Planning for a Nondriving Future: Behaviors and Beliefs Among Middle-Aged and Older Drivers.
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ABSTRACT:
SUBMITTER: Harmon AC
PROVIDER: S-EPMC5914519 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Examine the associations of depression and self-esteem on self-care activities and care received among Mexicans with diabetes.Using data from the Mexican Nutrition and Health Survey 2012, logistic regression models were fit to test the associations between each self-care activity and diabetes care, and self-esteem and depression.People with low self-esteem were less likely to follow a diet, but no other associations were found. Contrary to what was expected, there were no relationships between depression and quality of care received or self-care behaviors.Current findings support the importance of looking at mental health and emotional state among older adults with diabetes. Future studies should explore the relationship between different psychological barriers to proper diabetes management.
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Project description:Living arrangements are important to the elderly. However, it is common for elderly parents in urban China to not have a living situation that they consider ideal. An understanding of their preferences assists us in responding to the needs of the elderly as well as in anticipating future long-term care demands. The aim of this study is to provide a clear understanding of preferences for future living arrangements and their associated factors among middle-aged and older people in urban China.Data were extracted from the CHARLS 2011-2012 national baseline survey of middle-aged and elderly people. In the 2011 wave of the CHARLS, a total of 17,708 individual participants (10,069 main respondents and 7,638 spouses) were interviewed; 2509 of the main respondents lived in urban areas. In this group, 41 people who were younger than 45 years old and 162 who had missing data in the variable "living arrangement preference" were excluded. Additionally, 42 people were excluded because they chose "other" for the variable "living arrangement preference" (which was a choice with no specific answer). Finally, a total of 2264 participants were included in our study.The most popular preference for future living arrangements was living close to their children in the same community/neighborhoods, followed by living with adult children. The degree of community handicapped access, number of surviving children, age, marital status, access to community-based elderly care centers and number of years lived in the same community were significantly associated with the preferences for future living arrangements among the respondents.There is a trend towards preference for living near adult children in urban China. Additionally, age has a positive effect on preference for living close to their children. Considerations should be made in housing design and urban community development plans to fulfill older adults' expectations. In addition, increasing the accessibility of public facilities in the residential area was important to the elderly, especially for those who preferred living in proximity to their children rather than co-residing with their children. We found that more surviving children were associated with a lower likelihood of choosing "institutionalization", and it positively contributed to preference for intergenerational living arrangements in our study. As expected, compared with their married counterparts, people who were separated/divorced/widowed preferred living with adult children rather than living independently. A relatively shorter length of residence in the same community was an important indicator of preference for independent living; this finding might require further research.
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Project description:ObjectiveTo examine whether demographic, dementia-related, and control-related variables predict preparation for future care needs (PFCN) in a sample of middle-aged and older adults. PFCN is defined in this study as a self-perceived sense of preparedness for one's own future care needs, including general awareness of future care needs, gathering relevant information, decision-making about care preferences, concrete planning, and non-avoidance of care planning.MethodsParticipants (N = 122; age 40 to 88 years: M = 65.83, SD = 9.80) completed self-report measures in an in-person study. Hierarchical multiple regression was calculated to predict PFCN.ResultsBeing female, having more positive dementia attitudes, higher attribution to powerful others for health condition(s), and more completed end-of-life (EOL) planning significantly predicted greater PFCN.ConclusionFindings indicate a positive relationship between objective (completed EOL planning items) and subjective (PFCN) components of planning, thus highlighting the importance of taking concrete steps in EOL planning to yield greater feelings of preparedness, which has been associated with positive psychological outcomes.
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Project description:BackgroundChronic health conditions account for the largest proportion of illness-related mortality and morbidity as well as most of healthcare spending in the USA. Control beliefs may be important for outcomes in individuals with chronic illness.ObjectiveTo determine whether control beliefs are associated with the risk for death, incident stroke and incident myocardial infarction (MI), particularly for individuals with diabetes mellitus (DM) and/or hypertension.DesignRetrospective cohort study.ParticipantsA total of 5,662 respondents to the Health and Retirement Study with baseline health, demographic and psychological data in 2006, with no history of previous stroke or MI.Main measuresPerceived global control, measured as two dimensions--"constraints" and "mastery"--and health-specific control were self-reported. Event-free survival was measured in years, where "event" was the composite of death, incident stroke and MI. Year of stroke or MI was self-reported; year of death was obtained from respondents' family.Key resultsMean baseline age was 66.2 years; 994 (16.7%) had DM and 3,023 (53.4%) hypertension. Overall, 173 (3.1%) suffered incident strokes, 129 (2.3%) had incident MI, and 465 (8.2%) died. There were no significant interactions between control beliefs and baseline DM or hypertension in predicting event-free survival. Elevated adjusted hazard ratios (HRs) were associated with DM (1.33, 95 % CI 1.07-1.67), hypertension (1.31, 95% CI 1.07-1.61) and perceived constraints in the third (1.55, 95% CI 1.12-2.15) and fourth quartiles (1.61, 95% CI 1.14-2.26). Health-specific control scores in the third (HR 0.78, 95% CI 0.59-1.03) and fourth quartiles (HR 0.70, 95% CI 0.53-0.92) were protective, but only the latter category had a statistically significant decreased risk. Combined high perceived constraints and low health-specific control had the highest risk (HR 1.93, 95% CI 1.41-2.64).ConclusionsControl beliefs were not associated with differential risk for those with DM and/or hypertension, but they predicted significant differences in event-free survival for the general cohort.
