Patients and Methods: Epidemiologic data of patients diagnosed with an autoimmune bullous disease during this time period were registered and statistically evaluated. Diagnosis was based on the clinical picture and specific immunopathological findings. Only patients from Lower Franconia, a well-defined administrative region of Southern Germany, were included into this study. Results: During the study period, 41 patients with an autoimmune bullous disease were diagnosed, including 27 with bullous pemphigoid, 4 with pemphigoid gestationis and mucous membrane pemphigoid, 2 with dermatitis herpetiformis and linear IgA disease, and 1 with epidermolysis bullosa acquisita and pemphigus vulgaris, respectively. The highest incidence was calculated for bullous pemphigoid (13.4 per 1 million inhabitants per year) followed by pemphigoid gestationis (2.0) and mucous membrane pemphigoid (2.0). Patients with mucous membrane pemphigoid were found to have the highest mean age at disease onset (76 years) followed by patients with bullous pemphigoid (74 years). Conclusions: This is the first prospective study on the incidence of autoimmune bullous disorders. Subepidermal blistering autoimmune diseases were shown to be more frequent than previously reported for Central Europe. This is most likely due to improved diagnostic tools for and increased awareness of these diseases.

Physiological hyperarousal is manifested acutely by increased heart rate, decreased respiratory sinus arrhythmia, and increased skin conductance level and variability. Yet it is uncertain to what extent such activation occurs with the symptomatic hyperarousal of posttraumatic stress disorder (PTSD). We compared 56 male veterans with current PTSD to 54 males who never had PTSD. Subjects wore ambulatory devices that recorded electrocardiograms, finger skin conductance, and wrist movement while in their normal environments. Wrist movement was monitored to estimate sleep and waking periods. Heart rate, but not the other variables, was elevated in subjects with PTSD equally during waking and during actigraphic sleep (effect sizes, Cohen's d, ranged from 0.63 to 0.89). The length of the sleep periods and estimated sleep fragmentation did not differ between groups. Group heart rate differences could not be explained by differences in body activity, PTSD hyperarousal symptom scores, depression, physical fitness, or antidepressant use.

The feeling of loneliness is a major public health concern associated with multiple somatic and psychiatric illnesses. Studies have shown increasing incidence of loneliness in the general population during the first wave of the COVID-19 pandemic. Homeless individuals are a particularly vulnerable group; however, little is known about loneliness among homeless individuals. We therefore aimed to examine the prevalence of loneliness among homeless individuals during the pandemic. Furthermore, we estimated the association between loneliness and sociodemographic and lifestyle factors, as well as the self-perceived risk of contracting COVID-19. Data from the Hamburg survey of homeless individuals were used, including 151 homeless individuals that were recruited in spring of 2020. Loneliness was measured by the 3- item version of the UCLA-3 Loneliness Scale. To summarize, 48.5% of the participants experienced loneliness. Multiple linear regressions showed increased loneliness to be associated with male gender (β = 1.07, p = 0.01), being single (β = 1.33, p = 0.00), originating from Germany (β = 1.48, p = 0.00), high frequency of sharing a sleeping space with more than three people (β = 0.42, p = 0.02) and a higher self-perceived risk of contracting COVID-19 (β = 0.41, p = 0.02). On the contrary, there was no association of loneliness with age, educational level, chronic alcohol consumption or frequently sharing a sleeping space. In conclusion, the magnitude of loneliness among homeless individuals during the pandemic was highlighted. Description of factors determining loneliness may help to identify homeless individuals at risk.

Sleep disturbance is commonly reported by participants with post-traumatic stress disorder, but objective evidence of poor sleep is often absent. Here we compared self-report and actigraphic evaluations of sleep between veterans with post-traumatic stress disorder and controls. Participants reported their sleep retrospectively for the month before the recording night and on the recording night. On the recording night, they wore an Actiwatch-64 and were instructed to press the marker button upon getting into bed, each time they awoke, and at their final awakening. The post-traumatic stress disorder group reported much worse sleep than controls on the Pittsburgh Sleep Quality Index for the previous month and somewhat poorer sleep on the recording night. However, on the recording night, neither diary nor actigraphic measures of number of awakenings, total time in bed, nor time lying awake after sleep onset differed between participants with and without post-traumatic stress disorder. Diary-reported number of awakenings was fewer than actigraphically captured awakenings. These results suggest a memory bias towards remembering worse sleep on the nights before the recording night.

