High Proportion Of People Research Articles

Population with an increased risk of severe COVID-19 in Germany. Analyses from GEDA 2019/2020-EHIS.

Only a minority of people who test positive for COVID-19 develop a severe or critical form of the disease. Many of these have risk factors such as old age or pre-existing conditions and, therefore, are at the focus of protective measures. This article determines the number of people at risk in Germany and differentiates them according to age, sex, education, household type and federal state. The analyses presented here are based on data from the German Health Update (GEDA) 2019/2020-EHIS, which was carried out as a nationwide cross-sectional telephone-based survey between April 2019 and October 2020. The definition of being at increased risk of severe COVID-19 is primarily based on a respondent’s age and the presence of pre-existing conditions. Around 36.5 million people in Germany are at an increased risk of developing severe COVID-19. Of these, 21.6 million belong to the high-risk group. An above-average number of people at risk live alone. The prevalence of an increased risk is higher among middle-aged men than among women of the same age, and significantly higher among people with a low level of education than among people with a high level of education. The highest proportion of people with an increased risk live in Saarland and in the eastern German federal states. When fighting the pandemic, it is important to account for the fact that more than half of the population aged 15 or over is at increased risk of severe illness. Moreover, the regional differences in risk burden should be taken into account when planning interventions.

Post-COVID syndrome: A reflection and opinion paper

RESUMENUn elevado porcentaje de las personas que han padecido COVID refieren, tras la recuperación de la fase aguda de la enfermedad, una serie de manifestaciones clínicas tanto subjetivas como objetivas que se prolongan más allá de 3 semanas e incluso de 3 meses del cuadro clínico original. No existe todavía una nomenclatura consensuada para referirse a este cuadro, pero quizá la más usada es la de síndrome post-COVID. El Comité Científico sobre COVID del Colegio de Médicos de Madrid ha discutido este problema con una aproximación multidisciplinar en la que han participado, internistas, infectólogos, psiquiatras, neumólogos, cirujanos, geriatras, pediatras, microbiólogos, médicos de familia y otros especialistas, tratando de acopiar la información existente y discutiéndola en el grupo.Las manifestaciones clínicas son muy variables y oscilan entre cuadros de simple cansancio y persistencia de lesiones pulmonares fibrosantes con alteraciones objetivas de la función pulmonar. El síndrome post-COVID parece particularmente frecuente y grave en aquellos adultos que han precisado ingreso en Unidades de Cuidados Intensivos y tiene un comportamiento peculiar en un grupo muy reducido de niños.El síndrome post-COVID, de existencia indudable, no es, a primera vista, claramente diferenciable del que se produce tras otras enfermedades víricas agudas y tras estancias prolongadas en UCI por enfermedades de otra naturaleza. Por tanto, ofrece oportunidades excelentes de investigación para clarificar su patogenia y posiblemente la de otras entidades afines.Es posible que progresivamente se produzca una demanda asistencial incrementada entre los millones de personas que han sufrido y superado el COVID agudo para la cuál las autoridades sanitarias debieran diseñar mecanismos de gestión ágil de una asistencia que posiblemente requerirá de grupos multidisciplinares bien coordinados.Este documento, estructurado en preguntas sobre distintos aspectos del síndrome post-COVID, intenta poner en escena el estado actual de este problema.

Polypharmacy among people living with type 2 diabetes mellitus in rural communes in Vietnam.

