A Systematic Review and Meta-Regression Analysis of Lung Cancer Risk and Inorganic Arsenic in Drinking Water.

High levels (\u3e 200 µg/L) of inorganic arsenic in drinking water are known to be a cause of human lung cancer, but the evidence at lower levels is uncertain. We have sought the epidemiological studies that have examined the dose-response relationship between arsenic levels in drinking water and the risk of lung cancer over a range that includes both high and low levels of arsenic. Regression analysis, based on six studies identified from an electronic search, examined the relationship between the log of the relative risk and the log of the arsenic exposure over a range of 1-1000 µg/L. The best-fitting continuous meta-regression model was sought and found to be a no-constant linear-quadratic analysis where both the risk and the exposure had been logarithmically transformed. This yielded both a statistically significant positive coefficient for the quadratic term and a statistically significant negative coefficient for the linear term. Sub-analyses by study design yielded results that were similar for both ecological studies and non-ecological studies. Statistically significant X-intercepts consistently found no increased level of risk at approximately 100-150 µg/L arsenic

Small-for-Gestational Age Prevalence Risk Factors in Central Appalachian States with Mountain-top Mining.

OBJECTIVES: To identify risk factors for small-for-gestational age (SGA) for counties in central Appalachian states (Kentucky (KY), Tennessee (TN), Virginia (VA), and West Virginia (WV)) with varied coal mining activities. MATERIAL AND METHODS: Live birth certificate files (1990-2002) were used for obtaining SGA prevalence rates for mothers based on the coal mining activities of their counties of residence, mountain-top mining (MTM) activities, underground mining activities but no mountain-top mining activity (non-MTM), or having no mining activities (non-mining). Co-variable information, including maternal tobacco use, was also obtained from the live birth certificate. Adjusted odds ratios were obtained using multivariable logistic regression comparing SGA prevalence rates for counties with coal mining activities to those without coal mining activities and comparing SGA prevalence rates for counties with coal mining activities for those with and without mountain-top mining activities. Comparisons were also made among those who had reported tobacco use and those who had not. RESULTS: Both tobacco use prevalence and SGA prevalence were significantly greater for mining counties than for non-mining counties and for MTM counties than for non-MTM counties. Adjustment for tobacco use alone explained 50% of the increased SGA risk for mining counties and 75% of the risk for MTM counties, including demographic pre-natal care co-variables that explained 75% of the increased SGA risk for mining counties and 100% of the risk for MTM. The increased risk of SGA was limited to the third trimester births among tobacco users and independent of the mining activities of their counties of residence. CONCLUSIONS: This study demonstrates that the increased prevalence of SGA among residents of counties with mining activity was primarily explained by the differences in maternal tobacco use prevalence, an effect that itself was gestational-age dependent. Self-reported tobacco use marked the population at the increased risk for SGA in central Appalachian states. Int J Occup Med Environ Health 2018;31(1):11-23

Arsenic in Drinking Water and Lung Cancer Mortality in the United States: An Analysis Based on US Counties and 30 Years of Observation (1950-1979).

Background. To examine whether the US EPA (2010) lung cancer risk estimate derived from the high arsenic exposures (10-934 µg/L) in southwest Taiwan accurately predicts the US experience from low arsenic exposures (3-59 µg/L). Methods. Analyses have been limited to US counties solely dependent on underground sources for their drinking water supply with median arsenic levels of ≥3 µg/L. Results. Cancer risks (slopes) were found to be indistinguishable from zero for males and females. The addition of arsenic level did not significantly increase the explanatory power of the models. Stratified, or categorical, analysis yielded relative risks that hover about 1.00. The unit risk estimates were nonpositive and not significantly different from zero, and the maximum (95% UCL) unit risk estimates for lung cancer were lower than those in US EPA (2010). Conclusions. These data do not demonstrate an increased risk of lung cancer associated with median drinking water arsenic levels in the range of 3-59 µg/L. The upper-bound estimates of the risks are lower than the risks predicted from the SW Taiwan data and do not support those predictions. These results are consistent with a recent metaregression that indicated no increased lung cancer risk for arsenic exposures below 100-150 µg/L

Arsenic in Drinking Water and Lung Cancer Mortality in the United States: An Analysis Based on US Counties and 30 Years of Observation (1950–1979)

Background. To examine whether the US EPA (2010) lung cancer risk estimate derived from the high arsenic exposures (10–934 µg/L) in southwest Taiwan accurately predicts the US experience from low arsenic exposures (3–59 µg/L). Methods. Analyses have been limited to US counties solely dependent on underground sources for their drinking water supply with median arsenic levels of ≥3 µg/L. Results. Cancer risks (slopes) were found to be indistinguishable from zero for males and females. The addition of arsenic level did not significantly increase the explanatory power of the models. Stratified, or categorical, analysis yielded relative risks that hover about 1.00. The unit risk estimates were nonpositive and not significantly different from zero, and the maximum (95% UCL) unit risk estimates for lung cancer were lower than those in US EPA (2010). Conclusions. These data do not demonstrate an increased risk of lung cancer associated with median drinking water arsenic levels in the range of 3–59 µg/L. The upper-bound estimates of the risks are lower than the risks predicted from the SW Taiwan data and do not support those predictions. These results are consistent with a recent metaregression that indicated no increased lung cancer risk for arsenic exposures below 100–150 µg/L

