Mankar Amar, Kawalkar Umesh, Jadhao Nilesh, Joge Umesh, Paldiwal Ashutosh, Talapalliwar Manoj, Patil Manoj S
Community Medicine, Government Medical College (GMC), Akola, IND.
Community Medicine, Shri Vasantrao Naik Government Medical College, Yavatmal, IND.
Cureus. 2024 Mar 19;16(3):e56505. doi: 10.7759/cureus.56505. eCollection 2024 Mar.
Background Diabetes mellitus (DM) presents global challenges, with optimal glycemic control being pivotal in managing complications, notably in type 2 diabetes mellitus (T2DM). Yet, achieving sustained control faces barriers stemming from socioeconomic and gender-specific disparities. This study addresses these gaps by examining socioeconomic determinants and gender disparities in diabetes management, particularly in Maharashtra, India. Methodology This cross-sectional study involved 302 T2DM patients aged 20 to 79 years. Data on sociodemographic, behavioral, and clinical factors were collected through interviews, and records were analyzed via logistic regression to identify predictors of glycemic control. Results Significant associations emerged between gender and education, occupation, and religion. Glycemic control, with a mean HbA1c of 8.45%, remained suboptimal. Logistic regression identified gender, average family income, diabetes duration, treatment nature, comorbidities, complications, and medication adherence as glycemic control predictors. Conclusions Addressing socioeconomic and gender-specific factors is paramount in diabetes management, especially in rural areas where sociocultural influences shape health behaviors. Tailored interventions, including gender-sensitive health education, are vital for improving diabetes care and outcomes. This study provides crucial insights into gender-specific influences on glycemic control among T2DM patients in Maharashtra, advocating for personalized interventions to enhance overall diabetes management.
背景 糖尿病给全球带来了挑战,最佳血糖控制对于管理并发症至关重要,尤其是在2型糖尿病(T2DM)中。然而,实现持续控制面临着社会经济和性别差异带来的障碍。本研究通过调查糖尿病管理中的社会经济决定因素和性别差异,特别是在印度马哈拉施特拉邦,来填补这些空白。方法 这项横断面研究纳入了302名年龄在20至79岁之间的T2DM患者。通过访谈收集了社会人口学、行为和临床因素的数据,并通过逻辑回归分析记录,以确定血糖控制的预测因素。结果 性别与教育、职业和宗教之间存在显著关联。血糖控制情况仍不理想,平均糖化血红蛋白(HbA1c)为8.45%。逻辑回归确定性别、家庭平均收入、糖尿病病程、治疗性质、合并症、并发症和药物依从性为血糖控制的预测因素。结论 在糖尿病管理中,解决社会经济和性别特定因素至关重要,尤其是在社会文化影响健康行为的农村地区。量身定制的干预措施,包括对性别敏感的健康教育,对于改善糖尿病护理和治疗结果至关重要。本研究为马哈拉施特拉邦T2DM患者中性别对血糖控制的特定影响提供了重要见解,倡导采取个性化干预措施以加强整体糖尿病管理。