PubMed Health⌕ Search

PubMed · 15677000

Perception testing of apparel ease variation.

Abstract

The development of new computer technologies designed to custom-fit apparel has created a need for quantification of apparel fit characteristics. Fit perception and preference data are needed to improve sizing for ready-to-wear and custom-fitted apparel. Tactile responses of subjects to the fit of pants were investigated using an adaptation of an American Society for Testing and Materials (ASTM) sensory perception test. The test was designed to establish thresholds in apparel fit: that is, the smallest difference in garment dimensions that can be consistently perceived and identified. The test samples for the study were a set of 15 pants, which varied in size, made for each participant from precise computer-generated patterns. Four female experts in apparel fit, who comprised the subject panel, each recorded their responses to these pants compared to a control. Control pants were custom-fitted to each panel member; the remaining pants in each set varied from the control by 0.5 to 1.5 cm at a single location (waist, hips, or crotch length). When the pants were presented in a blind test, the panel perceived differences as small as 0.5 cm in pants waist size from the control. Differences of 1.5 cm were perceptible at the hip and crotch. The subject's level of acceptance of the fit variations in the pants was then judged using a preference test. This test revealed differences among individual subjects in the acceptability of fit variations in waist and crotch dimensions; judgements of the acceptability of hip variations were more consistent among the subjects. Judging from the results of this testing, it is concluded that threshold levels at which fit differences can be perceived can be established for different areas of the body, and that perceptible fit variations can be quite small. This testing also showed that individuals vary in their tolerance for fit variations at different locations on the body.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

S P Ashdown, M Delong. 1995. Perception testing of apparel ease variation.. https://doi.org/10.1016/0003-6870(95)95750-t

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Effectiveness of high-dose versus standard-dose influenza vaccines against hospitalisation according to frailty risk: a prespecified analysis of the randomised trial DANFLU-2.

BACKGROUND: Frailty is a major risk factor for influenza-related complications and can influence vaccine effectiveness. We aimed to assess the relative vaccine effectiveness (rVE) of high-dose (HD-IIV) versus standard-dose inactivated influenza vaccine (SD-IIV) in older adults aged 65 years or older according to frailty risk. METHODS: This study was a prespecified analysis of DANFLU-2, an open-label, individually randomised trial, conducted in Denmark during three consecutive influenza seasons (2022-23, 2023-24, and 2024-25). Adults aged 65 years or older were randomised (1:1) to the HD-IIV or SD-IIV group. The primary endpoint was hospitalisation for influenza or pneumonia. Frailty was defined according to the validated Hospital Frailty Risk Score (HFRS) based on ICD-10 codes within 10 years before randomisation. Participants were stratified into three HFRS categories, namely low (<5 points), intermediate (5-15 points), and high (>15 points) frailty risk. The rVE of HD-IIV versus SD-IIV against the primary endpoint was assessed across prespecified HFRS categories and treating HFRS as a continuous variable. Pearson's chi-square test was used to compare safety events across frailty risk groups and randomisation groups. FINDINGS: Among 332&#x2009;438 randomised participants (mean age 73&#xb7;7 years [SD 5&#xb7;8]; 161&#x2009;538 [48&#xb7;6%] were female), 276&#x2009;173 (83&#xb7;1%) had low frailty risk, 52&#x2009;395 (15&#xb7;8%) had intermediate frailty risk, and 3861 (1&#xb7;2%) had high frailty risk. The primary endpoint of hospitalisation for influenza or pneumonia occurred in 1424 (0&#xb7;5%) of 276&#x2009;173 participants with low frailty risk, 761 (1&#xb7;5%) of 52&#x2009;395 with intermediate frailty risk, and 163 (4&#xb7;2%) of 3861 with high frailty risk (relative risk [RR] for intermediate vs low frailty risk 2&#xb7;8 [95% CI 2&#xb7;6-3&#xb7;1]; RR for high vs low frailty risk 8&#xb7;2 [7&#xb7;0-9&#xb7;6]). HFRS as a continuous variable significantly modified the effect of HD-IIV versus SD-IIV against the primary endpoint with higher rVE estimates with increasing HFRS (pinteraction=0&#xb7;020). The rVE was 0&#xb7;2% (95% CI -10&#xb7;8 to 10&#xb7;2) among those with low frailty risk, 13&#xb7;1% (-0&#xb7;4 to 24&#xb7;8) among those with intermediate frailty risk, and 19&#xb7;9% (-10&#xb7;3 to 42&#xb7;1) among those with high frailty risk. No significant interaction was observed when HFRS was assessed according to the prespecified categorical frailty groups (pinteraction=0&#xb7;17). The proportion of participants with at least one serious adverse event increased across frailty risk groups (13&#x2009;366 [4&#xb7;8%] of 275&#x2009;795 for low frailty risk, 5475 [10&#xb7;5%] of 52&#x2009;315 for intermediate frailty risk, and 777 [20&#xb7;2%] of 3850 for high frailty risk; p<0&#xb7;0001), with similar proportions of serious adverse events in the HD-IIV and SD-IIV groups for each frailty risk group. INTERPRETATION: Among adults aged 65 years or older in Denmark, frailty risk might modify the effects of HD-IIV versus SD-IIV against hospitalisation for influenza or pneumonia, with higher rVE estimates with increasing frailty risk. These findings might support considering high-dose influenza vaccines for frail older adults. However, effect modification was not evident when frailty was assessed using prespecified categorical subgroups, and subgroup-specific estimates were imprecise, with 95% CIs crossing the null. These results should be considered exploratory, warranting further investigation. FUNDING: The DANFLU-2 trial was funded by Sanofi.

Journal Article↗