Next Article in Journal
The Effect of Hydrolyzed and Fermented Arabinoxylan-Oligo Saccharides (AXOS) Intake on the Middle-Term Gut Microbiome Modulation and Its Metabolic Answer
Previous Article in Journal
Evaluation of the Pragmatic Implementation of a Digital Health Intervention Promoting Healthy Nutrition, Physical Activity, and Gestational Weight Gain for Women Entering Pregnancy at a High Body Mass Index
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Evidence-Based Lifestyle Guidelines and Self-Management Strategies Utilized by Women with Polycystic Ovary Syndrome

1
Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC 3168, Australia
2
Nutrition Department, West Chester University of Pennsylvania, West Chester, PA 19383, USA
3
School of Life and Health Sciences, Department of Life Sciences, University of Roehampton, London SW15 5PH, UK
4
Eastern Health Clinical School, Monash University, Box Hill, VIC 3128, Australia
5
Health and Social Care Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
*
Author to whom correspondence should be addressed.
Nutrients 2023, 15(3), 589; https://doi.org/10.3390/nu15030589
Submission received: 29 December 2022 / Revised: 16 January 2023 / Accepted: 16 January 2023 / Published: 22 January 2023
(This article belongs to the Section Nutrition in Women)

Abstract

:
Polycystic ovary syndrome (PCOS) is a complex endocrine disorder, affecting 13% of reproductive-aged women. While lifestyle management is the first-line treatment for improving complications, women experience challenges with implementation. This cross-sectional study aims to identify the types and sources of dietary and physical activity (PA) interventions implemented by women with PCOS and understand how they use self-management strategies to support lifestyle change. An online questionnaire was disseminated via a consumer-based PCOS website (May 2015–2016). Women (n = 1167) were aged 18–45 years and primarily born within the United States (70%). A quarter or less of women (diet 25%, PA 14%) sought lifestyle advice from health professionals (medical clinicians or dietitians) compared to over half (diet 59%, PA 67%) using alternative sources, namely from online platforms. While only 33% and 16% of women reported following formal dietary or PA guidelines, respectively, 57% had implemented a ‘special diet’ to manage their condition, many of which were inconsistent with evidence-based practice in PCOS. Participants also displayed a low level of engagement with important self-management behaviors, including goal setting and positive self-talk. These findings suggest that online information may promote inaccurate and ineffective lifestyle advice and emphasize the need to increase engagement with qualified health professionals.

1. Introduction

Polycystic ovary syndrome (PCOS) is a complex and common endocrine disorder, affecting up to 13% of reproductive-aged women [1,2]. Features of PCOS include reproductive (infertility and pregnancy complications) [3], metabolic (metabolic syndrome, type 2 diabetes, and cardiovascular disease) [4], and psychological (depression, anxiety, disordered eating, and poor quality of life) complications and morbidity [5,6]. Insulin resistance (IR) is an intrinsic pathophysiological feature in the etiology of PCOS that is mechanistically distinct from IR associated with obesity, affecting up to 75% of lean women with PCOS. However, excess weight also exacerbates the presentation of PCOS likely through the contribution of extrinsic IR [7]. This is concerning given that women with PCOS have a higher prevalence of overweight and obesity [8,9]. There are many proposed mechanisms that predispose women with PCOS to weight gain [10], including the effects of hyperinsulinemia on ovarian androgen production, with hyperandrogenism favoring abdominal fat disposition [11]. While the relationship between IR, hyperandrogenism, and weight is complex and still not fully understood, it is well established that lifestyle management is a first-line treatment in PCOS [12].
The 2018 PCOS Evidence Based Clinical Guidelines recommend lifestyle management for improving reproductive, metabolic, and psychological complications [13]. Lifestyle is a construct that could consider a range of traditional, complementary, and integrative medicine (TCIM) therapies such as psychological and sleep interventions, acupuncture, and supplement use [14]. However, with regards to the 2018 PCOS Evidence Based Guidelines, lifestyle is currently defined as those designed to improve dietary intake or physical activity (PA) [15,16,17] through appropriate behavioral support (e.g., goal setting, monitoring, use of reinforcements) [18,19,20]. While it is important to recognize the broader concepts of lifestyle, this study uses the traditional definition outlined in current guidelines.
Although effective lifestyle management is a key component of PCOS care, evidence of higher longitudinal weight gain in community populations [8] and high attrition rates in clinical weight management interventions [19] suggests that women with PCOS experience challenges with dietary and PA management. This indicates a clear need to better understand how women with PCOS engage with evidence-based dietary and PA interventions. Their exposure to and utilization of information that promotes effective and accurate lifestyle behaviors needs to be better characterized. An international study in 1385 women with PCOS reported that very few women (12%) were satisfied with the information received about lifestyle interventions from their primary health care providers [21]. Emerging research also suggests women with PCOS are resorting to the internet and social media as their primary source of lifestyle information, rather than recognized health professionals [22,23]. As women increasingly turn to online platforms for health education, they are tasked with the job of filtering the accuracy and quality of the enormous quantities of information available online [24]. This exposes them to potentially ineffective and harmful advice [22,23] that may have detrimental impacts on the successful implementation of lifestyle change.
Traditionally, nutrition information was disseminated almost solely by qualified health experts, trained to utilize counselling approaches that employ a range of cognitive (e.g., positive-self talk and goal setting) and behavioral (e.g., having healthy foods easily available) self-management strategies [25] to improve lifestyle outcomes [26,27,28]. Self-management reflects an individual’s responsibility for the daily conduct of health behaviors, helping them to mitigate their own condition through the promotion of self-efficacy (an individual’s belief that they themselves can execute behaviors) [29,30]. Women are particularly vulnerable to psychological factors that can reduce self-efficacy, such as poor self-esteem and self-doubt, which detrimentally affects their ability to implement lifestyle change [31,32]. In order to avoid disease-related complications, regulate symptoms, and reduce the severity of disease, self-management strategies that counter negative thoughts and improve support from family/friends should be targeted in PCOS [20]. However, previous research reported that only a limited number of PCOS websites provided advice on self-management strategies [33]. These findings suggest that online PCOS lifestyle recommendations may not only indorse misinformation but may also fail to promote self-management strategies required to achieve sustainable lifestyle change.
To date, there is a paucity of recent studies that examine the information sources used by women with PCOS when implementing lifestyle modification [22,23]. Even fewer studies have characterized the types of self-management strategies employed to optimize behavioral change in this population [34]. This study aimed to: (i) identify the types and sources of dietary and PA interventions utilized by women with PCOS and (ii) characterize the behavioral and cognitive self-management strategies utilized by women with PCOS when implementing dietary or PA interventions.

2. Materials and Methods

2.1. Sample Population

In this online cross-sectional study, women with PCOS were recruited (May 2015–May 2016) through the PCOS Nutrition Centre (a consumer-based website) and at two PCOS symposiums (Atlanta and Philadelphia) hosted by the largest non-profit PCOS organization, PCOS Challenge: The National Polycystic Ovary Syndrome Association.
Women were eligible to participate if they were aged 18–45 years, were not pregnant or breastfeeding for up to six months prior to completing the survey, and self-reported a diagnosis of PCOS. This study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving human subjects were approved by the Institutional Review Board of West Chester University (ID 20151020). Written informed consent was obtained from all participants prior to initiating the survey.

