Statistical analysis: Data was analyzed using the Statistical program for social Sciences(SPSS) version 16. Descriptive statistics was used the means and standarddeviations (SD) for continuous variables and used the frequency distributionfor categorical variables. One-way Analysis Of Variance (ANOVA) used to analyzethe differences among group means and their associated procedures. MultivariateAnalysis of Variance used to examine the net effect for each of the independentvariables on overall and its various categorical levels of quality of lifescales and its dimensions or summaries.
A P-value of ? 0.05 consideredsignificant.The study was approved by the ethics committee of NCDEG; allpatients were provided with a written informed consent before entering thestudy. ResultsParticipants’ characteristics:A total of 144 participants aged between 24 and 90 years with amean age (SD) of 56.8 (11.
0) were included in the study. The socio-demographic,anthropometric and clinical characteristics of the study population werepresented in Table 1 and Table 2.Quality of life and subscales scoring:The overall average score of DFS-SF was 42.
1 (17.0).Table 3 showsthe mean (SD) scores of the six subscales of DFS-SF. The mean scores were 36.7(20.1) for Leisure/ Enjoying life, 44.2 (22.
6) for Physical health, 48.2 (25.7)for Dependency/ Daily life, 43.5 (24.
6) for Negative emotions, 32.7 (24.2) for Worriedabout ulcer, 46.
1 (27.8) for Bothered by ulcer care, 39.3 (9.9) for PhysicalComponent Summary-8 and 41.9 (11.1) for Mental Component Summary-8.
The summaryscores showed a lower Physical Component Summary score than Mental ComponentSummary score.Association betweensocio-demographic characteristics with quality of life mean scores:As shown in table (4); Male gender, ? High school level ofeducation, no stressful events in the last year, not having PVD, absence ofsoft issue infection, lower wagner classification Grade and normal body weightwere significantly associated with higher DFS-SF scores, indicating betterquality of life. The factors associated with PCS8 and MCS8. Association between socio-demographic, clinical and footulcer, characteristics with quality of life subscales:As shown in table (5); higher score on leisure subscale was noticedin males, those with no more than one ulcer or not wearing TCC and in patients withno dyslipidemia. Patients who were males, married, with educational level more thanhigh school and with family monthly income more than 500 JDs scored higher onphysical health subscale.
Dependency subscale was shown to be significantly associated withduration of foot ulcer, site of the ulcer, presence or absence of hypertension,ischemia, type offloading devices, presence of absence of osteomyelitis,charcot foot, amputations or wagner classification grade and retinopathy.Additionally, males, married, employed, with educational level morethan high school, with no stressful life events and those with ulcer locationeither in the forefoot or midfoot scored higher on negative emotions subscales.On the other hand, patients with educational level more than high school, withno stressful life events and no ischemia were more worried about their ulcersthan their counterparts. Finally, bothered by ulcer care subscale wassignificantly affected by offloading devices, having amputation or not, wagnerclassification grade and BMI.
In summary, Stressful events, increased duration of ulcer, havingHind-foot ulcer, having more than one ulcer, Ischemia, osteomylitis, charcotfoot, amputation, retinopathy, higher grades of wagner classification,hypertension, dyslipidemia, and obesity were significantly associated withdecreased scores on at least one DFS subscales.