Association between polypharmacy and hard braking events in older adult drivers

BACKGROUND

Polypharmacy (i.e., simultaneous use of two or more medications) poses a serious safety concern for older drivers. This study assesses the association between polypharmacy and hard braking events in older adult drivers.

METHODS

Data for this study came from a naturalistic driving study of 2990 older adults. Information about medications was collected through the "brown-bag review" method. Primary vehicles of the study participants were instrumented with data recording devices for up to 44 months. Multivariable negative binomial model was used to estimate the adjusted incidence rate ratios (aIRRs) and 95 % confidence intervals (CIs) of hard-braking events (i.e., maneuvers with linear deceleration rates ≥0.4 g) associated with polypharmacy.

RESULTS

Of the 2990 participants, 2872 (96.1 %) were eligible for this analysis. At the time of enrollment, 157 (5.5 %) drivers were taking fewer than two medications, 904 (31.5 %) were taking 2-5 medications, 895 (31.2 %) were taking 6-9 medications, 571 (19.9 %) were taking 10-13 medications, and 345 (12.0 %) were taking 14 or more medications. Compared to drivers using fewer than two medications, the risk of hard-braking events increased 8 % (aIRR 1.08, 95 % CI 1.04, 1.13) for users of 2-5 medications, 12 % (aIRR 1.12, 95 % CI 1.08, 1.16) for users of 6-9 medications, 19 % (aIRR 1.19, 95 % CI 1.15, 1.24) for users of 10-13 medications, and 34 % (aIRR 1.34, 95 % CI 1.29, 1.40) for users of 14 or more medications.

CONCLUSIONS

Polypharmacy in older adult drivers is associated with significantly increased incidence of hard-braking events in a dose-response fashion. Effective interventions to reduce polypharmacy use may help improve driving safety in older adults.

Diabetes mellitus and hard braking events in older adult drivers

BACKGROUND

Diabetes mellitus (DM) can impair driving safety due to hypoglycemia, hyperglycemia, diabetic peripheral neuropathy, and diabetic eye diseases. However, few studies have examined the association between DM and driving safety in older adults based on naturalistic driving data.

METHODS

Data for this study came from a multisite naturalistic driving study of drivers aged 65-79 years at baseline. Driving data for the study participants were recorded by in-vehicle recording devices for up to 44 months. We used multivariable negative binomial modeling to estimate adjusted incidence rate ratios (aIRRs) and 95% confidence intervals (CIs) of hard braking events (HBEs, defined as maneuvers with deceleration rates ≥ 0.4 g) associated with DM.

RESULTS

Of the 2856 study participants eligible for this analysis, 482 (16.9%) reported having DM at baseline, including 354 (12.4%) insulin non-users and 128 (4.5%) insulin users. The incidence rates of HBEs per 1000 miles were 1.13 for drivers without DM, 1.15 for drivers with DM not using insulin, and 1.77 for drivers with DM using insulin. Compared to drivers without DM, the risk of HBEs was 48% higher for drivers with DM using insulin (aIRR 1.48; 95% CI: 1.43, 1.53).

CONCLUSION

Older adult drivers with DM using insulin appear to be at increased proneness to vehicular crashes. Driving safety should be taken into consideration in DM care and management.

Frailty and poor physical functioning as risk factors for driving cessation

Introduction

Frailty and low physical performance are modifiable factors and, therefore, targets for interventions aimed at delaying driving cessation (DC). The objective was to determine the impact of frailty and physical performance on DC.

Methods

Multisite prospective cohort of older drivers. The key inclusion criteria are as follows: active driver age 65-79 years, possessing a valid driver's license, without significant cognitive impairment, and driving a 1996 car or a newer model car. Of the 2,990 enrolled participants, 2,986 (99.9%) had at least one frailty or Short Physical Performance Battery (SPPB) measure and were included in this study. In total, 42% of participants were aged 65-69 years, 86% were non-Hispanic white, 53% were female, 63% were married, and 41% had a high degree of education. The Fried Frailty Phenotype and the Expanded Short Physical Performance Battery (SPPB) from the National Health and Aging Trends Study were utilized. At each annual visit, DC was assessed by the participant notifying the study team or self-reporting after no driving activity for at least 30 days, verified via GPS. Cox proportional hazard models, including time-varying covariates, were used to examine the impact of the SPPB and frailty scores on time to DC. This assessment included examining interactions by sex.

Results

Seventy-three participants (2.4%) stopped driving by the end of year 5. Among women with a fair SPPB score, the adjusted hazard ratio (HR) of DC was 0.26 (95% confidence interval (CI) 0.10-0.65) compared to those with a poor SPPB score. For those with a good SPPB score, the adjusted HR of DC had a p-value of <0.001. Among men with a fair SPPB score, the adjusted hazard ratio (HR) of DC was 0.45 (95% CI 0.25-0.81) compared to those with a poor SPPB score. For men with a good SPPB score, the adjusted HR of DC was 0.19 (95% CI 0.10-0.36). Sex was not an effect modifier between frailty and DC. For those who were categorized into pre-frail or frail, the adjusted ratio of HR to DC was 6.1 (95% CI 2.7-13.8) compared to those who were not frail.

