Community-based Data Research Articles

Data reporting quality and semantic interoperability increase with community-based data elements (CoDEs). Analysis of the open data commons for spinal cord injury (ODC-SCI).

Data interoperability is crucial for effectively combining data for scientific inquiry. To facilitate interoperability, data standards such as a common definition of variables are often developed. The Open Data Commons for Spinal Cord Injury (odc-sci.org) has established an initial set of community-based data elements (CoDEs)-a minimal set of variables for sharing-to promote data interoperability in SCI research, aligning with FAIR (Findable, Accessible, Interoperable, and Reusable) data principles. We sought to understand the use of CoDEs by the SCI community to inform current standards adherence and future standards development. We systematically analyzed 39 public datasets in relation to 17 required CoDEs and found variations between reported data and the structure specified by the CoDEs. Overall, we found that the enforcement of data standards improved reporting rates of CoDEs variables. Notably, different variables were found to require different levels of curation to ensure semantic equivalence among datasets. We also uncovered specific reporting habits of researchers such as formatting and naming patterns. A need for different data standards based on the nature of the study (e.g., human study, derivative study) was realized alongside a detailed list of issues that should be addressed when implementing such standards. Among the various approaches to developing data standards, ODC-SCI adopted a semi-formal approach by creating standards that are easy to adopt by the user. Our data-driven evaluation of actual reporting behavior shows that this flexibility can lead to subsequent problems in harmonization. This study serves as a baseline analysis of reporting behaviors for shaping and facilitating data standards.

Using vessels of opportunity for determining important habitats of bottlenose dolphins in Port Phillip Bay, south-eastern Australia.

Understanding species' critical habitat requirements is crucial for effective conservation and management. However, such information can be challenging to obtain, particularly for highly mobile, wide-ranging species such as cetaceans. In the absence of systematic surveys, alternative economically viable methods are needed, such as the use of data collected from platforms of opportunity, and modelling techniques to predict species distribution in un-surveyed areas. The present study used data collected by ecotourism and other vessels of opportunity to investigate important habitats of a small, poorly studied population of bottlenose dolphins in Port Phillip Bay, south-eastern Australia. Using 16 years of dolphin sighting location data, an ensemble habitat suitability model was built from which physical factors influencing dolphin distribution were identified. Results indicated that important habitats were those areas close to shipping channels and coastlines with these factors primarily influencing the variation in the likelihood of dolphin presence. The relatively good performance of the ensemble model suggests that simple presence-background data may be sufficient for predicting the species distribution where sighting data are limited. However, additional data from the center of Port Phillip Bay is required to further support this contention. Important habitat features identified in the study are likely to relate to favorable foraging conditions for dolphins as they are known to provide feeding, breeding, and spawning habitat for a diverse range of fish and cephalopod prey species. The results of the present study highlight the importance of affordable community-based data collection, such as ecotourism vessels, for obtaining information critical for effective management.

Burden of hepatitis B in asymptomatic blood donor population of India: A systematic review & meta-analysis.

Background & objectives India has been classified as an intermediate Hepatitis B Virus (HBV) endemic country, and the transmission is believed to mostly occur horizontally. However, community-based data on HBV prevalence among blood donors in India are limited. The burden of Hepatitis B Virus (HBV) is unknown in the asymptomatic blood donor population. We therefore conducted a meta-analysis to assess the prevalence of the HBV among the blood donor population in India. Methods We searched different databases for research articles on the prevalence of HBV in the blood donor population from India. Following the PRISMA guidelines, forty articles published between January 2013 and October 20, 2023, were selected for meta-analysis after removing duplicates and conducting a two-level screening process. Review Manager Version 5.3 (Rev Man 5.4) was used for statistical meta-analysis. The study has been registered with PROSPERO (number CRD42023487616). Results Forty articles were selected out of the 527 published manuscripts for meta-analysis, and a total of 22,22,736 blood donations were studied. Of these, 24,151 individuals (1.11%) were identified either as chronically infected with HBV or living with HBV infection. A pooled prevalence of approximately 1.11 per cent with a 95% confidence interval (CI) of (0.011; 0.0112) (common effect model) or 95% CI of (0.0079; 0.0116) (random effects model) was estimated. The included studies exhibited a high level of heterogeneity, probably due to different diagnostic approaches followed in different studies. Interpretation & conclusions The burden of hepatitis is profound, impacting public health, economies, and societies in India. The outcome of this study would help address such a burden and develop comprehensive strategies focused on prevention, early diagnosis, treatment, and necessary collaboration to achieve significant reductions in hepatitis-related morbidity and mortality.

