METHODS: A cross-sectional study was conducted among 452 antenatal mothers attending health clinics in Klang in April 2018. Probability sampling was used and data was collected by using a validated self-administered questionnaire. The dependent variable of the study was short IPI and the independent variables were sociodemographic, obstetric history and planning of pregnancy. Analysis of data collected in the study was performed by using IBM Statistical Package for Social Science (SPSS) version 24.
RESULTS: The prevalence of short IPI found in this study was 48%. Seven identified predictors of short IPI were: age less than 25 years old (Adjusted Odd Ratios; AOR 12.16, 95%CI: 4.72, 31.30), age of 26 to 30 years old (AOR 5.20, 95%CI: 2.62, 10.32), age of 31 to 35 years old (AOR 2.90, 95% CI: 1.50, 5.64), higher education (AOR 2.11, 95% CI: 1.34, 3.34), parity more than three (AOR 3.12, 95% CI: 1.42, 6.84), irregular menstruation (AOR 2.17, 95% CI: 1.40, 3.37) and unintended pregnancy (AOR 2.88, 95% CI: 1.88, 4.40).
CONCLUSION: Innovative programmes, for example by making IPI information available through online resources, could effectively target young mothers as the younger generation prefers quick, easily-accessible and reliable information.
METHODS: A two-armed, parallel, double-blinded, randomized, controlled trial, intervention and wait-list control groups will be conducted amongst 106 NCSM's cancer survivors. The programme is developed based on a Social Cognitive Theory that combines both psychoeducation and social media approaches to behavioural intervention. The duration of intervention will be 2 months, in which data will be collected at baseline, 2- month (immediately post-intervention) and 4-month. The primary outcome of the study is to determine the PA level of the participant which will be measured as METminutes/ week of PA using the International Physical Activity Questionnaire (IPAQ). There are four measurements of PA that are measured which are moderate and vigorous PA (MVPA) MET-minutes/week, light PA MET-minutes/week, moderate PA MET-minutes/week and vigorous PA METminutes/ week. A Generalised Estimating Equation (GEE) analysis will be used to evaluate the effectiveness of the intervention, adjusted for baseline covariates on both continuous and categorical outcomes. This study will utilize a significance level of 0.05 with a confidence interval of 95% for means estimation in rejecting null hypothesis. The trial registered to the Australian New Zealand Clinical Trials (ANZCTR) with the Registration Number, ACTRN12620000039987.
CONCLUSION: The programme will be useful as a supplementary prescription to assist policy makers to strengthen non-pharmacological cancer management options and to empower cancer survivors to be self-reliant and self-sufficient to include PA as part of their recovery process.
DESIGN: Cross-sectional study.
SETTING: Three public primary care clinics in a district in Selangor, Malaysia.
PARTICIPANTS: Registered patients aged 55 years and above.
MEASUREMENTS: A face-to-face interview was conducted using a validated questionnaire of Medical Outcome Study 36-item short form health survey (SF-36). The outcome measure was the health related quality of life (HRQoL) and other factors measured were socio demography, physical activity, social support (Duke-UNC Functional Social Support Questionnaire), and presence of non-communicable diseases.
RESULTS: A total of 347 participants had non-communicable diseases which included hypertension (41.8%), type 2 diabetes (33.7%), asthma (4.8%), hyperlipidaemia (1.7%), coronary heart disease (1.2%), and osteoarthritis (0.2%). Age ≥ 65 years old (OR =2.23; 95%CI=1.42, 3.50), single (OR=1.75; 95%CI=1.06,2.90), presence of co-morbid condition (OR=1.66; 95%CI=1.06, 2.61), and poorer social support (OR=2.11; 95%CI=1.27, 3.51; p=0.002) were significant predictors of poorer physical component of HRQoL . In predicting lower mental health component of HRQoL, the significant predictors were women (OR=2.28; 95%CI=1.44, 3.62), Indian ethnicity (OR=1.86; 95%CI=1.08, 3.21) and poorer social support (OR=2.71; 95%CI=1.63, 4.51). No interactions existed between these predictors.
CONCLUSION: Older people with non-communicable diseases were susceptible to lower health related quality of life. Increasing age, single, presence of co-morbid conditions, and poorer social support were predictors of lower physical health component of HRQoL. While the older women, Indian ethnicity and poorer social support reported lower mental health component of HRQoL.
Materials and Methods: A total of 149 and 150 patients were randomized to intervention and usual care (control) groups, respectively. A 12-month task-shifting (nurse-driven) HBFC intervention was administered to intervention group. The mid-term impact of intervention on HRQoL was assessed after 6 months intervention. Data were analyzed with intention-to-treat principle. Treatment effects were measured with the t-tests, analysis of covariance, and multivariate analysis of covariance analysis. Significant levels were set at P < 0.05 and 95% confidence interval.
Results: The between-group treatment effect was not statistically significant (P > 0.05), whereas the within-group treatment effects were statistically significant for both the intervention and control arms (P < 0.05) at 6 months. After controlling for age and baseline HRQoL, the intervention group had an improved physical component of HRQoL than the control group. The intervention group also had statistically significant improvement in blood pressure control, medication adherence, and symptom counts (P < 0.05).
Conclusion: The HBFC intervention for hypertensive patients impacted positively on physical component of HRQoL after controlling for baseline HRQoL and age of the patients at 6 months post-intervention.