Determinants associated with self-management behavior among type 2 diabetes patients in China: A structural equation model based on the theory of planned behavior

Pan, Li‐Hua; Zhang, Xia; Wang, Sizhe; Zhao, Nan; Zhao, Ran; Ding, Bogui; Liu, Ying; Miao, Wenxue; Hong, Fan

doi:10.1016/j.ijchp.2022.100332

Cited by 10 publications

(3 citation statements)

References 30 publications

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“…Therefore, in terms of self-management strategies for patients with knee discomfort, tailor-made, ongoing support of healthcare professionals, and the encouragement of family and friends are required to assist patients [ 29 , 30 ]. It will enhance patients’ motivation to self-manage their behavior [ 31 ], motivating them to seek additional health information resources from health care providers. Additionally, it is important to raise risk perception awareness among middle-aged and elderly individuals, to strengthen their understanding of the significance of knee discomfort and prevent the worsening of symptoms.…”

Section: Discussionmentioning

confidence: 99%

Current status and influencing factors of self-management in knee joint discomfort among middle-aged and elderly people: a cross-sectional study

Guo,

Zhao,

Zeng

et al. 2023

BMC Geriatr

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Background This study aims to identify the current status and factors influencing self-management of knee discomfort in middle-aged and elderly people in China. Methods A stratified multistage cluster sampling method was used to select participants from communities in China from January 15 to May 31, 2020. A cross-sectional survey was conducted using the general information questionnaire and the Knee Joint Discomfort Self-management Scale. Univariate analysis and a generalized linear model were used to analyze the factors influencing self-management. Results The prevalence of knee discomfort was 77%. Moderate to severe discomfort accounted for 30.5%. The average item score of self-management in 9640 participants was 1.98 ± 0.76. The highest and lowest levels were: ‘daily life management’ and ‘information management’. Gender, ethnicity, education level, economic source, chronic disease, knee pain in the past month, and the degree of self-reported knee discomfort were significant predictors of self-management. Conclusion The self-management of knee discomfort in middle-aged and elderly people is poor, and the degree of discomfort is a significant predictor. Healthcare providers should consider socioeconomic demographic and clinical characteristics to help these individuals improve their self-management skills. Attention should also be given to improving their ability to access health information and making them aware of disease risks.

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Section: Discussionmentioning

confidence: 99%

Current status and influencing factors of self-management in knee joint discomfort among middle-aged and elderly people: a cross-sectional study

Guo,

Zhao,

Zeng

et al. 2023

BMC Geriatr

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“…These findings are consistent with existing literature. 15,16 The mean SDSCA_Exer_score was 2.58, indicating a moderate level of engagement in exercise or physical activity among the participants. Regular exercise is known to have numerous benefits for T2DM patients, including improved glycemic control and cardiovascular health.…”

Section: Diabetes Self-management Behavior Level In T2dm Patientsmentioning

confidence: 99%

Predictors of Diabetes Self-Management Behaviour Among Type 2 Diabetics in Saudi Arabia: A Cross-Sectional Study

Alrasasimah,

Alsabaani

2024

DMSO

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“…Moderate-intensity exercise (such as brisk walking) is best for diabetes patients, while vigorous-intensity exercise (such as running) may be too strenuous. Medication management is another crucial type of self-management behavior for people with diabetes [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Self-Management Behaviors and Its Correlation with the Metabolic Syndrome among the Type 2 Diabetes Mellitus Patients of Northern Saudi Arabia

Alsaidan,

Thirunavukkarasu,

Alhassan

et al. 2023

JCM

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Self-management behavior among diabetes patients is essential to monitor blood sugar levels, make necessary lifestyle changes, and help patients reduce their risk of complications from diabetes. We assessed the prevalence of metabolic syndrome (MS) and its association with self-management behavior and sociodemographic characteristics among 310 patients with type 2 diabetes mellitus (T2DM) attending different diabetes care centers in northern Saudi Arabia. We evaluated the self-management behaviors of patients with T2DM using a validated Arabic version of the Summary of Diabetes Self-Care Activities Scale. Regarding MS, we applied the National Cholesterol Education Program (NCEP) Adult Treatment Plan–3 (ATP–3) guidelines. A logistic regression analysis was used to identify the predictors of MS. We found that more than one-third (36.5%) of patients had MS according to the NCEP ATP-3 criteria. The prevalence of MS was significantly associated with unsatisfactory self-management behaviors. Regarding sociodemographic predictors for MS, we found a significant association between gender (ref: female: Adjusted OR (AOR) = 1.89, 95%CI = 1.17–2.95, p = 0.007) and body mass index (ref.: normal range: AOR = 2.98, 95%CI = 1.31–5.07, p = 0.003). Our findings suggest a tailor-made multifaceted intervention to improve the self-management behaviors of T2DM patients, which, in turn, can reduce MS.

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Determinants associated with self-management behavior among type 2 diabetes patients in China: A structural equation model based on the theory of planned behavior

Cited by 10 publications

References 30 publications

Current status and influencing factors of self-management in knee joint discomfort among middle-aged and elderly people: a cross-sectional study

Current status and influencing factors of self-management in knee joint discomfort among middle-aged and elderly people: a cross-sectional study

Predictors of Diabetes Self-Management Behaviour Among Type 2 Diabetics in Saudi Arabia: A Cross-Sectional Study

Evaluation of Self-Management Behaviors and Its Correlation with the Metabolic Syndrome among the Type 2 Diabetes Mellitus Patients of Northern Saudi Arabia

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