze the data and identify factors affecting sleep quality. Fixed fixes for potential confounders and modifiers. The study aims to identify specific components of the sleep environment related to sleep disorders.
The findings of this study will contribute to the understanding of how pillow and mattress factors, along with other variables, affect sleep quality in office workers. The results may provide information for interventions aimed at improving sleep habits, optimizing the sleep environment, and improving overall well-being in this population. As a result, promoting good sleep health among office workers can have positive effects on productivity, safety and overall quality of life.
Detailed description
INTRODUCTION
Sleeping is an important part of human life, but there is still a lot of mystery surrounding the relationship between the brain and the process of sleeping. Recent research has concluded that sleeping has much more impact on the brain than previously thought, as it resets itself and removes toxic waste byproducts which may have accumulated throughout the day. Sleeping improves memory recall, helps regulate the metabolism in the body, and reduces mental fatigue. Chronic sleep loss is a serious concern, as it can be constrained by the lack of sleep.
Sleep plays a critical role in physical health, regulating immune system functions and reducing the risk of infections. Poor sleep can weaken immune function, making individuals more susceptible to illnesses. Over the past decade, research has shown that disturbances of sleep, including insomnia complaints and extremes of sleep duration, adversely influence the risk of infectious and inflammatory disease and contribute to all-cause mortality. These findings have substantial public health implications, as 25% of the population report insomnia complaints and 10% meet diagnostic criteria for chronic insomnia. Behavioral treatments have robust efficacy, with remission of insomnia sustained in the long term. Research on sleep and health has focused on the biological mechanisms underlying these effects, which could identify those at greatest risk for adverse health consequences or be targeted to attenuate or even prevent morbidity. Furthermore, sleep is intricately linked to physical health and vitality. It contributes to the restoration and repair of various bodily systems, including the cardiovascular, musculoskeletal, and metabolic systems. Sleep loss is a common condition in developed countries, with people sleeping on average 6.8 hours per night, 1.5 hours less than a century ago. Recent epidemiological studies have revealed relationships between sleep deprivation and hypertension, coronary heart disease, and diabetes mellitus. Sleep loss has been linked to hypertension, coronary heart disease, and diabetes mellitus.
Office workers, who typically engage in sedentary work activities and spend a significant portion of their day in indoor environments, are particularly prone to sleep disturbances. Sedentary behavior is becoming an important risk factor for poor health and mortality. Population research has found that as sitting or television viewing time increases, there is an increased cardiometabolic risk, independent of moderate/vigorous physical activity (MVPA). High accelerometer-determined sedentary time has been linked to metabolic and cardiovascular risk factors in healthy adults, and prolonged or uninterrupted sedentary time has been found to be a risk factor for poor health. With the evolution of the "technology age", sedentary time is reported to be increasing due to the shift towards reduced MVPA required in occupations traditionally requiring MVPA and the increasing percentage of office workers employed in low-activity occupations. While sedentary office workers may be less exposed to many of the hazards associated with more physically demanding occupations, they may gain less of the beneficial MVPA and be exposed to more of the potentially detrimental prolonged and uninterrupted sedentary behavior.
Office workers who have sleep issues may face significant effects on their daily functioning and general quality of life. Insufficient or poor quality sleep can affect cognitive function, including the ability to pay attention, concentrate, solve problems, and make decisions. This can lower productivity, increase errors and accidents, and decrease job performance and satisfaction. Furthermore, it can have a significant impact on mental health, including an increased risk of anxiety, depression, and emotional instability. Sleep habits and workplace behaviors have a significant impact on employee performance, safety, and health, as well as organizational-level success. It is important to understand how sleep habits and sleepiness impact workers and the organization and to emphasize the impact of good sleep on productivity and safety.
Recognizing the importance of sleep and the unique challenges that office employees encounter is critical for resolving sleep disorders in this demographic. Understanding the factors that contribute to poor sleep quality among office employees allows for the development of interventions that encourage good sleep habits, optimize the sleep environment, and improve overall well-being. Education on sleep hygiene, promotion of physical exercise and mobility breaks during the workday, ergonomic workstations, and improved lighting conditions in office environments are some of the targeted measures. Office workers can improve their cognitive functioning, physical health, and general quality of life by emphasizing sleep health. Sleep problems are linked to accidents, productivity losses, and increased healthcare utilization, resulting in $15 billion in healthcare costs each year 15. Poor quality sleep can lead to accidents, productivity losses, and increased healthcare utilization.