Learning From Community-Based Efforts Toward Shared Responsibility for Climate and Environmental Justice

In this exploratory inquiry, the research team investigates community-based data practices in climate and environmental justice initiatives. We set out to learn from the long history and current activities of communities seeking to hold corporate and government actors responsible to enact care for the climate and environment (e.g., monitoring air quality and waterways affected by petrochemical industries). Through a critical intersectional care ethics lens, we follow how groups respond to harms to ecosystems and seek healing, positioning their epistemic authority as they work with data (e.g., Ottinger, 2023; Puig de la Bellacasa, 2017). This work draws insights from inquiries which have examined how communities engage with climate action and efforts toward environmental sustainability (e.g., dos Santos et al., 2024; Kaczmarek, 2023; Nathan, 2012). Through a poster reporting on preliminary research, we share early analyses highlighting communities’ labor of resisting corporate delay, denial, and other dis- and mal-information practices, which slow or block urgently needed action and truth-telling. Methods involve analysis of archival records created by and about communities affected by the Love Canal toxic waste crisis in Western New York. The project aims to appreciate differences and similarities in community-based data practices, identifying further possibilities for information professionals and libraries, archives, and museums to uphold these data practices and associated knowledge and memory work, research, and storytelling. In turn, the team proposes future work to trace the development of community-based practices with climate and environmental data over time.

A Comparison of an Australian Observational Longitudinal Alzheimer's Disease Cohort to Community-Based Australian Data.

Observational Alzheimer's disease (AD) cohorts including the Australian, Biomarkers, Imaging and Lifestyle (AIBL) Study have enhanced our understanding of AD. The generalizability of findings from AIBL to the general population has yet to be studied. We aimed to compare characteristics of people with AD dementia in AIBL to 1) the general population of older Australians using pharmacological treatment for AD dementia, and to 2) the general population of older Australians who self-reported a diagnosis of dementia. Descriptive study comparing people aged 65 years of over (1) in AIBL that had a diagnosis of AD dementia, (2) dispensed with pharmacological treatment for AD in Australia in 2021 linked to the Australian census in 2021 (refer to as PBS/census), (3) self-reported a diagnosis of dementia in the 2021 Australian census (refer to as dementia/census). Baseline characteristics included age, sex, highest education attainment, primary language, and medical co-morbidities. Participants in AIBL were younger, had more years of education, and had a lower culturally and linguistically diverse (CALD) population compared to the PBS/census cohort and dementia/census cohort (mean age±standard deviation - AIBL 79±7 years, PBS/census 81±7, p < 0.001, dementia/census 83±8, p < 0.001; greater than 12 years of education AIBL 40%, PBS/census 35%, p = 0.020, dementia/census 29%, p < 0.001; CALD - AIBL 3%, PBS/census 20%, p < 0.001, dementia/census 22%, p < 0.001). Our findings suggest that care should be taken regarding the generalizability of AIBL in CALD populations and the interpretation of results on the natural history of AD.

Epidemiological Profile and Awareness Regarding Animal Bite Management in an Urban Area.

The most common way for people to contract the deadly zoonotic disease rabies is through animal bites. This study was designed because there is a shortage of community-based data to determine the true extent of rabies infection and a lack of understanding regarding patient misconceptions in urban areas. The objective was to determine the scope of the issue and the epidemiological features of animal bite incidents. This was a facility-based cross-sectional study conducted at the field practice area (Urban Health Training Centre) under the Department of Community Medicine, Government Medical College. The study duration was one year (May 2023 to April 2024). Consecutive patients (accompanied by an attendant) attending the Urban Health Training Centre were included in the study. A purposive sampling technique was used, and around 400 animal bite cases were recorded in one year at the Urban Health Training Centre. Out of 1503 male cases at the Urban Health Training Centre, around 255 were dog bite cases (50.6%), whereas out of 1302 females visiting the Urban Health Training Centre, around 145 were dog bite cases (48%). The majority (35%) belonged to the age group of 11 to 20 years for both males and females. The mean age of the cases was 19.4 ± 3.4 years. The study found a male preponderance (64%), with females constituting 36%. The right lower limb (49.5%), left lower limb (39%), and upper limb were the most frequently bitten sites. Fifty-one percent of the cases fell into Category II. According to local data, the most popular home management practices were ghee oil and cold treatments. Although Category III is the most severe bite, only 35% had taken the anti-rabies vaccine (ARV), and 8.75% had received rabies immunoglobulin. The public and medical community need to be made aware of the importance of wound care and the prudent use of the anti-rabies vaccine.

