Association between gardening and multiple sleep complaints: A nationwide study of 62,098 adults.

BACKGROUND: Physical activity was suggested to be related to sleep health, while the gardening-sleep association among the community population remained unrevealed. Therefore, this study aimed to explore whether gardening was associated with sleep complaints. METHODS: A total of 62,098 adults from the 2017 Behavioral Risk Factor Surveillance System (BRFSS) were included in this study and further categorized as non-exercisers, gardeners, and other exercisers, based on their self-reported exercise status. Sleep complaints including short/prolonged sleep duration, probable insomnia, daytime sleepiness, and sleep apnea were surveyed via a questionnaire. Primary outcome was multiple sleep complaints (coexistence of ≥2 sleep complaints) and secondary outcomes referred to individual sleep complaints. The adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) were estimated to assess the associations between gardening or tertiles of gardening duration and the outcomes using multivariable logistic regression models. RESULTS: The sample included 16,707 non-exercisers, 4243 gardeners, and 41,148 other exercisers. Relative to non-exercisers, gardeners (OR 0.58, 95%CI 0.49-0.67) and other exercisers (OR 0.67, 95%CI 0.61-0.72) had a lower likelihood of experiencing multiple sleep complaints. The adjusted OR comparing the highest gardening duration tertile to non-exercise was 0.45 (95%CI 0.33-0.63) for multiple sleep complaints (P for trend <0.001). Similar patterns persisted in several individual sleep complaints, such as short sleep duration, probable insomnia, daytime sleepiness, and sleep apnea. LIMITATIONS: Cross-sectional study design and use of self-reported variables. CONCLUSIONS: This nationwide study observed an inverse association of gardening with multiple sleep complaints and several individual sleep complaints, in a dose-response manner.

Food insecurity and health-related quality of life among a nationally representative sample of older adults: cross-sectional analysis.

BACKGROUND: Food insecurity is a significant health issue among older adults and contributes to poorer quality of life and mental health. However, limited evidence is available among older adults. Thus, the study evaluated the associations between food security and multiple outcomes related to health-related quality of life. We examined whether participants' sex and participation in the federal Supplemental Nutrition Assistance Program (SNAP)/or receiving the Food Stamp program might modify these associations. METHODS: Cross-sectional analysis of the 2007-2012 National Health and Nutrition Examination Surveys (NHANES). A sample of 3,375 adults aged ≥ 60 years with household incomes ≤ 300% of the federal poverty level (FPBL). Food security was assessed using the 18-item US Household Food Security Survey Module and categorized as food security, marginal food security, and food insecurity. Outcomes were the CDC Health-Related Quality of Life measures (HRQOL-4). RESULTS: Approximately 8% experienced marginal food security and 12% experienced food insecurity. Over the past month, food insecurity was significantly associated with ≥ 16 days of poor physical health (OR 1.88, 95% CI 1.23, 2.85, P-trend = 0.005), ≥ 16 days of poor mental health (OR 2.22, 95% CI 1.50, 3.28, P-trend < 0.0001), and ≥ 16 days of feeling anxious (OR 3.33, 95% CI 2.30, 4.81, P-trend < 0.0001) after multivariate adjustment. The association between food insecurity and poor physical health was stronger in females (P-interaction = 0.02). There was no evidence for effect modification in any of these associations among those receiving benefits from the federal SNAP/Food Stamp program. CONCLUSIONS: Food insecurity was positively associated with multiple adverse health outcomes. Public health programs and policies targeted for older adults are needed to mitigate the extent of food insecurity to promote overall health and well-being.

Food sufficiency status and sleep outcomes in older adults: the National Health and Aging Trends Study (NHATS).

