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Objective To examine the integrated model of self-management behavior in middle-aged stroke patients based on health belief model and planned behavior theory. Methods A self- designed general information questionnaire, self- management behavior cognition and attitude questionnaire and self-management behavior scale, were used to investigate 654 cases of first middle-aged stroke patients in the neurology department of 3 grade a hospitals in Qingdao. Results The standardization factor load of each theoretical dimension in the theoretical integration model was 0.51-0.91 (0.72±0.11). Behavioral intention had a direct positive predictive effect on self-management behavior, with an effect value of 0.49 (t=7.41, P<0.01). Perceived behavior control not only had a direct positive prediction effect on self-management behavior, but also indirectly influenced self-management behavior through behavioral intention. The effect values are 0.12 (t=2.75, P<0.05) and 0.04 (t=2.18, P<0.05), respectively. Behavioral attitude exerts influence on self- management behavior through behavioral intention, and the effect value is 0.40 (t = 14.71, P < 0.01). Subjective norms not only influenced self-management behavior through behavioral intention, but also indirectly influenced behavioral intention and self-management behavior through behavioral attitude, with the effect value of 0.25. The effects of perceived benefits and perceived severity on self-management behaviors were 0.21 and 0.04, respectively. The theoretical integration model can explain 62% variance variation of self-management behavior. Conclusion The theoretical integration model of self-management behavior of middle-aged stroke patients based on the health belief model and planned behavior theory can better explain the behavior. This model can be applied to stroke patients in an attempt to provide theoretical basis for the formulation of personalized nursing measures for stroke patients.
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Objective@#To examine the integrated model of self-management behavior in middle-aged stroke patients based on health belief model and planned behavior theory.@*Methods@#A self-designed general information questionnaire, self-management behavior cognition and attitude questionnaire and self-management behavior scale, were used to investigate 654 cases of first middle-aged stroke patients in the neurology department of 3 grade a hospitals in Qingdao.@*Results@#The standardization factor load of each theoretical dimension in the theoretical integration model was 0.51-0.91 (0.72±0.11). Behavioral intention had a direct positive predictive effect on self-management behavior, with an effect value of 0.49 (t = 7.41, P < 0.01). Perceived behavior control not only had a direct positive prediction effect on self-management behavior, but also indirectly influenced self-management behavior through behavioral intention. The effect values are 0.12 (t = 2.75, P < 0.05) and 0.04 (t = 2.18, P < 0.05), respectively. Behavioral attitude exerts influence on self-management behavior through behavioral intention, and the effect value is 0.40 (t = 14.71, P < 0.01). Subjective norms not only influenced self-management behavior through behavioral intention, but also indirectly influenced behavioral intention and self-management behavior through behavioral attitude, with the effect value of 0.25. The effects of perceived benefits and perceived severity on self-management behaviors were 0.21 and 0.04, respectively. The theoretical integration model can explain 62% variance variation of self-management behavior.@*Conclusion@#The theoretical integration model of self-management behavior of middle-aged stroke patients based on the health belief model and planned behavior theory can better explain the behavior. This model can be applied to stroke patients in an attempt to provide theoretical basis for the formulation of personalized nursing measures for stroke patients.
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Objective To explore the factors affecting blood level of elderly hypertensive patients, using a multilevel analysis model. Methods 927 elderly hypertensive patients from 23 communities were studied, through a multi-stage random sampling method. The influencing factors on systolic blood pressure (SBP) and diastolic blood pressure (DBP) were analyzed through a two-level linear multilevel model, respectively. Results The average blood pressure of subjects appeared as: SBP (139.2±11.7) mm Hg ( 1 mm Hg=0.133 kPa), DBP (85.6±8.6) mm Hg. Ratio of physician versus patients was the factor affecting blood level of subjects from the community level. SBP and DBP of the subjects from the higher physician/patient ratio communities were 3.86 mm Hg and 2.51 mm Hg, lower than the subjects in the lower ratio communities, after controlling the other related factors. Age, gender,overweight/obesity were the individual risk factors of hypertension, while factors as regularl medicine taking, reducing salt intake and related self-efficacy to manage disease could reduce the blood pressure.Reducing salt intake could lower the SBP for 2.44 mm Hg and DBP for 2.03 mm Hg, after controlling the other factors. Conclusion Multilevel analysis model could effectively analyze the hierarchically structured data while both factors from the community and individual levels could affect the blood level among elderly patients with hypertension.
