Train-your-brain program to reduce depression, anxiety, and stress in stroke survivors: a pilot community-based cognitive intervention study.

Introduction: Stroke is a major cause of death and disability worldwide, and it often results in depression, anxiety, stress, and cognitive impairment in survivors. There is a lack of community-based cognitive interventions for stroke survivors. This pilot single trial aimed to assess the feasibility, acceptability, and perceived effectiveness of a community-based cognitive intervention program called Train-Your-Brain (TYB) for stroke survivors and caregivers. The study focused on improvements in emotional and psychological well-being, as well as cognitive functioning. Methods: A quasi-experimental design was used in this study. A total of 48 participants were recruited and assessed using Depression, Anxiety, Stress Scale - 21 items (DASS-21), Montreal Cognitive Assessment (MoCA) and Symbol Digits Modality Test (SDMT) before and after the intervention. The TYB program consisted of nine sessions and was conducted via the Zoom software application. Participants provided feedback on the program, highlighting areas for improvement. Results: Twenty-seven stroke survivors and 21 caregivers completed the program. Participants expressed high satisfaction with the TYB program but recommended avoiding assessments in December and customizing the program for stroke survivors and caregivers. Stroke survivors showed significant improvements in depression and stress scores, while caregivers experienced no significant improvements after the program. While there was a slight improvement in stroke survivors' cognitive scores after the program, it was not statistically significant. Caregivers, however, experienced a significant decline in cognitive scores. Discussion: The TYB program provided group support and validation, resulting in improved mood and reduced stress among stroke survivors. Cultural collectivism played a significant role in fostering group cohesion. However, the program's limited focus on caregivers and timing of assessments during the December holidays may have affected the outcomes. The TYB program demonstrated feasibility and potential effectiveness in alleviating psychological distress and enhancing cognitive function among stroke survivors. Future research should explore long-term effects, larger sample sizes, and non-English-speaking populations to enhance generalizability. Tailored interventions for caregivers are necessary.

Young Adults' Use of Mobile Food Delivery Apps and the Potential Impacts on Diet During the COVID-19 Pandemic: Mixed Methods Study.

BACKGROUND: A poor diet contributes substantially to the development of noncommunicable diseases. In Singapore, it is recommended to consume at least 2 servings of fruits and vegetables daily to reduce the risk of developing noncommunicable diseases. However, the adherence rate among young adults is low. The COVID-19 pandemic has led to frequent users of mobile food delivery apps (MFDAs) adopting unhealthy eating habits, including high consumption of sugar-sweetened beverages, making it crucial to gain a deeper understanding of the underlying factors driving their use patterns. OBJECTIVE: We aimed to examine the use patterns of MFDAs among young adults during the COVID-19 pandemic; investigate the association between MFDA use and sociodemographic factors, dietary factors, and BMI; identify the underlying reasons for the observed use patterns of MFDAs among users; and compare the influences of MFDA use between frequent and infrequent users. METHODS: A sequential mixed methods design was used involving a web-based survey and in-depth interviews with a subset of respondents. Poisson regression and thematic analysis were used to analyze the quantitative and qualitative data, respectively. RESULTS: The quantitative results revealed that 41.7% (150/360) of participants reported using MFDAs frequently, defined as at least once a week. Although not substantial, the study found that frequent users were less likely to consume 2 servings of vegetables per day and more likely to drink sugar-sweetened beverages. Nineteen individuals who had participated in the quantitative component were selected for and completed the interviews. Qualitative analysis identified 4 primary themes: deliberations about other sources of meals versus meals purchased via MFDAs, convenience is vital, preference for unhealthy meals ordered from MFDAs most of the time, and cost is king. Before making any purchase, MFDA users consider all these themes at the same time, with cost being the most important influential factor. A conceptual framework based on these themes was presented. Lack of culinary skills and COVID-19 restrictions were also found to influence frequent use. CONCLUSIONS: This study suggests that interventions should focus on promoting healthy dietary patterns in young adults who frequently use MFDAs. Teaching cooking skills, especially among young male individuals, and time management skills could be useful to reduce reliance on MFDAs. This study highlights the need for public health policies that make healthy food options more affordable and accessible. Given the unintended changes in behavior during the pandemic, such as reduced physical activity, sedentary behavior, and altered eating patterns, it is essential to consider behavior change in interventions aimed at promoting healthy lifestyles among young adults who frequently use MFDAs. Further research is needed to evaluate the effectiveness of interventions during COVID-19 restrictions and assess the impact of the post-COVID-19 new normal on dietary patterns and physical activity levels.

Investigating Psychological Differences Between Nurses and Other Health Care Workers From the Asia-Pacific Region During the Early Phase of COVID-19: Machine Learning Approach.

