Impact of age-friendly living environment and intrinsic capacity on functional ability in older adults: a cross-sectional study.

BACKGROUND: The World Health Organization (WHO) has proposed healthy aging framework, supposing that intrinsic capacity (IC), environment and their interaction may have influence on functional ability (FA). It was still unclear how the IC level and age-friendly living environment impact on FA. This study aims to confirm the relationship between the IC level and age-friendly living environment with FA, especially in older adults with low IC. METHODS: Four hundred eighty-five community-dwelling residents aged ≥ 60 years were enrolled. IC constructed by locomotion, cognition, psychological, vitality, and sensory domains was assessed using full assessment tools recommended by WHO. Age-friendly living environment was measured with 12 questions adapted from the spatial indicators framework of age-friendly cities. FA was assessed using activities of daily living (ADL) and one question about mobile payment ability. Multivariate logistic regression was used to explore the association between IC, environment and FA. The influence of the environment on electronic payment and ADL under the IC layer was assessed. RESULTS: Of 485 respondents, 89 (18.4%) had ADL impairment, and 166 (34.2%) had mobile payment function impairment. Limited IC (odds ratio [OR] = 0.783, 95% confidence interval [CI] = 0.621-0.988) and poor environment (OR = 0.839, 95% CI = 0.733-0.960) were associated with mobile payment ability impairment. Our results suggested that a supportive age-friendly living environment influenced FA was more prominent in older adults with poor IC (OR = 0.650, 95% CI = 0.491-0.861). CONCLUSIONS: Our results confirmed IC and the environment had an impact on mobile payment ability. The relationship between environment and FA showed differences according to IC level. These findings suggest that an age-friendly living environment is important to maintain and enhance elders' FA, especially in those with poor IC.

High resolution computed tomography for the diagnosis of 2019 novel coronavirus (2019-nCoV) pneumonia: a study from multiple medical centers in western China.

BACKGROUND: To evaluate the role of high-resolution computed tomography (HRCT) in the diagnosis of 2019 novel coronavirus (2019-nCoV) pneumonia and to provide experience in the early detection and diagnosis of 2019-nCoV pneumonia. METHODS: Seventy-two patients confirmed to be infected with 2019-nCoV from multiple medical centers in western China were retrospectively analyzed, including epidemiologic characteristics, clinical manifestations, laboratory findings and HRCT chest features. RESULTS: All patients had lung parenchymal abnormalities on HRCT scans, which were mostly multifocal in both lungs and asymmetric in all patients, and were mostly in the peripheral or subpleural lung regions in 52 patients (72.22%), in the central lung regions in 16 patients (22.22%), and in both lungs with "white lung" manifestations in 4 patients (5.56%). Subpleural multifocal consolidation was a predominant abnormality in 38 patients (52.78%). Ground-glass opacity was seen in 34 patients (47.22%). Interlobular septal thickening was found in 18 patients, 8 of whom had only generally mild thickening with no zonal predominance. Reticulation was seen in 8 patients (11.11%), and was mild and randomly distributed. In addition, both lungs of 28 patients had 2 or 3 CT imaging features. Out of these 72 patients, 36 were diagnosed as early stage, 32 patients as progressive stage, and 4 patient as severe stage pneumonia. Moreover, the diagnostic accuracy of HRCT features combined with epidemiological history was not significantly different from the detection of viral nucleic acid (all P >0.05). CONCLUSIONS: The HRCT features of 2019-nCoV pneumonia are characteristic to a certain degree, which when combined with epidemiological history yield high clinical value in the early detection and diagnosis of 2019-nCoV pneumonia.