Social Isolation, Physical Activity, and Subsequent Changes in Cognition Among Middle- and Older-Aged Adults: Results From the Canadian Longitudinal Study on Aging.

OBJECTIVE: The objectives of this study were to a) evaluate associations between social isolation and change in cognition over a 3-year period, and b) evaluate whether physical activity mediates the association between social isolation and cognition change. METHODS: Using baseline and follow-up 1 data from the Canadian Longitudinal Study on Aging, latent change score models, incorporating direct and indirect pathways, were constructed to estimate the indirect effect of social isolation on cognitive change through physical activity. Multigroup models were constructed based on age group (45-65 versus 65+ years) and sex to allow for varying estimates across age and sex. The final analytic sample included 51,338 participants. RESULTS: Indirect effects of social isolation on cognition through physical activity were evident in men and women 65+ years old for memory change ( = -0.005 [99.9% confidence interval = -0.007 to -0.002], p < .001 in both groups) and in male adults 65+ years old for executive function change ( = -0.01 [99.9% confidence interval = -0.02 to -0.006], p < .001). Statistically significant indirect effects were not observed for adults between 45 and 65 years old. CONCLUSIONS: Social isolation is associated with diminished physical activity, and in turn, diminished physical activity is associated with decline in memory in older women and men, with larger declines in executive function in older men. Public health initiatives to promote physical activity-perhaps incorporating social interaction-among older adults experiencing social isolation could be one way to mitigate the negative impact of social isolation on cognitive health.

Neuroimaging and machine learning for studying the pathways from mild cognitive impairment to alzheimer's disease: a systematic review.

BACKGROUND: This systematic review synthesizes the most recent neuroimaging procedures and machine learning approaches for the prediction of conversion from mild cognitive impairment to Alzheimer's disease dementia. METHODS: We systematically searched PubMed, SCOPUS, and Web of Science databases following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) systematic review guidelines. RESULTS: Our search returned 2572 articles, 56 of which met the criteria for inclusion in the final selection. The multimodality framework and deep learning techniques showed potential for predicting the conversion of MCI to AD dementia. CONCLUSION: Findings of this systematic review identified that the possibility of using neuroimaging data processed by advanced learning algorithms is promising for the prediction of AD progression. We also provided a detailed description of the challenges that researchers are faced along with future research directions. The protocol has been registered in the International Prospective Register of Systematic Reviews- CRD42019133402 and published in the Systematic Reviews journal.

Contributors to mental health resilience in middle-aged and older adults: an analysis of the Canadian Longitudinal Study on Aging.

OBJECTIVES: Identifying the correlates of mental health resilience (MHR)-defined as the discrepancy between one's reported current mental health and one's predicted mental health based on their physical performance-may lead to strategies to alleviate the burden of poor mental health in aging adults. Socioeconomic factors, such as income and education, may promote MHR via modifiable factors, such as physical activity and social networks. DESIGN: A cross-sectional study was conducted. Multivariable generalized additive models characterized the associations between socioeconomic and modifiable factors with MHR. SETTING: Data were taken from the population-based Canadian Longitudinal Study on Aging (CLSA), which collected data at various data collection sites across Canada. PARTICIPANTS: Approximately 31,000 women and men between the ages of 45 and 85 years from the comprehensive cohort of the CLSA. MEASUREMENTS: Depressive symptoms were assessed by the Center for Epidemiological Studies Depression Scale. Physical performance was measured objectively using a composite of grip strength, sit-to-stand, and balance performance. Socioeconomic and modifiable factors were measured by self-report questionnaires. RESULTS: Household income, and to a lesser extent, education were associated with greater MHR. Individuals reporting more physical activity and larger social networks had greater MHR. Physical activity accounted for 6% (95% CI: 4 to 11%) and social network accounted for 16% (95% CI: 11 to 23%) of the association between household income and MHR. CONCLUSIONS: The burden of poor mental health in aging adults may be alleviated through targeted interventions involving physical activity and social connectedness for individuals with lower socioeconomic resources.

Multimorbidity, COVID-19 and Mental Health: Canadian Longitudinal Study on Aging (CLSA) Longitudinal Analyses.

