Women's body image throughout the adult life span: a living history approach.
Minsun LeeMary Lynn DamhorstPublished in: Journal of women & aging (2021)
Based on the life course perspective, this study used a mixed method approach to (1) arrive at a deeper understanding of body image in each of three adult life stages among older white women living in a Midwest state of the United States of America, (2) investigate how these women's body images have changed during aging, and (3) identify major life transitions affecting women's body image throughout the adult life span. This study used retrospective, self-reported data. Both open-ended and scale ratings questions were incorporated into the paper-based survey questionnaire. Older white women (n = 102) aged 65 to 94 years completed a survey questionnaire. Written responses to seven open-ended questions assessing the older women's past and current body images were analyzed, and 14 themes emerged. A quantitative scale of body satisfaction with five body attributes was included to provide a validity check with written responses. The women's body images significantly changed across the adult life span, reflecting different body concerns and evaluations at each life stage. This study revealed contrasting results to previous cross-generational comparisons which concluded that women's perceived level of body satisfaction remains stable through life. Many of the women expressed some degree of positive body image at all stages but became less satisfied with several aspects of their bodies as they aged, including aging appearance, decline in physical function, and several health problems. The study provided a general picture of white women's body image development throughout the adult life span.
Keyphrases
- polycystic ovary syndrome
- pregnancy outcomes
- cervical cancer screening
- healthcare
- mental health
- breast cancer risk
- public health
- deep learning
- type diabetes
- adipose tissue
- insulin resistance
- pregnant women
- metabolic syndrome
- depressive symptoms
- big data
- skeletal muscle
- machine learning
- convolutional neural network
- social media
- young adults
- single cell
- human health
- community dwelling
- health information