In this study, we demonstrated the potential of graphene nanomaterials as environmental pollutant adsorbents by utilizing the characteristics of ultralarge surface area and strong π-π interaction on the surface. We generated a three-dimensional (3D) graphene oxide sponge (GO sponge) from a GO suspension through a simple centrifugal vacuum evaporation method, and used them to remove both the methylene blue (MB) and methyl violet (MV) dyes which are main contaminants from the dye manufacturing and textile finishing. The efficiency and speed of dye adsorption on a GO sponge was investigated under various parameters such as contact time, stirring speed, temperature, and pH. The adsorption process shows that 99.1% of MB and 98.8% of MV have been removed and the equilibrium status has been reached in 2 min. The 3D GO sponge displays adsorption capacity as high as 397 and 467 mg g(-1) for MB and MV dye, respectively, and the kinetic data reveal that the adsorption process of MB and MV dyes is well-matched with the pseudo second-order model. The MB and MV adsorption on the 3D GO sponge involved in endothermic chemical adsorption through the strong π-π stacking and anion-cation interaction with the activation energy of 50.3 and 70.9 kJ mol(-1), respectively. The 3D GO sponge has demonstrated its high capability as an organic dye scavenger with high speed and efficiency.

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Introduction Multicomponent interventions improve physical function and frailty in older adults, but their long-term benefit remains uncertain. Methods This prospective non-randomised study was conducted in 383 older Koreans (mean age, 76.8 years; female 72.3%) who were living alone or receiving medical aid. Of these, 187 individuals chose to receive a 24-week intervention that consisted of group exercise, nutritional supplements, depression management, deprescribing and home hazard reduction. The remaining 196 individuals received usual care. We compared the short physical performance battery (SPPB) score (0–12 points), frailty phenotype scale (0–5 points) and deficit-accumulation frailty index (0–1) at baseline, 6, 18 and 30 months. Results After 1:1 propensity score matching (n = 117 per group), the mean SPPB scores for the intervention and comparison groups were 7.6 versus 7.6 at baseline, 10.7 versus 7.1 at 6 months (mean difference, 3.5; 95% confidence interval [CI], 2.8–4.2), 9.1 versus 7.8 at 18 months (1.3; 95% CI, 0.6–2.0) and 8.6 versus 7.5 at 30 months (1.1; 95% CI, 0.4–1.8). The intervention group had lower frailty phenotype scale (1.1 versus 1.8; difference, −0.7; 95% CI −1.0 to −0.3) and frailty index (0.22 versus 0.27; difference, −0.04; −0.06 to −0.02) at 6 months, but similar scores at 18 and 30 months. The 30-month mean institutionalisation-free survival time was 28.5 months in the intervention group versus 23.3 months in the comparison group (difference, 5.2 months; 95% CI, 3.1–7.4). Conclusions The 24-week multicomponent intervention showed sustained improvement in physical function, temporary reduction in frailty and longer institutionalisation-free survival over 30 months.

Background Home Internet of Things (IoT) services and devices have the potential to aid older adults and people with disabilities in their living environments. IoT services and devices can also aid caregivers and health care providers in conveniently providing care to those in need. However, real-world data on the IoT needs of vulnerable people are lacking. Objective The objective of this study is to conduct a face-to-face survey on the demand for IoT services among older people and people with disabilities, their caregivers, and health care providers in a real-world setting and to see if there are any differences in the aspects of need. Methods We conducted a face-to-face survey with 500 participants between January 2019 and March 2019. A total of 300 vulnerable people (200 older adults aged ≥65 years and 100 physically disabled people aged 30-64 years) were randomly sampled from either a population-based, prospective cohort study of aging—the Aging Study of Pyeongchang Rural Area (ASPRA)—or from the outpatient clinics at the Asan Medical Center, Seoul, South Korea. Simultaneously, their caregivers (n=150) and health care providers (n=50) participated in the survey. Detailed socioeconomic status, digital literacy, health and physical function, and home IoT service needs were determined. Among all commercially available IoT services, 27 services were classified into five categories: emergency and security, safety, health care, convenience (information), and convenience (operation). The weighted-ranking method was used to rank the IoT needs in different groups. Results There were discrepancies in the demand of IoT services among the vulnerable groups, their caregivers, and health care providers. The home IoT service category that was required the most by the vulnerable groups and their caregivers was emergency and security. However, health care providers indicated that the safety category was most needed by the older adults and disabled people. Home IoT service requirements differed according to the different types of disabilities among the vulnerable groups. Participants with fewer disabilities were more willing to use IoT services than those with more disabilities. Conclusions Our survey study shows that there were discrepancies in the demand of IoT services among the vulnerable groups, their caregivers, and health care providers. IoT service requirements differed according to the various types of disabilities. Home IoT technology should be established by combining patients’ priorities and individualized functional assessments among vulnerable people. Trial Registration Clinical Research Information Service (CRIS; KCT0004157); https://tinyurl.com/r83eyva

BACKGROUND/OBJECTIVES To evaluate the long‐term association between a multicomponent intervention program and disability in socioeconomically vulnerable older adults. DESIGN This was a nonrandomized prospective intervention trial. SETTING The setting was a community. PARTICIPANTS Participants included older Koreans living alone or receiving government assistance from a low‐income program. INTERVENTION The intervention was a 24‐week multicomponent program compromising group exercise, nutritional supplementation, management of depression, deprescribing, and home hazard reduction (n = 187) versus usual care (n = 196). MEASUREMENTS The number of dependencies in 17 basic and instrumental activities of daily living was measured every 3 months for 30 months (range: 0–17; greater values indicated worse disability). Inverse probability weighting Poisson regression was used to model the number of dependencies to adjust for confounding bias and higher dropout rates of those with greater disability. RESULTS The study population had a mean age of 76 years, and 26% were men. During the 30‐month follow up, 17 died (n = 8, intervention; n = 9, control), 62 (n = 16, intervention; n = 46, control) were institutionalized or received nursing home care, and 34 (n = 15, intervention; n = 19, control) were lost to follow up. After inverse probability weighting, the mean number of dependencies at baseline was 1.21 and 1.29 for the intervention group and the control group, respectively (P = .80). The intervention group had fewer dependencies than the control group, but the difference was attenuated over time: 1.08 versus 1.60 at 6 months (P = .04), 1.29 versus 1.87 at 12 months (P = .03), 1.62 versus 2.17 at 18 months (P = .06), 2.08 versus 2.51 at 24 months (P = .18), and 2.73 versus 2.90 at 30 months (P = .67). CONCLUSION A 24‐week multicomponent intervention was associated with a slower progression of disability; however, the diminishing association from 24 months and beyond suggests that reassessment and intervention may be necessary. Due to a lack of randomization, our findings should be interpreted with caution.