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Quality of life of patients with diabetes type Ⅱ influencing factors of community

Author: YangLin
Tutor: GuoWeiWei;LiangZhiQun
School: Shanxi Medical
Course: Applied Psychology
Keywords: Type 2 Diabetes Quality of life Factors
CLC: R587.1
Type: Master's thesis
Year: 2010
Downloads: 199
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Abstract


Purpose:To investigate the reliability and validity of diabetes-specific quality of life scale (DSQL), we use DSQL to evaluate the quality of life in community patients with type 2 diabetes; analyse the effect factors of quality of life in community patients with type 2 diabetes; use structural equation model to analyse the affecting mechanism of these effect factors.Method:DSQL, WHOQOL-BREF and other scales were used to survey 1022 community patients with type 2 diabetes in 36 districts health care sites of Taiyuan, we calculate and analyse the internal consistency reliability, split-half reliability and construct validity, criterion validity of DSQL Scale; use correlation analysis and canonical correlation analysis to investigate the effect factors of quality of life in community patients with type 2 diabetes, use structural equation model to analyse the affecting mechanism of these effect factors.Results:(1) The cronbach a coefficient was 0.909, split-half reliability coefficient was 0.830, construct reliability coefficient was 0.945, illustrate that DSQL has high reliability. Most entries factor of DSQL is loading above 0.5, model fitting well (model fit index NNFI=0.90, CFI=0.90), indicates that the scale has good construct validity. WHOQOL-BREF and DSQL was significant negatively related, sub-scales were negatively correlated in varying degrees; four canonical correlation typical correlation coefficients was significantly(p<0.05), both of them indicate that the scale has good standard validity. (2) Community patients with type 2 diabetes have poor quality, DSQL score is 50.88±10.8; correlation analysis showed that, age, hereditary disease history, course of disease, the highest blood glucose, fasting glucose,2-hour postprandial blood glucose, positive coping style, negative coping style, subjective support, objective support, use of support, number of complications, the situation of exercise have significantly correlation with DSQL total score(p<0.05). The canonical correlation analysis showed that, positive coping style, negative coping style, subjective support, objective support, use of support, the highest blood glucose, fasting glucose and 2-hour postprandial blood glucose are high related with quality of life in community patients with type 2 diabetes (loading>0.4, canonical correlation coefficient was significantly p<0.001); we use structural equation model to analyse the mechanism of influencing factors, the final model fitting results are good (model fit indices RMSEA=0.070, NNFI=0.90, CFI=0.90, IFI=0.90), the factor loading is well; social support directly effect on psychological and therapeutic field (impact effect-0.18,-0.11), blood sugar condition have direct influence on psychological field and therapeutic field (impact effect 0.33,0.15). Coping styles play a partial intermediary role between the relationship of blood situation and quality of life. (impact effect-0.01~0.10)Conclusion:DSQL used in evaluating the quality of life in community patients with type 2 diabetes has good reliability and validity, joint with other related quality of life scales can be more comprehensive. Positive coping style, negative coping style,subjective support, objective support, use of support, the highest blood glucose, fasting glucose and 2-hour postprandial blood glucose are the main effect factors of quality in community patients with type 2 diabetes. Social support and blood sugar condition have direct influence on psychological field and therapeutic field, blood sugar condition has indirect influence on quality of life through coping styles; coping styles play a partial intermediary role between the relationship of blood situation and quality of life.

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CLC: > Medicine, health > Internal Medicine > Endocrine diseases and metabolic diseases > Islet disease > Diabetes
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