ObjectivesPeople with diabetes are at high risk of polypharmacy owing to complex treatment of diabetes and comorbidities. Polypharmacy is associated with increased risk of adverse reactions and decreased compliance. Therefore, the objectives of this study were to assess polypharmacy in people with type 2 diabetes (T2D) and associated diabetes-related factors in rural areas in Vietnam.MethodPeople with T2D (n = 806) who had received treatment for diabetes at a district hospital were invited to participate in a questionnaire-based cross-sectional survey. Polypharmacy was defined as ≥5 types of medicine and assessed as a) prescription medicine and non-prescription/over the counter (OTC) medicine and b) prescription medicine and non-prescription/OTC, herbal and traditional medicine, and dietary supplement. Multiple logistic regression was used to investigate the association between polypharmacy and diabetes specific factors: duration, comorbidities and diabetes-related distress.ResultsOf the people with T2D, 7.8% had a medicine use corresponding to polypharmacy (prescription medicine and non-prescription/OTC), and 40.8% when herbal and traditional medicine, and dietary supplement were included. Mean number of medicine intake (all types of medicines and supplements) were 3.8±1.5. The odd ratios (ORs) of polypharmacy (medicine and supplements) increased with diabetes duration (<1–5 years OR = 1.66; 95%CI: 1.09–2.53 and >5 years OR = 1.74; 95%CI: 1.14–2.64 as compared to ≤1-year duration of diabetes), number of comorbidities (1–2 comorbidities: OR = 2.0; 95%CI: 1.18–3.42; ≥3 comorbidities: OR = 2.63;95%CI: 1.50–4.61 as compared to no comorbidities), and suffering from diabetes-related distress (OR = 1.49; 95%CI: 1.11–2.01) as compared to those without distress.ConclusionsIn rural northern Vietnam, persons with longer duration of T2D, higher number of comorbidities and diabetes-related stress have higher odds of having a medicine use corresponding to polypharmacy. A high proportion of people with T2D supplement their prescription, non-prescription/OTC medicine with herbal and traditional medicine and dietary supplements.

Employment and relationship outcomes in first-episode psychosis: A systematic review and meta-analysis of longitudinal studies

As employment and relationship status are important long-term outcomes in individuals with a diagnosis of first episode psychosis (FEP) disorders, there is a need to elucidate more accurately the extent of these social deficits in people with FEP. This in turn can aid treatment planning and policy development ultimately ensuring more complete and sustainable recoveries. We carried out a systematic review and meta-analysis of longitudinal studies in FEP reporting on employment and relationship status during the illness course. Random effects meta-analyses and meta-regression analyses were employed. Seventy-four studies were included with a sample totalling 15,272 (range = 20–1724) FEP cases with an average follow-up duration of 8.3 years (SD = 7.2). 32.5% (95%CI = 28.5–36.9) of people with a diagnosis of FEP disorders were employed and 21.3% (95%CI = 16.5–27.1) were in a relationship at the end of follow-up. Studies from high-income countries and Europe had a higher proportion of people in employment at the end of follow-up compared to middle-income nations and non-European countries. The inverse was found for relationship status. The proportion of people with a diagnosis of FEP in employment decreased significantly with longer follow-up. Living with family, being in a relationship at first contact and Black and White ethnicities were identified as significant moderators of these outcomes. These findings highlight marked functional recovery deficits for people with FEP, although cultural factors need to be considered. They support the need for interventions to improve employment opportunities, and social functioning, both in early psychosis and during the longitudinal illness course.

The new UK SARS-CoV-2 variant and lockdown – causes and consequences

The new variant of concern (VOC), B.1.1.7, has a distinct set of mutations in nucleotides encoding the spike (S) protein on the surface of SARS-CoV-2. SARS-CoV-2 previously accumulated mutations at a much slower rate, of 1-2 per month; the sudden appearance of a large cluster of mutations was thought to be unusual. We now suspect that VOC may have arisen from immunosuppressed individuals who shed virus for longer periods. Epidemiological analyses estimate VOC to be more infectious; this is of most concern because these estimates were calculated during periods where many regions of the UK were in high social distancing restrictions. Therefore, the previous 'tiered' system implemented in the UK was ineffective at containing VOC. The most likely reason for this is that previous restrictions, no matter how strict, still allowed for gatherings in certain places. VOC also has implications for the national vaccination programme - a higher proportion of people will need to be vaccinated with a more infectious virus. Prolongation of the second dose of vaccines to increase vaccine uptake has understandably caused concern, but is based on sound immunological principles. There is now an urgent need to monitor the effect of new variants on vaccine efficacy - marking a new chapter in the global fight against COVID-19.

