Contributing factors to secondary traumatic stress and vicarious posttraumatic growth in therapists.

Alongside the recognized potential negative repercussions of working as a psychological therapist, there is growing interest in the potential positive impacts of engaging in such work. The current study used a cross-sectional online survey design to explore the impact of a range of demographic, work-related, and compassion-related factors on levels of secondary traumatic stress (STS) and vicarious posttraumatic growth (VPTG) in an international sample of 359 psychological therapists. Hierarchical multiple regressions demonstrated that burnout, lower levels of self-compassion, having a personal trauma history, reporting a higher percentage of working time with a trauma focus, and being female were the statistically significant contributors to STS scores, explaining 40.8% of the variance, F(9, 304) = 23.2, p <.001. For VPTG, higher compassion satisfaction, higher self-compassion, higher STS, a higher percentage of working time with a trauma focus, fewer years qualified, being male, and having a personal trauma history were all statistically significant contributors, explaining 27.3% of the variance, F (10, 304) = 11.37, p <.001. The findings illustrate the potential risk and protective factors for developing STS and clarify factors that may increase the likelihood of experiencing VPTG. Implications for psychological therapists and the organizations and institutions for which they work are considered along with potential directions for future research in the discussion.

Imported and indigenous Plasmodium Vivax and Plasmodium Falciparum malaria in the Hubei Province of China, 2005-2019.

BACKGROUND: The Hubei Province in China reported its last indigenous malaria case in September 2012, but imported malaria cases, particularly those related to Plasmodium vivax and Plasmodium falciparum, threaten Hubei's malaria-free status. This study investigated the epidemiological changes in P. vivax and P. falciparum malaria in this province to provide scientific evidence for preventing malaria resurgence. METHODS: The prevalence, demographic characteristics, seasonal features, and geographical distribution of malaria were assessed using surveillance data and were compared across three stages: control stage (2005-2009) and elimination stages I (2010-2014) and II (2015-2019). RESULTS: In 2005-2019, 8483 malaria cases were reported, including 5599 indigenous P. vivax cases, 275 imported P. vivax cases, 866 imported P. falciparum cases, and 1743 other cases. Imported P. falciparum cases accounted for 0.07% of all cases reported in 2005, but increased to 78.81% in 2019. Most imported P. vivax and P. falciparum malaria occurred among males, aged 21-60 years, during elimination stages I and II. The number of regions affected by imported P. falciparum and P. vivax increased markedly in Hubei from the control stage to elimination stage II. Overall, 1125 imported P. vivax and P. falciparum cases were detected from 47 other nations. Eight imported cases were detected from other provinces in China. From the control stage to elimination stage II, the number of cases of malaria imported from African countries increased, and that of cases imported from Southeast Asian countries decreased. CONCLUSIONS: Although Hubei has achieved malaria elimination, it faces challenges in maintaining this status. Hence, imported malaria surveillance need to be strengthened to reduce the risk of malaria re-introduction.

Impacts of worldwide individual non-pharmaceutical interventions on COVID-19 transmission across waves and space.

Governments worldwide have rapidly deployed non-pharmaceutical interventions (NPIs) to mitigate the COVID-19 pandemic. However, the effect of these individual NPI measures across space and time has yet to be sufficiently assessed, especially with the increase of policy fatigue and the urge for NPI relaxation in the vaccination era. Using the decay ratio in the suppression of COVID-19 infections and multi-source big data, we investigated the changing performance of different NPIs across waves from global and regional levels (in 133 countries) to national and subnational (in the United States of America [USA]) scales before the implementation of mass vaccination. The synergistic effectiveness of all NPIs for reducing COVID-19 infections declined along waves, from 95.4% in the first wave to 56.0% in the third wave recently at the global level and similarly from 83.3% to 58.7% at the USA national level, while it had fluctuating performance across waves on regional and subnational scales. Regardless of geographical scale, gathering restrictions and facial coverings played significant roles in epidemic mitigation before the vaccine rollout. Our findings have important implications for continued tailoring and implementation of NPI strategies, together with vaccination, to mitigate future COVID-19 waves, caused by new variants, and other emerging respiratory infectious diseases.

Spatiotemporal Dynamics of Sporadic Shiga Toxin-Producing Escherichia coli Enteritis, Ireland, 2013-2017.

