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).

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.

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 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.

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.

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.

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.

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.

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.

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.

Alcohol consumption and risk of cardiovascular disease, cancer and mortality: a prospective cohort study.

BACKGROUND: Studies regarding whether light to moderate alcohol consumption is associated with a lower risk of cardiovascular diseases (CVD) have generated mixed results. Further, few studies have examined the potential impact of alcohol consumption on diverse disease outcomes simultaneously. We aimed to prospectively study the dose-response association between alcohol consumption and risk of CVD, cancer, and mortality. METHODS: This study included 83,732 adult Chinese participants, free of CVD and cancer at baseline. Participants were categorized into 6 groups based on self-report alcohol consumption: 0, 1-25, 26-150, 151-350, 351-750, and > 750 g alcohol/wk. Incident cases of CVD, cancers, and mortality were confirmed by medical records. Hazard ratios (HRs) for the composite risk of these three outcomes, and each individual outcome, were calculated using Cox proportional hazard model. RESULTS: During a median follow-up of 10.0 years, there were 6411 incident cases of CVD, 2947 cancers and 6646 deaths. We observed a J-shaped relation between alcohol intake and risk of CVD, cancer, and mortality, with the lowest risk at 25 g/wk., which is equivalent to ~ 2 servings/wk. Compared to consuming 1-25 g/wk., the adjusted HR for composite outcomes was 1.38 (95% confidence interval (CI):1.29-1.49) for non-drinker, 1.15 (95% CI: 1.04-1.27) for 26-150 g/wk., 1.22 (95% CI: 1.10-1.34) for 151-350 g/wk., 1.33 (95% CI: 1.21-1.46) for 351-750 g/wk., and 1.57 (95% CI: 1.30-1.90) for > 750 g/wk., after adjusting for age, sex, lifestyle, social economic status, and medication use. CONCLUSIONS: Light alcohol consumption at ~ 25 g/wk was associated with lower risk of CVD, cancer, and mortality than none or higher consumption in Chinese adults.

Psychosocial Risk Factors for Food Insecurity in Puerto Ricans Living in the USA from Baseline to 5-Year Follow-Up.

BACKGROUND: Food insecurity is prevalent among Puerto Rican adults in the USA and is associated with adverse psychosocial outcomes. However, the direction of this association has not been established in this understudied population. OBJECTIVES: In this study, we aimed to examine the longitudinal association between a group of psychosocial risk factors and subsequent food insecurity in a cohort of Puerto Rican adults. METHODS: Secondary analysis was conducted using data from the prospective Boston Puerto Rican Health Study. A total of 517 Puerto Rican participants aged 45-75 y in the Boston area who were food secure at baseline, and who completed food security surveys at baseline and 5 y were included. Psychosocial factors, including depressive symptoms, stress, tangible social support, and acculturation were assessed with validated instruments. Multivariable logistic regression models were used to examine the risk of food insecurity at 5 y, as a function of psychosocial factors at baseline and their changes over 5 y, adjusting for age, sex, education, baseline and change in total annual household income, and in family size. RESULTS: The cumulative incidence of food insecurity at 5 y was 12.6%. The odds of incident food insecurity was significantly associated with baseline depressive symptom score [OR = 1.78 (1.16, 2.76) per each 10 score units], with change in depressive symptom score [OR = 1.50 (1.07, 2.09) per each 10-unit increase], and with change in perceived stress [OR = 1.59 (1.01, 2.51) per each 10-unit increase], after adjusting for potential confounders. CONCLUSION: In this cohort of Puerto Rican adults, depressive symptoms at baseline, and increases in depressive symptoms and perceived stress over 5 y were associated with a higher risk of food insecurity. Psychosocial health and environment appear to play important roles in predicting risk of food insecurity in the Puerto Rican community.

Maternal nutritional status mediates the linkage between household food insecurity and mid-infancy size in rural Bangladesh.

Household food insecurity (HFI) is a major concern in South Asia. The pathways by which HFI may reduce child growth remain inadequately understood. In a cohort study of 12 693 maternal-infant dyads in rural Bangladesh, we examined association and likely explanatory pathways linking HFI, assessed using a validated nine-item perception-based index, to infant size at 6 months. Mothers were assessed early in pregnancy for anthropometric status, dietary diversity and socio-economic status. Infants were assessed for weight, length, and arm, chest and head circumferences and breast and complementary feeding status at birth and 6 months of age. Extent of HFI shared a negative, dose-response association with all measures of infant size at 6 months and odds of wasting and stunting; 57-89 % of variances in the unadjusted models were explained by prenatal factors (maternal nutritional status and dietary diversity), and birth size adjusted for gestational age. Postnatal infant breast and complementary feeding and morbidity exposures explained the remaining fraction of the significant association between HFI and differences in infant arm and chest circumferences and odds of underweight. Contextual (i.e. socio-economic) factors finally brought remaining non-significant fractions of the food insecurity-related mid-infancy growth deficit to practically zero. Improving food security prior to pregnancy and during gestation would likely improve infant growth the most in rural Bangladesh.