2.2. Data Collection

The survey consisted of 97 questions, and the data analyzed in this study were taken from three separate sections: demographics; knowledge and sources of diet and PA information; and self-management strategies for PCOS.

2.2.1. Demographics

Demographic data included self-reported age, race, country of birth, medical history, and anthropometry. Medical history included PCOS diagnosis, symptoms/features of PCOS, medications, and co-morbidities. BMI categories were calculated according to the World Health Organization (WHO) criteria [underweight (<18.5 kg/m2), healthy weight (18.5–24.9 kg/m2), overweight (25–29.9 kg/m2), or obese (≥30.0 kg/m2)]. Weight changes were assessed by asking participants if their weight had increased or decreased by more than 5 pounds (2.3 kg) in the past 3 months, of which women answered yes or no.

2.2.2. Knowledge and Sources of Diet and Physical Activity Information

The questions used to assess knowledge and sources of diet and PA information are presented in the Supplementary Material (Appendix A). The questions were developed by the researchers and tested for usability and face validity. Briefly, the questions were piloted on clinicians, researchers, and women with PCOS. Feedback pertaining to their interpretation of the questions was then incorporated into the final questionnaire, which was retested prior to its use in this study.
Participants were asked questions relating to: (i) their awareness of any national and international lifestyle guidelines for PCOS management; (ii) whether they followed any formal diet or PA guidelines to manage their PCOS (e.g., Dietary and Physical Activity Guidelines for Americans [35,36], Dietary Approach to Stop Hypertension (DASH) [37], information provided by the American Diabetes Association [38], and the Physical Activity Guidelines for Americans [36]); (iii) whether they followed any special diets to help manage their PCOS (e.g., low carbohydrate, vegetarian, or gluten free diets); (iv) whether they engaged in regular physical activity; and (v) where they sourced information for the dietary and PA plans they followed (e.g., from health professionals including doctors and registered dietitian nutritionist (RDN) or from alternative sources such as websites and social media).
Most questions were provided in a close-ended multiple-choice format, where participants were asked to choose from a distinct set of pre-defined responses. However, some questions also contained open-ended options that allowed participants to provide a written response. Specifically, for questions relating to the use of formal dietary guidelines and sources of dietary and PA advice, if none of the pre-defined answers were appropriate, participants were given the option to select ‘other’ and provide a written response. For participants who reported engaging in regular PA, they were also given the opportunity to provide a written response outlining the type and/or frequency of PA undertaken.

2.2.3. Self-Management Questionnaire

Diet and PA self-management strategies were assessed using the diet and PA self-management scale derived from the validated scale by Saelens et al. [30]. The questionnaire aims to understand the types and frequencies of self-management strategies used to best manage personal behavior change. This comprised of 16 questions for diet and 12 questions for PA, with each being categorized according to behavior or cognitive strategies. Scoring of each strategy was completed using a Likert scale with a range of 1 (never), 2 (occasionally), 3 (often), 4 (very often), and 5 (always). Higher scores therefore indicated more frequent use of diet and PA self-management strategies.

2.3. Data Analysis

All quantitative analyses were completed using the Statistical Package for Social Sciences (SPSS), version 22.0 (IBM, Armonk, NY, USA). Normality of data were assessed visually using histograms. Descriptive statistics for categorical data were reported using frequencies and continuous data (e.g., age and BMI) were reported using means and standard deviations (all continuous data were parametrically distributed). For the self-management questionnaire, mean scores were calculated for each strategy. Overall diet and PA self-management scores were measured as the mean of all 16 diet and 12 PA strategy Likert scales.
Qualitative analyses of open-ended questions were undertaken using conventional content analysis [39]. There were 120 written responses which were independently coded by two researchers (SC and CM) using an inductive approach. Codes were then reduced to categories, providing a clearer understanding of the breadth of responses relating to the types of diet and PA plans followed and the sources of lifestyle information utilized.

3. Results

A total of 1627 adult women with self-reported PCOS were recruited and 1167 women (72%) who completed 75% of the questionnaire were included in the final analysis.

3.1. Demographics

Demographics and medical history are reported in Table 1 and Table 2. The mean ± SD age of the participants was 32 ± 7 years. They were mostly white (78%) and born in the United States (70%). Body weight and BMI were 206.0 ± 56.4 lb. (93.6 kg) and 34.3 ± 8.9 kg/m2, respectively. Most participants were overweight (18%) or obese (65%) and had experienced a weight change of more than 5 lb. in the last 3 months (71%).
Women reported that their PCOS diagnosis was most commonly confirmed by a gynecologist (55%), followed by a general practitioner (21%) and endocrinologist (19%). Menstrual irregularities occurred in 86% of women, with 62% taking medication(s) to regulate their menstrual cycle or promote ovulation (31% using oral contraceptives and 38% metformin). Excess body hair was reported by 81% of participants and acne by 56%. Lastly, several co-morbidities were present, with the most commonly reported conditions including infertility (38%), hypercholesterolemia (15%), and hypertension (15%).

3.2. Knowledge and Sources of Diet and Physical Activity Information

Knowledge of formal diet and PA guidelines and special diets followed by participants are reported in Table 3. Almost all (93%) of the respondents were not aware of any specific PCOS national or international lifestyle guidelines. While 33% of women reported having followed formal dietary guidelines, the majority (58%) of these women did not select the pre-defined evidence-based diets listed, instead reporting that they followed ‘other’ guidelines. Content coding of written responses revealed that these ‘other’ guidelines included diets where women had completed their own research and were following recommendations with limited evidence in PCOS management, such as paleo or ketogenic diets. Similarly, over half of women (57%) reported following a ‘special diet’ to help manage their PCOS. Although some of these ’special diets’ were consistent with recommended evidence-based practice for PCOS [13] (such as low glycemic index (37%) and low-energy (20%) diets), many did not reflect recommendations utilized by health professionals in PCOS management (including low-carbohydrate (63%), gluten-free (32%), and dairy-free (30%) diets).
Only 13% of the respondents were aware of the 2008 Physical Activity Guidelines for Americans, and 16% reported following formal PA guidelines to manage their PCOS symptoms. Despite the lack of knowledge and utilization of formal PA guidelines, over half (52%) reported engaging in regular exercise. A combination of strength and cardio training was the most popular type of exercise (59%), followed by a combination of different cardio exercises (16%) and walking (14%).
Sources of dietary and PA recommendations are reported in Figure 1. Dietary plans were recommended by a health professional for 25% of women, with the majority sourcing their information through physicians (64%) and only 24% through an RDN. For the 24% of women who reported sourcing their information from ‘other’ health professionals, content coding of written responses highlighted the scope of health professionals providing dietary advice, including endocrinologists, acupuncturists, and personal trainers (presented in the Supplementary Material, Appendix B, Table A1). Of those sourcing dietary advice through alternative avenues (59%), almost half (44%) accessed dietary recommendations from the internet and 19% specifically used social media websites.
A total of 14% of participants received PA advice from a health professional, with physicians (92%) and health coaches (31%) being the most popular sources of information. Over two-thirds of women (67%) sourced their PA plan from alternative avenues, with half of these women (50%) using the internet and social media. For the 27% of women who reported obtaining their exercise plans from ‘other’ alternative avenues, content coding of written responses revealed 73% were using their own form of research (Supplementary Material, Appendix B, Table A1).

