Dietary patterns derived using reduced rank regression in postmenopausal women and risk of mortality: A population-based study

IF 3.9 2区 医学 Q2 GERIATRICS & GERONTOLOGY Maturitas Pub Date : 2025-03-07 DOI:10.1016/j.maturitas.2025.108234
Mojgan Amiri , Hamidreza Raeisi-Dehkordi , Marinka Steur , Giorgia Grisotto , Fernando Rivadeneira , M. Kamran Ikram , Maryam Kavousi , Taulant Muka , Trudy Voortman
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Abstract

Objectives

The menopause transition increases the risk of chronic conditions in women. Given the crucial role of diet in health, we identified dietary patterns that explain variations in factors related to major health concerns in postmenopausal women. Also, we explored their association with all-cause and cardiovascular mortality.

Study design

This study was conducted on 1814 postmenopausal women from the population-based Rotterdam Study.

Main outcome measures

Dietary patterns were identified using reduced rank regression. Response variables included bone mineral density, body composition parameters, lipid profile markers, insulin resistance, systolic blood pressure, cognitive function, depression, and sleep quality. The associations with risk of mortality were assessed using Cox proportional hazard models.

Results

The first dietary pattern, characterized by higher intake of vegetables, whole grains, legumes, nuts, coffee, tea, alcoholic beverages, and cheese, explained 2.95 % of the variation in responses, accounted for 12.11 % of the variation in general cognitive function captured by G-factor, 5.62 % in systolic blood pressure, and 4.13 % in bone mineral density, and was correlated with less adiposity, lower blood pressure, lipid markers, and insulin resistance. The second dietary pattern, characterized by higher intakes of processed meat, unprocessed red meat, poultry, eggs, and coffee, and lower intakes of sweets and tea, explained 1.54 % of the variation in responses, accounted for 5.45 % of variation in fat mass percentage, 3.47 % in lean mass index, and 3.29 % in bone mineral density, and was correlated with higher adiposity, insulin resistance, and lipid markers. No associations with mortality risk were identified after adjusting for confounders such as demographics, socioeconomic status, lifestyle, disease history, and medication use.

Conclusions

We identified dietary patterns explaining a range of variation in health factors related to postmenopausal health. While these dietary patterns explained a large variation in some of the individual factors, their combined explained variation across multiple risk factors simultaneously was limited and no significant association with mortality risk was observed. This study provides a foundation for future research aimed at identifying optimal dietary patterns, integrating diverse health aspects, to improve health in postmenopausal populations.
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来源期刊
Maturitas
Maturitas 医学-妇产科学
CiteScore
9.10
自引率
2.00%
发文量
142
审稿时长
40 days
期刊介绍: Maturitas is an international multidisciplinary peer reviewed scientific journal of midlife health and beyond publishing original research, reviews, consensus statements and guidelines, and mini-reviews. The journal provides a forum for all aspects of postreproductive health in both genders ranging from basic science to health and social care. Topic areas include:• Aging• Alternative and Complementary medicines• Arthritis and Bone Health• Cancer• Cardiovascular Health• Cognitive and Physical Functioning• Epidemiology, health and social care• Gynecology/ Reproductive Endocrinology• Nutrition/ Obesity Diabetes/ Metabolic Syndrome• Menopause, Ovarian Aging• Mental Health• Pharmacology• Sexuality• Quality of Life
期刊最新文献
Editorial Board Trends and outcomes of minimally invasive hysterectomy among older women The COVID-19 pandemic's effects on cognition and 24-hour movement behaviours: Findings from the CLSA Dietary patterns derived using reduced rank regression in postmenopausal women and risk of mortality: A population-based study Dementia prevention, intervention, and care: Comments on the 2024 report of the Lancet standing Commission
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