Exploring the link between tooth loss, cognitive function, and brain wellness in the context of healthy aging.

AIMS: The aim of this study was to evaluate the utility of using MRI-derived tooth count, an indirect and nonspecific indicator of oral/periodontal health, and brain age gap (BAG), an MRI-based measure of premature brain aging, in predicting cognition in a population of otherwise healthy adults. METHODS: This retrospective study utilized data from 329 participants from the University of South Carolina's Aging Brain Cohort Repository. Participants underwent neuropsychological testing including the Montreal Cognitive Assessment (MoCA), completed an oral/periodontal health questionnaire, and submitted to high-resolution structural MRI imaging. The study compared variability on cognitive scores (MoCA) accounted for by MRI-derived BAG, MRI-derived total tooth count, and self-reported oral/periodontal health. RESULTS: We report a significant positive correlation between the total number of teeth and MoCA total scores after controlling for age, sex, and race, indicating a robust relationship between tooth count and cognition, r(208) = .233, p < .001. In a subsample of participants identified as being at risk for MCI (MoCA <= 25, N = 36) inclusion of MRI-based tooth count resulted in an R2 change of .192 (H0 = 0.138 → H1 = 0.330), F(1,31) = 8.86, p = .006. Notably, inclusion of BAG, a valid and reliable measure of overall brain health, did not significantly improve prediction of MoCA scores in similar linear regression models. CONCLUSIONS: Our data support the idea that inclusion of MRI-based total tooth count may enhance the ability to predict clinically meaningful differences in cognitive abilities in healthy adults. This study contributes to the growing body of evidence linking oral/periodontal health with cognitive function.

Identifying a group of factors predicting cognitive impairment among older adults.

BACKGROUND: Cognitive impairment has multiple risk factors spanning several domains, but few studies have evaluated risk factor clusters. We aimed to identify naturally occurring clusters of risk factors of poor cognition among middle-aged and older adults and evaluate associations between measures of cognition and these risk factor clusters. METHODS: We used data from the National Health and Nutrition Examination Survey (NHANES) III (training dataset, n = 4074) and the NHANES 2011-2014 (validation dataset, n = 2510). Risk factors were selected based on the literature. We used both traditional logistic models and support vector machine methods to construct a composite score of risk factor clusters. We evaluated associations between the risk score and cognitive performance using the logistic model by estimating odds ratios (OR) and 95% confidence intervals (CI). RESULTS: Using the training dataset, we developed a composite risk score that predicted undiagnosed cognitive decline based on ten selected predictive risk factors including age, waist circumference, healthy eating index, race, education, income, physical activity, diabetes, hypercholesterolemia, and annual visit to dentist. The risk score was significantly associated with poor cognitive performance both in the training dataset (OR Tertile 3 verse tertile 1 = 8.15, 95% CI: 5.36-12.4) and validation dataset (OR Tertile 3 verse tertile 1 = 4.31, 95% CI: 2.62-7.08). The area under the receiver operating characteristics curve for the predictive model was 0.74 and 0.77 for crude model and model adjusted for age, sex, and race. CONCLUSION: The model based on selected risk factors may be used to identify high risk individuals with cognitive impairment.

Antenatal depressive symptoms and adverse birth outcomes in healthy start participants: The modifying role of utilization of mental health services.

OBJECTIVE: We examined the association between antenatal depressive symptoms and adverse birth outcomes in Midland Healthy Start (MHS) participants and determined whether receiving mental health services reduced the odds of adverse outcomes among those with elevated antenatal depressive symptoms. METHOD: Data from a retrospective cohort of participants (N = 1,733) served by the MHS in South Carolina (2010-2019) were linked with their birth certificates. A score of ≥16 on the Center for Epidemiologic Studies Depression Scale was defined as elevated antenatal depressive symptoms. Services provided by MHS were categorized into: (1) receiving mental health services, (2) receiving other services, and (3) not receiving any services. Adverse birth outcomes included preterm birth, low birth weight, and small for gestational age. RESULTS: Around 31 % had elevated antenatal depressive symptoms. The prevalences of preterm birth, low birthweight, and small for gestational age were 9.5 %, 9.1 %, and 14.6 %, respectively. No significant associations were observed between elevated depressive symptoms and adverse outcomes. Among women with elevated antenatal depressive symptoms, the odds for small for gestational age were lower in those who received mental health services (AOR 0.33, 95 % CI 0.15-0.72) or other services (AOR 0.34, 95 % CI 0.16-0.74) compared to those who did not receive any services. The odds for low birth weight (AOR 0.34, 95 % CI 0.13-0.93) were also lower in those who received mental health services. CONCLUSIONS: Receiving screening and referral services for antenatal depression reduced the risks of having small for gestational age or low birth weight babies among MHS participants.

