Educational and Socioeconomic Correlates of Stroke Risk Behaviors: Findings from the SPRINT INDIA Trial.
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Verma Shweta Jain, Kaur Gurnoor, Devi Arya, Arora Deepti, Dhasan Aneesh, Sylaja P N, Khurana Dheeraj, Pamidimukkala Vijaya, Ray Biman Kanti, Nambiar Vivek, Aaron Sanjith, Mittal Gaurav, Nagarjunakonda Sundarachary, Pai Aparna R, Gorthi Sankar Prasad, Kumaravelu Somasundaram, Reddy Yerasu Muralidhar, Narayan Sunil, Borah Nomal Chandra, Das Rupjyoti, Kulkarni Girish Baburao, Huded Vikram, Mathew Thomas, Srivastava Mv Padma, Bhatia Rohit, Ojha Pawan Kumar, Roy Jayanta, Abraham Sherly Mary, Vaishnav Anand Girish, Sharma Arvind, Jabeen Sheikh, Pathak Abhishek, Bhoi Sanjeev Kumar, Sharma Sudhir, Sulena Sulena, Saroja Aralikatte Onkarappa, Ramrakhiani Neetu, Kempegowda Madhusudhan Byadarahalli, Kate Mahesh, George Tina, Sebastian Ivy, Sharma Meenakshi, Dhaliwal Rupinder, Huilgol Rahul, Pandian Jeyaraj D
Аннотация
METHODS: Participants were randomly assigned (1:1) to either intervention or control group through computer-based randomization on web. Intervention included stroke prevention Short Message Service messages, short-duration videos, and printed workbooks. Baseline assessments captured demographic and educational data, classifying patients into three categories: no schooling, less than high school, and high school or above. Primary outcome was a composite of recurrent stroke, high-risk TIA, ACS, and mortality at 1 year. Chi-square tests and analysis of variance were used to evaluate educational disparities across various variables.
RESULTS: The intervention did not reduce primary outcomes at 1 year among patients with different educational levels. Higher educational group was associated with enhanced medication adherence (94.3% vs 85.4%; P < 0.001), increased physical activity (5497.91 ± 4117.7 vs 6169.91±4828.8; P < 0.001), lower triglyceride levels, and decreased engagement in behavioral risk factors like alcohol intake (5.1% vs 6.8%; P = 0.013) and tobacco use (smoked and chewed) (4% vs 7.9%; P < 0.001 and 5.8% vs 11.6%; P = 0.020).
CONCLUSIONS: Personalized secondary stroke prevention, tailored to educational levels, is crucial for effective stroke management.