BACKGROUND: As the COVID-19 pandemic evolves, challenges in frontline work continue to impose a significant psychological impact on nurses. However, there is a lack of data on how nurses fared compared to other health care workers in the Asia-Pacific region. OBJECTIVE: This study aims to investigate (1) the psychological outcome characteristics of nurses in different Asia-Pacific countries and (2) psychological differences between nurses, doctors, and nonmedical health care workers. METHODS: Exploratory data analysis and visualization were conducted on the data collected through surveys. A machine learning modeling approach was adopted to further discern the key psychological characteristics differentiating nurses from other health care workers. Decision tree-based machine learning models (Light Gradient Boosting Machine, GradientBoost, and RandomForest) were built to predict whether a set of psychological distress characteristics (ie, depression, anxiety, stress, intrusion, avoidance, and hyperarousal) belong to a nurse. Shapley Additive Explanation (SHAP) values were extracted to identify the prominent characteristics of each of these models. The common prominent characteristic among these models is akin to the most distinctive psychological characteristic that differentiates nurses from other health care workers. RESULTS: Nurses had relatively higher percentages of having normal or unchanged psychological distress symptoms relative to other health care workers (n=233-260 [86.0%-95.9%] vs n=187-199 [74.8%-91.7%]). Among those without psychological symptoms, nurses constituted a higher proportion than doctors and nonmedical health care workers (n=194 [40.2%], n=142 [29.5%], and n=146 [30.3%], respectively). Nurses in Vietnam showed the highest level of depression, stress, intrusion, avoidance, and hyperarousal symptoms compared to those in Singapore, Malaysia, and Indonesia. Nurses in Singapore had the highest level of anxiety. In addition, nurses had the lowest level of stress, which is the most distinctive psychological outcome characteristic derived from machine learning models, compared to other health care workers. Data for India were excluded from the analysis due to the differing psychological response pattern observed in nurses in India. A large number of female nurses emigrating from South India could not have psychologically coped well without the support from family members while living alone in other states. CONCLUSIONS: Nurses were least psychologically affected compared to doctors and other health care workers. Different contexts, cultures, and points in the pandemic curve may have contributed to differing patterns of psychological outcomes amongst nurses in various Asia-Pacific countries. It is important that all health care workers practice self-care and render peer support to bolster psychological resilience for effective coping. In addition, this study also demonstrated the potential use of decision tree-based machine learning models and SHAP value plots in identifying contributing factors of sophisticated problems in the health care industry.

Exploring predictors of medication adherence among inpatients with schizophrenia in Singapore's mental health settings: A non-experimental study.

Schizophrenia is a mental disorder, which is marked by frequent relapses. The main reason for relapse is nonadherence to antipsychotics. A cross-sectional, correlational research study was conducted with a convenience sample of 92 participants. The primary aim of this study was to explore the predictors of medication adherence among inpatients with schizophrenia hospitalised at tertiary hospitals in Singapore. Post-hoc analysis revealed that insight, religion, side effects, types of antipsychotics, social support from significant others, nurse-client relationship, were significant predictive factors. Results from this study added knowledge to the nursing literature about medication adherence of schizophrenia patients and in Singapore setting.

Nurses' perception of knowledge, attitudes and reported practice towards patients with eating disorders: A concurrent mixed-methods study.

Eating disorders are complex disorders requiring specialised care, thus knowledge and attitudes are crucial for management. This study aims to examine nurses' knowledge, attitudes, reported practice, and perceptions towards patients with eating disorders in Singapore. A concurrent mixed-methods study was carried out in Southeast Asia's only psychiatric unit with eating disorders programme. Twenty nurses were recruited using census sampling. Quantitative data were analysed with descriptive and inferential statistics, while qualitative data were analysed with content and thematic analysis. Certain personal factors were associated with nurses' levels of perceived knowledge. Different attitudes towards managing these patients were identified during interview sessions.

Knowledge, Attitudes and Challenges of Healthcare Professionals Managing People With Eating Disorders: A Literature Review.

This review consolidates findings regarding knowledge and attitudes of healthcare professionals, together with challenges faced while caring for patients with eating disorders. A rigorous and systematic approach was taken to identify 21 articles, which include 12 quantitative, 7 qualitative, and 2 mixed-method papers. Healthcare professionals' knowledge and attitudes toward patients with eating disorders will be discussed, while identifying if factors like age, gender, work experience or profession have an impact on these two variables. Challenges faced during care provision will also be examined. Methodological limitations and knowledge gaps from these articles will be discussed, together with implications of this review.

Factors Affecting Medication Adherence Among Adults with Schizophrenia: A Literature Review.

This review aimed to summarize empirical evidence concerning factors relating to medication adherence among patients with schizophrenia. A comprehensive search was implemented to recruit articles which met the present eligibility criteria. Twenty-five articles were included whereby only one was a qualitative study. Greater awareness of illness (insight), previous history of medication adherence, positive attitude toward medication, types of atypical antipsychotics, less severe psychotic symptoms, and social support were identified as factors of medication adherence. Knowledge gaps and methodological limitations were also identified. Implications to clinical practice include providing psychoeducation to patients by increasing their knowledge about illness and medication.

Management of bulimia nervosa: a case study with the Roy adaptation model.

Bulimia nervosa is a crippling and chronic disorder, with individuals experiencing repeated binge-purge episodes. It is not widely understood by society. The use of the Roy adaptation model for the management of bulimia nervosa is examined in this article. Nursing models are utilized to provide a structure for planning and implementation of patient management. The Roy adaptation model focuses on the importance of individuals as able to adapt well to their changing surrounding environments. This model can be useful in managing patients with bulimia nervosa.