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OBJECTIVE: Compare the long-term effects of two different individualised physical activity interventions in hip or knee osteoarthritis patients. DESIGN: Randomised, assessor-blinded, controlled trial. SETTING: Primary care. SUBJECTS: Patients with clinically verified hip or knee osteoarthritis, <150 min/week with moderate or vigorous physical activity, aged 40-74. INTERVENTION: The advice group (n = 69) received a 1-h information and goalsetting session for individualised physical activity. The prescription group (n = 72) received information, goalsetting, individualised written prescription, self-monitoring, and four follow-ups. MAIN MEASURES: Physical activity, physical function, pain and quality of life at baseline, 6, 12 and 24 months. RESULTS: There were only minor differences in outcomes between the two groups. For self-reported physical activity, the advice group had improved from a mean of 102 (95% CI 74-130) minutes/week at baseline to 214 (95% CI 183-245) minutes/week at 24 months, while the prescription group had improved from 130 (95% CI 103-157) to 176 (95% CI 145-207) minutes/week (p = 0.01 between groups). Number of steps/day decreased by -514 (95% CI -567-462) steps from baseline to 24 months in the advice group, and the decrease in the prescription group was -852 (95% CI -900-804) steps (p = 0.415 between groups). Pain (HOOS/KOOS) in the advice group had improved by 7.9 points (95% CI 7.5-8.2) and in the prescription group by 14.7 points (95% CI 14.3-15.1) from baseline to 24 months (p = 0.024 between groups). CONCLUSIONS: There is no evidence that individualised physical activity on prescription differs from individualised advice in improving long-term effects in patients with hip or knee osteoarthritis.

OBJECTIVE: To compare the responsiveness of two unilateral lower-limb performance-based tests, the one-leg rise test and the maximal step-up test, with the bilateral 30-second chair-stand test and the self-reported measure of physical function (HOOS/KOOS). Specific aims were to evaluate responsiveness, floor/ceiling effect and association between the instruments. METHOD: Data was included from 111 participants, mean age 61.3 years (8.3), with clinically verified hip or knee osteoarthritis, who reported less than 150 minutes/week of moderate or vigorous intensity physical activity. Responsiveness, how well the instruments captured improvements, was measured as Cohen's standardised mean difference for effect size, and was assessed from baseline to 12 months following a physical activity intervention. Other assessments were floor and ceiling effects, and correlations between tests. RESULTS: The maximal step-up test had an effect size of 0.57 (95% CI 0.37, 0.77), the 30-second chair-stand 0.48 (95% CI 0.29, 0.68) and the one-leg rise test 0.12 (95% CI 0.60, 0.31). The one-leg rise test had a floor effect as 72% of the participants scored zero at baseline and 63% at 12 months. The correlation between performance-based tests and questionnaires was considered to be minor (r = 0.188 to 0.226) (p = 0.018 to 0.048). CONCLUSION: The unilateral maximal step-up test seems more responsive to change in physical function compared to the bilateral 30-second chair-stand test, although the tests did not differ statistically in effect size. The maximal step-up test provides specific information about each leg for the individual and allows for comparison between the legs.

Background: Healthy lifestyle habits are recommended in prevention of cardiovascular disease (CVD). However, there is limited knowledge concerning the change in lifestyle-related factors from before to after a CVD event. Thus, this study aimed to explore if and how lifestyle habits and other lifestyle-related factors changed between two health assessments in individuals experiencing a CVD event between the assessments, and if changes varied between subgroups of sex, age, educational level, duration from CVD event to second assessment and type of CVD event. Methods: Among 115,504 Swedish employees with data from two assessments of occupational health screenings between 1992 and 2020, a total of 637 individuals (74% men, mean age 47 ± SD 9 years) were identified having had a CVD event (ischemic heart disease, cardiac arrythmia or stroke) between the assessments. Cases were matched with controls without an event between assessments from the same database (ratio 1:3, matching with replacement) by sex, age, and time between assessment (n = 1911 controls). Lifestyle habits included smoking, active commuting, exercise, diet, alcohol intake, and were self-rated. Lifestyle-related factors included overall stress, overall health (both self-rated), physical capacity (estimated by submaximal cycling), body mass index and resting blood pressure. Differences in lifestyle habits and lifestyle-related factors between cases and controls, and changes over time, were analysed with parametric and non-parametric tests. Multiple logistic regression, OR (95% CI) was used to analyse differences in change between subgroups. Results: Cases had, in general, a higher prevalence of unhealthy lifestyle habits as well as negative life-style related factors prior to the event compared to controls. Nevertheless, cases improved their lifestyle habits and lifestyle factors to a higher degree than controls, especially their amount of active commuting (p = 0.025), exercise (p = 0.009) and non-smoking (

