1
|
Torkel S, Wang R, Norman RJ, Zhao L, Liu K, Boden D, Xu W, Moran L, Cowan S. Barriers and enablers to a healthy lifestyle in people with infertility: a mixed-methods systematic review. Hum Reprod Update 2024:dmae011. [PMID: 38743500 DOI: 10.1093/humupd/dmae011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 02/20/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND While there is a recognized role of optimizing lifestyle (diet and physical activity) behaviours in the management of infertility, the best practice remains unknown and factors influencing the lifestyle of people with infertility are not well understood. OBJECTIVE AND RATIONALE This systematic review evaluated barriers and enablers to a healthy lifestyle in people with infertility, from the perspectives of people with infertility and health professionals, in order to inform optimal behavioural change strategies. SEARCH METHODS Ovid MEDLINE(R), PsycINFO, EMBASE, EBM Reviews, and CINAHL were searched from inception to 28 August 2023. Eligible studies were qualitative and quantitative primary studies that explored barriers and/or enablers to lifestyle for infertility management. Quality assessment was performed using the Centre for Evidence-Based Management Critical Appraisal of a Survey Tool and the Critical Appraisal Skills Programme Qualitative Checklist. Data were analysed by thematic analysis with themes mapped to the Capability, Opportunity, Motivation and Behaviour (COM-B) model and Theoretical Domains Framework (TDF). OUTCOMES After screening 12 326 abstracts and 99 full-texts, 27 studies were included (12 quantitative, 6 qualitative and 9 mixed-methods) with 22 studies of women with infertility (n = 2524), 11 studies of men with infertility (n = 1407), and 6 studies of health professionals (n = 372). We identified barriers and enablers relating to capability (e.g. strategies for behaviour change), opportunity (e.g. limited time, resources, and money), and motivation (e.g. interplay between lifestyle and emotional state). Based on the identified themes, suggested intervention components to integrate into lifestyle management of infertility include facilitating development of self-management skills to support lifestyle change (e.g. self-monitoring, action planning, and goal setting) and incorporating mental health strategies (e.g. providing information about the benefits of healthy lifestyle behaviours for mental health and encouraging patients to reframe healthy lifestyle behaviours as self-care strategies). WIDER IMPLICATIONS The findings have identified important factors that influence lifestyle management in people with infertility and have suggested relevant intervention components to consider when designing interventions. Given the paucity of qualitative studies identified, more research is needed to further understand the complex and interacting factors that shape lifestyle during the fertility journey.
Collapse
Affiliation(s)
- Sophia Torkel
- Monash Centre for Health Research and Implementation, Monash University, Clayton, VIC, Australia
| | - Rui Wang
- Department of Obstetrics and Gynaecology, Monash University, Clayton, VIC, Australia
| | - Robert J Norman
- Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
| | - Lijun Zhao
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
| | - Kai Liu
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
| | - Dana Boden
- Monash Centre for Health Research and Implementation, Monash University, Clayton, VIC, Australia
| | - Wentong Xu
- Monash Centre for Health Research and Implementation, Monash University, Clayton, VIC, Australia
| | - Lisa Moran
- Monash Centre for Health Research and Implementation, Monash University, Clayton, VIC, Australia
| | - Stephanie Cowan
- Monash Centre for Health Research and Implementation, Monash University, Clayton, VIC, Australia
| |
Collapse
|
2
|
Tully CA, Alesi S, McPherson NO, Sharkey DJ, Teong XT, Tay CT, Silva TR, Puglisi C, Barsby JP, Moran LJ, Grieger JA, Mousa A. Assessing the influence of preconception diet on male fertility: a systematic scoping review. Hum Reprod Update 2024; 30:243-261. [PMID: 38237150 PMCID: PMC11063564 DOI: 10.1093/humupd/dmad035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 11/21/2023] [Indexed: 05/03/2024] Open
Abstract
BACKGROUND The last decade has seen increased research on the relationship between diet and male fertility, but there are no clearly defined nutritional recommendations for men in the preconception period to support clinical fertility outcomes. OBJECTIVE AND RATIONALE The purpose of this scoping review is to examine the extent and range of research undertaken to evaluate the effect(s) of diet in the preconception period on male clinical fertility and reproductive outcomes. SEARCH METHODS Four electronic databases (MEDLINE and EMBASE via Ovid, CAB Direct, and CINAHL via EBSCO) were searched from inception to July 2023 for randomized controlled trials (RCTs) and observational studies (prospective/retrospective, case-control, and cross-sectional). Intervention studies in male participants or couples aiming to achieve dietary or nutritional change, or non-intervention studies examining dietary or nutritional components (whole diets, dietary patterns, food groups or individual foods) in the preconception period were included. Controls were defined as any comparison group for RCTs, and any/no comparison for observational studies. Primary outcomes of interest included the effect(s) of male preconception diet on clinical outcomes such as conception (natural or via ART), pregnancy rates and live birth rates. Secondary outcomes included time to conception and sperm parameters. OUTCOMES A total of 37 studies were eligible, including one RCT and 36 observational studies (prospective, cross-sectional, and case-control studies; four studies in non-ART populations) published between 2008 and 2023. Eight reported clinical outcomes, 26 reported on secondary outcomes, and three reported on both. The RCT did not assess clinical outcomes but found that tomato juice may benefit sperm motility. In observational studies, some evidence suggested that increasing fish or reducing sugar-sweetened beverages, processed meat or total fat may improve fecundability. Evidence for other clinical outcomes, such as