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Body positivity movement empowered plus-size women globally to speak up boldly about their clothing needs. Retailers cannot satisfy this group with some classic style offerings anymore. By taking clue from existing literature, this study aims to identify clothing preferences and problems related to ready-made plus-size clothing in India. Although many past literature pointed out about poorly fitted and size unavailability issues worldwide, very few of them addressed about clothing style preferences.

A self-administered close-ended questionnaire was used to answer a set of objectives. A pilot study with 40 plus-size women was carried out to check the reliability and validity of the instrument. Four hundred subject's data were gathered from six Indian cities with a purpose of varied geographical importance. Statistical tests like binomial distribution was used to analyze fit-related problems of 12 bodily sites such as shoulder, upper arm, lower arm, bust, waist, stomach, abdomen, hip, thigh, lower leg, armhole and elbow, and frequency charts were used to examine Likert scale data of sizing problems. The choices of 12 clothing styles were mapped through four factors which affect the purchasing decision of a plus-size woman.

Poor-fitted clothes at 10 body sites out of the 12 reflected about the fit aspect of plus-size clothing in India. Findings associated to sizing issues like unavailability of trendy clothes in appropriate sizes, which also adorn Indian curvy figure, shows synonymy to the worldwide researcher's findings related to sizing chaos. Classic silhouettes like Straight Indian kurti, A-line dresses and regular-fit trousers were majorly preferred by women. Hiding body bulges was mostly preferred while purchasing loose-fitted garments, and fitted garments were preferred only if these suits to the curvy body proportion. Appropriate fit and size availability are always a prime requisite for this class of women.

The outcomes of research will help Indian retailers/manufacturers to update their patterns in order to provide desired fit. In this lacuna of standard size chart, the study will add value in the development of Indian plus-size women's size chart. The factor mapping with clothing preferences will be useful to reduce rejections and inventories.

This study establishes the principles and process steps of a new basic trousers pattern using measurements obtained according to the rules of the anthropometric measurement system. The newly developed pattern-making system in this study will be called the “Anthropometric Measurements Based Pattern Making System” (AnMePa). It is aimed at producing trousers that are more fitting to the body, thanks to this pattern-making system.

In this research, four pattern-making systems used in many parts of the world were compared with the “Anthropometric Measurements Based Pattern Making System” (AnMePa) with regard to the overall appearance and body fit of trousers prepared according to these systems. 10 virtual mannequins (VM) with different adult female body measurements were created, and trousers patterns were prepared for these mannequins. The trousers’ patterns were made and dressed on the mannequins in a 3D virtual dressing system. The body fit of the virtual garments was evaluated by five experts. The scores given by the experts were evaluated using the fuzzy logic method.

According to the results, it is seen that the new basic trousers pattern developed by utilizing the anthropometric measurement system, AnMePa, provides the best body fit among the basic trousers patterns created according to the other examined pattern-making systems. The combination of 3D virtual dressing and fuzzy logic in the evaluation of garment body fit is considered an innovative method for the future of fashion design and production.

In the developed AnMePa, unlike the existing pattern-making systems, values that can be associated with the body measurements of individuals in a way that could be suitable for each community were used instead of constant values in the pattern-making process. Furthermore, the integration of 3D virtual fitting and fuzzy logic in assessing garment fit is considered a pioneering approach with significant implications for the future landscape of fashion design and production.

The purpose of this study was to assess the body characteristics (body size, garment sizes worn, shape and body satisfaction) of Ethiopian young adult female consumers and their effects on garment fit satisfaction and fit preferences of ready-to-wear garments such as T-shirts, blouses/shirts, skirts and jeans trousers.

Through a structured questionnaire, 418 usable responses were collected from young female university students. One-way analysis of variance (ANOVA) and multivariate ANOVA (MANOVA) were used to examine differences in garment fit satisfaction with the body characteristics of the respondents. Moreover, a multiple regression analysis was used to determine the effect of body characteristics and fit satisfaction on fit preferences in four of the ready-to-wear garments.

The body shapes of above half of the respondents were either bottom hourglass or spoon. The respondents were somewhat dissatisfied with the fit of the ready-to-wear garments, and above 70 per cent of them faced fit problems on average. BMI showed significant fit satisfaction differences in four of the garments, while garment sizes worn were significant only in skirts. However, no statistically significant difference was obtained with body shape. The effect of body characteristics and fit satisfaction on fit preferences was found significant in T-shirts and jeans trousers. The respondents preferred looser shirts and skirts irrespective of their body characteristics.

The paper is unique in comprehensively examining the relationship between body characteristics and garment fit satisfaction and their effects on fit preferences in selected garments in the context of female consumers in a developing country.

