Predictors of Poor Sleep Quality in Elderly Individuals in Western Iran: A Population-Based Cross-Sectional Study.

Zahra Cheraghi, Nasrin Shirmohammadi, Razieah Ilukhani, Mojtaba Tayebi, Parvin Cheraghi, Mohadeseh Sadri
Author Information
  1. Zahra Cheraghi: Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran. ORCID
  2. Nasrin Shirmohammadi: Department of Biostatistics, Hamadan University of Medical Sciences, Hamadan, Iran.
  3. Razieah Ilukhani: Health Deputy, Hamadan University of Medical Sciences, Hamadan, Iran.
  4. Mojtaba Tayebi: Behavioral Disorders and Substance Abuse Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
  5. Parvin Cheraghi: Department of Public Health, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran. ORCID
  6. Mohadeseh Sadri: Iranian Research Center on Aging, University of Social Welfare & Rehabilitation Sciences, Tehran, Iran.

Abstract

BACKGROUND: Poor sleep quality in the elderly is a prevalent issue that can significantly impact overall health and quality of life. This study aimed to assess the prevalence of sleep disorders and the factors contributing to Poor sleep quality among older adults in Western Iran. This is a cross-sectional study.
METHODS: This study involved 403 elderly people. The following tools were employed to collect data: the Pittsburgh sleep quality Index (PSQI), the Leisure and Pleasure Activities Database (a quality-of-life tool), the standardized Depression, Anxiety and Stress Scale (DASS-21), and the Abbreviated Mental Test (AMT)for cognitive assessment. A backward stepwise selection method was employed to finalize the variables for multiple logistic regression analysis.
RESULTS: The overall prevalence of Poor sleep quality was 44.7%. With each one-point increase in stress, the likelihood of experiencing Poor sleep quality increases significantly (adjusted OR: 1.09, <0.001). The number of children in the household was found to have a protective effect against Poor sleep quality (adjusted OR=0.63, =0.008). Furthermore, elderly individuals working as housekeepers had higher odds of Poor sleep quality than those employed elsewhere (adjusted OR=7.45, =0.005).
CONCLUSION: A significant association was observed between elevated stress levels and Poor sleep quality. Interestingly, the presence of children in the household appeared to offer a protective effect. Conversely, individuals in household management roles faced a dramatically increased risk of Poor sleep quality. These findings offer preliminary evidence for the potential effectiveness of early interventions and prevention strategies designed to improve sleep quality and reduce social frailty in the elderly.

Keywords

References

  1. Psychosom Med. 2008 Oct;70(8):913-9 [PMID: 18842741]
  2. Nat Sci Sleep. 2015 Feb 05;7:33-42 [PMID: 25709512]
  3. Sleep Med Rev. 2015 Feb;19:6-16 [PMID: 24931811]
  4. Curr Psychiatry Rep. 2015 Dec;17(12):97 [PMID: 26478197]
  5. Sleep Med Rev. 2016 Feb;25:21-30 [PMID: 26140867]
  6. Br J Health Psychol. 2013 Sep;18(3):546-55 [PMID: 22988915]
  7. Am J Med. 2019 Mar;132(3):292-299 [PMID: 30292731]
  8. Iran J Psychiatry Behav Sci. 2014 Winter;8(4):29-37 [PMID: 25798171]
  9. Psychogeriatrics. 2018 May;18(3):155-165 [PMID: 29878472]
  10. Rev Bras Enferm. 2013 May-Jun;66(3):351-7 [PMID: 23887783]
  11. Dialogues Clin Neurosci. 2008;10(3):329-36 [PMID: 18979946]
  12. Clocks Sleep. 2019 Feb 25;1(1):151-165 [PMID: 33089161]
  13. Clin Chest Med. 2007 Dec;28(4):673-84, v [PMID: 17967287]
  14. Psychol Health Med. 2017 Sep;22(8):889-895 [PMID: 28013552]
  15. Psychiatry Res. 1989 May;28(2):193-213 [PMID: 2748771]
  16. Behav Res Ther. 1995 Mar;33(3):335-43 [PMID: 7726811]
  17. AIMS Neurosci. 2016;3(1):67-104 [PMID: 28413828]
  18. Psychol Med. 1996 Mar;26(2):427-30 [PMID: 8685299]
  19. Sleep Sci. 2020 Apr-Jun;13(2):119-124 [PMID: 32742582]
  20. Behav Med. 1998 Spring;24(1):17-27 [PMID: 9575388]
  21. Health Psychol Rev. 2023 Mar;17(1):169-191 [PMID: 34459704]
  22. Eur J Neurol. 2021 Jul;28(7):2156-2167 [PMID: 33619858]
  23. Zhonghua Liu Xing Bing Xue Za Zhi. 2020 Jan 10;41(1):13-19 [PMID: 32062936]
  24. J Women Aging. 2022 Sep-Oct;34(5):605-620 [PMID: 34436971]
  25. Med Clin North Am. 2015 Mar;99(2):431-9 [PMID: 25700593]
  26. Sleep Disord. 2014;2014:595208 [PMID: 24575303]
  27. J Affect Disord. 2021 Nov 1;294:464-471 [PMID: 34325166]
  28. Climacteric. 2015 Oct;18(5):715-21 [PMID: 26249643]
  29. Int Rev Psychiatry. 2005 Aug;17(4):229-36 [PMID: 16194794]

MeSH Term

Humans
Cross-Sectional Studies
Iran
Female
Male
Aged
Sleep Quality
Quality of Life
Prevalence
Sleep Wake Disorders
Aged, 80 and over
Risk Factors
Stress, Psychological
Depression
Middle Aged
Anxiety
Surveys and Questionnaires
Logistic Models

Word Cloud

Created with Highcharts 10.0.0sleepqualitypoorelderlystudyemployedadjustedhouseholdPoorsignificantlyoverallprevalencedisordersWesternIranSleepQualitystresschildrenprotectiveeffect=0individualsofferElderlyBACKGROUND:prevalentissuecanimpacthealthlifeaimedassessfactorscontributingamongolderadultscross-sectionalMETHODS:involved403peoplefollowingtoolscollectdata:PittsburghIndexPSQILeisurePleasureActivitiesDatabasequality-of-lifetoolstandardizedDepressionAnxietyStressScaleDASS-21AbbreviatedMentalTestAMTcognitiveassessmentbackwardstepwiseselectionmethodfinalizevariablesmultiplelogisticregressionanalysisRESULTS:447%one-pointincreaselikelihoodexperiencingincreasesOR:109<0001numberfoundOR=063008FurthermoreworkinghousekeepershigheroddselsewhereOR=745005CONCLUSION:significantassociationobservedelevatedlevelsInterestinglypresenceappearedConverselymanagementrolesfaceddramaticallyincreasedriskfindingspreliminaryevidencepotentialeffectivenessearlyinterventionspreventionstrategiesdesignedimprovereducesocialfrailtyPredictorsIndividualsIran:Population-BasedCross-SectionalStudyCross-sectionalstudiesSleep-wake

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