Conclusion and relevance

Frailty and poor physical functioning are major risk factors for driving cessation. Staying physically active may help older adults to extend their driving life expectancy and mobility.

Association of Depression and Antidepressant Use With Driving Behaviors in Older Adults: A LongROAD Study

Older adults aged 70 and older who drive have higher crash death rates per mile driven compared to middle aged (35-54 years) adults who drive in the US. Prior studies have found that depression and or antidepressant medication use in older adults are associated with an increase in the vehicular crash rate. Using data from the prospective multi-site AAA Longitudinal Research on Aging Drivers Study, this analysis examined the independent and interdependent associations of self-reported depression and antidepressant use with driving behaviors that can increase motor vehicle crash risk such as hard braking, speeding, and night-time driving in adults over age 65. Of the 2951 participants, 6.4% reported having depression and 21.9% were on an antidepressant medication. Correcting for age, race, gender, and education level, participants on an antidepressant had increased hard braking events (1.22 [1.10-1.34]) but self-reported depression alone was not associated with changes in driving behaviors.

Migraine headaches are associated with motor vehicle crashes and driving habits among older drivers: Prospective cohort study

BACKGROUND

Migraine headache is common in older adults, often causing symptoms that may affect driving safety. This study examined associations of migraine with motor vehicle crashes (MVCs) and driving habits in older drivers and assessed modification of associations by medication use.

METHODS

In a multi-site, prospective cohort study of active drivers aged 65-79 (53% female), we assessed prevalent migraine (i.e., ever had migraine, reported at enrollment), incident migraine (diagnosis first reported at a follow-up visit), and medications typically used for migraine prophylaxis and treatment. During 2-year follow-up, we recorded self-reported MVCs and measured driving habits using in-vehicle GPS devices. Associations of prevalent migraine with driving outcomes were estimated in multivariable mixed models. Using a matched design, associations of incident migraine with MVCs in the subsequent year were estimated with conditional logistic regression. Interactions between migraine and medications were tested in all models.

RESULTS

Of 2589 drivers, 324 (12.5%) reported prevalent migraine and 34 (1.3%) incident migraine. Interactions between migraine and medications were not statistically significant in any models. Prevalent migraine was not associated with MVCs in the subsequent 2 years (adjusted OR [aOR] = 0.98; 95% CI: 0.72, 1.35), whereas incident migraine significantly increased the odds of having an MVC within 1 year (aOR = 3.27; 1.21, 8.82). Prevalent migraine was associated with small reductions in driving days and trips per month and increases in hard braking events in adjusted models.

CONCLUSION

Our results suggest substantially increased likelihood of MVCs in the year after newly diagnosed migraine, indicating a potential need for driving safety interventions in these patients. We found little evidence for MVC risk or substantial changes in driving habits associated with prevalent migraine. Future research should examine timing, frequency, and severity of migraine diagnosis and symptoms, and use of medications specifically prescribed for migraine, in relation to driving outcomes.

Impact of driving cessation on health-related quality of life trajectories

BACKGROUND

Trajectories of health-related quality of life (HRQoL) after driving cessation (DC) are thought to decline steeply, but for some, HRQoL may improve after DC. Our objective is to examine trajectories of HRQoL for individuals before and after DC. We hypothesize that for urban drivers, volunteers and those who access alternative transportation participants' health may remain unchanged or improve.

METHODS

This study uses data from the AAA Longitudinal Research on Aging Drivers (LongROAD) study, a prospective cohort of 2,990 older drivers (ages 65-79 at enrollment). The LongROAD study is a five-year multisite study and data collection ended October 31, 2022. Participants were recruited using a convenience sample from the health centers roster. The number of participants approached were 40,806 with 7.3% enrolling in the study. Sixty-one participants stopped driving permanently by year five and had data before and after DC. The PROMIS®-29 Adult Profile was utilized and includes: 1) Depression, 2) Anxiety, 3) Ability to Participate in Social Roles and Activities, 4) Physical Function, 5) Fatigue, 6) Pain Interference, 7) Sleep Disturbance, and 8) Numeric Pain Rating Scale. Adjusted (age, education and gender) individual growth models with 2989 participants with up to six observations from baseline to year 5 in the models (ranging from n = 15,041 to 15,300) were utilized.

RESULTS

Ability to participate in social roles and activities after DC improved overall. For those who volunteered, social roles and activities declined not supporting our hypothesis. For those who accessed alternative transportation, fatigue had an initial large increase immediately following DC thus not supporting our hypothesis. Urban residents had worse function and more symptoms after DC compared to rural residents (not supporting our hypothesis) except for social roles and activities that declined steeply (supporting our hypothesis).

CONCLUSIONS

Educating older adults that utilizing alternative transportation may cause initial fatigue after DC is recommended. Accessing alternative transportation to maintain social roles and activities is paramount for rural older adults after DC especially for older adults who like to volunteer.

Interaction between benzodiazepines and prescription opioids on incidence of hard braking events in older drivers

BACKGROUND

Polypharmacy use among older adults is of increasing concern for driving safety. This study assesses the individual and joint effects of benzodiazepines and prescription opioids on the incidence of hard braking events in older drivers.

