Self-Care Practices (SCPs) among the Type II Diabetics Affiliating to the Self-Help Groups (SHGs) in Bangladesh
Publish place: Journal of Medicinal and Chemical Sciences، Vol: 5، Issue: 6
Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
View: 107
This Paper With 10 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JMCH-5-6_020
تاریخ نمایه سازی: 15 تیر 1401
Abstract:
The present paper is an initiative to assess self-care practices of the deadly disease diabetes among the members of the self-help group in the Jashore district of Bangladesh. Generally speaking, type ۲ diabetes is the mother of all illnesses, and self-care practices such as blood sugar monitoring, nutrition control, physical activity, medication adherence, and foot care are the cornerstones of its treatment. However, in under-developed nations like Bangladesh, where the cases are more prevalent, a limited study is being conducted and there is a lack of understanding about self-care. The study’s aim was to investigate the self-care practices of type II diabetics among the members of self-help groups in Bangladesh, so as to assess the relationship between self-care practices and blood sugar levels among members of self-help groups in Bangladesh as well as to add to the existing knowledge. The data indicates that education, reading level, economic status, desire to control diabetes, lack of information about diabetes and its complications, and self-care habits in the research region have a direct association.
Keywords:
Authors
Deepak Kumar Singh
School of Management, KIIT University, Bhubaneswar, Odisha, India
Shila Mondol
School of Management, KIIT University, Bhubaneswar, Odisha, India
Ipseeta Satpathy
School of Management, KIIT University, Bhubaneswar, Odisha, India
B. Chandra Mohan Patnaik
School of Management, KIIT University, Bhubaneswar, Odisha, India
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :