Search

The role of diet in the prevention and management of menopausal symptoms is poorly understood1,2. Digital health platforms have the potential to optimise collection of population-level menopause symptom data particularly in a rapidly changing environment2,3. This study explored the prevalence of menopause symptoms utilising data collection capabilities of a mobile app in a large population of peri- and postmenopausal women and to investigate novel associations between diet quality and symptoms. Baseline data on diet, 20 menopause symptoms (i.e. 3 vasomotor, 3 sexual, 4 psychological and 10 somatic) and other characteristics of 70,412 participants of the ZOE PREDICT 3 app-based study in UK (n = 27,932 peri- and n = 42,480 postmenopausal) were analysed (NCT04735835). Dietary assessment was performed through an app-based food frequency questionnaire (PREDICTFFQ)4 and diet quality assessed using the Healthy Eating Index-2020 (HEI, score 0-100)5. The burden of menopausal symptomatology was high; with 99.8% and 92.7% of peri- and postmenopausal participants reporting 1 or more symptoms respectively and 66.0% and 41.2% of peri- and postmenopausal participants experiencing >12 symptoms, respectively (P<0.001). Mean (± SD) symptom number was greater in the peri- versus postmenopausal group; 13.5 ± 3.8, vs. 10.5 ± 5.5 (P<0.001). HEI (mean ± SD) was slightly lower in the peri- versus postmenopausal group; 73.9 ± 9.7 vs. 76.6 ± 8.9 respectively (P<0.001). Logistic regression analyses showed that a 20 unit increase in HEI was associated with reduction of 6%-37% and 12%-43% in likelihood of symptom presence (dependent on the symptom) in peri- and postmenopausal participants, respectively (P<0.05). ORs remained significant in adjusted models (for age, BMI, use of hormone replacement therapy, total energy intake and home environment (urban, rural) showing reductions of 7%-19% and 6-21%, respectively (P<0.05). Logistic regression analyses revealed that a similar increase in HEI (20 units) was associated with 17% and 19% reductions in the number of symptoms reported by peri- and postmenopausal women after multiple adjustments (P<0.05). This large observational study confirms the high prevalence of menopausal symptoms among peri- and postmenopausal women and provides new evidence between adherence to healthy eating and reduced likelihood of menopausal symptoms, increasing the potential for symptom reduction by specific dietary approaches. Further studies should examine this relationship in longitudinal and dietary intervention settings. [ABSTRACT FROM AUTHOR]

Digital health technologies delivering dietary and lifestyle advice1,2 may offer a contemporary approach to menopause symptom mitigation in a large population base3. This study aimed to evaluate alterations in both diet quality and menopause symptom burden following the implementation of an app-based, personalised dietary intervention in peri- and postmenopausal participants. Baseline and follow-up data (mean follow-up time, 207 ± 72 days) on diet, menopause symptom number (from 20 vasomotor, sexual, psychological and somatic symptoms), symptom severity (0-not at all, 1-a little, 3-quite a bit and 5-extremely) and other characteristics of 4,287 UK based participants of the ZOE PREDICT 3 study (1,000 perimenopausal and 3,287 postmenopausal) were analysed (NCT04735835). Dietary assessment was performed through an app-based food frequency questionnaire (PREDICT-FFQ)2 and diet quality assessed using the Healthy Eating Index-2020 (HEI, score 0-100)4. A novel Menopause Symptom Tracker Score (MSTS 0-100, Copyright © 2024 Zoe Limited) was used to capture symptom number and severity. There was a modest increase in diet quality after the intervention in both peri- and postmenopausal participants; mean HEI from 76.4 ± 8.4 to 79.7 ± 6.8 (P<0.001) and from 78.7 ± 7.8 to 81.1 ± 6.4 (P<0.001), respectively. Baseline MSTS was higher in peri- versus postmenopausal participants 28.9 ± 15.1 vs. 18.1 ± 15.0 (P<0.001). However, both groups showed a significant decrease in mean MSTS after the intervention compared to baseline; mean change (95%CI) in perimenopausal was -8.7 (-9.5, -7.9; 30.1% reduction) and in postmenopausal was -6.6 (-6.9, -6.2; 36.5% reduction) (P for both <0.001). The reduction in the overall MSTS was greater in perimenopausal compared to postmenopausal (P<0.001). Reductions in domain-specific MSTS for peri- and postmenopausal groups respectively, were as follows: vasomotor −0.56 (−0.71, −0.40; 24.9% reduction) and −0.47 (−0.54, −0.41; 31.8% reduction), sexual −0.72 (−0.87, −0.57; 18.6%) and -1.08 (-1.16, −0.99; 28.7%), psychological -2.3 (-2.5, 2.0; 35.0%) and -1.2 (-1.3, -1.1; 44.2%), somatic -5.1 (-5.6, -4.7; 31.5%) and -3.8 (-4.0, -3.6; 37.5%) (P for all <0.001). The reduction in the psychological and somatic domain-specific MSTS was greater in peri-compared to postmenopausal group (P for both <0.001). This study supports the potential of personalised app-based dietary interventions in the mitigation of menopausal symptoms during menopause transition and its potential to affect the health and quality of life of millions. Further studies should investigate their efficacy in a randomised, controlled dietary intervention setting. [ABSTRACT FROM AUTHOR]