Are you struggling to find the perfect sleep nursing products for your little one? With countless factories in China, it can be overwhelming to choose the right one. Understanding the top sleep nursing factories is crucial, as it ensures you’re investing in quality and safety for your child. By comparing these leading manufacturers, you can discover the best options that combine comfort, durability, and affordability. Ready to make an informed choice? Join us as we explore the top sleep nursing factories in China and help you find the ideal products for peaceful nights and happy mornings!
Sleep disturbances among Chinese clinical nurses in general hospitals …
Product Details: Research article: Sleep disturbances among Chinese clinical nurses in general hospitals and its influencing factors.
Technical Parameters:
– Pittsburgh Sleep Quality Index (PSQI)
– 12-item Short Form Health Survey (SF-12)
– Job Content Questionnaire (JCQ)
Application Scenarios:
– Assessing sleep disturbances prevalence among clinical nurses in Mainland China
– Identifying risk factors associated with sleep disturbances in nurses
Pros:
– Large-scale survey (n=4951)
– Random cluster sampling improves generalizability
Cons:
– Cross-sectional design limits causal inference
– Reliance on self-report measures
Sleep quality of nurses in the emergency department of public hospitals …
Product Details: Study on sleep quality among emergency nurses in public hospitals in Shandong, China.
Technical Parameters:
– Sample size: 4730 emergency nurses
– Assessment tools: Pittsburgh Sleep Quality Index (PSQI), Job Content Questionnai…
Application Scenarios:
– Healthcare settings, particularly emergency departments
– Research on occupational health and sleep quality
Pros:
– Large sample size providing robust data
– Identifies key factors affecting sleep quality in emergency nurses
Cons:
– Cross-sectional design limits causal inferences
– Self-reported measures may introduce bias
Sleep status of psychiatric nurses: A survey from China
Product Details: Study on sleep status of psychiatric nurses in China, evaluating influencing factors.
Technical Parameters:
– Pittsburgh Sleep Quality Index (PSQI) score: 7.00 ± 3.59
– Sample size: 1,044 psychiatric nurses
Application Scenarios:
– Mental health care settings
– Research on healthcare worker well-being
Pros:
– Provides insights into sleep disorders among psychiatric nurses
– Identifies correlation between sleep quality and job burnout
Cons:
– Limited to psychiatric nurses in China
– Cross-sectional design may not establish causality
Personality and sleep quality among nursing interns: Traditional …
Product Details: This study investigated the relationship between neuroticism, sleep quality, TCM constitution, and sedentary behavior in nursing interns.
Technical Parameters:
– Sample size: 630 nursing interns
– Statistical analysis: PROCESS macro in SPSS
Application Scenarios:
– Improving sleep quality of nursing interns
– Early identification of individuals at risk for sleep problems
Pros:
– First study to investigate the influence of TCM constitution on the association…
– Identified sedentary behavior as a moderating factor affecting sleep quality
Cons:
– Cross-sectional design limits causal inferences
– Self-reported data on sedentary behavior and physical activity may not be entire…
Sleep quality and mental health among Chinese nurses after the … – PLOS
Product Details: Study on sleep quality and mental health among Chinese nurses post-COVID-19 pandemic.
Technical Parameters:
– Cross-sectional study design
– Utilized questionnaires: SSRS, PSQI, GAD-7, PHQ-9
Application Scenarios:
– Healthcare settings for nurses
– Mental health interventions for healthcare workers
Pros:
– Highlights the importance of social support in mental health
– Provides insights into sleep quality impacts on anxiety and depression
Cons:
– Limited to a single hospital sample
– Cross-sectional design limits causal inferences
The Relationship Between Poor Sleep and Memory Impairment Among Shift …
Product Details: Study on sleep quality and cognitive function among shift nurses in a tertiary care hospital in Fujian, China.
Technical Parameters:
– Pittsburgh Sleep Quality Index (PSQI)
– Bergen Shift Work Sleep Questionnaire (BSWSQ)
– Ascertain Dementia-8 (AD-8)
Application Scenarios:
– Healthcare settings with shift workers
– Nursing management and occupational health
Pros:
– Identifies prevalence of sleep issues among nurses
– Highlights risk factors for cognitive impairment
Cons:
– Limited to a specific population (shift nurses in China)
– Cross-sectional study design may limit causal inferences
Construction of an index system of core competence assessment for sleep …
Product Details: Core competence evaluation index system for sleep medicine nurses.
Technical Parameters:
– 6 first-level indexes
– 16 second-level indexes
– 64 third-level indexes
Application Scenarios:
– Training of sleep medicine nurses
– Assessment and evaluation of sleep medicine nursing competencies
Pros:
– Scientific and reliable framework
– Comprehensive coverage of core competencies
Cons:
– Potential regional differences in application
– Requires continuous adjustment and empirical testing
Work-Related Predictors of Sleep Quality in Chinese Nurses … – PubMed
Product Details: Work-Related Predictors of Sleep Quality in Chinese Nurses: Testing a Path Analysis Model
Technical Parameters:
– 923 participants recruited using a multistage sampling method
– Path analysis model tested and optimized
Application Scenarios:
– Improving sleep quality among nurses
– Enhancing clinical performance and nursing care quality
Pros:
– Identifies direct and indirect predictors of sleep quality
– Provides actionable insights for administrative interventions
Cons:
– Study limited to Chinese nurses, may not generalize to other populations
– Cross-sectional design limits causal inferences
The Relationship Between Poor Sleep and Memory Impairment Among Shift …
Product Details: Verification service for human users on the website.