3.3. Dietary and Physical Activity Self-Management Strategies

The self-management strategies utilized by participants when implementing diet and PA interventions are reported in Table 4. The overall self-management scores for diet and PA behavioral change were similar (2.99 ± 1.22 and 2.96 ± 1.27, respectively).
When implementing dietary behavioral change, the least frequently utilized strategies across both cognitive and behavioral domains included seeking information from a health professional (2.09 ± 1.19), tracking food intake (2.62 ± 1.23), and using positive self-talk (2.79 ± 1.28). Conversely, the most frequently utilized strategies included reading labels when choosing foods (3.50 ± 1.23), making plans to change diet/drinking habits (3.39 ± 1.10), and looking for information about nutrition and healthy eating (e.g., online, books, magazines, etc.) (3.30 ± 1.31).
When implementing PA behavioral change, women struggled to make back-up plans (2.10 ± 1.20), seek support from friends and family (2.40 ± 1.30), and get back on track after failing to achieve their goals (2.54 ± 1.23). However, participants were more consistent at knowing when to do more activity (3.64 ± 1.14), thinking about the benefits of being active (3.64 ± 1.10), and keeping track of how much PA is undertaken each week (3.39 ± 1.24).

4. Discussion

We report here novel findings from a large community-based sample of women with PCOS that the majority of women do not follow formal diet or PA guidelines for PCOS management, use the internet as their primary source of lifestyle information, and display a low level of engagement with self-management behaviors required for optimal PCOS care.
Over two thirds of participants were not following formal evidence-based dietary or PA guidelines to manage their PCOS. As best practice in PCOS care promotes the use of national lifestyle guidelines [35,36], lack of engagement with qualified health professionals and poor uptake of evidence-based recommendations may reflect the general publics’ waning trust and growing disinterest of government-initiated health messages [11,40,41,42]. This growing skepticism of government recommendations may be heightened in women with PCOS, who consider Dietary Guidelines for Americans [22,43,44] and dietary information provided by health professionals [21,22,45,46] to be too broad or inadequate at managing their unique needs. Furthermore, a large international study including 1385 women with PCOS reported that only 12% were satisfied with the lifestyle advice they received through their healthcare provider at the time of diagnosis [21]. The one-size-fits-all approach promoted by generic lifestyle guidelines may be less able to satisfy the preferences of women with PCOS who prefer a more personalized and specific disease management plan [44,47,48].
More than half of participants in this study used the internet and social media as their primary source of diet and PA information. The increased reliance on online platforms for health advice is not a phenomenon unique to PCOS. Previous research has reported that consumers, in particular women, are twice as likely to access nutrition information online than through nutrition professionals [49] and expressed that the online advice was more detailed, specific, and interesting than advice provided by dietitians [49]. However, as the general public lacks the training and skills required to appropriately evaluate health content, they may struggle to distinguish between biased sources and evidence-based information [50]. This is especially true for online health content, where unlimited and autonomous access to unregulated online platforms exposes the public to a large amount of inaccurate information [24,51]. Previous research by Chiu et al. [52] reported only a limited number of PCOS websites provide accurate and reliable lifestyle management information in accordance with evidence-based guidelines. This paucity may contribute to misconceptions surrounding a healthy lifestyle. Previous research reported women with PCOS follow a range of unhealthy and potentially ineffective lifestyle habits to manage their condition [53], which is supported by our findings that participants followed diets promoting the exclusion of core food groups, including paleo, ketogenic, and elimination diets. While some of these diets (e.g., low FODMAP and dairy free) may be indicated in certain medical conditions (e.g., irritable bowel syndrome or food allergy management), overall, there is limited evidence available to support their efficacy in PCOS management [54]. Furthermore, for the almost half (42%) of women who selected ‘other’ when reporting they followed formal dietary guidelines to help manage their PCOS, many of these women referred to dietary advice that was inconsistent with established recommendations (e.g., following paleo and ketogenic diets). This further suggests that women may be confused as to what dietary strategies are considered best practice in PCOS management.
Information obtained through online websites and social media sites may also fail to incorporate important self-management techniques required for sustainable behavioral change [55,56,57,58]. Previous research has reported only 53% of websites providing lifestyle advice for PCOS management recommended supportive measures for behavioral modification, including goal setting, self-monitoring, and social support [33]. This indicates almost half of the lifestyle recommendations available on PCOS websites do not promote self-efficacy [29] to implement and sustain behavioral change [59,60]. By contrast, health professionals, including dietitians, physiotherapists, and exercise physiologists, are ideally trained to implement theory-based behavioral change strategies that acknowledge and foster responsibility for self-care [59,61,62]. In the present study, there were a number of self-management strategies that were only occasionally utilized by participants, including seeking support from health professionals, seeking support from friends and family, and positive self-talk. These all relate to behavioral strategies outlined within social cognitive theory [63] and self-regulation models of behavior change [64], which may aid in improving the psychological features (e.g., poor body image and self-esteem) thought to detrimentally impact women’s self-efficacy [31,32].

5. Strengths and Limitations

We acknowledge this study relied on participants’ self-report of a PCOS diagnosis with no specific inclusion or exclusion criteria. However, with 66% of participants reporting irregular or absent menstrual cycles, and previous research showing a positive correlation between self-reported irregular menstrual cycles and a formal PCOS diagnosis [8], this would limit misclassification of PCOS. This study was also limited by the possibility of self-selection bias, particularly by those with internet access and interest in study participation. Research was conducted predominantly in women residing within the United States who were fluent in English. The population was not racially or ethnically diverse and findings may therefore not be generalizable to real-world community settings. We also recognize that future exploration regarding the uptake and utilization of lifestyle interventions should include a broader range of lifestyle therapies such as sleep and TCIM, especially given growing consumer interest in more holistic approaches to care [14].
This study also has several strengths. This is one of very few studies to characterize the sources of evidence-based and non-evidence-based lifestyle information and self-management strategies utilized by women with PCOS when implementing behavioral change. We were able to reach a large sample size of women residing within the community. As the survey was voluntary and anonymous, the results are likely to reflect the authentic views of women with PCOS in the community. A validated questionnaire was used to assess self-management strategies.

6. Conclusions

Our research has demonstrated that healthcare professionals are not the primary source of lifestyle information for women with PCOS, with the internet and social media more commonly utilized for diet and PA advice. This may expose women with PCOS to misinformation that can contribute to unhealthy and/or ineffective lifestyle behaviors. It also may diminish their use of important self-management strategies, having detrimental effects on their self-efficacy and ability to sustain behavioral change over the longer-term.

7. Future Recommendations

As gynecologists, endocrinologists, and general practitioners are often the first line of contact following a PCOS diagnosis, they are best placed to improve the uptake of evidence-based lifestyle recommendations and support behavioral change. However, research suggests doctors have limited time in consultations and may lack confidence in discussing lifestyle management [65]. It is therefore crucial to improve the use of referral strategies to allied health professionals (including dietitians, exercise physiologists, and psychologists) who can support the adoption of intensive and complex lifestyle interventions [13]. PCOS is a heterogenous group and future research should also investigate the efficacy of lifestyle and medical management across clinical phenotypes to improve treatment responsiveness and tailoring [66,67,68]. There is also a clear need for health professionals to diversify their communication and increase their engagement with online PCOS-focused lifestyle content. Working alongside women to improve the acceptability of online evidence-based resources may help to increase patient access to reliable and credible online education and online forums for social support [69].

