Abstract
The ageing process has both psychological and physiological effects on women, and tactical choices are often made regarding beauty interventions to mask the outward signs of increasing age. The bra is believed to counteract the negative effects of ageing on the breast and alter the perceptions of one’s body. Due to the profound anatomical changes to the breast with increasing age, this paper aimed to examine the influence of ageing on women’s perceptions of their breasts and their bra preferences. 208 women aged 45–65 years were surveyed about their breasts, their bras and how they felt ageing may have influenced these. The findings showed 80 % of women surveyed had noticed a significant change in their breasts with ageing, just 7 % of the women surveyed were still proud of their breasts and 84 % of women dressed to look younger. Further, over 50 % of respondents would now not wear the bra they had worn in their twenties, indicating a change in bra preferences with age. The bra variables of primary importance to participants were: comfort, the bra’s ability to stay in place, optimal fit, appearance under clothing, support, discreetness, shoulder strap design, silhouette, breast shape, fabric and breast lift. These variables are perceived as being influential in the appropriateness of the bra and its social role for mature women; therefore, it is these bra variables that should be the focus of subsequent research regarding the optimisation of bras for women aged 45–65 years.
Keywords: Survey, Breast health, Older women, Age-appropriate clothing
Introduction
The social obsession with youthfulness is well documented, with mature women in particular feeling pressured to overtly battle the signs of increasing age (Baltes and Carstensen 1996; Clarke and Griffin 2008; Clarke et al. 2009; Oberg and Tornstam 1999; Twigg 2007). Beauty interventions are one method women undertake in response to the ageing process and include hair dye, make-up and cosmetic surgery (Clarke and Griffin 2008). Such outward appearance interventions may mask a woman’s chronological age and allow competition for romantic partners, employment and social recognition (Clarke et al. 2009; Clarke and Griffin 2008). Despite this, mature women are traditionally cited to have little place in fashion and clothing literature (Twigg 2007) due to social demands for youth, although clothing has an influence on outward appearance and subsequently society’s perception of a mature woman (Clarke et al. 2009).
The clothing preferences of mature women have been neglected in the literature (Twigg 2007). In particular, bra preferences have been ignored, despite the bra being used as a social tool to uplift the breast into a more youthful appearance and reduce the signs of increasing age (Sukumar 2007). Research has also found 46 % of women aged 35–65 years to be dissatisfied with their upper torso and breast area (Deeks and McCabe 2001; McLaren and Kuh 2004). More recent research showed that the bra is used by older women to ‘alter the perception of one’s body’ and ‘improve self-confidence’ (Risius et al. 2012, p. 373). The function of a bra is to reduce breast ptosis (sag) by lifting the breast and present a more pert, youthful breast shape, which is commonly seen as more attractive and acceptable in society (Risius et al. 2012). Bra-related literature has typically centred on younger women and rarely considers the role of the bra among older women (Risius et al. 2012), and the influence of ageing on a woman’s perception of her breasts and bra preferences remains poorly understood.
It is important that clothing be appropriate to an individual’s physiology (Twigg 2007). Anatomical research has identified profound changes within the female breast with increasing age (Rosen 2001). Ageing is cited to influence the volume, density and constitution of the breast tissue (Tonkelaar et al. 2004). A combination of glandular atrophy, increased skin laxity and weakened breast ligaments (known as Cooper’s ligaments) causes an inferior lateral migration of the breast (Brown et al. 1999). These anatomical changes alter the size, shape and internal support of the breast and occur in relation to the hormonal changes seen due to ageing and the menopause (Rosen 2001). With lingerie both stimulating and reflecting various aspects of a woman’s identity, the impact of these age-related changes upon a women’s perception and experience of femininity and sexuality are believed to subsequently influence her bra preferences (Tsaousi and Brewis 2012).
Although the experience of ageing in individuals is diverse, women have been found to identify their breasts as a ‘distressing’ change due to ageing (McLaren and Kuh 2004, p. 48). In a broad spectrum, ageing is cited to cause a loss of self-esteem, insecurity in relationships and perceived invisibility (Clarke and Griffin 2008). However, perception of the type of change in relation to the bra requirements of mature women has not been detailed. Moreover, ageing may influence bra design preferences, consumer behaviour and opinion of the bra market (Paulson and Willig 2008; Risius et al. 2012; Sukumar 2007). Any psychological changes with age may be similarly influential with regard to the perception of bra performance. For example, Risius et al. (2012) detailed the influence of psychological aspects on the perceived performance of a bra, stating that a good bra has the capability to improve self-confidence by ‘altering the perceptions of one’s body’. Therefore, if a bra impacts upon the way a woman’s body is viewed, preferences for bras may adapt to match the self-perception of one’s body.