BACKGROUND: Studies investigating the relationship between food insecurity and sleep among older populations are limited. This study aimed to cross-sectionally examine the associations between food sufficiency status and sleep outcomes in a nationally representative sample of older adults. METHODS: Our study included 1,665 older adults (≥ 65 years), using data from the 2013 and 2014 National Health and Aging Trends Study (NHATS). Food insufficiency was determined via participants' experience and utilization of food assistance programs (FAP). Sleep outcomes, including nighttime and total sleep hours, sleep latency, and sleep quality, were derived from self-reported data. Multivariable linear regression and logistic regression models were used to estimate the associations between food sufficiency status and sleep outcomes. RESULTS: In 2013-2014, 86.1% of older adults were classified as food sufficient without FAP, 9.85% as food sufficient with FAP, and 4.08% as food insufficient. Adjusting for sociodemographic characteristics, food sufficient older adults with FAP reported more total sleep hours (𝛽 = 0.31, 95% CI: -0.02, 0.64) than those participants who are food sufficient without FAP. Further adjusting for health factors, food sufficient participants with FAP had more nighttime sleep hours and greater total sleep hours compared to those participants food sufficient without FAP. Compared to those deemed as food sufficient without FAP, food sufficient participants with FAP had lower odds of having longer sleep latency (OR = 0.50, 95% CI: 0.28, 0.89), after further adjusting for physical function performance. CONCLUSIONS: Among older adults, food sufficiency with FAP is associated with greater total sleep hours, greater nighttime sleep hours, and lower odds of longer sleep latency. Our findings may help inform nutrition food assistance programs targeting older populations.

Metabolomics and Risk of Dementia: A Systematic Review of Prospective Studies.

BACKGROUND: The projected increase in the prevalence of dementia has sparked interest in understanding the pathophysiology and underlying causal factors in its development and progression. Identifying novel biomarkers in the preclinical or prodromal phase of dementia may be important for predicting early disease risk. Applying metabolomic techniques to prediagnostic samples in prospective studies provides the opportunity to identify potential disease biomarkers. OBJECTIVE: The objective of this systematic review was to summarize the evidence on the associations between metabolite markers and risk of dementia and related dementia subtypes in human studies with a prospective design. DESIGN: We searched PubMed, PsycINFO, and Web of Science databases from inception through December 8, 2023. Thirteen studies (mean/median follow-up years: 2.1-21.0 y) were included in the review. RESULTS: Several metabolites detected in biological samples, including amino acids, fatty acids, acylcarnitines, lipid and lipoprotein variations, hormones, and other related metabolites, were associated with risk of developing dementia. Our systematic review summarized the adjusted associations between metabolites and dementia risk; however, our findings should be interpreted with caution because of the heterogeneity across the included studies and potential sources of bias. Further studies are warranted with well-designed prospective cohort studies that have defined study populations, longer follow-up durations, the inclusion of additional diverse biological samples, standardization of techniques in metabolomics and ascertainment methods for diagnosing dementia, and inclusion of other related dementia subtypes. CONCLUSIONS: This study contributes to the limited systematic reviews on metabolomics and dementia by summarizing the prospective associations between metabolites in prediagnostic biological samples with dementia risk. Our review discovered additional metabolite markers associated with the onset of developing dementia and may help aid in the understanding of dementia etiology. The protocol is registered in the International Prospective Register of Systematic Reviews (PROSPERO) database (https://www.crd.york.ac.uk/prospero/; registration ID: CRD42022357521).

Observational Methods in Studies of Infant and Young Child Feeding Practices in Low- and Middle-Income Countries: A Twenty-Year Retrospective Review.

This narrative review describes the observational approaches used to study infant and young child feeding (IYCF) practices in low- and middle-income countries (LMICs) published between 2001 and 2021. Articles were included in this narrative review if they were (1) original peer-reviewed articles published in English in PubMed and Web of Science; (2) published between 1 January 2001, and 31 December 2021; (3) conducted in an LMIC; and (4) employed observations and focused on IYCF practices among children aged 6-59 months. The studies (n = 51) revealed a wide-ranging application of direct meal and full-day observations, as well as indirect spot checks, to study IYCF. The findings revealed that meal observations were typically conducted during a midday meal using precise recording approaches such as video and aimed to understand child-caregiver interactions or specialized nutritious food (SNF) usage. Conversely, full-day observations lasted between 6 and 12 h and often used a field notes-based recording approach. Behaviors occurring outside of mealtime, such as snacking or interhousehold food sharing, were also a primary focus. Finally, spot checks were conducted to indirectly assess SNF compliance during both announced and unannounced visits. This review highlights the adaptability of observations across contexts and their versatility when used as a primary data collection tool to help monitor and evaluate nutrition programs.

Prospective Study of Diet Quality and the Risk of Dementia in the Oldest Old.