Association Between Physical Activity During Pregnancy and Perinatal Depressive Symptoms in Pregnant Individuals With Overweight and Obesity.

INTRODUCTION: Current research on the association between physical activity and perinatal depression is inconclusive. This study examined the association between objectively measured physical activity during pregnancy and perinatal depressive symptoms among individuals with overweight and obesity. METHODS: Data came from the Health in Pregnancy and Postpartum study (N = 205). Physical activity was measured using the SenseWear Armband at 16 weeks' or fewer and 32 weeks' gestation and categorized into 1) never meeting 2018 physical activity guidelines, 2) meeting the guidelines at one time point, or 3) meeting the guidelines at both time points. Antenatal depressive symptoms were assessed at 32 weeks' gestation, and postpartum depressive symptoms were assessed at 6 and 12 months postpartum using the Edinburgh Postnatal Depression Scale. A score of 10 or higher was defined as probable at least minor depression (hereafter, probable depression). RESULTS: Nearly one-half of the participants (45.4%) met physical activity guidelines both in early and late pregnancy. Pregnant individuals who met physical activity guidelines at one (adjusted odds ratio, 0.07; 95% confidence interval, 0.01-0.76) or both time points (adjusted odds ratio, 0.08; 95% confidence interval, 0.01-0.69) during pregnancy had lower odds of probable depression at 6 months postpartum than individuals who never met physical activity guidelines during pregnancy. No significant associations were found between prenatal physical activity and probable antenatal or postpartum depression at 12 months. CONCLUSIONS: Antenatal physical activity was associated with lower odds of probable depression at 6 months after childbirth. Physicians should use evidence-based strategies to encourage pregnant people, especially those who are at risk for postpartum depression, to meet physical activity guidelines.

Association between clusters of antibodies against periodontal microorganisms and Alzheimer disease mortality: Evidence from a nationally representative survey in the USA.

BACKGROUND: Alzheimer disease (AD) has been linked with periodontal microorganisms such as Porphyromonas gingivalis in observational and mechanistic studies. IgG antibodies against periodontal microorganisms which are markers of past and current periodontal infection have been correlated with cognitive impairment. We examined associations between empirically derived groups of 19 IgG antibodies against periodontal microorganisms and AD mortality. METHODS: Individuals participating in the Third National Health and Nutrition Examination Survey (NHANES III) with complete data on IgG titers were followed up between 1988 and December 31, 2019. The outcome was AD mortality, and the main exposures were IgG antibodies against periodontal microorganisms classified into four mutually exclusive groups using cluster analysis. Survey-weighted Cox proportional hazard models were used to evaluate adjusted hazard ratios (aHR) and 95% confidence intervals (CI) for the relationship between clusters and AD mortality. RESULTS: With up to 21 years of follow-up, 160 AD-related deaths were documented. In the multivariable-adjusted model, AD mortality overall was not associated with the Red-Green (aHR 1.18; 95% CI, 0.46-3.07), Yellow-Orange (aHR 1.36; 95% CI, 0.58-3.19), Orange-Blue (aHR 0.63; 95%, CI, 0.33-1.21), and the Orange-Red (aHR 0.79; 95% CI, 0.37-1.70) when the upper tertiles were compared to the bottom tertiles. However, the subgroup of middle-aged individuals in the highest tertile of the Red-Green cluster, but not older individuals, had a 13% higher risk of AD mortality (aHR 1.13; 95% CI, 1.02-1.26) compared with those in the bottom tertile. CONCLUSION: Clusters of IgG antibodies against periodontal microorganisms did not predict AD mortality in this study.

Household Food Insecurity Is Associated With Physical Activity in Youth and Young Adults With Diabetes: A Cross-Sectional Study.

