Accident Proneness and Illness Proneness: A Review

What influences the association between previous and future crashes among cyclists? A propensity score analysis

BACKGROUND

It is known that experience of a previous crash is related to incidence of future crashes in a cohort of New Zealand cyclists. This paper investigated if the strength of such association differed by crash involvement propensity and by the need for medical care in the previous crash.

METHODS

The Taupo Bicycle Study involved 2590 adult cyclists recruited in 2006 and followed over a median period of 4.6 years through linkage to four national databases. The crash involvement propensity was estimated using propensity scores based on the participants' demographic, cycling and residential characteristics. Cox regression modelling for repeated events was performed with multivariate and propensity score adjustments. Analyses were then stratified by quintiles of the propensity score.

RESULTS

A total of 801 (31.0%) participants reported having experienced at least one bicycle crash in the twelve months prior to the baseline survey. They had a higher risk of experiencing crash events during follow-up (hazard ratio (HR): 1.43; 95% CI: 1.28, 1.60) but in the stratified analysis, this association was significant only in the highest two quintiles of the propensity score where the likelihood of having experienced a crash was more than 33%. The association was stronger for previous crashes that had received medical care (HR 1.63; 95% CI: 1.41, 1.88) compared to those that had not (HR 1.30; 95% CI: 1.14, 1.49).

CONCLUSIONS

Previous crash experience increased the risk of future crash involvement in high-risk cyclists and the association was stronger for previous crashes attended medically. What distinguishes the high risk group warrants closer investigation, and the findings indicate also that health service providers could play an important role in prevention of bicycle crash injuries.

Distribution and characteristics of occupational injuries and diseases among farmers: a retrospective analysis of workers' compensation claims

BACKGROUND

Research indicates occupational injuries and diseases are not evenly distributed among workers. We investigated the distribution and characteristics of compensated occupational injuries and diseases requiring medical care in the Finnish farming population.

METHODS

The study population consisted of 93,564 Finnish farmers, spouses, and salaried family members who were covered by the mandatory workers' compensation insurance in 2002. This population had a total of 133,207 occupational injuries and 9,148 occupational diseases over a 26-year period (1982-2008).

RESULTS

Clustering of claims was observed. Nearly half (47.1%) of the population had no compensated claims while 52.9% had at least one; 50.9% of farmers had one or more injuries and 8.1% had one or more diseases. Ten percent of the population had half of injury cases, and 3% of the population had half of occupational disease cases. Claims frequently involved work tasks related to animal husbandry and repair and maintenance of farm machinery. Injury and disease characteristics (work activity, cause, ICD-10 code) differed between individuals with high and low personal claim rate. Injuries and diseases of the musculoskeletal system had a tendency to reoccur among those with high claim rate. These outcomes were often related to strenuous working motions and postures in labor-intensive animal husbandry.

CONCLUSIONS

Analyses of longitudinal insurance data contributes to better understanding of the long-term risk of occupational injury and disease among farmers. We suggest focusing on recurrent health outcomes and their causes among high risk populations could help design more effective interventions in agriculture and other industries.

Accident occurrence and functional health patterns: a pilot study of relationships in a graduate population

PURPOSE

This pilot study sought to examine the relationship between functional health patterns and accident proneness.

METHODS

A quantitative-descriptive design was employed assessing accident proneness by collecting data on the occurrence of accidents among a sample of university graduates, and examining this in relation to biographical data and information collated using the Functional Health Pattern Assessment Screening Tool (FHPAST). Data were analyzed using descriptive and inferential statistics.

FINDINGS

One FHPAST factor predicted more frequent sports accidents. Age was also shown to be a significant predictor but in a counterintuitive way, with greater age predicting less accident proneness.

CONCLUSION

The FHPAST may have a role to play in accident prediction.

IMPLICATIONS FOR NURSING PRACTICE

Functional health pattern assessment may be useful for predicting accidents.

A continuum of premature death. Meta-analysis of competing mortality in the psychosocially vulnerable

BACKGROUND

Suicide may be an extreme expression of liability to death of any type. If true, suicide risk factors should also increase other mortality, and, given exposure, excess risk should be higher for suicide than for other mortality.

METHODS

Of 304 publications identified in Index Medicus (1966-June 1988) by the string (suicide) and (mortality or death) and (accidental or natural), 24 reported total and cause-specific mortality associated with exposure to 16 established suicide risk factors; reference scanning yielded 122 more. These 146 publications reported on 163 cohorts (total subjects = 1179 126) mortality. Meta-analysis gave random effects standardized mortality ratios (SMR) for natural, accidental and suicidal death, stratified over the 16 risk groups.

RESULTS

Overall, SMR were 8.6 (95% CI : 7.1-10.4) for suicide, 3.4 (95% CI : 2.9-4.0) for accidental and 2.1 (95% CI : 1.9-2.3) for natural death. Compatible with the first hypothesis, in most groups, mortality of any type was raised. Supporting the second hypothesis, excesses increased from lowest for natural death to highest for suicide. This trend was most pronounced following deliberate self-harm, intermediate in substance abusers, and weakest, but present, in bereaved and low social class cohorts and reversed in smokers and epileptic people.

CONCLUSIONS

Many suicide risks apply to any type of premature death, whilst also retaining some specificity for suicide. Primary prevention, targeting such generic risk factors, will not only reduce rates of suicide but also of other types of death. Conversely, when prevention focuses on specific outcomes-such as suicide-only, other types of mortality may increase.