METHODS

Data for this study came from the Longitudinal Research on Aging Drivers project-a multisite, prospective cohort study of 2990 drivers aged 65-79 years at enrollment (2015-2017). Adjusted incidence rate ratios (aIRRs) and 95% confidence intervals (CIs) of hard braking events (defined as maneuvers with deceleration rates ≥0.4 g and commonly known as near-crashes) were estimated through multivariable negative binominal modeling.

RESULTS

Of the 2929 drivers studied, 167 (5.7%) were taking benzodiazepines,  163 (5.6%) prescription opioids, and 23 (0.8%) both drugs at baseline. The incidence rates of hard braking events per 1000 miles driven were 1.14 (95% CI 1.10-1.18) for drivers using neither benzodiazepines nor prescription opioids, 1.25 (95% CI 1.07-1.43) for those using benzodiazepines only, 1.55 (95% CI 1.35-1.76) for those using prescription opioids only, and 1.63 (95% CI 1.11-2.16) for those using both medications. Multivariable modeling revealed that the use of prescription opioids was associated with a 19% increased risk of hard braking events (aIRR 1.19, 95% CI 1.03-1.36). There existed a positive interaction between the two drugs on the additive scale but not on the multiplicative scale.

CONCLUSION

Concurrent use of benzodiazepines and prescription opioids by older drivers appears to affect driving safety through increased incidence of hard braking events.

Improvements in dietary intake, behaviors, and psychosocial measures in a community-randomized cardiovascular disease risk reduction intervention: Strong Hearts, Healthy Communities 2.0

BACKGROUND

Cardiovascular disease (CVD) prevalence has disproportionately risen among midlife and older female adults of rural communities, partly due to poor diet and diet-related behaviors and psychosocial factors that impede healthy eating.

OBJECTIVES

This study aimed to evaluate the impact of Strong Hearts Healthy Communities 2.0 (SHHC-2.0) on secondary diet-related outcomes between intervention and control participants that align with the dietary goal and behavioral aims of the SHHC-2.0, a CVD risk reduction program.

METHODS

A community-randomized controlled trial was conducted in rural, medically underserved communities. Participants were female adults ≥40 y who were classified as obese or both overweight and sedentary. Communities were randomized to SHHC-2.0 intervention (n = 5 communities; n = 87 participants) or control (with delayed intervention) (n = 6 communities; n = 95 participants). SHHC-2.0 consisted of 24 wk of twice-weekly experiential nutrition education and group-based physical activity classes led by local health educators. Changes between baseline and end point (24 wk) in dietary intake (24-h recalls), dietary behaviors (e.g., Rapid Eating Assessment for Participants-Short Version [REAP-S] scores) and diet-related psychosocial measures (e.g., Three Factor Eating questionnaire) between groups were analyzed using linear mixed-effects multilevel models.

RESULTS

At 24 wk, participants from the 5 intervention communities, compared with controls, consumed fewer calories (mean difference [MD]= -211 kcal, 95% CI: -412, -110, P = 0.039), improved overall dietary patterns measured by REAP-S scores (MD: 3.9; 95% CI: 2.26, 5.6; P < 0.001), and improved psychosocial measures (healthy eating attitudes, uncontrolled eating, cognitive restraint, and emotional eating).

CONCLUSIONS

SHHC-2.0 has strong potential to improve diet patterns and diet-related psychosocial wellbeing consistent with improved cardiovascular health. This trial was registered at www.

CLINICALTRIALS

gov as NCT03059472.

Motor Vehicle Crash Risk in Older Adult Drivers With Attention-Deficit/Hyperactivity Disorder

Importance

Symptoms of attention-deficit/hyperactivity disorder (ADHD), such as inattentiveness and impulsivity, could affect daily functioning and driving performance throughout the life span. Previous research on ADHD and driving safety is largely limited to adolescents and young adults.

Objective

To examine the prevalence of ADHD and the association between ADHD and crash risk among older adult drivers.

Design, Setting, and Participants

This prospective cohort study collected data from primary care clinics and residential communities in 5 US sites (Ann Arbor, Michigan; Baltimore, Maryland; Cooperstown, New York; Denver, Colorado; and San Diego, California) between July 6, 2015, and March 31, 2019. Participants were active drivers aged 65 to 79 years at baseline enrolled in the Longitudinal Research on Aging Drivers project who were studied for up to 44 months through in-vehicle data recording devices and annual assessments. The data analysis was performed between July 15, 2022, and August 14, 2023.

Exposure

Lifetime ADHD based on an affirmative response to the question of whether the participant had ever had ADHD or had ever been told by a physician or other health professional that he or she had ADHD.

Main Outcomes and Measures

The main outcomes were hard-braking events defined as maneuvers with deceleration rates of 0.4g or greater, self-reported traffic ticket events, and self-reported vehicular crashes. Multivariable negative binomial modeling was used to estimate adjusted incidence rate ratios (aIRRs) and 95% CIs of outcomes according to exposure status.