BACKGROUND: Physical activity (PA) is essential for optimal diabetes management. Household food insecurity (HFI) may negatively affect diabetes management behaviors. The purpose of this study was to cross-sectionally examine the association between HFI and PA in youth and young adults (YYA) with type 1 (N = 1998) and type 2 (N = 391) diabetes from the SEARCH for Diabetes in Youth Study. METHODS: HFI was measured with the US Household Food Security Survey Module. PA was measured with the International Physical Activity Questionnaire Short Form. Walking, moderate-intensity PA (excluding walking), vigorous-intensity PA, moderate- to vigorous-intensity PA, and total PA were estimated as minutes per week, while time spent sitting was assessed in minutes per day. All were modeled with median regression. Meeting PA guidelines or not was modeled using logistic regression. RESULTS: YYA with type 1 diabetes who experienced HFI spent more time walking than those who were food secure. YYA with type 2 diabetes who experienced HFI spent more time sitting than those who were food secure. CONCLUSIONS: Future research should examine walking for leisure versus other domains of walking in relation to HFI and use objective PA measures to corroborate associations between HFI and PA in YYA with diabetes.

Longitudinal Associations of Diet, Food Insecurity, and Supplemental Nutrition Assistance Program Use with Global Cognitive Performance in Middle-Aged and Older Adults.

BACKGROUND: Diet quality, food access, and food assistance policies may be key modifiable factors related to cognitive decline. OBJECTIVE: We aimed to evaluate whether diet quality, food insecurity, and Supplemental Nutrition Assistance Program (SNAP) use are associated with longitudinal changes in cognition among older adults in the United States. METHODS: Food intake data from the Health Care and Nutrition Study were linked with longitudinal health information from 5 waves of the Health and Retirement Study (2012-2020). The analytic sample (n = 6968) included community-dwelling United States adults aged ≥51 y without cognitive impairment. Global cognition was measured using a telephone-based cognitive status interview (range: 0-27). Diet quality was measured with the Healthy Eating Index, using participants' average intake of 13 dietary components. Questions regarding food access and affordability were used to determine food insecurity and use of SNAP benefits. Linear mixed-effects regression models were used to estimate longitudinal associations between diet-related factors and cognitive score changes. RESULTS: Poorer diets [ß: -0.24; 95% confidence interval (CI): -0.33, -0.15], food insecurity (ß: -1.08; 95% CI: -1.31, -0.85), and SNAP use (ß: -0.57; 95% CI: -0.82, -0.32) were associated with lower baseline cognitive scores. Poorer diets (ß: -0.17; 95% CI: -0.29, -0.05) and food insecurity (ß: -0.23; 95% CI: -0.47, -0.01) were associated with significantly steeper declines in cognitive scores over time, after 8 and 2 y of follow-up, respectively; however, SNAP use was not significantly associated with the rate of cognitive decline over time. Estimates were qualitatively similar when restricting the sample to participants aged ≥65 y. CONCLUSIONS: Results suggest that food access and adherence to healthy diet recommendations may be important elements to maintain cognitive health in aging. SNAP benefits may be insufficient to prevent negative cognitive effects of poor diet and limited access to nutritious foods.

Dietary patterns, socioeconomic disparities, and risk of type 2 diabetes in the Sister Study.

AIMS: We investigated the role of socioeconomic disparities in the association between diet and risk of type 2 diabetes (T2D). METHODS: We used prospective data from 40,243 Sister Study participants aged 35 to 74 years who were enrolled in 2003-2009. Scores for healthy eating indices (alternate Mediterranean diet, Dietary Approaches to Stop Hypertension, alternative Healthy Eating Index, and Healthy Eating Index 2015 (HEI-2015)) were calculated using data from a 110-item food frequency questionnaire completed at enrollment. Incident T2D was defined based on self-reported physician's diagnosis or use of anti-diabetic medications. Multivariable-adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models. RESULTS: We observed inverse associations between all four dietary indices and incident T2D after multivariable adjustment. These associations were most pronounced among women with higher educational attainment, higher income, and lower area deprivation index (ADI) (e.g., for the HEI-2015: low ADI, aHRQ4vsQ1: 0.44, 95% CI: 0.35, 0.56 vs high ADI, aHRQ4vsQ1: 0.75, 95% CI: 0.63, 0.90; pinteraction: 0.0007). CONCLUSIONS: Weaker associations among women with lower socioeconomic status and higher neighborhood deprivation suggests that other factors play a larger role in T2D incidence than diet quality among individuals with low SES.

Periodontal Disease Treatment After Stroke or Transient Ischemic Attack: The PREMIERS Study, a Randomized Clinical Trial.

