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1.
J Gerontol A Biol Sci Med Sci ; 78(9): 1669-1676, 2023 08 27.
Article in English | MEDLINE | ID: mdl-36801938

ABSTRACT

BACKGROUND: Falls occur annually in 25% of adults aged ≥65 years. Fall-related injuries are increasing, highlighting the need to identify modifiable risk factors. METHODS: Role of fatigability on prospective, recurrent, and injurious fall risk was examined in 1 740 men aged 77-101 years in the Osteoporotic Fractures in Men Study. The 10-item Pittsburgh Fatigability Scale measured perceived physical and mental fatigability (0-50/subscale) at Year 14 (2014-16); established cut-points identified men with more severe perceived physical (≥15, 55.7%), more severe mental (≥13, 23.7%) fatigability, or having both (22.8%). Prospective, recurrent (≥2), and injurious falls were captured by triannual questionnaires ≥1 year after fatigability assessment; risk of any fall was estimated with Poisson generalized estimating equations, and likelihood of recurrent/injurious falls with logistic regression. Models adjusted for age, health conditions, and other confounders. RESULTS: Men with more severe physical fatigability had a 20% (p = .03) increased fall risk compared with men with less physical fatigability, with increased odds of recurrent and injurious falls, 37% (p = .04) and 35% (p = .035), respectively. Men with both more severe physical and mental fatigability had a 24% increased risk of a prospective fall (p = .026), and 44% (p = .045) increased odds of recurrent falling compared with men with less severe physical and mental fatigability. Mental fatigability alone was not associated with fall risk. Additional adjustment for previous fall history attenuated associations. CONCLUSIONS: More severe fatigability may be an early indicator to identify men at high risk for falls. Our findings warrant replication in women, as they have higher rates of fatigability and prospective falls.


Subject(s)
Fractures, Bone , Male , Humans , Female , Aged , Prospective Studies , Risk Factors , Physical Examination , Fatigue/epidemiology
3.
Article in English | MEDLINE | ID: mdl-27909391

ABSTRACT

Driver distraction is implicated in a significant portion of motor vehicle collisions; evidence has suggested that billboards can contribute to such distraction, but many knowledge gaps remain. The purpose of this study was to evaluate the effects of various types of billboards (static, 250-foot digital transition, 500-foot digital transition, and a control [no billboard] condition) and age group (teen, middle, and older) on visual behavior through the use of a driving simulator. To address gaps in the existing literature, the effects of age group and billboard type on the following visual attention variables were considered: percent of time participants looked at billboards, average glance length, number of glances, and glance pattern activity. Significant main effects of age group were found, suggesting that teen drivers exhibited significantly different visual behavior as compared to drivers in the other age groups. An Age Group x Billboard Type interaction for one outcome provided some evidence that percent of time spent looking at billboards significantly increased as billboard transition time increased for drivers, except for older adults, who spent more time looking at static billboards. This study helps lay the groundwork for future studies that may consider how young drivers' differential scanning patterns impact driving safety.

4.
Workplace Health Saf ; 64(8): 369-76, 2016 Aug.
Article in English | MEDLINE | ID: mdl-26809775

ABSTRACT

Reducing distracters detrimental to commercial truck driving is a critical component of improving the safety performance of commercial drivers, and makes the highways safer for all drivers. This study used a driving simulator to examine effects of cell phone, texting, and email distractions as well as self-reported driver optimism bias on the driving performance of commercial truck drivers. Results revealed that more visually demanding tasks were related to poorer driving performance. However, the cell phone task resulted in less off-the-road eye glances. Drivers reporting being "very skilled" displayed poorer driving performance than those reporting being "skilled." Onboard communication devices provide a practical, yet visually and manually demanding, solution for connecting drivers and dispatchers. Trucking company policies should minimize interaction between dispatchers and drivers when the truck is in motion. Training facilities should integrate driving simulators into the instruction of commercial drivers, targeting over-confident drivers.


