Teresa Holmberg

Total sitting time, leisure time physical activity and risk of hospitalization due to low back pain: The Danish Health Examination Survey cohort 2007–2008

Aims: This study aimed to test the hypotheses that a high total sitting time and vigorous physical activity in leisure time increase the risk of low back pain and herniated lumbar disc disease. Methods: A total of 76,438 adults answered questions regarding their total sitting time and physical activity during leisure time in the Danish Health Examination Survey 2007–2008. Information on low back pain diagnoses up to 10 September 2015 was obtained from The National Patient Register. The mean follow-up time was 7.4 years. Data were analysed using Cox regression analysis with adjustment for potential confounders. Multiple imputations were performed for missing values. Results: During the follow-up period, 1796 individuals were diagnosed with low back pain, of whom 479 were diagnosed with herniated lumbar disc disease. Total sitting time was not associated with low back pain or herniated lumbar disc disease. However, moderate or vigorous physical activity, as compared to light physical activity, was associated with increased risk of low back pain (HR = 1.16, 95% CI: 1.03–1.30 and HR = 1.45, 95% CI: 1.15–1.83). Moderate, but not vigorous physical activity was associated with increased risk of herniated lumbar disc disease. Conclusions: The results suggest that total sitting time is not associated with low back pain, but moderate and vigorous physical activity is associated with increased risk of low back pain compared with light physical activity.

A New Fracture Risk Assessment Tool (FREM) Based on Public Health Registries

Some conditions are already known to be associated with an increased risk of osteoporotic fractures. Other conditions may also be significant indicators of increased risk. The aim of the current study was to identify conditions for inclusion in a fracture prediction model (fracture risk evaluation model [FREM]) for automated case finding of high‐risk individuals of hip or major osteoporotic fractures (MOFs). We included the total population of Denmark aged 45+ years (N = 2,495,339). All hospital diagnoses from 1998 to 2012 were used as possible conditions; the primary outcome was MOFs during 2013. Our cohort was split randomly 50/50 into a development and a validation dataset for deriving and validating the predictive model. We applied backward selection on ICD‐10 codes (International Classification of Diseases and Related Health Problems, 10th Revision) by logistic regression to develop an age‐adjusted and sex‐stratified model. The FREM for MOFs included 38 and 43 risk factors for women and men, respectively. Testing FREM for MOFs in the validation cohort showed good accuracy; it produced receiver‐operating characteristic (ROC) curves with an area under the ROC curve (AUC) of 0.750 (95% CI, 0.741 to 0.795) and 0.752 (95% CI, 0.743 to 0.761) for women and men, respectively. The FREM for hip fractures included 32 risk factors for both genders and showed an even higher accuracy in the validation cohort as AUCs of 0.874 (95% CI, 0.869 to 0.879) and 0.851 (95% CI, 0.841 to 0.861) for women and men were found, respectively. We have developed and tested a prediction model (FREM) for identifying men and women at high risk of MOFs or hip fractures by using solely existing administrative data. The FREM could be employed either at the point of care integrated into electronic patient record systems to alert physicians or deployed centrally in a national case‐finding strategy where patients at high fracture risk could be invited to a focused DXA program.

Effectiveness of the settings-based intervention Shaping the Social on preventing dropout from vocational education: A Danish non-randomized controlled trial

BackgroundLack of formal education is an important social determinant of health inequality and represents a public health problem. School dropout is particularly common in vocational education; however few prevention programs targeting dropout in the vocational school setting have been evaluated. The purpose of the present study was to test the effect on school dropout of a settings-based intervention program (named Shaping the Social) that targeted the school organization in order to create social and supportive learning environments.MethodsA non-randomized controlled design including four large intervention schools and six matched-control schools was used. The target population was students in technical and agricultural vocational education, which is provided to students from age 16. Students were enrolled at school start. Register-based data (n = 10,190) was used to assess the effect on school dropout during a 2-year period. Odds ratios (OR) and 95% confidence intervals (CI) were calculated in logistic regression models, adjusting for age, sex, ethnicity, parental income, prior school dropout and type of basic course. Student survey (n = 2396) at 10-week follow-up was used to examine wellbeing at school (four subscales: school connectedness, student support, teacher relatedness, and valuing the profession) which was the hypothesized proximal intervention effect. As a secondary aim, we examined how the student wellbeing factors were associated with school dropout, independently of the intervention, and we explored whether the student wellbeing factors were potential mediators.ResultsThe present study showed an intervention effect on school dropout with dropout rates lower in intervention schools (36%) than control schools (40%) (OR = 0.86, 95% CI: 0.74, 0.99). We had no attrition on the dropout outcome. School connectedness mediated the intervention effect; no significant mediation effects were found for student support, teacher relatedness, and valuing the profession. Independently of the intervention, each student wellbeing factor prevented dropout.ConclusionsFindings from this study suggest that a comprehensive, multicomponent school-based intervention could prevent dropout from vocational education by promoting school connectedness; nevertheless, the dropout rate remained high. Our results point to the need to explore how to further improve the wellbeing at school among young people in vocational education.Trials registrationISRCTN, ISRCTN57822968. Registered 16 January 2013 (retrospective registered).

