Background The coronavirus disease 2019 (COVID-19) pandemic has affected the health-related behaviors of patients with non-communicable diseases (NCDs). Thus, the factors predicting the health-promoting behaviors (HPBs) of hospitalized patients with NCDs during the second wave of COVID-19 should be examined. Objective The aims of this study were to determine the relationships among the patients’ characteristics, perceived self-efficacy, social support, perception of the benefits of and barriers, and HPBs, and to determine the predictive factors of HPBs among hospitalized patients with NCDs during the second wave of COVID-19. Patients and Methods The study had a cross-sectional predictive correlational design and included 250 patients with NCDs 18 years of age or older hospitalized in a tertiary hospital in Thailand. Descriptive statistics, the chi-square test, the Pearson’s correlation coefficient, and stepwise multiple linear regression were used for data analysis. Results Most of the participants had a cardiovascular disease (34.0%). Followed by diabetes (28.8%), cancer (11.2%), hypertension (10.0%), heart disease (9.6%), or chronic obstructive pulmonary disease (6.4%) and had a moderate level of overall HPBs (M = 106.09; SD = 4.66). Among the six components of the HPBs, the participants achieved the moderate levels in nutrition, interpersonal relations, spiritual growth, and stress management, and low levels in physical-activity and health responsibility. The patients’ perception of the benefits and barriers to the adoption of HPBs and perceived self-efficacy and social support were able to predict their HPBs, accounting for approximately 38.0% of the variance of such behaviors. Conclusion On the basis of our study’s results, we suggest that researchers, multidisciplinary teams, the government, and policymakers establish effective interventions, guidelines, and policies for the development of HPBs to prevent and control the spread of COVID-19 particularly among patients with NCDs, and to improve their capacity for high-quality and continuing self-care.

Background: The COVID-19 pandemic has affected the health behaviors of university students. Thus, factors influencing students' health behaviors during the COVID-19 outbreak should be examined. Purpose: To our knowledge, little is known about stress, adversity quotient, and health behaviors of university students in Thailand. Therefore, the aims of this study were to determine the relationships among socioeconomic factors, stress, and adversity quotient influencing university students' health behavior during the COVID-19 crisis. Patients and Methods: We conducted a cross-sectional predictive study; it was included 416 undergraduate students ≥18 years of age at a university in Thailand. We used descriptive statistics, chi-squared test, and stepwise multiple linear regression for data analysis. Results: The results indicated that most participants were women (71.90%), and the highest proportion of students were enrolled in College of Politics and Governance (25.24%). Most of the students had a high stress level (M = 3.54, SD = 0.53), high adversity quotient (M = 3.77, SD = 0.63), and good health behavior (M = 3.06, SD = 0.53). Adversity quotient, stress, and current faculty/college were significant predictors of health behaviors of undergrad students (total variance: 37.2%). Conclusion: Total adversity quotient was the strongest predictor of health behavior, followed by stress and current faculty/colleges. On the basis of our results, we suggested that faculty members, caretakers, and interdisciplinary care teams should consider adversity quotient and stress in developing activities to encourage and promote students' physical and mental health behaviors, particularly during the COVID-19.

Purpose This paper aims to identify and examine burden(s) among stroke survivors’ familial caregivers for the purposes of future mitigation of such burdens. The purpose is so because these caregivers become the persons responsible for monitoring the daily living activities of their patients and are thus tasked with providing and managing a whole host of recovery, therapy and re-integrative activities to rebalance and re-establish the physical, mental and social well-being of patients. Design/methodology/approach This literature review summarized and synthesized existing literature about the burden(s) caregivers experience and the effects upon them across four primary spheres of influence. Findings Familial caregivers of stroke survivors suffer from high levels of “care burden” because they are the primary participant in the planning and provisioning of care to the patients. Care burden is examined across four primary spheres of influence: physical, psychological, social and economic impacts. The current review shows that familial caregivers experience substantive impacts across all four spheres. Originality/value A professional multidisciplinary team should support caregivers of stroke survivors. To do this, support should be considered among the patient’s overall family system, as well as expanded to address and consider the specifically designated caregivers’ social circles which at a minimum often consists of co-workers, friends and inter-familial relationships. Ideally, caregiver support would also consist of medical and professional case workers that can address further, and in an integrative delivery approach, all four of the highlighted spheres of influence to establish a “best practices” orientation to familial caregivers.

Objectives To study the level of mental health literacy and quality of life among patients with stroke and to investigate the relationship between mental health literacy and quality of life. Methods A cross-sectional descriptive study was conducted with 150 purposively selected stroke patients at Sanpasithiprasong Hospital, Ubon Ratchathani, Thailand. Data were collected from October 2019 to March 2020. The research tool consisted of 3 parts: general and clinical data, a mental health literacy questionnaire, and the Thai version of the stroke-specific quality of life scale. Data were analyzed using descriptive statistics and Spearman’s rank correlation coefficient. Results The mean age of participants was 51.80 years (SD 8.62); most were female (65.33%). The level of mental health literacy among patients with stroke was moderate (mean = 3.05, SD = 0.21). The quality of life among patients with stroke was moderate (mean = 3.06, SD = 0.66). The mental health literacy questionnaire yielded a Cronbach’s alpha coefficient of 0.92, and the Thai version of the stroke-specific quality of life scale yielded a Cronbach’s alpha coefficient of 0.96. Mental health literacy was statistically significantly associated with quality of life among patients with stroke (r = 0.484, p < .001). Conclusions The mental health literacy among patients with stroke was moderate as was their quality of life. Mental health literacy was significantly associated with quality of life among patients with stroke. This suggests that emphasizing and promoting mental health literacy among patients with stroke can improve and increase their quality of life. Chiang Mai Medical Journal 2021;60(1):63-74. doi 10.12982/CMUMEDJ.2021.06

Background: There are relatively few reports of neuropsychiatric symptom clusters which affect the quality of life in patients with stroke.Objective: To study neuropsychiatric symptom clusters and the relationship between neuropsychiatric symptom clusters and quality of life among patients with stroke.Methods: This descriptive study conducted in 140 patients with stroke at Sanpasithiprasong Hospital, Ubon Ratchathani, Thailand; they were selected purposively. Data were collected through patient general and clinical information, the neuropsychiatric symptoms assessment, and the 12-item stroke-specific quality of life scale conducted from September 2018 to January 2019. Results: The results illustrated that 12 neuropsychiatric symptoms of patients with stroke embraced 3 symptom clusters were psychosis clusters, behavioral problems clusters, and mood disturbance clusters. (average frequency = 1.58, 2.37, 2.49; and average severity = 2.08, 2.73, 2.82, respectively). Among 3 symptom clusters, psychosis (r = 0.289; P < .01), behavioral problems (r = 0.719; P < .01), and mood disturbance (r = 0.716; P < .01) clusters were statistically significantly associated with all aspects of quality of life.Conclusions: This study showed that neuropsychiatric symptom, especially behavioral problems and mood disturbance clusters were correlated with quality of life among patients with stroke.