pregnancy rates or live birth rates, showed no relationship with cereals, soy and dairy, and inconsistent relationships with consuming red meat or a 'healthy diet' pattern. For improved sperm parameters, limited evidence supported increasing fish, fats/fatty acids, carbohydrates and dairy, and reducing processed meat, while the evidence for fruits, vegetables, cereals, legumes, eggs, red meat and protein was inconsistent. Healthy diet patterns in general were shown to improve sperm health. WIDER IMPLICATIONS Specific dietary recommendations for improving male fertility are precluded by the lack of reporting on clinical pregnancy outcomes, heterogeneity of the available literature and the paucity of RCTs to determine causation or to rule out reverse causation. There may be some benefit from increasing fish, adopting a healthy dietary pattern, and reducing consumption of sugar-sweetened beverages and processed meat, but it is unclear whether these benefits extend beyond sperm parameters to improve clinical fertility. More studies exploring whole diets rather than singular foods or nutritional components in the context of male fertility are encouraged, particularly by means of RCTs where feasible. Further assessment of core fertility outcomes is warranted and requires careful planning in high-quality prospective studies and RCTs. These studies can lay the groundwork for targeted dietary guidelines and enhance the prospects of successful fertility outcomes for men in the preconception period. Systematic search of preconception diet suggests that increasing fish and reducing sugary drinks, processed meats and total fat may improve male fertility, while consuming healthy diets, fish, fats/fatty acids, carbohydrates and dairy and reducing processed meat can improve sperm health.
Collapse
Affiliation(s)
- Cathryn A Tully
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
- Repromed, Dulwich, Adelaide, SA, Australia
| | - Simon Alesi
- Monash Centre for Health Research and Implementation (MCHRI), Monash University, Clayton, VIC, Australia
| | - Nicole O McPherson
- Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
- Freemasons Center for Male Health and Wellbeing, The University of Adelaide, Adelaide, SA, Australia
- School of Biomedicine, Discipline of Reproduction and Development, The University of Adelaide, Adelaide, SA, Australia
| | - David J Sharkey
- Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
- School of Biomedicine, Discipline of Reproduction and Development, The University of Adelaide, Adelaide, SA, Australia
| | - Xiao Tong Teong
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
- Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Chau Thien Tay
- Monash Centre for Health Research and Implementation (MCHRI), Monash University, Clayton, VIC, Australia
| | - Thais Rasia Silva
- Postgraduate Program in Endocrinology and Metabolism, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Carolyn Puglisi
- School of Agriculture, Food and Wine, Faculty of Sciences, University of Adelaide, Waite Campus, Urrbrae, SA, Australia
| | - Jacqueline P Barsby
- Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
- School of Agriculture, Food and Wine, Faculty of Sciences, University of Adelaide, Waite Campus, Urrbrae, SA, Australia
| | - Lisa J Moran
- Monash Centre for Health Research and Implementation (MCHRI), Monash University, Clayton, VIC, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
| | - Jessica A Grieger
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
| | - Aya Mousa
- Monash Centre for Health Research and Implementation (MCHRI), Monash University, Clayton, VIC, Australia
| |
Collapse
|
3
|
Maitin-Shepard M, Werner EF, Feig LA, Chavarro JE, Mumford SL, Wylie B, Rando OJ, Gaskins AJ, Sakkas D, Arora M, Kudesia R, Lujan ME, Braun J, Mozaffarian D. Food, nutrition, and fertility: from soil to fork. Am J Clin Nutr 2024; 119:578-589. [PMID: 38101699 DOI: 10.1016/j.ajcnut.2023.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 11/22/2023] [Accepted: 12/11/2023] [Indexed: 12/17/2023] Open
Abstract
Food and nutrition-related factors, including foods and nutrients consumed, dietary patterns, use of dietary supplements, adiposity, and exposure to food-related environmental contaminants, have the potential to impact semen quality and male and female fertility; obstetric, fetal, and birth outcomes; and the health of future generations, but gaps in evidence remain. On 9 November 2022, Tufts University's Friedman School of Nutrition Science and Policy and the school's Food and Nutrition Innovation Institute hosted a 1-d meeting to explore the evidence and evidence gaps regarding the relationships between food, nutrition, and fertility. Topics addressed included male fertility, female fertility and gestation, and intergenerational effects. This meeting report summarizes the presentations and deliberations from the meeting. Regarding male fertility, a positive association exists with a healthy dietary pattern, with high-quality evidence for semen quality and lower quality evidence for clinical outcomes. Folic acid and zinc supplementation have been found to not impact male fertility. In females, body weight status and other nutrition-related factors are linked to nearly half of all ovulation disorders, a leading cause of female infertility. Females with obesity have worse fertility treatment, pregnancy-related, and birth outcomes. Environmental contaminants found in food, water, or its packaging, including lead, perfluorinated alkyl substances, phthalates, and phenols, adversely impact female reproductive outcomes. Epigenetic research has found that maternal and paternal dietary-related factors can impact outcomes for future generations. Priority evidence gaps identified by meeting participants relate to the effects of nutrition and dietary patterns on fertility, gaps in communication regarding fertility optimization through changes in nutritional and environmental exposures, and interventions impacting germ cell mechanisms through dietary effects. Participants developed research proposals to address the priority evidence gaps. The workshop findings serve as a foundation for future prioritization of scientific research to address evidence gaps related to food, nutrition, and fertility.
