Methods: A cross-sectional study was conducted at the Universiti Kebangsaan Malaysia Medical Centre (UKMMC) using outpatient population diabetic patients. Demographic data on social and clinical characteristics were collected from participants. Several questionnaires were administered, including the Beck Depression Inventory-II (BDI-II) to measure depressive symptoms, the Generalized Anxiety Disorder-7 (GAD-7) to assess anxiety symptoms, the Big Five Inventory (BFI) to evaluate personality traits, and the WHO Quality of Life-BREF (WHOQOL-BREF) to assess QOL. Multivariate binary logistic regression was performed to determine the predictors of poor glycaemic control.
Results: 300 patients with diabetes mellitus were recruited, with the majority (90%) having type 2 diabetes. In this population, the prevalence of poor glycaemic control (HbA1C ≥ 7.0%) was 69%, with a median HbA1C of 7.6% (IQR = 2.7). Longer duration of diabetes mellitus and a greater number of days of missed medications predicted poor glycaemic control, while older age and overall self-perception of QOL protected against poor glycaemic control. No psychological factors were associated with poor glycaemic control.
Conclusion: This study emphasizes the importance of considering the various factors that contribute to poor glycaemic control, such as duration of diabetes, medication adherence, age, and QOL. These findings should be used by clinicians, particularly when planning a multidisciplinary approach to the management of diabetes.
METHODS: A total of 323 dyads of GI cancer patients and their caregivers completed the Medical Outcomes Study 12-item Short Form (MOS SF-12) questionnaire to measure their HRQOL during face-to-face interviews. The analyses were performed using SF-12 scoring software to compute PCS and MCS scores (HRQOL parameters). The independent t test, one-way ANOVA, and the Pearson correlation test were conducted to determine the demographic factors related to the HRQOL of the dyads.
RESULTS: The caregivers had higher scores in all domains for the SF-12 than the patients. There were significant differences found in the MCS scores of the patients according to ethnicity, origin of cancer, duration of cancer, and surgery. None of these factors had a significant relationship with the caregivers' HRQOL.
CONCLUSION: Caregivers had better HRQOL than cancer patients. Early intervention for cancer patients in the form of counselling and personalised pain management may enhance the HRQOL of patients.
OBJECTIVE: The aim of this study was to examine whether uncertainty in illness is negatively correlated with quality of life and whether this relationship is moderated by coping strategies, namely, problem-focused, avoidant, and active emotional coping.
METHODS: A convenience sample of 135 Malaysian women with breast cancer participated in the study. Participants completed measures of uncertainty in illness, quality of life, and coping styles.
RESULTS: Uncertainty in breast cancer was negatively related to quality of life (β = -0.379, P < .001), and active emotional coping was found to moderate this negative relationship (β = 0.155, P < .05). The model explained 22.20% of the variance of quality of life.
CONCLUSION: Lack of information about breast cancer, treatment, hospitalization, and disease recurrence is related to poorer quality of life. However, this negative relationship becomes weaker when active emotional coping strategies are used.
IMPLICATIONS FOR PRACTICE: Nurses and health providers should help patients reduce their uncertainty in illness by providing them information on breast cancer or referring them to relevant sources. Moreover, they could reduce the deleterious effect of uncertainty on quality of life by encouraging patients to use more active emotional coping strategies.
METHODS: A cross-sectional descriptive study was conducted among PLWHA attending an ART centre of a tertiary care hospital in Islamabad, Pakistan. HRQoL was assessed using a validated Urdu version of EuroQol 5 dimensions 3 level (EQ-5D-3L) and its Visual Analogue Scale (EQ-VAS).
RESULTS: Of the 602 patients included in the analyses, 59.5% (n = 358) reported no impairment in self-care, while 63.1% (n = 380) were extremely anxious/depressed. The overall mean EQ-5D utility score and visual analogue scale (EQ-VAS) score were 0.388 (SD: 0.41) and 66.20 (SD: 17.22), respectively. Multivariate linear regression analysis revealed that the factors significantly associated with HRQoL were: female gender; age > 50 years; having primary and secondary education; > 1 year since HIV diagnosis; HIV serostatus AIDS-converted; higher CD 4 T lymphocytes count; detectable viral load; and increased time to ART.
CONCLUSIONS: The current findings have shown that PLWHA in Pakistan adherent to ART had a good overall HRQoL, though with significantly higher depression. Some of the factors identified are amenable to institution-based interventions while mitigating depression to enhance the HRQoL of PLWHA in Pakistan. The HRQoL determined in this study could be useful for future economic evaluation studies for ART and in designing future interventions.
MATERIALS AND METHODS: This is a cross-sectional study on adolescents aged 13-18 years old. Upon ethical clearance obtained from UMMC Medical Ethics Committee, patients with colorectal, breast or lung cancer and their adolescent children were recruited from the Clinical Oncology Unit of University of Malaya Medical Centre. Respondents who gave consent completed a demographic questionnaire and the Pediatric Quality of Life Inventory, via the post, email, home visit or meetings at the clinics.
RESULTS: 95 adolescents from 50 families responded, giving a response rate of 88 percent. The adolescent's mean age was 16 years (ranging between 13-18 years). Adolescents with parental cancer had the lowest mean score in emotional functioning (p<0.05). Male adolescents had significantly higher quality of life overall and in physical functioning compared to female adolescents. Adolescents with a father with cancer had better school functioning compared to adolescents whose mothers had cancer. Families with household income of RM 5000 and above have significantly better quality of life compared to families with lower household income.
CONCLUSIONS: Adolescent sons and daughters of parents with a cancer diagnosis show lowered QOL, particularly with reference to emotional functioning and school performance. Addressing the needs of this young group has been slow and warrants special attention. Revisiting the risk and resilience factors of adolescents might also inform tailored programs to address the needs of this neglected adolescent population.