Purpose: This embedded qualitative study explored the acceptability, feasibility, and fidelity of two multi-level RCT interventions among office workers, aiming at improving movement behaviour to enhance mental health and cognition. The interventions addressed the organizational, environmental, and individual level. Methods: Semi-structured interviews and focus group discussions were conducted with 38 stakeholders after completion of the interventions. Data were analysed using reflexive thematic analysis. Results: The interventions were well appreciated, and office workers attributed improvements in movement behaviour and wellbeing to the interventions. Especially the cognitive behavioural therapy (CBT) based counselling and free gym access were appreciated, feasible and delivered as planned. Participants described existing workplace norms as barriers to more activity, particularly for reducing sitting. Support from managers and team support were considered crucial components. However, delivering these components was difficult. Conclusions: The findings support the design of the multi-level interventions for changing movement behaviour. Results highlight the potential of CBT for this target group and the importance of manager and team support. Desired effects of similar multi-level interventions, including CBT, might be achieved in future studies that carefully address the issues with feasibility and acceptability and the resulting low fidelity of some intervention components that were identified in this study.

A knowledge gap remains in understanding how to improve the intervention effectiveness in office workers targeting physically active (PA) behavior. We aim to identify the modifying effect of executive function (EF) on the intervention effectiveness targeting PA-behaviors, and to verify whether the observed effect varies by Job Demand Control (JDC) categories. This workplace-based intervention study included 245 participants who were randomized into a control group and two intervention arms-promoting physical activity (iPA) group or reducing sedentary behavior (iSED) group. The interventions were conducted through counselling-based cognitive behavioral therapy and team activities over 6 months. PA-behaviors were measured by an accelerometer. EF was assessed by the Trail Making Test-B, Stroop, and n-back test. The JDC categories were measured by the demand control questionnaire. Higher EF level at baseline was significantly associated with the intervention effect on increased sleep time (beta-coefficient: 3.33, p = 0.003) and decreased sedentary time (-2.76, p = 0.049) in the iSED-group. Participants with active jobs (high job demands, high control) presented significantly increased light-intensity PA in the iSED-group in comparison to the control group. Among participants with a high level of EF and active jobs, relative to the control group, the iPA-group showed a substantial increase in light-intensity PA (1.58, p = 0.036) and the iSED-group showed a tendency of reducing sedentary behavior (-5.35, p = 0.054). The findings suggest that office workers with a high EF and active jobs may benefit most from an intervention study targeting PA-behaviors.

The abstract was not presented at the conference due to covid pandemic, but published in the meeting abstracts.

