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Item Exploring the Role of Social Support in Postpartum Well-Being with a Psychometric Approach(2025) Lochmannová, Alena; Martin, Colin R.The Czech version of the Social Support Survey Instrument (CZ-SSSI) was developed and validated to assess social support among postpartum women, a crucial factor in mitigating mental health challenges during the perinatal period. This cross-sectional study recruited 486 Czech postpartum women via online platforms focused on motherhood and childcare. The CZ-SSSI was translated using a forward and backward method, with psychometric validation conducted through confirmatory factor analysis, internal consistency testing (Cronbach’s alpha and McDonald’s Omega), and validity assessments using the Depression, Anxiety, and Stress Scale (DASS-21) and the Edinburgh Postnatal Depression Scale (EPDS). The results demonstrated excellent internal consistency (Cronbach’s alpha > 0.9 across subscales), confirming the robustness of the four-factor model. Convergent validity was established through significant correlations with mental health measures, and the instrument effectively distinguished between groups with differing levels of depression and infant health status. The CZ-SSSI is a reliable and valid tool for assessing postpartum social support, with potential applications in both clinical assessment and perinatal mental health research. By providing a standardized measure, this instrument can contribute to a better understanding of the role of social support in postpartum well-being and inform targeted interventions to support maternal mental health.
Item The Trail Walking Test to predict probable mild cognitive impairment in older adults(2024) Hereitová, Iva; Hašková, Anna Marie; Majdan, MarekBackground: Early detection of mild cognitive impairment (MCI) as a risk factor for dementia using valid screening tools can present an opportunity for timely intervention to slow the progression of cognitive decline in older adults. Aim: The aim of this study was to evaluate the Trail Walking Test (TWT) that includes a dual task to predict probable MCI (pMCI) in older adults and to evaluate its usability as a screening tool. Methods: The study was conducted on a sample of 61 subjects categorized using the Montreal Cognitive Assessment (MoCA) into three groups: older adults with intact cognitive ability (ICA, MoCA > 25); older adults with pMCI (MoCA ≤ 25); and “healthy young adults (HYA)”. All participants completed the Trail Making Test (TMT) and three variants of the TWT with increasing complexity. Area under the receiver operating curve (AUC), sensitivity, specifi city and Youden indices were used to evaluate the capacity of each test to predict pMCI in older adults. Internal validation was performed to calculate AUCs corrected for optimism (AUCVAL). Results: The pMCI group performed signifi cantly worse in all evaluated variations of the TMT and TWT than the ICA and HYA groups (P < 0.001). We found that all versions of the TMT (e. g., TMT-A and TMT-B) and TWT tests (e. g., TWT-1, 2, 3) have very good ability to discriminate between people with pMCI and all controls (e. g., ICA and HYA combined) with AUCs ranging from 0.81 to 0.876, generally increasing with increasing complexity of the dual task. Best performance was achieved when only HYA were used as a control group (AUCs: 0.894–0.975). The validity of these tools to predict pMCI remained very good after corrections using bootstrapping (AUCs: 0.829–0.839). While TWT-2 showed more benefi ts over TWT-1, the added value of TWT-3 over TWT-2 has been limited in this study. Conclusions: The dual component TWT is a valid screening tool for pMCI in older adults. Its use may improve early detection of pMCI in clinical and non-clinical settings. While increasing complexity of the test increases its predicting performance, based on our fi ndings there seems to be a cutoff beyond which the added value of more complex dual tasks diminishes.
