NEED FOR THE STUDY: Stroke is a leading cause of morbidity and mortality which places physical, cognitive, emotional, behavioral, and financial burdens. (1),(2) However, it’s preventable by early identification and modification of risk factors. (3) Physical inactivity is emphasized as a key, modifiable risk factor and has a crucial role in decreasing stroke incidence. (4) As per World Health Organisation (WHO) recommendations, all adults as well as the aged must perform at least 150–300 minutes of moderate-intensity or 75-150 minutes of vigorous-intensity aerobic Physical Activity (PA), or an equivalent combination of both in a week along with moderate or higher intensity muscle-strengthening on at least 2 days a week to achieve significant health benefits. Aged individuals must include functional balance training on 3 or more days a week. (5) Individuals who overestimate their PA levels probably believe PA is less advantageous and thereby show lack of desire to increase PA when compared to those who are practical about it. Personalized feedback about PA can play a crucial role in attitude and behavior change. (6) The Transtheoretical Model of Change explains behavior change by expressing it as a sequence of stages and processes. Stages of Change describe where individuals are in their preparedness for change in five stages: pre-contemplation, contemplation, preparation, action, and maintenance whereas the processes of change explain how individuals modify their behavior using strategies and techniques and can be categorized as cognitive and behavioral processes. (7) Those individuals who are at risk of stroke need to know the guidelines for PA and follow them for stroke prevention, thereby reducing its burden. However, in the Indian context, the demographic data is missing about the knowledge, attitude, and preparedness for PA among individuals at risk of stroke. Hence there is a need for a study that assesses the knowledge, attitude, and preparedness for PA among individuals at risk of stroke. REVIEW OF LITERATURE: Veluswamy et al., in the year 2014 conducted a cross-sectional study to understand the perceptions and awareness of health benefits of PA on chronic diseases among rural coastal South India residents. The study sample included 409 adults living in the selected household for not less than six months and were administered a content-validated questionnaire. Out of which 86.1 % were physically active; 10.5% perceived the need to increase their PA; 89% perceived an active lifestyle; and 75.1 % felt the health benefits of PA but did not report the health benefits of PA on chronic diseases. (1) Mwimo JL, et al., conducted a cross-sectional study in the year 2021 to evaluate the knowledge, attitude, and practice of PA among diabetic patients in the Kilimanjaro region, including 315 diabetic patients attending the diabetic clinic. Out of which, 98.4% of patients had good knowledge of PA, 95.6% of them had a suitable attitude toward PA, and 94.3% of them had adequate levels of PA.(8) F. Islam et al., in the year 2021 conducted a study to evaluate the knowledge of the health benefits of PA and attitudes among hypertensive individuals residing in a rural area in Bangladesh. The study included 307 participants with hypertension in the age group of 30-75 years. Global Physical Activity Questionnaire version 2 (GPAQ-2) was administered to the participants to assess PA levels and they were interviewed to assess their attitude towards PA. 44% of the participants had low PA levels, 95% had awareness about the benefits of PA on health but only 10% were interested in organizing PA programs. (6) OBJECTIVES OF THE STUDY: To evaluate the knowledge of WHO-recommended PA guidelines, attitude towards their involvement in PA, and their preparedness for engaging in PA using a content-validated questionnaire among individuals at risk of stroke. To assess the current level of PA among individuals at risk of stroke using GPAQ.