BACKGROUND: Reliable physical activity measurements in community-dwelling older adults are important to determine effects of targeted health promotion interventions. Many exercise interventions aim to improve time spent sedentary (SED), in light-intensity-physical-activity (LPA) and moderate-to-vigorous-intensity-physical-activity (MVPA), since these parameters have independently proposed associations with health and longevity. However, many previous studies rely on self-reports which have lower validity compared to accelerometer measured physical activity patterns. In addition, separating intervention-effects from reactivity measurements requires sufficient test-retest reliability for accelerometer assessments, which is lacking in older adults. OBJECTIVES: The study objective was to investigate the reliability of sensor-based PA-patterns in community-dwelling older adults. Furthermore, to investigate change over time of physical activity patterns and examine any compensatory-effect from the eight-week supervised exercise-intervention. METHODS: An exercise-group (n = 78, age-range:65-91yrs) performed two 1h-exercise sessions/week during eight-weeks. PA-pattern was assessed (using hip-worn accelerometers), twice before and once during the last-week of the intervention. A control-group (n = 43, age-range:65-88yrs) performed one pre-test and the end-test with no exercise-intervention. A dependent-t-test, mean-difference (95%-CI), limits-of-agreement and intraclass-correlation-coefficient-ICC were used between the two pre-tests. Repeated-measures-ANOVA were used to analyze any intervention-effects. RESULTS: The exercise-groups´ two pre-tests showed generally no systematic change in any PA- or SED-parameter (ICC ranged 0.75-0.90). Compared to the control group, the exercise intervention significantly (time x group-interaction, p<0.05) increased total-PA-cpm (exercise-group/control-group +17%/+7%) and MVPA-min/week (+41/-2min) and decreased %-of-wear-time for SED-total

Background: Behavior change research suggests that interventions addressing not only the individual, but also the environmental and organizational level might be more effective than those addressing only one. However, few RCTs have tried to change movement behavior among office workers with the aim of improving mental health outcomes, using multi-component interventions that address several levels. Above that, researchers seldomly assess acceptability, feasibility and fidelity of such complex interventions, even though they are considered important moderators of study outcomes. Purpose: This study aims at determining aspects of intervention acceptability, feasibility and fidelity of two multi-component cluster RCT interventions among office workers (N=263). Specifically, we want to answer: 1. How did participants experience specific intervention components as facilitating or hindering a movement behavior change? 2. Which factors in the work and non-work context did participants experience as facilitating or hindering a movement behavior change? 3. Were intervention components implemented and perceived as intended? Methods The interventions addressed the individual level (counseling sessions based on cognitive behavior therapy and motivational interviewing), the environmental level (e.g. walking meetings or lunch walks organized by team leaders) and the organizational level (participation during work time, employers encouraging participation). One intervention focused on reducing sedentary behavior, the other on increasing physical activity, compared to a wait-list control group. After completion of the 6-month intervention period, audio-recorded interviews and focus group discussions were performed with participants, health coaches delivering the counseling sessions, team leaders and Human Resource staff). Verbatim transcribed data will be analyzed using thematic analysis (Braun&Clarke 2006). An initial codebook based on a-priori themes of interest will be

Background: To date it is unknown whether movement behavior change interventions among office workers are effective for improving mental health. Therefore, we designed a multi-component cluster RCT among office workers (N=263). One intervention group focused on reducing sedentary behavior (SED), the other on increasing moderate to vigorous physical activity (MVPA) compared to a wait-list control group. Based on ecological models of health behavior, intervention components addressed the individual (counseling using cognitive behavioral therapy (CBT) and motivational interviewing (MI)), the environmental (group activities such as lunch walks), and the organizational level (companies promoting the interventions internally). Primary outcomes were changes in accelerometer-measured and self-reported SED and MVPA, secondary outcomes were depression and anxiety symptoms, burnout, stress and mental well-being, assessed via validated, web- based questionnaires. Previous analyses using a compositional data analysis (CoDA) approach did not find intervention effects on 24-h movement behavior, i.e., SED, light intensity, moderate or vigorous physical activity. Purpose: This study aims at investigating intervention effects on mental health, i.e., depression and anxiety symptoms, burnout, stress and mental well-being. Secondary aims are to describe those participants that achieved a significant change in accelerometer- and device-measured SED and MVPA in comparison to those that did not, and to investigate whether changes in movement behavior were associated with changes in mental well-being. Methods: Linear mixed model analysis will be performed to analyze effects on mental health, according to the published study protocol. Performing exploratory analyses, quartiles of participants, based on changes in MVPA and SED, will be described on demographic characteristics and compared across quartiles. Change change analyses will investigate whether changes in SED or MVPA are associate

