sj-pdf-3-smo-10.1177_20503121231220216 – Supplemental material for Does adult socioeconomic status mediate the relationship between adolescent socioeconomic status and adult quality of life?

Supplemental material, sj-pdf-3-smo-10.1177_20503121231220216 for Does adult socioeconomic status mediate the relationship between adolescent socioeconomic status and adult quality of life? by Azam Biderafsh, Abbas Rahimi foroushani and Saharnaz Nedjat in SAGE Open Medicine</p

sj-docx-1-smo-10.1177_20503121231220216 – Supplemental material for Does adult socioeconomic status mediate the relationship between adolescent socioeconomic status and adult quality of life?

Supplemental material, sj-docx-1-smo-10.1177_20503121231220216 for Does adult socioeconomic status mediate the relationship between adolescent socioeconomic status and adult quality of life? by Azam Biderafsh, Abbas Rahimi foroushani and Saharnaz Nedjat in SAGE Open Medicine</p

sj-pdf-2-smo-10.1177_20503121231220216 – Supplemental material for Does adult socioeconomic status mediate the relationship between adolescent socioeconomic status and adult quality of life?

Supplemental material, sj-pdf-2-smo-10.1177_20503121231220216 for Does adult socioeconomic status mediate the relationship between adolescent socioeconomic status and adult quality of life? by Azam Biderafsh, Abbas Rahimi foroushani and Saharnaz Nedjat in SAGE Open Medicine</p

Estimated marginal odds ratios with 95% confidence intervals after applying different thresholds for weight trimming ranging from the 95^th to the 99.9^th distribution quantile of the stabilized weights.

<p>Estimated marginal odds ratios with 95% confidence intervals after applying different thresholds for weight trimming ranging from the 95^th to the 99.9^th distribution quantile of the stabilized weights.</p

Characteristics of MS cases and controls, Tehran, 2013–2015.

<p>Characteristics of MS cases and controls, Tehran, 2013–2015.</p

Pedestrian road crossing behavior (PEROB): Development and psychometric evaluation

<p><b>Objective</b>: The aim of this study was to develop a theory-based questionnaire to measure road crossing attitudes and potentially risky pedestrian behavior.</p> <p><b>Methods</b>: A cross-sectional validation study was carried out on a total sample of 380 young adults aged 18 to 25 years who live in Tehran, Iran. Data were collected from January 27 to May 20, 2015, using a self-administered structured pool of 76 items that was developed from research on the theory of planned behavior. A panel of subject-matter experts evaluated the items for content validity index and content validity ratio, and the questionnaire was pretested. Exploratory factor analysis (EFA) was performed to test construct validity. The Cronbach's alpha coefficient and intraclass correlation coefficient (ICC) analyses were done to assess internal consistency and stability of the scale.</p> <p><b>Results</b>: From the initial 76 items, 38 items were found to be appropriate for assessing the pedestrian road crossing behavior (PEROB) of young adults in Tehran. A 9-factor solution revealed an exploratory factor analysis that jointly accounted for 63.8% of the variance observed. Additional analyses also indicated acceptable results for the internal consistency with Cronbach's alpha value ranging from 0.67 to 0.88 and ICC values ranging from 0.64 to 0.96.</p> <p><b>Conclusions</b>: This psychometric evaluation of a self-administered instrument resulted in a reliable and valid instrument to assess young adult pedestrians' self-reported road crossing attitudes and behaviors in Tehran. Further development of the instrument is needed to assess its applicability to other road users, particularly older pedestrians.</p

Flow diagram for study selection process.

<p>The figure demonstrates how finally included studies were selected from primary search records.</p

Meta-analysis of MMP7 overexpression association with clinicopathological parameters in included studies.

<p><i>OR</i>: pooled odds ratio; <i>CI</i>: confidence interval; <i>Z</i>: test value for fixed/random effect model; <i>P</i>_<i>Z</i>: statistical <i>P value</i> for Z test; <i>P</i>_<i>Q</i>: statistical <i>P value</i> for heterogeneity Q test. <i>I</i>^<i>2</i><i>%</i>: quantitative metric I²test.</p><p>^a Fixed effect model OR (95% CI)</p><p>^b random effect model OR (95% CI)</p><p>Meta-analysis of MMP7 overexpression association with clinicopathological parameters in included studies.</p

Forrest plot of overall hazard ratio estimate for MMP7 impact on GC survival.

<p>The middle point of the diamond represents the pooled HR and its left and right corners represent 95% CI. Horizontal lines belong to individual studies; the middle point and line length represent the corresponding study`s extracted HR and 95% CI. The area of box tagged with each line represents the individual study`s weight of contribution to the meta-analysis.</p

Subgroup meta-analysis results for MMP7 impact on Gastric Cancer survival.

<p><i>HR</i>: pooled hazard ratio; <i>CI</i>: confidence interval; <i>Z</i>: test value for fixed/random effect model; <i>P</i>_<i>Z</i>: statistical <i>P value</i> for Z test; <i>P</i>_<i>Q</i>: statistical <i>P value</i> for heterogeneity Q test.</p><p>^a Fixed effect model HR (95% CI)</p><p>^b random effect model HR (95% CI)</p><p>Subgroup meta-analysis results for MMP7 impact on Gastric Cancer survival.</p