Prevalence and incidence measures for schizophrenia among commercial health insurance and medicaid enrollees

Given the chronic nature of schizophrenia, it is important to examine age-specific prevalence and incidence to understand the scope of the burden of schizophrenia across the lifespan. Estimates of lifetime prevalence of schizophrenia have varied widely and have often relied upon community-based data estimates from over two decades ago, while more recent studies have shown considerable promise by leveraging pooled datasets. However, the validity of measures of schizophrenia, particularly new onset schizophrenia, has not been well studied in these large health databases. The current study examines prevalence and validity of incidence measures of new diagnoses of schizophrenia in 2019 using two U.S. administrative health databases: MarketScan, a national database of individuals receiving employer-sponsored commercial insurance (N = 16,365,997), and NYS Medicaid, a large state public insurance program (N = 4,414,153). Our results indicate that the prevalence of schizophrenia is over 10-fold higher, and the incidence two-fold higher, in the NYS Medicaid population compared to the MarketScan database. In addition, prevalence increased over the lifespan in the Medicaid population, but decreased in the employment based MarketScan database beginning in early adulthood. Incident measures of new diagnoses of schizophrenia had excellent validity, with positive predictive values and specificity exceeding 95%, but required a longer lookback period for Medicaid compared to MarketScan. Further work is needed to leverage these findings to develop robust clinical outcome predictors for new onset of schizophrenia within large administrative health data systems.

Evaluating the Effects of Long-Term Exposure to Fine Particulate Matter (PM2.5) on Depressive Mood among Korean Older Adults Using Multilevel Analysis.

The harmful effects of particulate matter (PM) are amplified in older adults, who experience a decline in physiological function, reducing their ability to expel and detoxify inhaled PM. Moreover, older adults may be more vulnerable to fine particulate toxicity due to underlying medical conditions. We assessed the effects of long-term exposure to fine particulate matter (PM2.5) on depressive mood (DM) in adults aged > 65 yr using community-based data. In the 2017, Korean Community Health Survey (KCHS) data, data of PM2.5 and community factors were constructed based on participants who responded to DM in a sample of 67,802 individuals. To evaluate the effect of PM2.5 on DM among older adults, a multilevel regression model was constructed using individual-(KCHS) and community-level data (PM2.5, green area per capita, urban area, social welfare budget, health, and social business). For PM2.5, an independent variable, quartiles were used to classify regions according to concentration. A positive correlation was found between PM2.5 and DM of older adults. Compared to Q1, the odds ratio increased to 1.15 (95% CI 0.76-1.74) in Q2, 1.55 (95% CI 1.02-2.35) in Q3, and 1.60 (95% CI 1.16-2.20) in Q4. DM may increase in older individuals living in areas with high PM2.5. Systematic mental health management is required for older individuals residing in such areas.

What do the blind feel? Psychological distress and satisfaction with life of blind persons: A community-based study.

