Association of the Dietary Inflammatory Index with Depressive Symptoms among Pre- and Post-Menopausal Women: Findings from the National Health and Nutrition Examination Survey (NHANES) 2005-2010

Examining the connection between weekend catch-up sleep and depression: Insights from 2017 to 2020 NHANES information

BACKGROUND

Depression, a prevalent mental disorder, has shown an increasing trend in recent years, imposing a significant burden on health and society. Adequate sleep has been proven to reduce the incidence of depression. This study seeks to explore how Weekend Catch-up Sleep (WCS) is connected with the prevalence of depression in the American population.

METHODS

The National Health and Nutrition Examination Survey (NHANES) provides representative data for the U.S.

POPULATION

We utilized data from the 2017-2018 and 2019-2020 cycles. Depression was operationally defined as a PHQ-9 score exceeding 10. WCS duration was categorized into five groups: no change in sleep duration (=0 h), decreased sleep duration (<0), short catch-up sleep duration (>0 h, ≤1 h), moderate catch-up sleep duration (>1 h, <2 h), and long catch-up sleep duration (≥2 h).

RESULTS

Among the 8039 individuals, the distribution of WCS duration was as follows: no change (WCS = 0 h) in 2999 individuals (37.3 %), decreased sleep (WCS < 0 h) in 1199 individuals (14.9 %), short catch-up sleep (0 h < WCS ≤ 1 h) in 1602 individuals (19.9 %), moderate catch-up sleep (1 h < WCS < 2 h) in 479 individuals (6.0 %), and long catch-up sleep (WCS ≥ 2 h) in 1760 individuals (21.9 %). Acting by adjustment for all covariates in a multiple regression analysis, we discovered that persons with 1 to 2 h of weekend catch-up sleep had a substantially low prevalence of depression concerning those with WCS = 0 (OR 0.22, 95 % CI 0.08-0.59, P = 0.007).

CONCLUSION

The prevalence of depression in individuals engaging in weekend catch-up sleep for 1 to 2 h is lower than those who do not catch up on weekends. This discovery on the treatment and prevention of depression provides a new perspective. However, further prospective research and clinical trials are needed for a comprehensive investigation.

Association of reproductive lifespan and age at menopause with depression: Data from NHANES 2005-2018

BACKGROUND

The association between reproductive lifespan and depression in older women is unclear. We conducted this analysis to explore whether a shorter reproductive lifespan is associated with higher odds of depression, while also considering the age at menarche and age at menopause.

METHODS

This observational study used data from the National Health and Nutrition Examination Survey (NHANES), which was conducted between 2005 and 2018. Reproductive lifespan was defined as years from age at menarche to age at menopause. Depression was assessed using the Patient Health Questionnaire-9 (PHQ-9). Multivariable logistic regression models were used to explore the relationship between the association of reproductive life span, age at menarche and age at menopause with the incidence of depression.

RESULTS

Totally, 2947 patients aged 60 and above were enrolled in the trial, with 241 individuals (8.18 %) diagnosed with depression. Higher odds of depression were found to be significantly correlated with a shorter reproductive lifespan [Odds Ratio (OR) = 0.95, 95 % Confidence interval (CI) = 0.92-0.98] or an earlier ager at menopause (OR = 0.95, 95 % CI = 0.92-0.99), according to the results of multivariable logistic regression analysis after full adjustment. Subgroup analysis and interaction tests indicated a similar association.

LIMITATIONS

The cross-sectional study could not yield any conclusions regarding causality.

CONCLUSION

In this large cross-sectional study, our result suggested that populations with a shorter reproductive lifespan or an earlier age at menopause were significantly more likely to have depressive symptoms in older U.S. women. Further large-scale prospective studies are warranted for a comprehensive analysis of the role of the reproductive lifespan and age at menopause in depression.

