Strategies to recruit people with selected nationalities for the interview survey GEDA Fokus

Background

People with migration history (PMH) are underrepresented within health monitoring at Robert Koch Institute (RKI). To better describe the health status of PHM, the RKI is currently conducting the health interview survey GEDA Fokus with different migrant groups. Aim of this contribution is to present which sub-groups in this sequential mixed-mode survey design are reached by which mode.

Methods

People aged 18-70 years with Croatian (hr), Italian (it), Polish (pl), Syrian (sy) or Turkish (tr) nationality were drawn out of 99 residents’ registration offices all over Germany (N = 33,436). Study persons were invited sequentially to participate online (saq-web), paper-based(saq-paper) and in person (CAPI) or by telephone (CATI) in Arabic, Croatian, German, Italian, Polish or Turkish. Saq-web was available in German only or bilingual. Data collection took place from November 2021 to April 2022. Per nationality, 1,200 participants were recruited.

Results

As of 25th of April, 6,197 people took part, most often per saq-web (49%), which was less often used among participants aged ≥ 50 years (35% vs. 56%). Pl participants used saq-web most often in German only (55%), sy participants most often used the bilingual version (77%). Saq-paper was more often used by participants aged ≥ 50 years (41% vs. 22%) and less often by tr (21%) and sy (24%) participants. Participants with it nationality most often took part on their own initiative (saq) (92%), while tr (33%) and pl (28%) participants were recruited via personal contact (CAPI/ CATI) more often.

Conclusions

Preliminary results show that offering multiple modes of administration helps to reach different sub-groups. Personal contact contributes to reach those not directly taking part on their own initiative. The opportunity to utilize the bilingual version of the questionnaire was well accepted, especially among those with presumably shorter duration of residence in Germany.

Key messages

The influence of social support on subjective health among people with selected citizenships

Background

Social support as a psychosocial resource has a significant impact on health. However, data on the association between social support and subjective health among people with a migration history is scarce. The aim of this analysis was to examine this association among a sample of people with selected citizenships in consideration of socio-demographic and migration-related factors.

Methods

Data from the project “Improving Health Monitoring in Migrant Populations (IMIRA)” was used, including people with Croatian, Polish, Romanian, Syrian, and Turkish citizenship. Descriptive and logistic regression analyses were conducted to analyse the effect of socio-demographic (gender, age, socio-economic status (SES)) and migration-related factors (length of residence, residence status, German language proficiency) on the association between social support and subjective health (very good/good).

Results

A total of 60.8% of participants with a low level of social support, indicated good subjective health in comparison to 78.8% among those who reported strong support. Participants with a length of residence of over 20 years (aOR=0,29) and (very) poor German language proficiency (aOR=0,39) were less likely to report good health. A high SES had the strongest impact on good subjective health (aOR=5,42).

Conclusions

Overall, the results confirm the findings for the general population in a sample of people with selected citizenships. The fact that people with a migration history more often face structural and health related barriers and that the existence of resources is helpful in overcoming these, a differentiated consideration of the relationship between social support and subjective health seems necessary in order to establish targeted prevention measures.

Key messages

• Among people with selected citizenships, good social support has a positive impact on subjective health.

• Results remain consistent when considering socio-economic and migration-related factors.

Intercomparison of nanodosimetric distributions in nitrogen simulated with Geant4 and PTra track structure codes

To facilitate the use of Geant4-DNA for radiation transport simulations in micro- and nanodosimeters, which are physically operated with tissue-equivalent gases such as nitrogen (and propane), this work aims to extend the cross section data available in Geant4-DNA to include those of nitrogen for electron energies ranging from 1 MeV down to the ionisation threshold. To achieve this, interaction cross section data for nitrogen that have been used with the in-house PTB PTra track structure code have been implemented in the current state-of-the-art Geant4-DNA simulation toolkit. An intercomparison has been performed between the two codes to validate this implementation. To quantify the agreement between the cross section models for nitrogen adopted in PTra and those implemented in Geant4-DNA, the simulation results of both codes were analysed using three physical parameters describing the ionisation cluster size distribution (ICSD): mean ionisation cluster size, variance of the cluster size and the probability to obtain a single ionisation within the target. Statistical analysis of the results indicates that the interaction cross section models for nitrogen used in PTra (elastic scattering, impact ionisations and electronic excitations) have been successfully implemented in Geant4-DNA. In addition, simulated ICSDs were compared to those measured with the Jet Counter nanodosimeter for energies between 100 and 2000 eV. For greater energies, the ICRP data for LET and particle range were used as a reference. The modified Geant4-DNA code and data successfully passed all these benchmarks fulfilling the requirement for their public release in the next version of the Geant4 toolkit.

ASSESSING THE CONTRIBUTION OF CROSS-SECTIONS TO THE UNCERTAINTY OF MONTE CARLO CALCULATIONS IN MICRO- AND NANODOSIMETRY

Within EURADOS Working Group 6 'Computational Dosimetry', the micro and nanodosimetry task group 6.2 has recently conducted a Monte Carlo (MC) exercise open to participants around the world. The aim of this exercise is to quantify the contribution to the uncertainty of micro and nanodosimetric simulation results arising from the use of different electron-impact cross-sections, and hence physical models, employed by different MC codes (GEANT4-DNA, PENELOPE, MCNP6, FLUKA, NASIC and PHITS). Comparison of the participants' simulation results for both micro and nanodosimetric quantities using different MC codes was the first step of the exercise. The deviation between results is due to different cross-sections but also different tracking methods and particle transport cut-off energies. The second step of the exercise will involve using identical cross-section datasets to account only for the other variations in the first step, thus enabling the determination of the uncertainty contribution due to different cross-sections. This paper presents a comparison of the MC simulation results obtained in the first part of the exercise. For the microdosimetric simulations, particularly in the configuration where the electron source is contained within the micrometric target, the choice of MC code has a small influence on the results. For the nanodosimetric results, on the other hand, the mean ionisation cluster size distribution (ICSD) was sensitive to the physical models used in the MC codes. The ICSD was therefore chosen to study the influence of different cross-section data on the uncertainty of simulation results.

CONSIDERATIONS ON THE TARGET SIZE IN A WALL-LESS NANODOSIMETER

In nanodosimetry, the ionization component of charged particle track structure is characterized by measuring the frequency distribution of ionizations in target volumes that simulate nanometric sites in liquid water. For the Ion Counter nanodosimeter at PTB, the sensitive volume is defined by the electrical field and the extraction aperture. In this paper, a procedure is presented to define a cylindrical effective measurement target based on the second moments of the detection efficiency map. An analytical model of the efficiency map is developed to investigate the dependence of the simulated site size on the nanodosimeter's operating parameters. Within the limits of the simplifying assumptions, the model gives a reasonable approximation of the efficiency map.