High serum total cholesterol is associated with suicide mortality in Japanese women.

OBJECTIVE: To investigate the association between serum total cholesterol (TC) and suicide using a large general population cohort with long follow-up times. METHOD: Analyses included 16 341 men and 28 905 women aged 40-69 from the Japan Public Health Center-based Prospective Study followed from 1990 to 2012. TC levels were defined per clinical guidelines: low (<4.66 mmol/l [180 mg/dl]), normal (4.66-5.70 mmol/l [180-220 mg/dl]), and high (≥5.70 mmol/l [220 mg/dl]). Cox proportional hazards regression models were used to determine hazard ratios (HR) and confidence intervals (CI) for suicide according to TC level. Mean follow-up time was 19 years for men and 20 years for women. RESULTS: There were 185 suicides (men: 107; women: 78) during follow-up. Compared to women with normal TC, women with high TC had a significantly increased risk of suicide (HR = 1.90, 95% CI, 1.13-3.19). Incremental increases (0.26 mmol/l [10 mg/dl]) of low-density lipoprotein (HR = 1.11, 95% CI, 1.02-1.21) and non-high-density lipoprotein cholesterol (HR = 1.09, 95% CI, 1.01-1.18) were also associated with increased risk of suicide in women. There was no association between TC levels, or lipid fractions, and suicide in men. CONCLUSION: High TC levels may be associated with an increased risk of suicide in women.

Longitudinal effects of disaster-related experiences on mental health among Fukushima nuclear plant workers: The Fukushima NEWS Project Study.

BACKGROUND: The Fukushima Nuclear Energy Workers' Support (NEWS) Project Study previously showed that experiences related to the Fukushima nuclear disaster on 11 March 2011 had a great impact on psychological states, including post-traumatic stress response (PTSR) and general psychological distress (GPD), among the Fukushima nuclear plant workers. To determine the causal relationship between disaster-related experiences and levels of psychological states, we conducted a 3-year longitudinal study from 2011 to 2014. METHOD: PTSR and GPD of the nuclear plant workers were assessed by annual questionnaires conducted from 2011 to 2014. The present study included a total of 1417 workers who provided an assessment at baseline (2011). A total of 4160 observations were used in the present analysis. The relationship between disaster-related experiences and psychological states over time was analysed using mixed-effects logistic regression models. RESULTS: A declining influence of disaster-related experiences on PTSR over time was found. However, the impact on PTSR remained significantly elevated even 3 years after the disaster in several categories of exposure including the experience of life-threatening danger, experiences of discrimination, the witnessing of plant explosion, the death of a colleague and home evacuation. The associations between GPD and disaster-related experiences showed similar effects. CONCLUSIONS: The effects of disaster-related experiences on psychological states among the nuclear plant workers reduced over time, but remained significantly high even 3 years after the event.

Probabilities of dying from cancer and other causes in French cancer patients based on an unbiased estimator of net survival: a study of five common cancers.

BACKGROUND: Net survival is the survival that would be observed if cancer were the only possible cause of death. Although it is an important epidemiological tool allowing temporal or geographical comparisons, it cannot inform on the "crude" probability of death of cancer patients; i.e., when taking into account other possible causes of deaths. METHODS: In this work, we provide estimates of the crude probabilities of death from cancer and from other causes as well as the probability of being alive up to ten years after cancer diagnosis according to the age and year of diagnosis. Based on a flexible excess hazard model providing unbiased estimates of net survival, our methodology avoids the pitfalls associated with the use of the cause of death. We used data from FRANCIM, the French network of cancer registries, and studied five common cancer sites: head and neck, breast, prostate, lung, and colorectal cancers. RESULTS: For breast, prostate, and colorectal cancers, the impact of the other causes on the total probability of death increased with the age at diagnosis whereas it remained negligible for lung and head and neck cancers whatever the age. For breast, prostate, and colorectal cancer, the more recently was the cancer diagnosed, the less was the probability of death from cancer. CONCLUSION: The crude probability of death is an intuitive concept that may prove particularly useful in choosing an appropriate treatment, or refining the indication of a screening strategy by allowing the clinician to estimate the proportion of cancer patients who will die specifically from cancer.

Detecting related cases of bloodstream infections using time-interval distribution modelling.

An algorithm was designed to highlight related bloodstream infections using data from a nosocomial infection surveillance system to help local public health authorities direct specific measures towards clusters of cases. The approach was based on a two-step procedure. The first was a test to identify pathogens with an abnormal number of close cases. The second modelled, for the identified pathogens, the distribution of time intervals between successive cases as a mixture of two theoretical distributions in order to determine a threshold below which a specific investigation is required. The algorithm was applied to bloodstream infection surveillance data collected during a 10-year period (1996-2005) in an 878-bed teaching hospital (24 wards) in Lyon, France. The first step identified seven pathogens among the 18 being studied. The modelling succeeded in setting time thresholds to spot clusters of cases requiring further investigation with defined sensitivity and specificity. Setting the sensitivity level at 95%, the threshold values ranged from 24 days (Acinetobacter baumannii) to 294 days (Enterobacter cloacae); the specificity was higher than 70% (up to 97.5% for A. baumannii) except for E. cloacae (52.1%). Setting the specificity level at 95% resulted in a decrease in sensitivity except for A. baumannii (it reached nearly 100%); it fell below 50% for three pathogens: around 40% for Streptococcus pneumoniae and Enterococcus faecalis and 25% for Enterobacter cloacae. The threshold values then ranged from 8 days (S. pneumoniae) to 67 days (Streptococcus pyogenes). The approach proved promising though further refinements are needed before routine use.