High Dietary Inflammatory Index increases the risk of female infertility: An analysis of NHANES 2013-2018

Diet-related inflammation, which can be evaluated using the dietary inflammatory index (DII), is increasingly related to female infertility. However, studies on the association between DII and infertility are limited. In this study, we aim to explore the association between DII and infertility and its dose-effect relationship among women aged 20 to 45 years through a cross-sectional analysis of the National Health and Nutrition Examination Survey 2013-2018. A total of 2613 women aged 20 to 45 years were included and analyzed. The DII was calculated using the first 24-hour dietary recall interview data and divided into quartiles. Weighted multivariable logistic regression and restricted cubic spline analysis were used to explore the relationship between DII and infertility. The odds ratio (OR) (95% confidence interval [CI]) for the association between DII and infertility was 1.06 (0.96-1.19) after multivariable adjustment. Compared with the first quartile (anti-inflammatory diet), the fourth quartile of DII (pro-inflammatory diet) was more strongly associated with an increased risk of infertility, with an OR of 1.61 (95% CI, 1.05-2.47). Restricted cubic splines showed a J-shaped nonlinear association between DII and infertility (P for nonlinear = .003), with a cutoff point of 2.45. When DII was higher than 2.45, the OR for infertility was 1.95 (95% CI, 1.49-2.54). Similar results were observed among the subgroup analyses. In conclusion, this study found high DII (pro-inflammatory diet) increases the risk of female infertility. DII had a J-shaped nonlinear relationship with female infertility, whose cut point is 2.45. Controlling the intake of pro-inflammatory food may be beneficial for female infertility.

Joint effects between cadmium exposure and dietary antioxidant quality score on osteoporosis and bone mineral density

To explore the relationship between dietary antioxidant quality score (DAQS) and Cd exposure both alone and in combination with osteoporosis and bone mineral density (BMD) among postmenopausal women. In total, 4920 postmenopausal women from the National Health and Nutrition Examination Survey were included in this cross-sectional study. Weighted univariate and multivariate logistic regression analyses to assess the association between DAQS and Cd exposure with femur neck BMD, total femur BMD, osteoporosis among postmenopausal women, respectively, and the coexistence effect of DAQS and Cd exposure. Four hundred and ninety-nine had osteoporosis. DAQS (OR = 0·86, 95 % CI 0·77, 0·97) and high DAQS (OR = 0·60, 95 % CI 0·36, 0·99) were found to be associated with decreased odds of osteoporosis, while Cd exposure (OR = 1·34, 95 % CI 1·04, 1·72) and high Cd exposure (OR = 1·45, 95 % CI 1·02, 2·06) were related to increased odds of osteoporosis. A positive correlation was observed between high DAQS and both total femur BMD and femur neck BMD. Conversely, Cd exposure was found to be negatively correlated with total femur BMD and femur neck BMD. Additionally, taking low-Cd and high-quality DAQS group as reference, the joint effect of Cd exposure and DAQS showed greater increased odds of osteoporosis and decreased total femur BMD and femur neck BMD as Cd level and DAQS combinations worsened. There may be an interaction between Cd exposure and DAQS for femur neck BMD, total femur BMD, and osteoporosis in postmenopausal women.

Differences of nutritional intake habits and Dietary Inflammatory Index score between occupational classifications in the Korean working population

Background

Human nutrient intake is closely related to the conditions of their workplace.

Methods

This study used data from the Korean National Health and Nutritional Examination Survey (KNHANES) conducted between 2016 and 2020. The study population comprised individuals aged 19 to 65 years who were engaged in paid work, excluding soldiers (total = 12,201, male = 5,872, female = 6,329). The primary outcome of interest was the Dietary Inflammatory Index (DII) score, which was calculated using dietary intake data. Generalized linear models were used for statistical analyses.

Results

Pink-collar workers had higher DII scores, indicating a potentially higher inflammatory diet than white-collar workers (mean: 2.18 vs. 1.89, p < 0.001). Green and blue-collar workers displayed lower levels of dietary inflammation (green: 1.64 vs. 1.89, p = 0.019, blue: 1.79 vs. 1.89, p = 0.022). After adjusting for sex, age, income, education, and energy intake, the sole trend that persisted was the comparison between white-collar and pink-collar workers.

Conclusions

DII scores and dietary patterns differed among occupational groups and genders.