Food insecurity is associated with suboptimal sleep quality, but not sleep duration, among low-income Head Start children of pre-school age.

OBJECTIVE: To examine the association between food insecurity and child sleep outcomes and to investigate whether parent psychosocial factors mediate such associations. DESIGN: Cross-sectional study. Usual wake time and bedtime, bedtime routine and sleep quality were reported by parents using the adapted Brief Infant Sleep Questionnaire. Food insecurity was assessed using the eighteen-item US Department of Agriculture Household Food Security Module. Parent psychosocial factors, including perceived stress, parenting self-efficacy and depressive symptomology, were assessed using validated scales. Multivariable logistic regression models were performed to determine the association between food insecurity and sleep outcomes controlling for potential confounders. Mediation analyses and Sobel tests were applied to test the mediating effect of psychosocial factors. SETTING: Head Start pre-school classrooms in four regions across central Pennsylvania, USA. PARTICIPANTS: Low-income children of pre-school age (n 362) and their caregivers. RESULTS: Prevalence of household, adult and child food insecurity was 37·3, 31·8 and 17·7 %, respectively. Food security status at any level was not associated with child sleep duration or bedtime routine. Child food insecurity, but not household or adult food insecurity, was associated with 2·25 times increased odds (95 % CI 1·11, 4·55) of poor child sleep quality in the adjusted model. Perceived stress, self-efficacy and depressive symptomology mediated less than 2 % of the observed effect (all Sobel test P > 0·6). CONCLUSION: Food insecurity, particularly at the child level, is a potential modifiable risk factor for reducing sleep-related health disparities in early childhood. Future studies are needed to explore the plausible mechanisms underlying the associations between food insecurity and adverse child sleep outcomes.

Low-Density Lipoprotein Cholesterol and Risk of Hemorrhagic Stroke: a Systematic Review and Dose-Response Meta-analysis of Prospective Studies.

PURPOSE OF REVIEW: To systematically examine the association between low-density lipoprotein cholesterol (LDL-C) and risk of hemorrhagic stroke. RECENT FINDINGS: A previous meta-analysis of prospective studies published in 2013 showed that higher concentrations of LDL-C were associated with lower risk of hemorrhagic stroke. Recently, seven large cohort studies were published examining LDL-C and risk of hemorrhagic stroke in different populations. Twelve prospective studies with 476,173 participants and 7587 hemorrhagic stroke cases were included in the current meta-analysis. The results showed that a 10 mg/dL increase in LDL-C was associated with 3% lower risk of hemorrhagic stroke (pooled relative risk [RR] 0.97, 95% confidence interval [CI] 0.95-0.98). The association appeared to be more pronounced in Asians (pooled RR 0.95, 95% CI 0.92-0.98), relative to Caucasians (pooled RR 0.98, 95% CI 0.97-1.00), with a p heterogeneity of 0.05 between two ethnic groups. Further genetic studies and clinical trials with a stricter safety monitoring strategy are warranted to understand the underlying pathogenesis and determine the treatment target of LDL-C range with the lowest risk of hemorrhagic stroke in different population groups.

Does social support modify the relationship between food insecurity and poor mental health? Evidence from thirty-nine sub-Saharan African countries.

OBJECTIVE: The present study aimed to determine the relationship among food insecurity, social support and mental well-being in sub-Saharan Africa, a region presenting the highest prevalence of severe food insecurity and a critical scarcity of mental health care. DESIGN: Food insecurity was measured using the Food Insecurity Experience Scale (FIES). Social support was assessed using dichotomous indicators of perceived, foreign perceived, received, given, integrative and emotional support. The Negative and Positive Experience Indices (NEI and PEI) were used as indicators of mental well-being. Multilevel mixed-effect linear models were applied to examine the associations between mental well-being and food security status, social support and their interaction, respectively, accounting for random effects at country level and covariates.ParticipantsNationally representative adults surveyed through Gallup World Poll between 2014 and 2016 in thirty-nine sub-Saharan African countries (n 102 235). RESULTS: The prevalence of severe food insecurity was 39 %. The prevalence of social support ranged from 30 to 72 % by type. In the pooled analysis using the adjusted model, food insecurity was dose-responsively associated with increased NEI and decreased PEI. Perceived, integrative and emotional support were associated with lower NEI and higher PEI. The differences in NEI and PEI between people with and without social support were the greatest among the most severely food insecure. CONCLUSIONS: Both food insecurity and lack of social support constitute sources of vulnerability to poor mental well-being. Social support appears to modify the relationship between food security and mental well-being among those most affected by food insecurity in sub-Saharan Africa.