Clarke et al. (2009) found women to differentiate between clothing alternatives for different age ranges, observing that their choice of colour and style had been influenced by their change in body shape. It is believed that brassieres should be designed based on specific shapes, populations and usages, whereas many bras on the market are currently advertised to a population too broad for their purpose (Krenzer et al. 2005), and may not elicit optimal self-confidence for all women. Therefore, by understanding the consumer preferences and requirements of each subpopulation, bras may be designed to more appropriately reflect individual woman’s femininity and character (Tsaousi and Brewis 2012).
The bra was the most advertised underwear item of the 1950s, and designs were predominantly pink and cone shaped (Caldwell 1981). Fashion has greatly adapted since then, and mature women have acknowledged these changes, claiming they previously would not ‘have been seen dead in what (they are) wearing now’ (Paulson and Willig 2008, p. 117). The participant interviewed in Paulson and Willig’s (2008) study referred to the post-war style as ‘so old-fashioned now’, suggesting her change in clothing choice was influenced by fashion culture, rather than physical differences due to ageing. This indicates the bra preferences of women may change over time; indeed, recent research has found that the majority of mature consumers hold different priorities for fashion garments than younger consumers (Birtwistle and Tsim 2005; Risius et al. 2012). Despite this finding, the current lingerie market revolves around designs for younger women that mature women often perceive to be inappropriate for their current physique and personality, due to inappropriate colour, cut or style of the clothing (Twigg 2012).
Risius et al. (2012) explored influential factors of lingerie purchasing in mature women and presented a broad view of factors which may influence bra purchasing, including the importance of the bra fitter’s knowledge, shop environment and lack of time when shopping. Indeed, many of the data themes in Risius et al.’s (2012) study were not directly related to bra performance and, therefore, give little insight to assessing a bra’s performance for mature women. The findings presented by Risius et al. (2012), in combination with the anatomical shift of the breast with ageing and perceptions of femininity (Clarke and Griffin 2008), suggest it may be appropriate for lingerie to be designed and marketed specifically for mature women. In order to design population-specific bras, it is necessary to understand the variables that mature women consider when purchasing and wearing a bra.
Kim et al. (2004) used a survey design to determine variables that women wanted from a bra and a corresponding importance rating for each of these variables. Kim et al. (2004) found that bra fit, breast shape, aesthetic properties of the bra, pressure sensation, movement of the bra, strap-related properties and overall sensation were primary bra considerations. Whilst informative, Kim, Hong and Scheurell’s study sampled women aged 30–40 years and did not include bra considerations of mature women or the effects of menopausal transition on self-confidence or femininity, thus missing a key subgroup with unique characteristics which may need addressing with regard to bra design.
The growing body of research indicates both psychological and physiological changes among women aged 45–65 years, incorporating both self-perception of breast-related changes and society’s judgement of mature women’s breasts. Therefore, the present study aimed to contribute to the literature by exploring variables that are key to bra satisfaction for mature women and provide fundamental information on which subsequent bra-related literature may focus. In addition, the study presented here aimed to explore women’s perception of how ageing has influenced their breasts and understand the role of the bra for mature women in a modern, British society. The study also identifies practical areas of importance that may be used to improve the design of bras for mature women and subsequently improve their self-confidence and self-perception (Risius et al. 2012).
Methodology
This study received institutional ethical and scientific approval from the BioSciences Research Ethics Committee (ref: BSREC 2010/001) prior to data collection.
Sample
Participants were initially recruited via an advertisement through the institutional intranet and subsequently through word of mouth. It is acknowledged that the generalisability of the study suffers the same limitations of any convenience sample; the influence of socio-cultural positioning is excluded, participants tend to feel strongly about an issue to volunteer and favour a particular outcome (Sousa et al. 2004). However, a convenience sample was adopted to help maximise response rate, in addition, surveys were posted and included a prepaid addressed envelope to return the completed survey (Dillman et al. 1993). The inclusion criteria of the study were listed on the front cover of the survey, and these were: United Kingdom-based females, having experienced no surgical procedures to their breasts or undergone any form of clinical breast treatment at any time, wore a bra on a daily basis and not having given birth or breast fed in the last year.
All participants were between 45 and 65 years of age. The rationale for this age range emanated from previous research, which has used it as a standard for the mature consumer (Birtwistle and Tsim 2005; Hsieh 2011; Risius et al. 2012). A total of 260 surveys were sent out to potential participants, of which 214 were returned. Three of these surveys were returned blank, one respondent was aged 44 years and two had experienced some form of breast surgery and, therefore, did not meet the inclusion criteria for this study. A total of 208 usable surveys were, therefore, returned, resulting in a valid response rate of 80 %. Responses came from a wide geographic area across the United Kingdom.