Technical Parameters:
– Security review process
– Connection validation
Application Scenarios:
– Website access control
– User verification during login
Pros:
– Enhances security
– Prevents automated access
Cons:
– May cause delays
– User inconvenience during verification
Original research: Association between poor sleep quality and …
Product Details: Study on the association between poor sleep quality and depression symptoms among the elderly in nursing homes in Hunan province, China.
Technical Parameters:
– Pittsburgh Sleep Quality Index (PSQI) Score > 5 indicates poor sleep quality.
– Geriatric Depression Scale (GDS-30) Score ≥ 11 indicates depression symptoms.
Application Scenarios:
– Elderly care facilities and nursing homes.
– Public health research and interventions targeting elderly populations.
Pros:
– Provides valuable insights into the mental health of elderly residents in nursin…
– Highlights the importance of sleep quality in relation to depression symptoms.
Cons:
– Cross-sectional design limits causal inferences.
– Data obtained from self-reports may introduce recall bias.
Related Video
Comparison Table
| Company | Product Details | Pros | Cons | Website |
|---|---|---|---|---|
| Sleep disturbances among Chinese clinical nurses in general hospitals … | Research article: Sleep disturbances among Chinese clinical nurses in general hospitals and its influencing factors. | – Large-scale survey (n=4951) – Random cluster sampling improves generalizability | – Cross-sectional design limits causal inference – Reliance on self-report measures | bmcpsychiatry.biomedcentral.com |
| Sleep quality of nurses in the emergency department of public hospitals … | Study on sleep quality among emergency nurses in public hospitals in Shandong, China. | – Large sample size providing robust data – Identifies key factors affecting sleep quality in emergency nurses | – Cross-sectional design limits causal inferences – Self-reported measures may introduce bias | pmc.ncbi.nlm.nih.gov |
| Sleep status of psychiatric nurses: A survey from China | Study on sleep status of psychiatric nurses in China, evaluating influencing factors. | – Provides insights into sleep disorders among psychiatric nurses – Identifies correlation between sleep quality and job burnout | – Limited to psychiatric nurses in China – Cross-sectional design may not establish causality | www.ncbi.nlm.nih.gov |
| Personality and sleep quality among nursing interns: Traditional … | This study investigated the relationship between neuroticism, sleep quality, TCM constitution, and sedentary behavior in nursing interns. | – First study to investigate the influence of TCM constitution on the association… – Identified sedentary behavior as a moderating factor affecting… | – Cross-sectional design limits causal inferences – Self-reported data on sedentary behavior and physical activity may not be entire… | pmc.ncbi.nlm.nih.gov |
| Sleep quality and mental health among Chinese nurses after the … – PLOS | Study on sleep quality and mental health among Chinese nurses post-COVID-19 pandemic. | – Highlights the importance of social support in mental health – Provides insights into sleep quality impacts on anxiety and depression | – Limited to a single hospital sample – Cross-sectional design limits causal inferences | journals.plos.org |
| The Relationship Between Poor Sleep and Memory Impairment Among Shift … | Study on sleep quality and cognitive function among shift nurses in a tertiary care hospital in Fujian, China. | – Identifies prevalence of sleep issues among nurses – Highlights risk factors for cognitive impairment | – Limited to a specific population (shift nurses in China) – Cross-sectional study design may limit causal inferences | pmc.ncbi.nlm.nih.gov |
| Construction of an index system of core competence assessment for sleep … | Core competence evaluation index system for sleep medicine nurses. | – Scientific and reliable framework – Comprehensive coverage of core competencies | – Potential regional differences in application – Requires continuous adjustment and empirical testing | www.ncbi.nlm.nih.gov |
| Work-Related Predictors of Sleep Quality in Chinese Nurses … – PubMed | Work-Related Predictors of Sleep Quality in Chinese Nurses: Testing a Path Analysis Model | – Identifies direct and indirect predictors of sleep quality – Provides actionable insights for administrative interventions | – Study limited to Chinese nurses, may not generalize to other populations – Cross-sectional design limits causal inferences | pubmed.ncbi.nlm.nih.gov |
| The Relationship Between Poor Sleep and Memory Impairment Among Shift … | Verification service for human users on the website. | – Enhances security – Prevents automated access | – May cause delays – User inconvenience during verification | www.tandfonline.com |
| Original research: Association between poor sleep quality and … | Study on the association between poor sleep quality and depression symptoms among the elderly in nursing homes in Hunan province, China. | – Provides valuable insights into the mental health of elderly residents in nursin… – Highlights the importance of sleep quality in relation to depr… | – Cross-sectional design limits causal inferences. – Data obtained from self-reports may introduce recall bias. | www.ncbi.nlm.nih.gov |
Frequently Asked Questions (FAQs)
What are sleep nursing factories in China?
Sleep nursing factories in China are specialized facilities that produce sleep-related products, such as mattresses, pillows, and bedding. They focus on creating high-quality items designed to enhance sleep comfort and support, often using advanced technology and materials.
How do I choose the right sleep product from a factory?
When selecting a sleep product, consider factors like material quality, firmness level, and your personal sleep preferences. It’s also helpful to check for certifications and customer reviews to ensure the product meets your needs.
Are the products from sleep nursing factories safe?
Yes, most reputable sleep nursing factories adhere to strict safety and quality standards. They often conduct rigorous testing to ensure their products are free from harmful substances and meet international safety regulations.
Can I customize my sleep products?
Many sleep nursing factories offer customization options, allowing you to choose specific materials, sizes, and designs. This can help you create a product that perfectly fits your sleep needs and preferences.
What is the typical lead time for orders?
The lead time for orders can vary depending on the factory and the complexity of your order. Generally, it ranges from a few weeks to a couple of months. It’s best to communicate directly with the factory for accurate timelines.