Predictors of complementary feeding practices in Afghanistan: Analysis of the 2015 Demographic and Health Survey.

Despite improvements over the past 20 years, high burdens of child mortality and undernutrition still coexist in Afghanistan. Global evidence indicates that complementary feeding (CF) practices predict child survival and nutritional status. Our study aims to describe CF practices in Afghanistan and to discern underlying predictors of CF by analysing data from Afghanistan's 2015 Demographic and Healthy Survey. Multilevel models were constructed comprising potential predictors at individual, household, and community levels and four CF indicators: timely introduction of solid, semi-solid, or soft foods (INTRO), minimum meal frequency (MMF), minimum dietary diversity (MDD), and minimum acceptable diet (MAD) among breastfed children. INTRO prevalence among children aged 6-8 months was 56%, whereas the prevalence of MMF, MDD, and MAD among children aged 6-23 months was 55%, 23%, and 18%, respectively. Of the seven food groups considered, four were consumed by 20% or fewer children: eggs (20%), legumes and nuts (18%), fruits and vegetables (15%), and flesh foods (14%). Increasing child age and more antenatal care visits were significantly and positively associated with greater odds of meeting all CF indicators. Lower household wealth and lower community-level access to health care services were associated with lower odds of MDD and MAD. Disparities in achieving recommended CF practices were observed by region. CF practices in Afghanistan are poor and significant socioeconomic inequities in CF are observed across the country. Our study calls for urgent policy and programme attention to improve complementary feeding practices as an intrinsic part of the national development agenda.

Stagnating trends in complementary feeding practices in Bangladesh: An analysis of national surveys from 2004-2014.

Bangladesh has experienced steady socio-economic development. However, improvements in child growth have not kept pace. It is important to document complementary feeding (CF) practices-a key determinant of children's growth-and their trends over time. The study aims to examine trends in CF practices in children aged 6-23 months using data from Bangladesh Demographic and Health Surveys conducted in 2004, 2007, 2011, and 2014. Multilevel logistic regression models were applied to identify independent predictors of four CF practice indicators among children 6-23 months, namely, timely introduction of complementary foods, minimum meal frequency, minimum dietary diversity, and minimum acceptable diet. Introduction of complementary foods was achieved among 64-71% of children between 2004 and 2014. The proportion meeting minimum meal frequency increased from 2004 to 2007 (71-81%) and declined and held steady at 65% from 2011 to 2014. The proportion meeting minimum dietary diversity in 2011 and 2014 was low (25% and 28%), and so was minimum acceptable diet (19% and 20%). From 2007 to 2014, child dietary diversity decreased and the most decline was in the consumption of legumes and nuts (29% to 8%), vitamin A-rich fruits and vegetables (54% to 41%), and other fruits and vegetables (47% to 20%). Young child age (6-11 months), poor parental education, household poverty, and residence in the Chittagong and Sylhet independently predicted poorer feeding practices. Dietary diversity and overall diet in Bangladeshi children are strikingly poor. Stagnation or worsening of feeding practices in the past decade are concerning and call for decisive policy and programme action to address inappropriate child feeding practices.

Trends and predictors of appropriate complementary feeding practices in Nepal: An analysis of national household survey data collected between 2001 and 2014.

There is evidence that suboptimal complementary feeding contributes to poor child growth. However, little is known about time trends and determinants of complementary feeding in Nepal, where the prevalence of child undernutrition remains unacceptably high. The objective of the study was to examine the trends and predictors of suboptimal complementary feeding in Nepali children aged 6-23 months using nationally representative data collected from 2001 to 2014. Data from the 2001, 2006, and 2011 Nepal Demographic and Health Surveys and the 2014 Multiple Indicator Cluster Survey were used to estimate the prevalence, trends and predictors of four WHO-UNICEF complementary feeding indicators: timely introduction of complementary foods (INTRO), minimum meal frequency (MMF), minimum dietary diversity (MDD), and minimum acceptable diet (MAD). We used multilevel logistic regression models to identify independent factors associated with these indicators at the individual, household and community levels. In 2014, the weighted proportion of children meeting INTRO, MMF, MDD, and MAD criteria were 72%, 82%, 36% and 35%, respectively, with modest average annual rate of increase ranging from 1% to 2%. Increasing child age, maternal education, antenatal visits, and community-level access to health care services independently predicted increasing odds of achieving MMF, MDD, and MAD. Practices also varied by ecological zone and sociocultural group. Complementary feeding practices in Nepal have improved slowly in the past 15 years. Inequities in the risk of inappropriate complementary feeding are evident, calling for programme design and implementation to address poor feeding and malnutrition among the most vulnerable Nepali children.