Racial/Ethnic Disparity in Association Between Fetal Alcohol Syndrome and Alcohol Intake During Pregnancy: Multisite Retrospective Cohort Study

Background: Alcohol consumption during pregnancy is associated with a range of adverse birth-related outcomes, including stillbirth, low birth weight, preterm birth, and fetal alcohol syndrome (FAS). With more than 10% of women consuming alcohol during pregnancy worldwide, it is increasingly important to understand how racial/ethnic variations affect FAS onset. However, whether race and ethnicity inform FAS risk assessment when daily ethanol intake is controlled for remains unknown. Objective: This study aimed to assess racial/ethnic disparities in FAS risk associated with alcohol consumption during pregnancy. Methods: We used data from a longitudinal cohort study (the Collaborative Initiative on Fetal Alcohol Spectrum Disorders) at 5 hospital sites around the United States of 595 women who consumed alcohol during pregnancy from 2007 to 2017. Questionnaires, in-person interviews, and reviews of medical, legal, and social service records were used to gather data on average alcoholic content (AAC) during pregnancy. Self-reports of maternal race (American Indian/Alaska Native [AI/AN], Asian, Native Hawaiian or other Pacific Islander, Black or African American, White, more than one race, and other) and ethnicity (Hispanic/Latino or not Hispanic/Latino), as well as FAS diagnoses based on standardized dysmorphological criteria, were used for analysis. Log-binomial regression was used to examine the risk of FAS associated with each 1-gram increase in ethanol consumption during pregnancy, stratified by race/ethnicity. Results: A total of 3.4% (20/595) of women who reported consuming alcohol during pregnancy gave birth to a baby with FAS. Women who gave birth to a baby with FAS had a mean AAC of 32.06 (SD 9.09) grams, which was higher than that of women who did not give birth to a baby with FAS (mean 12.07, SD 15.87 grams). AI/AN mothers with FAS babies had the highest AAC (mean 42.62, SD 8.35 grams), followed by White (mean 30.13, SD 4.88 grams) and Black mothers (mean 27.05, SD 12.78 grams). White (prevalence ratio [PR] 1.10, 95% CI 1.03-1.19), Black (PR 1.13, 95% CI 1.04-1.23), and AI/AN (PR 1.10, 95% CI 1.00-1.21) mothers had 10% to 13% increased odds of giving birth to a baby with FAS given the same exposure to alcohol during pregnancy. Regardless of race, a 1-gram increase in AAC resulted in a 4% increase (PR 1.04, 95% CI 1.02-1.07) in the chance of giving birth to a baby with ≥2 facial anomalies (ie, short palpebral fissures, thin vermilion border of the upper lip, and smooth philtrum) and a 4% increase (PR 1.04, 95% CI 1.01-1.07) in the chance of deficient brain growth. Conclusions: The risk of delivering a baby with FAS was comparable among White, Black, and AI/AN women at similar levels of drinking during pregnancy. Regardless of race, a 1-gram increase in AAC resulted in increased odds of giving birth to a baby with facial anomalies or deficient brain growth.ope

Using Technology to Measure Older Adults' Social Networks for Health and Well-Being: A Scoping Review

Background and objectives: Social networks affect the health and well-being of older adults. Advancements in technology (e.g., digital devices and mHealth) enrich our ability to collect social networks and health data. The purpose of this scoping review was to identify and map the use of technology in measuring older adults' social networks for health and social care. Research design and methods: The Joanna Briggs Institute methodology was followed. PubMed (MEDLINE), Sociological Abstracts, SocINDEX, CINAHL, and Web of Science were searched for relevant articles. Conference abstracts and proceedings were searched via Conference Papers Index, the American Sociological Society, and The Gerontological Society of America. Studies published in English from January 2004 to March 2020 that aimed to improve health or social care for older adults and used technology to measure social networks were included. Data were extracted by 2 independent reviewers using an a priori extraction tool. Results: The majority of the 18 reviewed studies were pilot or simulation research conducted in Europe that focused on older adults living in the community. The various types of technologies used can be categorized as environment-based, person-based, and data-based. Discussion and implications: Technology facilitates objective and longitudinal data collection on the social interactions and activities of older adults. The use of technology to measure older adults' social networks, however, is primarily in an exploratory phase. Multidisciplinary collaborations are needed to overcome operational, analytical, and implementation challenges. Future studies should leverage technologies for addressing social isolation and care for older adults, especially during the coronavirus disease 2019 pandemic.ope

Factors Associated With Behavioral and Psychological Symptoms of Dementia: Prospective Observational Study Using Actigraphy

