Do Older Women of Reproductive Age Have Better Diet Quality than Younger Women of Reproductive Age?

Habibi, Nahal; Livingstone, Katherine M.; Edwards, Suzanne; Grieger, Jessica A.

doi:10.3390/nu13113830

Cited by 6 publications

(4 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Overall diet quality of women was low in both surveys, which is consistent with previous studies reporting that a poor-quality diet is common amongst women of reproductive age [ 23 , 38 , 39 , 40 , 41 ]. Despite the slight increase in proportion of women having a good-quality diet from Survey 3 to Survey 5, there was no evidence that a change in diet, whether that was an improvement or worsening of diet quality over time, was associated with fertility problems.…”

Section: Discussionsupporting

confidence: 90%

See 1 more Smart Citation

Is the Association between Age and Fertility Problems Modified by Diet Quality? Findings from a National Study of Reproductive Age Women in Australia

et al. 2022

View full text Add to dashboard Cite

Background: Increasing age is a strong risk factor for infertility, and there is accumulating evidence of the importance of a healthier diet for fertility. Whether a healthier diet modifies the association between increasing age and infertility has not been investigated. This study aimed to (i) examine if better diet quality could help reduce age-related infertility; and (ii) assess whether changes in diet quality over time are associated with fertility problems. Methods: Data were from Surveys 3 and 5 of the 1973–1978 birth cohort of the Australian Longitudinal Study on Women’s Health. Cross-sectional analysis with multivariable generalized linear models were used to examine the association between age and fertility status, adjusted for various confounders. Multiplicative and additive effect modification by diet quality was assessed, with additive effect modification evaluated with the relative risk for interaction (RERI). Results: In total, 3387 women were included from Survey 3 (age range 24–31 years) and 5614 women from Survey 5 (age range 30–38 years); 588 (17.4%) and 1321 (23.4%) self-reported to have fertility problems in the respective surveys. In Survey 3, compared to younger women with a good-quality diet, older women with a poor-quality diet had a 43% increased risk for fertility problems, with risk increasing after further adjustment for BMI (RR: 1.59; 95% CI: 1.07, 2.37) and PCOS (RR: 1.74; 95% CI: 1.15, 2.62). In Survey 5 in younger women (<33.9 years), there was no association between diet quality and risk for infertility problems. The RERI (across different adjusted models) was between −0.08 (−0.70, 0.55) to −0.39 (−1.40, 0.62) in survey 3 and 0.07 (−0.17, 0.31) to 0.08 (−0.17, 0.32) in Survey 5. Conclusions: There is little evidence to suggest effect modification on the effect of age and fertility problems with diet quality.

show abstract

Section: Discussionsupporting

confidence: 90%

“…There is limited information examining dietary intakes across women of different ages, with inconsistent evidence for differences in diet quality between younger and older women [ 23 , 24 ]. Furthermore, whether diet quality modifies the association between age and infertility has not been assessed.…”

Section: Introductionmentioning

confidence: 99%

Is the Association between Age and Fertility Problems Modified by Diet Quality? Findings from a National Study of Reproductive Age Women in Australia

et al. 2022

View full text Add to dashboard Cite

show abstract

“…This study describes the NOVA food classification and potential reductions in energy, macronutrients, and discretionary nutrients, following simulation modelling of processed and unprocessed foods. We extend our previous work demonstrating the overall low diet quality in reproductive age women from the same Australian Health survey [ 42 ], to now report that a high proportion of energy intake comes from UPF. Our modelling shows that halving intake of processed foods resulted in an estimated reduction in energy (11.9%), saturated fat (14.3%), added sugar (4.3%), sodium (14.1%), and alcohol (40.0%), whereas halving UPF resulted in a greater reduction in energy (22.0%) and discretionary components, namely saturated fat, added sugar, and sodium (21–39%) but not alcohol (10.0%).…”

Section: Discussionsupporting

confidence: 79%

Modelling the Impact of Reducing Ultra-Processed Foods Based on the NOVA Classification in Australian Women of Reproductive Age