Subject(s)
Accidents, Traffic/prevention & control , Distracted Driving/prevention & control , Motor Vehicles , Occupational Health , Self Concept , Self Report , Adult , Automobile Driving/education , Cell Phone , Computer Simulation , Distracted Driving/statistics & numerical data , Female , Humans , Male , Middle Aged , Poisson Distribution , Surveys and Questionnaires , Text Messaging , Young Adult
5.
Cent Asian J Glob Health ; 5(1): 261, 2016.
Article in English | MEDLINE | ID: mdl-29138734

ABSTRACT

INTRODUCTION: Despite the significant number of research institutions and rich scientific heritage, published research from Central Asia (Kazakhstan, Uzbekistan, Kyrgyzstan, Tajikistan, and Turkmenistan) is traditionally underrepresented in international scientific literature. The goal of this paper was to analyze publication patterns in Central Asian countries, and to explore the factors that contributed to the publication productivity in Kazakhstan. METHODS: Publication productivity was evaluated using data generated by the SCImago Journal & Country Rank over the period of 1996-2014 for all of the 15 former Soviet Union Republics for all subject categories. Country specific data, including total population, gross domestic product (GDP) per capita, research and development (R&D) expenditure (% of GDP), number of reserchers (per million people), was abstracted from World Bank data. ANOVA and ANCOVA analyses compared the mean number of publications among Central Asian countries. Separate analyses was done for publication patterns in the health sciences. Multiple comparisons were performed using Tukey method. RESULTS: The analysis of publication productivity showed significant discrepancies in the number of published documents among the Central Asian countries. Kazakhstan demonstrated a significant increase in the number of published documents in the period of 1996-2014, mainly in the areas of natural and multidisciplinary sciences. Our analyses also showed that the number of publications are siginicantly associated with GDP and population size. CONCLUSIONS: We identified large gaps in publication productivity among the Central Asian countries. The association between publication rate with GDP and population size indicates there is a need to adjust for these factors when planning research policy.

7.
J Pediatr Nurs ; 30(5): e183-91, 2015.
Article in English | MEDLINE | ID: mdl-26049214

ABSTRACT

OBJECTIVE: This study is among the first to examine the effect of talking on a cell phone or text messaging while driving in teens with and without attention deficit/hyperactivity disorder (ADHD). METHOD: Teens (average age 17years) with a diagnosis of ADHD (N=16) were matched with typically developing controls (N=18). All participants operated a driving simulator while (1) conversing on a cell phone, (2) text messaging, and (3) with no distraction during a baseline condition. Six indicators of driving performance were recorded: (a) time to complete the drive; (b) lane deviations; (c) variability in lane position (i.e., root mean square [RMS]); (d) reaction time; (e) motor vehicle collisions; and, (f) speed fluctuation. RESULTS: Significantly greater variation in lane position occurred in the texting task compared to no task and the cell phone task. While texting, in particular, teens with ADHD took significantly less time to complete the scenario. No significant main effects of group were found. CONCLUSIONS: Generally, those with ADHD did not differ in regard to driving performance, when compared to controls, with the exception of one outcome: time to complete scenario. These findings suggest that distracted driving impairs driving performance of teen drivers, regardless of ADHD status. Texting while driving had the greatest negative impact on driving performance, particularly with regard to variability in lane position (i.e., RMS). This study sheds light on key issues regarding injury prevention, with the intent of providing pediatric care providers with the knowledge to inform teen drivers of risks associated with distracted driving which will ultimately result in reduced rates of motor vehicle crashes and concomitant injuries.


Subject(s)
Accidents, Traffic/statistics & numerical data , Attention Deficit Disorder with Hyperactivity/diagnosis , Distracted Driving/statistics & numerical data , Accidents, Traffic/prevention & control , Adolescent , Case-Control Studies , Cell Phone/statistics & numerical data , Female , Humans , Incidence , Male , Reference Values , Risk Assessment , Task Performance and Analysis , Text Messaging/statistics & numerical data
8.
Future Oncol ; 10(16): 2561-8, 2014 Dec.
Article in English | MEDLINE | ID: mdl-25531045

ABSTRACT

AIM: As the incidence of endometrial cancer (EC) increased considerably since 2007, this study aimed to project the burden of EC to the year 2030. METHODS: Multivariate linear regression was used to project EC incidence by modeling trends in EC incidence from 1990 to 2013, while accounting for temporal changes in obesity, hysterectomy and smoking. RESULTS: The best-fitting model predicting EC rates included a time effect plus effects for hysterectomy (12-year lag), severe obesity (3-year lag) and smoking (9-year lag). The best-fitting model projected an increase to 42.13 EC cases per 100,000 by the year 2030, a 55% increase over 2010 EC rates. CONCLUSION: The projected increase of EC over next 16 years indicates the need for close monitoring of EC trends.


