Dienst van SURF
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Background Evidence about the impact of the COVID-19 pandemic on existing health inequalities is emerging. This study explored differences in mental health, sense of coherence (SOC), sense of community coherence (SOCC), sense of national coherence (SONC), and social support between low and high socioeconomic (SES) groups, and the predictive value of these predictors for mental health. participants and procedure A cross-sectional study was conducted using an online survey in the Netherlands in October 2021, comprising a total of 91 respondents (n = 41, low SES; n = 50, high SES). results There were no differences in mental health, SOC, SOCC, SONC, and social support between the groups. SOC was a predictor for mental health in both groups and SOCC for the low SES group. conclusions We found that both SOC and SOCC predict mental health during the pandemic. In the article we reflect on possible pathways for strengthening these resources for mental health.
Background Understanding the perceptions of lower socioeconomic groups towards workplace health promotion is important because they are underrepresented in workplace health promotion activities and generally engage in unhealthier lifestyle behaviour than high SEP groups. This study aims to explore interest in workplace health promotion programmes (WHPPs) among employees with a low and medium level of education regarding participation and desired programme characteristics (i.e. the employer’s role, the source, the channel, the involvement of the social environment and conditions of participation). Methods A mixed-methods design was used, consisting of a questionnaire study (n = 475) and a sequential focus group study (n = 27) to enrich the questionnaire’s results. Multiple logistic regression analysis was performed to analyse the associations between subgroups (i.e. demographics, weight status) and interest in a WHPP. The focus group data were analysed deductively through thematic analysis, using MAXQDA 2018 for qualitative data analysis. Results The questionnaire study showed that 36.8% of respondents were interested in an employer-provided WHPP, while 45.1% expressed no interest. Regarding subgroup differences, respondents with a low level of education were less likely to express interest in a WHPP than those with a medium level of education (OR = .54, 95%, CI = .35–.85). No significant differences were found concerning gender, age and weight status. The overall themes discussed in the focus groups were similar to the questionnaires (i.e. the employer’s role, the source, the channel, the involvement of the social environment and conditions of participation). The qualitative data showed that participants’ perceptions were often related to their jobs and working conditions. Conclusions Employees with a medium level of education were more inclined to be interested in a WHPP than those with a low level of education. Focus groups suggested preferences varied depending on job type and related tasks. Recommendations are to allow WHPP design to adapt to this variation and facilitate flexible participation. Future research investigating employers’ perceptions of WHPPs is needed to enable a mutual understanding of an effective programme design, possibly contributing to sustainable WHPP implementation.
Specific approaches are needed to reach and support people with a lower socioeconomic position (SEP) to achieve healthier eating behaviours. There is a growing body of evidence suggesting that digital health tools exhibit potential to address these needs because of its specific features that enable application of various behaviour change techniques (BCTs). The aim of this scoping review is to identify the BCTs that are used in diet-related digital interventions targeted at people with a low SEP, and which of these BCTs coincide with improved eating behaviour. The systematic search was performed in 3 databases, using terms related to e/m-health, diet quality and socioeconomic position. A total of 17 full text papers were included. The average number of BCTs per intervention was 6.9 (ranged 3–15). BCTs from the cluster ‘Goals and planning’ were applied most often (25x), followed by the clusters ‘Shaping knowledge’ (18x) and ‘Natural consequences’ (18x). Other frequently applied BCT clusters were ‘Feedback and monitoring’ (15x) and ‘Comparison of behaviour’ (13x). Whereas some BCTs were frequently applied, such as goal setting, others were rarely used, such as social support. Most studies (n = 13) observed a positive effect of the intervention on eating behaviour (e.g. having breakfast) in the low SEP group, but this was not clearly associated with the number or type of applied BCTs. In conclusion, more intervention studies focused on people with a low SEP are needed to draw firm conclusions as to which BCTs are effective in improving their diet quality. Also, further research should investigate combinations of BCTs, the intervention design and context, and the use of multicomponent approaches. We encourage intervention developers and researchers to describe interventions more thoroughly, following the systematics of a behaviour change taxonomy, and to select BCTs knowingly.