Progressive loss of visual acuteness is known to be associated with anxiety, insecurity, loss of independence, and altered social functioning, which may lead to low mood and subsequently depression. Emotionally adjusting to vision loss can dramatically change one's independence. Reduced workplace productivity in adults with visual impairment is associated with lower rates of workforce participation and increased rates of anxiety and depression. Most studies for psychological comorbidities in the legally blind population are conducted in individuals who present to the psychiatry or psychology department/clinics or to facilities for blindness certification. Due to the paucity of community-based data in the Indian scenario, the current study was undertaken. To evaluate the psychological distress and satisfaction with life of people who were diagnosed as blind in the community. The sample was based on the identification of blind persons in a door-to-door screening for eye and vision problems in 44535 individuals conducted in 2015-16 in the middle to lower socioeconomic populations in the suburban area of Yerawada, Maharashtra. Those who were suspected of having low vision underwent a detailed clinical examination including visual acuity estimation, portable slit lamp examination, I-Kare tonometry, and fundoscopy, conducted by an ophthalmologist to assess and verify the lack of vision. Subsequently, the General Health Questionnaire-12 (GHQ-12) and Satisfaction with Life Scale (SWLS) were also applied upon revisiting the participants in 2020-2021. The majority of participants were middle-aged or elderly and no significant gender variation was noted in terms of blindness. Maximum psychological disability was seen after 6 to 15 years after the onset of blindness. More than 80% of the patients with complete blindness had some psychiatric comorbidity or distress and more than half reported that their daily activities were affected due to their diagnosis. Blind persons had significantly higher scores on the GHQ-12 and significantly lower scores on SWLS. Complete blindness was positively correlated with GHQ-12 scores and negatively correlated with SWLS scores and the age of the subject. This study demonstrates that psychological distress and low levels of satisfaction with life are common among the severely visually impaired and blind. There is a dire need to improve access to rehabilitation services and psychological support for the blind and their caregivers.

Variable selection and prediction performance of penalized two-part regression with community-based crime data application

Variable selection and prediction performance of penalized two-part regression with community-based crime data application

Oral History and the Climate Crisis: Listening in the Aftermath of Disaster

ABSTRACT This article provides an overview of the multiple interrelated facets of the on-campus and university-community climate justice projects developed by individuals at the Oral History Lab/Laboratorio de Historia Oral at the University of Puerto Rico at Mayagüez (UPRM). Beginning with a discussion of our oral history and documentary filmmaking program for students at UPRM and our workshop series for mutual aid organizations across the archipelago, this article explores the value of eyewitness testimony and experiential knowledge in resituating narrators who have been disempowered by disaster and/or marginalization, in contributing to global conversation about the climate crisis, and in developing ethical approaches to postdisaster research that employ decolonial and anti-racist methodologies and trauma-informed approaches. Ultimately, this article frames the qualitative, community-based data sets present in postdisaster oral histories as essential information for members of our frontline communities and the external stakeholders of policymakers, responders, and researchers who are making decisions that directly impact these communities.

Modeling the transmission of antibiotic-resistant Enterobacterales in the community: A systematic review

BackgroundAntibiotic-resistant Enterobacterales (ARE) are a public health threat worldwide. Dissemination of these opportunistic pathogens has been largely studied in hospitals. Despite high prevalence of asymptomatic colonization in the community in some regions of the world, less is known about ARE acquisition and spread in this setting. As explaining the community ARE dynamics has not been straightforward, mathematical models can be key to explore underlying phenomena and further evaluate the impact of interventions to curb ARE circulation outside of hospitals. MethodsWe conducted a systematic review of mathematical modeling studies focusing on the transmission of AR-E in the community, excluding models only specific to hospitals. We extracted model features (population, setting), formalism (compartmental, individual-based), biological hypotheses (transmission, infection, antibiotic impact, resistant strain specificities) and main findings. We discussed additional mechanisms to be considered, open scientific questions, and most pressing data needs. ResultsWe identified 18 modeling studies focusing on the human transmission of ARE in the community (n=11) or in both community and hospital (n=7). Models aimed at (i) understanding mechanisms driving resistance dynamics; (ii) identifying and quantifying transmission routes; or (iii) evaluating public health interventions to reduce resistance. To overcome the difficulty of reproducing observed ARE dynamics in the community using the classical two-strains competition model, studies proposed to include mechanisms such as within-host strain competition or a strong host population structure. Studies inferring model parameters from longitudinal carriage data were mostly based on models considering the ARE strain only. They showed differences in ARE carriage duration depending on the acquisition mode: returning travelers have a significantly shorter carriage duration than discharged hospitalized patient or healthy individuals. Interestingly, predictions across models regarding the success of public health interventions to reduce ARE rates depended on pathogens, settings, and antibiotic resistance mechanisms. For E. coli, reducing person-to-person transmission in the community had a stronger effect than reducing antibiotic use in the community. For Klebsiella pneumoniae, reducing antibiotic use in hospitals was more efficient than reducing community use. ConclusionsThis study raises the limited number of modeling studies specifically addressing the transmission of ARE in the community. It highlights the need for model development and community-based data collection especially in low- and middle-income countries to better understand acquisition routes and their relative contribution to observed ARE levels. Such modeling will be critical to correctly design and evaluate public health interventions to control ARE transmission in the community and further reduce the associated infection burden.