Preliminary Investigation and Imaging Analysis of Early Lung Cancer Screening Among Petroleum Workers in North China

Background The detection rate of lung nodules has increased significantly among petroleum workers in North China since the low-dose CT (LDCT) screening has been widely carried out. What's more, the number of confirmed early lung cancers is increasing continuously. Therefore, a great deal of concern for the high risk of lung cancer has been shown among petroleum workers. Purpose To improve the screening efficiency and maximize the benefits of the subjects, the current situation of LDCT lung cancer screening should be understood and the imaging characteristics of early lung cancer should be analyzed for petroleum workers in North China. Materials and methods Firstly, the dynamic changes of LDCT early lung cancer screening for petroleum workers in North China were analyzed in recent years. Then, the survey data of 3121 petroleum workers was compared with that of 1868 non-petroleum workers, which was analyzed. Finally, 91 patients (129 nodular lung cancer) confirmed by pathology were retrospectively analyzed, and the data of which was compared with the clinical features obtained from survey data above. The imaging characteristics and related factors of different subtypes of lung adenocarcinoma were discussed and analyzed. Results Lung nodules were found in 810 cases (25.95%) out of 3121 petroleum workers; and the surgery was chosen by 42 patients, 38 of whom were confirmed as lung cancer. Compared with the data of screened petroleum workers, there were more older people and more females as well as a higher proportion of people with family malignancy history, and a lower proportion of smoking people in 91 patients with lung cancer. As the pathological grade of tumor nodules increased, the volume and diameter of nodules gradually increased, and the mean density, maximum density and standard deviation of density also increased (p < 0.001). The volume and diameter of nodules were positively correlated with ages (p < 0.05). Conclusion The occurrence of lung adenocarcinoma is closely related to the family history of malignant tumors, and the constituent ratio of young women without a history of smoking increased significantly. At the same time, the quantitative information obtained by using CT images has important value in predicting its pathological subtypes.

Statistical simulations of infectious diseases in Southwestern Nigeria (A case study of Ekiti and Oyo State)

This study adopts Markov chain to simulate some infectious diseases in two States (Ekiti and Oyo) of southwestern Nigeria, to describe the situations where the outcome of infectious diseases depends only on the outcome of the previous cases of the diseases. The next state of the process depends only on the present state, not on the preceding states. The main objective of this research is to model infectious diseases in Nigeria using Markov chain approach, determine the transition pattern and the fundamental matrix of the diseases, test for Markovian property of the data and how stationary the process is over time and predict the future prevalence of infectious diseases in the states. Transition probability matrix of how patients move from one state (exposed, infected, immune, recovered and dead) of the diseases to another state revealed that the inhabitants of the two States were highly exposed to infectious diseases. The estimated probabilities, p, of being infected with infectious diseases were higher (0≤p≤1) in Ekiti State than Oyo State (0≤p≤1). This indicates that higher proportions of people in Ekiti State were more infected with infectious diseases than those people living in Oyo State. The future transient state and the probability of reaching the absorption state indicate that about 98% of the populations will be exposed to infectious diseases in the future and about 50% of the dwellers will be immunized and as many that are infected will be recovered if necessary precautions are taken. The study advocates for renewed efforts in the area of prevention, environmental sanitation, vaccination and control of infectious diseases instead of spending billions of naira on curtailing the spread of diseases and medical tourism.

Prescribing active transport as a planetary health intervention – benefits, challenges and recommendations

A high proportion of people are insufficiently physically active. The reasons for this are complex and in part relate to social determinants of health, lifestyle choices, and deleterious environmental conditions like climate change, loss of green and outdoor environments and a concomitant loss of biodiversity. Physiotherapists, and other health professionals, may have a positive impact on these global issues, through the encouragement of active transport, and advocacy to reduce barriers to its uptake and optimize exposure to health-giving outdoor spaces. In this paper, we demonstrate how physiotherapists can promote active transport as a planetary health intervention, and provide insight into the benefits and challenges of this planetary health intervention, with direct implications to physiotherapy practice.

