Multiple regression analysis by the stepwise method was used to evaluate the combined effect of the independent variables on the frequency of leisure-time physical activity.Results Table 1 shows the sociodemographic characteristics of our respondents. Our sample differed from the general elderly population in Singapore in having fewer persons older than 75 years (20.9% vs 26.2%); however, there were no sex differences.About half (42.1%) ofthe elderly respondents participated in regular leisure-time physical activity, with significantly higher percentages of men than women (

ObjectivesTo compare the sociodemography, disease characteristics and hypertension self-care profiles and to determine the factors influencing Hypertension Self-Care Profiles (HTN-SCP) in two populations in primary care settings from Singapore and Malaysia.DesignCross-sectional, cross national.SettingMulti-centre, primary care clinics Malaysia and Singapore.Participants1123 adults with hypertension enrolled and analysed.Primary and secondary outcome measuresComparison between sociodemography, disease characteristics and the mean scores of HTN-SCP domains (behaviour, motivation and self-efficacy) and the factors influencing hypertension self-care.Results1123 adults with hypertension attending primary care clinics in Malaysia and Singapore were involved. The participants’ mean age was 63.6 years (SD 9.7) in Singapore and 60.4 (SD 9.1) in Malaysia. Most of the participants in Singapore had tertiary education (22.3%) compared with Malaysia (13.0%), p<0.001. A higher proportion of participants from Singapore had controlled blood pressure (74.6%) compared with Malaysia (33.8%), p<0.001. The mean total score of HTN-SCP was significantly higher among Singapore participants compared with Malaysia participants 190 (SD 28) versus 184 (SD 23) (p<0.001). Similarly, the mean score for motivation domain 67 (SD 10) versus 65 (SD 9), followed by self-efficacy score 65 (SD 11) versus 62 (SD 9) and behaviour score (58 SD 9 vs 56 SD 9) were higher among Singapore participants. In both countries, the factors which influenced higher HTN-SCP mean scores across all domains were being Indian and had tertiary education.ConclusionsThe study population in Singapore had a higher HTN-SCP mean score compared with Malaysia. The common factors influencing higher HTN-SCP mean scores at both study sites were ethnicity and level of education. Future intervention to improve self-care among people with hypertension may need to be tailored to their behaviour, motivation and self-efficacy levels.

Background Oral anticoagulant therapy use in patients with atrial fibrillation (AF) remains suboptimal in Singapore, despite the availability of both warfarin and non-vitamin K antagonist oral anticoagulants (NOACs). Primary care physicians’ (PCP) decision-making to initiate and select appropriate anticoagulant medication is pivotal in reducing complications among patients with AF. This study explored the factors influencing PCPs’ decision-making in anticoagulant initiation and anticoagulant switch for patients with non-valvular AF. Method The study design is qualitative research based on the theoretical framework of the Generalist Wheel of Knowledge, Understanding and Inquiry. In-depth interviews or focus group discussions were conducted with 27 PCPs in general practice in urban Singapore. The audio-recordings were transcribed and coded to identify themes, which are framed according to the “clinician”, “patient”, “medical condition and treatment” and “healthcare system and policy” domains. Results Personal training and experience with anticoagulant therapy; understanding patient risk-stratification; AF detection during clinical practice; medication cost; clinical support services for anticoagulation monitoring and constraints in existing care model influenced PCPs in their anticoagulant prescription. PCPs preferred to seek guidance from cardiologists in managing patients with newly diagnosed AF and attempted to engage their patients in decision-making regarding anticoagulant therapy. Some PCPs perceived sub-specialized primary care clinics focusing on AF co-management with cardiologists as an ideal setting for initiation and maintenance of anticoagulant therapy. Conclusions PCPs are influenced by multiple interrelated factors while making decisions on anticoagulant initiation and anticoagulant switch for patients with AF. Their proposed care model to address the barriers awaits feasibility and acceptance assessment in future research.