BACKGROUND: Patients with stroke/transient ischemic attack and periodontal disease (PD) are at increased risk for cardiovascular events. PD treatments that can improve stroke risk factors were tested if they might assist patients with cerebrovascular disease. METHODS: In this multicenter phase II trial, patients with stroke/transient ischemic attack and moderately severe PD were randomly assigned to intensive or standard PD treatment arms. The primary outcome measure was a composite of death, myocardial infarction, and recurrent stroke, as well as adverse events. Secondary outcome included changes in stroke risk factors. RESULTS: A total of 1209 patients with stroke/transient ischemic attack were screened, of whom 481 met the PD eligibility criteria; 280 patients were randomized to intensive arm (n=140) and standard arm (n=140). In 12-month period, primary outcome occurred in 11 (8%) in the intensive arm and 17 (12%) in the standard arm. The intensive arm was nonsuperior to the standard arm (hazard ratio, 0.65 [95% CI, 0.30-1.38]) with similar rates of adverse events (sepsis 2.1% versus 0.7%; dental bleeding 1.4% versus 0%; and infective endocarditis 0.7% versus 0%). Secondary-outcome improvements were noted in both arms with diastolic blood pressure and high-density lipoprotein cholesterol (P<0.05). CONCLUSIONS: In patients with recent stroke/transient ischemic attack and PD, intensive PD treatment was not superior to standard PD treatment in prevention of stroke/myocardial infarction/death. Fewer events were noted in the intensive arm and the 2 arms were comparable in the safety outcomes. Secondary-outcome measures showed a trend toward improvement, with significant changes noted in diastolic blood pressure and high-density lipoprotein in both the treatment arms.

Initiation of Antihypertensive Medication from Midlife on Incident Dementia: The Health and Retirement Study.

BACKGROUND: Hypertension has been identified as a risk factor of dementia, but most randomized trials did not show efficacy in reducing the risk of dementia. Midlife hypertension may be a target for intervention, but it is infeasible to conduct a trial initiating antihypertensive medication from midlife till dementia occurs late life. OBJECTIVE: We aimed to emulate a target trial to estimate the effectiveness of initiating antihypertensive medication from midlife on reducing incident dementia using observational data. METHODS: The Health and Retirement Study from 1996 to 2018 was used to emulate a target trial among non-institutional dementia-free subjects aged 45 to 65 years. Dementia status was determined using algorithm based on cognitive tests. Individuals were assigned to initiating antihypertensive medication or not, based on the self-reported use of antihypertensive medication at baseline in 1996. Observational analog of intention-to-treat and per-protocol effects were conducted. Pooled logistic regression models with inverse-probability of treatment and censoring weighting using logistic regression models were applied, and risk ratios (RRs) were calculated, with 200 bootstrapping conducted for the 95% confidence intervals (CIs). RESULTS: A total of 2,375 subjects were included in the analysis. After 22 years of follow-up, initiating antihypertensive medication reduced incident dementia by 22% (RR = 0.78, 95% CI: 0.63, 0.99). No significant reduction of incident dementia was observed with sustained use of antihypertensive medication. CONCLUSION: Initiating antihypertensive medication from midlife may be beneficial for reducing incident dementia in late life. Future studies are warranted to estimate the effectiveness using large samples with improved clinical measurements.

Prevalence of familial hypercholesterolemia in a country-wide laboratory network in Pakistan: 10-year data from 988, 306 patients.

INTRODUCTION: Familial hypercholesterolemia (FH) is a modifiable risk factor for premature coronary heart disease but is poorly diagnosed and treated. We leveraged a large laboratory network in Pakistan to study the prevalence, gender and geographic distribution of FH. METHODOLOGY: Data were curated from the Aga Khan University Hospital clinical laboratories, which comprises of 289 laboratories and collection points spread over 94 districts. Clinically ordered lipid profiles from 1st January 2009 to 30th June 2018 were included and data on 1,542,281 LDL-C values was extracted. We used the Make Early Diagnosis to Prevent Early Death (MEDPED) criteria to classify patients as FH and reported data on patients with low-density liporotein -cholesterol (LDL-C) ≥ 190 mg/dL. FH cases were also examined by their spatial distribution. RESULTS: After applying exclusions, the final sample included 988,306 unique individuals, of which 24,273 individuals (1:40) had LDL-C values of ≥190 mg/dL. Based on the MEDPED criteria, 2416 individuals (1:409) had FH. FH prevalence was highest in individuals 10-19 years (1:40) and decreased as the patient age increased. Among individuals ≥40 years, the prevalence of FH was higher for females compared with males (1:755 vs 1:1037, p < 0.001). Median LDL-C for the overall population was 112 mg/dL (IQR = 88-136 mg/dL). The highest prevalence after removing outliers was observed in Rajan Pur district (1.23% [0.70-2.10%]) in Punjab province, followed by Mardan (1.18% [0.80-1.70%]) in Khyber Pakhtunkhwa province, and Okara (0.99% [0.50-1.80%]) in Punjab province. CONCLUSION: There is high prevalence of actionable LDL-C values in lipid samples across a large network of laboratories in Pakistan. Variable FH prevalence across geographic locations in Pakistan may need to be explored at the population level for intervention and management of contributory factors. Efforts at early diagnosis and treatment of FH are urgently needed.