Sleep disturbances are widespread among office workers, and recognizing the factors that contribute to these disturbances is critical for devising effective therapies to improve sleep quality in this population. The sleep environment, including pillow and mattress features, has a major impact on sleep quality.
Pillows and mattresses are important sleep environment components that have a direct impact on sleep posture, comfort, and spinal alignment. The selection of an appropriate pillow and mattress is critical for supporting the natural curvature of the spine and ensuring optimal comfort when sleeping. Inadequate pillow and mattress qualities can cause discomfort, pain, and sleep disruptions. Mattress firmness plays a leading role in reducing pain in individuals complaining of back pain. Companies are promoting mattresses with therapeutic properties, but this is not supported by sufficient evidence.
The height of a pillow is an important aspect that influences head and neck alignment during sleeping. Increasing the pillow height dramatically raises the cranial and cervical mean and peak pressures, as well as the extension and lordosis of the cervical spine. An incorrect pillow height can cause incorrect cervical spine posture, producing tension in the neck muscles and contributing to sleep-related neck pain. Similarly, the pillow's hardness or firmness can affect the support supplied to the head and neck. A pillow that is overly soft or too firm may not give enough support, causing pain and disrupting sleep.
Another important feature of pillows and mattresses is ergonomic support. Ergonomic pillows are designed to give ideal head, neck, and spine support and alignment, reducing the risk of musculoskeletal discomfort and promoting improved sleep posture. Mattresses that possess suitable firmness and support aid in maintaining spinal alignment and distributing pressure, thereby promoting a more comfortable and restorative sleep. Studies have indicated that individuals who utilize pillows and mattresses with inadequate features are at a higher risk of encountering discomfort, pain, and disruptions in their sleep patterns. The sleep quality of office workers can be enhanced by choosing pillows and mattresses that provide adequate support and comfort. This holds particular significance owing to the considerable duration of time spent in office environments, where sedentary behaviors prevail. Comprehending the influence of the aforementioned factors and enhancing the sleep environment can facilitate the advancement of superior sleep and holistic welfare.
The present research aims to examine the relationship between various pillow and mattress factors, musculoskeletal discomfort, and sleep quality in individuals working in office environments. By conducting an examination of various variables including pillow characteristics, sleep-related factors, musculoskeletal symptoms, physical activity level, and mattress-related factors, the research can identify the particular components of the sleeping environment that are most relevant to disturbances.
METHODS Study Design and Participants The purpose of this cross-sectional study was to look at the variables influencing office workers' sleep quality. Participants were gathered using a convenience sample technique from diverse workplace environments. To establish the ideal sample size, a power analysis was performed using G*Power software. The statistical test of choice was multiple regression analysis, and the computation used an effect size of f2 = 0.15. The power analysis showed that a minimum sample size of 400 participants would be needed to detect the indicated effect size with a significance level (alpha) of 0.05 and a target power (1 - β) of 0.80.
Data Collection Self-report questionnaires and objective assessments were combined to acquire the data. An extensive questionnaire including sociodemographic details and sleep-related questions was given to participants.
Sociodemographic Characteristics The study documented the sociodemographic attributes of the participants, encompassing variables such as age, gender, height, weight, educational attainment, marital status, occupation, daily working hours, and professional experience. The data pertaining to the variables in question were obtained through employment of a structured questionnaire.
Sleep-Related Variables The dependent variable will utilize to evaluate the quality of sleep was the Pittsburgh Sleep Quality Index (PSQI). The PSQI is a frequently employed self-administered survey that assesses diverse dimensions of sleep quality and disruptions within a duration of one month. Superior scores are indicative of inferior quality of sleep. The PSQI was administered to the participants in order to obtain a comprehensive evaluation of their sleep quality.
Pillow Characteristics The study will evaluate various pillow-related variables of the participants, such as pillow height, pillow firmness, pillow composition (e.g., feather, memory foam), and pillow ergonomics. The variables were acquired via self-report inquiries, enabling participants to furnish details regarding their individual pillow predilections.
Mattress-Related Factors. Variables for mattresses include the type of mattress, such as spring or sponge, the firmness level and the degree of comfort. Participants will provide self-reported data on the above-mentioned variables to assess their personal perceptions of mattress-related factors that could potentially affect their sleep quality.
Musculoskeletal Symptoms The Nordic Musculoskeletal Questionnaire will be used to collect data on pain experienced by individuals. Specifically, the survey documents the occurrence of pain at nine different sites over the previous 12 months. Additionally, if there is pain, a rating of 1 to 10 is given.