Procedures and measures
In order to address the research aims, a survey was developed in accordance with Hinkin’s (1995) theory on scale development. A thorough literature search was conducted to discover any bra-related variables that may be of importance to women (Risius et al. 2012). For example, using strong and non-abrasive material was cited as important in sports bras (McGhee and Steele 2006); therefore, a question was included regarding the importance of appropriate fabric in an everyday bra. As seen in previous bra-related surveys, questions regarding respondents’ demographics (age, mass, menopausal status and activity level), purchasing habits and bra fitting history were also included in order to develop a wider understanding of the population (Bowles et al. 2008; Liang 2008). In addition, questions regarding hormone replacement therapy (HRT) use, bra size and parity were included, as these variables have a potential influence on the anatomy and ageing process of the breast. This collective demographic information on participants represents the factual and historical information about their life which may physically impact upon their breasts and influence their opinions and bra preferences. Such demographic information will subsequently be referred to as ‘participant characteristics’.
A combination of selected responses (tick box), specific responses (written answers) and scaled (rate on a scale of one to five) questions was used. Based on the literature of survey scales, numerical analogue scales (NAS) with extreme value descriptors were selected to assess the importance of performance variables (listed in Table 1). A NAS length of one to five was selected in order to minimise confusion and response fatigue for participants and maximise response rate (Hasson and Arnetz 2005; Hinkin 1995). This scale format also matched those previously used in breast-related surveys (Kim et al. 2004). In accordance with suggestions in the literature, the questions were displayed in two columns on each page, in sanserif typeface, no questions were split between pages and all options were in a vertical arrangement in bold font (Frazer and Lawley 2000). Headed paper was also used for all surveys to enhance the trustworthiness and give a professional appearance (Gillham 2007).
Table 1.
Participant ratings of the bra variables, presented from the largest to the smallest percentage of participants rating the criterion as important
| Performance variable | Mode | Percent rating as important | Percent rating as neutral | Percent rating as unimportant |
|---|---|---|---|---|
| Comfort | 5 | 99 | 1 | 1 |
| Bra stays in place | 5 | 97 | 3 | 0 |
| Fit | 5 | 93 | 5 | 1 |
| Appearance under clothes | 5 | 86 | 9 | 5 |
| Support | 5 | 84 | 10 | 6 |
| Discreetness | 4 | 80 | 16 | 4 |
| Shoulder straps | 4 | 73 | 21 | 6 |
| Torso silhouette | 4 | 77 | 17 | 7 |
| Breast shape | 4 | 76 | 19 | 4 |
| Fabric | 4 | 66 | 19 | 14 |
| Breast lift | 4 | 62 | 29 | 9 |
| Colour | 3 | 43 | 36 | 21 |
| Price | 3 | 41 | 42 | 17 |
| Matching underwear | 1 | 24 | 26 | 51 |
| Brand | 1 | 12 | 24 | 64 |
Those deemed key variables, based on a mode value of four or five, are presented in italic
A female researcher trained in research methods to a postgraduate level and a woman that met the study’s inclusion criteria examined the survey for important omissions or inappropriate wording of items (Litwin 1995). As a result of this, minor changes were made to the survey, included adding the statement ‘This survey should take no longer than ten minutes to complete’. Two questions were re-worded to clarify their meaning, and four additional questions were added based on the feedback; these were: duration of breast feeding, current shop of choice for bras, describe your favourite bra and activities when breast support is important. The survey was subsequently provided to a group of 11 women to predict the approximate time taken by participants to complete all answers, which was found to be approximately 10 min (Frazer and Lawley 2000).
Data analysis
Participant characteristics are presented as means and standard deviations, and results of categorical questions are expressed as the percentage of participants in each response group (one to five) (Godwin et al. 1998). The ordinal scale questions were subjected to a mode calculation of central tendency, which has been proposed as the optimal method (Blaikie 2003; Clegg 1998; Jamieson 2004). The bra performance variables that are key to bra satisfaction for mature women were, therefore, determined using the modes from the numerical analogue scales (one to five) (Blaikie 2003; Clegg 1998; Garland 1991; Jamieson 2004). It has been suggested that numerical analogue scales show directionality of opinion, rather than finite values; therefore, variables with a mode of four or five are deemed important and rated as key variables and those with a mode below this are deemed unimportant (Garland 1991; Liu and Arnett 2000). If participants left a question blank or their response was unclear, it was omitted and defined as a missing value in order to avoid affecting the results (Gillham 2007).
In order to address the aim of identifying practical areas of importance to improve bra design, principal component analysis (PCA) with varimax rotation (v16.0; SPSS Inc., Chicago, IL, USA) was conducted on the numerical analogue data in order to observe any commonality between key performance variables. This allowed Spearmans rho correlations of factors identified in PCA to be conducted with the following participant characteristics: age, cup size, band size, hormone replacement therapy (HRT) use and parity, with a Bonferroni correction factor applied (p < .01).