The Republic of Ireland regularly reports the highest annual crude incidence rates of Shiga toxin-producing Escherichia coli (STEC) enteritis in the European Union, ≈10 times the average. We investigated spatiotemporal patterns of STEC enteritis in Ireland using multiple statistical tools. Overall, we georeferenced 2,755 cases of infection during January 2013-December 2017; we found >1 case notified in 2,340 (12.6%) of 18,641 Census Small Areas. We encountered the highest case numbers in children 0-5 years of age (n = 1,101, 39.6%) and associated with serogroups O26 (n = 800, 29%) and O157 (n = 638, 23.2%). Overall, we identified 17 space-time clusters, ranging from 2 (2014) to 5 (2017) clusters of sporadic infection per year; we detected recurrent clustering in 3 distinct geographic regions in the west and mid-west, all of which are primarily rural. Our findings can be used to enable targeted epidemiologic intervention and surveillance.

Spatial prediction of malaria prevalence in Papua New Guinea: a comparison of Bayesian decision network and multivariate regression modelling approaches for improved accuracy in prevalence prediction.

BACKGROUND: Considerable progress towards controlling malaria has been made in Papua New Guinea through the national malaria control programme's free distribution of long-lasting insecticidal nets, improved diagnosis with rapid diagnostic tests and improved access to artemisinin combination therapy. Predictive prevalence maps can help to inform targeted interventions and monitor changes in malaria epidemiology over time as control efforts continue. This study aims to compare the predictive performance of prevalence maps generated using Bayesian decision network (BDN) models and multilevel logistic regression models (a type of generalized linear model, GLM) in terms of malaria spatial risk prediction accuracy. METHODS: Multilevel logistic regression models and BDN models were developed using 2010/2011 malaria prevalence survey data collected from 77 randomly selected villages to determine associations of Plasmodium falciparum and Plasmodium vivax prevalence with precipitation, temperature, elevation, slope (terrain aspect), enhanced vegetation index and distance to the coast. Predictive performance of multilevel logistic regression and BDN models were compared by cross-validation methods. RESULTS: Prevalence of P. falciparum, based on results obtained from GLMs was significantly associated with precipitation during the 3 driest months of the year, June to August (ß = 0.015; 95% CI = 0.01-0.03), whereas P. vivax infection was associated with elevation (ß = - 0.26; 95% CI = - 0.38 to - 3.04), precipitation during the 3 driest months of the year (ß = 0.01; 95% CI = - 0.01-0.02) and slope (ß = 0.12; 95% CI = 0.05-0.19). Compared with GLM model performance, BDNs showed improved accuracy in prediction of the prevalence of P. falciparum (AUC = 0.49 versus 0.75, respectively) and P. vivax (AUC = 0.56 versus 0.74, respectively) on cross-validation. CONCLUSIONS: BDNs provide a more flexible modelling framework than GLMs and may have a better predictive performance when developing malaria prevalence maps due to the multiple interacting factors that drive malaria prevalence in different geographical areas. When developing malaria prevalence maps, BDNs may be particularly useful in predicting prevalence where spatial variation in climate and environmental drivers of malaria transmission exists, as is the case in Papua New Guinea.

The social disorganization of eating: a neglected determinant of the Australian epidemic of overweight/obesity.

BACKGROUND: Over the last 150 years, advanced economies have seen the burden of disease shift to non-communicable diseases. The risk factors for these diseases are often co-morbidities associated with unhealthy weight. The prevalence of overweight/obesity among adults in the advanced countries of the English-speaking world is currently more than two-thirds of the adult population. However, while much attention has concentrated on changes in diet that might have provoked this rapid increase in unhealthy weight, changes in patterns of eating have received little attention. METHODS: This article examines a sequence of large-scale, time use surveys in urban Australia stretching from 1974 to 2006. The earliest survey in 1974 (conducted by the Cities Commission) was limited to respondents aged between 18 and 69 years, while the later surveys (by the Australian Bureau of Statistics) included all adult (15 years of age or over) living private dwellings. Since time use surveys capture every activity in a day, they contain much information about mealtimes and the patterns of eating. This includes duration of eating, number of eating occasions and the timing of eating. Inferential statistics were used to test the statistical significance of these changes and the size of the effects. RESULTS: The eating patterns of urban Australian adults have changed significantly over a 32-year period and the magnitude of this change is non-trivial. Total average eating time as main activity has diminished by about a third, as have eating occasions, affecting particularly luncheon and evening meals. However, there is evidence that eating as secondary activity that accompanies another activity is now almost as frequent as eating at mealtimes. Moreover, participants seem not to report it. CONCLUSIONS: Contemporary urban Australians are spending less time in organized shared meals. These changes have occurred the over same period during which there has been a public health concern about the prevalence of unhealthy weight. Preliminary indications are that societies that emphasize eating as a commensal, shared activity through maintaining definite, generous lunch breaks and prioritizing eating at mealtimes, achieve better public health outcomes. This has implications for a strategy of health promotion, but to be sure of this we need to study countries with these more socially organized eating patterns.