Impact of baseline cases of cough and fever on UK COVID-19 diagnostic testing rates: estimates from the Bug Watch community cohort study.

Background: Diagnostic testing forms a major part of the UK's response to the current coronavirus disease 2019 (COVID-19) pandemic with tests offered to anyone with a continuous cough, high temperature or anosmia. Testing capacity must be sufficient during the winter respiratory season when levels of cough and fever are high due to non-COVID-19 causes. This study aims to make predictions about the contribution of baseline cough or fever to future testing demand in the UK. Methods: In this analysis of the Bug Watch community cohort study, we estimated the incidence of cough or fever in England in 2018-2019. We then estimated the COVID-19 diagnostic testing rates required in the UK for baseline cough or fever cases for the period July 2020-June 2021. This was explored for different rates of the population requesting tests, four COVID-19 second wave scenarios and high and low baseline cough or fever incidence scenarios. Results: Under the high baseline cough or fever scenario, incidence in the UK is expected to rise rapidly from 250,708 (95%CI 181,095 - 347,080) cases per day in September to a peak of 444,660 (95%CI 353,084 - 559,988) in December. If 80% of these cases request tests, testing demand would exceed 1.4 million tests per week for five consecutive months. Demand was significantly lower in the low cough or fever incidence scenario, with 129,115 (95%CI 111,596 - 151,679) tests per day in January 2021, compared to 340,921 (95%CI 276,039 - 424,491) tests per day in the higher incidence scenario. Conclusions: Our results show that national COVID-19 testing demand is highly dependent on background cough or fever incidence. This study highlights that the UK's response to the COVID-19 pandemic must ensure that a high proportion of people with symptoms request tests, and that testing capacity is sufficient to meet the high predicted demand.

Socioeconomic Disparities in Social Distancing During the COVID-19 Pandemic in the United States: Observational Study.

BackgroundEliminating disparities in the burden of COVID-19 requires equitable access to control measures across socio-economic groups. Limited research on socio-economic differences in mobility hampers our ability to understand whether inequalities in social distancing are occurring during the SARS-CoV-2 pandemic.ObjectiveWe aimed to assess how mobility patterns have varied across the United States during the COVID-19 pandemic and to identify associations with socioeconomic factors of populations.MethodsWe used anonymized mobility data from tens of millions of devices to measure the speed and depth of social distancing at the county level in the United States between February and May 2020, the period during which social distancing was widespread in this country. Using linear mixed models, we assessed the associations between social distancing and socioeconomic variables, including the proportion of people in the population below the poverty level, the proportion of Black people, the proportion of essential workers, and the population density.ResultsWe found that the speed, depth, and duration of social distancing in the United States are heterogeneous. We particularly show that social distancing is slower and less intense in counties with higher proportions of people below the poverty level and essential workers; in contrast, we show that social distancing is intensely adopted in counties with higher population densities and larger Black populations.ConclusionsSocioeconomic inequalities appear to be associated with the levels of adoption of social distancing, potentially resulting in wide-ranging differences in the impact of the COVID-19 pandemic in communities across the United States. These inequalities are likely to amplify existing health disparities and must be addressed to ensure the success of ongoing pandemic mitigation efforts.

Impact of baseline cases of cough and fever on UK COVID-19 diagnostic testing rates: estimates from the Bug Watch community cohort study