Results
Participant characteristics
The 208 respondents spanned across the 20 year inclusion category age range (mean 56.3 ± 5.7 years); self-reported body mass averaged 67.9 ± 12.1 kg. The majority of women were postmenopausal (69 %, n = 143); pre- and peri-menopausal women were near equal in number (14 %, n = 29 and 16 %, n = 32, respectively). Eleven percent (n = 22) of the women were taking HRT. Reported bra sizes ranged from a European band size 70–100 cm and European cup size A to K (70A to 100C and 70A to 85K, respectively) with a mode bra size of 80C. The average number of pregnancies was two (44 %, n = 91), and 86 % (n = 152) of these women breast fed for an average of 6 months. Twelve percent (n = 25) of women that responded had had no pregnancies. The majority of women reported themselves as being moderately active (53 %, n = 109), but 56 % (n = 116) of participants did not own a sports bra. Most women experienced no mastalgia (breast pain) (87 %, n = 171). Of those who did suffer with mastalgia, 63 % did nothing to relieve their mastalgia, 17 % home treated with paracetamol, 10 % took evening primrose oil capsules which are reported to help ease mastalgia (Davies et al. 1998) and just one out of all the women suffering with mastalgia had been to her doctor.
Self-perception of breasts
Seventy-seven percent of women viewed their breasts as part of their femininity, less than 1 % cent perceived them as a tool for seduction, just 7 % of women were proud of their breasts and 8 % of women disliked their breasts. Exactly half of women were unhappy with their age, with only 16 % of women responding that they did not try to look younger. When asked ‘of all the physical changes you have experienced through ageing, how significant has the change to your breasts been?’, just 20 % of women responded ‘not at all’. Therefore, four out of five women associated ageing with a change to their breasts. When asked what the key change had been in their breasts, the top three responses were sagging (28 %), an increase in size (24 %) and feeling less firm (10 %). These responses are noteworthy, because this question was open ended and provided no list of options to choose from.
When asked whether they had noticed any change in breast size since the age of 45 years, the majority of women reported an increase in size (51 %, n = 106). However, 39 % (n = 80) reported no size change and just 10 % (n = 21) reported a decrease in size. Only 10 % of respondents reported their breasts becoming more sensitive/painful since the age of 45 years, with 17 % reporting a decrease in sensitivity and 73 % reporting no change.
Perception of bras
When asked if they would have worn their current bras in their twenties, 43 % (n = 88) said no. Similarly, when asked if they would now wear the bras they had worn in their twenties, 62 % (n = 126) said no. Table one shows the bra variables included in the survey. PCA was conducted on the 11 key bra variables. Inspection of the Scree plot revealed a turning point at the third component; it was, therefore, decided that two factors would be included in further analysis. Varimax rotation revealed a simple structure (Field 2009); the two components explained a total of 39 % of the variance, with component one contributing 24 % and component two contributing 15 %. Items regarding the wearer’s perception (support, comfort, fit, stays in place, shoulder straps, fabric and discreetness) load strongly on factor two, whereas items regarding other’s perception (silhouette, appearance under clothes, shape and lift) load strongly on factor one (Table 2). The factors were, therefore, interpreted as ‘internal’ and ‘external’ bra-related factors, respectively.
Table 2.
Factor loading in principal component analysis
| Item | Component | |
|---|---|---|
| 1 | 2 | |
| Silhouette | .799 | .202 |
| Appearance under clothes | .737 | .151 |
| Shape | .721 | .229 |
| Lift | .504 | .152 |
| Support | −.003 | .733 |
| Comfort | −.173 | .727 |
| Fit | .185 | .784 |
| Stays in Place | .084 | .597 |
| Straps | −.085 | .530 |
| Fabric | .213 | .456 |
| Discreetness | .253 | .353 |
| Total variance explained | 24.1 % | 15.1 % |
Bold text indicates the highest loading factor for each bra performance variable
In order to determine whether there was a significant relationship between the participant characteristics: age, cup size, band size, HRT use and parity and their rating of internal and external bra-related factors, Spearmans rho correlations were conducted. Results indicate that the only significant effect was seen between bra cup size and internal bra-related factors (Table 3).
Table 3.
Correlation coefficients of factors one and two (external and internal) with age, cup size, band size, HRT use and parity
| External factors (r s value) | Internal factors (r s value) | |
|---|---|---|
| Age | .052 | .065 |
| Cup size | −.045 | .169* |
| Band size | −.034 | .093 |
| HRT use | −.080 | −.012 |
| Parity | .040 | −.003 |
* p < .05
Discussion
The present study aimed to explore mature women’s perception of their breasts and their bra requirements in order to provide information that may elicit improved bra designs for this population. The results indicate women aged 45–65 years are aware of a physical change in their breasts and experience a change in the perception of their breasts and a difference in bra preferences in comparison to their younger selves. Further, this sample perceived 11 key bra performance variables to influence the appropriateness of a bra for mature women. These were: comfort, bra’s ability to stay in place, bra fit, bra’s appearance under clothing, breast support, discreetness, shoulder straps, upper torso silhouette, breast shape, bra fabric and breast lift.
