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BACKGROUND Understanding fall circumstances can help researchers better identify causes of falls and develop effective and tailored fall prevention programs. This study aims to describe fall circumstances among older adults from quantitative data using conventional statistical approaches and qualitative analyses using a machine learning approach. METHODS The MOBILIZE Boston Study enrolled 765 community-dwelling adults aged 70 years and older in Boston, Massachusetts. Occurrence and circumstances of falls (i.e., locations, activities, and self-reported causes of falls) were recorded using monthly fall calendar postcards and fall follow-up interviews with open- and close-ended questions during a 4-year period. Descriptive analyses were used to summarize circumstances of falls. Natural language processing was used to analyze narrative responses from open-ended questions. Results During the 4-year follow up, 490 participants (64%) had at least one fall. Among 1,829 falls, 965 falls occurred indoors and 804 falls occurred outdoors. Commonly reported activities when the fall occurred were walking (915, 50.0%), standing (175, 9.6%), and going down stairs (125, 6.8%). The most commonly reported causes of falls were slip or trip (943, 51.6%) and inappropriate footwear (444, 24.3%). Using qualitative data, we extracted more detailed information on locations and activities, and additional information on obstacles related to falls and commonly reported scenarios such as “lost my balance and fell”. conclusions Self-reported fall circumstances provide important information on both intrinsic and extrinsic factors contributing to falls. Future studies are warranted to replicate our findings and optimize approaches to analyzing narrative data on fall circumstances in older adults.

Background Diabetes and periodontitis are two intertwined chronic diseases linked by the inflammatory mechanism. Experimental studies indicate that treating periodontitis may benefit glycemic control among people with diabetes. It is not clear whether good oral self-care behaviors such as flossing may reduce risk for periodontitis and improve glycemic control among diabetes populations. The purpose of this study was to examine the associations between flossing and preventive dental care with periodontitis and glycemic control among US dentate adults with diabetes. Methods We analyzed data from the National Health and Nutrition Examination Survey 2011–2014 for 892 participants aged 30 years and older with diabetes who completed the periodontal examination and lab test for hemoglobin A1c (HbA1c). Sampling weights were applied. Multivariable logistic regression and multivariable linear modeling were performed to examine the effects of flossing and preventive dental services on periodontal health and HbA1c levels, respectively, controlling for sociodemographic characteristics, body mass index(BMI), smoking, and other risk factors. Results Among U.S. dentate adults with diabetes, 52.1% of flossers and 72.1% of non-flossers had periodontitis (p

Background Care partners are key members of patients’ health care teams, yet little is known about their experiences accessing patient information via electronic portals. Objective To better understand the characteristics and perceptions of care partners who read patients’ electronic visit notes. Patient involvement Focus groups with diverse patients from a community health center provided input into survey development. Methods We contacted patient portal users at 3 geographically distinct sites in the US via email in 2017 for an online survey including open ended questions which we qualitatively analyzed. Results Respondents chose whether to answer as care partners (N = 874) or patients (N = 28,782). Among care partner respondents, 44% were spouses, 43% children/other family members, and 14% friends/neighbors/other. Both care partners and patients reported that access to electronic notes was very important for promoting positive health behaviors, but care partners’ perceptions of importance were consistently more positive than patients’ perceptions of engagement behaviors. Open-ended comments included positive benefits such as: help with remembering the plan for care, coordinating care with other doctors, decreasing stress of care giving, improving efficiency of visits, and supporting patients from a geographical distance. They also offered suggestions for improving electronic portal and note experience for care partners such as having a separate log on for care partners; having doctors avoid judgmental language in their notes; and the ability to prompt needed medical care for patients. Discussion Care partners value electronic access to patients’ health information even more than patients. The majority of care partners were family members, whose feedback is important for improving portal design that effectively engages these care team members. Practical value Patient care in the time of COVID-19 increasingly requires social distancing which may place additional burden on care partners supporting vulnerable patients. Access to patient notes may promote quality of care by keeping care partners informed, and care partner’s input should be used to optimize portal design and electronic access to patient information.

Background: Disability-adjusted life years (DALYs) are used to evaluate the relative burden of diseases in populations to help set prevention or treatment priorities. The impact of parental cardiovascular health (CVH) on healthy life years lost from cardiovascular disease (CVD) in adult offspring is unknown. We compared parent-offspring CVD DALYs trends over the life course and examined the association of parental CVH with offspring CVD DALYs. Methods: Using data from the Framingham Heart Study, 4814 offspring-mother-father trios were matched for age at selected baseline exams. CVH score was computed from the number of CVH metrics attained at recommended levels: poor (0–2), intermediate (3–4), and ideal (5–7). CVD DALYs were defined as the sum of years of life lost and years lived with CVD. Age-sex-standardized life expectancy and disability weights were derived from the actuarial life tables and Global Burden of Disease study, respectively. Multivariable-adjusted linear regression was used to investigate the association of parental CVH with offspring CVD DALYs. Results: Over an equal 47-year follow-up, parents lost nearly twice the number of CVD DALYs compared to their offspring (23 234 versus 12 217). However, age-adjusted CVD DALYs were higher at younger ages and similar along the life course for parents and offspring. One-unit increase in parental CVH was associated with 5 healthy life months saved in offspring. Offspring of mothers with ideal versus poor CVH had 3 healthy life years saved (β=−3.0 DALYs [95% CI, −5.6 to −0.3]). No statistically significant association was found between paternal CVH categories and offspring CVD DALYs. Conclusions: Higher maternal and paternal CVH were associated with increased healthy life years in offspring; however, the association was strongest between mothers and offspring. Investment in CVH promotion along the life course has the potential to reduce the burden of CVD in the current and future generation of adults.