This study examined the associations between overall diet quality and the risk of dementia in a rural cohort among the oldest old. Included in this prospective cohort study were 2232 participants aged ≥ 80 years and dementia-free at the baseline according to the Geisinger Rural Aging Study (GRAS), a longitudinal cohort in rural Pennsylvania. In 2009, diet quality was assessed by a validated dietary screening tool (DST). Incident cases of dementia during 2009-2021 were identified using diagnosis codes. This approach was validated by a review of electronic health records. Associations between diet quality scores and the incidence of dementia were estimated using the Cox proportional hazards models, adjusted for potential confounders. Across a mean of 6.90 years of follow-up, we identified 408 incident cases of all-cause dementia. Having a higher diet quality was not significantly associated with a lower risk for incidents of all-cause dementia (adjusted HR for the highest compared with the lowest tertile: 1.01, 95% CI: 0.79, 1.29, P-trend = 0.95). Similarly, we did not observe a significant association between diet quality and altered risks of Alzheimer's disease and other forms of dementia. Overall, having a higher diet quality was not significantly associated with a lower risk of dementia among the oldest old during the full follow-up.

Food Insufficiency, Supplemental Nutrition Assistance Program (SNAP) Status, and 9-Year Trajectory of Cognitive Function in Older Adults: The Longitudinal National Health and Aging Trends Study, 2012-2020.

BACKGROUND: Despite findings from cross-sectional studies, how food insecurity experience/Supplemental Nutrition Assistance Program (SNAP) status relates to cognitive decline over time has not been fully understood. OBJECTIVES: We aimed to investigate the longitudinal associations between food insecurity/SNAP status and cognitive function in older adults (≥65 y). METHODS: Longitudinal data from the National Health and Aging Trends Study 2012-2020 were analyzed (n = 4578, median follow-up years = 5 y). Participants reported food insecurity experience (5-item) and were classified as food sufficient (FS, no affirmative answer) and food insufficient (FI, any affirmative answer). The SNAP status was defined as SNAP participants, SNAP eligible nonparticipants (≤200% Federal Poverty Line, FPL), and SNAP ineligible nonparticipants (>200% FPL). Cognitive function was measured via validated tests in 3 domains, and the standardized domain-specific and combined cognitive function z-scores were calculated. Mixed-effect models with a random intercept were used to study how FI or SNAP status was associated with combined and domain-specific cognitive z-scores over time, adjusting for static and time-varying covariates. RESULTS: At baseline, 96.3% of the participants were FS and 3.7% were FI. In a subsample (n = 2832), 10.8% were SNAP participants, 30.7% were SNAP eligible nonparticipants, and 58.6% were SNAP ineligible nonparticipants. Compared with the FS group in the adjusted model (FI vs. FS), FI was associated with faster decline in the combined cognitive function scores [-0.043 (-0.055, -0.032) vs. -0.033 (-0.035, -0.031) z-scores per year, P-interaction = 0.064]. Cognitive decline rates (z-scores per year) in the combined score were similar in SNAP participants (ß = -0.030; 95% CI: -0.038, -0.022) and SNAP ineligible nonparticipants (ß = -0.028; 95% CI: -0.032, -0.024), both of which were slower than the rate in SNAP eligible nonparticipants (ß = -0.043; 95% CI: -0.048, -0.038; P-interaction < 0.0001). CONCLUSIONS: Food sufficiency and SNAP participation may be protective factors preventing accelerated cognitive decline in older adults.

Promising trends and influencing factors of complementary feeding practices in Côte d'Ivoire: An analysis of nationally representative survey data between 1994 and 2016.

