METHODS: This cross-sectional questionnaire study involved 329 patients with T2DM who received their follow up at a public primary care clinic. Patients were selected via systematic random sampling. Patients self-completed locally adapted versions of the Medical Outcomes Study (MOS) Social Support Survey and Diabetic Management Self Efficacy Scale (DMSES). The scores of both tools were analysed to determine the association and correlation between social support and self-efficacy.
RESULTS: The mean score for overall social support was 72.7±21.40 score range (0-100). "Affectionate support" was rated the highest averaged mean score at 78.31±23.71 (score range: 0-100). The mean DMSES score was 147.6±35.5 (score range :0-200), of which "medications" subscale was rated the highest with averaged mean scores 9.07±1.67 (score range: 0-10). Overall social support and self-efficacy were found to be weakly correlated (r=0.197, p<0.001). However, all subscales of social support were moderately correlated with "medications" subscale of self-efficacy.
CONCLUSION: Social support is significantly associated with patients' self-efficacy in handling their own medications.
OBJECTIVE: The broad objective of this study was to investigate the direct and indirect effects of behavioral factors on the psychological and physiological health of workers.
METHODS: The latest, second generation technique, which is structural equation modeling, is used to identify the relationships between behavioral antecedents and health outcomes. A total of 277 technical workers participated, aged between 20 and 49 and were healthy in all aspects.
RESULTS: The study results showed quantitative demands, emotional demands, work-family conflict, and job insecurity were significantly associated with both psychological (stress) and physiological (Body Mass Index) factors. The social support of colleagues produced mixed findings with direct and indirect paths. Stress also significantly mediates the psychosocial factors and burnout of the workers.
CONCLUSION: The study concluded that workers were physically available, but they experienced distractions as members of social systems, affecting their physiological and psychological health.
METHODS: A systematic literature search was performed on 11 online databases for quantitative studies describing self-regulation of driving amongst older adults aged 60 years and above from database inception until December 2018. Data were described narratively and, where possible, data were pooled using random-effects meta-analysis.
RESULTS: Of the 1556 studies identified, 54 studies met the inclusion criteria and 46 studies were included in the meta-analyses. All included studies examined car drivers only. Older adults who were single or female were found to be at higher odds of driving cessation. Physical fitness, mental health, social influence, and support systems received by older adults were important driving forces influencing mobility and adjustments made in their travel patterns.
CONCLUSIONS: Driving self-regulation amongst older adults is a multifaceted decision, impacting mobility and mental health. Therefore, future interventions and support systems should not only create opportunities for retaining mobility for those who have ceased driving, but also promote better psychological and social well-being for regulators and for those who are transitioning from driving to non-driving status. Practical applications: (a) Engage and educate older adults about self-regulation, including strategies that can be adopted and non-car mobility options available. (b) Expand the research focus to explore potential interactions of factors facilitating or hindering the transition process to develop a more comprehensive framework of self-regulation. (c) Encourage ongoing research to formulate, monitor, and evaluate the effectiveness of policies and interventions implemented. (d) Expand the research horizon to explore and understand the perspectives of older adults from developing countries.
METHODS: Cross sectional analyses of N = 345 adult cancer survivors (5 years post cancer diagnosis) attending follow-ups at University Malaya Medical Centre, Malaysia. Face-to face-interviews were conducted using the 30-item Cancer Health Literacy Test and the Patient-Practitioner Orientation Scale to determine preference for patient-centered care.
RESULTS: Cancer survivors' preference for patient-centered care was associated with a higher cancer health literacy score, higher educational level, being employed, breast cancer diagnosis, and not desiring psychological support [F (14, 327) = 11.25, p
FINDINGS AND CONCLUSIONS: Stroke recovery involves adapting to new limitations and discovering the support necessary to live life. These changes are influenced by a range of environmental factors. Healthcare professionals need to support stroke patients in identifying challenges and work to find innovative ways to address them. Stroke survivors may benefit from the use of an assistive device beyond its clinical function to participate purposefully in activities of daily living. Implications for Rehabilitation Stroke is a cause of disability that limits everyday activities and reduces social participation. Assistive devices help achieve independence, social inclusion and shape stroke recovery. Individuals with disabilities in low and middle income countries often do not have access to assistive devices and resort to innovative solutions that are purpose built. Stroke recovery involves adapting to new limitations and discovering the support necessary to live life as best as possible.
METHODS: A random group of 1404 persons from universities, factories, companies, and elderly centers in Changchun completed a structured questionnaire. This study centered on life satisfaction indicators, which included the current whole life, income, family relationships, peer relationships, relationships with the neighbors, living environment, personal health, family health, spare time, and housework share. Other collected data included the Body Mass Index, blood pressure, self-rated health, Breslow's seven health practices, medical treatment within the past 6 months, physical examinations, General Health Questionnaire (GHQ)-12 Scale, social activities, networking relationships with persons around the community, social support, and sociodemographic variables. Associations between life satisfaction, demographics, and health-related variables were analyzed through a multiway ANOVA.
RESULTS: The living environment and income of Chinese persons were related to their low life satisfaction. The multiway ANOVA showed that the independent relationship of self-rated health, regular physical examinations, GHQ-12 Scale, trust in the community, communication with the neighbors, education, and age related with life satisfaction accounting for 20.3% of the variance. Education and age showed interactive effects on life satisfaction.
CONCLUSION: This study identified seven factors that influenced the life satisfaction of persons in mainland China. Life satisfaction can be enhanced through interventions to improve self-rated health, regular physical examinations, mental health, trust in the community, communication with the neighbors, education, and improvement in the health service.