Background Chronic pain is a risk factor contributing to mobility impairment and falls in older adults. Little is known about the patterns of circumstances of falls among older adults with chronicpain. Objective To examine the relationship between chronic pain and circumstances of falls including location, activities at the time of falls and self-reported causes of falls in older adults. Design Prospective cohort study. Setting Communities in/around Boston, Massachusetts. Subjects The MOBILIZE Boston Study enrolled 765 adults aged ≥70 years. Methods Pain severity, fall occurrence and fall circumstances were recorded using monthly calendar postcards and fall follow-up interviews during a 4-year follow-up period. Generalised estimating equation models were performed to examine the relation between monthly pain ratings and circumstances of the first fall in the subsequent month. Results Compared to fallers without chronic pain, fallers with moderate-to-severe pain had around twice the likelihood of reporting indoor falls (aOR = 1.93, 95%CI: 1.32–2.83), falls in living or dining rooms (aOR = 2.06, 95%CI: 1.27–3.36), and falls due to health problems (aOR = 2.08, 95%CI: 1.16–3.74) or feeling dizzy or faint (aOR = 2.10, 95%CI: 1.08–4.11), but they were less likely to report falls while going down stairs (aOR = 0.48, 95%CI: 0.27–0.87) or falls due to a slip or trip (aOR = 0.67, 95%CI: 0.47–0.95) in the subsequent month. Conclusions Given the exploratory nature of the study, these findings should be interpreted with caution. Future studies may investigate whether better pain management and tailored fall prevention in older people with chronic pain could lead to fewer falls.

Falls are a complex problem and play a leading role in the development of disabilities in the older population. While fall detection systems are important, it is also essential to work on fall preventive strategies, which will have the most significant impact in reducing disability in the elderly. In this work, we explore a prospective cohort study, specifically designed for examining novel risk factors for falls in community-living older adults. Various types of data were acquired that are common for real-world applications. Learning from multiple data sources often leads to more valuable findings than any of the data sources can provide alone. However, simply merging features from disparate datasets usually will not produce a synergy effect. Hence, it becomes crucial to properly manage the synergy, complementarity, and conflicts that arise in multi-source learning. In this work, we propose a multi-source learning approach called the Synergy LSTM model, which exploits complementarity among textual fall descriptions together with people's physical characteristics. We further use the learned complementarities to evaluate fall risk factors present in the data. Experiment results show that our Synergy LSTM model can significantly improve classification performance and capture meaningful relations between data from multiple sources.

To investigate factors predicting hospital mortality and hospital length of stay (LOS) in traumatized adults and older adults, we conducted a three-year retrospective study at an academic hospital, Bangkok, Thailand. We reviewed medical records of 627 trauma patients admitted to the ED. Subjects were classified into 2 groups: adults (□55y), and older adults (□55y). Data were collected for demographic and clinical characteristics, physiologic deterioration using the Modified Early Warning Score (MEWS), severity of injury using the Circulation Respiration Abdomen Motor and Speech Score (CRAMS), and outcomes of hospital mortality and LOS. Multivariable logistic and linear regression models were performed. For hospital mortality, an elevated MEWS (Older adults [n= 267]: MEWS≥3, OR=4.80, 95%CI, 1.02-22.56 vs Adults [n = 360]: MEWS≥4, OR=11.63, 95%CI, 1.94-69.82) and CRAMS (Older adults: CRAMS≤9, OR=19.21, 95%CI, 2.78-132.98 vs Adults: CRAMS≤6, OR=18.58, 95%CI, 3.40-101.65) were strongly predictive, adjusted for demographic and clinical data. For LOS, road traffic accident (RTA) (Older adults: β=0.80, 95%CI, 0.31-1.29, p < .01 vs Adults: β=0.44, 95%CI, 0.21-0.67, p < .001) and falls (Older adults: β=0.88, 95%CI, 0.44-1.32, p < .001 vs Adults: β=0.33, 95%CI, 0.02-0.65, p < .05) were associated with LOS, adjusted for demographic and clinical data. MEWS and CRAMS predicted hospital mortality, and RTA and falls predicted LOS in both age groups. Results support the need for interventions for close monitoring and medical management for older traumatized patients based on CRAMS and MEWS assessment to decrease the risk of death, and targeting those sustaining falls and RTA to reduce prolonged LOS.