Poor complementary feeding (CF) challenges early childhood growth. We examined the trends and influencing factors of CF practices among children aged 6-23 months in Côte d'Ivoire. Using data from Demographic and Health Surveys (DHS, 1994-2011) and Multiple Indicator Cluster Surveys (MICS, 2000-2016), the trends and predictors of World Health Organization-United Nations International Children's Emergency Fund CF indicators including the timely introduction of complementary foods (INTRO), minimum meal frequency (MMF), minimum dietary diversity (MDD) and minimum acceptable diet (MAD) were determined. Using 2016 MICS data, we applied multivariate logistic regression models to identify factors associated with CF indicators. Between 1994 and 2016, the mean proportion of children aged 6-8 months achieving INTRO was 56.9% and increased by about 25% points since 2006. Over 2011-2016, the proportion of children aged 6-23 months meeting MMF, MDD and MAD increased from 40.2% to 47.7%, 11.3% to 26.0% and 4.6% to 12.5%, respectively. Older children and those from urban households had higher odds of meeting MDD and MAD. Maternal TV watching was associated with higher odds of meeting MDD. The secondary or higher education levels of mothers significantly predicted higher odds of meeting INTRO and MDD. Currently, breastfeeding was also positively associated with odds of meeting MMF and MAD. Children from poorer households had lower odds of meeting MMF, MDD and MAD. Despite the improvements, CF practices remain suboptimal in Côte d'Ivoire. Influencing factors associated with CF were distributed across individual, household and community levels, calling for future programmes and policies to implement multi-level strategies to improve young children's diet in Côte d'Ivoire.

Food Insecurity and Mental Well-Being in Immigrants: A Global Analysis.

INTRODUCTION: This study estimates the prevalence of food insecurity, mental well-being, and their associations among immigrants and compares the food insecurity-mental well-being associations with nonimmigrants globally and by region. METHODS: The Gallup World Poll data from 2014 to 2019 were analyzed in 2021. A total of 36,313 immigrants and 705,913 nonimmigrants were included. Food insecurity was measured by the Food Insecurity Experience Scale. Mental well-being was assessed using the Negative Experience Index and Positive Experience Index. A community attachment index was used to measure the living environment. Multilevel mixed-effect linear models were used to examine how the Negative Experience Index/Positive Experience Index was associated with food insecurity and the community attachment index in immigrants and nonimmigrants, adjusting for sociodemographic characteristics, survey years, and country fixed effects. The modifying effects of immigration status on food insecurity-mental well-being associations were tested. RESULTS: The weighted proportion of food insecurity among global immigrants was 38.6% during 2014-2019. In the pooled adjusted model, food insecurity was dose-responsively associated with greater Negative Experience Index and lower Positive Experience Index than the food-secure ref (p<0.001 for trend). Similar dose-response associations were observed in nonimmigrants and in region-specific analyses. Community attachment marginally affected the food insecurity-mental well-being associations (all p≤0.001 for interaction). Immigration status significantly modified the food insecurity-mental well-being associations in all analyses (all p=0.01 for interaction), and immigrants experienced poorer mental well-being than nonimmigrants at the same level of community attachment and food insecurity. CONCLUSIONS: Food insecurity is prevalent and is associated with poor mental well-being in immigrants worldwide. Future interventions are needed to alleviate food insecurity and promote community attachment to improve mental health among immigrants, especially in Asian and Pacific countries.

Application of the deep learning algorithm in nutrition research - using serum pyridoxal 5'-phosphate as an example.

BACKGROUND: Multivariable linear regression (MLR) models were previously used to predict serum pyridoxal 5'-phosphate (PLP) concentration, the active coenzyme form of vitamin B6, but with low predictability. We developed a deep learning algorithm (DLA) to predict serum PLP based on dietary intake, dietary supplements, and other potential predictors. METHODS: This cross-sectional analysis included 3778 participants aged ≥20 years in the National Health and Nutrition Examination Survey (NHANES) 2007-2010, with completed information on studied variables. Dietary intake and supplement use were assessed with two 24-hour dietary recalls. We included potential predictors for serum PLP concentration in the models, including dietary intake and supplement use, sociodemographic variables (age, sex, race-ethnicity, income, and education), lifestyle variables (smoking status and physical activity level), body mass index, medication use, blood pressure, blood lipids, glucose, and C-reactive protein. We used a 4-hidden-layer deep neural network to predict PLP concentration, with 3401 (90%) participants for training and 377 (10%) participants for test using random sampling. We obtained outputs after sending the features of the training set and conducting forward propagation. We then constructed a loss function based on the distances between outputs and labels and optimized it to find good parameters to fit the training set. We also developed a prediction model using MLR. RESULTS: After training for 105 steps with the Adam optimization method, the highest R2 was 0.47 for the DLA and 0.18 for the MLR model in the test dataset. Similar results were observed in the sensitivity analyses after we excluded supplement-users or included only variables identified by stepwise regression models. CONCLUSIONS: DLA achieved superior performance in predicting serum PLP concentration, relative to the traditional MLR model, using a nationally representative sample. As preliminary data analyses, the current study shed light on the use of DLA to understand a modifiable lifestyle factor.