METHODS: A cross sectional study was conducted among 2120 cancer patients in Peninsular Malaysia, between April 2016 to January 2017. All cancer patients aged 18 years old and above, Malaysian citizens and undergoing cancer treatment at government hospitals were approached to participate in this study and requested to complete a set of validated questionnaires. Inferential statistical tests such as t-test and one-way ANOVA were used to determine the differences between demographic variables, physical effects, clinical factors, psychological effects and self-esteem with the quality of life of cancer patients. Predictor(s) of quality of life were determined by using Multivariate linear regression models.
RESULT: A total 1620 out of 2120 cancer patients participated in this study, giving a response rate of 92%. The majority of cancer patients were female 922 (56.9%), Malays 1031 (63.6%), Muslim 1031 (63.6%), received chemotherapy treatment 1483 (91.5%). Overall, 1138 (70.2%) of the patients had depression and 1500 (92.6%) had anxiety. Statistically significant associations were found between QOL and clinical factors, physical side effects of cancer, psychological effects and self-esteem (p life of cancer patients in Malaysia.
METHODS: This is a cross-sectional study that took place in a Malaysian tertiary hospital. Patients ≥ 65 years old with at least one medication on admission were recruited. The patients' prehospitalization medications were reviewed to identify PIMs/PPOs using version 2 of the STOPP/START criteria. HRQoL was assessed using the EuroQol-5 dimensions (EQ-5D) and EuroQol-visual analog scale (EQ-VAS). The association between the presence of PIM/PPO and the patients' HRQoL was analyzed using Chi-square and Mann-Whitney U tests. Multiple linear regression models were applied to determine the effect of exposure to PIM/PPO on the patients' HRQoL, adjusting for confounders.
RESULTS: Out of 517 patients who fulfilled the inclusion criteria, 502 patients (97%) accepted to be involved in the study and completed the HRQoL questionnaire. The mean (SD) age was 72.4 (5.9) years. 393 (78.3%) of the patients had problems in at least one EQ-5D dimension with pain/discomfort problem being the most reported complaint. The mean (SD) values of the EQ-5D index and the EQ-VAS were 0.734 (0.214) and 59.6 (14.2), respectively, which are lower than those seen in the general Malaysian population. PIM and PPO were found in 28.5% and 45.6% of the patients, respectively. No significant differences were found in the EQ-5D dimensions, EQ-5D index and EQ-VAS between patients who had PIM/PPO and those who did not. Age, sex, and comorbidities were significantly associated with the patients' HRQoL.
CONCLUSION: PIM and PPO are not uncommon among hospitalized elderly patients; however, it does not significantly affect their HRQoL as measured by the EQ-5D-3L instrument.
METHODS: Data on 123 obese and overweight housewives in the intervention group from the MyBFF@home study were utilised. A validated Malaysian Malay version of Obesity Weight Loss Quality of Life (OWLQOL) questionnaire was administered at baseline and 6 months after intervention. Descriptive analysis, univariate analysis, paired t-test and multiple logistic regression were performed using SPSS Version 22.
RESULTS: Mean body mass index (BMI) was 31.5 kg/m2 (SD:4.13), with 51 participants classified as overweight (41.5%) while 72 were obese (58.5%). About 72% of the housewives experienced weight reduction (62% reduced weight less than 5% and 11% reduced weight more than 5% of their baseline weight). There was a significant improvement in HRQOL with a pre-intervention total mean score of 59.82 (SD: 26.60) and post-intervention of 66.13 (SD: 22.82), p-value
METHODS: This study was conducted among 160 patients with type 2 diabetes mellitus (T2DM) using a self-administered instrument measuring outcome expectation. We used a methodological study design to assess the validity and reliability of the translated Persian version of the instrument.
RESULTS: The findings of the present study support the uni-dimensionality of the Persian version of the instrument. The 10 items of the scale account for 73.54% of the total variance and the un-rotated factor loadings ranged from 0.66 to 0.93. Moreover, this study offers support for convergent validity and internal consistency of the scale.
CONCLUSION: Our study demonstrated good convergent validity, factor structure and internal consistency in a sample of 160 Iranian adults with T2DM. Therefore, the Persian version of the scale is a valid and reliable instrument and can be used in research and clinical settings.
METHODS: In this cross-sectional study, the 8-item Morisky Medication Adherence Scale (MMAS) was the main independent variable and the World Health Organization Quality of Life-Brief the dependent variable. Besides socio-demographic data, diabetes-related distress (DRD) and depression (DS) were included as covariates. Independent association between the MMAS score and HRQoL was done using multiple linear regression.
RESULTS: The participants' response rate was 93.1 % (700/752). Majorities were female (52.8 %), Malay (52.9 %) and married (79.1 %). The mean (SD) for age and the MMAS score was 56.9 (10.18) and 5.6 (1.42), respectively. MMAS total score correlated significantly with all HRQoL domains: overall QoL (OQoL) (r = 0.17), physical QoL (r = 0.11), psychological QoL (r = 0.10), social relationship QoL (r = 0.15) and environmental QoL (EQoL) (r = 0.18). After adjustment for covariates (age, gender, ethnicity, religion, education, income, exercise, macrovascular complications, DRD and DS), MA had persistent effects on OQoL (B = 0.53, 95 % CI 0.012-1.048) and EQoL (B = 0.95, 95 % CI 0.235-1.667).
CONCLUSION: MA showed prevalent correlation and positive effects on the domains of HRQoL. Despite the small effects of MA on HRQoL, the sheer presence of the independent effects provides healthcare providers good reason for initiative and intervention to improve MA, which would improve quality of life.