PurposeThis paper explores the relationships between body type and fit preferences with body cathexis, clothing benefits sought by consumers, and demographic profiles of consumers.Design/methodology/approachThe survey instrument consisted of a questionnaire with scales assessing fit preference, body type, body cathexis, clothing benefits sought and consumer demographics.FindingsSignificant 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.Research limitations/implicationsThe 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.Originality/valueUnderstanding 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 objectives of this study were to examine changes in body weight, body mass index (BMI), body composition, and shape in a group of male and female students over the 4-year college period. Anthropometric assessments including height and weight (via standard techniques), body composition (via bioelectrical impedance analysis), and body shape (via 3-dimensional body scanning) were conducted at the beginning of the freshman year and end of the senior year in 131 college students. Four-year changes included significant (p < 0.0001) gains in weight (3.0 kg), BMI (1.0 kg·m(-2)), body fat (3.6%), and absolute fat mass (3.2 kg). Males gained significantly (p < 0.0001) greater amounts of weight, BMI, percent and absolute fat mass, and fat-free mass than females. Weight change ranged from (-)8.7 to (+)16.8 kg. About 70% of the participants gained weight, which averaged 5.3 kg; significant (p < 0.0001) gains in BMI, fat-free mass, absolute fat mass, and percent body fat and significant (p < 0.0005) increases in neck, chest-bust, waist, hips, seat, and biceps circumferences were also observed in this weight gain group. The percentage of participants classified as overweight-obese increased from 18% to 31%. The number of females and males with ≥30% and 20% body fat, respectively, increased from n = 14 to n = 26 (with n = 4 exhibiting normal weight obesity) over the 4-year period. The waist circumference changes were significantly (p < 0.0001) correlated with both weight and percent body fat changes. In conclusion, the increasing prevalence of obesity and normal weight obesity among this college population suggests the need for additional health promotion strategies on college campuses.
Purpose -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. Design/methodology/approach -Female subjects (n ¼ 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. Findings -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. Research limitations/implications -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. Practical implications -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. Originality/value -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 purpose of this research was to use experts' knowledge to develop a set of scales to assess female body shapes as visualized in body scans, resulting in an instrument that could be applied through software to the analysis of body scan data. Using 42 body scans representing women aged 20-55 years of age, through a series of steps, researchers developed nine scalesfor body shape assessmentfrom front and side views. Three (Body Build, Body Shape, and Posture) were for whole body analysis, and six (Front Torso Shape, Hip Shape, Shoulder Slope, Bust Shape, Buttocks Shape, Back Curvature) were for analysis of component body parts. For validation, five experts used the Body Shape Assessment Scale (BSAS©) to rate 100 additional body scans. These ratings were used to program software to classify female body scan data using the BSAS©.
Freshmen weight gain is associated with increases in body fat and waist circumference, which may be troublesome should the trend continue throughout college.
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