Dietary Approaches to Stop Hypertension (DASH)-Style Dietary Pattern and 24-Hour Ambulatory Blood Pressure in Elderly Chinese with or without Hypertension.

BACKGROUND: It is unknown whether the Dietary Approaches to Stop Hypertension (DASH) dietary pattern is associated with other blood pressure (BP) variables, beyond mean systolic blood pressure (SBP) and diastolic blood pressure (DBP). OBJECTIVES: The study aimed to study the associations between the DASH dietary pattern and daytime and nighttime mean BPs and BP variance independent of the mean (VIM). METHODS: A sample of 324 Chinese adults aged ≥ 60 y who were not on BP-lowering medications were included in the analysis. The DASH score was calculated using data collected by a validated FFQ. The 24-h ambulatory BP was measured and the mean and VIM SBP and DBP were calculated for both the daytime (06:00-21:59) and nighttime periods (22:00-05:59). Multivariable linear models were constructed to assess associations between the DASH dietary pattern and daytime and nighttime BP outcomes, adjusting for sociodemographic factors, lifestyle, BMI, and hypertension (clinic SBP ≥ 140 mm Hg or DBP ≥ 90 mm Hg), and sleep parameters (only for nighttime BP outcomes). An interaction term between DASH score and hypertension status was added to explore the potential differential association in normotensive and hypertensive individuals. RESULTS: Every 1-unit increase in the DASH score was associated with a 0.18-unit (95% CI: -0.34, -0.01 unit) and a 0.22-unit (95% CI: -0.36, -0.09 unit) decrease in nighttime VIM SBP and nighttime VIM DBP, respectively. DASH score was not associated with any daytime BP outcomes, nighttime mean SBP, or nighttime mean DBP. A significant interaction (DASH score × hypertension status) was detected for VIM SBP (P-interaction = 0.04), indicating a differential association between DASH score and nighttime VIM SBP by hypertension status. CONCLUSIONS: Independently of sleep parameters and other factors, the DASH dietary pattern is associated with lower nighttime BP variability in elderly adults.

Daily Food Insecurity Predicts Lower Positive and Higher Negative Affect: An Ecological Momentary Assessment Study.

Food insecurity (FI) is a dynamic phenomenon, and its association with daily affect is unknown. We explored the association between daily FI and affect among low-income adults during a 2-seasonal-month period that covered days both pre- and during the COVID-19 pandemic. A total of 29 healthy low-income adults were recruited during fall in 2019 or 2020, 25 of whom were followed in winter in 2020 or 2021. Daily FI (measured once daily) and affect (measured 5 times daily) were collected over the 2nd-4th week in each month. Time-Varying-Effect-Models were used to estimate the association between daily FI and positive/negative affect (PA/NA). Overall, 902 person-days of daily-level data were collected. Daily FI was associated with lower PA in the 3rd and 4th week of fall and winter and with higher NA in the second half of winter months. Similar patterns of FI-affect relations were found pre- and during COVID-19 in the second half of a given month, while unique patterns of positive affect scores in the 2nd week and negative scores in the 1st week were only observed during COVID days. Our study supports a time-varying association between FI and affect in low-income adults. Future large studies are needed to verify the findings; ultimately, better understanding such associations may help identify, target, and intervene in food insecure adults to prevent adverse mental health outcomes.

Daily food insecurity is associated with diet quality, but not energy intake, in winter and during COVID-19, among low-income adults.