Background: Diagnostic testing forms a major part of the UK’s response to the current coronavirus disease 2019 (COVID-19) pandemic with tests offered to anyone with a continuous cough, high temperature or anosmia. Testing capacity must be sufficient during the winter respiratory season when levels of cough and fever are high due to non-COVID-19 causes. This study aims to make predictions about the contribution of baseline cough or fever to future testing demand in the UK. Methods: In this analysis of the Bug Watch community cohort study, we estimated the incidence of cough or fever in England in 2018-2019. We then estimated the COVID-19 diagnostic testing rates required in the UK for baseline cough or fever cases for the period July 2020-June 2021. This was explored for different rates of the population requesting tests, four COVID-19 second wave scenarios and high and low baseline cough or fever incidence scenarios. Results: Under the high baseline cough or fever scenario, incidence in the UK is expected to rise rapidly from 250,708 (95%CI 181,095 - 347,080) cases per day in September to a peak of 444,660 (95%CI 353,084 - 559,988) in December. If 80% of these cases request tests, testing demand would exceed 1.4 million tests per week for five consecutive months. Demand was significantly lower in the low cough or fever incidence scenario, with 129,115 (95%CI 111,596 - 151,679) tests per day in January 2021, compared to 340,921 (95%CI 276,039 - 424,491) tests per day in the higher incidence scenario. Conclusions: Our results show that national COVID-19 testing demand is highly dependent on background cough or fever incidence. This study highlights that the UK’s response to the COVID-19 pandemic must ensure that a high proportion of people with symptoms request tests, and that testing capacity is sufficient to meet the high predicted demand.

Regional variation in diabetic retinopathy and associated factors in Spectrum of Eye Disease in Diabetes (SPEED) study in India-Report 5.

Purpose:To study the zonal variations in diabetic retinopathy (DR) and associated factors in people with known type 2 diabetes mellitus (T2DM) attending large eye care facilities in different regions of India.Methods:In this cross-sectional eye-care facility-based study, India was divided into five zones; large eye care facilities with a good referral base and offering an entire range of care for patients with DR were invited. First-time T2DM attendees aged ≥18 years were recruited. All subjects received a comprehensive systemic and ophthalmic examination. DR and systemic diseases were classified as per the international/national standards. Findings were compared between the zones and with the national average.Results:Fourteen eye-care facilities (15% public) from five zones participated. In the cohort of 11,173 people, there were more males (59%); the average age was above 45 years, and in 57%, DM had been diagnosed more than 5 years earlier. Compared with the overall study population, the proportion of people with any DR, sight-threatening DR, and blind were higher in the east zone (42.5%, 95% confidence interval [CI]: 40.2–44.8; 24.3%, 95% CI 22.3–26.3, and 11.5%, respectively); diabetic macular edema was more frequent in the south zone (12.2%, 95% CI 11.2–13.2); people with moderate-to-severe visual impairment were more in the west zone (32.1%) and higher proportion of people in the south-central zone had systemic hypertension (56.8%, 95% CI 54.8–58.9).Conclusion:The zonal variation in DR and related vision loss could be related to variable health-seeking behavior, availability, and confidence in the available services.

Association of Food Insecurity with Nutrient Intake and Depression among Korean and US Adults: Data from the 2014 Korea and the 2013-2014 US National Health and Nutrition Examination Surveys.

The purpose of this study is to understand the current status of food insecurity in Korea and the US and to compare the relationship of food insecurity with nutrient intake and depression. Data from the 2014 Korea and the 2013–2014 US National Health and Nutrition Examination Surveys were analyzed, and a total of 3102 Korean and 3234 American adults aged 20–64 years were included. Study subjects were classified into three groups according to degree of food insecurity assessed by the 18-item Household Food Security Survey Module: food secure (FS), mildly food insecure (FI 1), and moderately-to-severely food insecure (FI 2) groups. Energy and nutrient intake were assessed using a 24-h dietary recall. Depression was measured using the Patient Health Questionnaire-9 (PHQ-9) screener. The prevalence of food insecurity was 17.2% in Korea and 26.4% in the US. In both countries, the people in the FI 2 group had lower incomes and education levels and were mostly single. Energy and nutrient intake differed by food insecurity status. In both Korea and the US, adults with moderate-to-severe food insecurity (FI 2) consumed fewer proteins, fiber, potassium, and vitamin C. Additionally, the FI 2 groups had higher proportions of people not meeting the Dietary Reference Intake for protein, potassium, niacin, and vitamin C than the FS groups in Korea and the US. FI 2 people were three times more likely to be depressed than FS group; this difference was stronger in Korea than the US. We found that the prevalence of food insecurity was higher in the US than in Korea, and food insecurity was associated with reduced nutrient intake and increased odds of depression in both Korean and US adults. Therefore, food insecurity is an important public health issue at both the individual and national levels. Continuous monitoring and new intervention activities to promote food security are needed.

