Factors Predicting Sleep Quality in Sepsis Survivors: A Cross-Sectional Study.
Sepsis is a systemic inflammatory response to infection resulting in multiorgan dysfunction and failure. Sepsis incidence is rising globally; however, advancements in sepsis management have improved survival rates. Many sepsis survivors experience poor sleep, which is associated with higher mortalit...
| Publicado en: | Pacific Rim International Journal of Nursing Research Vol. 29; no. 3; pp. 619 - 632 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Thailand Nursing & Midwifery Council
Jul-Sep2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188270419&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188270419 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19068107 B7IM jtl: Pacific Rim International Journal of Nursing Research issn: 19068107 maglogo: N pubinfo: dt: Jul-Sep2025 vid: 29 iid: 3 pid: 26313 pub: Thailand Nursing & Midwifery Council artinfo: ui: 188270419 188270419 188270419 10.60099/prijnr.2025.273931 188270419 ppf: 619 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Factors Predicting Sleep Quality in Sepsis Survivors: A Cross-Sectional Study. aug: au: Pongsuwun, Kewalin Puwarawuttipanit, Wimolrat Kongkar, Ruttanaporn Rongrungruang, Yong affil: Graduate student, Master of Nursing Science Program in Adult and Gerontological Nursing, Faculty of Nursing, Mahidol University, Bangkok, Thailand sug: subj: Sleep Quality Evaluation Sepsis Psychosocial Factors Survivors Psychosocial Factors Hospitalization Human Male Female Adult Middle Age Aged Descriptive Research Cross Sectional Studies Tertiary Health Care Thailand Sepsis Therapy Clinical Assessment Tools Coefficient alpha Interviews Questionnaires Data Analysis Software Descriptive Statistics Multiple Linear Regression Scales Anxiety Stress Depression Support, Psychosocial Comorbidity Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Sepsis is a systemic inflammatory response to infection resulting in multiorgan dysfunction and failure. Sepsis incidence is rising globally; however, advancements in sepsis management have improved survival rates. Many sepsis survivors experience poor sleep, which is associated with higher mortality and slower recovery. This cross-sectional study aimed to identify factors predicting sleep quality among sepsis survivors during hospitalization. The study included 138 sepsis survivors aged over 18 years who were admitted to the general medical wards at a super-tertiary hospital in Bangkok, Thailand. Research instruments included the Personal Information Questionnaire, the Medical History Questionnaire, the Charlson Comorbidity Index, the Verran and Snyder-Halpern Sleep Scale, the Caring Professional Scale, and the Depression Anxiety Stress Scale-21. Descriptive statistics were employed to describe the characteristics of the participants, and multiple regression analysis was utilized to investigate the factors influencing sleep quality. Of the 138 sepsis survivors, 73 (52.90%) experienced poor sleep quality. Together, five predictive variables explained 47.50% of the variance in their sleep quality with statistical significance. Healthcare personnel support was the strongest predictor of sleep quality in sepsis survivors, with anxiety, comorbidities, depression, and stress following in significance. This finding highlights the importance of healthcare personnel support. Nurses should assist sepsis survivors through psychological support, understanding, and information to reduce anxiety, depression, stress, complications, or severity of comorbidities. Addressing these problems through targeted interventions and comprehensive support strategies is crucial for enhancing their sleep quality, ultimately leading to long-term positive health outcomes. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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