BACKGROUND: Food insecurity (FI) is a dynamic phenomenon. Experiences of daily FI may impact dietary outcomes differently within a given month, across seasons, and before or during the COVID-19 pandemic. OBJECTIVES: The aims of this study were to investigate the association of short-term FI with dietary quality and energy 1) over six weeks in two seasonal months and 2) before and during the COVID-19 pandemic. METHODS: Using an ecological momentary assessment framework on smartphones, this study tracked daily FI via the 6-item U.S. Adult Food Security Survey Module and dietary intake via food diaries in 29 low-income adults. A total of 324 person-days of data were collected during two three-week long waves in fall and winter months. Generalized Estimating Equation models were applied to estimate the daily FI-diet relationship, accounting for intrapersonal variation and covariates. RESULTS: A one-unit increase in daily FI score was associated with a 7.10-point (95%CI:-11.04,-3.15) and 3.80-point (95%CI: -6.08,-1.53) decrease in the Healthy Eating Index-2015 (HEI-2015) score in winter and during COVID-19, respectively. In winter months, a greater daily FI score was associated with less consumption of total fruit (-0.17 cups, 95% CI: -0.32,-0.02), whole fruit (-0.18 cups, 95%CI: -0.30,-0.05), whole grains (-0.57 oz, 95%CI: -0.99,-0.16) and higher consumption of refined grains (1.05 oz, 95%CI: 0.52,1.59). During COVID-19, elevated daily FI scores were associated with less intake of whole grains (-0.49 oz, 95% CI: -0.88,-0.09), and higher intake of salt (0.34 g, 95%CI: 0.15,0.54). No association was observed in fall nor during the pre-COVID-19 months. No association was found between daily FI and energy intake in either season, pre-COVID 19, or during-COVID-19 months. CONCLUSION: Daily FI is associated with compromised dietary quality in low-income adults in winter months and during the COVID-19 period. Future research should delve into the underlying factors of these observed relationships.

Food insecurity is associated with higher food responsiveness in low-income children: The moderating role of parent stress and family functioning.

BACKGROUND: Food insecurity (FI) may increase the odds for childhood obesity, yet little is known about the mechanism explaining this relationship. Parents experience greater psychosocial stress in the context of FI. In these environments, children from FI households may exhibit different appetitive behaviours. OBJECTIVES: To examine associations between FI and appetitive behaviours in children (3-5 years) and to explore whether social, emotional and structural properties of the home environment moderate this relationship. METHODS: In a low-income sample of 504 parent-child dyads, parents completed the household food security module and the Children's Eating Behavior Questionnaire. A subsample (n = 361) self-reported perceived stress, depressive symptoms, household chaos and family functioning. Children were categorized as food secure, household FI and child FI. RESULTS: Food responsiveness (LSmeans ± SE; child FI: 2.56 ± 0.13; food secure: 2.31 ± 0.10, p < 0.05) and emotional overeating (LSmeans ± SE; child FI: 1.69 ± 0.10; food secure: 1.48 ± 0.08, p < 0.05) were higher among children in the child FI group compared to the food secure group. Child FI was only associated with higher food responsiveness among children of parents reporting high levels of perceived stress (p = 0.04) and low levels of family functioning (p = 0.01). There were no differences in food responsiveness by food security status at mean or low levels of perceived stress or at mean or high levels of family functioning (p > 0.05). CONCLUSIONS: Child FI may contribute to obesity risk through differences in appetitive behaviours. For low-income families, stress management and improving family dynamics may be important factors for interventions designed to improve children's appetitive behaviours.

The risk of ischemic stroke and hemorrhagic stroke in Chinese adults with low-density lipoprotein cholesterol concentrations < 70 mg/dL.

BACKGROUND: The risk of stroke in individuals with very low low-density lipoprotein cholesterol (LDL-C) concentrations remains high. We sought to prioritize predictive risk factors for stroke in Chinese participants with LDL-C concentrations < 70 mg/dL using a survival conditional inference tree, a machine learning method. METHODS: The training dataset included 9327 individuals with LDL-C concentrations < 70 mg/dL who were free of cardiovascular diseases and did not use lipid-modifying drugs from the Kailuan I study (N = 101,510). We examined the validity of this algorithm in a second Chinese cohort of 1753 participants with LDL-C concentrations < 70 mg/dL from the Kailuan II study (N = 35,856). RESULTS: During a mean 8.5-9.0-year follow-up period, we identified 388 ischemic stroke cases and 145 hemorrhagic stroke cases in the training dataset and 20 ischemic stroke cases and 8 hemorrhagic stroke cases in the validation dataset. Of 15 examined predictors, poorly controlled blood pressure and very low LDL-C concentrations (≤ 40 mg/dL) were the top hierarchical predictors of both ischemic stroke risk and hemorrhagic stroke risk. The groups, characterized by the presence of 2-3 of aforementioned risk factors, were associated with a higher risk of ischemic stroke (hazard ratio (HR) 7.03; 95% confidence interval (CI) 5.01-9.85 in the training dataset; HR 4.68, 95%CI 1.58-13.9 in the validation dataset) and hemorrhagic stroke (HR 3.94, 95%CI 2.54-6.11 in the training dataset; HR 4.73, 95%CI 0.81-27.6 in the validation dataset), relative to the lowest risk groups (presence of 0-1 of these factors). There was a linear association between cumulative average LDL-C concentrations and stroke risk. LDL-C concentrations ≤ 40 mg/dL was significantly associated with increased risk of ischemic stroke (HR 2.07, 95%CI 1.53, 2.80) and hemorrhagic stroke (HR 2.70, 95%CI 1.70, 4.30) compared to LDL-C concentrations of 55-70 mg/dL, after adjustment for age, hypertension status, and other covariates. CONCLUSION: Individuals with extremely low LDL-C concentrations without previous lipid-modifying treatment could still be at high stroke risk. TRIAL REGISTRATION: Chinese Clinical Trial Register, ChiCTR-TNRC-11001489 . Registered on 24-08-2011.