Author Contributions

Substantial contributions to the conception or design of the work: L.M., A.G., L.M.C. and Y.J.; contributions to the acquisition of data: A.G., L.M.C. and J.H.; contributions to the analysis or interpretation of data: S.C., A.G., L.M.C., Y.J., S.L., S.P., J.H., C.M. and L.M.; revising the manuscript critically for important intellectual content: all authors. Final approval of the version to be published: all authors. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by a National Heart Foundation Future Leader Fellowship to L.M. (grant number 101169), NHMRC Early Career Fellowship to S.L. (grant number 1139481), and an NHMRC Centre for Research Excellence (grant number 1078444) and Partnership Grant (grant number 1133084). The National Heart Foundation and NHMRC had no role in the design, analysis, or writing of this article.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board of West Chester University (ID 20151020).

Informed Consent Statement

Written informed consent has been obtained from the patient(s) to publish this paper.

Data Availability Statement

The data presented in this study are available upon request from the corresponding author.

Acknowledgments

The authors would like to thank all the women who took part in this study.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A—Questions Included in Survey Instrument Relating to Knowledge and Sources of Diet and Physical Activity Information

Awareness of PCOS Lifestyle Guidelines
Are you aware of any specific national or international government guidelines for having a healthy lifestyle (diet and physical activity) for women with PCOS?
  • Yes
  • No
Knowledge of Formal Dietary Guidelines, Special Diets Followed and Sources of Diet Information
Do you currently follow any formal nutrition guidelines to manage your PCOS?
  • Yes
  • No
If yes, have you ever used any of the following nutritional guidelines to manage your PCOS?
  • The Dietary Guidelines for Americans
  • My Plate
  • Dietary Approaches to Stop Hypertension (DASH)
  • American Heart Association
  • American Diabetes Association
  • American Cancer Association
  • Other
If you selected other, please specify below:
___________________________________
Do you currently follow a special type of diet?
  • Yes
  • No
If yes, please select from the list below:
  • Low energy/calories
  • Low fat
  • Low carbohydrate/high protein
  • Low glycemic/glycemic load
  • Gluten free
  • Dairy free
  • Soy free
  • Ketogenic
  • Vegetarian/vegan
  • Paleolithic/paleo diet
  • High omega-3
  • Low FODMAPs
Was this diet recommended to you by a health care professional?
  • Yes
  • No
If yes, who recommended this diet to you?
  • Doctor
  • Nurse
  • Registered Dietitian
  • Nutritionist
  • Health Coach
  • Naturopathic Doctor
  • Other
If you selected other, please specify below:
___________________________________
If a health care professional did not recommend this diet to you, where did you get the nutrition information for this diet?
  • Family
  • Friends
  • Websites
  • Social Media
  • Television
  • Radio
  • Other
If you selected other, please specify below:
___________________________________
Knowledge of Formal Physical Activity Guidelines and Sources of Physical Activity Information
Do you currently follow any published physical activity guidelines to manage your PCOS?
  • Yes
  • No
Are you aware of the 2008 Physical Activity Guidelines for Americans?
  • Yes
  • No
Do you currently exercise regularly?
  • Yes
  • No
If so, what does it involve?
___________________________________
Was this exercise plan recommended to you by a healthy professional?
  • Yes
  • No
If no, from whom or where did you get the information for this exercise plan from?
  • Family
  • Friends
  • Websites
  • Social Media
  • Television
  • Radio
  • Other
If you selected other, please specify below:
___________________________________
If yes, who recommended this exercise plan to you?
  • Doctor
  • Nurse
  • Registered Dietitian
  • Nutritionist
  • Health Coach
  • Naturopathic doctor
  • Other
If you selected other, please specify below:
___________________________________

Appendix B

Table A1. Sources of information for diet and physical activity plans followed by women with polycystic ovary syndrome—findings from content coding of written responses.
Table A1. Sources of information for diet and physical activity plans followed by women with polycystic ovary syndrome—findings from content coding of written responses.
Category aValue b
‘Other’ health professionals (not listed as pre-defined answers) that provided diet advice
Endocrinologist5.8 (4)
Acupuncturist2.9 (2)
Allergist1.4 (1)
Fertility specialist1.4 (1)
Functional medical doctor1.4 (1)
Personal trainer1.4 (1)
Holistic practitioner1.4 (1)
Did not provide a written response84.1 (58)
‘Other’ health professionals (not listed as pre-defined answers) that provided physical activity advice
Exercise physiologist or physiotherapist30.6 (15)
Personal trainer24.5 (12)
Endocrinologist8.2 (4)
Chiropractor or kinesiologist6.1 (3)
PCOS forum 2.0 (1)
Did not provide a written response71.4 (35)
‘Other’ alternative sources (not listed as pre-defined answers) that provided diet advice
Books or magazines20.0 (29)
Conducted own research17.2 (25)
Personal trainer 3.4 (5)
Weight loss program2.1 (3)
Combination (e.g., books, friends, and websites)1.4 (2)
Others with PCOS1.4 (2)
PCOS forum0.7 (1)
Did not provide a written response46.2 (67)
‘Other’ alternative sources (not listed as pre-defined answers) that provided physical activity advice
Conducted own research72.8 (155)
Personal trainer 12.7 (27)
Employment3.3 (7)
Books or magazines1.9 (4)
Government guidelines (e.g., NHS)0.9 (2)
Wii fit console 0.5 (1)
Did not provide a written response92.0 (196)
a Categories were developed using conventional content analysis. b Data were reported using % (N). Percentages are expressed as a proportion of the ‘other’ category (e.g., of the 23.5% of women who selected ‘other’ when asked whether they sort dietary advice from a health professional, 5.8% received their advice from an endocrinologist).

