Eye disease and vision impairment are known to be associated with reduced mental well-being, but less is known about the well-being of people with near-normal levels of vision. Here, we examined the association between self-reported eyesight and mental well-being, controlling for eye disease, mental ill-health and demographic factors, for adults with a wide range of age and vision.

Population-based cross-sectional study.

7705 adults (56% women; median age 49 years, range 16–104 years) who participated in the Health Survey for England 2013, self-reported their eyesight status and completed the Warwick-Edinburgh Mental Well-Being Scale.

Mental well-being, controlling for self-reported mental ill health, self-reported eye disease, age, sex, socioeconomic group and ethnic origin.

Poorer self-reported eyesight was strongly associated with lower mental well-being (univariate linear model, F_(4,7700)=94.7, p2=0.047). Relative to reporting ‘poor’ vision, each subsequent level of vision predicted better well-being, with the exception of ‘fair’ vision, which was not significantly different from ‘poor’ reported vision. This association remained significant after controlling for self-reported mental ill health, self-reported eye disease, age, sex, socioeconomic group and ethnic origin.

Self-reported eyesight is strongly associated with mental well-being, irrespective of whether people have vision impairment or a diagnosed eye disease. This relationship exists in people with and without mental ill-health. Mental well-being should be considered in people with reduced eyesight, regardless of whether they have a diagnosed eye disease or mental ill-health. Interventions which improve vision may have a positive impact on mental well-being.

Rehablines is a further use databank that was established to efficiently conduct high-quality research into patient characteristics and underlying disease processes, provide insight into treatment effects and efficiency and support personalised treatment in rehabilitation medicine.

Adult patients (age ≥18) receiving rehabilitation care at the University Medical Center Groningen, Center for Rehabilitation, are included. Inclusion is ongoing. As of December 2024, 1080 participants have been included, receiving diverse types of rehabilitation such as neurorehabilitation, orthopaedic rehabilitation, oncology rehabilitation, pain rehabilitation and rehabilitation for chronic illnesses.

The databank enables reuse of a wide array of routinely collected clinical data for research and educational purposes. Data included are from electronic health records, patient-reported outcomes, training equipment and physical measurements. A successful pilot was conducted with the pain rehabilitation team, and the procedure has been implemented across all adult rehabilitation teams.

The databank aims to expand to include paediatric rehabilitation by 2025. Future plans also involve linking data with other national and international databanks to enhance research opportunities and provide comprehensive insights into rehabilitation outcomes.

The Rehablines databank is registered with ClinicalTrials.gov (NCT06750601) and the UMCG Research Data Catalogue (https://doi.org/10.34760/668fd22e4c7be).

For transgender and gender-diverse (TGD) people, it is known that there is a lack of healthcare professionals with experience in trans healthcare. This may result in either inadequate provision of healthcare or in an increased seeking of adequate trans healthcare. Little is known about healthcare services utilisation and resulting costs in treatment-seeking TGD people with gender incongruence or gender dysphoria (GIC/GD). Therefore, the aim of this study was to determine the excess costs associated with GIC/GD in Germany.

In a secondary analysis, baseline data of a randomised controlled trial with a sample of TGD people with GIC/GD were combined with data of a telephone survey conducted in a representative sample of the general German population. The data sets were matched using entropy balancing. Self-reported healthcare services utilisation was valued by standardised unit costs for the German healthcare system, and absenteeism from work and unemployment were valued with the gross hourly wage of persons in manufacturing and services sectors.

TGD people with GIC/GD living at least 50 km outside Hamburg in the federal state Bremen, Mecklenburg-Western Pomerania, Lower Saxony or Schleswig Holstein and the German general adult population.

Treatment-seeking TGD people with GIC/GD (n=167) and people of the general German population (n=2811).

6-month excess healthcare costs and indirect costs from a societal perspective were calculated for the year 2020 using two-part models with logit specification for the first part and a generalised linear model with gamma family and log link function for the second part.

The total 6-month excess costs associated with GIC/GD from a societal perspective were estimated to be 672 (95% CI: –3315 to 4657; p=0.741) per person. The direct excess healthcare costs were estimated to be 2 (–1115 to 1119; p=0.977) and the indirect excess costs due to absenteeism from work and unemployment were 669 (–3031 to 4370; p=0.723) per person. The total excess costs associated with GIC/GD in trans men, trans women and non-binary people were estimated to be –5572 (–12 232 to 1088), 4238 (–1694 to 10 170) and 3041 (–4268 to 10 351) per person (all with p>0.05), respectively.

The total 6-month costs in TGD people with GIC/GD did not differ statistically significantly from the costs in the general German population. Indirect excess costs due to absenteeism from work accounted for the largest part of the excess costs associated with GIC/GD, yet with wide 95% CIs. Potential causes of absenteeism from work, such as experienced or expected discrimination, need to be identified and addressed so that TGD people can experience a healthy work environment.

NCT04290286.