Social Connections for Older People with Intellectual Disability in Ireland: Results from Wave One of IDS-TILDA.

BACKGROUND: The literature on influences of community versus congregated settings raises questions about how social inclusion can be optimised for people with intellectual disability. This study examines social contacts for older people with intellectual disability in Ireland, examining differences in social connection for adults with intellectual disability and other adults. MATERIALS & METHODS: Data were drawn from the IDS-TILDA study in Ireland. A nationally representative sample (n = 753) included adults aged 40 years and older, with additional comparison with general population participants. Predictors of social contacts were explored. RESULTS: Residence, level of intellectual disability and age were significant factors determining social contact. People in institutional residences, older respondents and those with severe/profound intellectual disability had the lowest levels of contact; older adults with intellectual disability had much lower rates than general population counterparts. CONCLUSIONS: Community-dwelling people with intellectual disability have greater social contact than those living in institutions, but levels are below those for other adults in Ireland.

Comparing lagged impacts of mobility changes and environmental factors on COVID-19 waves in rural and urban India: a Bayesian spatiotemporal modelling study.

Previous research in India has identified urbanisation, human mobility and population demographics as key variables associated with higher district level COVID-19 incidence. However, the spatiotemporal dynamics of mobility patterns in rural and urban areas in India, in conjunction with other drivers of COVID-19 transmission, have not been fully investigated. We explored travel networks within India during two pandemic waves using aggregated and anonymized weekly human movement datasets obtained from Google, and quantified changes in mobility before and during the pandemic compared with the mean baseline mobility for the 8-week time period at the beginning of 2020. We fit Bayesian spatiotemporal hierarchical models coupled with distributed lag non-linear models (DLNM) within the integrated nested Laplace approximate (INLA) package in R to examine the lag-response associations of drivers of COVID-19 transmission in urban, suburban, and rural districts in India during two pandemic waves in 2020-2021. Model results demonstrate that recovery of mobility to 99% that of pre-pandemic levels was associated with an increase in relative risk of COVID-19 transmission during the Delta wave of transmission. This increased mobility, coupled with reduced stringency in public intervention policy and the emergence of the Delta variant, were the main contributors to the high COVID-19 transmission peak in India in April 2021. During both pandemic waves in India, reduction in human mobility, higher stringency of interventions, and climate factors (temperature and precipitation) had 2-week lag-response impacts on the R t of COVID-19 transmission, with variations in drivers of COVID-19 transmission observed across urban, rural and suburban areas. With the increased likelihood of emergent novel infections and disease outbreaks under a changing global climate, providing a framework for understanding the lagged impact of spatiotemporal drivers of infection transmission will be crucial for informing interventions.

Prior water availability modifies the effect of heavy rainfall on dengue transmission: a time series analysis of passive surveillance data from southern China.

Background: Given the rapid geographic spread of dengue and the growing frequency and intensity of heavy rainfall events, it is imperative to understand the relationship between these phenomena in order to propose effective interventions. However, studies exploring the association between heavy rainfall and dengue infection risk have reached conflicting conclusions. Methods: In this study, we use a distributed lag non-linear model to examine the association between dengue infection risk and heavy rainfall in Guangzhou, a dengue transmission hotspot in southern China, stratified by prior water availability. Results: Our findings suggest that the effects of heavy rainfall are likely to be modified by prior water availability. A 24-55 day lagged impact of heavy rainfall was associated with an increase in dengue risk when prior water availability was low, with the greatest incidence rate ratio (IRR) of 1.37 (95% credible interval (CI): 1.02-1.83) occurring at a lag of 27 days. In contrast, a heavy rainfall lag of 7-121 days decreased dengue risk when prior water availability was high, with the lowest IRR of 0.59 (95% CI: 0.43-0.79), occurring at a lag of 45 days. Conclusions: These findings may help to reconcile the inconsistent conclusions reached by previous studies and improve our understanding of the complex relationship between heavy rainfall and dengue infection risk.

Prior water availability modifies the effect of heavy rainfall on dengue transmission: a time series analysis of passive surveillance data from southern China.