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Project description:The data presented in this article are related to the research article entitled "A longitudinal investigation of the predictors of older drivers׳ speeding behavior" (Chevalier et al., 2016) [1], wherein these speed events were used to investigate older drivers speeding behavior and the influence of cognition, vision, functional decline, and self-reported citations and crashes on speeding behavior over a year of driving. Naturalistic speeding behavior data were collected for up to 52 weeks from volunteer drivers aged 75-94 years (median 80 years, 52% male) living in the suburban outskirts of Sydney. Driving data were collected using an in-vehicle monitoring device. Global Positioning System (GPS) data were recorded at each second and determined driving speed through triangulation of satellite collected location data. Driving speed data were linked with mapped speed zone data based on a service-provider database. To measure speeding behavior, speed events were defined as driving 1 km/h or more, with a 3% tolerance, above a single speed limit, averaged over 30 s. The data contains a row per 124,374 speed events. This article contains information about data processing and quality control.
| S-EPMC4889889 | biostudies-literature
Project description:Multiple health behaviors could have greater impact on chronic diseases than single behaviors, but correlates of behavioral clusters are relatively understudied. Using data from NIH-AARP Diet and Health Study (initiated in 1995) for 324,522 participants from the U.S. (age 50-71), we conducted exploratory factor analysis to identify clusters of adherence to eight cancer prevention behaviors. Poisson regressions examined associations between cluster scores and neighborhood socioeconomic deprivation, measured with census block group (1) poverty and (2) low education. Four clusters emerged: Movement (adequate physical activity/less TV); Abstinence (never smoked/less alcohol); Weight control (healthy body mass index/high fruits and vegetables); and Other (adequate sleep/receiving cancer screenings). Scores on all clusters were lower for participants in neighborhoods with the highest poverty (most deprived quintile versus least deprived: relative risk [RR] = 0.95 (95% confidence interval [CI] = 0.94-0.96) for Movement, 0.98 (95% CI = 0.97-0.99) for Abstinence, 0.94 (95% CI = 0.92-0.95) for Weight control, and 0.94 (95% CI = 0.93-0.95) for Other; all p < 0.001). Scores on three clusters were lower for participants in neighborhoods with the lowest education (RR = 0.88 (95% CI = 0.87-0.89) for Movement, 0.89 (95% CI = 0.88-0.90) for Weight control, and 0.90 (95% CI = 0.89-0.91) for Other; all p < .001). Health behaviors among older adults demonstrated four clusters. Neighborhood deprivation was associated with lower scores on clusters, suggesting that interventions to reduce concentrated deprivation may be an efficient approach for improving multiple behaviors simultaneously.
| S-EPMC8477751 | biostudies-literature
Project description:The data presented in this article are related to the research manuscript "Predictors of older drivers' involvement in rapid deceleration events", which investigates potential predictors of older drivers' involvement in rapid deceleration events including measures of vision, cognitive function and driving confidence (A. Chevalier et al., 2016) [1]. In naturalistic driving studies such as this, when sample size is not large enough to allow crashes to be used to investigate driver safety, rapid deceleration events may be used as a surrogate safety measure. Naturalistic driving data were collected for up to 52 weeks from 182 volunteer drivers aged 75-94 years (median 80 years, 52% male) living in the suburban outskirts of Sydney. Driving data were collected using an in-vehicle monitoring device. Accelerometer data were recorded 32 times per second and Global Positioning System (GPS) data each second. To measure rapid deceleration behavior, rapid deceleration events (RDEs) were defined as having at least one data point at or above the deceleration threshold of 750 milli-g (7.35 m/s2). All events were constrained to a maximum 5 s duration. The dataset provided with this article contains 473 events, with a row per RDE. This article also contains information about data processing, treatment and quality control. The methods and data presented here may assist with planning and analysis of future studies into rapid deceleration behaviour using in-vehicle monitoring.