OBJECTIVES: This paper examines the longitudinal effects of the COVID-19 pandemic on older adults (65+) with multimorbidity on levels of depression, anxiety, and perceived global impact on their lives. METHODS: Baseline (2011-2015) and Follow-up 1 (2015-2018) data from the Canadian Longitudinal Study on Aging (CLSA), and the Baseline and Exit waves of the CLSA COVID-19 study (April-December, 2020) (n = 18,099). Multimorbidity was measured using: a) an additive scale of chronic conditions; and b) six chronic disease clusters. Linear Mixed Models were employed to test hypotheses. RESULTS: Number of chronic conditions pre-pandemic was associated with pandemic levels of depression (estimate = 0.40, 95% CI: [0.37,0.44]); anxiety (estimate = 0.20, 95% CI: [0.18, 0.23]); and perceived negative impact of the pandemic (OR = 1.04, 95% CI: [1.02, 1.06]). The associations between multimorbidity and anxiety decreased during the period of the COVID-19 surveys (estimate = -0.02, 95% CI: [-0.05, -0.01]); whereas the multimorbidity association with perceived impact increased (OR = 1.03, 95% CI: [1.01, 1.05]). CONCLUSIONS: This study demonstrates that pre-pandemic multimorbidity conditions are associated with worsening mental health. CLINICAL IMPLICATIONS: Clinicians treating mental health of older adults need to consider the joint effects of multimorbidity conditions and pandemic experiences to tailor counseling and other treatment protocols.

Internet use and life satisfaction among Chinese older adults: the mediating effects of social interaction.

Internet use has been suggested to have a crucial effect on older adults' quality of life; however, few studies have investigated the underlying mechanisms in the relationship between internet use and life satisfaction among older adults. Employing multiple linear regression models and mediation analysis with 2019 Chinese Social Survey (CSS) data, this study analyzed the associations between the internet use and life satisfaction of Chinese older adults. Additionally, it explored the mediating role of social interaction, including online and offline social interactions. The results showed that internet use was positively associated with older adults' life satisfaction, and offline social interaction significantly mediated internet use. Our findings indicate that internet use could improve older adults' quality of life by promoting offline social interaction. Therefore, the government, communities, and families should create conditions for older adults to integrate into online society and participate in offline social interaction.

Multimorbidity resilience and COVID-19 pandemic self-reported impact and worry among older adults: a study based on the Canadian Longitudinal Study on Aging (CLSA).

BACKGROUND: The Coronavirus Disease-2019 (COVID-19) pandemic has created a spectrum of adversities that have affected older adults disproportionately. This paper examines older adults with multimorbidity using longitudinal data to ascertain why some of these vulnerable individuals coped with pandemic-induced risk and stressors better than others - termed multimorbidity resilience. We investigate pre-pandemic levels of functional, social and psychological forms of resilience among this sub-population of at-risk individuals on two outcomes - self-reported comprehensive pandemic impact and personal worry. METHODS: This study was conducted using Follow-up 1 data from the Canadian Longitudinal Study on Aging (CLSA), and the Baseline and Exit COVID-19 study, conducted between April and December in 2020. A final sub-group of 9211 older adults with two or more chronic health conditions were selected for analyses. Logistic regression and Generalized Linear Mixed Models were employed to test hypotheses between a multimorbidity resilience index and its three sub-indices measured using pre-pandemic Follow-up 1 data and the outcomes, including covariates. RESULTS: The multimorbidity resilience index was inversely associated with pandemic comprehensive impact at both COVID-19 Baseline wave (OR = 0.83, p < 0.001, 95% CI: [0.80,0.86]), and Exit wave (OR = 0.84, p < 0.001, 95% CI: [0.81,0.87]); and for personal worry at Exit (OR = 0.89, p < 0.001, 95% CI: [0.86,0.93]), in the final models with all covariates. The full index was also associated with comprehensive impact between the COVID waves (estimate = - 0.19, p < 0.001, 95% CI: [- 0.22, - 0.16]). Only the psychological resilience sub-index was inversely associated with comprehensive impact at both Baseline (OR = 0.89, p < 0.001, 95% CI: [0.87,0.91]) and Exit waves (OR = 0.89, p < 0.001, 95% CI: [0.87,0.91]), in the final model; and between these COVID waves (estimate = - 0.11, p < 0.001, 95% CI: [- 0.13, - 0.10]). The social resilience sub-index exhibited a weak positive association (OR = 1.04, p < 0.05, 95% CI: [1.01,1.07]) with personal worry, and the functional resilience measure was not associated with either outcome. CONCLUSIONS: The findings show that psychological resilience is most pronounced in protecting against pandemic comprehensive impact and personal worry. In addition, several covariates were also associated with the outcomes. The findings are discussed in terms of developing or retrofitting innovative approaches to proactive coping among multimorbid older adults during both pre-pandemic and peri-pandemic periods.

