Latent profile analysis of self-care activities in newly diagnosed obese patients with type 2 diabetes mellitus
Objective To explore the the latent class and influencing factors of self-care activities in newly diagnosed obese patients with type 2 diabetes mellitus(T2DM),thus providing basis for targeted intervention.Methods The newly diagnosed obese patients with T2DM visited our hospital from March 2022 to March 2023 were enrolled,the general information questionnaire,Summary of Diabetes Self-Care Activities(SDSCA),Risk Perception Survey-Diabetes Mellitus were assessed.Latent profile analysis was used to explore the latent class of self-care activities,and multinomial Logistic regression analysis was used to analyze the the influencing factors for self-care activities characteristics.Results A total of 113 newly diagnosed obese patients with T2DM were finally enrolled,the proportion of high self-care,effective self-care and low self-care were 23.0％(26/113),29.2％(33/113)and 47.8％(54/113),respectively.Compared with the type of"low self-care",patients with higher scores of SDSCA were more likely to be classified as"high self-care"and"effective self-care"type(OR=9.062,4.208,P＜0.05).Patients with bachelor's or above degree and monthly income over 5000 yuan more likely to be classified as"high self-care"type(OR=0.033,0.034,P＜0.05).Conclusion There are three latent profiles of self-care activities newly diagnosed obese patients with T2DM,medical staff should implement targeted interventions based on their self-care activities characteristics.
type 2 diabetes mellitusnewly diagnosedself-care activitylatent profile analysis
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NSTL
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