Study objectives: Obesity is often associated with lower lung function; however, the interaction of lung function with central obesity and physical inactivity is less clear. As such, we investigated the effect on lung function of body size (body mass index (BMI)), central obesity (waist circumference (WC)) and self-reported physical activity.Methods: Lung function, height, weight and WC were measured in 22 743 participants (12 791 women), aged 45–75 years, from the EpiHealth cohort study. Physical activity, gender and educational level were assessed using a questionnaire.Results: Obesity, central obesity and physical inactivity were all associated with lower forced expiratory volume in 1 s (FEV₁) and forced vital capacity (FVC). However, in participants without central obesity there was an increase in both FEV₁and FVC by BMI (% predicted FVC increasing from median 98%, interquartile range (IQR) 89–110% in underweight participants (BMI <20) to 103%, IQR 94–113% in obese participants (BMI ≥30)). In contrast, there was a decrease in % predicted FVC in participants with central obesity (from 98%, IQR 89–109% in the normal weight group to 95%, IQR 85–105% in the obese weight group). We further found a negative association between physical activity and lung function among those with low and high levels of physical activity (% predicted FEV₁97%, IQR 86–107%versus103%, IQR 94–113%, respectively and % predicted FVC 96%, IQR 85–106%versus103%, IQR 94–113%, respectively). All results remained when calculated by z-scores.Conclusions: The association between BMI and lung function is dependent on the presence of central obesity. Independent of obesity, there is an association between physical activity and lung function.

Background: Better knowledge of long-term symptoms following coronavirus disease 2019 (COVID-19), the so-called post-COVID-19, in non-hospitalized patients is needed. The aim of this study was to study persisent symptoms up to 12 months after COVID-19 in non-hospitalized patients and their impact on work ability. We also investigated predictors of persistent symptoms. Methods: This study encompassed non-hospitalized adult subjects with a COVID-19 infection confirmed via positive nasopharyngeal swab polymerase chain reaction test during the first wave of the pandemic in Uppsala, Sweden. In total, 566 subjects were sent a survey via e-mail or post with an invitation to participate in the survey 12 months post-diagnosis. The majority of subjects were healthcare workers, as this group was prioritized for testing. Results: A total of 366 subjects responded, with 47% reporting persistent symptoms 12 months after their COVID-19 diagnosis. The most commonly reported symptoms at this time were impaired sense of smell and/or taste and fatigue. Among the predictors of persistent symptoms were being born abroad, lower physical fitness compared with peers before COVID-19, body mass index >25 kg/m2, cooccurrence of hypertension and chronic pain, and having more than seven of the general COVID-19 symptoms at the onset. Respondents with symptoms after 12 months self-reported negatively about their general health and work ability. Conclusions: This study indicated that many people who had mild COVID-19 might have a variety of long-term symptoms. It highlights the importance of considering work ability after mild COVID-19.

Body postural allocation during daily life is important for health, and can be assessed with thigh-worn accelerometers. An algorithm based on sedentary bouts from the proprietary ActivePAL software can detect lying down from a single thigh-worn accelerometer using rotations of the thigh. However, it is not usable across brands of accelerometers. This algorithm has the potential to be refined. Aim: To refine and assess the validity of an algorithm to detect lying down from raw data of thigh-worn accelerometers. Axivity-AX3 accelerometers were placed on the thigh and upper back (reference) on adults in a development dataset (n = 50) and a validation dataset (n = 47) for 7 days. Sedentary time from the open Acti4-algorithm was used as input to the algorithm. In addition to the thigh-rotation criterion in the existing algorithm, two criteria based on standard deviation of acceleration and a time duration criterion of sedentary bouts were added. The mean difference (95% agreement-limits) between the total identified lying time/day, between the refined algorithm and the reference was +2.9 (−135,141) min in the development dataset and +6.5 (−145,159) min in the validation dataset. The refined algorithm can be used to estimate lying time in studies using different accelerometer brands.

Background: The aim is to explore how an organisational work environment support model, the Stamina model, influences employees’ work situations and the development of sustainable work systems. Methods: It was a qualitative study with semi-structured, focus-group interviews, including 45 employees from six work groups. Eighteen focus group interviews were conducted over a period of two years. Data were analysed with constant comparative method. Results: The core category, shifting focus from an individual to an organisational perspective of work, illustrated how communication and increased understanding of one’s work tasks changed over time and contributed to deeper focus on the actual operation. These insights were implemented at different time points among the work groups during the two-year process. Conclusions: Our results indicate that working with the model engages employees in the work environment management, puts emphasis on reflections and discussions about the meaning and purpose of the operations and enables a shared platform for communication. These are important features that need to continue over time in order to create a sustainable work system. The Stamina model, thus seems to have the potential to promote productive and healthy work places.

The working environment should be a naturally integrated part of business development. Provisions are in place that address the employer’s obligations to investigate, carry out and follow up activities in such a way that ill health and accidents at work are prevented and a satisfactory working environment is achieved. Still, there are organizations that not properly perform systematic work environment management. In order to improve adherence, interventions and models focused on these issues need to be easy to understand and provide rapid feedback of results in order to be implemented. The Stamina model has recently been implemented in Sweden. The model is a participatory organizational systematic model facilitating the work environment, productivity and quality. It is a support model that provides structured and recurrent feedback in the systematic work environment management. The aim of the present paper is to thoroughly describe the Stamina model and the studies that are designed to investigate the effect, to increase the understanding of how and why the model was or was not effective, and to identify factors that facilitate implementation. The paper presents a project consisting of two related evaluation parts. Part one is an effect evaluation with an active group applying the Stamina model and a control group. This part investigate effects on proxy outcomes that are relevant for health and productivity. Part two is a process evaluation with a qualitative design. This part will be based on semi-structured interviews with various stakeholders, such as employees, first line managers, project managers, facilitators and representatives from the management group, in the organizations. Many interventions found to be effective in research projects fail to translate into meaningful outcomes across multiple contexts. In this project a participatory approach will be adopted, including the possibility to modify the model according to organizational needs and preconditions. Valuable knowledge regarding the design and implementation of the model will be generated in order to develop a model that is suitable and sustainable in organizations.