467. Spatial-Temporal Prediction Model of COVID-19 Mortality across 62 Counties in New York State

BackgroundCOVID-19 pandemic has resulted in considerable morbidity and mortality. New York State (NY) is the hotspot with most coronavirus cases, while there are spatial/temporal variations. Yet, few examined county-level factors of mortality in COVID-19 patients in NY. Based on the sociological framework in health, this study links large and representative public data to understand COVID-19 mortality in NY over different stages of pandemic.MethodsMortality cases were from Mar 17 (state of emergency; 0.1 per 100,000), Apr 18 (coronavirus peak; 87.4), Apr 25 (expand testing; 108.7), and May 11 (daily reduced to original; 137.6). Three domains (compositional, contextual, and collective) and 28 county-level predictors of mortality were extracted from American Community Survey, Area Health Resources, US Crime Data, and Religious Data systems for each county. Compositional domain covered socio-demographic characteristics in local areas (e.g., age, sex, race/ethnicity, housing). Contextual domain covered include social and physical opportunities (e.g., health insurance coverage, transportation, mental health providers). Collective domain covered neighborhood safety and religious adherents. Mixed effect regression with the least absolute shrinkage selection operator (LASSO) was used to select the predictors and estimate the parameters after adjusting the time effect and cumulative prevalence of COVID-19.有道词典; 0.1 per 100,000 people详细X;每100000人0.1ResultsNYC and the nearby boroughs (i.e., Bronx, Kings, Manhattan, Queens) had the highest cumulative mortality (231.69 per 100,000 people). Counties far from New York Cities (e.g., Allegany, Cortland, Delaware) had the lowest cumulative mortality. Spatial variation showed counties with larger population density (β=.01, p=.022) and/or higher proportion of people with at least high school education (β=227.24, p=.03) were at risk of higher cumulative mortality in COVID-19.ConclusionUnique spatial clustering mortality risk of COVID-19s was detected, highlighting important but understudied roles of contextual and collective factors. Tailored policy efforts shall be designed to support counties with large population density and high levels of education to prevent the mortality related to COVID-19 infection in NY.Disclosures All Authors: No reported disclosures

Increasing Heroin-Methamphetamine (Goofball) Use and Related Morbidity Among Seattle Area People Who Inject Drugs.

Methamphetamine use is increasing in the United States, potentially including the simultaneous injection of methamphetamine with heroin (goofball). We compared demographic, behavioral, contextual, and health factors among people who inject drugs (PWID) in the Seattle area and who reported that their main drug was goofball, heroin, or methamphetamine. We used data from 2017 and 2019 cross-sectional surveys of clients at Public Health-Seattle & King County's syringe services program (N = 792). Among PWID participants, 55.3% reported using goofball in the last 3 months, and the proportion reporting goofball as their main drug doubled between 2017 (10.3%) and 2019 (20.1%, P < .001). The goofball group had the highest proportions of people who were aged less than 30, women, homeless or unstably housed, and recently incarcerated. PWID whose main drug was goofball reported considerable health risks and morbidity. Witnessing an opioid overdose was most commonly reported by participants whose main drug was goofball. This group also reported naloxone possession and use in an overdose situation more than other participants. The majority of participants were interested in reducing or stopping their opioid and stimulant use. Among PWID, using goofball as a main drug doubled over 2 years and was characterized by contextual and individual factors that increase the risk of morbidity and mortality. This is the first study to characterize goofball use as a main drug. Clinical and public health efforts to diminish morbidity associated with opioid use need to integrate interventions that address the co-use of methamphetamine. (Am J Addict 2020;00:00-00).

