Insomnia and its correlates among elderly patients presenting to family medicine clinics at an academic center
- Author:
Hamida Farazdaq
;
Marie Andrades
;
Kashmira Nanji
- Publication Type:Journal Article
- Keywords:
insomnia;
elderly;
co-morbidities;
lifestyle factors
- From:Malaysian Family Physician
2018;13(3):12-19
- CountryMalaysia
- Language:English
-
Abstract:
Objective: The objective of this study is to determine the frequency and correlates of insomnia
among elderly patients presenting to family medicine clinics at an academic center in Karachi,
Pakistan.
Study design: This is a cross-sectional study.
Place and duration of study: The study was conducted at the Outpatient Family Medicine Clinics
at Aga Khan University Hospital between February 2013 and June 2013.
Methodology: Patients 60 years old and above were recruited (n=152) through non- probability
consecutive sampling. Information was collected on a pretested structured questionnaire on
demographics, insomnia symptoms, medical co-morbidities, lifestyle factors and sleep disorders.
Data was analyzed on SPSS 19. Proportions and the Chi-Square test were used in the analyses,
along with binary logistic regression.
Results: The mean age of the participants was 65.68 years, and 38.80% of the participants were
male and 61.20% were female. The prevalence of insomnia was 42.1%. It was more common
in women than in men (64.10% vs. 35.9%). Increasing age [ORadj: 4.54; 95%CI: 1.85-11.17],
being divorced/widowed [ORadj: 10.26; 95%CI: 2.79- 37.73] and having an average household
income of over Rs.50, 000, were significantly related to insomnia. The other factors associated with
insomnia were Gastro Esophageal Reflux Disease [ORadj: 4.30; 95% CI: 1.67-11.04], depression
[ORadj: 2.88, 95% CI: 1.13-7.33], caffeine consumption [ORadj: 6.50; 95% CI: 2.27-18.57], and
cigarette smoking close to bed time [ORadj: 4.78; 95% CI: 0.88-25.90].
Conclusion: The study showed that older adults with multiple diseases were at high risk of
insomnia. Certain life style practices enhanced the risk; hence, physicians should incorporate sleep
history and tailor treatment to target both insomnia and related factors to optimize quality of life.
- Full text:2.2018my0013.pdf
