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Purpose: To identify the difficulties and burdens related to the experience of caring for children. Methods: A phenomenological approach was used in this qualitative study. Semi-structured and adolescents with idiopathic nephrotic syndrome (INS) in mainland China. Interviews lasting 35-90 minutes were conducted with 13 parental caregivers of youth with INS. The Colaizzi's analysis was used in data analysis. Results: The mean age of parental caregivers was 40.3 ± 6.1 years, and the average caregiving year of 3.2 ± 3.3 years. Most INS patients were male (69.2%), had a mean age of 7.6 ± 4.2 years. Based on the analysis of the data, five major themes emerged. These were: persistent emotional burden; neglected physical burden; overwhelming financial burden; absence of social support system and burden related to loss of normal life. Conclusion: Health professionals must develop strategies to provide stage-by-stage, targeted health education and psychological support services to parental caregivers of INS youth in China. The government must subsidize routine medications and frequent hospitalizations to minimize the financial burden on parental caregivers of INS youth. Moreover, anti-discrimination policies must be established to protect caregivers from explicit discrimination in public places.
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BACKGROUND: Areal bone mineral density (aBMD) applied for osteoporosis diagnosis unavoidably results in the missingdiagnosis in patients with large bones and misdiagnosis in those with small bones. Therefore, we try to find a new adjusted index of bone mineral content (BMC) to make up shortcomings of aBMD in osteoporosis diagnosis. METHODS: In this multi-center epidemiological study, BMC and aBMD of lumbar spines (nâ=â5510) and proximal femurs (nâ=â4710) were measured with dual energy X-ray absorptiometry (DXA). We analyzed the correlation between the bone mass and body weight in all subjects including four age groups (<19 years, 20-39 years, 40-49 years, >50 years). And then the body weight was used for standardizing BMC (named wBMC) and applied for the epidemiological analysis of osteoporosis. RESULTS: The correlation of body weight and BMC is 0.839 to 0.931 of lumbar vertebra 1-4 (L1-4), and 0.71 to 0.95 of femoral neck in different age groups. When aBMD was applied for diagnosing osteoporosis, the prevalence was 7.55%, 16.39%, and 25.83% in patients with a high, intermediate, and low body weight respectively. However, the prevalence was 21.8%, 18.03%, and 11.64% by wBMC applied for diagnosing osteoporosis. Moreover, the prevalence of osteoporosis increased by 3.76% by wBMC with the body weight increased by 5 kg. The prevalence decreased by 1.94% when the body weight decreased by 5 kg. CONCLUSIONS: wBMC can reduce the missed diagnosis in patients with large body weight and reduce misdiagnosis in those with small body weight. Including children, wBMC may be feasible for osteoporosis diagnosis individuals at any age.
Assuntos
Densidade Óssea/fisiologia , Osteoporose/metabolismo , Absorciometria de Fóton , Adulto , Fatores Etários , Peso Corporal/fisiologia , Feminino , Colo do Fêmur/diagnóstico por imagem , Colo do Fêmur/metabolismo , Humanos , Vértebras Lombares/diagnóstico por imagem , Vértebras Lombares/metabolismo , Pessoa de Meia-Idade , Osteoporose/diagnóstico por imagem , Prevalência , Adulto JovemRESUMO
The microbiota of the aged is variously described as being more or less diverse than that of younger cohorts, but the comparison groups used and the definitions of the aged population differ between experiments. The differences are often described by null hypothesis statistical tests, which are notoriously irreproducible when dealing with large multivariate samples. We collected and examined the gut microbiota of a cross-sectional cohort of more than 1,000 very healthy Chinese individuals who spanned ages from 3 to over 100 years. The analysis of 16S rRNA gene sequencing results used a compositional data analysis paradigm coupled with measures of effect size, where ordination, differential abundance, and correlation can be explored and analyzed in a unified and reproducible framework. Our analysis showed several surprising results compared to other cohorts. First, the overall microbiota composition of the healthy aged group was similar to that of people decades younger. Second, the major differences between groups in the gut microbiota profiles were found before age 20. Third, the gut microbiota differed little between individuals from the ages of 30 to >100. Fourth, the gut microbiota of males appeared to be more variable than that of females. Taken together, the present findings suggest that the microbiota of the healthy aged in this cross-sectional study differ little from that of the healthy young in the same population, although the minor variations that do exist depend upon the comparison cohort. IMPORTANCE We report the large-scale use of compositional data analysis to establish a baseline microbiota composition in an extremely healthy cohort of the Chinese population. This baseline will serve for comparison for future cohorts with chronic or acute disease. In addition to the expected difference in the microbiota of children and adults, we found that the microbiota of the elderly in this population was similar in almost all respects to that of healthy people in the same population who are scores of years younger. We speculate that this similarity is a consequence of an active healthy lifestyle and diet, although cause and effect cannot be ascribed in this (or any other) cross-sectional design. One surprising result was that the gut microbiota of persons in their 20s was distinct from those of other age cohorts, and this result was replicated, suggesting that it is a reproducible finding and distinct from those of other populations.