The influence of lunar phases on the occurrence of myocardial infarction: fact or myth? The MONICA/KORA Myocardial Infarction Registry.

AIMS: The potential influence of lunar phases on the occurrence of myocardial infarction is still controversial. The purpose of the present study was to investigate the association of the lunar cycle on the occurrence of fatal and non-fatal myocardial infarction based on a myocardial infarction registry. METHODS AND RESULTS: We studied 15,985 patients consecutively hospitalised with an acute myocardial infarction (AMI) between 1 January 1985 and 31 December 2007 with a known date of symptom onset who were recruited from a population-based myocardial infarction registry. The exact hour of AMI onset was known for 9813 events. Poisson regression analysis was performed to examine the relation between the lunar cycle and the occurrence of AMI. There was no association between new moon, full moon, waning moon and waxing moon and the occurrence of AMI. However, we observed that the three days after a new moon may be significantly protective for the occurrence of AMI, rate ratio (RR) 0.94 (95% CI 0.91-0.98), and the day before a new moon had a slightly negative effect (RR 1.06, 95% CI 1.00-1.12). Stratified analysis did not reveal any susceptible subgroups. CONCLUSION: The moon phases did not show any apparent association with AMI occurrence. However, there might be a 'cardioprotective' time three days after a new moon.

[Association between the social status of city districts and health risks: multilevel analyses concerning the regional distribution of overweight, hypertension and self-rated health in Augsburg, Germany]. / Zusammenhang zwischen dem sozialen status eines stadtgebietes und den gesundheitlichen risiken seiner bewohner: ergebnisse einer mehrebenenanalyse zu übergewicht, hypertonie und gesundheitszustand am beispiel Augsburg.

INTRODUCTION: In empirical studies it has repeatedly been shown that the socioeconomic status (SES) of a region could infl uence the health status of its inhabitants, even if measures of individual SES are controlled for. This research has just started in Germany, but most studies focus on large geographical areas such as rural districts. Taking the example of districts in the city of Augsburg, the analyses focus on the question if these associations can also be found in a small-scale regional comparison. METHODS: We included 1 888 participants of the KORA S4 Survey aged 25-74 years. The city districts were grouped according to the unemployment rate (low, medium, high). The dependent variables were self-rated health and 3 risk factors (obesity, high waist-hip ratio, hypertension). Additional individual variables included are age, sex, educational level and unemployment. The analyses were based on multilevel logistic regressions. RESULTS: After adjustment for individual level variables (age, sex, education, unemployment), the analyses show a signifi cantly increased risk of 'high waist-hip ratio' in the regions with the highest unemployment rate (OR 1.53; 95 % conf. interval 1.03-2.26). A similar association was found for obesity. No signifi cant association was observed between unemployment rate on the one hand and hypertension and self-rated health on the other. CONCLUSION: Some health risks seem to be especially high in city districts characterised by a high unemployment rate. It can be concluded that interventions aimed at reducing these risks should focus on districts with high unemployment rates. Further studies are needed for an understanding of the causes behind the social and regional inequalities shown here.

Traffic particles and occurrence of acute myocardial infarction: a case-control analysis.

OBJECTIVES: We modelled exposure to traffic particles using a latent variable approach and investigated whether long-term exposure to traffic particles is associated with an increase in the occurrence of acute myocardial infarction (AMI) using data from a population-based coronary disease registry. METHODS: Cases of individually validated AMI were identified between 1995 and 2003 as part of the Worcester Heart Attack Study. Population controls were selected from Massachusetts, USA, resident lists. NO(2) and PM(2.5) filter absorbance were measured at 36 locations throughout the study area. The air pollution data were used to estimate exposure to traffic particles using a semiparametric latent variable regression model. Conditional logistic models were used to estimate the association between exposure to traffic particles and occurrence of AMI. RESULTS: Modelled exposure to traffic particles was highest near the city of Worcester. Cases of AMI were more exposed to traffic and traffic particles compared to controls. An interquartile range increase in modelled traffic particles was associated with a 10% (95% CI 4% to 16%) increase in the odds of AMI. Accounting for spatial dependence at the census tract, but not block group, scale substantially attenuated this association. CONCLUSIONS: These results provide some support for an association between long-term exposure to traffic particles and risk of AMI. The results were sensitive to the scale selected for the analysis of spatial dependence, an issue that requires further investigation. The latent variable model captured variation in exposure, although on a relatively large spatial scale.

Associations of traffic related air pollutants with hospitalisation for first acute myocardial infarction: the HEAPSS study.

BACKGROUND: Acute myocardial infarction (AMI) is the leading cause of death attributed to cardiovascular diseases. An association between traffic related air pollution and AMI has been suggested, but the evidence is still limited. OBJECTIVES: To evaluate in a multicentre study association between hospitalisation for first AMI and daily levels of traffic related air pollution. METHODS: The authors collected data on first AMI hospitalisations in five European cities. AMI registers were available in Augsburg and Barcelona; hospital discharge registers (HDRs) were used in Helsinki, Rome and Stockholm. NO2, CO, PM10 (particles <10 microm), and O3 were measured at central monitoring sites. Particle number concentration (PNC), a proxy for ultrafine particles (<0.1 microm), was measured for a year in each centre, and then modelled retrospectively for the whole study period. Generalised additive models were used for statistical analyses. Age and 28 day fatality and season were considered as potential effect modifiers in the three HDR centres. RESULTS: Nearly 27,000 cases of first AMI were recorded. There was a suggestion of an association of the same day CO and PNC levels with AMI: RR = 1.005 (95% CI 1.000 to 1.010) per 0.2 mg/m3 and RR = 1.005 (95% CI 0.996 to 1.015) per 10000 particles/cm3, respectively. However, associations were only observed in the three cities with HDR, where power for city-specific analyses was higher. The authors observed in these cities the most consistent associations among fatal cases aged <75 years: RR at 1 day lag for CO = 1.021 (95% CI 1.000 to 1.048) per 0.2 mg/m3, for PNC = 1.058 (95% CI 1.012 to 1.107) per 10000 particles/cm3, and for NO2 = 1.032 (95% CI 0.998 to 1.066) per 8 microg/m3. Effects of air pollution were more pronounced during the warm than the cold season. CONCLUSIONS: The authors found support for the hypothesis that exposure to traffic related air pollution increases the risk of AMI. Most consistent associations were observed among fatal cases aged <75 years and in the warm season.

Increased asthma medication use in association with ambient fine and ultrafine particles.

The association between particulate air pollution and asthma medication use and symptoms was assessed in a panel study of 53 adult asthmatics in Erfurt, Germany in winter 1996/1997. Number concentrations of ultrafine particles, 0.01-0.1 microm in diameter (NC(0.01-0.1), mean 17,300 x cm(-3), and mass concentrations of fine particles 0.01-2.5 microm in diameter (MC(0.01-2.5)), mean 30.3 microg x m(-3), were measured concurrently. They were not highly correlated (r=0.45). The associations between ambient particle concentrations and the prevalence of inhaled beta2-agonist, corticosteroid use and asthma symptoms, were analysed separately with logistic regression models, adjusting for trend, temperature, weekend, holidays, and first order autocorrelation of the error. Cumulative exposures over 14 days of ultrafine and fine particles were associated with corticosteroid use. Beta2-agonist use was associated with 5-day mean NC(0.01-0.1) and MC(0.01-2.5). The prevalence of asthma symptoms was associated with ambient particle concentrations. The results suggest that reported asthma medication use and symptoms increase in association with particulate air pollution and gaseous pollutants such as nitrogen dioxide.