The current state of work–life transformation will see more white-collar work being performed remotely using digital management systems. There is, however, a lack of research on factors and resources contributing to sustainable work when working remotely using digital management systems. The aim of this study was to study the conditions and resources connected to digital management systems and remote work, and their associations with sustainable work, in terms of process quality, trust, and sense of coherence, when working remotely during the COVID-19 pandemic. An analytical cross-sectional study was performed. Questionnaire data from white-collar employees (n = 484) in two private companies were analyzed with regression models, focusing on the importance of the conditions and resources connected to digital management systems and remote work, stratified by working from home or at the office. The results showed digital conditions and resources being associated with indicators of sustainable work. Furthermore, the results showed that social work relations were additional important explanatory factors for sustainable remote work. This study contributes to the development of a new post-pandemic work–life balance by concluding that sustainable remote work needs to be ensured by functional digital management systems and adequate leadership supporting the development of a positive team and learning climate. © 2022 by the authors.

There is great potential for reducing greenhouse gas emissions (GHGE) from public-sector meals. This paper aimed to develop a strategy for reducing GHGE in the Swedish school food supply while ensuring nutritional adequacy, affordability, and cultural acceptability. Amounts, prices and GHGE-values for all foods and drinks supplied to three schools over one year were gathered. The amounts were optimized by linear programming. Four nutritionally adequate models were developed: Model 1 minimized GHGE while constraining the relative deviation (RD) from the observed food supply, Model 2 minimized total RD while imposing stepwise GHGE reductions, Model 3 additionally constrained RD for individual foods to an upper and lower limit, and Model 4 further controlled how pair-wise ratios of 15 food groups could deviate. Models 1 and 2 reduced GHGE by up to 95% but omitted entire food categories or increased the supply of some individual foods by more than 800% and were deemed unfeasible. Model 3 reduced GHGE by up to 60%, excluded no foods, avoided high RDs of individual foods, but resulted in large changes in food-group ratios. Model 4 limited the changes in food-group ratios but resulted in a higher number of foods deviating from the observed supply and limited the potential of reducing GHGE in one school to 20%. Cost was reduced in almost all solutions. An omnivorous, nutritionally adequate, and affordable school food supply with considerably lower GHGE is achievable with moderate changes to the observed food supply; i.e., with Models 3 and 4. Trade-offs will always have to be made between achieving GHGE reductions and preserving similarity to the current supply.

Wastewaters can be analyzed to generate population-level data for public health surveillance, such as antibiotic resistance monitoring. To provide representative data for the contributing population, bacterial isolates collected from wastewater should originate from different individuals and not be distorted by a selection pressure in the wastewater. Here we use Escherichia coli diversity as a proxy for representativeness when comparing grab and composite sampling at a major municipal wastewater treatment plant influent and an untreated hospital effluent in Gothenburg, Sweden. All municipal samples showed high E. coli diversity irrespective of the sampling method. In contrast, a marked increase in diversity was seen for composite compared to grab samples from the hospital effluent. Virtual resampling also showed the value of collecting fewer isolates on multiple occasions rather than many isolates from a single sample. Time-kill tests where individual E. coli strains were exposed to sterile-filtered hospital wastewater showed rapid killing of antibiotic-susceptible strains and significant selection of multi-resistant strains when incubated at 20 °C, an effect which could be avoided at 4 °C. In conclusion, depending on the wastewater collection site, both sampling method and collection/storage temperature could significantly impact the representativeness of the wastewater sample.

Women with pre-gestational diabetes face additional challenges after birth as they struggle with breastfeeding and managing unpredictable blood glucose levels. The aim of this study is to validate the Diabetes and Breastfeeding Management Questionnaire (DBM-Q). In total, 142 mothers with type 1 diabetes mellitus answered the questionnaire, which initially consisted of 11 items. The response rate was 82.5% (n = 128) at two months, and 88.4% (n = 137) at six months postpartum. The measurement properties of the Diabetes and Breastfeeding Management Questionnaire were tested according to the Rasch measurement theory (RMT). One item showed both disordered thresholds and several model misfits and was removed. Two items showed disordered thresholds which were resolved by collapsing response categories. This resulted in a 10-item questionnaire with all the fit residuals within the range of +2.5, minor significant differential item functioning, well-targeted items and a person separation index of 0.73. Evaluating the DBM-Q according to the RMT is a strength, as it evaluates data against strict measurement criteria. This study provides an initial validation of the questionnaire. The DBM-Q shows good measurement properties for measuring diabetes and breastfeeding management postpartum in women with pre-gestational diabetes. Further studies are needed to identify cutoffs for when professional support is needed. © 2020 by the authors.

Crowding in dwellings is an important public health issue. We hypothesize that overcrowding may cause indirect health effects by adversely affecting the dwelling itself, for example, by increasing dampness leading to mold. We therefore performed a systematic search and a scoping review on overcrowding leading to dwelling condition characteristics of relevance for health. A literature search was performed using the PubMed and Scopus databases up to 5 March 2021. The search yielded 100 records with relevant information. We found that overcrowding is defined in numerous ways and often address “socially deprived” populations. Six studies report associations of overcrowding with at least one dwelling condition characteristic, namely lead, cadmium, microorganism distribution, dust mite and cockroach allergens in dust, cockroach infestation, peeling paint, and mold. One of the studies reports associations between several characteristics, e.g., association of mold with cleanliness and rodent infestation, and points out the common use of pesticides. Additional characteristics were extracted from the remaining 94 records, without data on statistical associations with overcrowding. Our review suggests that multiple potentially hazardous dwelling condition characteristics often coincide in overcrowded dwellings. The epidemiological attribution of health effects to any characteristic is therefore difficult. Causal relationships are even more difficult to establish, as overcrowding is also associated with a range of social and other circumstances that may affect health. The complexity should be considered by scientists and practitioners dealing with overcrowding in dwellings. © 2022 by the authors.