No abstract

The purpose of this study was to explore physical limitations and clothing problems among working women with physical disabilities to determine whether types of physical limitations are linked to specific clothing problems. The sample included 117 working women with a variety of disabilities. Principle Components Factor Analysis and Multiple Regression were used to analyze the data. Three distinct factors emerged to represent clothing problems (called Design, Materials Performance, and Dressing) and four distinct factors emerged to represent physical limitations (called Limbs/Outer Extremities, Central Core/Torso, Central Nervous System, and Intellect, Vision and Hearing). Regression analysis showed that the physical limitations impact each of the three clothing factors. The study extends research by focusing on an underserved market segment and providing the apparel industry with a potential method of addressing the needs of that market. The study also contributes to interdisciplinary research by further developing an Inclusive Design model for apparel product development.

The highest prevalence for self-reports of being very depressed in the months after delivery was in women who reported that their pregnancy was a "very hard time" or "one of the worst times of my life." Clinicians need to be aware of the needs of some women for mental health services both during and after pregnancy.

The purpose of this research was to assess money spent and calories consumed by college students from fast food restaurants located on and around a southern college campus. A convenience sample (n = 152) of undergraduate college students (aged 18 -24) at a southern university participated in a survey that measured dietary intake from seven local fast food chains using a researcher developed food frequency questionnaire and a lifestyle behavior survey that collected data on health practices. A strong positive correlation was found between total monthly fast food expense and total monthly fast food caloric consumption (r(150) = 0.94, p < 0.05), indicating a significant linear relationship between the two variables. An independent-samples t test comparing the mean monthly fast food restaurant expense males to females found a significant difference between the two groups (t(150) = 4.19, p < 0.05). The more money spent by college students contributed to a higher amount of calories consumed from fast food in a typical month. Future research needs to determine if college students are contributing to the high obesity rate and if limiting fast food restaurants on and around college campuses would help decrease fast food consumption in college students.