Results

Of the 2832 drivers studied, 1500 (53.0%) were women and 1332 (47.0%) were men with a mean (SD) age of 71 (4) years. The lifetime prevalence of ADHD in the study sample was 2.6%. Older adult drivers with ADHD had significantly higher incidence rates of hard-braking events per 1000 miles than those without ADHD (1.35 [95% CI, 1.30-1.41] vs 1.15 [95% CI, 1.14-1.16]), as well as self-reported traffic ticket events per 1 million miles (22.47 [95% CI, 16.06-31.45] vs 9.74 [95% CI, 8.99-10.55]) and self-reported vehicular crashes per 1 million miles (27.10 [95% CI, 19.95-36.80] vs 13.50 [95% CI, 12.61-14.46]). With adjustment for baseline characteristics, ADHD was associated with a significant 7% increased risk of hard-braking events (aIRR, 1.07; 95% CI, 1.02-1.12), a 102% increased risk of self-reported traffic ticket events (aIRR, 2.02; 95% CI, 1.42-2.88), and a 74% increased risk of self-reported vehicular crashes (aIRR, 1.74; 95% CI, 1.26-2.40).

Conclusions and Relevance

As observed in this prospective cohort study, older adult drivers with ADHD may be at a significantly elevated crash risk compared with their counterparts without ADHD. These findings suggest that effective interventions to improve the diagnosis and clinical management of ADHD among older adults are warranted to promote safe mobility and healthy aging.

Associations of cannabis use with motor vehicle crashes and traffic stops among older drivers: AAA LongROAD study

BACKGROUND

Acute cannabis use is associated with a higher risk of motor vehicle crashes (MVC). This study aimed to determine if self-reported past-year cannabis use is associated with MVC or traffic stops among older drivers.

METHODS

This cross-sectional analysis used data from a multi-center study enrolling active drivers aged 65-79 years. Data regarding cannabis use, MVC, and traffic stops (i.e., being pulled over by police, whether ticketed or not) within the previous 12 months were collected through participant interviews. Log-binomial regression models examined associations of past-year cannabis use with MVC and traffic stops, adjusting for site and sociodemographic and mental health characteristics.

RESULTS

Of 2,095 participating older drivers, 186 (8.88%) used cannabis in the past year but only 10 (<0.5%) within an hour before driving in the last 30 days; 11.41% reported an MVC and 9.45% reported a traffic stop. Past-year cannabis users had a higher prevalence of MVC (adjusted prevalence ratio [aPR] = 1.38; 95%CI: 0.96, 2.00; p = 0.086) and traffic stops (aPR = 1.58; 1.06, 2.35; p = 0.024).

CONCLUSIONS

Past-year cannabis use was associated with increased traffic stops, which are correlated modestly with increased MVC in past studies and may indicate impaired driving performance. We did not find a statistically significant association of past-year cannabis use with MVC, which may indicate limited sustained effects on driving performance from periodic use among older adults, who report rarely driving immediately after use.

The National Clinical Care Commission Report to Congress: Leveraging Federal Policies and Programs to Prevent Diabetes in People With Prediabetes

Individuals with an elevated fasting glucose level, elevated glucose level after glucose challenge, or elevated hemoglobin A1c level below the diagnostic threshold for diabetes (collectively termed prediabetes) are at increased risk for type 2 diabetes. More than one-third of U.S. adults have prediabetes but fewer than one in five are aware of the diagnosis. Rigorous scientific research has demonstrated the efficacy of both intensive lifestyle interventions and metformin in delaying or preventing progression from prediabetes to type 2 diabetes. The National Clinical Care Commission (NCCC) was a federal advisory committee charged with evaluating and making recommendations to improve federal programs related to the prevention of diabetes and its complications. In this article, we describe the recommendations of an NCCC subcommittee that focused primarily on prevention of type 2 diabetes in people with prediabetes. These recommendations aim to improve current federal diabetes prevention activities by 1) increasing awareness of and diagnosis of prediabetes on a population basis; 2) increasing the availability of, referral to, and insurance coverage for the National Diabetes Prevention Program and the Medicare Diabetes Prevention Program; 3) facilitating Food and Drug Administration review and approval of metformin for diabetes prevention; and 4) supporting research to enhance the effectiveness of diabetes prevention. Cognizant of the burden of type 1 diabetes, the recommendations also highlight the importance of research to advance our understanding of the etiology of and opportunities for prevention of type 1 diabetes.

The National Clinical Care Commission Report to Congress: Recommendations to Better Leverage Federal Policies and Programs to Prevent and Control Diabetes