Subject(s)
Endometrial Neoplasms/epidemiology , Obesity/epidemiology , Smoking/epidemiology , Aged , Aged, 80 and over , Endometrial Neoplasms/complications , Endometrial Neoplasms/pathology , Endometrial Neoplasms/surgery , Female , Humans , Hysterectomy/adverse effects , Obesity/complications , Obesity/pathology , Smoking/pathology , United States
9.
J Atten Disord ; 18(6): 496-503, 2014 Aug.
Article in English | MEDLINE | ID: mdl-22544387

ABSTRACT

OBJECTIVE: Adolescents with disruptive behavior disorder, including ADHD, are more likely to engage in risky driving practices and, consequently, are more likely to be involved in a motor vehicle crash (MVC) than their non-ADHD peers. It is unclear whether symptoms of inattention, hyperactivity/impulsivity, or oppositional defiant disorder (ODD) increase risk of poor driving outcomes. METHOD: A total of 41 participants (16-19 years old) reported their ADHD and ODD symptoms and risky driving practices (errors and violations). History of citations and MVCs were acquired from state records. Relative predictive utility of symptom dimensions was assessed using multiple regressions. RESULTS: Inattention solely predicted driving variables of interest: Greater levels of inattention were predictive of more citations, MVCs, and self-reported errors and violations. CONCLUSION: Findings suggest that symptoms of inattention play a primary role in driving-related problems among adolescents. Implications for future research and practice are discussed.


Subject(s)
Attention Deficit and Disruptive Behavior Disorders/psychology , Automobile Driving , Impulsive Behavior/physiology , Accidents, Traffic , Adolescent , Attention Deficit Disorder with Hyperactivity/complications , Attention Deficit Disorder with Hyperactivity/psychology , Attention Deficit and Disruptive Behavior Disorders/complications , Attention Deficit and Disruptive Behavior Disorders/diagnosis , Female , Humans , Male , Mental Disorders , Peer Group , Predictive Value of Tests , Risk , Socioeconomic Factors
10.
Accid Anal Prev ; 61: 63-70, 2013 Dec.
Article in English | MEDLINE | ID: mdl-23465745

ABSTRACT

Studies have documented a link between distracted driving and diminished safety; however, an association between distracted driving and traffic congestion has not been investigated in depth. The present study examined the behavior of teens and young adults operating a driving simulator while engaged in various distractions (i.e., cell phone, texting, and undistracted) and driving conditions (i.e., free flow, stable flow, and oversaturation). Seventy five participants 16-25 years of age (split into 2 groups: novice drivers and young adults) drove a STISIM simulator three times, each time with one of three randomly presented distractions. Each drive was designed to represent daytime scenery on a 4 lane divided roadway and included three equal roadway portions representing Levels of Service (LOS) A, C, and E as defined in the 2000 Highway Capacity Manual. Participants also completed questionnaires documenting demographics and driving history. Both safety and traffic flow related driving outcomes were considered. A Repeated Measures Multivariate Analysis of Variance was employed to analyze continuous outcome variables and a Generalized Estimate Equation (GEE) Poisson model was used to analyze count variables. Results revealed that, in general more lane deviations and crashes occurred during texting. Distraction (in most cases, text messaging) had a significantly negative impact on traffic flow, such that participants exhibited greater fluctuation in speed, changed lanes significantly fewer times, and took longer to complete the scenario. In turn, more simulated vehicles passed the participant drivers while they were texting or talking on a cell phone than while undistracted. The results indicate that distracted driving, particularly texting, may lead to reduced safety and traffic flow, thus having a negative impact on traffic operations. No significant differences were detected between age groups, suggesting that all drivers, regardless of age, may drive in a manner that impacts safety and traffic flow negatively when distracted.


Subject(s)
Accidents, Traffic/statistics & numerical data , Attention , Automobile Driving/statistics & numerical data , Computer Simulation , Psychomotor Performance , Safety , Adolescent , Adult , Automobile Driving/psychology , Cell Phone , Female , Humans , Male , Text Messaging , Young Adult
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