The results indicate that 84 % of women in the present study tried to mask their age or look younger, and just 7 % of women surveyed were proud of their breasts. This indicates that older women in this study were not happy with the current appearance of their breasts. However, given the bra has been identified as a tool to alter the perceptions of one’s body and reduce the effects of ageing (Clarke and Griffin 2008; Risius et al. 2012), an improved bra design for women aged 45–65 years may increase pride in their breasts and subsequently improve self-confidence (Risius et al. 2012). The results also show that 77 % of women surveyed viewed their breasts as a part of their femininity. It is understood than bras may reflect and impact upon a number of self-related themes, such as sexuality, femininity and modesty, and, despite the common perception that the bra should not be outwardly visible (Tsaousi and Brewis 2012; Risius et al. 2012), a bra should be an expression of that identity (Tsaousi and Brewis 2012). In order to harmonise the bra with individual perceptions of femininity and breasts, bra designs for older women should centre on feminine designs. These findings indicate that the age resistance of mature women and the strategic clothing choices made to hide true age may be a factor for women aged 45–65 years (Clarke et al. 2009; Twigg 2007).
The findings show that 50 % of women were unhappy with their age and that 80 % of women had noticed some significant change in their breasts with ageing. Previous research has cited changes to the breast as a contributing factor to unhappiness with general increasing age (McLaren and Kuh 2004; Risius et al. 2012); therefore, it may be inferred that a suitable choice of bra to reduce the signs of ageing may improve a woman’s happiness (Clarke et al. 2009). Bras may need to be designed to cope with the specific breast changes due to age, such as sagging (28 %) and reduced firmness (10 %). Addressing these bra requirements of the mature women’s breast could improve breast shape, lift and torso silhouette, which are rated as key bra variables for women in this age range, and may potentially have health-related implications. For example, without appropriate breast lift for the ptotic breast, the distribution of weight on the upper torso may cause postural adaptation or costoclavicular syndrome, which is prevalent in heavy-breasted older women (De Silva 1986).
Important aspects of bra design are dually centred on internal and external factors. Specifically, the internal wearer’s perception (e.g. support, comfort, fit, stays in place, shoulder straps, fabric and discreetness) and external bra factors related to the perception of others (e.g. silhouette, appearance under clothes, shape and lift) were important aspects. Although previous literature (Dewsnap and Hart 2004; Liang 2008; Liao and Lee 2010; Singer and Grismaijer 2006; Yip et al. 2007) indicates a separation between self-perception and society’s perception, this study is the first to determine bra-related performance variables of this nature based on survey results and statistical analysis. The external factors of importance identified here are those that may affect the youthful appearance of the breast and, therefore, how others may perceive a woman. Although bra research has not previously grouped such variables through factor analysis, assumptions have been made in past research that reflect both internal and external factors, for example, the description of a perception-driven scale of ‘utilitarian’ to ‘glamourous’ bras, the ‘functional’ and ‘visual’ properties of a bra and ‘intrinsic’ and ‘extrinsic’ cues when purchasing bras (Dewsnap and Hart 2004; Liang 2008; Liao and Lee 2010; Singer and Grismaijer 2006; Yip et al. 2007).
It has been suggested that the weighting on internal and external bra-related factors may be influenced by social occasion and intended use of the bra, for example, having different bras for day time and evening use, dependent on clothing and occasion (Dewsnap and Hart 2004). The current study supports this extant literature, as 49 % of women aged 45–65 years reported owning different bras for daytime and evening usage. Bra manufacturers may, therefore, need to provide bras designed based on a combination of aesthetic (external factors) and functional (internal factors) concerns so that they are appropriate for different social occasions for women aged 45–65 years. The priority of these combined factors should be investigated further, to determine the weighting of a woman’s discursive femininity expressed by her choice of bra during each occasion (Clarke and Griffin 2008).
Previous research has shown a discrepancy in breast size changes around menopause. The majority of literature reports a reduction in size of the breasts after menopause (Rosen 2001), although some lingerie experts have reported an increase of approximately one to two cup sizes in population breast size after 40 years of age (Tonkelaar et al. 2004).The results of the current study show that 51 % of respondents had experienced an increase in breast size since the age of 45 years, a greater percentage than previous research, which found just 18 % of women required a larger bra size after menopause (Tonkelaar et al. 2004). The current study did not aim to explore the source of changes in breast size; however, previous literature has attributed the changes to a combination of menopause and general weight gain (Tonkelaar et al. 2004). Discrepancy in the literature regarding the effect of ageing on breast size creates difficulty in understanding mature women’s bra requirements (Rosen 2001; Katch et al. 2005; Tonkelaar et al. 2004). The majority of current bras are manufactured based on sample sizes of a pert 75B prototype model, with some companies also fitting one larger size (Hardaker and Fozzard, 1997); sizes are then heuristically scaled up or down based on this prototype size. Literature would suggest that the youthful body is the ‘norm’ not only within the aesthetic and visual world (Clarke and Griffin 2008; Clarke et al. 2009; Twigg 2007), but also within the manufacturing world. Just as the mature consumer is typically excluded from media advertisements and erotic roles, the consideration of breast ptosis or postural changes within older women is not mentioned in the literature regarding bra design (Hardaker and Fozzard 1997). As women’s body shape alters with age (Ashdown and Na 2008), the potential for poor brassiere fit may increase. These age related changed should be researched and considered by the apparel industry to enhance the availability of well-fitting brassieres for older women.