2022

Self Cite

View full text Add to dashboard Cite

Women of reproductive age have a high proportion of overweight/obesity and an overall poor nutritional intake and diet quality. Nutritional modelling is a method to forecast potential changes in nutrition composition that may offer feasible and realistic changes to dietary intake. This study uses simulation modelling to estimate feasible population improvements in dietary profile by reducing ultra-processed food (UPF) consumption in Australian women of reproductive age. The simulation used weighted data from the most recent 2011–2012 National Nutrition and Physical Activity Survey. A total of 2749 women aged 19–50 years was included, and 5740 foods were examined. The highest daily energy, saturated fat, and added sugar and sodium came from UPF. Reducing UPF by 50% decreased energy intake by 22%, and saturated fat, added sugar, sodium, and alcohol by 10–39%. Reducing UPF by 50% and increasing unprocessed or minimally processed foods by 25% led to a lower estimated reduction in energy and greater estimated reductions in saturated fat and sodium. Replacement of 50% UPF with 75% of unprocessed or minimally processed foods led to smaller estimated reductions in energy and nutrients. Our results provide insight as to the potential impact of population reductions in UPF, but also increasing intake of unprocessed or minimally processed foods, which may be the most feasible strategy for improved nutritional intake.

show abstract

“…Women of advanced age may have significantly higher rates of depression than younger women (52) . Moreover, older women of reproductive age have better diet quality than their younger peers in many aspects including fat and salt intake (53) , and younger age has been associated with lower prenatal diet quality (54) . Therefore, maternal age might confound the link between pre-pregnancy diet and prenatal depressive symptoms.…”

Section: Covariatesmentioning

confidence: 99%

Maternal pre-pregnancy diet and prenatal depression: the mediating role of pre-pregnancy weight status and prenatal inflammation

Vaghef-Mehrabani,

Bell,

Field

et al. 2024

Br J Nutr

View full text Add to dashboard Cite

Depression is a common prenatal psychological complication. We aimed to investigate if maternal pre-pregnancy diet can impact prenatal depressive symptoms, and the mediating role of pre-pregnancy body mass index (BMI) and inflammation. We used data (N=1141) from the Alberta Pregnancy Outcomes and Nutrition (APrON) cohort study. We calculated Mediterranean diet adherence (MED) and dietary inflammatory index (DII) scores using data from pre-pregnancy food frequency questionnaire (FFQ). In the 3rd-trimester, we assessed depressive symptoms using Edinburgh Postpartum Depression Scale (EPDS), and inflammation through serum C-reactive protein (CRP) levels. BMI was calculated from self-reported pre-pregnancy weight. Race-stratified analyses (white and people of color) were run. We observed no association between MED or DII tertiles and depressive symptoms. However, white participants in the MED tertile-3 had lower risk of depression (EPDS<10) compared to tertile-1 (OR=0.56, 95% CI, 0.33, 0.95). White individuals in MED tertile-3 had lower BMI (MD=-1.08; 95%CI, -1.77, -0.39), and CRP (MD=-0.53; 95%CI, -0.95, -0.11) than tertile-1, and those in DII tertile-2 (MD=0.44;95%CI, 0.03, 0.84) and tertile-3 (MD=0.42; 95%CI, 0.01, 0.83) had higher CRP than tertile-1. Among people of color, neither MED nor DII were associated with BMI or CRP, but BMI was negatively associated with depressive symptoms (β=-0.25, 95%CI, -0.43, -0.06). We found no association between diet and depressive symptoms through BMI or CRP, in either race. Pre-pregnancy diet might affect the risk of prenatal depression in a race-specific way. Further research is required to explore the racial differences in the association between maternal diet and prenatal depressive symptoms/depression risk.

show abstract

Do Older Women of Reproductive Age Have Better Diet Quality than Younger Women of Reproductive Age?

Cited by 6 publications

References 41 publications

Is the Association between Age and Fertility Problems Modified by Diet Quality? Findings from a National Study of Reproductive Age Women in Australia

Is the Association between Age and Fertility Problems Modified by Diet Quality? Findings from a National Study of Reproductive Age Women in Australia

Modelling the Impact of Reducing Ultra-Processed Foods Based on the NOVA Classification in Australian Women of Reproductive Age

Maternal pre-pregnancy diet and prenatal depression: the mediating role of pre-pregnancy weight status and prenatal inflammation

Contact Info

Product

Resources

About