Background: Although disclosing the predictors of different behavioral and psychological symptoms of dementia (BPSD) is the first step in developing person-centered interventions, current understanding is limited, as it considers BPSD as a homogenous construct. This fails to account for their heterogeneity and hinders development of interventions that address the underlying causes of the target BPSD subsyndromes. Moreover, understanding the influence of proximal factors-circadian rhythm-related factors (ie, sleep and activity levels) and physical and psychosocial unmet needs states-on BPSD subsyndromes is limited, due to the challenges of obtaining objective and/or continuous time-varying measures. Objective: The aim of this study was to explore factors associated with BPSD subsyndromes among community-dwelling older adults with dementia, considering sets of background and proximal factors (ie, actigraphy-measured sleep and physical activity levels and diary-based caregiver-perceived symptom triggers), guided by the need-driven dementia-compromised behavior model. Methods: A prospective observational study design was employed. Study participants included 145 older adults with dementia living at home. The mean age at baseline was 81.2 (SD 6.01) years and the sample consisted of 86 (59.3%) women. BPSD were measured with a BPSD diary kept by caregivers and were categorized into seven subsyndromes. Independent variables consisted of background characteristics and proximal factors (ie, sleep and physical activity levels measured using actigraphy and caregiver-reported contributing factors assessed using a BPSD diary). Generalized linear mixed models (GLMMs) were used to examine the factors that predicted the occurrence of BPSD subsyndromes. We compared the models based on the Akaike information criterion, the Bayesian information criterion, and likelihood ratio testing. Results: Compared to the GLMMs with only background factors, the addition of actigraphy and diary-based data improved model fit for every BPSD subsyndrome. The number of hours of nighttime sleep was a predictor of the next day's sleep and nighttime behaviors (odds ratio [OR] 0.9, 95% CI 0.8-1.0; P=.005), and the amount of energy expenditure was a predictor for euphoria or elation (OR 0.02, 95% CI 0.0-0.5; P=.02). All subsyndromes, except for euphoria or elation, were significantly associated with hunger or thirst and urination or bowel movements, and all BPSD subsyndromes showed an association with environmental change. Age, marital status, premorbid personality, and taking sedatives were predictors of specific BPSD subsyndromes. Conclusions: BPSD are clinically heterogeneous, and their occurrence can be predicted by different contributing factors. Our results for various BPSD suggest a critical window for timely intervention and care planning. Findings from this study will help devise symptom-targeted and individualized interventions to prevent and manage BPSD and facilitate personalized dementia care.ope

Machine learning-based predictive models for the occurrence of behavioral and psychological symptoms of dementia: model development and validation

The behavioral and psychological symptoms of dementia (BPSD) are challenging aspects of dementia care. This study used machine learning models to predict the occurrence of BPSD among community-dwelling older adults with dementia. We included 187 older adults with dementia for model training and 35 older adults with dementia for external validation. Demographic and health data and premorbid personality traits were examined at the baseline, and actigraphy was utilized to monitor sleep and activity levels. A symptom diary tracked caregiver-perceived symptom triggers and the daily occurrence of 12 BPSD classified into seven subsyndromes. Several prediction models were also employed, including logistic regression, random forest, gradient boosting machine, and support vector machine. The random forest models revealed the highest area under the receiver operating characteristic curve (AUC) values for hyperactivity, euphoria/elation, and appetite and eating disorders; the gradient boosting machine models for psychotic and affective symptoms; and the support vector machine model showed the highest AUC. The gradient boosting machine model achieved the best performance in terms of average AUC scores across the seven subsyndromes. Caregiver-perceived triggers demonstrated higher feature importance values across the seven subsyndromes than other features. Our findings demonstrate the possibility of predicting BPSD using a machine learning approach.ope

Integration of visual thinking strategies to undergraduate health assessment course: A mixed-method feasibility study

Background: The COVID-19 pandemic has accelerated demands for a shift from traditional face-to-face learning to online learning. Visual Thinking Strategies (VTS) is an inquiry-based teaching method using various visual artworks to improve critical thinking and interpersonal skills. VTS has been studied in health professional education mostly in art gallery settings. Implementing VTS during online learning in nursing education has not yet been investigated. Objectives: This study evaluated the feasibility of incorporating VTS into an undergraduate nursing health assessment course and explored students' perceptions and experiences of VTS. Design: A single-group, posttest-only, concurrent mixed-methods design was used. Setting: This study was conducted in an urban nursing college in Seoul, Korea. Participants: A convenience sample of 60 second-year undergraduate nursing students enrolled in a health assessment course. Methods: We integrated VTS into three skills lab sessions (assessment of older adults, skin assessment, and musculoskeletal system assessment) via on-site sessions or real-time online videoconferencing sessions. Through an online survey, we obtained sociodemographic information, previous VTS experience, measures of teaching orientation, perception of arts-based learning, and VTS evaluation. Additionally, participants were asked to comment on their VTS experiences through free-response questions. Results: Participants rated VTS as an interesting and easy-to-concentrate learning method compared with traditional classes during a COVID-19 pandemic. In participants' narratives, being able to learn diverse perspectives, expanding the scope of thoughts and observations, and sustainable learning were the most commonly positive experiences. A lack of familiarity and the open-ended nature of observations were reported as the most common challenges. Conclusion: Applying VTS in undergraduate nursing education may help students develop critical thinking, communication, and collaboration skills. As an alternative to traditional teaching, implementing VTS via online may have potential to motivate students' engagement to active learning. Future randomized controlled trials are warranted to build evidence on the benefits of VTS.ope