The mediating role of dietary inflammatory index on the association between eating breakfast and depression: Based on NHANES 2007-2018

BACKGROUND

Depression is a significant, pervasive, global public health problem, associated with many factors, such as diet, social factors, and lifestyle habits. We aimed to evaluate the association between eating breakfast, dietary inflammatory index (DII) and depression, and to verify the mediating role of DII on the effect of eating breakfast on depression.

METHODS

21,865 participants from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018 were included in this study. Binary logistic regression and mediated effect analysis were conducted to analyze the associations between eating breakfast, DII and depression. Dietary inflammation was divided into pro-inflammatory diet and anti-inflammatory diet according to the DII.

RESULTS

Both pro-inflammatory diet and skipping breakfast were risk factors for depression. After adjusting for covariables, compared with participants reporting breakfast in both recalls, reporting breakfast in one recall had a higher OR 95%CI (1.54(1.20, 1.98)) of depression. These associations in stratified analysis and sensitivity analysis without cardiovascular diseases (CVD) and diabetes were robust. DII mediated the association between eating breakfast and depression, the proportion of participants who reported breakfast in one recall and no recall was 26.15 % and 26.67 %, respectively.

LIMITATIONS

This was a cross-sectional study that couldn't argue for the cause-effect relationship. Moreover, the confounding factor regarding medication use was not accounted for due to limited data.

CONCLUSIONS

Skipping breakfast may increase the risk of depression by raising DII. And our study supported the essential role of regular breakfast and the anti-inflammatory diet in reducing the risk of depression.

Association between sleep duration and depression in menopausal women: a population-based study

Aims

This research investigated menopausal women older than 50 years to find whether there were any independent relationships between the duration of sleep they got and their prevalence of depression.

Methods

National Health and Nutrition Examination Survey (NHANES) datasets from 2011-2020 were utilized in a cross-sectional study. Using multivariate linear regression models, the linear relationship between sleep duration and depression in menopausal women was investigated. Fitted smoothing curves and thresholds impact evaluation were used to investigate the nonlinear relationship. Then, subgroup analyses were performed according to smoking, drinking alcohol, diabetes, hypertension, heart disease, and moderate activities.

Results

This population-based study included a total of 3,897 menopausal women (mean age 65.47 ± 9.06 years) aged≥50 years; 3,159 had a depression score <10, and 738 had a depression score≥10. After controlling for all covariates, the prevalence of depression was 17% higher among participants with short sleep duration [OR=1.17, 95%CI=(0.65, 1.70), P<0.0001] and 86% [OR=1.86, 95%CI=(1.05, 2.66), P<0.0001] compared to participants with normal sleep duration. In subgroup analyses stratified by smoking and diabetes, the sleep duration and depression scores of non-smokers [β=-0.18, 95%CI= (-0.33, -0.02), P=0.0241] and diabetics were independently negatively correlated [β=-0.32, 95%CI= (-0.63, -0.01), P=0.0416]. Using a two-segment linear regression model, we discovered a U-shaped relationship between sleep duration and depression scores with an inflection point of 7.5 hours. Less than 7.5 hours of sleep was associated with an increased risk of developing depression [β=-0.81, 95%CI= (-1.05, -0.57), P<0.001]. However, sleeping more than 7.5 hours per night increased the risk of depression considerably [β=0.80, 95%CI= (0.51, 1.08), P<0.001].

Conclusions

Depression is associated with sleep duration in menopausal women. Insufficient or excessive sleep may increase the risk of depression in menopausal women.

Association between dietary inflammatory index and self-reported female infertility from the National Health and Nutrition Examination Survey 2013-2020

BACKGROUND

To explore the association between the diet inflammatory index (DII) and infertility.

METHODS

Multivariable logistic regression was performed to investigate the relationship between infertility and DII, and restricted cubic spline (RCS) was utilised to test for nonlinear relationships in this cross-sectional study. Data of this study were collected from the 2013 to 2020 National Health and Nutrition Examination Survey (NHANES) database. Considering women's child-bearing age, we enrolled a total of 2066 women aged 20-45 years in this study.

