Nonalcoholic fatty liver disease (NAFLD) has been associated with relative skeletal muscle mass in several cross-sectional studies. We explored the effects of relative skeletal muscle mass and changes in relative muscle mass over time on the development of incident NAFLD or the resolution of baseline NAFLD in a large, longitudinal, population-based 7-year cohort study. We included 12,624 subjects without baseline NAFLD and 2943 subjects with baseline NAFLD who underwent health check-up examinations. A total of 10,534 subjects without baseline NAFLD and 2631 subjects with baseline NAFLD were included in analysis of changes in relative skeletal muscle mass over a year. Subjects were defined as having NAFLD by the hepatic steatosis index, a previously validated NAFLD prediction model. Relative skeletal muscle mass was presented using the skeletal muscle mass index (SMI), a measure of body weight-adjusted appendicular skeletal muscle mass, which was estimated by bioelectrical impedance analysis. Of the 12,624 subjects without baseline NAFLD, 1864 (14.8%) developed NAFLD during the 7-year follow-up period. Using Cox proportional hazard analysis, compared with the lowest sex-specific SMI tertile at baseline, the highest tertile was inversely associated with incident NAFLD (adjusted hazard ratio [AHR] = 0.44, 95% confidence interval [CI] = 0.38-0.51) and positively associated with the resolution of baseline NAFLD (AHR = 2.09, 95% CI = 1.02-4.28). Furthermore, compared with the lowest tertile of change in SMI over a year, the highest tertile exhibited a significant beneficial association with incident NAFLD (AHR = 0.69, 95% CI = 0.59-0.82) and resolution of baseline NAFLD (AHR = 4.17, 95% CI = 1.90-6.17) even after adjustment for baseline SMI. Conclusion: Increases in relative skeletal muscle mass over time may lead to benefits either in the development of NAFLD or the resolution of existing NAFLD.

Mass customization entails the mass production of individually customized goods and services. Co‐design is a mass customization option where a product's design is based on the customer's selections from a range of design feature offerings. A model comprised of relationships between individual differences, motivations for using co‐design, and willingness to use co‐design was proposed and statistically supported using 521 university subjects from different regions of the USA and the analysis of moment structures (AMOS) statistic. As hypothesized, optimum stimulation level (OSL) predicted two clothing interest factors: experimenting with appearance (EA) and enhancement of individuality (EI). As proposed, OSL and EA predicted the two motivations, trying co‐design as an exciting experience and using co‐design to create a unique product, whereas EI only predicted using co‐design to create a unique product. Both motives were mediating variables between individual differences and willingness to use co‐design, but using co‐design to create a unique product had a stronger effect. Theoretical and marketing implications were discussed.

PurposeThe purpose of this study is to identify retailers selling sustainable apparel goods on the internet and examine their sustainable initiatives in the supply chain based on the United Nation's Global Reporting Initiative (GRI), one of the most widely used sustainability reporting guidelines.Design/methodology/approachA total of 156 sustainable apparel websites were content analyzed based on presence or absence of the website contents. A systematic coding scheme was developed based on previous research on the sustainability of the apparel industry and the GRI.FindingsFindings of this study support the GRI as a useful framework to assess sustainability in online apparel retailers. The most commonly addressed aspects of the GRI that were addressed by companies in this study were the environmental and social aspects. Few sustainable apparel retailers on the internet made initiatives in all three areas of sustainability addressed in the GRI.Originality/valueThis study provides general characteristics of websites as well as endeavours along the supply chain to illustrate a full overview of sustainable apparel retailers online. The initiatives discussed in this study are meant to serve as a guide and inspiration for future researchers, companies and consumers.

Purpose Lung cancer is among the most common cancers. Bronchoalveolar lavage fluid (BALF) can be easily obtained from patients with lung cancers. The aim is to develop a novel proteomic method of the molecule‐based sensitive detection of biomarkers from BALF. Experimental Design BALF samples are collected from segmental bronchus of 14 patients with lung cancers from Kyung Hee University Hospital. First, BALF proteome is depleted using a depletion column, and then peptides are prepared from the enriched low abundant proteins and fractionated by high pH reverse phase liquid chromatography prior to LC‐MS/MS. Data are available via ProteomeXchange with identifier PXD012645. Results A novel method is developed for in‐depth proteomic analysis of BALF by combining antibody‐based depletion of high abundant proteins from BALF with high pH peptide fractionation. Peptides are analyzed on a high resolution Orbitrap Fusion mass spectrometer. MaxQuant search result in the identification of 4615 protein groups mapped to 4534 genes. Conclusions and Clinical Relevance It is found that the method outperformed conventional BALF proteomic methods and it is believed that this method will facilitate the biomarker research for lung cancer. In addition, it is shown that BALF will be a great source of biomarkers of lung diseases.