References

  1. Ricardo, A.; Enrico, C.; ZiJiang, C.; Andrea, D.; Joop, L. Polycystic ovary syndrome. Nat. Rev. Dis. Prim. 2016, 2, 16057. [Google Scholar]
  2. Bozdag, G.; Mumusoglu, S.; Zengin, D.; Karabulut, E.; Yildiz, B.O. The prevalence and phenotypic features of polycystic ovary syndrome: A systematic review and meta-analysis. Hum. Reprod. 2016, 31, 2841–2855. [Google Scholar] [CrossRef]
  3. Goodarzi, M.O.; Dumesic, D.A.; Chazenbalk, G.; Azziz, R. Polycystic ovary syndrome: Etiology, pathogenesis and diagnosis. Nat. Rev. Endocrinol. 2011, 7, 219–231. [Google Scholar] [CrossRef]
  4. Moran, L.J.; Misso, M.L.; Wild, R.A.; Norman, R.J. Impaired glucose tolerance, type 2 diabetes and metabolic syndrome in polycystic ovary syndrome: A systematic review and meta-analysis. Hum. Reprod. Update 2010, 16, 347–363. [Google Scholar] [CrossRef] [Green Version]
  5. Blay, S.L.; Aguiar, J.V.A.; Passos, I.C. Polycystic ovary syndrome and mental disorders: A systematic review and exploratory meta-analysis. Neuropsychiatr. Dis. Treat. 2016, 12, 2895. [Google Scholar] [CrossRef] [Green Version]
  6. Cooney, L.G.; Lee, I.; Sammel, M.D.; Dokras, A. High prevalence of moderate and severe depressive and anxiety symptoms in polycystic ovary syndrome: A systematic review and meta-analysis. Hum. Reprod. 2017, 32, 1075–1091. [Google Scholar] [CrossRef] [Green Version]
  7. Stepto, N.K.; Cassar, S.; Joham, A.E.; Hutchison, S.K.; Harrison, C.L.; Goldstein, R.F.; Teede, H.J. Women with polycystic ovary syndrome have intrinsic insulin resistance on euglycaemic–hyperinsulaemic clamp. Hum. Reprod. 2013, 28, 777–784. [Google Scholar] [CrossRef] [PubMed]
  8. Teede, H.J.; Joham, A.E.; Paul, E.; Moran, L.J.; Loxton, D.; Jolley, D.; Lombard, C. Longitudinal weight gain in women identified with polycystic ovary syndrome: Results of an observational study in young women. Obesity 2013, 21, 1526–1532. [Google Scholar] [CrossRef]
  9. Lim, S.S.; Davies, M.J.; Norman, R.J.; Moran, L.J. Overweight, obesity and central obesity in women with polycystic ovary syndrome: A systematic review and meta-analysis. Hum. Reprod. Update 2012, 18, 618–637. [Google Scholar] [CrossRef]
  10. Moran, L.J.; Lombard, C.B.; Lim, S.; Noakes, M.; Teede, H.J. Polycystic ovary syndrome and weight management. Women’s Health 2010, 6, 271–283. [Google Scholar] [CrossRef] [Green Version]
  11. Patterson, R.E.; Satia, J.A.; Kristal, A.R.; Neuhouser, M.L.; Drewnowski, A. Is there a consumer backlash against the diet and health message? J. Am. Diet. Assoc. 2001, 101, 37–41. [Google Scholar] [CrossRef] [PubMed]
  12. Moran, L.J.; Pasquali, R.; Teede, H.J.; Hoeger, K.M.; Norman, R.J. Treatment of obesity in polycystic ovary syndrome: A position statement of the Androgen Excess and Polycystic Ovary Syndrome Society. Fertil. Steril. 2009, 92, 1966–1982. [Google Scholar] [CrossRef] [PubMed]
  13. Teede, H.J.; Misso, M.L.; Costello, M.F.; Dokras, A.; Laven, J.; Moran, L.; Piltonen, T.; Norman, R.J. Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Hum. Reprod. 2018, 33, 1602–1618. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Cowan, S.; Lim, S.; Alycia, C.; Pirotta, S.; Thomson, R.; Gibson-Helm, M.; Blackmore, R.; Naderpoor, N.; Bennett, C.; Ee, C.; et al. Lifestyle management in polycystic ovary syndrome–beyond diet and physical activity. BMC Endocr. Disord. 2023, 23, 14. [Google Scholar] [CrossRef] [PubMed]
  15. Lamb, J.D.; Johnstone, E.B.; Rousseau, J.A.; Jones, C.L.; Pasch, L.A.; Cedars, M.I.; Huddleston, H.G. Physical activity in women with polycystic ovary syndrome: Prevalence, predictors, and positive health associations. Am. J. Obstet. Gynecol. 2011, 204, 352.e1–352.e6. [Google Scholar] [CrossRef]
  16. Qublan, H.S.; Yannakoula, E.K.; Al-Qudah, M.A.; El-Uri, F.I. Dietary intervention versus metformin to improve the reproductive outcome in women with polycystic ovary syndrome. Saudi Med. J. 2007, 28, 1694–1699. [Google Scholar]
  17. Stamets, K.; Taylor, D.S.; Kunselman, A.; Demers, L.M.; Pelkman, C.L.; Legro, R. SA randomized trial of the effects of two types of short-term hypocaloric diets on weight loss in women with polycystic ovary syndrome. Fertil. Steril. 2004, 81, 630–637. [Google Scholar] [CrossRef]
  18. Eiben, G.; Lissner, L. Health Hunters—An intervention to prevent overweight and obesity in young high-risk women. Int. J. Obes. 2006, 30, 691–696. [Google Scholar] [CrossRef] [Green Version]
  19. Lim, S.S.; Hutchison, S.K.; Van Ryswyk, E.; Norman, R.J.; Teede, H.J.; Moran, L.J. Lifestyle changes in women with polycystic ovary syndrome. Cochrane Database Syst. Rev. 2019, 2019, CD007506. [Google Scholar] [CrossRef]
  20. Lombard, C.B.; Deeks, A.A.; Ball, K.; Jolley, D.; Teede, H.J. Weight, physical activity and dietary behavior change in young mothers: Short term results of the HeLP-her cluster randomized controlled trial. Nutr. J. 2009, 8, 17. [Google Scholar] [CrossRef] [Green Version]
  21. Gibson-Helm, M.; Teede, H.; Dunaif, A.; Dokras, A. Delayed diagnosis and a lack of information associated with dissatisfaction in women with polycystic ovary syndrome. J. Clin. Endocrinol. Metab. 2017, 102, 604–612. [Google Scholar] [CrossRef] [Green Version]
  22. Humphreys, L.; Costarelli, V. Implementation of dietary and general lifestyle advice among women with polycystic ovarian syndrome. J. R. Soc. Promot. Health 2008, 128, 190–195. [Google Scholar] [CrossRef] [PubMed]
  23. Mousiolis, A.; Michala, L.; Antsaklis, A. Polycystic ovary syndrome: Double click and right check. What do patients learn from the Internet about PCOS? Eur. J. Obstet. Gynecol. Reprod. Biol. 2012, 163, 43–46. [Google Scholar] [CrossRef] [PubMed]
  24. Ramachandran, D.; Kite, J.; Vassallo, A.J.; Chau, J.Y.; Partridge, S.R.; Freeman, B.; Gill, T. Food trends and popular nutrition advice online–implications for public health. Online J. Public Health Inform. 2018, 10, e213. [Google Scholar] [CrossRef]
  25. Lorig, K.R.; Holman, H.R. Self-Management education: History, definition, outcomes, and mechanisms. Ann. Behav. Med. 2003, 26, 1–7. [Google Scholar] [CrossRef]
  26. Chrvala, C.A.; Sherr, D.; Lipman, R.D. Diabetes self-management education for adults with type 2 diabetes mellitus: A systematic review of the effect on glycemic control. Patient Educ. Couns. 2016, 99, 926–943. [Google Scholar] [CrossRef] [Green Version]
  27. Bailey, R.R. Promoting physical activity and nutrition in people with stroke. Am. J. Occup. Ther. 2017, 71, 7105360010p1–7105360010p5. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Norris, S.L.; Engelgau, M.M.; Narayan, K.V. Effectiveness of self-management training in type 2 diabetes: A systematic review of randomized controlled trials. Diabetes Care 2001, 24, 561–587. [Google Scholar] [CrossRef] [Green Version]