RESULTS

After all covariates were adjusted, a positive association was found between DII score and odds of infertility by multivariable logistic regression (odds ratio [OR] = 1.19, 95% confidence interval [CI] 1.03, 1.38; p = 0.027). Compared with participants with DII scores in the lowest quartile, those with DII scores in the highest quartile had significantly higher odds of infertility (OR = 2.42, 95% CI 1.09, 5.34; p = 0.034). The RCSs model suggested a linear relationship between DII and infertility (p for nonlinear = 0.1827).

CONCLUSIONS

A positive association between a pro-inflammatory diet and self-reported infertility was detected. Our study extends the application of the DII scoring system to infertility prevention.

Manganese and Sleep Outcomes in United States Adults: Results from the 2017-2020 National Health and Nutrition Examination Survey (NHANES)

BACKGROUND

Manganese (Mn) is an essential micronutrient, but inadequate or excess Mn intake can have a detrimental impact on human health. Despite the essentiality, little is known about the relationship between Mn and sleep.

OBJECTIVE

This study aimed to examine the relationship between blood Mn concentrations and sleep outcomes in US adults.

METHODS

This cross-sectional study used data on blood Mn and sleep from the 2017-2020 National Health and Nutrition Examination Survey (NHANES) (n = 8356, age ≥18 y). Multivariable logistic regression was used to examine associations between quintiles of blood Mn concentrations and subjective sleep outcomes (short sleep duration, late sleep midpoint, trouble sleeping, and obstructive sleep apnea [OSA] symptoms), adjusting for age, gender, body mass index, race/ethnicity, income, smoking, inflammation-adjusted serum ferritin concentration (iron status), caffeine, and alcohol intake. Gender-stratified models were used due to interactions with gender.

RESULTS

The mean (SE) blood Mn concentration was 9.7 (0.1) μg/L in US adults. In males, a nonlinear association was noted in the relationship between blood Mn levels and short sleep duration on weekdays and weekends. The third Mn quintile (Q3) group had lower odds of short sleep duration (<7 h) on weekdays (odds ratio [OR]=0.6, 95% confidence interval [CI]: 0.4, 0.9) than the lowest Mn quintile (Q1, reference) after adjusting for covariates in males. The second Mn quintile (Q2) group had lower odds of late sleep midpoint on weekdays than Q1 (OR=0.6, 95% CI: 0.4, 0.8). In females, Q2 group had lower odds of OSA symptoms than Q1 (OR: 0.6, 95% CI: 0.4, 0.9). No relationship was noted between Mn and trouble sleeping.

CONCLUSIONS

Gender differences exist in the association between Mn and sleep in adults. Q1 group had the poorest sleep outcomes, including higher odds of short sleep duration (in males), late sleep midpoint (in males), and OSA symptoms (in females).

Psychological health of postmenopausal women: a bibliometric analysis in the recent decade

The aim of this study is to analyze the publication trends on the psychological health of postmenopausal women by performing a bibliometric and visualization analysis that can be used as a foundation for understanding current and future research plans. Publications were retrieved from Dimensions database from 2012 to June 2022. VOSviewer software was used for data mining and visualization. A total of 1718 papers were selected by keyword search and delimiting criteria. To evaluate the productive nations, authors, journals, articles and frequent joint citations, citation analysis, author keyword co-occurrence analysis, co-authorship analysis and co-citation analysis were performed. Results depict that the USA contributed the most papers (n = 457). Maximum articles (n = 192) were published in 2021. The highest number of articles are published in Menopause: The Journal of the North American Menopause Society and Climacteric: The Journal of the International Menopause Society. Out of the top 10 contributing organizations in the field, six organizations were from the USA. R. Nappi of Italy is the most productive author with 20 articles and 1138 citations. From the point of average citations per article, H. Joffe has the highest score (71.5). The data reported in this analysis contribute to discussions about the development, growth and current state of psychological health of postmenopausal women as well as its impact. These findings offer helpful guidance for researchers in choosing their potential fields of study and integrating different approaches to solve complicated issues, finding potential co-authors and choosing the right institutions for supporting academic studies or collaborative research.

