Care needs of patients with the post-COVID syndrome in Dutch general practice: an interview study among patients and general practitioners.

Background: The post-COVID syndrome (PCS) has a large impact on an individual's daily life. The wide variety of symptoms in PCS patients and the fact that it is still relatively new makes it difficult for general practitioners (GPs) to recognize, diagnose and treat patients with PCS, leading to difficulties in assessing and fulfilling healthcare needs. It is largely unknown what the experiences of Dutch patients and GPs are with PCS and, therefore, we gained insight into the different aspects of living with PCS and the associated healthcare needs.

Ozone sauna therapy and pulsed electromagnetic field therapy could potentially improve outcome in women with diminished ovarian reserve undergoing assisted reproductive technology.

There are limited treatment options for women with severely diminished ovarian reserve (DOR) who experience repeatedly failed in vitro fertilization (IVF) cycles and with persistently thin endometrial lining thickness (EMT) during frozen embryo transfer cycles. Therefore, a large majority of patients resort to using donor oocytes and gestational carriers. Data from existing animal and human studies suggest that ozone sauna therapy (OST) and pulsed electromagnetic field therapy (PEMF) are emerging as potential therapeutic adjuncts for female reproduction.

Ozone Sauna Therapy (OST) and Pulsed Electromagnetic Field Therapy (PEMF) delivered via the HOCATT machine could improve endometriosis pain along with lowering serum inflammatory markers.

Problem: Endometriosis, a common and challenging condition, is a pelvic inflammatory condition that causes chronic pelvic pain (CPP) and infertility. Even though standard medical therapies and surgeries can help CPP, a large percentage of women remain symptomatic following the conventional treatments. Thus, there is a need to study new non-traditional therapeutic adjuncts in this patient population to improve their quality of life.

Misspecification of confounder-exposure and confounder-outcome associations leads to bias in effect estimates.

Background: Confounding is a common issue in epidemiological research. Commonly used confounder-adjustment methods include multivariable regression analysis and propensity score methods. Although it is common practice to assess the linearity assumption for the exposure-outcome effect, most researchers do not assess linearity of the relationship between the confounder and the exposure and between the confounder and the outcome before adjusting for the confounder in the analysis.

The Economic Burden of Chromosome Translocations and the Benefits of Enhanced Screening for Cattle Breeding.

The cattle breeding industry, through both of its derivatives (dairy and beef), provides 81% of milk and 22% of meat required globally. If a breeding bull is sub-fertile, this impacts herd conception and birth rates, and it is generally accepted that having a proactive genetic screening programme can prevent further losses. Chromosome translocations are the leading genetic cause of infertility in livestock and, in cattle, this extends beyond the classical 1:29 to other Robertsonian translocations (RobTs) and to reciprocal translocations (RECTs).

Development of Prediction Model for the Prognosis of Sick Leave Due to Low Back Pain.

Objective: The aim of this study was to develop a prediction model for the prognosis of sick leave due to low back pain (LBP).

Methods: This is a cohort study with 103 employees sick-listed due to non-specific LBP and spinal disc herniation. A prediction model was developed based on questionnaire data and registered sick leave data with follow up of 180 days.

Effect of Partial Sick Leave on Sick Leave Duration in Employees with Musculoskeletal Disorders.

Objective This study determined if partial sick leave was associated with a shorter duration of sick leave due to musculoskeletal disorders (MSD) based on routinely collected health data in Dutch sick-listed employees. Furthermore, the effect of timing of partial sick leave on sick leave duration was determined. Methods This cohort study consisted of 771 employees with partial sick leave and 198 employees with full-time sick leave who participated in an occupational health check, and had sick leave due to MSD for minimally 4 weeks and were diagnosed by an occupational physician.

Development of Prediction Models for Sick Leave Due to Musculoskeletal Disorders.

Purpose The aim of this study was to develop prediction models to determine the risk of sick leave due to musculoskeletal disorders (MSD) in non-sick listed employees and to compare models for short-term (i.e., 3 months) and long-term (i.

Performance modeling and valuation of snow-covered PV systems: examination of a simplified approach to decrease forecasting error.

The advent of modern solar energy technologies can improve the costs of energy consumption on a global, national, and regional level, ultimately spanning stakeholders from governmental entities to utility companies, corporations, and residential homeowners. For those stakeholders experiencing the four seasons, accurately accounting for snow-related energy losses is important for effectively predicting photovoltaic performance energy generation and valuation. This paper provides an examination of a new, simplified approach to decrease snow-related forecasting error, in comparison to current solar energy performance models.

Prediction models to identify workers at risk of sick leave due to low-back pain in the Dutch construction industry.

Objective The aim of this study was to develop a prediction model based on variables measured in occupational health checks to identify non-sick listed workers at risk of sick leave due to non-specific low-back pain (LBP). Methods This cohort study comprised manual (N=22 648) and non-manual (N=9735) construction workers who participated in occupational health checks between 2010 and 2013. Occupational health check variables were used as potential predictors and LBP sick leave was recorded during 1-year follow-up.

Participation in and adherence to physical exercise after completion of primary cancer treatment.

Background: The purpose of this study was  to identify demographic, clinical, psychosocial, physical and environmental factors that are associated with participation in and adherence to a combined resistance and endurance exercise program among cancer survivors, shortly after completion of primary cancer treatment. Data from the randomized controlled Resistance and Endurance exercise After ChemoTherapy (REACT) study were used for this study.

Methods: The participants of the REACT study were randomly allocated to either a high intensity (HI) or low-to-moderate intensity (LMI) exercise program.