The effectiveness of non-pharmacological interventions using information and communication technologies for behavioral and psychological symptoms of dementia: A systematic review and meta-analysis

Background: Although behavioral and psychological symptoms of dementia are a global public health challenge, non-pharmacological interventions using information and communication technologies can be an affordable, cost-effective, and innovative solution. Objectives: This study aimed to examine the effectiveness of non-pharmacological interventions using information and communication technologies on the behavioral and psychological symptoms of dementia and identify potential moderators of intervention effects. Design: Systematic review and meta-analysis of randomized controlled trials. Methods: A systematic literature review was conducted using PubMed, CINAHL, PsycINFO, Embase, and the Cochrane Library from May 2022. Randomized controlled trials that examined the effects of non-pharmacological interventions using information and communication technologies on the behavioral and psychological symptoms of dementia were included. A meta-analysis using a random-effects model was performed to calculate the pooled standardized mean differences between overall symptoms and each type of symptom. For moderator analyses, subgroup and meta-regression analyses were performed. Results: Sixteen trials (15 articles) met the eligibility criteria. The interventions were grouped into activity engagement interventions using digital health that provided music and reminiscence therapy, physical exercise, social interaction interventions using social robots, and telehealth-based care aid interventions that provided coaching or counseling programs. Pooled evidence demonstrated that non-pharmacological interventions using information and communication technologies exerted a large effect on depression (SMD = -1.088, 95% CI -1.983 to -0.193, p = 0.017), a moderate effect on overall behavioral and psychological symptoms of dementia (SMD = -0.664, 95% CI -0.990 to -0.338, p < 0.001), and agitation (SMD = -0.586, 95% CI -1.130 to -0.042, p = 0.035). No effects on neuropsychiatric symptoms (SMD = -0.251, 95% CI -0.579 to 0.077, p = 0.133), anxiety (SMD = -0.541, 95% CI -1.270 to 0.188, p = 0.146), and apathy (SMD = -0.830, 95% CI -1.835 to 0.176, p = 0.106) were reported. Moderator analyses identified the mean age of the participants as a potential moderator of intervention effects. Conclusions: Evidence from this systematic review and meta-analysis suggests that non-pharmacological interventions, using information and communication technologies, were an applicable approach to managing behavioral and psychological symptoms among older adults with dementia, with moderate to large effect sizes. However, evidence on anxiety and apathy is inconclusive due to the limited number of existing randomized controlled trials. Future studies with subgroup analyses are warranted to conclude the most effective types of intervention using information and communication technologies for each type of symptom. Registration: CRD42021258498.ope

Rejection of Care and Aggression among Older Veterans with Dementia: The Influence of Background Factors and Interpersonal Triggers

Objectives: To test relationships among background factors, interpersonal triggers, rejection of care, and aggression among veterans living with dementia in residential long-term care settings, based on the need-driven dementia-compromised behavior model. Design: A mixed methods secondary analysis of program evaluation data from the Staff Training in Assisted Living Residences-Veterans Health Administration intervention implemented by the US Department of Veterans Affairs healthcare system. Setting and participants: In total, 315 older veterans who participated in the 2013‒2016 Staff Training in Assisted Living Residences-Veterans Health Administration program at 76 Community Living Centers (Veterans Affairs-operated nursing homes). Methods: Text data that captured the interdisciplinary team observations of distressed behaviors of concern and their circumstances were coded into categorical variables and then combined with existing quantitative data to test hypothesized relationships using structural equation modeling. Results: Rejection of care was directly affected by interpersonal triggers (β = 0.32, P < .005) and background factors such as depression (β = 0.29, P < .018), anxiety (β = -0.18, P < .023), and cognitive status (β = 0.10, P < .049). Depression also had an indirect effect on rejection of care through interpersonal triggers (α × β = 0.13 × 0.32 = 0.04, P < .012). Aggression was directly affected by both interpersonal triggers (β = 0.19, P < .009) and functional status (β = 0.17, P < .011). Both function (α × β = 0.12 × 0.19 = 0.02, P < .035) and depression (α × β = 0.13 × 0.19 = 0.03, P < .005) had indirect effects on aggression through interpersonal triggers. Conclusions and implications: Interpersonal triggers influenced rejection of care and aggression in veterans with dementia. Background factors such as depression and severity of functional impairment increased the likelihood of these symptoms. Study findings emphasize the importance of developing and implementing interventions that improve interpersonal relationships and developing targeted interventions for those with depressive symptoms.restrictio