The COVID-19 pandemic has become a public health emergency of international concern, which may have affected lifestyle habits and mental health. Based on national health profile assessments, this study investigated perceived changes of lifestyle habits in response to the COVID-19 pandemic and associations between perceived lifestyle changes and mental health in Swedish working adults. Among 5599 individuals (50% women, 46.3 years), the majority reported no change (sitting 77%, daily physical activity 71%, exercise 69%, diet 87%, alcohol 90%, and smoking 97%) due to the pandemic. Changes were more pronounced during the first wave (April–June) compared to the second (October–December). Women, individuals <60 years, those with a university degree, white-collar workers, and those with unhealthy lifestyle habits at baseline had higher odds of changing lifestyle habits compared to their counterparts. Negative changes in lifestyle habits and more time in a mentally passive state sitting at home were associated with higher odds of mental ill-health (including health anxiety regarding one’s own and relatives’ health, generalized anxiety and depression symptoms, and concerns regarding employment and economy). The results emphasize the need to support healthy lifestyle habits to strengthen the resilience in vulnerable groups of individuals to future viral pandemics and prevent health inequalities in society.

The objective of this study was to explore the stated importance of promoting healthy lifestyle habits (alcohol, eating habits, physical activity and tobacco) by healthcare professionals, and to what extent these attitudes were translated into clinical work. In 2014, healthcare professionals (n = 251) from cardiology departments in two hospitals in Stockholm, Sweden, participated in a cross-sectional descriptive questionnaire-based survey. The questionnaire included topics regarding stated importance and clinical work undertaken to promote healthy lifestyle habits. Personal and organisational factors of potential importance, expectations and future work were also explored. To analyse differences in stated importance and clinical work within and between lifestyle factors, comparisons of proportions were performed with 99% confidence intervals (CI). Relationships between stated importance and clinical work were investigated using logistic regression. The majority of healthcare professionals stated that it was 'very important' to promote healthy lifestyle habits among patients in general (69%-94%) and in their own clinical work (63%-80%). Despite this, always asking questions (18%-41%) or providing counselling (11%-23%) regarding lifestyle habits was reported to be rare. Overall, tobacco cessation was considered the most important behavioural change and was more often included in clinical work compared to promoting physical activity, healthy eating habits and limiting alcohol use. Clinical work was mainly influenced by to what extent the healthcare professional perceived clear organisational routines and objectives. In conclusion, we observed a gap between stated importance and clinical work in the promotion of healthy lifestyle habits among healthcare professionals. There were differences between lifestyle factors, indicating that work with tobacco cessation is the most established. Our results suggest that in order to promote patients' lifestyle habits in line with e, At the time of Amanda Ek's dissertation this article was a manuscript., Ischemisk hjärtsjukdom

Aims: The purpose of this research was to describe the current prevalence and historic trends in overweight, obesity and severe obesity in Sweden. Methods: Data on BMI, age, gender, education and geographic region were obtained in n=447,925 Swedish adults through a nationwide screening test (1995?2017). To account for sampling variations, we quantified prevalence estimates and time trends using standardized values (direct method) to all 18?74-year-old Swedes, using nationwide databases. Rates of overweight (BMI ?25 kg/m2), obesity (BMI ?30 kg/m2) and severe obesity (BMI ?35 kg/m2) were calculated across gender, age, education and geographic categories. Years were grouped into two-year sampling periods (except the first period where we used three years) for increased power. We used multivariable logistic regression to quantify independent associations between age, gender, education and region with obesity development and current prevalence rates. Results: In 2016/17 the unstandardized prevalence of overweight, obesity and severe obesity were 55.1%, 16.6% and 4.2%, respectively. Factors associated with a higher obesity prevalence were male gender, older age, lower education and residing in a rural region (all P<0.001). Between 1995 and 2017 the prevalence of severe obesity increased by 153%, compared to obesity (+86%) and overweight (+23%). While there were similar increases in obesity across gender and age groups, people with low education (vs high) and rural areas (vs urban) had a higher prevalence increase (both P<0.001). Conclusions: Rates of overweight, obesity and severe obesity have increased markedly in Swedish adults since 1995. Priority groups for prevention efforts include individuals with low education and those living in rural areas., HPI-gruppen