Overcoming Barriers for Older Adults to Maintain Virtual Community and Social Connections during the COVID-19 Pandemic.

OBJECTIVES: We describe the evaluation of remote training, an innovative use of technology to maintain older adults' virtual connection with their community and socialization, which were disrupted by the pandemic. Remote training was conducted via telephone using principles of cognitive rehabilitation and delivered by trained clinicians. METHODS: We thematically analyzed trainer reflection notes and interviews with older adult participants. RESULTS: The main facilitators were technology training with exposure, and the main barrier was fear of technology. CONCLUSIONS: We describe how telephone-based training grounded in principles of cognitive rehabilitation can be used to remotely train older adults to use new technology and to help them maintain their community-based connections and engage in socialization. CLINICAL IMPLICATIONS: Fear of technology during the pandemic can cause significant impairment in social functioning for older adults, at least when the only method for socialization is technology mediated such as during the COVID-19 pandemic. Empathically delivered remote training in an understanding manner can reduce fear and increase social and community connections in the era of physical distancing.

What is the relationship between validated frailty scores and mortality for adults with COVID-19 in acute hospital care? A systematic review.

BACKGROUND AND AIM: The aim of this systematic review was to quantify the association between frailty and COVID-19 in relation to mortality in hospitalised patients. METHODS: Medline, Embase, Web of Science and the grey literature were searched for papers from inception to 10 September 2020; the search was re-run in Medline up until the 9 December 2020. Screening, data extraction and quality grading were undertaken by two reviewers. Results were summarised using descriptive statistics, including a meta-analysis of overall mortality; the relationships between frailty and COVID-19 mortality were summarised narratively. RESULTS: A total of 2,286 papers were screened resulting in 26 being included in the review. Most studies were from Europe, half from the UK, and one from Brazil; the median sample size was 242.5, median age 73.1 and 43.5% were female. In total, 22/26 used the Clinical Frailty Scale; reported mortality ranged from 14 to 65%. Most, but not all studies showed an association between increasing frailty and a greater risk of dying. Two studies indicated a sub-additive relationship between frailty, COVID-19 and death, and two studies showed no association. CONCLUSIONS: Whilst the majority of studies have shown a positive association between COVID-19-related death and increasing frailty, some studies suggested a more nuanced understanding of frailty and outcomes in COVID-19 is needed. Clinicians should exert caution in placing too much emphasis on the influence of frailty alone when discussing likely prognosis in older people with COVID-19 illness.

A systematic review of the latent structure of the Center for Epidemiologic Studies Depression Scale (CES-D) amongst adolescents.

BACKGROUND: The Centre for Epidemiologic Studies Depression Scale (CES-D) is a commonly used psychometric scale of depression. A four-factor structure (depressed affect, positive affect, somatic symptoms, and interpersonal difficulties) was initially identified in an American sample aged 18 to 65. Despite emerging evidence, a latent structure has not been established in adolescents. This review aimed to investigate the factor structure of the CES-D in adolescents. METHODS: We searched Web of Science, PsychINFO and Scopus and included peer-reviewed, original studies assessing the factor structure of the 20-item CES-D in adolescents aged ≤18. Two independent researchers screened results and extracted data. RESULTS: Thirteen studies met the inclusion criteria and were primarily from school-based samples in the USA or Asia. Studies that conducted confirmatory factor analysis (CFA; n = 9) reported a four-factor structure consistent with the original factor structure; these studies were primarily USA-based. Conversely, studies that conducted exploratory factor analysis (EFA) reported distinct two or three factor structures (n = 4) and were primarily based in Asia. LIMITATIONS: Studies in a non-English language and those that included individuals aged > 18 years were excluded. Ethnic or cultural differences as well as different analytical methods impacted generalisability of results. The use of CFA as the primary analysis may have biased towards a four-factor structure. CONCLUSIONS: A four-factor CES-D structure was an appropriate fit for adolescents in Western countries; further research is required to determine the fit in in Asian countries. This has important implications for clinical use of the scale. Future research should consider how cultural differences shape the experience of depression in adolescents.