Development and validation of a prediction model for falls among older people using community-based data.

The aim of this study was to develop a calculation tool to predict the risk of falls 1year in the future and to find the cutoff value for detecting a high risk based on a database of individuals who participated in a community-based group exercise. We retrospectively reviewed a total of 7726 physical test and Kihon Checklist data from 2381 participants who participated in community-based physical exercise groups. We performed multilevel logistic regression analysis to estimate the odds ratio of falls for each risk factor and used the variance inflation factor to assess collinearity. We determined a cutoff value that effectively distinguishes individuals who are likely to fall within a year based on both sensitivity and specificity. The final model included variables such as age, sex, weight, balance, standing up from a chair without any aid, history of a fall in the previous year, choking, cognitive status, subjective health, and long-term participation. The sensitivity, specificity, and best cutoff value of our tool were 68.4%, 53.8%, and 22%, respectively. Using our tool, an individual's risk of falls over the course of a year could be predicted with acceptable sensitivity and specificity. We recommend a cutoff value of 22% for use in identifying high-risk populations. The tool may benefit healthcare workers in screening community-dwelling older adults with various levels of risk for falls and support physicians in planning preventative and follow-up care.

Association of Age with Dual-Task Objective Cognitive Indicators and Gait Parameters in Older Adults.

Early recognition of dementia like Alzheimer's disease is crucial for disease diagnosis and treatment, and existing objective tools for early screening of cognitive impairment are limited. To investigate age-related behavioral indicators of dual-task cognitive performance and gait parameters and to explore potential objective markers of early cognitive decline. The community-based cognitive screening data was analyzed. Hierarchical cluster analysis and Pearson correlation analysis were performed on the 9-item subjective cognitive decline (SCD-9) scores, walking-cognitive dual-task performance, walking speed, and gait parameters of 152 participants. The significant differences of indicators that may related to cognitive decline were statistically analyzed across six age groups. A mathematical model with age as the independent variable and motor cognition composite score as the dependent variable was established to observe the trend of motor cognition dual-task performance with age. Strong correlation was found between motor cognitive scores and SCD and age. Gait parameters like the mean value of ankle angle, the left-right difference rate of ankle angle and knee angle and the coefficient of variation of gait cycle showed an excellent correlation with age. Motor cognition scores showed a decreasing trend with age. The slope of motor cognition scores with age after 50 years (k = -1.06) was six times higher than that before 50 years (k = -0.18). Cognitive performance and gait parameters in the walking-cognitive dual-task state are promising objective markers that could characterize age-related cognitive decline.

Current Status and Barriers of Exercise in Individuals with Spinal Cord Injuries in Korea: A Survey.

This study investigated exercise participation, health status, and barriers to exercise in 109 individuals with spinal cord injury (SCI) using a self-report questionnaire. The responses of the exercise and non-exercise groups were statistically analyzed using t-tests or Fisher's exact test. Significant differences were observed in the cause of injury and the American Spinal Injury Association Impairment Scale between the groups. The non-exercise group had a higher incidence of traumatic and complete injuries. Demographic factors such as gender, age, income level, and marital status did not significantly influence exercise participation. The exercise group reported lower pain scores, less inconvenience from complications, and higher activity and participation scores. However, less than half of the individuals with SCI met the recommended exercise intensity, and community facility usage was low. Barriers to exercise participation included severe disabilities, lack of time, insufficient exercise information, and lack of facility accessibility. To enhance exercise among individuals with SCI, it is essential to develop and extend exercise programs tailored to individual physical factors and a comprehensive understanding of barriers. Prioritizing community-based data management, alongside developing social systems and health policies, is crucial to overcome barriers to exercise participation for individuals with SCI.

