• Harpreet Kaur
• Dr. Rajwant Kaur Randhawa
• Dr. Victor Devasirvadam

Elderly people are the integral part of the society. Aging is an evitable developmental phenomena bringing along a number of changes in the physical, psychological and social condition. Cognitive impairment is common in later life. A Cross-sectional descriptive survey was adopted to determine the prevalence and predictive variables of cognitive impairment among elderly in Roopnagar district, Punjab where interview schedule was used as a method of data collection. A total of 100 elderly were taken by quota sampling technique. Nestle Mini Nutritional assessment scale (MNA) and Folstein -Mini Mental Status Examination(MMSE) was used to assess cognitive impairment. Feasibility and sample size for main study was determined by using Power analysis on the basis of results of the pilot study. Majority of elderly having normal Nutritional status and more than half (63%) of the elderly people were having mild cognitive impairment whereas only (10%) were having moderate cognitive impairment. Likelihood ratio test (logistic regression analysis) revealed the predictive variables of cognitive impairment that include previous employment, Exercises. The study was concluded that early detection of cognitive impairment and its predictive variables may help the elderly people and their families to prepare and plan for the potential complications of this illness.

Cognitive Impairment, Predictive variables, Elderly, MMSE, MNA

"PREVALENCE AND PREDICTIVE VARIABLES OF COGNITIVE IMPAIRMENT AMONG ELDERLY AT ROOPNAGAR DISTRICT, PUNJAB", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.b166-b175, January-2022, Available :http://www.jetir.org/papers/JETIR2201123.pdf

"PREVALENCE AND PREDICTIVE VARIABLES OF COGNITIVE IMPAIRMENT AMONG ELDERLY AT ROOPNAGAR DISTRICT, PUNJAB", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppb166-b175, January-2022, Available at : http://www.jetir.org/papers/JETIR2201123.pdf