Exposure to multiple childhood social risk factors and adult body mass index trajectories from ages 20 to 64 years.

BACKGROUND: While childhood social risk factors appear to be associated with adult obesity, it is unclear whether exposure to multiple childhood social risk factors is associated with accelerated weight gain during adulthood. METHODS: We used the Medical Research Council National Survey of Health and Development, a British population-based birth cohort study of participants born in 1946, height and weight were measured by nurses at ages 36, 43, 53 and 60-64 and self-reported at 20 and 26 years. The 9 childhood socioeconomic risk factors and 8 binary childhood psychosocial risk factors were measured, with 13 prospectively measured at age 4 years (or at 7 or 11 years if missing) and 3 were recalled when participants were age 43. Multilevel modelling was used to examine the association between the number of childhood social risk factors and changes in body mass index (BMI) with age. RESULTS: Increasing exposure to a higher number of childhood socioeconomic risk factors was associated with higher mean BMI across adulthood for both sexes and with a faster increase in BMI from 20 to 64 years, among women but not men. Associations remained after adjustment for adult social class. There was no evidence of an association between exposure to childhood psychosocial risk factors and mean BMI in either sex at any age. CONCLUSIONS: Strategies for the prevention and management of weight gain across adulthood may need to tailor interventions in consideration of past exposure to multiple socioeconomic disadvantages experienced during childhood.

COVID-19, Social Isolation, and Mental Health Among Older Adults: A Digital Catch-22.

One of the most at-risk groups during the COVID-19 crisis is older adults, especially those who live in congregate living settings and seniors' care facilities, are immune-compromised, and/or have other underlying illnesses. Measures undertaken to contain the spread of the virus are far-reaching, and older adults were among the first groups to experience restrictions on face-to-face contact. Although reducing viral transmission is critical, physical distancing is associated with negative psychosocial implications, such as increased rates of depression and anxiety. Promising evidence suggests that participatory digital co-design, defined as the combination of user-centered design and community engagement models, is associated with increased levels of engagement with mobile technologies among individuals with mental health conditions. The COVID-19 pandemic has highlighted shortcomings of existing technologies and challenges in their uptake and usage; however, strategies such as co-design may be leveraged to address these challenges both in the adaptation of existing technologies and the development of new technologies. By incorporating these strategies, it is hoped that we can offset some of the negative mental health implications for older adults in the context of physical distancing both during and beyond the current pandemic.

Latent structure of the Centre for Epidemiologic Studies Depression Scale (CES-D) in older adult populations: a systematic review.

Objective: The Center for Epidemiologic Studies Depression Scale (CES-D) is a 20-item, self-report metric intended to measure depression. Despite being one of the most popular depression scales, the psychometric properties, specifically the underlying factor structure of the scale, have come under scrutiny. The latent structure of a scale is a key indicator of its construct validity, i.e. the degree to which the intended variable is captured. To date, a comprehensive review of the latent structure of the CES-D in older adult populations (≥65 years old) has not been conducted. We aimed to examine the latent structure of the CES-D in samples of older adults to assess its ability to capture depressive symptoms.Methods: A systematic review across Scopus, Web of Science, and PsycINFO databases was conducted. Original studies conducting latent variable analysis of the 20-item CES-D in samples aged ≥65 years old were included.Results: Included studies (n = 6) were primarily conducted with community-dwelling older adults in the United States. Studies that conducted exploratory and confirmatory factor analysis (n = 2) revealed two latent factors, whereas those conducting confirmatory factor analysis of previously identified structures (n = 4) revealed four-factor structures in line with the original four-factor structure.Conclusions: A general alignment with the original four-factor structure of the CES-D provides tentative support for continued use amongst older adults; however, further research is required to provide conclusive evidence for these psychometric properties.

A Future Research Agenda for Digital Geriatric Mental Healthcare.