The Relationship between the Family Physician and Psychosomatic Medicine

Background: Organizing the health system around family medicine (FM) has been a productive approach for developed countries. The aim of this study, which was concurrent with the Iran Health Transform Plan (HTP) and the establishment of the family physician in Iran, was to discuss the sufficiency of a family physician training program for their roles and increase their competency.Methods: This descriptive study was conducted in the Psychosomatic Research Center affiliated to Isfahan University of Medical Science, Iran, with the assistance of the Iranian Institute of Higher Health (2015). An expert panel consisting of 6 individuals including specialists, trainers, and researchers in FM and psychosomatic medicine was held for this purpose. Using the World Organization of Family Doctors‎ (WONCA) website for the definition of a family physician, the curriculum developed by the Ministry of Health and Medical Education was studied. Data were summarized in one table.Results: The current FM curriculum, with this content and method, does not seem to be capable of enabling physicians to perform their multidisciplinary roles. it still has a reductionist approach and disease orientation instead of a clinical reasoning method and systematic viewpoint. The psychosomatic approach is applicable at all prevention levels and in all diseases‎, since it is basically designed for this longitudinal (between all preventive levels) and horizontal (bio-physical–social-spiritual intervention) integration.Conclusion: Psychosomatic medicine, not as a biomedical specialty, but rather as a systems thinking model in health, had a rapid rise during previous decades. Now, its services have been integrated into all medical fields. This means that it should be adopted in the core of health care services (i.e., the family physician position) before other sections. This would help the implementation of this approach in the health system, and the reduction of patients' pain and uncertainty and improvement of their health. Thus, psychosomatic approaches for family physicians only emphasize on some of their fundamental acts.</div

Sharing Economy: teilen und teilhaben : Nachbarschaftshilfe für Jung und Alt

While epidemiologic studies clearly demonstrate drinking water with high levels of arsenic as a significant risk factor for lung cancer, the evidence at low levels (&le;50 &mu;g/L) is uncertain. Therefore, we have conducted an ecological analysis of recent lung cancer incidence for US counties with a groundwater supply of &lt;50 &mu;g/L, the historical limit for both the EPA and WHO. Data sources used included USGS for arsenic exposure, NCI for lung cancer outcome, and CDC and US Census Bureau forcovariates. Poisson log-linear models were conducted for male, female, and total populations using for exposure median county arsenic level, maximum arsenic level &le;50 &mu;g/L, and &ge;80% population groundwater dependency. Statistically significant negative associations were found in each of the six models in which the exposure was limited to those who had major exposure (&ge;80% dependency) to low-levels of arsenic (&le;50 &mu;g/L). This is the first large ecological study of lung cancer risk from drinking water arsenic levels that specifically examined the dose-response slope for populations whose exposure was below the historical limit of &le;50 &mu;g/L. The models for each of the three populations (total; male; female) demonstrated an association that is both negative and statistically significant

Prostate Cancer Incidence in U.S. Counties and Low Levels of Arsenic in Drinking Water.

Background: Although inorganic arsenic in drinking water at high levels (100s&ndash;1000s &mu;g/L [ppb]) increases cancer risk (skin, bladder, lung, and possibly prostate), the evidence at lower levels is limited. Methods: We conducted an ecologic analysis of the dose-response relationship between prostate cancer incidence and low arsenic levels in drinking water in a large study of U.S. counties (N = 710). County arsenic levels were &lt;200 ug/L with median &lt;100 ug/L and dependency greater than 10%. Groundwater well usage, water arsenic levels, prostate cancer incidence rates (2009&ndash;2013), and co-variate data were obtained from various U.S. governmental agencies. Poisson and negative-binomial regression analyses and stratified analysis were performed. Results: The best fitting polynomial analysis yielded a J-shaped linear-quadratic model. Linear and quadratic terms were significant (p &lt; 0.001) in the Poisson model, and the quadratic term was significant (p &lt; 0.05) in the negative binomial model. This model indicated a decreasing risk of prostate cancer with increasing arsenic level in the low range and increasing risk above. Conclusions: This study of prostate cancer incidence in US counties with low levels of arsenic in their well-water arsenic levels finds a j-shaped model with decreasing risk at very low levels and increasing risk at higher levels

Pain interference and health-related quality of life in caregivers of service members and veterans with traumatic brain injury and mental health comorbidity

PURPOSE: To examine (1) the relationship between caregiver pain interference with caregiver health-related quality of life (HRQOL), caregiver age, and service member/veteran (SMV) functional ability, and (2) change in caregiver pain interference longitudinally over 5 years. METHOD: Participants were 347 caregivers of SMVs diagnosed with traumatic brain injury (TBI). Caregivers completed the SF-12v2 Health Survey Bodily Pain scale at an initial baseline evaluation and up to four annual follow-up evaluations. Caregivers were divided into three pain interference groups: High Pain Interference (n = 104), Neutral Pain Interference (n = 117), and Low Pain Interference (n = 126). Caregivers also completed 15 HRQOL measures and a measure of SMV functional ability. RESULTS: The High Pain Interference group reported more clinically elevated scores on 13 measures compared to the Low Pain Interference group, and seven measures compared to the Neutral Pain Interference group. The Neutral Pain Interference group had more clinically elevated scores on three measures compared to the Low Pain Interference group. The High and Neutral Pain Interference groups were older than the Low Pain Interference group. Parent caregivers were older than intimate partner/sibling caregivers, but did not report worse pain interference. Caregiver age, and measures of Fatigue, Strain, Perceived Rejection, and Economic QOL were the strongest predictors of pain interference (p \u3c .001), accounting for 28.2% of the variance. There was minimal change in Bodily Pain scores over five years. The interaction of time and age was not significant (X = 2.7, p = .61). CONCLUSION: It is important to examine pain in the context of HRQOL in caregivers, regardless of age