Introduction: Given the rapid geographic spread of dengue and the growing frequency and intensity of heavy rainfall events, it is imperative to understand the relationship between these phenomena in order to propose effective interventions. However, studies exploring the association between heavy rainfall and dengue infection risk have reached conflicting conclusions, potentially due to the neglect of prior water availability in mosquito breeding sites as an effect modifier. Methods: In this study, we addressed this research gap by considering the impact of prior water availability for the first time. We measured prior water availability as the cumulative precipitation over the preceding 8 weeks and utilized a distributed lag non-linear model stratified by the level of prior water availability to examine the association between dengue infection risk and heavy rainfall in Guangzhou, a dengue transmission hotspot in southern China. Results: Our findings suggest that the effects of heavy rainfall are likely to be modified by prior water availability. A 24-55 day lagged impact of heavy rainfall was associated with an increase in dengue risk when prior water availability was low, with the greatest incidence rate ratio (IRR) of 1.37 [95% credible interval (CI): 1.02-1.83] occurring at a lag of 27 days. In contrast, a heavy rainfall lag of 7-121 days decreased dengue risk when prior water availability was high, with the lowest IRR of 0.59 (95% CI: 0.43-0.79), occurring at a lag of 45 days. Discussion: These findings may help to reconcile the inconsistent conclusions reached by previous studies and improve our understanding of the complex relationship between heavy rainfall and dengue infection risk.

Effects of public-health measures for zeroing out different SARS-CoV-2 variants.

Targeted public health interventions for an emerging epidemic are essential for preventing pandemics. During 2020-2022, China invested significant efforts in strict zero-COVID measures to contain outbreaks of varying scales caused by different SARS-CoV-2 variants. Based on a multi-year empirical dataset containing 131 outbreaks observed in China from April 2020 to May 2022 and simulated scenarios, we ranked the relative intervention effectiveness by their reduction in instantaneous reproduction number. We found that, overall, social distancing measures (38% reduction, 95% prediction interval 31-45%), face masks (30%, 17-42%) and close contact tracing (28%, 24-31%) were most effective. Contact tracing was crucial in containing outbreaks during the initial phases, while social distancing measures became increasingly prominent as the spread persisted. In addition, infections with higher transmissibility and a shorter latent period posed more challenges for these measures. Our findings provide quantitative evidence on the effects of public-health measures for zeroing out emerging contagions in different contexts.

Optimizing the detection of emerging infections using mobility-based spatial sampling.

Background: Timely and precise detection of emerging infections is crucial for effective outbreak management and disease control. Human mobility significantly influences infection risks and transmission dynamics, and spatial sampling is a valuable tool for pinpointing potential infections in specific areas. This study explored spatial sampling methods, informed by various mobility patterns, to optimize the allocation of testing resources for detecting emerging infections. Methods: Mobility patterns, derived from clustering point-of-interest data and travel data, were integrated into four spatial sampling approaches to detect emerging infections at the community level. To evaluate the effectiveness of the proposed mobility-based spatial sampling, we conducted analyses using actual and simulated outbreaks under different scenarios of transmissibility, intervention timing, and population density in cities. Results: By leveraging inter-community movement data and initial case locations, the proposed case flow intensity (CFI) and case transmission intensity (CTI)-informed sampling approaches could considerably reduce the number of tests required for both actual and simulated outbreaks. Nonetheless, the prompt use of CFI and CTI within communities is imperative for effective detection, particularly for highly contagious infections in densely populated areas. Conclusions: The mobility-based spatial sampling approach can substantially improve the efficiency of community-level testing for detecting emerging infections. It achieves this by reducing the number of individuals screened while maintaining a high accuracy rate of infection identification. It represents a cost-effective solution to optimize the deployment of testing resources, when necessary, to contain emerging infectious diseases in diverse settings.

A review of malaria epidemiology and control in Papua New Guinea 1900 to 2021: Progress made and future directions.

The research and control of malaria has a long history in Papua New Guinea, sometimes resulting in substantial changes to the distribution of infection and transmission dynamics in the country. There have been four major periods of malaria control in PNG, with the current control programme having commenced in 2004. Each previous control programme was successful in reducing malaria burden in the country, but multiple factors led to programme failures and eventual breakdown. A comprehensive review of the literature dating from 1900 to 2021 was undertaken to summarize control strategies, epidemiology, vector ecology and environmental drivers of malaria transmission in PNG. Evaluations of historical control programs reveal poor planning and communication, and difficulty in sustaining financial investment once malaria burden had decreased as common themes in the breakdown of previous programs. Success of current and future malaria control programs in PNG is contingent on adequate planning and management of control programs, effective communication and engagement with at-risk populations, and cohesive targeted approaches to sub-national and national control and elimination.