The proliferation of mobile, online, and remote monitoring technologies in digital geriatric mental health has the potential to lead to the next major breakthrough in mental health treatments. Unlike traditional mental health services, digital geriatric mental health has the benefit of serving a large number of older adults, and in many instances, does not rely on mental health clinics to offer real-time interventions. As technology increasingly becomes essential in the everyday lives of older adults with mental health conditions, these technologies will provide a fundamental service delivery strategy to support older adults' mental health recovery. Although ample research on digital geriatric mental health is available, fundamental gaps in the scientific literature still exist. To begin to address these gaps, we propose the following recommendations for a future research agenda: 1) additional proof-of-concept studies are needed; 2) integrating engineering principles in methodologically rigorous research may help science keep pace with technology; 3) studies are needed that identify implementation issues; 4) inclusivity of people with a lived experience of a mental health condition can offer valuable perspectives and new insights; and 5) formation of a workgroup specific for digital geriatric mental health to set standards and principles for research and practice. We propose prioritizing the advancement of digital geriatric mental health research in several areas that are of great public health significance, including 1) simultaneous and integrated treatment of physical health and mental health conditions; 2) effectiveness studies that explore diagnostics and treatment of social determinants of health such as "social isolation" and "loneliness;" and 3) tailoring the development and testing of innovative strategies to minority older adult populations.

Digital Technologies in the Treatment of Anxiety: Recent Innovations and Future Directions.

PURPOSE OF REVIEW: This review aims to provide a comprehensive overview of the efficacy, limitations, and future of e-health treatments for anxiety. Within this, we provide detail on "first-generation" e-health approaches, such as computerized therapies. Additionally, we assess the emergence and early efficacy of newer methods of treatment delivery, including smartphone apps and virtual reality interventions, discussing the potential and pitfalls for each. RECENT FINDINGS: There is now substantial clinical research demonstrating the efficacy of internet-delivered cognitive behavioral therapy in the treatment of anxiety. However, the ability of these interventions for engaging patients in "real-world" settings is unclear. Recently, smartphone apps for anxiety have presented a more popular and ubiquitous method of intervention delivery, although the evidence base supporting these newer approaches drastically falls behind the extensive marketing and commercialization efforts currently driving their development. Meanwhile, the increasing availability of novel technologies, such as "virtual reality" (VR), introduces further potential of e-health treatments for generalized anxiety and anxiety-related disorders such as phobias and obsessive compulsive disorder, while also creating additional challenges for research. Although still in its infancy, e-health research is already presenting several promising avenues for delivering effective and scalable treatments for anxiety. Nonetheless, several important steps must be taken in order for academic research to keep pace with continued technological advances.

Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps.

PURPOSE OF REVIEW: As rates of suicide continue to rise, there is urgent need for innovative approaches to better understand, predict, and care for those at high risk of suicide. Numerous mobile and sensor technology solutions have already been proposed, are in development, or are already available today. This review seeks to assess their clinical evidence and help the reader understand the current state of the field. RECENT FINDINGS: Advances in smartphone sensing, machine learning methods, and mobile apps directed towards reducing suicide offer promising evidence; however, most of these innovative approaches are still nascent. Further replication and validation of preliminary results is needed. Whereas numerous promising mobile and sensor technology based solutions for real time understanding, predicting, and caring for those at highest risk of suicide are being studied today, their clinical utility remains largely unproven. However, given both the rapid pace and vast scale of current research efforts, we expect clinicians will soon see useful and impactful digital tools for this space within the next 2 to 5 years.

Early-life adversity, later-life mental health, and resilience resources: a longitudinal population-based birth cohort analysis.

ABSTRACTBackground:Robust and persistent links between early-life adversities and later-life mental distress have previously been observed. Individual and social resources are associated with greater mental health and resilience. This study aimed to test these resources as moderators and mediators of the association between childhood psychosocial adversity and later-life mental distress. METHODS: Participant data came from the Medical Research Council National Survey of Health and Development, a nationally-representative birth cohort study. The General Health Questionnaire-28 (GHQ-28) captured mental distress at ages 53, 60-64, and 68-69. An eight-item cumulative psychosocial adversity score was created (0, 1, 2, ≥3 adversities). Individual (i.e., education, occupational status, physical activity) and social (i.e., social support, neighborhood cohesion) resources were examined as mediators and moderators of CPA and GHQ-28 in longitudinal multilevel models. FINDINGS: Greater adversity was associated with an average GHQ-28 score increase of 0.017, per unit adversity (ß = 0·017, p < 0·001, 95% CI 0·011, 0·022). Lower mental distress was associated with higher levels of physical activity, occupational status, education, social support, and neighborhood cohesion. There was no evidence that resources moderated the relationship between GHQ-28 and adversity. All resources, save for physical activity and occupational status, partly mediated this relationship. CONCLUSIONS: Individual and social resources were associated with lower mental distress. They did not modify, but partly mediated the association between childhood adversity and adult mental distress. Social support was the most important mediator, suggesting that interventions to promote greater social support may offset psychosocial adversities experienced in childhood to foster better mental health in older adults.

