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Biomedical subjects

C Padma

Publications and source records attributed to C Padma.

7 recordsLinked to original sources
PubMed2005

Development of a reliable and valid psychosocial measure of self-perception of health in type 2 diabetes.

OBJECTIVES: The aim was to develop a reliable and valid psychosocial measure of self-perception of health in type 2 diabetes. METHODS: Item analysis and factor analyses were done in order to stabilize and establish principal components of the questionnaire. Reliability (internal consistency aspect) was established using Chronbach's alpha method. Concurrent and discriminant validities were established using conventional methods. RESULTS: Factor analysis yielded 12 significant factors (eigen value > or =1), but first six components were retained based on Scree test. These six principal varimax factors explain 49.7% of variance of psychosocial measure of self-perception of health. CONCLUSIONS: The final version after all these psychometric procedures had 27 items with six principal components. They were appropriately named as follow: (I) Positive self-feeling; (II) Sociality; (III) Attention seeking; (IV) Feel healthy; (V) Worry about health; (VI) Dependence. Total variance explained is 49.7%.

Attitude to Health↗
PubMed2003

Quality of life and diabetes integration among subjects with type 2 diabetes.

UNLABELLED: Diabetes integration indicates that a person with diabetes makes an appropriate emotional adjustment to the requirements of diabetic way of life. Diabetes integration and a sense of well-being are expected to be correlated. The aim of diabetes treatment should be to enable a patient to adjust himself to his being a diabetic person. This should ensure a sense of well-being. Aims of this study was to assess the role of diabetes integration and psychological factors in patients with type 2 diabetes. METHOD: A sample of 227 type 2 diabetes patients participated in the study. They were all in the upper middle class social stratum. Diabetes integration scale yields one composite score of adjustment, has 19 items applicable to both type 1 and type 2 diabetic subjects. The psychological well-being scale has 22 items, measures depression (6 items), anxiety (6 items), energy (4 items), positive well-being (6 items) and a general sense of well-being score by the whole test of 22 items. RESULTS: The psychological well-being subscales and the whole scale scores significantly correlated with diabetes integration scale (all P values were < 0.0001). However, we found that diabetes integration and the psychological well-being subscales were not significantly correlated with metabolic and other medical indices. There were gender differences in depression (p < 0.04), anxiety (p < 0.0001), energy (p = 0.004), positive well-being. (p = 0.02) and general sense of well-being (p < 0.0001), men fared in a better than women subjects. No such gender differences were found in diabetes integration score. CONCLUSION: Diabetic patients who integrate themselves and emotionally adjust to diabetes experience a psychological sense of well-being.

Adaptation, Psychological↗
PubMed2002

Costs incurred by families having Type 1 diabetes in a developing country--a study from Southern India.

The aim of the study was to estimate the direct family costs of Type 1 diabetes in India. The study was carried out with the participation of the families of 209 Type 1 DM patients (M:F 126:83, mean age 26.6+/-12.7 years). The annual family income varied from Rs. 10,000 to 600,000/- (US$ 212-12,765) with a median of Rs. 60,000/- (US$ 1276). A median figure of Rs. 13,980 (US$ 310) was spent annually on diabetes by the families of patients; range Rs. 2046-87,150 (US$ 45-1936). Fifty six percent of patients were not earning. The median percentage of income spent on diabetes was 22% for the entire group, varying from 59% in the low socioeconomic group, 32% in the middle socioeconomic group, 18% in the upper middle income group and 12% in the high-income group. Patients managed on an outpatient basis alone incurred an expenditure of 16% of income while 23% of income was spent on those requiring hospitalisation.

Costs and Cost Analysis↗