BackgroundThe guardianship ability of guardians of patients with severe mental disorders plays an important role in supporting the patients' recovery and reintegration into society. It is necessary to develop a scientific tool since there is a lack of tools to quantitatively assess the guardianship ability. ObjectiveTo explore and develop an assessment scale for the guardianship ability of guardians of patients with severe mental disorders， so as to provide references for the construction of scientific and reasonable guardianship ability evaluation tools. MethodsA pool of scale items was constructed through a literature review and interviews， followed by two rounds of expert consultation with 15 specialists. 364 guardians of patients with severe mental disorders in Guangzhou were investigated. The scale items were screened and optimized using item analysis and exploratory factor analysis， and the structural validity of the scale was further verified through confirmatory factor analysis. The content validity of the scale was evaluated by item-level content validity index （I-CVI） the average scale-level content validity index （S-CVI/Ave）. The reliability of the scale was tested by Cronbach's α coefficient and split-half reliability. ResultsThe guardianship ability scale for guardians of patients with severe mental disorders consists of 25 items， including three dimensions of guardianship willingness， guardianship knowledge and behavior and guardianship self-efficacy. The results of the item analysis showed that all items met the corresponding criteria and were retained. Validity test： the I-CVI ranged from 0.800 to 1.000， and the S-CVI/Ave was 0.964. Factor load of each item on the corresponding factors ranged from 0.596 to 0.976， and the model demonstrated good fit： chi-square degree of freedom ratio （χ²/df） was 2.444， Tucker-Lewis index （TLI） was 0.908， comparative goodness of fit index （CFI） was 0.917， standardized root mean square residual （SRMR） was 0.049， and root mean square residual （RMSEA） was 0.089. Reliability test showed that the total scale had a Cronbach's α coefficient of 0.966， and the split half reliability coefficient was 0.915. ConclusionThe guardianship ability scale for patients with severe mental disorders developed in this study has good reliability and validity， and has certain application value for the assessment of guardianship ability for patients with severe mental disorders. ［Funded by Health Science and Technology Project of Guangzhou （number， 20221A011049）］

OBJECTIVE: Evidence that long-term exposure to ambient air pollution increases mortality among older adults, particularly those residing in low-level air pollution locations, remains scarce. This study investigated the potential links between long-term low-level air pollution exposure and mortality among Chinese older adults. METHODS: A population-based study with 317,464 individuals aged ≥ 65 years was conducted in Shenzhen, China during 2018 and 2020. Logistic regression models were used to analyze the associations between long-term exposure to air pollution and all-cause mortality, as the primary outcome, as well as non-accidental, cancer and cardiovascular mortality. RESULTS: Significant associations of PM ₁, PM _2.5, PM ₁₀, SO ₂, CO, and O ₃ exposures with a higher risk of all-cause mortality were found. Adjusted odds ratio ( OR) for each 1 µg/m ³ increment was 1.49 [95% confidence interval ( CI): 1.46, 1.53] for PM ₁, 1.30 (1.27, 1.32) for PM _2.5, 1.05 (1.04, 1.06) for PM ₁₀, 5.84 (5.39, 6.32) for SO ₂, 1.04 (1.04, 1.05) for CO, and 1.02 (1.00, 1.03) for O ₃, respectively. Long-term PM ₁, PM _2.5, PM ₁₀, SO ₂, and CO exposures also elevated the risks of non-accidental, cancer and cardiovascular mortality. CONCLUSION Long-term low-level air pollution exposure was associated with an increased mortality risk among Chinese older adults.
Humans ; Aged ; China/epidemiology* ; Male ; Female ; Air Pollution/adverse effects* ; Environmental Exposure/adverse effects* ; Air Pollutants/analysis* ; Aged, 80 and over ; Particulate Matter/adverse effects* ; Cardiovascular Diseases/mortality* ; Mortality ; Neoplasms/mortality* ; East Asian People

Objective: To establish comprehensive laboratory reference intervals for Chinese children. Methods: This was a cross-sectional multicenter study. From June 2013 to December 2014, eligible healthy children aged from 6-month to 17-year were enrolled from 20 medical centers with informed consent. They were assessed by physical examination, questionnaire survey and abdominal ultrasound for eligibility. Fasting blood samples were collected and delivered to central laboratory. Measurements of 15 clinical laboratory parameters were performed, including estradiol (E2), testosterone(T), luteinizing hormone(LH), follicle-stimulating hormone(FSH), alanine transaminase(ALT), serum creatinine(Scr), cystatin C, immunoglobulin A(IgA), immunoglobulin G(IgG), immunoglobulin M(IgM), complement (C3, C4), alkaline phosphatase(ALP), uric acid(UA) and creatine kinase(CK). Reference intervals were established according to central 95% confidence intervals for reference population, stratified by age and sex. Results: In total, 2 259 children were enrolled. Finally, 1 648 children were eligible for this study, including 830 boys and 818 girls, at a mean age of 7.4 years. Age- and sex- specific reference intervals have been established for the parameters. Reference intervals of sex hormones increased gradually with age. Concentrations of ALT, cystatin C, ALP and CK were higher in children under 2 years old. Serum levels of sex hormones, creatinine, immunoglobin, CK, ALP and urea increased rapidly in adolescence, with significant sex difference. In addition, reference intervals were variable depending on assay methods. Concentrations of ALT detected by reagents with pyridoxal 5'-phosphate(PLP) were higher than those detected by reagents without PLP. Compared with enzymatic method, Jaffe assay always got higher results of serum creatinine, especially in children younger than 9 years old. Conclusion This study established age- and sex- specific reference intervals, for 15 clinical laboratory parameters based on defined healthy children.