The National Clinical Care Commission (NCCC) was established by Congress to make recommendations to leverage federal policies and programs to more effectively prevent and treat diabetes and its complications. The NCCC developed a guiding framework that incorporated elements of the Socioecological and Chronic Care Models. It surveyed federal agencies and conducted follow-up meetings with representatives from 10 health-related and 11 non-health-related federal agencies. It held 12 public meetings, solicited public comments, met with numerous interested parties and key informants, and performed comprehensive literature reviews. The final report, transmitted to Congress in January 2022, contained 39 specific recommendations, including 3 foundational recommendations that addressed the necessity of an all-of-government approach to diabetes, health equity, and access to health care. At the general population level, the NCCC recommended that the federal government adopt a health-in-all-policies approach so that the activities of non-health-related federal agencies that address agriculture, food, housing, transportation, commerce, and the environment be coordinated with those of health-related federal agencies to affirmatively address the social and environmental conditions that contribute to diabetes and its complications. For individuals at risk for type 2 diabetes, including those with prediabetes, the NCCC recommended that federal policies and programs be strengthened to increase awareness of prediabetes and the availability of, referral to, and insurance coverage for intensive lifestyle interventions for diabetes prevention and that data be assembled to seek approval of metformin for diabetes prevention. For people with diabetes and its complications, the NCCC recommended that barriers to proven effective treatments for diabetes and its complications be removed, the size and competence of the workforce to treat diabetes and its complications be increased, and new payment models be implemented to support access to lifesaving medications and proven effective treatments for diabetes and its complications. The NCCC also outlined an ambitious research agenda. The NCCC strongly encourages the public to support these recommendations and Congress to take swift action.

Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score

Several recent studies indicate that atypical changes in driving behaviors appear to be early signs of mild cognitive impairment (MCI) and dementia. These studies, however, are limited by small sample sizes and short follow-up duration. This study aims to develop an interaction-based classification method building on a statistic named Influence Score (i.e., I-score) for prediction of MCI and dementia using naturalistic driving data collected from the Longitudinal Research on Aging Drivers (LongROAD) project. Naturalistic driving trajectories were collected through in-vehicle recording devices for up to 44 months from 2977 participants who were cognitively intact at the time of enrollment. These data were further processed and aggregated to generate 31 time-series driving variables. Because of high dimensional time-series features for driving variables, we used I-score for variable selection. I-score is a measure to evaluate variables' ability to predict and is proven to be effective in differentiating between noisy and predictive variables in big data. It is introduced here to select influential variable modules or groups that account for compound interactions among explanatory variables. It is explainable regarding to what extent variables and their interactions contribute to the predictiveness of a classifier. In addition, I-score boosts the performance of classifiers over imbalanced datasets due to its association with the F1 score. Using predictive variables selected by I-score, interaction-based residual blocks are constructed over top I-score modules to generate predictors and ensemble learning aggregates these predictors to boost the prediction of the overall classifier. Experiments using naturalistic driving data show that our proposed classification method achieves the best accuracy (96%) for predicting MCI and dementia, followed by random forest (93%) and logistic regression (88%). In terms of F1 score and AUC, our proposed classifier achieves 98% and 87%, respectively, followed by random forest (with an F1 score of 96% and an AUC of 79%) and logistic regression (with an F1 score of 92% and an AUC of 77%). The results indicate that incorporating I-score into machine learning algorithms could considerably improve the model performance for predicting MCI and dementia in older drivers. We also performed the feature importance analysis and found that the right to left turn ratio and the number of hard braking events are the most important driving variables to predict MCI and dementia.

Changes in physical activity outcomes in the Strong Hearts, Healthy Communities (SHHC-2.0) community-based randomized trial

BACKGROUND

Physical inactivity is a risk factor for numerous adverse health conditions and outcomes, including all-cause mortality. Aging rural women are at particular risk for physical inactivity based on environmental, sociocultural, and psychosocial factors. This study reports on changes in physical activity and associated factors from a multicomponent community-engaged intervention trial.

METHODS

Strong Hearts, Healthy Communities 2.0 (SHHC-2.0) was a 24-week cluster (community) randomized controlled trial building on the results from the previous trial of SHHC-1.0. Rural women (n = 182) aged 40 and over living in 11 rural communities in upstate New York were recruited. The intervention consisted of twice-weekly experiential classes focused on exercise, nutrition, and civic engagement. Physical activity outcomes included accelerometry and self-report as well as related psychosocial measures at midpoint (12 weeks) and post-intervention (24 weeks). Data were analyzed using multilevel linear regression models with the community as the random effect.

RESULTS

Compared to participants from the control communities, participants in the intervention communities showed a significant increase in objectively measured moderate to vigorous intensity physical activity: at 12 weeks (increase of 8.1 min per day, P < 0.001) and at 24 weeks (increase of 6.4 min per day; P = 0.011). Self-reported total MET minutes per week also increased: at 12 weeks (increase of 725.8, P = 0.003) and 24 weeks (increase of 955.9, P = 0.002). Several of the psychosocial variables also showed significant positive changes.

CONCLUSIONS

The SHHC-2.0 intervention successfully increased physical activity level and related outcome measures. Modifications made based upon in-depth process evaluation from SHHC-1.0 appear to have been effective in increasing physical activity in this at-risk population.

TRIAL REGISTRATION

Clinicaltrials.gov: NCT03059472. Registered 23 February 2017.

