The Impact of Stressful Life Events on Excessive Alcohol Consumption in the French Population: Findings from the GAZEL Cohort Study

Background: Major life changes may play a causative role in health through lifestyle factors, such as alcohol. The objective was to examine the impact of stressful life events on heavy alcohol consumption among French adults. Methods: Trajectories of excessive alcohol consumption in 20,625 employees of the French national gas and electricity company for up to 5 years before and 5 years after an event, with annual measurements from 1992. We used repeated measures analysis of time series data indexed to events, employing generalized estimating equations. Results: For women, excessive alcohol use increased before important purchase (p = 0.021), children leaving home (p<0.001), and death of loved ones (p = 0.03), and decreased before widowhood (p = 0.015); in the year straddling the event, increased consumption was observed for important purchase (p = 0.018) and retirement (p = 0.002); at the time of the event, consumption decreased for marriage (p = 0.002), divorce, widowhood, and death of loved one (all p<0.001), and increased for retirement (p = 0.035). For men, heavy alcohol consumption increased in the years up to and surrounding the death of loved ones, retirement, and important purchase (all p<0.001), and decreased after (all p<0.001, except death of loved one: p = 0.006); at the time of the event, consumption decreased for all events except for children leaving home and retirement, where we observed an increase (all p<0.001). For women and men, heavy alcohol consumption decreased prior to marriage and divorce and increased after (all p<0.001, except for women and marriage: p = 0.01). Conclusion: Stressful life events promote healthy and unhealthy alcohol consumption. Certain events impact alcohol intake temporarily while others have longer-term implications. Research should disentangle women's and men's distinct perceptions of events over time

Older Adults' Perceptions of Clinical Fall Prevention Programs: A Qualitative Study

Objective. To investigate motivational factors and barriers to participating in fall risk assessment and management programs among diverse, low-income, community-dwelling older adults who had experienced a fall. Methods. Face-to-face interviews with 20 elderly who had accepted and 19 who had not accepted an invitation to an assessment by one of two fall prevention programs. Interviews covered healthy aging, core values, attributions/consequences of the fall, and barriers/benefits of fall prevention strategies and programs. Results. Joiners and nonjoiners of fall prevention programs were similar in their experience of loss associated with aging, core values they expressed, and emotional response to falling. One difference was that those who participated endorsed that they “needed” the program, while those who did not participate expressed a lack of need. Conclusions. Interventions targeted at a high-risk group need to address individual beliefs as well as structural and social factors (transportation issues, social networks) to enhance participation

Older Adults\u27 Perceptions of Clinical Fall Prevention Programs: A Qualitative Study

Objective: To investigate motivational factors and barriers to participating in fall risk assessment and management programs among diverse, low-income, community-dwelling older adults who had experienced a fall. Methods: Face-to-face interviews with 20 elderly who had accepted and 19 who had not accepted an invitation to an assessment by one of two fall prevention programs. Interviews covered healthy aging, core values, attributions/consequences of the fall, and barriers/benefits of fall prevention strategies and programs. Results: Joiners and nonjoiners of fall prevention programs were similar in their experience of loss associated with aging, core values they expressed, and emotional response to falling. One difference was that those who participated endorsed that they “needed” the program, while those who did not participate expressed a lack of need. Conclusions: Interventions targeted at a high-risk group need to address individual beliefs as well as structural and social factors (transportation issues, social networks) to enhance participation

Improving hospital quality risk-adjustment models using interactions identified by hierarchical group lasso regularisation.

BACKGROUND: Risk-adjustment (RA) models are used to account for severity of illness in comparing patient outcomes across hospitals. Researchers specify covariates as main effects, but they often ignore interactions or use stratification to account for effect modification, despite limitations due to rare events and sparse data. Three Agency for Healthcare Research and Quality (AHRQ) hospital-level Quality Indicators currently use stratified models, but their variable performance and limited interpretability motivated the design of better models. METHODS: We analysed patient discharge de-identified data from 14 State Inpatient Databases, AHRQ Healthcare Cost and Utilization Project, California Department of Health Care Access and Information, and New York State Department of Health. We used hierarchical group lasso regularisation (HGLR) to identify first-order interactions in several AHRQ inpatient quality indicators (IQI) - IQI 09 (Pancreatic Resection Mortality Rate), IQI 11 (Abdominal Aortic Aneurysm Repair Mortality Rate), and Patient Safety Indicator 14 (Postoperative Wound Dehiscence Rate). These models were compared with stratum-specific and composite main effects models with covariates selected by least absolute shrinkage and selection operator (LASSO). RESULTS: HGLR identified clinically meaningful interactions for all models. Synergistic IQI 11 interactions, such as between hypertension and respiratory failure, suggest patients who merit special attention in perioperative care. Antagonistic IQI 11 interactions, such as between shock and chronic comorbidities, illustrate that naïve main effects models overestimate risk in key subpopulations. Interactions for PSI 14 suggest key subpopulations for whom the risk of wound dehiscence is similar between open and laparoscopic approaches, whereas laparoscopic approach is safer for other groups. Model performance was similar or superior for composite models with HGLR-selected features, compared to those with LASSO-selected features. CONCLUSIONS: In this application to high-profile, high-stakes risk-adjustment models, HGLR selected interactions that maintained or improved model performance in populations with heterogeneous risk, while identifying clinically important interactions. The HGLR package is scalable to handle a large number of covariates and their interactions and is customisable to use multiple CPU cores to reduce analysis time. The HGLR method will allow scholars to avoid creating stratified models on sparse data, improve model calibration, and reduce bias. Future work involves testing using other combinations of risk factors, such as vital signs and laboratory values. Our study focuses on a real-world problem of considerable importance to hospitals and policy-makers who must use RA models for statutorily mandated public reporting and payment programmes

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Objective. To investigate motivational factors and barriers to participating in fall risk assessment and management programs among diverse, low-income, community-dwelling older adults who had experienced a fall. Methods. Face-to-face interviews with 20 elderly who had accepted and 19 who had not accepted an invitation to an assessment by one of two fall prevention programs. Interviews covered healthy aging, core values, attributions/consequences of the fall, and barriers/benefits of fall prevention strategies and programs. Results. Joiners and nonjoiners of fall prevention programs were similar in their experience of loss associated with aging, core values they expressed, and emotional response to falling. One difference was that those who participated endorsed that they &quot;needed&quot; the program, while those who did not participate expressed a lack of need. Conclusions. Interventions targeted at a high-risk group need to address individual beliefs as well as structural and social factors (transportation issues, social networks) to enhance participation

Thwing magnetometry south of the pond in Chapel Field, 2004, GRD (grid) data

Landscape Research Centre Site 551 processed geophysics image. Georeferencing files are also archived