Physical distancing and risk of COVID-19 in small-scale fisheries: a remote sensing assessment in coastal Ghana

The novel coronavirus is predicted to have dire implications on global food systems including fisheries value chains due to restrictions imposed on human movements in many countries. In Ghana, food production, both agriculture and fisheries, is exempted from restrictions as an essential service. The enforcement of COVID-19 prevention protocols, particularly social distancing, has been widely reported in Ghana’s agricultural markets whereas casual observations and media reports on fish landing sites suggest no such enforcements are in place. This study aimed to provide sound scientific evidence as a basis for informed policy direction and intervention for the artisanal fishing sector in these challenging times. We employed an unmanned aerial vehicle in assessing the risk of artisanal fishers to the pandemic using physical distancing as a proxy. From analysis of cumulative distribution function (G-function) of the nearest-neighbour distances, this study underscored crowding at all surveyed fish landing beaches, and identified potential “hotspots” for disease transmission. Aerial measurements taken at times of peak landing beach activity indicated that the highest proportion of people, representing 56%, 48%, 39% and 78% in Elmina, Winneba, Apam and Mumford respectively, were located at distances of less than one metre from their nearest neighbour. Risk of crowding was independent of the population at the landing beaches, suggesting that all categories of fish landing sites along the coast would require equal urgency and measured attention towards preventing and mitigating the spread of the disease.

Prevalence and correlates of diagnosed and undiagnosed epilepsy and migraine headache among people with severe psychiatric disorders in Ethiopia.

There is a paucity of research on the prevalence of diagnosed as well as undiagnosed neurological disorders with episodic manifestations such as epilepsy and migraine headaches in people with severe psychiatric disorders (SPD). To the best of our knowledge, this is the first study analyzing and comparing the prevalence of diagnosed and undiagnosed chronic neurological disorders with episodic manifestations including epilepsy and migraine headache in people with SPD. This quantitative cross-sectional survey was undertaken among 309 patients with SPD selected by a systematic random sampling technique. The Structured Clinical Interview for DSM-IV Axis I Disorders (SCID) was used to confirm SPD among the participants. The International Classification of Headache Disorders (ICHD-3) and International League Against Epilepsy (ILAE) were used to define migraine headache and epilepsy, respectively]. Risk factors for chronic neurologic disorders were explored by using logistic regression models. In this study, the prevalence of overall neurological disorders, epilepsy, and migraine headache among people with SPD were found to be 5.2% (95%CI 3.2-8.3), 1.6% (95%CI 0.7-3.9), and 3.9% (95%CI 2.2-6.7), respectively. We found that a considerably higher proportion of people with SPD had undiagnosed overall neurological disorder (87.5%; 14/16), epilepsy (60%; 3/5), as well as migraine headaches (100%; 12/12). On the other hand, in this study, 12.5%, 40%, and 0% of patients with overall neurologic disorder, epilepsy, and migraine headaches respectively were diagnosed by the professionals. Higher disability score (WHODAS score) was associated with increased odds of having neurological disorders compared with the lower WHODAS score [OR = 1.30 (95% CI 1.02-1.66)]. Whilst the prevalence estimates of neurological disorders with episodic manifestations including epilepsy and migraine headache was high among people with SPD, the vast majority of them remained undiagnosed. The diagnosis rates of those disorders were significantly low, perhaps surprisingly zero for migraine headache. High WHODAS score was associated with increased odds of having neurological disorders. Routine screening and management of epilepsy and migraine headache are imperative among people with SPD.

Microplastic Contamination of Three Commonly Consumed Seafood Species from Taiwan: A Pilot Study