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Project description:This study was designed to evaluate whether changes in lifestyle behaviors are correlated with the incidence of chronic kidney disease (CKD).The subjects consisted of 316 men without a history of cardiovascular disease, stroke, or renal dysfunction or dialysis treatment. The following lifestyle behaviors were evaluated using a standardized self-administered questionnaire: habitual moderate exercise, daily physical activity, walking speed, eating speed, late-night dinner, bedtime snacking, skipping breakfast, and drinking and smoking habits. The subjects were divided into four categories according to the change in each lifestyle behavior from baseline to the end of follow-up (healthy-healthy, unhealthy-healthy, healthy-unhealthy and unhealthy-unhealthy).A multivariate analysis showed that, with respect to habitual moderate exercise and late-night dinner, maintaining an unhealthy lifestyle resulted in a significantly higher odds ratio (OR) for the incidence of CKD than maintaining a lifestyle (OR 8.94; 95% confidence interval [CI], 1.10-15.40 for habitual moderate exercise and OR 4.00; 95% CI, 1.38-11.57 for late-night dinner). In addition, with respect to bedtime snacking, the change from a healthy to an unhealthy lifestyle and maintaining an unhealthy lifestyle resulted in significantly higher OR for incidence of CKD than maintaining a healthy lifestyle (OR 4.44; 95% CI, 1.05-13.93 for healthy-unhealthy group and OR 11.02; 95% CI, 2.83-26.69 for unhealthy-unhealthy group).The results of the present study suggest that the lack of habitual moderate exercise, late-night dinner, and bedtime snacking may increase the risk of CKD.
| S-EPMC5549247 | biostudies-other
Project description:BackgroundMachine learning (ML) models can be used to predict future frailty in the community setting. However, outcome variables for epidemiologic data sets such as frailty usually have an imbalance between categories, that is, there are far fewer individuals classified as frail than as nonfrail, adversely affecting the performance of ML models when predicting the syndrome.MethodsA retrospective cohort study with participants (50 years or older) from the English Longitudinal Study of Ageing who were nonfrail at baseline (2008-2009) and reassessed for the frailty phenotype at 4-year follow-up (2012-2013). Social, clinical, and psychosocial baseline predictors were selected to predict frailty at follow-up in ML models (Logistic Regression, Random Forest [RF], Support Vector Machine, Neural Network, K-nearest neighbor, and Naive Bayes classifier).ResultsOf all the 4 378 nonfrail participants at baseline, 347 became frail at follow-up. The proposed combined oversampling and undersampling method to adjust imbalanced data improved the performance of the models, and RF had the best performance, with areas under the receiver-operating characteristic curve and the precision-recall curve of 0.92 and 0.97, respectively, specificity of 0.83, sensitivity of 0.88, and balanced accuracy of 85.5% for balanced data. Age, chair-rise test, household wealth, balance problems, and self-rated health were the most important frailty predictors in most of the models trained with balanced data.ConclusionsML proved useful in identifying individuals who became frail over time, and this result was made possible by balancing the data set. This study highlighted factors that may be useful in the early detection of frailty.
| S-EPMC10613015 | biostudies-literature
Project description:AimThis study was retrospectively designed to evaluate the influence of healthy lifestyle behaviors on the incidence of chronic kidney disease (CKD) during a 5-year follow-up period in middle-aged and older males.MethodsThe subjects included 252 males without a history of cardiovascular disease, stroke, renal dysfunction and/or dialysis treatment who were not taking any medications. Their lifestyle behaviors were evaluated using a standardized self-administered questionnaire and defined as follows: (1) habitual moderate exercise, (2) daily physical activity, (3) fast walking speed, (4) slow eating speed, (5) no late-night dinner, (6) no bedtime snacking and (7) no skipping breakfast. The participants were divided into four categories, which were classified into quartile distributions according to the number of healthy lifestyle behaviors (7-6, 5, 4 and ?3 groups).ResultsAfter 5 years, the incidence of CKD [estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m(2) and/or proteinuria] was observed in 23 subjects (9.1%). The Kaplan-Meier survival curves showed that the cumulative incidence of CKD significantly decreased according to an increase in the number of healthy lifestyle behaviors (log-rank test: p = 0.003). According to a multivariate analysis, habitual moderate exercise [hazard ratio (HR) 0.20, 95% confidence of interval (CI) 0.06-0.69, p = 0.011] and no bedtime snacking (HR 0.19, 95 % CI 0.08-0.48, p = 0.004) were significantly associated with the incidence of CKD.ConclusionsThese results suggest that the accumulation of healthy lifestyle behaviors, especially those related to habitual moderate exercise and no bedtime snacking, is considered to be important to reduce the risk of CKD.
| S-EPMC4823222 | biostudies-literature