Untangling the changing impact of non-pharmaceutical interventions and vaccination on European COVID-19 trajectories.

Non-pharmaceutical interventions (NPIs) and vaccination are two fundamental approaches for mitigating the coronavirus disease 2019 (COVID-19) pandemic. However, the real-world impact of NPIs versus vaccination, or a combination of both, on COVID-19 remains uncertain. To address this, we built a Bayesian inference model to assess the changing effect of NPIs and vaccination on reducing COVID-19 transmission, based on a large-scale dataset including epidemiological parameters, virus variants, vaccines, and climate factors in Europe from August 2020 to October 2021. We found that (1) the combined effect of NPIs and vaccination resulted in a 53% (95% confidence interval: 42-62%) reduction in reproduction number by October 2021, whereas NPIs and vaccination reduced the transmission by 35% and 38%, respectively; (2) compared with vaccination, the change of NPI effect was less sensitive to emerging variants; (3) the relative effect of NPIs declined 12% from May 2021 due to a lower stringency and the introduction of vaccination strategies. Our results demonstrate that NPIs were complementary to vaccination in an effort to reduce COVID-19 transmission, and the relaxation of NPIs might depend on vaccination rates, control targets, and vaccine effectiveness concerning extant and emerging variants.

Lived Lives at Fort Dunree: a rural Irish community perspective.

Background:  Elevated suicide rates have alarmed policy makers and communities. In these circumstances, the value of understanding more about communities and their potential role in suicide intervention is becoming more apparent. This study involved evaluating feedback from individuals with and without previous suicidal thinking who participated in an arts-science rural community-based intervention project around suicide in County Donegal, Ireland ( Lived Lives at Fort Dunree). Methods:  A combined quantitative and qualitative questionnaire was used to evaluate individual and community responses to the Lived Lives project. Results:  Participants ( n = 83), with and without a mental health history and previous suicidal ideation, reported they believed Lived Lives could have potential to help suicide-bereaved families, people with mental illness and people with suicidal thinking.  Qualitative results suggested its' suitability for specific groups affected by suicide. Discussion:  The evaluation of the Lived Lives project indicated that supervised, "safe-space" community intervention projects around suicide have inherent value with positive impacts for bereaved individuals and communities, including those who have experienced suicidal feelings. Future research should explore the transferability of these findings to other communities, and at-risk groups.

Bringing Lived Lives to Swift's Asylum: a psychiatric hospital perspective.

Background: Few "interventions" around suicide and stigma have reached into psychiatric institutions. Lived Lives is a science-arts approach to addressing suicide and stigma, informed by a psychobiographical and visual arts autopsy. The resulting artworks and mediated exhibition ( Lived Lives), has facilitated dialogue, response and public action around stigma-reduction, consistent with a community intervention. Recent evidence from Lived Lives moved us to consider how it may situate within a psychiatric hospital. Methods: Lived Lives manifested in St. Patrick's University Hospital (Ireland's oldest and largest psychiatric hospital) in November 2017.   A mixed-methods approach was used to evaluate the exhibition as a potential intervention to address stigma around suicide, with quantitative and qualitative data collected via written questionnaire and oral data collected via video documentation.  Bereavement support was available. A Clinician and an artist also provided independent evaluation. Results:  86 participants engaged with the exhibition, with 68 completing questionnaire data. Audiences included service users, policy makers, health professionals, senior hospital administrators and members of the public. 62% of participants who completed questionnaires were suicide-bereaved; 46% had experienced a mental health difficulty, and 35% had been suicidal in the past. 91% thought Lived Lives could be of benefit in the aftermath of a suicide death. Half of participants thought Lived Lives could help reduce suicidal feelings, whereas 88% thought it could benefit those with Mental Health difficulties. The emotional response was of a visceral nature, including fear, anger, sadness, disgust and anxiety. Conclusions: Lived Lives sits comfortably in discomfort, unafraid to call out the home-truths about stigma and its pervasive and pernicious impact, and with restoring identity at its core. Lived Lives can operate within a psychiatric hospital, as well as in community. The challenge is to move it forward for greater exposure and impacts in at-risk communities.

Limiting psychotropic medication prescription on discharge from psychiatric inpatient care: a possible suicide intervention?