Microplastics have already been detected in various human foods, especially seafood. This problem should be especially pertinent to the Taiwanese public because a relatively high proportion of people’s diet comes from seafood. Therefore, a pilot study of microplastic contamination of seafood products commonly consumed by Taiwanese people is presented. Six batches of three seafood species were examined for the presence of microplastics using FTIR spectroscopy. A total of 107 seafood individuals from three species (hard clam Meretrix lusoria, oyster Crassostrea gigas, Loligo squid Loliginidae spp.) weighing a total of 994 g yielded a total of 100 microplastic particles consisting of nine different polymer types. The most common polymer types were polypropylene, poly(ethylene:propylene:diene), and polyethylene terephthalate; we also detected six additional, but less common polymer types. A total of 91% of microplastic particles were fragments that likely originated from fragmented plastic debris which was then consumed by the seafood species; the remaining particles were fibers and a pellet. The mean number of microplastics kg−1 was 87.9 microplastics kg−1 across the three examined species. Given that the Taiwanese public average about 10 kg of seafood consumption per year, a few thousand microplastic particles are estimated to be annually consumed on average. The methodology of this pilot study can now be used to conduct examinations of more seafood species and samples.

One-year statin persistence and adherence in adults with HIV in the United States

Statin persistence and adherence are low among US adults. Most individuals with HIV in the US have high adherence to antiretroviral therapy (ART), but less is known about their statin persistence and adherence. We analyzed persistence and adherence to statin therapy among adults with and without HIV. We analyzed claims data from adults in the MarketScan database who initiated statin therapy between 2007 and 2016. People with HIV (n=5619) were frequency matched 1-to-4 to those without HIV (n=22,476) based on age, sex, and calendar year of statin initiation. Statin persistence was defined by having dispensed statin medication during the last 90 days of the 365 days following initiation. High statin adherence was defined as a proportion of days covered (PDC) ≥0.80 during the 365 days following initiation. Among people with HIV, the PDC for each ART was calculated. The mean age of the study population was 51 years and 85.8% were men. Statin persistence was higher among adults with versus without HIV (72.8% versus 65.2%, multivariable-adjusted prevalence ratio 1.13, 95%CI 1.11-1.15). Among those who were persistent, a higher proportion of people with versus without HIV had high statin adherence (69.6% versus 59.9%, multivariable-adjusted prevalence ratio 1.16, 95%CI 1.13-1.19). Among people with HIV and high ART adherence (minimum PDC ≥0.90), 34.6% had a PDC for statin therapy <0.80. Adults with HIV were more persistent and adherent to statin medications versus those without HIV. However, a high proportion of adults with HIV had low statin adherence.

Influence of production and behavioral risk factors on health disorders in employees of locomotive crews

Preserving the working longevity of locomotive crew employees is one of the priority tasks of Russian Railways. The urgency of the problem is related to both the medical aspects of railway traffic safety and the importance of preserving human capital. The aim of study is to research the influence of occupational and behavioral risk factors on health disorders in drivers and their assistants. The study included the results of a survey of 9308 employees of locomotive crews on the presence of production and behavioral risk factors for health disorders, as well as on the presence of cases of temporary disability, hospitalization or unscheduled medical care in the previous year. Additionally, the results of clinical and laboratory studies were studied. Noise exposure is the main production factor affecting the unscheduled attendance of locomotive crew employees to the doctor, the number of cases of temporary disability and hospitalization. Only 13% of respondents have a high level of commitment to a healthy lifestyle. Among employees who are not exposed to industrial noise, the number of people who have a high commitment to a healthy lifestyle is 2 times higher than among those who complain about the presence of an acoustic factor. The main differences in adherence to a healthy lifestyle between people who have and do not have complaints about the negative impact of the sound factor are related to alcohol abuse (1.4 times more often used by people working in conditions of noise exposure), frequent use of semi-finished products and fatty foods (1.2 times more often). Among people exposed to industrial noise, a body mass index (BMI) exceeding 25 kg/m2 is 1.5 times more common than in people who do not have noise exposure. The frequency of occurrence of blood pressure is more than 130/80 mm Hg. and blood cholesterol more than 5 mmol/l, respectively, is 1.9 and 2.2 times higher in individuals with intra-cab acoustic load, compared with those without. An increase in the number of cases of temporary disability, hospitalization, and unscheduled visits to a doctor in people who report exposure to noise in the driver's cab may be associated with both occupational and behavioral factors: alcohol consumption, poor nutrition, and a high proportion of people with a BMI exceeding 25 kg/m2.