  29. Marks, R.; Allegrante, J.P. A review and synthesis of research evidence for self-efficacy-enhancing interventions for reducing chronic disability: Implications for health education practice (part II). Health Promot. Pract. 2005, 6, 148–156. [Google Scholar] [CrossRef]
  30. Saelens, B.E.; Gehrman, C.A.; Sallis, J.F.; Calfas, K.J.; Sarkin, J.A.; Caparosa, S. Use of self-management strategies in a 2-year cognitive-behavioral intervention to promote physical activity. Behav. Ther. 2000, 31, 365–379. [Google Scholar] [CrossRef]
  31. Chang, M.W.; Nitzke, S.; Guilford, E.; Adair, C.H.; Hazard, D. L Motivators and barriers to healthful eating and physical activity among low-income overweight and obese mothers. J. Am. Diet. Assoc. 2008, 108, 1023–1028. [Google Scholar] [CrossRef] [PubMed]
  32. Forster, J.L.; Jeffrey, R.W. Gender differences related to weight history, eating patterns, efficacy expectations, self-esteem, and weight loss among participants in a weight reduction program. Addict. Behav. 1986, 11, 141–147. [Google Scholar] [CrossRef] [PubMed]
  33. Htet, T.; Cassar, S.; Boyle, J.A.; Kuczynska-Burggraf, M.; Gibson-Helm, M.; Chiu, W.L.; Stepto, N.K.; Moran, L.J. Informing Translation: The Accuracy of Information on Websites for Lifestyle Management of Polycystic Ovary Syndrome. Semin. Reprod. Med. 2018, 36, 80–85. [Google Scholar] [CrossRef] [PubMed]
  34. Pirotta, S.; Lim, S.S.; Grassi, A.; Couch, L.M.; Jeanes, Y.M.; Joham, A.J.; Teede, H.; Moran, L.J. Relationships between self-management strategies and physical activity and diet quality in women with polycystic ovary syndrome. Patient Educ. Couns. 2022, 105, 190–197. [Google Scholar] [CrossRef] [PubMed]
  35. DeSalvo, K.B.; Olson, R.; Casavale, K.O. Dietary guidelines for Americans. JAMA 2016, 315, 457–458. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Piercy, K.L.; Troiano, R.P.; Ballard, R.M.; Carlson, S.A.; Fulton, J.E.; Galuska, D.A.; George, S.M.; Olson, R.D. The physical activity guidelines for Americans. JAMA 2018, 320, 2020–2028. [Google Scholar] [CrossRef]
  37. Sacks, F.M.; Obarzanek, E.; Windhauser, M.M.; Svetkey, L.P.; Vollmer, W.M.; McCullough, M.; Karanja, N.; Lin, P.-H.; Steele, P.; Proschan, M.A.; et al. Rationale and design of the Dietary Approaches to Stop Hypertension trial (DASH): A multicenter controlled-feeding study of dietary patterns to lower blood pressure. Ann. Epidemiol. 1995, 5, 108–118. [Google Scholar] [CrossRef]
  38. Bantle, J.P.; Wylie-Rosett, J.; Albright, A.L.; Apovian, C.M.; Clark, N.G.; Franz, M.J.; Hoogwerf, B.J.; Lichtenstein, A.H.; Mayer-Davis, E.; Mooradian, A.D.; et al. Nutrition recommendations and interventions for diabetes: A position statement of the American Diabetes Association. Diabetes Care 2008, 31, S61–S78. [Google Scholar]
  39. Hsieh, H.-F.; Shannon, S.E. Three approaches to qualitative content analysis. Qual. Health Res. 2005, 15, 1277–1288. [Google Scholar] [CrossRef]
  40. Kay, M.C.; Carroll, D.D.; Carlson, S.A.; Fulton, J.E. Awareness and knowledge of the 2008 Physical Activity Guidelines for Americans. J. Phys. Act. Health 2014, 11, 693–698. [Google Scholar] [CrossRef]
  41. Wright, J.D.; Wang, C.-Y. Awareness of federal dietary guidance in persons aged 16 years and older: Results from the National Health and Nutrition Examination Survey 2005–2006. J. Am. Diet. Assoc. 2011, 111, 295–300. [Google Scholar] [CrossRef]
  42. Adamski, M.; Truby, H.M.; Klassen, K.; Cowan, S.; Gibson, S. Using the Internet: Nutrition Information-Seeking Behaviours of Lay People Enrolled in a Massive Online Nutrition Course. Nutrients 2020, 12, 750. [Google Scholar] [CrossRef] [Green Version]
  43. Jeanes, Y.M.; Barr, S.; Smith, K.; Hart, K.H. Dietary management of women with polycystic ovary syndrome in the United Kingdom: The role of dietitians. J. Hum. Nutr. Diet. 2009, 22, 551–558. [Google Scholar] [CrossRef] [Green Version]
  44. Lin, A.W.; Dollahite, J.S.; Sobal, J.; Lujan, M.E. Health-Related knowledge, beliefs and self-efficacy in women with polycystic ovary syndrome. Hum. Reprod. 2018, 33, 91–100. [Google Scholar] [CrossRef]
  45. Institute, A.S. Britons Say No to Nanny! Modern Attitudes to Paternalism and State Provision; Adam Smith Institute: London, UK, 2012. [Google Scholar]
  46. Tomlinson, J.; Pinkney, J.; Adams, L.; Stenhouse, E.; Bendall, A.; Corrigan, O.; Letherby, G. The diagnosis and lived experience of polycystic ovary syndrome: A qualitative study. J. Adv. Nurs. 2017, 73, 2318–2326. [Google Scholar] [CrossRef]
  47. Cussons, A.J.; Stuckey, B.G.; Walsh, J.P.; Burke, V.; Norman, R.J. Polycystic ovarian syndrome: Marked differences between endocrinologists and gynaecologists in diagnosis and management. Clin. Endocrinol. 2005, 62, 289–295. [Google Scholar] [CrossRef]
  48. Pirotta, S.; Joham, A.J.; Moran, L.J.; Skouteris, H.; Lim, S.S. Implementation of evidence-based PCOS lifestyle management guidelines: Perceived barriers and facilitators by consumers using the Theoretical Domains Framework and COM-B Model. Patient Educ. Couns. 2021, 104, 2080–2088. [Google Scholar] [CrossRef]
  49. Cowan, S.; Sood, S.; Truby, H.; Dordevic, A.; Adamski, M.; Gibson, S. Inflaming Public Interest: A qualitative study of adult learners’ perceptions on nutrition and inflammation. Nutrients 2020, 12, 345. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Wansink, B. Position of the American Dietetic Association: Food and nutrition misinformation. J. Am. Diet. Assoc. 2005, 106, 601–607. [Google Scholar]
  51. Wang, Y.; McKee, M.; Torbica, A.; Stuckler, D. Systematic literature review on the spread of health-related misinformation on social media. Soc. Sci. Med. 2019, 240, 112552. [Google Scholar] [CrossRef] [PubMed]
  52. Chiu, W.L.; Kuczynska-Burggraf, M.; Gibson-Helm, M.; Teede, H.J.; Vincent, A.; Boyle, J.A. What can you find about polycystic ovary syndrome (PCOS) online? Assessing online information on PCOS: Quality, content, and user-friendliness. Semin. Reprod. Med. 2018, 36, 50–58. [Google Scholar] [CrossRef] [PubMed]
  53. Moran, L.J.; Brown, W.J.; McNaughton, S.A.; Joham, A.E.; Teede, H.J. Weight management practices associated with PCOS and their relationships with diet and physical activity. Hum. Reprod. 2017, 32, 669–678. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Moran, L.J.; Ko, H.; Misso, M.; Marsh, K.; Noakes, M.; Talbot, M.; Frearson, M.; Thondan, M.; Stepto, N.; Teede, H.J. Dietary composition in the treatment of polycystic ovary syndrome: A systematic review to inform evidence-based guidelines. J. Acad. Nutr. Diet. 2013, 113, 520–545. [Google Scholar] [CrossRef] [PubMed]
