Background: Lockdown is an effective nonpharmaceutical intervention to reduce coronavirus disease 2019 (COVID-19) transmission, but it restricts daily activity. We aimed to investigate the impact of lockdown on pediatric body weight and body mass index (BMI). Methods: The systematic review and meta-analysis were conducted following the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) statement. Four online databases (EMBASE, Medline, the Cochrane Library and CINAHL) were searched. Results: The pooled results showed that lockdown was associated with significant body weight gain (MD 2.67, 95% CI 2.12–3.23; p < 0.00001). The BMI of children with comorbidities or obesity did not change significantly. The BMI of general population was significantly higher during lockdown than before the pandemic (MD 0.94, 95% CI 0.32–1.56; p = 0.003). However, heterogeneity was high (I2 = 84%). Among changes in weight classification, increases in the rates of obesity (OR 1.23, 95% CI 1.10–1.37; p = 0.0002) and overweight (OR 1.17, 95% CI 1.06–1.29; p = 0.001) were reported. Conclusions: Our meta-analysis showed significant increases in body weight and BMI during lockdown among school-age children and adolescents. The prevalence of obesity and overweight also increased. The COVID-19 pandemic worsened the burden of childhood obesity.

Comprehensive assessment in care needs especially in the health system and information and physical and daily living domains before discharge is recommended to design personalized education programs before discharge.

Background: Over 30% of cancer survivors experience chronic fatigue. An alteration in energy metabolism is one of the hypothesized mechanisms for cancer-related fatigue (CRF). No studies have evaluated for changes in metabolic profiles in cancer survivors with CRF. The purpose of this pilot study was to evaluate for differences in metabolic profiles between fatigued and non-fatigued survivors of colorectal cancer (CRC). Methods: Survivors were recruited from the surgical outpatient department and the oncology clinic of a medical center in northern Taiwan. Fatigue was assessed using the Fatigue Symptom Inventory. Fasting blood samples were collected on the day the fatigue questionnaire was completed. Metabolomic profile analysis was performed using non-targeted, liquid chromatography/time-of-flight mass spectrometry. Fold change analyses, t-tests, and pathway analyses were performed to identify differences in metabolomic profiles between the fatigued and non-fatigued survivors. Results: Of the 56 CRC survivors in this study, 28.6% (n = 16) were in the fatigue group. Statistically significant differences in carnitine, L-norleucine, pyroglutamic acid, pyrrolidonecarboxylic acid, spermine, hydroxyoctanoic acid, and paraxanthine were found between the two fatigue groups. In addition, two pathways were enriched for these metabolites (i.e., glutathione metabolism, D-glutamine and D-glutamate metabolism). Conclusions: Findings from this pilot study provide preliminary evidence that two pathways that are involved with the regulation of ATP production and cellular energy (i.e., glutathione metabolism, D-glutamine and D-glutamate metabolism) are associated with fatigue in CRC survivors. If these findings are confirmed, they may provide new therapeutic targets to decrease fatigue in cancer survivors.

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Healthcare providers should take into account each individual's age, levels of psychological need, and symptom distress and should offer personalized information related to psychological needs and symptom management to decrease levels of uncertainty before discharge.

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Background: Patients with colorectal cancer (CRC) experience multiple symptoms.Resilience is a positive health outcome that can assist patients to face and adapt to their disease. Objective: The purpose of this study was to evaluate a proposed resilience model for patients with CRC. Methods: Patients (n = 416), who were given a diagnosis of stage Ι to III CRC within the past 5 years, were recruited from 2 medical centers in Northern Taiwan. Symptom Severity Scale, Fatigue Symptom Inventory, and Center for Epidemiological Studies Depression scale were used to assess the risk factors of symptom severity, fatigue, and depressive symptoms, respectively. Cancer Behavior Inventory and Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale were used to assess the protective factors of self-efficacy for coping with cancer and spiritual well-being, respectively. Resilience was assessed using the Resilience Scale. Structural equation modeling was used to evaluate the proposed resilience model for patients with CRC. Results: The initial structural equation modeling fit indices did not support the proposed model. In the revised model, depressive symptoms was a partial mediator between protective factors and resilience with an acceptable model fit (comparative fit index, 0.968; root mean square error of approximation, 0.085; standardized root mean square residual, 0.034). Conclusions: Patients with CRC who had higher levels of

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