The association between supportive relatives and lower occurrence of anxiety and depression in heart patients: Results from a nationwide survey:

Background: Approximately 30–40% of heart patients develop anxiety and/or depression, which might influence recovery and long-term survival. Research has suggested that support from relatives may decrease anxiety and depression among heart patients; however, the results are inconsistent and often based on small study populations. Aim: The paper aimed to investigate the association between having supportive relatives and the occurrence of anxiety and depression in heart patients. Methods: A population-based cross-sectional study among Danish patients diagnosed with ischemic heart disease, atrial fibrillation, heart failure, or heart valve disease. Presence of supportive relatives was measured as the degree to which the patients felt that they had relatives they could count on, while symptoms of anxiety and depression were measured by the Hospital Anxiety and Depression Scale (HADS). Multiple logistic regression analyses accounting for confounders were used to examine the association between supportive relatives and anxiety/depression. Results: The questionnaire was answered by 2496 heart patients, corresponding to 50% of the invited population. Patients with low or some degree of supportive relatives had a higher odds ratio (OR) of anxiety than patients with a high degree (OR = 2.20, 95% confidence interval (CI): 1.28–2.37; OR = 1.75, 95% CI: 1.57–3.08, respectively). Likewise, patients with low or some degree of supportive relatives had a higher OR of depression than patients with a high degree (OR = 1.96, 95% CI: 1.40–2.66; OR = 1.93, 95% CI: 1.37–2.60, respectively). Conclusions: The presence of supportive relatives was found to be associated with lower occurrence of anxiety and depression. Health professionals should focus on including relatives in the treatment and rehabilitation of heart patients.

How to measure experiences of healthcare quality in Denmark among patients with heart disease? The development and psychometric evaluation of a patient-reported instrument

Objective Measuring the quality of care as experienced by patients is increasingly recognised as a way of improving healthcare services. However, disease-specific measures that take the patient journey into account are needed. This paper presents the development of such a measure for patients with heart disease and details the psychometric evaluation. Design The questionnaire was developed based on a literature review, qualitative interviews and a pilot-test. The psychometric evaluation of the measure was assessed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), Cronbach’s alpha coefficient and differential item functioning analysis with data from a population-based survey. Setting Denmark in 2013–2014. Study participants Nineteen heart patients, four relatives and eight health professionals participated in qualitative interviews in the development phase, and 15 patients participated in the pilot-test. The questionnaire was subsequently sent to a random sample of 5000 heart patients who were diagnosed in 2013. Results The comprehensive development phase and pilot-testing contributed to high content validity of the questionnaire. Eligible questionnaire responses were received from 2496 patients. EFA indicated a nine-factor model: communication at the hospital, communication with the general practitioner, information on disease and treatment, information on psychosocial aspects, rehabilitation/support, organisation, medication, involvement of relatives and consideration of comorbidity. CFA confirmed the proposed factor structure (eg, goodness-of-fit index=0.88, adjusted goodness-of-fit index=0.86, root mean square error of approximation=0.05), and Cronbach’s alpha coefficient revealed good internal consistency of the factors (range: 0.69–0.93). Conclusions The results suggest that this disease-specific patient-reported experience measure is of good quality when measuring the quality of care among heart patients. The inclusion of patients in the development phase contributed to high content validity, and subsequent psychometric evaluation found high construct validity and internal consistency. This measure may be especially relevant when seeking information about which aspects of care require improvement and the impact on health outcomes.