A mixed methods study on the manifestations of behavioural symptoms of dementia among veterans with and without posttraumatic stress disorder

Aims: To explore how behavioural symptoms of dementia are manifested among veterans in residential long-term care settings, in the context of personal, interpersonal/social and environmental triggers and how the manifestations differ between veterans with and without posttraumatic stress disorder. Design: Secondary analysis using a mixed methods approach. Methods: We analysed text data from a stratified random sample of 66 cases derived from the programme evaluation dataset of the Staff Training in Assisted Living Residences-Veterans Health Administration (STAR-VA) intervention from 2013 to 2016, using framework analysis. The detailed behavioural assessment descriptions in this dataset are consistent with contemporary non-pharmacologic symptom management. Qualitative categories were converted to quantitative variables for two group comparisons. Results: Four patterns emerged linking specific types of triggers and behavioural symptoms: (1) unmet physical needs or emotional distress triggers non-aggressive behaviours; (2) unsolicited direct care approach triggers care refusal, resistance or combativeness; (3) interpersonal interactions interfering with self-direction trigger aggressive behaviours; and (4) uncontrolled stimulation from environments trigger non-aggressive behaviours. The organisational culture of care influenced how staff conceptualised behavioural symptoms. Veterans with co-existing posttraumatic stress disorder and dementia tended to exhibit rejection of care with aggression compared to those with dementia alone. Conclusion: Contextualised accounts of behavioural symptoms of dementia revealed symptom heterogeneity, with different clusters of multi-level triggers arising from specific personal, interpersonal and environmental circumstances. Distinct patterns of symptom manifestations between veterans with and without posttraumatic stress disorder suggest a tailored approach is required to meet each veteran's unique biopsychosocial needs. Impact: Classifying behavioural symptoms with their triggers rather than solely by behaviours provides important new information for developing person-centred, non-pharmacological interventions to improve outcomes for veterans with dementia. Multi-level interventions should be considered to meet veteran's needs that account for their earlier life history and current life circumstances.restrictio

Care rejection and aggression among veterans with dementia with and without posttraumatic stress disorder: A multi-group analysis

Background: In residential long-term care, military service veterans with co-occurring posttraumatic stress disorder (PTSD) and dementia encounter a range of physical and social stimuli that may serve as triggers of trauma-related distress that manifests as care rejection or aggression. Yet, PTSD rarely has been examined in research to understand behaviors of care rejection and aggression in veterans with dementia. Objectives: Guided by the need-driven dementia-compromised behavior model, we examined the moderation effect of PTSD on pathways from background factors and interpersonal triggers to rejection of care and aggression among veterans with dementia with and without co-occurring PTSD. Design: Secondary data analysis of the Staff Training in Assisted Living Residences-Veterans Health Administration (STAR-VA) intervention evaluation by the U.S. Veterans Health Administration healthcare system. Setting: 76 Veterans Health Administration-operated nursing homes. Participants: 315 veterans with dementia who participated in STAR-VA. Methods: We converted text data on the occurrence of care rejection and aggression to binary variables, combined them with data on sociodemographic and PTSD status obtained using medical chart review, and measured anxiety, cognition, depression, and function using validated instruments. A multi-group structural equation modeling analysis was then conducted to test the moderating effect of PTSD on rejection of care and aggression. Results: Although multi-group structural equation modeling did not support the hypothesis of overall moderation by PTSD, distinct patterns between the two groups were observed with respect to how background factors and interpersonal triggers related to care rejection and aggression. The magnitude of the direct effects of interpersonal triggers on rejection of care was greater in veterans with PTSD (β = 0.42, p = .014 compared to those without β = 0.29, p = .008). Depression had a statistically significant indirect effect on rejection of care via interpersonal triggers only in veterans with PTSD (β = 0.09, p = .009). Functional status had a statistically significant direct effect on aggression only in the PTSD group (β = 0.28, p = .044). Conclusions: Our study identified similar and distinct patterns of relationships among background factors, interpersonal triggers, and rejection of care and aggression between veterans with dementia with and without PTSD. The indirect effect of depression on care rejection via interpersonal triggers has implications for developing targeted interventions that focus on interpersonal triggers for veterans with dementia with PTSD who have greater depressive symptoms. This study underscores the importance of an enhanced focus on trauma-informed care for veterans with dementia and PTSD.restrictio