MATERIAL AND METHODS: SOURCE OF DATA STUDY SETTING: Medicine OutPatient Department of Father Muller Medical College Hospital. STUDY SUBJECTS/PARTICIPANTS: Individuals at high risk and caution risk of stroke according to the Stroke Risk Scorecard. (9)
METHOD OF COLLECTION OF DATA STUDY DESIGN: Cross-sectional study STUDY DURATION: 1 year SAMPLE SIZE CALCULATION: Based on the sample size guideline for survey research, the minimum sample size required is (15 X 12)=180.(10) But to allow for a possible 20% non-valid questionnaire rate in the survey responses, at least 216 participants will be required. INCLUSION CRITERIA: Aged 18 years and above All gender At high risk or caution risk of stroke according to criteria of the National Stroke Association for Stroke Risk Scorecard. (9) Willing to voluntarily participate EXCLUSION CRITERIA: Able to read or understand English or Kannada Any known, cognitive, neurological, musculoskeletal, psychiatric, or terminal illness. OUTCOME MEASURES: A customized and content-validated research questionnaire will be used to evaluate the knowledge of WHO-recommended PA guidelines, their attitude toward their involvement in PA, and their preparedness for engaging in PA. GPAQ will be used to assess the current level of PA among individuals at risk of stroke. (11) PROCEDURE FOR QUESTIONNAIRE PREPARATION & IT’S CONTENT-VALIDATION: The initial pool of 15 questions regarding the knowledge, attitude, and preparedness for PA according to WHO guidelines and the Transtheoretical Model of Change was developed by the primary investigator. This initial draft was then sent to five experts in the field of Research in knowledge, attitude, and practice for establishing its face and content validity. Based on experts’ comments, 3 questions were discarded. The final questionnaire has 12 questions. For testing the understanding and ease of readability, feedback was taken from six individuals. MATERIALS REQUIRED: Copy of Outcome Measures: Customised research questionnaire, GPAQ Paper/pen Screening form Participant Information sheet Informed Consent form Data Collection sheet PROCEDURE: Approval has been obtained from Institutional Review Committee and Institutional Ethics Committee. Screening of patients will be done according to the inclusion and exclusion criteria. Informed consent will be obtained from the patients. Demographic details will be recorded. Study participants will be interviewed about their knowledge, attitude, and preparedness for PA using a content-validated questionnaire and about the current level of PA using GPAQ. Data will be collected and analyzed. STATISTICAL ANALYSIS: Descriptive statistics will be used to analyze the demographic data and the data will be reported as mean and standard deviation. Frequency and Percentages will be used to report the knowledge, attitude, and preparedness for PA among individuals at risk of stroke. IMPLICATION OF THE STUDY: It will help develop scientific literature about knowledge, attitude, and preparedness for PA among individuals at risk of stroke which may help Physiotherapists lay down better prevention models for stroke prevention. LIST OF REFERENCES: 1. Veluswamy SK, Maiya AG, Nair S, Guddattu V, Nair NS, Vidyasagar S. Awareness of chronic disease related health benefits of physical activity among residents of a rural South Indian region: A cross-sectional study. Int J Behav Nutr Phys Act [Internet]. 2014;11(1):1–8. Available from: International Journal of Behavioral Nutrition and Physical Activity 2. Effects of Stroke | American Stroke Association [Internet]. 3. Boehme AK, Esenwa C, Elkind MSV. Stroke Risk Factors, Genetics, and Prevention. Circ Res. 2017;120(3):472–95. 4. Tran P, Tran L, Tran L. ARTICLE IN PRESS A Cross-Sectional Analysis of Differences in Physical Activity Levels between Stroke Belt and Non-Stroke Belt US Adults. 2019;1–9. 5. Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. 2020;54(24):1451–62. 6. Islam FMA, Hosen MA, Islam MA, Lambert EA, Thompson BR, Lambert GW, et al. Knowledge of and intention to participate in physical activity programs and their associated sociodemographic factors in people with high blood pressure in a rural area of bangladesh: Initial investigation from a cluster randomized controlled trial. Int J Environ Res Public Health. 2021;18(18). 7. Jiménez-Zazo F, Romero-Blanco C, Castro-Lemus N, Dorado-Suárez A, Aznar S. Transtheoretical model for physical activity in older adults: Systematic review. Int J Environ Res Public Health. 2020;17(24):1–14. 8. Mwimo JL, Somoka S, Leyaro BJ, Amour C, Mao E, Mboya IB. Knowledge, attitude and practice of physical activity among patients with diabetes in Kilimanjaro region, Northern Tanzania: A descriptive cross-sectional study. BMJ Open. 2021;11(9):1–7. 9. Tarwoto, Elsye Rahmawaty, Argianto, Muhammad Yusro. Effectiveness Test Of Stroke Risk Detection Application Model, Stroke Risk Scorecard (STRIC). J World Sci [Internet]. 2023;2(2):292–9. 10. Rahman MM. Sample size determination for survey research and non-probability sampling techniques: A review and set of recommendations. J Entrep Bus Econ [Internet]. 2023;11(1):42–62. 11. Keating XD, Zhou K, Liu X, Hodges M, Liu J, Guan J, et al. Reliability and concurrent validity of global physical activity questionnaire (GPAQ): A systematic review. Int J Environ Res Public Health. 2019;16(21). |