Low Vitamin D Concentration Is Associated with Increased Depression Risk in Adults 20-44 Years Old, an NHANES 2007-2018 Data Analysis with a Focus on Perinatal and Breastfeeding Status.
Victoria Rose Barri Benters HollinsheadJulia L PiaskowskiYimin ChenPublished in: Nutrients (2024)
The objective was to investigate associations of serum vitamin D concentration with depressive symptoms and assess the impact that vitamin D concentration has on the occurrence of depressive symptoms in 20-44-year-old pregnant women, postpartum women, non-pp women (non-pregnant/postpartum women), and men, including a separate subgroup analysis of postpartum breastfeeding and non-breastfeeding women. The study populations were selected from the 2007-2018 NHANES public data. Subjective interview data and objective laboratory data including depressive symptoms, serum vitamin D concentration, nutrient intake, and demographic information were utilized. Two diet patterns were created using principal component analysis, and a Bayesian multinomial model was fit to predict the depression outcomes for each subpopulation. The estimates for the log vitamin D slope parameter were negative for all cohorts; as vitamin D increased, the probability of having no depression increased, while the probability of depression decreased. The pregnant cohort had the steepest vitamin D slope, followed by postpartum women, then non-pp women and men. Higher vitamin D concentration had more impact on decreasing depression risk in pregnant and postpartum women compared to non-pp women and men. Among postpartum women, higher vitamin D concentration had a greater influence on decreasing breastfeeding women's depression risk than non-breastfeeding women.
Keyphrases
- depressive symptoms
- polycystic ovary syndrome
- pregnant women
- pregnancy outcomes
- breast cancer risk
- cervical cancer screening
- sleep quality
- data analysis
- social support
- clinical trial
- randomized controlled trial
- risk assessment
- insulin resistance
- metabolic syndrome
- mental health
- machine learning
- weight loss
- body mass index
- type diabetes
- deep learning
- open label
- phase iii