  55. Ball, K.; Crawford, D.; Warren, N. How feasible are healthy eating and physical activity for young women? Public Health Nutr. 2004, 7, 433–441. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Gormally, J.; Rardin, D. Weight loss and maintenance and changes in diet and exercise for behavioral counseling and nutrition education. J. Couns. Psychol. 1981, 28, 295. [Google Scholar] [CrossRef]
  57. Trost, S.G.; Hutley, J. Use of physical activity self-management strategies by high school students. Pediatr. Exerc. Sci. 2015, 27, 168–174. [Google Scholar] [CrossRef] [Green Version]
  58. Young, D.R.; Cohen, D.; Koebnick, C.; Mohan, Y.; Saksvig, B.I.; Sidell, M.; Wu, T. Longitudinal associations of physical activity among females from adolescence to young adulthood. J. Adolesc. Health 2018, 63, 466–473. [Google Scholar] [CrossRef]
  59. Spahn, J.M.; Reeves, R.S.; Keim, K.S.; Laquatra, I.; Kellogg, M.; Jortberg, B.; Clark, N.A. State of the evidence regarding behavior change theories and strategies in nutrition counseling to facilitate health and food behavior change. J. Am. Diet. Assoc. 2010, 110, 879–891. [Google Scholar] [CrossRef]
  60. Creer, T.L.; Wigal, J.K. Self-efficacy. Chest 1993, 103, 1316–1318. [Google Scholar] [CrossRef]
  61. Curry, K.; Jaffe, A. Nutrition Counseling & Communication Skills; WB Saunders: Philadelphia, PA, USA, 1998. [Google Scholar]
  62. Thomson, P. Exercise and health: A review of the usefulness of behavioural change theories in helping patients to become habitually active. Int. J. Health Promot. Educ. 2000, 38, 10–18. [Google Scholar] [CrossRef]
  63. Bandura, A. Social cognitive theory: An agentic perspective. Annu. Rev. Psychol. 2001, 52, 1–26. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Kanfer, F.H.; Gaelick-Buys, L. Self-management methods. In Helping People Change: A Textbook of Methods; Pergamon Press: Oxford, UK, 1991. [Google Scholar]
  65. Blackshaw, L.C.; Chhour, I.; Stepto, N.K.; Lim, S.S. Barriers and facilitators to the implementation of evidence-based lifestyle management in polycystic ovary syndrome: A narrative review. Med. Sci. 2019, 7, 76. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Berciano, S.; Figueiredo, J.; Brisbois, T.D.; Alford, S.; Koecher, K.; Eckhouse, S.; Ciati, R.; Kussmann, M.; Ordovas, J.M.; Stebbins, K.; et al. Precision nutrition: Maintaining scientific integrity while realizing market potential. Front. Nutr. 2022, 9, 979665. [Google Scholar] [CrossRef] [PubMed]
  67. Livingstone, K.M.; Ramos-Lopez, O.; Perusse, L.; Kato, H.; Ordovas, J.M.; Martínez, J.A. Precision nutrition: A review of current approaches and future endeavors. Trends Food Sci. Technol. 2022, 128, 253–264. [Google Scholar] [CrossRef]
  68. Kirk, D.; Catal, C.; Tekinerdogan, B. Precision nutrition: A systematic literature review. Comput. Biol. Med. 2021, 133, 104365. [Google Scholar] [CrossRef] [PubMed]
  69. Win, K.T.; Hassan, N.M.; Bonney, A.; Iverson, D. Benefits of online health education: Perception from consumers and health professionals. J. Med. Syst. 2015, 39, 27. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Diet and physical activity plans recommended by qualified health professionals (A,B). Diet and physical activity plans recommended by alternative information sources (C,D). Percentages beneath pie charts are expressed as a proportion of the total study sample (n = 1167). All other percentages (within pie charts) are expressed as a proportion of their corresponding category (e.g., of the 14% of women who sourced physical activity recommendations from a health professional, 92% of these women received this information from their doctors). Percentages do not add up to 100% where survey respondents could provide ≥1 answer or where there were missing values.
Figure 1. Diet and physical activity plans recommended by qualified health professionals (A,B). Diet and physical activity plans recommended by alternative information sources (C,D). Percentages beneath pie charts are expressed as a proportion of the total study sample (n = 1167). All other percentages (within pie charts) are expressed as a proportion of their corresponding category (e.g., of the 14% of women who sourced physical activity recommendations from a health professional, 92% of these women received this information from their doctors). Percentages do not add up to 100% where survey respondents could provide ≥1 answer or where there were missing values.
Nutrients 15 00589 g001
Table 1. Demographic characteristics of women with polycystic ovary syndrome.
Table 1. Demographic characteristics of women with polycystic ovary syndrome.
VariableValue a
Weight (lb.)206.0 ± 56.4
BMI (kg/m2)34.3 ± 8.9
Weight category
Underweight0.02 (13)
Normal14.7 (169)
Overweight18.2 (209)
Obesity65.0 (747)
Class I33.6 (251)
Class II28.9 (216)
Class III37.5 (280)
Experienced weight change > 5 lb. in last 3 months71.0 (892)
Weight loss30.5 (356)
Weight gain42.7 (498)
Race
White78.4 (905)
Black6.7 (77)
Asian3.5 (40)
Other11.4 (101)
Country of birth
United States70.0 (817)
Australia4.7 (55)
United Kingdom4.3 (50)
Canada3.3 (38)
Other17.7 (207)
a Data were reported using mean ± SD or % (N). Percentages are expressed as a proportion of the total study sample (n = 1167). Percentages do not add up to 100% where survey respondents could provide ≥1 answer or where there were missing values. Abbreviations: BMI, body mass index.
Table 2. Medical history of women with polycystic ovary syndrome.
Table 2. Medical history of women with polycystic ovary syndrome.
VariableValue a
Has a PCOS diagnosis from a health practitioner98.5 (1150)
By a general practitioner54.5 (636)
By a gynecologist20.7 (241)
By an endocrinologist18.6 (217)
By other5.1 (60)
Prescribed medication to regulate menstrual cycle or promote ovulation62.0 (724)
Metformin37.6 (439)
Oral Contraceptives30.7 (358)
Clomid or Letrozole7.0 (82)
Injectable insulin sensitizers0.4 (5)
Other11.8 (138)
Currently have excess body hair80.7 (942)
Currently has acne56.2 (656)
Current periods
Regular (1/month)33.8 (394)
Irregular (>1/month)38.0 (443)
Irregular (<1/month)9.9 (115)
Absent (none within last 6 months)18.2 (212)
Presence of comorbidity
Infertility38.2 (446)
Hypercholesterolemia15.0 (175)
Hypertension15.0 (175)
Hypothyroidism13.3 (155)
Gastro-esophageal reflux disease12.7 (148)
Irritable bowel syndrome with GERD10.3 (120)
Hypertriglyceridemia10.1 (118)
Eating Disorder8.5 (99)
Steatosis7.5 (88)
Irritable bowel syndrome without GERD5.5 (64)
Type 2 Diabetes5.0 (58)
Other19.1 (223)
a Data were reported using % (N). Percentages are expressed as a proportion of the total study sample (n = 1167). Percentages do not add up to 100% where survey respondents could provide ≥1 answer or where there were missing values. Abbreviations: GERD, Gastro-esophageal reflux disease.
