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Socio-demographic and clinical predictors of self-management among people with poorly controlled type 1 and type 2 diabetes: the role of illness perceptions and self-efficacy

机译:1型和2型糖尿病控制不良的人群的自我管理的社会人口统计学和临床​​预测指标:疾病感知和自我效能的作用

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摘要

Self-management is critical if people with diabetes are to minimise their risk of macrovascular and microvascular complications, yet adherence to self-management recommendations is suboptimal. Understanding the predictors of optimal diabetes self-management in specific populations is needed to inform effective interventions. This study investigated the role of demographic and clinical characteristics, illness perceptions, and self-efficacy in explaining adherence to self-management recommendations among people with poorly controlled diabetes in North West of England. Illness perceptions and self-efficacy data were collected using validated questionnaires and clinical data were obtained from hospital records. Correlations were used to investigate bivariate relationships between independent variables and self-management, and multiple regression techniques were used to determine demographic and psychosocial predictors of self-management. Various demographic and clinical characteristics were associated with adherence to self-management recommendations. In particular, employment status explained 11% of the variation in adherence to foot care whilst diabetes treatment category explained 9% of exercise and 21% of the variations in SMBG recommendations. Also, 22% and 8% of the variations in overall self-management were explained by illness perceptions and self-efficacy beliefs, respectively. Illness perceptions and self-efficacy beliefs of people with poorly controlled diabetes are important predictors of their self-management behaviours and could potentially guide effective interventions.
机译:如果要使糖尿病患者最大程度地减少大血管和微血管并发症的风险,那么自我管理至关重要,但是遵守自我管理建议并不理想。要了解有效的干预措施,需要了解特定人群中最佳糖尿病自我管理的预测因素。这项研究调查了人口统计学和临床​​特征,疾病感知以及自我效能在解释英格兰西北部糖尿病控制不佳的人群中遵守自我管理建议方面的作用。使用经过验证的问卷收集疾病知觉和自我效能感数据,并从医院记录中获得临床数据。相关性用于研究自变量与自我管理之间的双变量关系,多元回归技术用于确定自我管理的人口统计学和社会心理预测因子。各种人口统计学和临床​​特征与遵守自我管理建议相关。特别是,就业状况解释了对足部护理依从性的11%的变化,而糖尿病治疗类别解释了9%的运动和SMBG建议的21%的变化。同样,总体自我管理差异的22%和8%分别是由疾病感知和自我效能感信念解释的。糖尿病控制不佳的人的疾病知觉和自我效能感信念是其自我管理行为的重要预测指标,并可能指导有效的干预措施。

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