Irrespective of age, a significant correlation was found between the participant characteristic cup size and internal bra factors (r s = .169, p = .016), indicating women aged 45–65 years with larger cup sizes, rated bra support, comfort, fit, bra’s ability to stay in place, shoulder straps, fabric, discreetness and brand as more important than women of smaller cup sizes. This is in concordance with previous research that shows larger breasts require greater support (Gehlsen and Albohm 1980; Lorentzen and Lawson 1987) and that bra fitting with larger cup sizes can be more troublesome than smaller cup sizes (Greenbaum et al. 2003). From a fundamental perspective, inter-cup size differences indicate that breast support research should assess women of different cup sizes separately, as recent research has adopted (Scurr et al. 2011), due to the different support requirements and perceived importance of breast support. Interestingly, external factors did not correlate with the participant characteristics assessed (Table 3), suggesting no change in the importance of a woman’s silhouette, appearance in clothes, breast lift or breast shape with changing bra size, age, HRT use or parity. This may relate to the consistent stereotype of youthful beauty in modern society and reflect the broad marketing approach of bras, which despite the acknowledged need for differing designs for older women (Clarke et al. 2009), persuade the bra consumer of a generic end goal to reach what is globally accepted as attractive (Krenzer et al. 2005).
The present results show that 62 % of women would not now wear the bras they had worn in their twenties, and 43 % stated they would not have worn their current bra when they were in their twenties. The explanation for this was beyond the scope of the present study, however, future research might consider either a change in preferences or a change in physical bra needs with increasing age, as proposed by Twigg (2007), who discussed an interplay between cultural factors and biological factors influencing clothing choice. Future research may wish to investigate this further, particularly so from a marketing and psychological health perspective. With regard to bra aesthetics and clothing choice, the most common bra colours among the population were white, nude and black. Previous research has suggested that the colour of a bra can carry a social message, and colours described as ‘young’ include purple, yellow and pink and ‘older’ colours include black, white and off-white (Sukumar 2007). Sukumar’s (2007) theorised ‘age of colour’ phenomenon was explained by the mature woman’s aversion to bright colours; it was claimed that bright colours make these women feel uneasy, and they find comfort in duller colours (Sukumar 2007). Although colour was not listed as a key bra variable, this finding indicates that bras for women aged 45–65 years typically maintain neutral tones, rather than brighter colours. The style of bra most commonly worn by this population was a non-padded, underwire bra. Liang (2008) also indicated that mature women prefer non-padded underwire bras, whereas younger women more commonly wear padded, underwire bras. These findings indicate a need for longitudinal research to track the changes in bra preferences over time, rather than independent cross-sectional designs being implemented. In addition, the socioeconomic variation among mature British women could be an aspect for future investigation. Although price was not a key performance variable for bra satisfaction, the quality of materials and production reflected in the pricing may impact upon end product satisfaction.
The findings presented here indicate that women aged 45–65 years acknowledge a change in their breasts and subsequently their bra requirements. Self-perception may be negatively influenced by the age-related changes in the breast, as only 7 % of the women surveyed were proud of their breasts, with the majority viewing them as part of their personal femininity. The key bra variables for women of this age range were identified as: comfort, bra’s ability to stay in place, fit, appearance under clothes, support, discreetness, shoulder straps, torso silhouette, breast shape, bra fabric and breast lift. It is, therefore, advised that everyday bras may be required to encompass the bra requirements of different age ranges. It is also advised that these 11 bra variables be the focus of subsequent studies regarding breast health and bra optimisation for women aged 45–65 years, as these are the most important considerations for bra satisfaction. By investigating these 11 bra variables for women aged 45–65 years, bra designs may be made more appropriate for women of this age (Risius et al. 2012).
Acknowledgments
The research team would like to acknowledge Playtex® for sponsoring this research. The financial sponsors were partly involved in the survey design; all execution, analysis and interpretation of data were solely conducted by the researchers.