The purpose of this study was to explore body shapes among overweight and obese men and examine fit issues based on the current ASTM sizing standards related to the categorized body shapes.

The SizeUSA data and the additional data extracted using the ImageTwin (TC2-19) software were used. To categorize body shapes, principal component (PC) analysis with varimax rotation, hierarchical cluster analysis for an elbow method and K-mean cluster analysis were employed. Comparing the categorized body shapes and ASTM sizing charts, a cross-tabulation was performed to test associations between fit analyses for top and bottom for the body shape groups. Furthermore, an analysis of variance and pairwise comparison were performed to identify differences in mean values of size drops between two body parts across the different body shape groups.

Using a three-dimensional (3D) body scanning technology and 3D virtual avatars, three body shapes for overweight and obese men emerged: Rectangle-curvy, bottom hourglass-hip tilt and top hourglass-straight shapes. Further, overweight and obese male consumers are not likely to find a perfect fit from apparel companies who developed their sizing charts based on the men's and big men's ASTM standards. Notably, the big men's ASTM sizing standard did not work for most overweight and obese men the United States.

Despite the notable increase in the US population that is overweight and obese, most overweight and obese men have had fit problems due to the differences in their body shapes as compared to the standardized body shape used in the current sizing system. The results of this study suggest apparel companies who are targeting overweight and obese male consumers in the United States updating their sizing systems in order to solve fit problems.

The purpose of this study is to explore fit problems, satisfaction and preferences of Ethiopian male consumers of ready-made garments (shirt, polo shirt, sweater and khaki and jeans trousers) and highlight the need for a domestic standard garment size chart.

Using a structured questionnaire, 405 usable responses were collected from consumers in four cities (Bahir Dar, Kombolcha, Dessie and Addis Ababa) based on convenience sampling. Moreover, the pattern-making methods of 12 domestic garment manufacturing companies were investigated. One-way analysis of variance and multivariate analysis of variance were used to examine differences in fit satisfaction with age, body size and shape. Multiple regression was used to test hypotheses.

The participants were mostly neither satisfied nor dissatisfied with the fit of the garments irrespective of their age, body size and shape. While age was found to be insignificant, apparel sizes worn and body shape were found to be significant predictors of fit type in most garments. It was also found that most of the domestic garment manufacturing companies use the knock-off method for pattern making, which results in a bad fit as the basic garment for the knock-off is constructed based on other countries’ standards.

This study investigates the fit problems and preferences of ready-made garments in the context of consumers in a developing country. Moreover, it has a contribution in considering men’s body shape in the analysis of fit preferences. The results have implications for developing domestic standard garment size charts to improve fit satisfaction.

This paper explores the relationships between body type and fit preferences with body cathexis, clothing benefits sought by consumers, and demographic profiles of consumers.

The survey instrument consisted of a questionnaire with scales assessing fit preference, body type, body cathexis, clothing benefits sought and consumer demographics.

Significant associations were found between body cathexis (satisfaction with head/upper body, lower body, height, weight and torso) and body shape. The degree of satisfaction with different body parts depended on the body type of the individual. The level of satisfaction with head/upper body, height and torso did not vary by body type. No significant differences were found between fit preferences and body type for lower body garments.

The majority of respondents were between the ages 18 and 28, affluent Caucasian Americans, with an hourglass body type, who had a family income of $85,000 or more and shopped in department or boutique/specialty stores.

Understanding the fit preferences of female consumers could help apparel companies to produce and meet demands for comfortable and well fitting clothes for women. The results of this research may be used as a first step to develop an expert system to correlate body shape and fit preferences of consumers.

The paper seeks to investigate fit preferences of female consumers in the USA based on the relationship between their fit preferences, body cathexis, fit problems, and personal profiles.

Female subjects (n=1,026) between the ages of 19 and 54 were asked to respond to a questionnaire that was mailed to subjects. The questionnaire was used to evaluate consumer fit preferences for individual garment categories (jackets, pants, skirts, blouses, and jeans) relative to respondents' personal profiles, body shape, and body cathexis. Terminology, fit issues, and elements of fit expressed as important to female consumers as identified in an initial focus group which was part of a larger study associated with this research were considered in development of the questionnaire.

Eighty percent of the sample reported two or more areas of the body where fit problems occurred. One‐third of the respondents altered up to 25 percent of RTW. Semi‐fitted preferences for clothing were reported most often. A significant relationship was found between women who scored high on the body cathexis scale and those who desired more fitted clothing. Body shapes were fairly evenly distributed among all age categories, except for the 19‐35 year old respondents who were more likely to have an hourglass silhouette.

This methodology involved a self‐report of several variables. Items such as body measurements and body shape were subjective. Answers could be inaccurate because of respondents' lack of knowledge of their measurements or their desire to represent a more ideal figure for themselves. Using 3D body scanning to verify body measurements and body shape could provide more accurate results.

