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Article | IMSEAR | ID: sea-217279

ABSTRACT

Introduction: Healthy Aging is for everyone, not just those who are currently disease-free. Many factors influence the health of the elderly, including underlying physiological and psychological changes, health-related behaviour, disease status and also environments in which people are living strongly influence their health. Methodology: The 240 elderlies between the age group of 60-75 years from Primary Health Centre, Mu-thukur, Nellore, Andhra Pradesh, India was selected as study participants by simple random sampling technique and excluded those who were mentally and physically sick at the time of data collection. The Pittsburgh Sleep Quality Index (PSQI) scale was used to collect and Sleep promoting measures were taught and followed to experimental group for the period of six months. Results: In this study, the posttest mean PSQI sleep score among experimental group was 6.16 and con-trol group was 7.95, with the mean difference was 1.79, as it was large and it was statistically significant difference at the value of t=3.34 at p? 0.001 level which indicate sleep promoting measures was effective to enhance sleep quality and to maintain normal blood pressure. Conclusion: Compared to the control group, the experimental group's elderly had better sleep quality; hence healthy sleep promoting measures are effective to manage and to maintain normal blood pres-sure.

2.
Article | IMSEAR | ID: sea-217267

ABSTRACT

Background: Diabetes is accompanied by a distinct decreased in subject抯 quality of life (QOL) and it shows to elevated disability-adjusted life years than most diseases. Depression shows the degrade QOL and is associated with wretched treatment outcomes and lesser the glycaemic control in diabetes. Objective of this study is to study the association between Quality of Life (QoL) and depression among type2 diabetes mellitus in Andhra Pradesh. Methodology: The present study is a case control study. There were 300 participants including 150 type2 diabetes mellitus patients, & 150 healthy individuals (age and gender matched) were also selected as a control to meet the purpose of the study. Subjects age range was set between 35-65 years. Beck depression inventory (BDI-II) and WHO quality of life scale (QOL BREF) were used for data collection, SPSS-26(v). Results: The study findings showed that significant but negative relation between depression scores and quality of life. 65% have Poor Quality of life & 57% have high depression in Diabetes Patients. 54% have good Quality of life & 78% have Mild Depression in Healthy Individuals. Conclusion: It is concluded that association between depression and sub-scales of quality of life indicating that high depression scores may lead to lower physical and psychological health impacting social relationship and environmental health.

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