Association of pro-inflammatory diet with increased risk of all-cause dementia and Alzheimer's dementia: a prospective study of 166,377 UK Biobank participants

BACKGROUND

Increasing evidence suggests an association between pro-inflammatory diets and cognitive function. However, only a few studies based on small sample sizes have explored the association between pro-inflammatory diets and dementia using the dietary inflammatory index (DII). Additionally, the relationship between DII and different subtypes of dementia, such as Alzheimer's dementia and vascular dementia, remains largely unexplored. Given the changes in brain structure already observed in patients with dementia, we also investigated the association between DII and magnetic resonance imaging (MRI) measures of brain structure to provide some hints to elucidate the potential mechanisms between pro-inflammatory diet and cognitive decline.

METHODS

A total of 166,377 UK Biobank participants without dementia at baseline were analyzed. DII calculations were based on the information collected by the 24-h recall questionnaire. Brain structural anatomy and tissue-specific volumes were measured using brain MRI. Cox proportional hazards models, competing risk models, and restricted cubic spline were applied to assess the longitudinal associations. The generalized linear model was used to assess the association between DII and MRI measurements.

RESULTS

During a median follow-up time of 9.46 years, a total of 1372 participants developed dementia. The incidence of all-cause dementia increased by 4.6% for each additional unit of DII [hazard ratio (HR): 1.046]. Besides, DII displayed a "J-shaped" non-linear association with Alzheimer's dementia (P_nonlinear = 0.003). When DII was above 1.30, an increase in DII was significantly associated with an increased risk of Alzheimer's dementia (HR: 1.391, 95%CI: 1.085-1.784, P = 0.009). For brain MRI, the total volume of white matter hyperintensities increased with an increase in DII, whereas the volume of gray matter in the hippocampus decreased.

CONCLUSIONS

In this cohort study, higher DII was associated with a higher risk of all-cause dementia and Alzheimer's dementia. However, our findings suggested that the association with DII and vascular and frontotemporal dementia was not significant.

Dietary Quality and Diet-Related Factors Among Female Adults of Reproductive Age With and Without Disabilities Participating in the National Health and Nutrition Examination Surveys, 2013-2018

BACKGROUND

Female adults of reproductive age (18 to 44 years) with disabilities have higher rates of health-risk behaviors and chronic conditions compared with their counterparts without disabilities; however, there is limited examination of diet.

OBJECTIVE

Our aim was to examine associations of self-reported disability status with diet quality and diet-related factors.

DESIGN

Cross-sectional data were from the National Health and Nutrition Examination Surveys, 2013-2018.

PARTICIPANTS/SETTING

Female adults aged 18 through 44 years were included. Disability was defined as serious difficulty hearing, seeing, concentrating, walking, dressing, and/or running errands due to physical, mental, or emotional conditions.

MAIN OUTCOME MEASURES

The Healthy Eating Index-2015 assessed diet quality. Diet-related factors included self-rated diet healthfulness, meal characteristics, food security, and food assistance programs.

STATISTICAL ANALYSIS

Multivariable linear regression estimated differences in Healthy Eating Index-2015 scores for a given day and multivariable Poisson regression estimated adjusted prevalence ratios and 95% CI of diet-related factors by disability status.

RESULTS

Of 3,579 female adults, 557 (16%) reported any disabilities, 207 (6%) of whom reported having 2 or more types of disabilities. Differences in mean Healthy Eating Index-2015 scores for a given day were one-third to one-half a point lower for fruits, total protein foods, and seafood and plant proteins among female adults with 2 or more types of disabilities compared with those without disabilities. Female adults with any disabilities were more likely to rate their diet as poor, have low food security, participate in food-assistance programs, and consume frozen foods or pizza, compared with those without disabilities (adjusted prevalence ratio ranged from 1.35 to 1.93); they were less likely to be the main food planner or preparer or shopper for their households.

CONCLUSIONS

Some indicators of diet quality and diet-related factors differed between female adults with and without disabilities. Additional investigation of dietary intakes and behaviors, as well as access to and availability of healthy foods, among female adults with disabilities is necessary.