DIABETES MELLITUS AND HARD BRAKING EVENTS IN OLDER DRIVERS

There are an estimated 37 million people with diabetes mellitus (DM) in the United States, including 16 million older adults. DM can impair patients’ driving safety due to diabetic peripheral neuropathy, hypoglycemia, or hyperglycemia, and eye diseases. However, few studies have examined the association between DM and driving safety based on naturalistic driving data. Data for this study came from the Longitudinal Research on Aging Drivers (LongROAD) project, a multisite naturalistic driving study of 2990 drivers aged 65–79 years at baseline. Driving data for the study participants were recorded by in-vehicle recording devices for up to 44 months. We used multivariable negative binomial modeling to estimate the incidence rate ratios (IRRs) and 95% confidence intervals (CIs) of hard braking events (i.e., proxies for unsafe driving behavior defined as maneuvers with deceleration rates ≥ 0.4 g) associated with DM. Of the 2856 study participants eligible for this study, 482 (16.9%) reported having DM at baseline. The overall incidence rate of hard braking events was 1.16 per 1000 miles. Adjusted for age, race/ethnicity, marital status, education level, annual household income, urbanicity, history of stroke, and number of medications, drivers with DM had a 10% increased rate of hard braking events compared to drivers without DM (adjusted IRR 1.10; 95% CI: 1.08, 1.12). Results of this study indicates that DM is associated with a significantly increased rate of hard braking events in older drivers, suggesting less safe driving. Driving safety should be incorporated into DM management and care programs.

Association of falls and fear of falling with objectively-measured driving habits among older drivers: LongROAD study

OBJECTIVE

Falls in older adults are associated with increased motor vehicle crash risk, possibly mediated by driving behavior. We examined the relationship of falls and fear of falling (FOF) with subsequent objectively measured driving habits.

METHODS

This multi-site, prospective cohort study enrolled 2990 active drivers aged 65-79 (53% female). At enrollment, we assessed falls in the past year and FOF (Short Falls Efficacy Scale-International). Driving outcomes included exposure, avoidance of difficult conditions, and unsafe driving during one-year follow-up, using in-vehicle Global Positioning System devices.

RESULTS

Past-year falls were associated with more hard braking events (HBE). High FOF was associated with driving fewer days, miles, and trips, driving nearer home and more HBE. Differences were attenuated and not significant after accounting for health, function, medications and sociodemographics.

DISCUSSION

Differences in objectively measured driving habits according to past-year fall history and FOF were largely accounted for by differences in health and medications. Rather than directly affecting driving, falls and FOF may serve as markers for crash risk and reduced community mobility due to age-related changes and poor health.

Improvements and Maintenance of Clinical and Functional Measures Among Rural Women: Strong Hearts, Healthy Communities-2. 0 Cluster Randomized Trial

BACKGROUND

Cardiovascular disease is the leading cause of death in the United States; however, women and rural residents face notable health disparities compared with male and urban counterparts. Community-engaged programs hold promise to help address disparities through health behavior change and maintenance, the latter of which is critical to achieving clinical improvements and public health impact.

METHODS

A cluster-randomized controlled trial of Strong Hearts, Healthy Communities-2.0 conducted in medically underserved rural communities examined health outcomes and maintenance among women aged ≥40 years, who had a body mass index >30 or body mass index 25 to 30 and also sedentary. The multilevel intervention provided 24 weeks of twice-weekly classes with strength training, aerobic exercise, and skill-based nutrition education (individual and social levels), and civic engagement components related to healthy food and physical activity environments (community, environment, and policy levels). The primary outcome was change in weight; additional clinical and functional fitness measures were secondary outcomes. Mixed linear models were used to compare between-group changes at intervention end (24 weeks); subgroup analyses among women aged ≥60 years were also conducted. Following a 24-week no-contact period, data were collected among intervention participants only to evaluate maintenance.

RESULTS

Five communities were randomized to the intervention and 6 to the control (87 and 95 women, respectively). Significant improvements were observed for intervention versus controls in body weight (mean difference: -3.15 kg [95% CI, -4.98 to -1.32]; P=0.008) and several secondary clinical (eg, waist circumference: -3.02 cm [-5.31 to -0.73], P=0.010; systolic blood pressure: -6.64 mmHg [-12.67 to -0.62], P=0.031; percent body fat: -2.32% [-3.40 to -1.24]; P<0.001) and functional fitness outcomes; results were similar for women aged ≥60 years. The within-group analysis strongly suggests maintenance or further improvement in outcomes at 48 weeks.

CONCLUSIONS

This cardiovascular disease prevention intervention demonstrated significant, clinically meaningful improvements and maintenance among rural, at-risk older women.

REGISTRATION

URL: https://www.

CLINICALTRIALS

gov; Unique identifier: NCT03059472.

Implementation of Evidence-Based Disease Self-Management Programs in a Rural Region: Leveraging and Linking Community and Health Care System Assets

CONTEXT

Rural populations experience both a higher prevalence of and risk for premature death from chronic conditions than do their urban counterparts. Yet barriers to implement community-based chronic disease self-management programs persist.

PROGRAM

The Living Well program, a multi-sector collaboration between a rural health care system and a network of community-based organizations, has offered the 6-week evidence-based Chronic Disease Self-Management and Diabetes Self-Management workshops since 2017. The program was a response to a quality improvement initiative to improve hypertension and diabetes outcomes throughout the health care system.

IMPLEMENTATION

Using the rapid cycling quality improvement process, Living Well developed a self-management program recruitment, referral, and coordinating office for a six-county region. Through continuous capacity-building efforts with community partners, as well as leveraging key health care system assets such as the electronic health record and provider detailing, program reach and adoption was increased.