The Emerging Imperative for a Consensus Approach Toward the Rating and Clinical Recommendation of Mental Health Apps.

With over 10,000 mental health- and psychiatry-related smartphone apps available today and expanding, there is a need for reliable and valid evaluation of these digital tools. However, the updating and nonstatic nature of smartphone apps, expanding privacy concerns, varying degrees of usability, and evolving interoperability standards, among other factors, present serious challenges for app evaluation. In this article, we provide a narrative review of various schemes toward app evaluations, including commercial app store metrics, government initiatives, patient-centric approaches, point-based scoring, academic platforms, and expert review systems. We demonstrate that these different approaches toward app evaluation each offer unique benefits but often do not agree to each other and produce varied conclusions as to which apps are useful or not. Although there are no simple solutions, we briefly introduce a new initiative that aims to unify the current controversies in app elevation called CHART (Collaborative Health App Rating Teams), which will be further discussed in a second article in this series.

Medical journals, impact and social media: an ecological study of the Twittersphere.

BACKGROUND: Twitter is an increasingly popular means of research dissemination. I sought to examine the relation between scientific merit and mainstream popularity of general medical journals. METHODS: I extracted impact factors and citations for 2014 for all general medical journals listed in the Thomson Reuters InCites Journal Citation Reports. I collected Twitter statistics (number of followers, number following, number of tweets) between July 25 and 27, 2015 from the Twitter profiles of journals that had Twitter accounts. I calculated the ratio of observed to expected Twitter followers according to citations via the Kardashian Index. I created the (Fifty Shades of) Grey Scale to calculate the analogous ratio according to impact factor. RESULTS: Only 28% (43/153) of journals had Twitter profiles. The scientific and social media impact of journals were correlated: in adjusted models, Twitter followers increased by 0.78% (95% confidence interval [CI] 0.38%-1.18%) for every 1% increase in impact factor and by 0.62% (95% CI 0.34%-0.90%) for every 1% increase in citations. Kardashian Index scores above the 99% CI were obsverved in 16% (7/43) of journals, including 6 of the 7 highest ranked journals by impact factor, whereas 58% (25/43) had scores below this interval. For the Grey Scale, 12% (5/43) of journals had scores above and 35% (15/43) had scores below the 99% CI. INTERPRETATION: The size of a general medical journal's Twitter following is strongly linked to its impact factor and citations, suggesting that higher quality research received more mainstream attention. Many journals have not capitalized on this dissemination method, although others have used it to their advantage.

Americans shooting themselves in the foot: the epidemiology of podiatric self-inflicted gunshot wounds in the United States.

OBJECTIVE: To examine the epidemiology of Americans shooting themselves in the foot. DESIGN: Data from the Firearm Injury Surveillance Study (1993-2010) collected using the National Electronic Injury Surveillance System were examined. Non-fatal firearm-related injuries were recorded during patients' initial emergency department visits. SETTING: United States hospital emergency departments, 1993-2010. PARTICIPANTS: 69 111 individuals admitted to US emergency departments after non-fatal firearm-related incidents. MAIN OUTCOME MEASURE: Demographic and incident characteristics of patients presenting with self-inflicted gunshot wounds to the foot. RESULTS: Of the 69 111 reported firearm-related injuries, 667 (1.0%) were self-inflicted gunshot wounds to the foot. Of these, 597 of the patients (89.6%) were men and 51.7% (345) were aged between 15 and 34 years. Patients generally presented with puncture wounds (265 patients, 39.7%), foreign bodies (164 patients, 24.6%) and bruised egos. Those who shot themselves in the foot were significantly more likely than individuals with other firearm-related injuries to be male (odds ratio [OR], 1.28) and married (OR, 2.6). As the festive season approached, the number of incidents increased; November and December were peak months for shooting oneself in the foot. CONCLUSIONS: The nature of and the circumstances surrounding self-inflicted gunshot wounds to the foot were unique when compared with other firearm-related injuries. Through the large-scale examination of the characteristics of these incidents, trends in the nature of Americans shooting themselves in the foot have been elucidated. Young married men are at particular risk of shooting themselves in the foot. Particular caution must be taken during the festive season to avoid being caught under the missing toe.