Collapse
Affiliation(s)
| | - Erika F Werner
- Tufts University School of Medicine, Boston, MA, United States
| | - Larry A Feig
- Department of Developmental, Molecular, and Chemical Biology, Tufts University School of Medicine, Boston, MA, United States
| | - Jorge E Chavarro
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Sunni L Mumford
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, United States
| | - Blair Wylie
- Collaborative for Women's Environmental Health, Columbia University, New York, NY, United States
| | - Oliver J Rando
- Department of Biochemistry and Molecular Biotechnology, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Audrey J Gaskins
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, United States
| | | | - Manish Arora
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | | | - Marla E Lujan
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States
| | - Joseph Braun
- Department of Epidemiology, Brown University, Providence, RI, United States
| | - Dariush Mozaffarian
- Tufts University School of Medicine, Boston, MA, United States; Food is Medicine Institute, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
| |
Collapse
|
4
|
Habibi N, Leemaqz S, Louie JCY, Wycherley TP, Grieger JA. Dietary Strategies to Reduce Triglycerides in Women of Reproductive Age: A Simulation Modelling Study. Nutrients 2023; 15:5137. [PMID: 38140396 PMCID: PMC10745529 DOI: 10.3390/nu15245137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/15/2023] [Accepted: 12/16/2023] [Indexed: 12/24/2023] Open
Abstract
Many women of reproductive age have poor diet quality and are at higher risk of chronic diseases such as diabetes. Triglycerides are a critical risk factor for chronic diseases, and although they can be influenced by diet, there are minimal dietary intervention studies identifying key foods/food groups that reduce triglycerides. We performed data simulation modelling to estimate the potential reductions in fasting triglycerides that could be achieved by different dietary strategies in reproductive age women. The model was created using data from the 2011-2013 Australian Health Survey and incorporated various factors such as demographics, nutrient intake, and plasma biomarkers. Multiple linear regression analysis was conducted to estimate triglyceride levels, considering nutrient intake and pre-determined covariates. Dietary scenarios were developed, reducing the consumption of processed/ultra-processed foods, while increasing the intake of minimally processed foods like fruits, vegetables, fish, and nuts. A total of 606 women were included. Reducing processed foods by 50% plus increasing intakes of fruits (75-225 g/day), vegetables (75-225 g/day), or nuts (10-40 g/day) decreased triglycerides by up to 4.3%. Additionally, incorporating 80 g/day of omega 3 fish (>800 mg long-chain omega 3/100 g) decreased triglycerides by 8.2%. The clinical relevance of lowering triglycerides for cardiometabolic disease management should be tested in dietary intervention studies in women.
Collapse
Affiliation(s)
- Nahal Habibi
- Robinson Research Institute, The University of Adelaide, Adelaide 5005, Australia; (N.H.)
- Adelaide Medical School, The University of Adelaide, Adelaide 5005, Australia
| | - Shalem Leemaqz
- Robinson Research Institute, The University of Adelaide, Adelaide 5005, Australia; (N.H.)
- Adelaide Medical School, The University of Adelaide, Adelaide 5005, Australia
| | - Jimmy Chun Yu Louie
- Department of Nursing and Allied Health, School of Health Sciences, Swinburne University of Technology, Melbourne 3122, Australia;
| | - Thomas P. Wycherley
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide 5000, Australia;
| | - Jessica A. Grieger
- Robinson Research Institute, The University of Adelaide, Adelaide 5005, Australia; (N.H.)
- Adelaide Medical School, The University of Adelaide, Adelaide 5005, Australia
| |
Collapse
|