EVALUATION

The Reach, Effectiveness, Adoption, Implementation, and Maintenance framework was used for the process evaluation. During 3 years, more than 750 individuals engaged with the program, with nearly 600 completing a workshop. The region saw increased engagement by primary care clinicians to refer, and structural changes were embedded into the health care system to facilitate clinic-community partnerships.

DISCUSSION

A coordinated, multi-sector approach is necessary to develop solutions to complex, chronic health problems. A regional coordinating hub is an effective strategy for implementing community-based programs in rural areas. However, low health care system engagement and fragmented funding remain as barriers to optimal implementation.

Evaluating the Implementation of the Diabetes Self-Management Program in a Rural Population

The evidence-based Diabetes Self-Management Program (DSMP) has been shown to improve a variety of health-related outcomes, but the program has been challenging to implement in rural areas, and rural dissemination has been low. The purpose of this project was to evaluate the effect of implementing the DSMP on self-reported outcomes in a rural region. Through a collaboration with multiple partners, the Living Well program delivered 28 DSMP workshops from 2017 to 2019. Data were collected to determine whether there were post-intervention changes in patient-reported outcomes on measures of diabetes distress, self-management, and patient activation. In addition, secondary analysis of A1C was abstracted from the medical records of participants with type 2 diabetes who completed at least four sessions of a DSMP workshop between 2017 and 2019 and whose medical records had an A1C value in the year before the program and at least one A1C value >3 months after the program. Statistically significant improvements were seen for the Diabetes Distress Scale (P = 0.0017), the Diabetes Self-Management Questionnaire (P <0.0001) and the 10-item Patient Activation Measure (P <0.0001). There was no evidence of change in A1C over time in analyses of all participants (P = 0.5875), but a consistent though nonsignificant (P = 0.1087) decline in A1C was seen for a subset of participants with a baseline A1C ≥8%. This evaluation provides preliminary support for implementing the DSMP as part of a comprehensive treatment and self-management plan for people living with diabetes in rural areas.

Evaluation of a Peer Led Chronic Pain Self-Management Program in a Rural Population

BACKGROUND

The Chronic Pain Self-Management Program is an evidence-based intervention that has been shown to be efficacious in reducing symptoms of chronic pain. However, there is a paucity of research examining CPSMP in a predominantly rural population. The purpose was to evaluate patient-reported outcomes of in-person peer-led CPSMP workshops offered in a rural region in 2018 and 2019.

METHODS

Participants were surveyed at baseline and 6 months post-workshop. Descriptive statistics were used to describe characteristics of CPSMP completers. Paired t-tests were used to analyze change in depression score (PHQ-8), disability (modified Roland-Morris Disability Questionnaire), self-efficacy, and patient activation (PAM-10). Analysis of variance was used to detect differences over time by age group, education, insurance type, self-rated health, and comorbidities.

RESULTS

Among the 327 adults who enrolled in a workshop, 73.1% completed. Of completers, 74.9% were female, average age was 65. Significant improvements were observed in pain disability (P = .0008), patient activation (P = .0362), depression (P < .0001), and self-efficacy (P < .0001), at 6 weeks; and pain disability (P = .0030), depression (P = .0015), and self-efficacy (P = .0064) at 6 months post-program. Individuals who rated their health as fair/poor at baseline reported greater improvements in depression scores than individuals who rated their health as good or better (P < .0002). There were also distinct patterns of change in pain disability among the different age groups. No other differences between groups were noted.

CONCLUSIONS

The CPSMP appears to improve pain self-efficacy, disability, and depression regardless of age, gender, insurance status, education, or comorbidities. Healthcare and community organizations should consider investing in and offering chronic pain workshops in rural areas in order to promote health and wellness.

Rate of Social Isolation by Geographic Location Among Older Adults: AAA LongROAD Study

Introduction: Social isolation is a modifiable risk factor for negative health outcomes among older adults. This work assessed the relationship between geography (i.e., urban vs. non-urban residence) and social isolation in a cohort of older drivers.

Methods: The AAA LongROAD cohort with 2,989 older adult drivers from across the country were included. Social isolation was measured at baseline and at two subsequent annual follow-ups using PROMIS v2.0 Social Isolation 4a. The effect of geographic location with social isolation was assessed through with multivariable regression using a generalized estimating equation model.

Results: The rate of social isolation in urban areas was 21% lower (adjusted RR 0.79, 95% CI 0.46, 1.36) compared to non-urban areas after adjusting for covariates, though not significant.

Discussion: Social isolation is a predictor of poor health outcomes and geographic considerations have been lacking in the literature. The panel data in this analysis provides more evidence for causality though the under-representation of non-urban areas potentially reduces the power for the results.

Conclusions: It is important to understand the needs and risk of social isolation in various geographic settings to ensure resources and interventions are appropriately modified for a greater public health impact.