Restless legs syndrome and perceived olfactory and taste dysfunction: A community-based study.

BACKGROUND AND PURPOSE: Restless legs syndrome (RLS) has been suggested as a prodromal symptom of Parkinson disease (PD). Olfactory or taste dysfunction can also occur preceding PD diagnosis. However, whether RLS is associated with chemosensory dysfunction remains unknown. We thus aim to investigate the association between RLS and perceived olfactory and taste dysfunction. METHODS: We performed a cross-sectional analysis including 90,337 Chinese adults free of neurodegenerative diseases in the Kailuan study in 2016. Presence of RLS was defined using revised RLS diagnostic criteria or the Cambridge-Hopkins questionnaire for RLS. Perceived olfactory and taste dysfunction was collected via a questionnaire. The association between RLS and perceived olfactory and taste dysfunction was assessed using logistic regression model, adjusting for potential cofounders such as age, sex, and medical history. RESULTS: RLS was associated with high odds of having perceived olfactory and/or taste dysfunction (adjusted odds ratio = 5.92, 95% confidence interval = 3.11-11.3). The significant association persisted when using the Cambridge-Hopkins questionnaire (adjusted odds ratio = 5.55, 95% confidence interval = 2.37-13.0) or when excluding participants with major chronic diseases. CONCLUSIONS: RLS was associated with increased odds of perceived olfactory and taste dysfunction.

Global, regional and national epidemiology and prevalence of child stunting, wasting and underweight in low- and middle-income countries, 2006-2018.

In 2016, undernutrition, as manifested in childhood stunting, wasting, and underweight were estimated to cause over 1.0 million deaths, 3.9% of years of life lost, and 3.8% of disability-adjusted life years globally. The objective of this study is to estimate the prevalence of undernutrition in low- and middle-income countries (LMICs) using the 2006-2018 cross-sectional nationally representative demographic and health surveys (DHS) data and to explore the sources of regional variations. Anthropometric measurements of children 0-59 months of age from DHS in 62 LMICs worldwide were used. Complete information was available for height-for-age (n = 624,734), weight-for-height (n = 625,230) and weight-for-age (n = 626,130). Random-effects models were fit to estimate the pooled prevalence of stunting, wasting, and underweight. Sources of heterogeneity in the prevalence estimates were explored through subgroup meta-analyses and meta-regression using generalized linear mixed-effects models. Human development index (a country-specific composite index based on life expectancy, literacy, access to education and per capita gross domestic product) and the United Nations region were explored as potential sources of variation in undernutrition. The overall prevalence was 29.1% (95% CI 26.7%, 31.6%) for stunting, 6.3% (95% CI 4.6%, 8.2%) for wasting, and 13.7% (95% CI 10.9%, 16.9%) for underweight. Subgroup analyses suggested that Western Africa, Southern Asia, and Southeastern Asia had a substantially higher estimated prevalence of undernutrition than global average estimates. In multivariable meta-regression, a combination of human development index and United Nations region (a proxy for geographical variation) explained 54%, 56%, and 66% of the variation in stunting, wasting, and underweight prevalence, respectively. Our findings demonstrate that regional, subregional, and country disparities in undernutrition remain, and the residual gaps to close towards achieving the second sustainable development goal-ending undernutrition by 2030.