References
- Ashdown S, Na H. Comparison of 3-D body scan data to quantify upper-body postural variation in older and younger women. Cloth Text Res J. 2008;26:292–307. doi: 10.1177/0887302X07309131. [DOI] [Google Scholar]
- Baltes MM, Carstensen LL. The process of successful ageing. Ageing Soc. 1996;16:397–422. doi: 10.1017/S0144686X00003603. [DOI] [Google Scholar]
- Birtwistle G, Tsim C. Consumer purchasing behaviour: an investigation of the UK mature women’s clothing market. J Consum Behav. 2005;4:453–464. doi: 10.1002/cb.31. [DOI] [Google Scholar]
- Blaikie N. Analyzing quantitative data. London: Sage Publications Limited; 2003. [Google Scholar]
- Bowles KA, Steele JR, Munro B. What are the breast support choices of Australian women during physical activity? Br J Sports Med. 2008;42:670–674. doi: 10.1136/bjsm.2008.046219. [DOI] [PubMed] [Google Scholar]
- Brown TP, Ringrose C, Hyland RE, Cole AA, Brotherston TM. A method of assessing female breast morphometry and it’s clinical application. Br J Plast Surg. 1999;52:355–359. doi: 10.1054/bjps.1999.3110. [DOI] [PubMed] [Google Scholar]
- Caldwell D. And all was revealed: ladies’ underwear 1907–1980. New York: St Martin’s; 1981. [Google Scholar]
- Clarke LH, Griffin M. Visible and invisible ageing: beauty work as a response to ageism. Ageing Soc. 2008;28:653–674. doi: 10.1017/S0144686X07007003. [DOI] [Google Scholar]
- Clarke LH, Griffin M, Maliha K. Bat wings, bunions, and turkey wattles: body transgressions and older women’s strategic clothing choices. Ageing Soc. 2009;29:709–726. doi: 10.1017/S0144686X08008283. [DOI] [Google Scholar]
- Clegg F. Simple statistics. Cambridge: Cambridge University Press; 1998. [Google Scholar]
- Davies EL, Gateley CA, Miers M, Mansel RE. The long-term course of mastalgia. J R Soc Med. 1998;91:462–464. doi: 10.1097/00007611-199805000-00010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- De Silva M. The costoclavicular syndrome: a new cause. Ann Rheum Dis. 1986;45:916–920. doi: 10.1136/ard.45.11.916. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Deeks AA, McCabe MP. Menopausal stage and age and perceptions of body image. Psychol Health. 2001;16:367–379. doi: 10.1080/08870440108405513. [DOI] [Google Scholar]
- Dewsnap B, Hart C. Category management: a new approach for fashion marketing. Eur J Mark. 2004;38:809–834. doi: 10.1108/03090560410539267. [DOI] [Google Scholar]
- Dillman D, Sinclair M, Clarke J. Effects of questionnaire length, respondent-friendly design, and a difficult question on response rates for occupant-addressed census mail surveys. Public Opin Q. 1993;57:289–304. doi: 10.1086/269376. [DOI] [Google Scholar]
- Field AP. Discovering statistics using SPSS. London: SAGE Publications Incorporated; 2009. [Google Scholar]
- Frazer L, Lawley M. Questionnaire design & administration. Brisbane: Wiley; 2000. [Google Scholar]
- Garland R. The mid-point on a rating scale: is it desirable? Mark Bull. 1991;2:66–70. [Google Scholar]
- Gehlsen G, Albohm M. Evaluation of sports bras. Phys Sports Med. 1980;8:85–96. doi: 10.1080/00913847.1980.11948653. [DOI] [PubMed] [Google Scholar]
- Gillham B. Developing a questionnaire. 2. London: Continuum International Publishing Group; 2007. [Google Scholar]
- Godwin Y, Wood SH, O’Neill TJ. A comparison of the patient and surgeon opinion on the long-term aesthetic outcome of reduction mammaplasty. Br J Plast Surg. 1998;51:444–449. doi: 10.1054/bjps.1997.0081. [DOI] [PubMed] [Google Scholar]
- Greenbaum AR, Heslop T, Morris J, Dunn KW. An investigation of the suitability of bra fit in women referred for reduction mammaplasty. Br J Plast Surg. 2003;56:230–236. doi: 10.1016/S0007-1226(03)00122-X. [DOI] [PubMed] [Google Scholar]
- Hardaker C, Fozzard G. Communications: the bra design process: a study of professional practice. Int J Cloth Sci Technol. 1997;9:311–325. doi: 10.1108/09556229710175795. [DOI] [Google Scholar]
- Hasson D, Arnetz BB. Validation and findings comparing VAS vs. likert scales for psychosocial measurements. Int Electron J Health Educ. 2005;8:178–192. [Google Scholar]
- Hinkin TR. A review of scale development practices in the study of organizations. J Manag. 1995;21:967–988. [Google Scholar]
- Hsieh C. Money and happiness: does age make a difference? Ageing Soc. 2011;31:1289–1306. doi: 10.1017/S0144686X10001431. [DOI] [Google Scholar]