Physical activity and healthy eating behavior changes among rural women: an exploratory mediation analysis of a randomized multilevel intervention trial

Rural women experience disproportionately higher levels of obesity in comparison to their non-rural counterparts. The present exploratory mediation analysis sought to identify mechanisms that might have contributed to rural women's physical activity and diet changes after participating in a 6-month multilevel community-randomized trial: Strong Hearts, Healthy Communities (SHHC). SHHC was conducted in 16 rural towns in Montana and New York, between 2015 and 2016; 194 overweight, sedentary midlife, and older women (mean age 59; 26.8% overweight; 73.2% obese) participated. Participants in eight towns received the SHHC intervention (n = 101), which focused on healthy behavior change at the individual level as well as creating supportive social and built environments for physical activity and healthy eating. Participants in the other eight towns received an education-only control intervention (n = 93). We investigated the direct and indirect effects of the SHHC intervention through changes to self-efficacy, social support, and built environment perception, on changes in participants' physical activity and diet. Compared to the controls, SHHC intervention participants increased their social support from friends for physical activity (p = 0.009) and healthy eating (p = 0.032). Participants' improved social support from friends marginally mediated the intervention effects for walking metabolic equivalent minutes per week, explaining 40.5% of the total effect (indirect effect = +45.24, 95% CI: -1.51, +91.99; p = 0.059). Increasing social support from friends appears to be helpful in encouraging rural women to become more active. Further investigations are needed to better understand how multilevel interventions work in rural communities.

Adapted Stopping Elderly Accidents, Deaths, and Injuries Questions for Falls Risk Screening: Predictive Ability in Older Drivers

INTRODUCTION

Fall fatality rates among U.S. older adults increased 30% from 2007 to 2016. In response, the Centers for Disease Control and Prevention developed the Stopping Elderly Accidents, Deaths, and Injuries algorithm for fall risk screening, assessment, and intervention. The current Stopping Elderly Accidents, Deaths, and Injuries algorithm with 2 levels (at risk and not at risk) was adapted to an existing cohort of older adult drivers.

METHODS

A U.S. multisite prospective cohort (N=2,990) of drivers (aged 65-79 years), from 2015 to 2017, was used for these analyses completed in January 2020-October 2020. To measure the adapted Stopping Elderly Accidents, Deaths, and Injuries key questions for fall risk screening performance in predicting future falls, adjusted logistic regression determined the area of the receiver operating characteristic curve. An adjusted mixed logistic regression modeled the association between the adapted Stopping Elderly Accidents, Deaths, and Injuries key questions and future falls.

RESULTS

The adapted Stopping Elderly Accidents, Deaths, and Injuries key questions yielded an area under the curve of 0.65 in determining any fall over 2 years. The adjusted mixed logistic regression model suggests that those at risk for falls at baseline were associated with 2.37 times higher odds of any fall (95% CI=2.00, 2.80) and 3.60 times higher odds of multiple falls (95% CI=2.88, 4.51) over 2 years.

CONCLUSIONS

The adapted Stopping Elderly Accidents, Deaths, and Injuries key questions for fall risk screening yielded fair predictive ability for falls over 2 years and were strongly associated with future falls for older adult drivers. The adapted Stopping Elderly Accidents, Deaths, and Injuries key questions can be applied to existing data in nonclinical settings to strengthen fall screening and prevention at a population level.

Telomere shortening correlates with disease severity in hemoglobin H disease patients

Hemoglobin H (Hb H) disease is the most significant health problem of the α-thalassemia syndromes. The Hb disease patients are categorized based on their genotype to deletional and nondeletional, with the latter genotype presents the more severe clinical symptoms. Since telomere length is an indicator of biological aging and health, we hypothesized that telomere length could reflect Hb H disease's severity. In this study, we recruited 48 deletional and 47 nondeletional Hb H disease patients, along with 109 normal controls, for telomere length assessment. The leukocyte telomere length was assessed by monochromatic multiplex real-time PCR and reported as the telomere to single-copy gene (T/S) ratio. When telomere length was adjusted for age, the analysis of covariance between the control and the two Hb H disease groups revealed no significant difference. However, the telomere shortening rate was more rapid in the nondeletional Hb H disease group than those of the control and deletional Hb H disease groups. Gender analysis found that male patients have a significantly lower T/S ratio than females in the nondeletional group but not in the control and deletional groups. In the two disease groups, the T/S ratio was not influenced by ferritin level or transfusion burden but was positively correlated with the absolute reticulocyte count.

The Influence of Hearing Impairment on Driving Avoidance Among a Large Cohort of Older Drivers

As people age, some of the commonly experienced psychomotor, visual, and cognitive declines can interfere with the ability to safely drive, often leading to situational avoidance of challenging driving situations. The effect of hearing impairment on these avoidance behaviors has not been comprehensively studied. Data from the American Automobile Association (AAA) Longitudinal Research on Aging Drivers (LongROAD) study were used to assess the effect of hearing impairment on driving avoidance, using three measures of hearing. Results indicated that hearing loss plays a complex role in driving avoidance, and that an objective hearing measure was a stronger predictor than hearing aid use and self-rated hearing. Greater hearing impairment was related to less nighttime and freeway driving, more trips farther than 15 mi from home, and lower odds of avoiding peak driving times. The moderating influence of hearing on both vision and cognition is also discussed, along with study implications and future research.