Purpose To clarify the prevalence and determinants of fear of COVID-19 among homeless individuals during the COVID-19 pandemic. Patients and Methods Data were taken from the Hamburg survey of homeless individuals (n=150) covering homeless adults in Hamburg, Germany. Multiple linear regressions were used. Beyond sociodemographic and lifestyle-related independent variables, COVID-19-related factors were also used as independent variables. Results In sum, 56.2% of homeless individuals reported no fear of COVID-19, 23.8% reported a little fear of COVID-19, 9.2% reported some fear of COVID-19 and 10.8% reported severe fear of COVID-19. Regressions showed that an increased fear of COVID-19 was significantly associated with younger age (β=−.01, p<0.05), absence of chronic alcohol consume (β=−.55, p<0.01), an increased perceived own risk of getting infected with the coronavirus one day (β=0.42, p<0.001) and a higher agreement that a diagnosis of the coronavirus would ruin his/her life (β=0.13, p<0.01). Conclusion Given the poor hygienic conditions and their increased vulnerability, data surprisingly suggest a quite low fear of COVID-19 among homeless individuals. Efforts may be beneficial which contribute to thinking rationally about COVID-19 among homeless people, since low levels of fear of COVID-19 may contribute to careless behavior and can lead to super-spreading events.

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The 13C-acetate breath test (13C-ABT) allows noninasive measurement of liquid gastric emptying time (LGET), the H2-lactulose breath (H2-LBT) measures orocecal transit time (OCTT). Because of different test principles, both tests can generally be combined. This would not only spare time and resources but may also deliver additional information on the integrated regulation of gastrointestinal motor functions. Our aim was to define an adequate test protocol and to generate normal values for the combined 13C-ABT/H2-LBT. Twenty two healthy volunteers participated (HV, 12 females, age: 26.5  ±  4.7 years, BMI: 22  ±  2.1 kgm(-2). Fasting subjects received 200 ml of an aequous solution containing 150 mg 13C-acetate and 10 g lactulose. Breath samples for H2 measurements were collected before ingestion of the test solution and afterwards at 5 min intervals for 180 min, for 13C measurements sampling intervals were prolonged to 15 min after the first hour. LGET was defined as time of maximal 13C-exhalation, OCTT as increase in H2 of ⩾ 20 ppm above basal. Small bowel transit time (SBTT) was calculated as the difference between OCTT and LGET. Mean [95% CI] values for LGET, OCTT and SBTT were 26 [23-30] min, 85 [68-102] min and 60 [44-76] min, respectively. Normal values for LGET and OCTT corresponded with published data. SBTT was not correlated with LGET (R2 = 0.019; p = 0.546). By contrast, there was a very tight and highly significant correlation between SBTT and OCTT (R2 = 0.933; p < 0.001). Multivariate linear regression analyses confirmed that age, sex and BMI had no significant effects on OCTT or SBTT while LGET was weakly correlated with BMI (R2 = 0.240; p = 0.021). In conclusion, the combined 13C-ABT/H2-LBT allows simultaneous measurement of LGET and OCTT as well as calculation of SBTT.

Background To identify the determinants of health care use among homeless individuals. Methods Data were taken from the Hamburg survey of homeless individuals (n = 100 individuals in the here used model, mean age 44.8 years, SD 12.5) focusing on homeless individuals in Hamburg, Germany. The number of physician visits in the past 3 months and hospitalization in the preceding 12 months were used as outcome measures. Drawing on the Andersen model of health care use as a conceptual framework, predisposing characteristics, enabling resources and need factors as well as psychosocial variables were included as correlates. Results Negative binomial regressions showed that increased physician visits were associated with being female (IRR: 4.02 [95% CI: 1.60–10.11]), absence of chronic alcohol consume (IRR: 0.26 [95% CI: 0.12–0.57]) and lower health-related quality of life (IRR: 0.97 [95% CI: 0.96–0.98]). Furthermore, logistic regressions showed that the likelihood of hospitalization was positively associated with lower age (OR: 0.93 [95% CI: 0.89–0.98]), having health insurance (OR: 8.11 [2.11–30.80]) and lower health-related quality of life (OR: 0.97 [95% CI: 0.94–0.99]). Conclusions Our study showed that predisposing characteristics (both age and sex), enabling resources (i.e., health insurance) and need factors in terms of health-related quality of life are main drivers of health care use among homeless individuals. This knowledge may assist in managing health care use.