OBJECTIVES: Restricting access to lethal means is an effective suicide prevention strategy. However, there is little discussion in the literature about the potential contribution of prescribing practices on discharge from inpatient psychiatric care (which has been established as a high-risk period for suicide) to suicide deaths by overdose of prescribed medication. This study aimed to assess the quantity, toxicity and potential lethality of psychotropic medication being prescribed on discharge from psychiatric care to those with and without indices of suicidality. METHODS: Patient demographic, clinical and prescription data were collected from 50 randomly selected charts following discharge from inpatient psychiatric care. Psychotropic medications (dose × duration) on discharge were converted to their equivalent doses of neuroleptics, antidepressants and anxiolytics to rate toxicity and potential lethality, using the Maudsley Prescribing Guidelines. Mood stabilizing medications were also documented. RESULTS: 39% of prescriptions analysed contained toxic and potentially fatal doses of either neuroleptic or antidepressant equivalent medication. CONCLUSIONS: Patient discharge from inpatient psychiatric care presents a golden opportunity to moderate access to potentially fatal psychotropic medication. Iatrogenic provision of lethal means for suicide during a period of increased risk and in a group at increased suicide risk may impact suicide prevention efforts and requires further in-depth research. Current prescribing practices may be a missed opportunity to intervene in this regard.

Worried, weary and worn out: mixed-method study of stress and well-being in final-year medical students.

OBJECTIVE: Although there is much focus on burnout and psychological distress among doctors, studies about stress and well-being in medical students are limited but could inform early intervention and prevention strategies. DESIGN: The primary aim of this mixed-method, cross-sectional survey was to compare objective and subjective levels of stress in final-year medical students (2017) and to explore their perspectives on the factors they considered relevant to their well-being. SETTING: University College Dublin, the largest university in Ireland. PARTICIPANTS: 161 of 235 medical students participated in this study (response rate 69%). RESULTS: 65.2% of students scored over accepted norms for the Perceived Stress Scale (34.8% low, 55.9% moderate and 9.3% high). 35% scored low, 28.7% moderate and 36.3% high on the Subjective Stress Scale. Thematic analysis identified worry about exams, relationships, concern about the future, work-life balance and finance; one in three students reported worry, irritability and hostility; many felt worn out. Cognitive impacts included overthinking, poor concentration, sense of failure, hopelessness and procrastination. Almost a third reported sleep and appetite disturbance, fatigue and weariness. A quarter reported a 'positive reaction' to stress. Positive strategies to manage stress included connection and talking, exercise, non-study activity and meditation. Unhelpful strategies included isolation and substance use. No student reported using the college support services or sought professional help. CONCLUSION: Medical students experience high levels of psychological distress, similar to their more senior doctor colleagues. They are disinclined to avail of traditional college help services. Toxic effects of stress may impact their cognition, learning, engagement and empathy and may increase patient risk and adverse outcomes. The focus of well-being in doctors should be extended upstream and embedded in the curriculum where it could prevent future burnout, improve retention to the profession and deliver better outcomes for patients.

Health and Health-Care Utilization of the Older Population of Ireland: Comparing the Intellectual Disability Population and the General Population.

BACKGROUND/OBJECTIVES: Largely unresearched are the similarities and differences compared to the general population in the aging of people with an intellectual disability (ID). Data reported here compare the health and health-care utilization of the general aging population in Ireland with those who are aging with ID. DESIGN: Data for comparisons were drawn from the 2010 The Irish Longitudinal Study on Ageing (TILDA) and the Intellectual Disability Supplement (IDS)-TILDA Wave 1 data sets. SETTING: TILDA participants were community dwelling only while IDS-TILDA participants were drawn from community and institutional settings. PARTICIPANTS: TILDA consists of a sample of 8,178 individuals aged 50 years and older who were representative of the Irish population. The IDS-TILDA consists of a random sample of 753 persons aged 40 and older. Using age 50 as the initial criterion, 478 persons with ID were matched with TILDA participants on age, sex, and geographic location to create the sample for this comparison. MEASUREMENTS: Both studies gathered self-reported data on physical and mental health, behavioral health, functional limitations, and health-care utilization. RESULTS: Rates of chronic disease appeared higher overall for people with ID as compared to the general population. There were also age-related differences in the prevalence of diabetes and cancer and different rates of engagement between the two groups in relevant behavioral health activities such as smoking. There were higher utilization levels among IDS-TILDA participants for allied health and general practitioner visits. CONCLUSION: Different disease trajectories found among IDS-TILDA participants raise concerns. The longitudinal comparison of data for people with ID and for the general population offered a better opportunity for the unique experiences of people with ID to be included in data that inform health planning.