Author: Shiza Sheerazi
Supervisor: Fatima Kamran, Ph.D
Degree: MSc
Year: 2012-2014
University: Institute of Applied Psychology, Punjab University, Lahore, Pakistan
Abstract
It was hypothesized that age, gender, siblings, family system and monthly
family income (MFI) are positively associated with SWB of HD patients.
Number of children is negatively associated with subjective well-being.
Age, gender, siblings, family system and MFI predict SWB of HD
patients. The present research was conducted to investigate the association
between demographic factors and subjective well-being (SWB) among
patients undergoing hemodialysis (HD). The sample for the current
research study comprised of 54 HD patients, with 31men (57.4 %) and 23
women (42.6%) HD patients with an age range of 30 to 82 years. Their
mean was 48.31 and mean age at the onset of End Stage Renal Disease
(ESRD) was 44.05 years. Data were collected from the public sector
hospitals of Lahore. Information on the demographic factors was inquired
using demographic information questionnaire and the Personal Well-being
Index (PWI) (Cummins, Eckersley, Pallant, Van Vugt, & Misajon, 2003)
was used to assess the SWB of the participants. No significant negative
association was found between number of children and SWB. A multiple
linear regression analysis showed that gender, family system and MFI
were found out to be playing an important role in determining the SWB
and thus turned out to be significant predictors of SWB of patients
undergoing HD, as for the gender. Independent samples t-test revealed that
females tend to have more SWB than males and subsequently, participants
having a joint family system had improved and better SWB than
participants having a nuclear family system who turned out to be having
poor SWB. The findings can be implemented by identifying vulnerable
population at risk and improve their level of SWB.
Keywords: Demographic Characteristics, Subjective Well-Being, Hemodialysis Patients, Renal Disease.
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Corresponding Address: Department of Applied Psychology, University of the Punjab, Lahore, Pakistan. Email: chairperson@appsy.pu.edu.pk, Phone: 92-42-9231245