- Jamieson S. Likert scales: how to (ab)use them. Med Educ. 2004;38:1212–1218. doi: 10.1111/j.1365-2929.2004.02012.x. [DOI] [PubMed] [Google Scholar]
- Katch L, Campaigne B, Freedson P, Sady S, Katch F, Behnke A. Contribution of breast volume and weight to body fat distribution in females. Am J Phys Anthropol. 2005;53:93–100. doi: 10.1002/ajpa.1330530113. [DOI] [PubMed] [Google Scholar]
- Kim J, Hong K, Scheurell DM. Applying QFD in the development of sensible brassiere for middle aged women. J Korean Soc Cloth Text. 2004;28:1596–1604. [Google Scholar]
- Krenzer G, Starr C, Branson D. Development of a sports bra prototype: pattern works international best solution to a patternmaking problem 2000. Cloth Text Res J. 2005;23:131–134. doi: 10.1177/0887302X0502300206. [DOI] [Google Scholar]
- Liang X (2008) An investigation into the pressures and sensations caused by wearing a bra and the influence of these on bra fitting. Doctoral Dissertation, De Montfort University
- Liao C, Lee C. The application of codesign in new bra product innovations. Int J Cloth Sci Technol. 2010;22:211–227. doi: 10.1108/09556221011018676. [DOI] [Google Scholar]
- Litwin M. How to measure survey reliability & validity. London: Sage Publications Ltd; 1995. [Google Scholar]
- Liu C, Arnett K. Exploring the factors associated with web site success in the context of electronic commerce. Inf Manag. 2000;38:23–33. doi: 10.1016/S0378-7206(00)00049-5. [DOI] [Google Scholar]
- Lorentzen D, Lawson L. Selected sports bras: a biomechanical analysis of breast motion while jogging. Phys Sports Med. 1987;15:128–139. doi: 10.1080/00913847.1987.11709355. [DOI] [PubMed] [Google Scholar]
- McGhee DE, Steele JR. How do respiratory state and measurement method affect bra size calculations? Br J Sports Med. 2006;40:970–974. doi: 10.1136/bjsm.2005.025171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McLaren L, Kuh D. Body dissatisfaction in midlife women. J Women Aging. 2004;16:35–54. doi: 10.1300/J074v16n01_04. [DOI] [PubMed] [Google Scholar]
- Oberg P, Tornstam L. Body images among men and women of different ages. Ageing Soc. 1999;19:629–644. doi: 10.1017/S0144686X99007394. [DOI] [Google Scholar]
- Paulson S, Willig C. Older women and everyday talk about the aging body. J Health Psychol. 2008;13:106–120. doi: 10.1177/1359105307084316. [DOI] [PubMed] [Google Scholar]
- Risius D, Thelwell R, Wagstaff C, Scurr J. Influential factors of bra purchasing in older women. J Fash Mark Manag. 2012;16:366–380. [Google Scholar]
- Rosen PP. Rosen’s breast pathology. 2. Philadelphia: Lippincott Williams & Wilkins; 2001. [Google Scholar]
- Scurr JC, White JL, Hedger W. Supported and unsupported breast displacement in three dimensions across treadmill activity levels. J Sports Sci. 2011;29:55–61. doi: 10.1080/02640414.2010.521944. [DOI] [PubMed] [Google Scholar]
- Singer SR, Grismaijer S. Dressed to kill the link between breast cancer and bras. New York: Avery Publishing Group; 2006. [Google Scholar]
- Sousa V, Zauszniewski J, Musil C. How to determine whether a convenience sample represents the population. Appl Nurs Res. 2004;17:130–133. [PubMed] [Google Scholar]
- Sukumar S. The bra and the Indian woman’s notion of sexuality. J Creat Commun. 2007;2:267–278. doi: 10.1177/097325860700200301. [DOI] [Google Scholar]
- Tonkelaar I, Peeters P, van Noord P. Increase in breast size after menopause: prevalence and determinants. Maturitas. 2004;48:51–57. doi: 10.1016/j.maturitas.2003.10.002. [DOI] [PubMed] [Google Scholar]
- Tsaousi C, Brewis J. Are you feeling special today? Underwear and the ‘fashioning’ of female identity. Cult Organ. 2012;19:1–21. doi: 10.1080/14759551.2011.634196. [DOI] [Google Scholar]
- Twigg J. Clothing, age and the body: a critical review. Ageing Soc. 2007;27:285–305. doi: 10.1017/S0144686X06005794. [DOI] [Google Scholar]
- Twigg J. Adjusting the cut: fashion, the body and age on the UK high street. Ageing Soc. 2012;32:1008–1029. doi: 10.1017/S0144686X11000754. [DOI] [Google Scholar]
- Yip J, Law D, Wong Z (2007) An investigation of intimate apparel buying behaviour among fashion conscious and non-fashion conscious Chinese Hong Kong female consumers. Paper presented at the 2007 Annual Institutional Research Meeting, Feng Chia University
