Cultural background, gender, and institutional status have an effect on the evaluation of multi-disciplinary participatory action research - Table 2

<p>Cultural background, gender, and institutional status have an effect on the evaluation of multi-disciplinary participatory action research</p> - Table

Pearson correlations of nationality, gender and institutional status across participative steps and different assessment parameters (S1 Table).

<p>Pearson correlations of nationality, gender and institutional status across participative steps and different assessment parameters (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0196790#pone.0196790.s001" target="_blank">S1 Table</a>).</p

Assessment of selected analytical steps undertaken across participatory research actions (Steps (1) Mapping stakeholders across FVC; (2) Inventorying FVC constraints & strategies; (3) Identifying food security criteria; (4) Identifying 3–5 UPS per FVC component; (5) Prioritising UPS in CSS for testing; (6) UPS groups formation; (7) UPS implementation, testing, adaptation; (8) Creation of potential future scenarios; (9) UPS monitoring & impact assessment; (10) UPS out and up-scaling.

<p>Assessment of selected analytical steps undertaken across participatory research actions (Steps (1) Mapping stakeholders across FVC; (2) Inventorying FVC constraints & strategies; (3) Identifying food security criteria; (4) Identifying 3–5 UPS per FVC component; (5) Prioritising UPS in CSS for testing; (6) UPS groups formation; (7) UPS implementation, testing, adaptation; (8) Creation of potential future scenarios; (9) UPS monitoring & impact assessment; (10) UPS out and up-scaling.</p

Intensity levels of participation [23, modified].

<p>Intensity levels of participation [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0196790#pone.0196790.ref023" target="_blank">23</a>, modified].</p

Significance of differences in gender and status across participative steps and different assessment parameters (S1 Table).

<p>Significance of differences in gender and status across participative steps and different assessment parameters (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0196790#pone.0196790.s001" target="_blank">S1 Table</a>).</p

Impact of early- and adult-life socioeconomic circumstances on physical inactivity

<p><strong>Background:</strong> Physical inactivity has been identified as one of the major risk factors for mortality causing an estimated 3.2 million deaths in the world per year. To reduce mortality risk, adopting physical activity (PA) most days is considered a public health guideline for physical activity participation in adulthood. Here we assessed the predictive value of childhood socioeconomic position on the likelihood to reach the PA guidelines and examined whether adulthood socioeconomic position explains this association.</p> <p><strong>Methods:</strong> Data were retrieved from 18,467 (40,228 observations) adults aged 50 years and older across 12 European countries of the longitudinal and cross-national Survey of Health Ageing and Retirement in Europe (SHARE). The associations between childhood socioeconomic position (assessed using retrospective life course information) and the self-reported PA recommendations attainment were estimated using mixed effects logistic regression. Model was adjusted for potential confounders and for the mediating effects of education and main occupation class.</p> <p><strong>Findings:</strong> Participants born in the most disadvantaged (OR=1.18), disadvantaged (OR=1.29), and neutral (OR=1.16) childhood socioeconomic position had a greater odds of not reaching the PA recommendations, compared with participants born in the most advantaged socioeconomic position. The effect of the most disadvantaged childhood socioeconomic position strengthened with ageing (OR=1.02). Education attainment and, to a lesser extent, main occupation class, mediated 76% of these associations.</p> <p><strong>Discussion:</strong> These findings suggested that education and main occupation class largely explained the deleterious effect of childhood socioeconomic position on the odds of reaching the PA recommendations. Potential implications for public health policy will be outlined.</p