Engaging Community Health Workers to Enhance Modern Contraceptive Uptake Among Young First-Time Parents in Five Cities of Uttar Pradesh.

Young newly married women and first-time parents (FTPs), particularly those living in slum settlements, have a high unmet need for modern contraceptive methods to limit and space births. We describe an intervention in which adolescents and youth sexual and reproductive health (AYSRH) services tailored to FTPs were incorporated into the government's existing family planning (FP) program in 5 cities of Uttar Pradesh. We examined the effect of this intervention on modern contraceptive use among FTPs aged 15-24 years. To assess the effect of this pilot, in 2019, 1 year after the implementation of the program, we analyzed community-based output tracking survey data on 549 married women who are FTPs in the pilot cities. These FTPs were compared with 253 women who were FTPs from other cities where the program was implemented without a specific focus on FTPs. Descriptive statistics and multivariate logistic regression analysis were applied to understand the association between exposure to FP information, either through accredited social health activists or through service delivery points, and use of modern contraceptives. Use of modern contraceptives was higher among FTPs in the 5 pilot cities than non-pilot cities (39% vs. 32%; P<.05). The interaction effect of city type and exposure to the information showed a positive association between modern contraceptive use and program exposure, greater in pilot cities than non-pilot cities. Higher uptake of modern contraceptives among young women may be achieved when an FTP-focused intervention is layered on the government's existing FP programs. Future studies with a longer duration of implementation, in a wider geography, and with longitudinal design are recommended to provide more robust measures of high impact intervention/practices in urban areas.

Abstract P464: Performance of an Automated Sleep Scoring Approach for Actigraphy Data in Children and Adolescents

Background: Actigraphy has advanced the measurement of sleep for cardiometabolic research in childhood. However, actigraphy methods lack standardization, limiting rigor and reproducibility. GGIR, an open-source R package, facilitates raw accelerometer data processing to generate sleep data in a standardized manner. This tool has been validated and applied to adult data, but less is known about the suitability of this tool for generating sleep estimates among children. We aimed to (1) determine the validity of multiple sleep scoring settings available within GGIR in children, and (2) evaluate how this tool automatically generates sleep data in community-based pediatric studies. Method: The validation study included 30 children (14 female, 8-16y) referred for in-lab overnight polysomnography at Children’s Hospital of Philadelphia. Participants wore a GENEActiv during polysomnography that captured data at 50 Hz, which were aligned into 30-second epochs against the sleep stages from polysomnography scored by a sleep medicine physician. Balanced accuracy was the primary validation metric, which is the average of sensitivity and specificity. For community-based testing, three pediatric cohorts were used: Study 1 (Philadelphia; 12-16y; GENEActiv, N=251), Study 2 (Mexico City, 9-18y; ActiGraph GT3X-BT; N=543), and Study 3 (Houston; 5-8y; ActiGraph GT3X+, N=226). We processed raw accelerometry data with the Cole-Kripke (CK), Sadeh (S), and Van Hees (VH) algorithm settings. Result: For in-lab validation, 271.5 hours of polysomnography data were collected with 80% of the epochs scored as sleep; sleep duration averaged 7.3 hours (SD = 1.3). In rank order, average balanced accuracies were 0.81 (SD = 0.08) for GGIR-CK, 0.77 (SD = 0.09) for GGIR-VH, and 0.68 (SD = 0.11) for GGIR-S. The GGIR-S algorithm had the poorest detection of night awakenings (specificity: 0.38 [SD = 0.21]). For community-based data, without manually altering the data, the average sleep duration was highest when using the Sadeh algorithm in each study (8.3 [SD = 1.6], 8.0 [SD = 1.9], and 5.2 [SD = 4.4] hours for studies 1-3) and lower when using the GGIR-CK algorithm (7.1 [SD = 1.4], 6.9 [SD = 1.7], 4.3 [SD = 3.7] hours for studies 1-3). Approximately 2% of the data were affected by obvious errors (e.g., negative wake after sleep onset), with almost all such errors detected with the Sadeh algorithm. Conclusion: In a controlled setting, GGIR-CK had the optimal balanced accuracy performance for estimating sleep duration in children. In keeping with the lab-based finding of poorer detection of night awakenings, sleep duration was highest in the community samples when using GGIR-S. When applied to community-based data the automated GGIR approach generated sleep data that included errors, necessitating additional data cleaning. Incorporating standardized data cleaning steps within GGIR would improve rigor and reproducibility.

