Zorgcapaciteit kan een belangrijke schakel zijn tussen multi-probleem omstandigheden en ongunstige ontwikkeling van kinderen. Deze studie heeft als doel om de zorgcapaciteit en de correlaties daartussen te onderzoeken in zeer kwetsbare multiprobleemgezinnen in Rotterdam, Nederland. Zorgcapaciteit (algemeen, emotioneel en instrumenteel) werd prospectief beoordeeld bij 83 zeer kwetsbare vrouwen met behulp van video-observaties van dagelijkse zorgtaken, zes weken postpartum. Ondersteunende gegevens werden verzameld op drie tijdstippen: bij inclusie, zes weken na inclusie en zes weken postpartum, en deze omvatten psychologische symptomen, zelfredzaamheid, problematische levensdomeinen, thuisomgeving, inkomen, depressie, angst en stress. Zwangerschaps- en bevallingsgerelateerde informatie werd verzameld bij verloskundigen. De scores voor zorgverlening door de moeder waren gemiddeld van onvoldoende kwaliteit. Moeders die in een onveilige thuisomgeving leefden (B = 0,62) en moeders met meer problematische levensdomeinen (≤3 domeinen, B = 0,32) vertoonden significant hogere instrumentele zorgcapaciteiten. Andere variabelen waren niet gerelateerd aan zorgcapaciteit. De zorgcapaciteit in deze zeer kwetsbare populatie was van onvoldoende kwaliteit. In de meeste gevallen was er echter geen significant verband tussen zorgzaamheid en de variabelen die gerelateerd zijn aan kwetsbaarheid. Dit betekent dat een mogelijk verband tussen kwetsbaarheid en zorgcapaciteit kan worden veroorzaakt door de interactie tussen verschillende problemen, in plaats van door het type of de omvang van de zorg.
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BackgroundPeople from lower and middle socioeconomic classes and vulnerable populations are among the worst affected by the COVID-19 pandemic, thus exacerbating disparities and the digital divide.ObjectiveTo draw a portrait of e-services as a digital approach to support digital health literacy in vulnerable populations amid the COVID-19 infodemic, and identify the barriers and facilitators for their implementation.MethodsA scoping review was performed to gather published literature with a broad range of study designs and grey literature without exclusions based on country of publication. A search was created in Medline (Ovid) in March 2021 and translated to Medline, PsycINFO, Scopus and CINAHL with Full Text (EBSCOhost). The combined literature search generated 819 manuscripts. To be included, manuscripts had to be written in English, and present information on digital intervention(s) (e.g. social media) used to enable or increase digital health literacy among vulnerable populations during the COVID-19 pandemic (e.g. older adults, Indigenous people living on reserve).ResultsFive articles were included in the study. Various digital health literacy-enabling e-services have been implemented in different vulnerable populations. Identified e-services aimed to increase disease knowledge, digital health literacy and social media usage, help in coping with changes in routines and practices, decrease fear and anxiety, increase digital knowledge and skills, decrease health literacy barriers and increase technology acceptance in specific groups. Many facilitators of digital health literacy-enabling e-services implementation were identified in expectant mothers and their families, older adults and people with low-income. Barriers such as low literacy limited to no knowledge about the viruses, medium of contamination, treatment options played an important role in distracting and believing in misinformation and disinformation. Poor health literacy was the only barrier found, which may hinder the understanding of individual health needs, illness processes and treatments for people with HIV/AIDS.ConclusionsThe literature on the topic is scarce, sparse and immature. We did not find any literature on digital health literacy in Indigenous people, though we targeted this vulnerable population. Although only a few papers were included, two types of health conditions were covered by the literature on digital health literacy-enabling e-services, namely chronic conditions and conditions that are new to the patients. Digital health literacy can help improve prevention and adherence to a healthy lifestyle, improve capacity building and enable users to take the best advantage of the options available, thus strengthening the patient’s involvement in health decisions and empowerment, and finally improving health outcomes. Therefore, there is an urgent need to pursue research on digital health literacy and develop digital platforms to help solve current and future COVID-19-related health needs.
Background: Our aim was to identify dietary patterns by the level of maternal education that contribute to BMI, fat mass index (FMI), and fat-free mass index (FFMI) in children at age 5 and to assess if these dietary patterns are related to BMI at age 10. Methods: Per group (low/middle/high level), Reduced Rank Regression (RRR) was used to derive dietary patterns for the response variables BMI z-score, FMI, and FFMI in 1728 children at age 5 in the Amsterdam Born Children and their Development (ABCD) cohort. Regression analyses were then used to determine the association with BMI at age 10. Results: In each group, pattern 1 was characterized by its own cluster of food groups. Low: water/tea, savory snacks, sugar, low-fat meat, and fruits; middle: water/tea, low-fat cheese, fish, low-fat dairy, fruit drink, low-fat meat, and eggs; and high: low-fat cheese, fruits, whole-grain breakfast products, and low-fat and processed meat. Additionally, in each group, pattern 1 was positively associated with BMI z-scores at age 10 (low: β ≤ 0.43 [95% CI ≤ 0.21; 0.66], p < 0.001, middle: β ≤ 0.23 [0.09; 0.36], p ≤ 0.001, and high: β ≤ 0.24 [0.18; 0.30], p < 0.001). Conclusions: The dietary patterns stratified by the level of maternal education are characterized by different food groups. But in all the groups, pattern 1 is positively associated with BMI at age 10.
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