The issue of the fit in apparel is critical for both industry and academia. Academia has traditionally examined fit based on expert analysis and is just beginning to investigate the importance of fit from the consumer's viewpoint. In the product development area, industry needs to be able to go beyond just body measurements to incorporate fit preferences based on categorical profiles of consumer groups.

As a construct, fit is difficult to study. This paper identifies variables, constructs a stimulus and investigates women's preferences for fit in various garment categories.

The research evaluated the feasibility of 3D dynamic fit utilizing female compression tops by comparatively analyzing the virtual and actual dynamic fit.

Six female participants were 3D body-scanned and photographed in compression tops in four types of athletic movements (pull-up, kettlebell swing, circle-crunch and sit-up). Fit measurements, waist cross-sectional areas, waist width, waist depth, numerical simulation of clothing pressure (kPa) and objective pressure measurements (kPa) were collected from 3D virtual animation, 3D fit scan data and actual photos with the four types of athletic motions. The data were comparatively investigated between virtual and actual dynamic fit.

The 3D-animated body was not reflected with human body deformation because only bone structure was changed while maintaining the constant forms of muscle and body surface in athletic movements. Due to this consistency of virtual dynamic fit, there were significant differences with the actual dynamic fit at the top length, shoulder width and waist cross-sectional areas. Also, the virtual dynamic pressure indicated significantly higher levels than the objective dynamic pressure while presenting no significant correlations at the front neckline, breast, lateral waist, upper back, back armhole and back waist.

This study is the first to verify multiple aspects of virtual dynamic fit using 3D digital technology. This study provided useful information about which aspects of the current virtual animation need to be improved to apply in the dynamic fit evaluation.

Body shape is a critical variable influencing consumers' garment choices (Zakaria, 2017), yet research investigating how UK females with varying body shapes evaluate and experience fit is limited. Moreover, while digital methods exist to classify female body shapes, application in a commercial setting is limited. To fill this gap within the literature, this study aims to understand the influence of body shape variation on garment fit evaluations of 30 UK females aged 18–34 years.

This study conducts a physical garment try-on session whereby 30 UK females aged 18–34 years were body-scanned and categorised into a body shape, using the Female Figure Identification Technique method. Participants verbalised their fit experiences during a physical try-on session through semi-structured interviews to gain a deeper understanding of individuals' fit appraisals.

The findings demonstrate that UK females who share the same body shape classification experience the same issues when appraising dress fit, challenging Makhanya and Mabuza (2020) who found that body shape does not influence apparel fit satisfaction. The results shed light on the importance of body shape during the fit appraisal process.

Despite the contribution, future research to improve the limitations should be addressed. First, although it was necessary to investigate a UK demographic to address research gaps, the finding of this study cannot be generalised to the entire UK female population nor to other areas of the world. Hence, future research should overcome this limitation by extending this study further to other countries, cultures and ethnicities.

The findings of the present study shed light on the role of body shape in determining satisfactory clothing fit and how females' fit experiences will differ depending on their body shape classification. Thus, fashion retailers should use this insight to better inform their promotional strategies, not only making them more inclusive but also to help assist this particular consumer segment with their clothing decisions based on their body shape.

The present study provides an in-depth understanding of how females with the same body shape experience garment fit, contributing novel findings to the literature through a mixed-method inquiry previously lacking in this area, with a UK demographic which has not previously been explored.

This study aims to investigate the apparel fit preferences of Mexican‐American women between the ages of 18 and 25 years old from the Southwestern USA. The study also seeks to analyze the effect of body shape perception, body mass index, and clothing size on apparel fit preferences.

Data were collected in an online survey using an original fit preference assessment scale. Sampling was restricted in terms of gender, age, subculture, and geography to control for the variability that exists in apparel preferences and the Hispanic market due to these factors. Descriptive and inferential statistics were used to describe the sample's fit preferences for casual pants, tops, skirts, and dresses and to determine whether physical body characteristics impact these preferences.

Overall, young Mexican‐American women preferred semi‐fitted apparel across all garment categories studied. Physical body characteristics tended to impact on the sample's preferences for close and loose‐fitting garments, with respondents who had narrower waists and smaller body sizes more likely to prefer close‐fitting garments. Respondents who had less defined waists and larger body sizes were more likely to prefer loose‐fitting garments.

Many apparel firms wish to create targeted products for the Hispanic consumer, given the substantial growth in the size and purchasing power of this market. However, firms have frequently had to rely on cultural stereotypes due to a lack of information. The study documented in the paper developed an original fit preference scale to obtain important information that can be used to impact on apparel product development for this consumer.