Association of handgrip strength with suicidal ideation among adults aged ≥50 years from low- and middle-income countries.

This study aimed to investigate the association between handgrip strength and suicidal ideation in representative samples of adults aged ≥50 years from six LMICs (China, Ghana, India, Mexico, Russia, and South Africa). Cross-sectional, community-based data from the World Health Organization's Study on Global Aging and Adult Health were analyzed. Handgrip strength quintiles by sex were created based on the average value of two handgrip measurements of the dominant hand. Self-reported information on past 12-month suicidal ideation was collected. Multivariable logistic regression analysis was conducted to assess associations. Data on 34,129 individuals were analyzed [mean (SD) age 62.4 (16.0) years; age range 50-114 years; 52.1% females]. After adjustment for potential confounders, in the overall sample, compared to the handgrip strength quintile with the highest values [Quintile 1 (Q1)], Q2, Q3, Q4, and Q5 were associated with significant 2.15 (95% CI = 1.05-4.39), 2.78 (95% CI = 1.06-7.32), 3.53 (95% CI = 1.68-7.42), and 6.79 (95% CI = 2.80-16.48) times higher odds for suicidal ideation. Lower handgrip strength was significantly and dose-dependently associated with higher odds for suicidal ideation in adults aged ≥50 years from LMICs. Future longitudinal studies are needed to understand the underlying mechanisms, and whether increasing general muscular strength and physical function may lead to reduction in suicidal ideation.

Enriching Museum Collection with Virtual Design Objects and Community Narratives: Pop-up-VR Museum

In the Pop-up-VR Museum, a selection of design objects from the Design Museum collection can be explored as virtual reality experience together with stories and comments collected in workshops organized with senior communities and museum visitors amongst others. The collaboration between the museum and the Aalto University Department of Art and Media in the EU Horizon 2020 project SPICE (2020–2023), seeks to increase social cohesion and inclusion through cultural heritage. Using semantic tools designed and developed in the project, it studies ways to promote novel forms of “citizen curation” activities. The article discusses the co-design process between media designers, heritage professionals, and different user communities, with varying understandings and needs regarding museum data and Finnish design heritage. In the museum, community-based data raises practical as well as ethical issues. Also the new digital artifacts challenge existing systems: what and how should be preserved in the museum collection from the dialogue with the user that takes place in the Pop-up VR Museum and does this new data demand re-assessing earlier information and, how does should the process of creating new digital artifacts be documented and described.

Community-based monitoring reveals low anthropogenic pressure on a game vertebrate population in a sustainable-use Amazonian protected area

SummaryBiodiversity systematic monitoring programmes have been expanding across the globe, especially in protected areas (PAs). Amongst sustainable-use PAs, medium- to large-sized mammals and birds comprise crucial groups to monitor, given their importance to forest functionality and subsistence for local residents. Here, we used 6 years of community-based monitoring data from a sustainable-use PA in the Brazilian Amazonia (Tapajós–Arapiuns Extractive Reserve) to examine the influence of anthropogenic stressors and time on the density and biomass of forest mammal and bird game species. We further assessed trends in population density of target groups over the period. A total of 1915 km of line-transect surveys were completed by trained local monitors along eight established transects, providing data from 12 medium-sized and five large-sized game genera. Generalized linear mixed models of all medium-sized species, all large species and four individual taxa (Tinamidae, Dasyproctidae, primates and Cervidae) showed that some species (e.g., Dasyprocta croconota) exhibited great density, whereas others (e.g., Tapirus terrestris and Tayassu pecari) were rarely detected. Anthropogenic variables did not affect the density and biomass of the overall medium-sized and large vertebrates. Dasyproctidae, Tinamidae and primates were the only taxa influenced by anthropogenic stressors, with negative influence occurring only for Tinamidae. Moreover, density of groups and taxa remained stable throughout the period in the Reserve, although the frequency of some species may indicate past population losses. Continuation of this monitoring programme is required to improve understanding of population fluctuations, but over the 6 years studied, game population density and biomass were not linked to anthropogenic stressors.