Table 3. Knowledge of formal dietary and physical activity guidelines and special diets and physical activity plans followed by women with polycystic ovary syndrome.
Table 3. Knowledge of formal dietary and physical activity guidelines and special diets and physical activity plans followed by women with polycystic ovary syndrome.
VariableValue a
Aware of national or international government guidelines for a healthy lifestyle in PCOS6.4 (75)
Currently follows formal dietary guidelines to manage PCOS33.3 (389)
American Diabetes Association23.9 (93)
MyPlate13.4 (52)
Dietary Guidelines for Americans10.5 (41)
DASH10.0 (39)
American Heart Association7.7 (30)
American Cancer Association Society0.8 (3)
Other b58.4 (227)
Low energy/low calories (includes Weight Watchers and other 18.9 (43)
popular diet industry programs)
Combination of diets (e.g., a plant-based ketogenic diet)14.5 (33)
Paleo9.7 (22)
Low-glycemic8.8 (20)
Low-carbohydrate/high-protein8.4 (19)
PCOS specific plans (includes 6.6 (15)
Specialized (includes IBS friendly, autoimmune, or GAPS)5.3 (12)
Ketogenic4.4 (10)
Own research (though specific diet not defined) 4.0 (9)
Whole food diet2.6 (6)
Low carb only2.2 (5)
Mediterranean0.9 (2)
Vegetarian0.9 (2)
Bariatric surgery0.9 (2)
Dietary principles outlined by NHS and/or WHO0.9 (2)
Sugar free0.4 (1)
Did not provide a written response10.6 (24)
Currently follows a special diet to manage PCOS57.3 (667)
Low-carbohydrate/high-protein 63.4 (423)
Low-glycemic36.6 (244)
Gluten-free 31.8 (212)
Dairy-free30.4 (203)
Low-energy/calorie 19.8 (132)
Soy-free 17.5 (117)
Paleolithic/Paleo 13.5 (90)
Low-fat12.7 (85)
Vegetarian/vegan12.0 (80)
High omega-39.3 (62)
Ketogenic4.6 (31)
Low-FODMAP2.7 (18)
Aware of 2008 Physical Activity Guidelines for Americans13.4 (156)
Currently follows formal PA guidelines to manage PCOS16.2 (189)
Engages in regular physical activity c52.4 (611)
Combination of strength and cardio training (including HIIT)58.8 (359)
Combination of cardio (including walking and swimming, walking 16.4 (100)
and cycling, running and cycling, etc.)
Walking only 13.9 (85)
Yoga/Pilates 3.3 (20)
Strength training only2.3 (14)
Running only 1.1 (7)
Cycling only1.1 (7)
Aqua aerobics/swimming only 0.5 (3)
Horse riding 0.3 (2)
Manual work (including gardening and cleaning) 0.3 (2)
Organized sport (including basketball and football) 0.3 (2)
Did not provide a written response1.6 (10)
a Data were reported using % (N). Bolded percentages are expressed as a proportion of the total study sample (n = 1167). All other percentages are expressed as a proportion of their corresponding category (e.g., of the 33.3% of women who report following formal guidelines, 10.5% used the Dietary Guidelines for Americans). Percentages do not add up to 100% where survey respondents could provide ≥1 answer or where there were missing values. b Open-ended answers were coded using content analysis and are presented numerically as a proportion of the ‘other’ category (e.g., 18.9% of women who selected ‘other’ when asked whether they follow any formal nutrition guidelines were following a low energy/calorie diet). c Open-ended answers were coded using content analysis and are presented numerically as a proportion of respondents who reported that they ‘engaged in regular physical activity’. Abbreviations: DASH, Dietary Approaches to Stop Hypertension; GAPS, Gut and Psychology Syndrome, NHS, National Health Service; WHO, World Health Organization
Table 4. Self-management strategies used among women with PCOS.
Table 4. Self-management strategies used among women with PCOS.
DietOverall Dietary Management Score2.99 ± 1.22
Cognitive strategiesMean ± SDBehavioral strategies Mean ± SD
I make plans to change my diet/drinking habits.3.39 ± 1.10I read labels to help me choose healthy foods3.50 ± 1.23
I look for information about nutrition and healthy eating from books, magazines, internet etc.3.30 ± 1.31 I eat healthy food3.24 ± 0.91
If I don’t eat healthy foods, I think about ways to do better next time.3.21 ± 1.19I watch what I eat3.19 ± 1.13
I can stop myself from over eating2.97 ± 1.17I watch my weight3.23 ± 1.25
I make sure I have time to prepare healthy meals2.84 ± 1.17I have food available for quick healthy meals2.87 ± 1.15
I decide what to eat at the last minute2.79 ± 1.01I replace snacks with healthy alternatives2.98 ± 1.00
I say positive things to myself about eating healthy food2.79 ± 1.28I weigh myself regularly2.94 ± 1.37
I seek information about my weight from my GP2.09 ± 1.19I keep track of what I eat and how much I should eat2.62 ± 1.23
Physical activityOverall physical activity management score2.96 ± 1.27
Cognitive strategiesMean ± SDBehavioral strategies Mean ± SD
I know when I should do more activity3.64 ± 1.14I do things to make walking or other activities enjoyable2.90 ± 1.19
I think about the benefits of being active3.64 ± 1.10I plan ahead of time to be active2.78 ± 1.25
I try to think more about the benefits of physical activity and less the hassles of being active3.28 ± 1.11I can stick to my plans and be active each week2.68 ± 1.09
When I set goals I choose activities that I enjoy3.17 ± 1.12I keep track of how much physical activity I do each week3.39 ± 1.24
I read articles about the benefits of being active from magazines, books or the internet.3.06 ± 1.20When I get off track with my physical activity I find ways to get back on track2.54 ± 1.23
I ask my friends and family to walk with me to help me stay active2.40 ± 1.30
I make back up plans to make sure I get enough physical activity2.10 ± 1.20
Abbreviations: GP, general practitioner; PCOS, polycystic ovary syndrome; SD, standard deviation.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Cowan, S.; Grassi, A.; Monahan Couch, L.; Jeanes, Y.; Lim, S.; Pirotta, S.; Harris, J.; McGirr, C.; Moran, L. Evidence-Based Lifestyle Guidelines and Self-Management Strategies Utilized by Women with Polycystic Ovary Syndrome. Nutrients 2023, 15, 589. https://doi.org/10.3390/nu15030589

AMA Style

Cowan S, Grassi A, Monahan Couch L, Jeanes Y, Lim S, Pirotta S, Harris J, McGirr C, Moran L. Evidence-Based Lifestyle Guidelines and Self-Management Strategies Utilized by Women with Polycystic Ovary Syndrome. Nutrients. 2023; 15(3):589. https://doi.org/10.3390/nu15030589

Chicago/Turabian Style

Cowan, Stephanie, Angela Grassi, Lynn Monahan Couch, Yvonne Jeanes, Siew Lim, Stephanie Pirotta, Jeff Harris, Caroline McGirr, and Lisa Moran. 2023. "Evidence-Based Lifestyle Guidelines and Self-Management Strategies Utilized by Women with Polycystic Ovary Syndrome" Nutrients 15, no. 3: 589. https://doi.org/10.3390/nu15030589

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop