Diurnal Temperature Ranges in Relation to Lower Limb Amputation Rate of Diabetic Foot in South Korea: A Population Based Nationwide Study

The evidence for the association between diurnal temperature range (DTR) and diabetic foot amputations is limited. We aimed to investigate the region-specific association between DTR and the amputation rate of diabetic foot in Korean national-wide data. Daily data on DTR and the rate of diabetic foot amputations from 16 provincial capital cities in Korea were obtained (2011–2018). In this study, the latitude ranged from 33°11′ N to 38°61′ N, and we classified each region according to latitude. Region 1, which was located at a relatively high latitude, included Seoul, Incheon, Gyeonggi-do, and Gangwon-do. Region 2, which was located at a relatively low latitude, included Busan, Ulsan, Gyeonsannam-do, Gwangju, Jeollanam-do, Jeollabuk-do, and Jeju-do. The region-specific DTR effects on the amputation rate were estimated based on a quasi-Poisson generalized linear model, combined with a distributed lag non-linear model based on the self-controlled case series design. The DTR impacts were generally limited to a period of nine days, while significant effects during lag days 7–14 were only found in the cities of Seoul, Incheon, and Gyeonggi-do (10th lag day: RR [95% CI]; Seoul: 1.015, [1.001–1.029]; Incheon: 1.052 [1.006–1.101]; Gyeonggi-do: 1.018 [1.002–1.034]). In the subgroup analysis (according to the latitude), an increase of 1 °C in DTR was associated with the risk of diabetic foot in relatively high latitude regions. DTR has considerable effects on the risk of diabetic foot amputation in various provinces in Korea, and it was particularly affected by latitude. The results can inform the decisions on developing programs to protect vulnerable subpopulations from adverse impacts.

Physical and psychosocial working conditions as predictors of 5-year changes in work ability among 2078 employees in Germany

Objective To examine 5-year prospective associations between working conditions and work ability among employees in Germany. Methods A cohort study (2011/2012–2017), based on a random sample of employees in employments subject to payment of social contributions aged 31–60 years (Study on Mental Health at Work; S-MGA; N = 2,078), included data on physical and quantitative demands, control (influence, possibilities for development, control over working time), relations (role clarity and leadership quality) and work ability (Work Ability Index, WAI; subscale ‘subjective work ability and resources’). Data were analysed using linear regression. Results Physical demands and control were associated with small 5-year changes in work ability (ΔR2 = 1%). Among the subgroup of employees with ≥ 25 sickness days, possibilities for development, control and quality of leadership were associated with changes in work ability (ΔR2 = 8%). Conclusions The impact of working conditions on long term changes in work ability seems to be negligible. However, in vulnerable subpopulations experiencing poor health, working conditions may be associated to a larger extent to work ability over this time span.

Modelling COVID-19 contagion: risk assessment and targeted mitigation policies

We use a spatial epidemic model with demographic and geographical heterogeneity to study the regional dynamics of COVID-19 across 133 regions in England. Our model emphasizes the role of variability of regional outcomes and heterogeneity across age groups and geographical locations, and provides a framework for assessing the impact of policies targeted towards subpopulations or regions. We define a concept of efficiency for comparative analysis of epidemic control policies and show targeted mitigation policies based on local monitoring to be more efficient than country-level or non-targeted measures. In particular, our results emphasize the importance of shielding vulnerable subpopulations and show that targeted policies based on local monitoring can considerably lower fatality forecasts and, in many cases, prevent the emergence of second waves which may occur under centralized policies.

Toward Many Emerging Adulthoods: A Theory-Based Examination of the Features of Emerging Adulthood for Cross-Systems Youth

Although it is widely acknowledged that emerging adulthood is experienced differently by various groups, few studies have directly examined the theoretical features of emerging adulthood in vulnerable subpopulations of low-income young people in the United States. This study addressed this gap by exploring the salience of the five features proposed in emerging adulthood theory—identity exploration, instability, feeling in-between, sense of self-focus, and optimism for the future—for cross-systems youth. Two samples from prior qualitative studies of young people age 18–24 who had experienced homelessness, child welfare involvement, and/or educational disadvantage were combined for the analysis ( N = 50). We noted important divergences and nuances in the ways in which the theoretical features resonated with the sample. For example, most participants sought financial stability and independence, rather than identity and career exploration. The findings speak to the importance of further research to establish features of emerging adulthood in diverse populations.

Particulate matter inhalation and the exacerbation of cardiopulmonary toxicity due to metabolic disease

Particulate matter is a significant public health issue in the United States and globally. Inhalation of particulate matter is associated with a number of systemic and organ-specific adverse health outcomes, with the pulmonary and cardiovascular systems being particularly vulnerable. Certain subpopulations are well-recognized as being more susceptible to inhalation exposures, such as the elderly and those with pre-existing respiratory disease. Metabolic syndrome is becoming increasingly prevalent in our society and has known adverse effects on the heart, lungs, and vascular systems. The limited evaluations of individuals with metabolic syndrome have demonstrated that they may compose a sensitive subpopulation to particulate exposures. However, the toxicological mechanisms responsible for this increased vulnerability are not fully understood. This review evaluates the currently available literature regarding how the response of an individual’s pulmonary and cardiovascular systems is influenced by metabolic syndrome and metabolic syndrome-associated conditions such as hypertension, dyslipidemia, and diabetes. Further, we will discuss potential therapeutic agents and targets for the alleviation and treatment of particulate-matter induced metabolic illness. The information reviewed here may contribute to the understanding of metabolic illness as a risk factor for particulate matter exposure and further the development of therapeutic approaches to treat vulnerable subpopulations, such as those with metabolic diseases.

DIFERENCIAS EN EL ACCESO Y EN EL TIEMPO HASTA EL INICIO DE TRATAMIENTO HEPATITIS C EN PERSONAS CON DESORDENES DE SALUD MENTAL

People who inject drugs (PWID) and other marginalized populations with high hepatitis C virus (HCV) infection rates represent a unique challenge for treatment initiation due to health, administrative and social barriers. We analyzed the HCV cascade of care (CoC) in some vulnerable subpopulations in Madrid, Spain, when using a mobile point of care. to identify gaps and barriers to improve HCV elimination efforts in these populations. Methods: From 2019 to 2021, a mobile unit was used to screen for HCV using a linkage-to-care and two-step point-of-care-based strategy. Viremic participants were grouped into four subgroups: PWID, homeless individuals, people with a mental health disorder (MHD) and people with alcohol use disorder (AUD). Logistic regression and Cox and Aalen’s additive models were used to analyze associated factors and differences between groups. Results: A prospectively recruited cohort of 214 HCV infected individuals (73 PWID, 141 homeless, 57 with a MHD and 91 with AUD) participated in the study. The overall HCV CoC analysis found that: 178 (83.1%) attended a hospital, 164 (76.6%) initiated direct-acting antiviral therapy and 141 (65.8%) completed therapy, of which 99 (95.2%) achieved a sustained virological response (SVR). PWID were significantly less likely to initiate treatment, while individuals with AUD waited longer before starting treatment. Both people with AUD and PWID were significantly less likely to complete HCV treatment. Conclusions: Overall, SVR was achieved in the majority of the participants treated. However, PWID need better linkage to care and treatment, while PWID and AUD need more support for treatment completion.

Burden and prevalence of risk factors for severe COVID-19 disease in the ageing European population – A SHARE-based analysis

Aim: International health authorities suggest that individuals aged 65 years and above and people with underlying comorbidities such as hypertension, chronic lung disease, cardiovascular disease, cancer, diabetes, and obesity are at increased risk of severe Coronavirus Disease 2019 (COVID-19); however, the prevalence of risk factors is unknown in many countries. Therefore, we aim to describe the distribution of these risk factors across Europe. Subject and Methods: Prevalence of risk factors for severe COVID-19 was identified based on interview for 73,274 Europeans aged 50+ participating in the Survey of Health, Ageing and Retirement in Europe (SHARE) in 2017. Burden of disease was estimated using population data from Eurostat. Results: A total of 75.3% of the study population (corresponding to app. 60 million European men and 71 million women) had at least one risk factor for severe COVID-19, 45.9% (app. 36 million men and 43 million women) had at least two factors and 21.2% (app. 17 million men and 20 million women) had at least three risk factors. The prevalences of underlying medical conditions ranged from 4.5% for cancer to 41.4% for hypertension, and the region-specific prevalence of having at least three risk factors ranged from 18.9% in Northern Europe to 24.6% in Eastern Europe. Conclusions: Information about the prevalences of risk factors might help authorities to identify the most vulnerable subpopulations with multiple risk factors of severe COVID-19 disease and thus to decide appropriate strategies to mitigate the pandemic.

Modelling COVID-19 contagion: Risk assessment and targeted mitigation policies

We use a spatial epidemic model with demographic and geographic heterogeneity to study the regional dynamics of COVID-19 across 133 regions in England. Our model emphasises the role of variability of regional outcomes and heterogeneity across age groups and geographic locations, and provides a framework for assessing the impact of policies targeted towards sub-populations or regions. We define a concept of efficiency for comparative analysis of epidemic control policies and show targeted mitigation policies based on local monitoring to be more efficient than country-level or non-targeted measures. In particular, our results emphasise the importance of shielding vulnerable subpopulations and show that targeted policies based on local monitoring can considerably lower fatality forecasts and, in many cases, prevent the emergence of second waves which may occur under centralised policies.