Physical Activity Level:
Researchers will use the International Physical Activity Questionnaire (IPAQ) to assess the physical activity levels of study participants. The International Physical Activity Questionnaire (IPAQ) is a reliable and valid tool used to assess the frequency, duration and intensity of physical activity in different areas such as work, leisure and transportation. These data will facilitate capturing the potential impact of physical activity on sleep quality.
Study design
- Observational model
- Cohort
- Time perspective
- Cross-sectional
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Office Workers | – | –The study will document the sociodemographic attributes of the participants, encompassing variables such as age, gender, height, weight, educational attainment, marital status, occupation, daily working hours, and professional experience. The data pertaining to the variables in question were obtained through employment of a structured questionnaire. |
Who may qualify
- Ages
- 18 to 55 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
- Study population
- Office workers from diverse workplace environments, aged 18 years and above, with a minimum employment duration or professional experience, who are willing to participate in the study and able to understand and complete the self-report questionnaires accurately.
Key inclusion criteria (5 listed)
- Participants must be office workers.
- Participants should be at least 18 years old.
- Participants should have a minimum employment duration or professional experience.
- Participants should be willing to provide informed consent to participate in the study.
- Participants should be able to understand and complete the self-report questionnaires accurately.
Key exclusion criteria (6 listed)
- Individuals who are not office workers (e.g., manual laborers, non-office-based professionals) would be excluded.
- Individuals under the age of 18 would be excluded.
- Individuals with cognitive impairments or communication difficulties that prevent them from accurately completing the self-report questionnaires would be excluded.
- Individuals who are unable or unwilling to provide informed consent would be excluded.
- Individuals with pre-existing sleep disorders or medical conditions that significantly impact sleep quality would be excluded, as they may confound the study results.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Pittsburgh Sleep Quality Index
Time frame: Five minutes
The Pittsburgh Sleep Quality Index is a comprehensive tool used to assess various aspects of sleep quality. It consists of 19 items, each scored on a 0-3 interval scale. These items are designed to measure subjective sleep quality, sleep latency (time taken to fall asleep), sleep duration, habitual sleep efficiency (the percentage of time spent asleep while in bed), sleep disturbances, use of sleeping medication, and daytime dysfunction. To determine the overall sleep quality, the scores of these seven components are added together, resulting in a composite score that ranges from 0 to 21. Lower scores indicate better sleep quality.
Pillow height
Time frame: Two minutes
The pillow height of the office workers was recorded in cm.
3 secondary outcomes
Mattress type
Time frame: Two minutes
Musculoskeletal Symptoms
Time frame: Five minutes
Physical Activity Level
Time frame: Five minutes
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 24 Oct 2023.
- Results publication: PubMed 24136954Herculano-Houzel S. Neuroscience. Sleep it out. Science. 2013 Oct 18;342(6156):316-7. doi: 10.1126/science.1245798. No abstract available.
- Results publication: PubMed 16459140Morin CM, LeBlanc M, Daley M, Gregoire JP, Merette C. Epidemiology of insomnia: prevalence, self-help treatments, consultations, and determinants of help-seeking behaviors. Sleep Med. 2006 Mar;7(2):123-30. doi: 10.1016/j.sleep.2005.08.008. Epub 2006 Feb 3.
- Results publication: PubMed 16169512DeVocht JW, Wilder DG, Bandstra ER, Spratt KF. Biomechanical evaluation of four different mattresses. Appl Ergon. 2006 May;37(3):297-304. doi: 10.1016/j.apergo.2005.07.002. Epub 2005 Sep 19.
- Results publication: PubMed 2748771Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989 May;28(2):193-213. doi: 10.1016/0165-1781(89)90047-4.
- Results publication: PubMed 32082218Pilcher JJ, Morris DM. Sleep and Organizational Behavior: Implications for Workplace Productivity and Safety. Front Psychol. 2020 Jan 31;11:45. doi: 10.3389/fpsyg.2020.00045. eCollection 2020.
- Individual participant dataSharing planned: Undecided
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Rare Disorders, Undiagnosed Disorders
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Ceyhun Türkmen, PhD principal investigator
Çankırı Karatekin University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Sleep and Work Related Stress, run by Çankırı Karatekin University at 1 site in Turkey (Türkiye).
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 24 Oct 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Turkey (Türkiye). Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Pittsburgh Sleep Quality Index (time frame: Five minutes). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05974709, which also lists 5 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 24 Oct 2023.