The Association Between Monocyte Subsets and Cardiometabolic Disorders/Cardiovascular Disease: A Systematic Review and Meta-Analysis.

Background: Monocyte subsets in humans, i.e., classical (CM), intermediate (IM), and non-classical monocytes (NCM), are thought to differentially contribute to the pathogenesis of atherosclerosis, the leading cause of cardiovascular disease (CVD). However, the association between monocyte subsets and cardiometabolic disorders and CVD is not well-understood. Thus, the aim of the current systematic review and meta-analysis was to evaluate recent findings from clinical studies that examined the association between the distribution of monocyte subsets in subjects with cardiometabolic disorders and CVD compared to healthy controls. Methods: Articles were systematically searched in CINAHL, PubMed and Cochrane Library. Articles were independently screened and selected by two reviewers. Studies that reported the percentage of each monocyte subset were included in the systematic review and meta-analysis. For the meta-analysis, a random-effects model was used to generate pooled standardized mean differences (SMD) between subjects with cardiometabolic disorders and healthy controls. Results: A total of 1,693 articles were screened and 27 studies were selected for qualitative analyses. Among them, six studies were included in the meta-analysis. In total, sample size ranged from 22 to 135 and mean or median age from 22 to 70 years old. We found studies that reported higher percentage and number of IM and/or NCM in subjects with cardiometabolic disorders (9 out of 13 studies) and in subjects with CVD (11 out of 15 studies) compared to healthy controls. In the meta-analysis, the percentage of CM was lower [SMD = -1.21; 95% CI (-1.92, -0.50); P = 0.0009; I 2 = 91%] and the percentage of IM [SMD = 0.56; 95% CI (0.23, 0.88); P = 0.0008; I 2 = 65%] and NCM [SMD = 1.39; 95% CI (0.59, 2.19); P = 0.0007; I 2 = 93%] were higher in subjects with cardiometabolic disorders compared to healthy controls. Conclusions: Individuals with cardiometabolic disorders and CVD may have a higher percentage of IM and NCM than healthy controls. Future studies are needed to evaluate the cause and biological significance of this potential altered distribution of monocyte subsets.

Head Start Parents With or Without Food Insecurity and With Lower Food Resource Management Skills Use Less Positive Feeding Practices in Preschool-Age Children.

BACKGROUND: Food resource management (FRM), strategies to stretch limited food resource dollars, may mitigate the impact of household food insecurity (HFI) on family members, including young children. However, little is known about how FRM and HFI are associated with child feeding practices. OBJECTIVES: The study aimed to explore relationships between HFI, FRM, and child feeding practices of low-income parents. METHODS: In a cross-sectional sample of 304 Head Start households, caregivers completed the USDA HFI module [classifying them as either food secure (FS) or food insecure (FI)], FRM behavior subscale (classifying them as being high or low in management skills based on a median score split), Comprehensive Feeding Practices Questionnaire, and Perceived Stress Scale. Households were categorized into 4 HFI-FRM subgroups: FS/high FRM (30.6%), FS/low FRM (31.3%), FI/high FRM (18.8%), and FI/low FRM (19.4%). Multivariable linear regression was used to examine whether feeding practices differed across HFI-FRM categories and whether the addition of parental perceived stress contributed to differences in feeding practices by HFI-FRM group. RESULTS: In our study, 38% of households were FI. Compared to the FS/high FRM group in the adjusted models, the FS/low FRM group used less monitoring (-0.53; 95% CI: -0.78 to -0.28), modeling (-0.38; 95% CI: -0.64 to -0.13), and involvement (-0.57; 95% CI: -0.82 to -0.32) in feeding. A similar pattern emerged for the FI/low FRM group. The use of food as a reward was higher in the FI/high FRM (0.35; 95% CI: 0.02-0.67) and FI/low FRM groups (0.33; 95% CI: 0.01-0.66) compared to the FS/high FRM group. Perceived stress was positively associated with the use of negative, controlling feeding practices, and contributed to differences in using food as a reward within the HFI-FRM group. CONCLUSIONS: Suboptimal child feeding is evident in low-income caregivers with low FRM skills, with or without food insecurity. Promoting high FRM skills, in addition to addressing food insecurity, could potentially synergistically improve child feeding practices in low-income households.