The Association Between Race, Ethnicity and Sleep Quality and Duration: A National Health Interview Survey Study.

BACKGROUND: Inadequate sleep duration and poor sleep quality are associated with adverse cardiovascular outcomes. METHODS: Using data from the National Health Interview Survey, we compared self-reported sleep duration and quality among different groups: Whites, Chinese, Asian Indian, Filipino, and Other Asians. Outcome included Sleep duration (≥7 and <7 hours) and sleep quality (coded as a binary variable). RESULTS: We included 155,203 participants. The overall prevalence of ≥7 hours of sleep was 69.5% and poor sleep quality was reported by 73.9%. Compared to Whites and Chinese, Filipinos, and Other Asians were less likely to get adequate sleep (≥7 hours). All 4 Asian groups were less likely to report poor sleep quality compared with White individuals, while Asian Indians reported poor sleep quality less frequently compared with Chinese individuals. CONCLUSION: There are significant differences in sleep duration and quality between White and Asian groups, as well as within Asian subgroups. Further studies with disaggregated Asian subgroup data are needed to formally study these disparities.

Ten-Year Cardiovascular Disease Risk Score and Cognitive Function Among Older Adults: The National Health and Nutrition Examination Survey 2011 to 2014.

Background The Framingham 10-year cardiovascular disease risk score, which is based on age, sex, smoking, total cholesterol, high-density lipoprotein-cholesterol, blood pressure, and diabetes, has been found to be associated with cognitive health, but these findings have not been validated in a representative sample in the United States. We aimed to examine the associations of Framingham risk score with cognitive function among older adults in a nationally representative sample, as well as by race or ethnicity, education, and family income. Methods and Results A total of 2254 older adults ≥60 years (57% female, 79% non-Hispanic White) in the National Health and Nutrition Examination Survey 2011 to 2014 were included in the final sample for analysis. All components of the Framingham risk score were obtained with questionnaire or measured in the laboratory. Cognitive function was examined using the Consortium to Establish a Registry for Alzheimer's Disease Word List Memory Task (immediate and delayed memory), Digit Symbol Substitution Test, and Animal Fluency Test. Multivariable linear regression models were used to assess the associations between Framingham risk score and test-specific and global cognition Z scores. Each incremental 5% in Framingham 10-year cardiovascular disease risk was associated with lower Z scores for Digit Symbol Substitution Test (ß=-0.06 [95% CI, -0.09 to -0.03]), delayed memory (ß=-0.05 [95% CI, -0.08 to -0.01]), immediate memory (ß=-0.07 [95% CI, -0.10 to -0.03]), and global cognition (ß=-0.05 [95% CI, -0.09 to -0.02]). Socioeconomic status, particularly race or ethnicity and monthly income levels, were strong effect measure modifiers of the associations. Conclusions Lower cardiovascular risk factors are associated with better cognitive function.

Impact of a Large Healthy Start Program on Perinatal Outcomes, South Carolina, 2009-2019.

Using linked birth and death certificates for participants served by a Healthy Start program in South Carolina and community controls, we found that the Healthy Start program contributed to significant improvements in prenatal care, breastfeeding initiation, and participation in the Special Supplemental Nutrition Program for Women, Infants, and Children and significant reductions in inadequate weight gain and large-for-gestational-age births. However, Healthy Start participants were more likely to gain excessive weight during pregnancy, and there were no significant differences in perinatal outcomes. (Am J Public Health. 2023;113(5):509-513. https://doi.org/10.2105/AJPH.2023.307232).

Social Mediators of the Association Between Depression and Falls Among Older Adults.

OBJECTIVES: To investigate the role of social factors in the association between depression and falls among older adults. METHODS: The sample included data from 3443 older adults from three waves of the Health and Retirement Study (2010-2014). A Lifestyle Questionnaire was used to measure social engagement, social network contact, and neighborhood social context. Mediating effects of social factors were estimated through causal mediation analysis. Results: Poorer social engagement and network contact were associated with greater likelihood of falls, while poorer neighborhood context was associated with greater likelihood of fall injuries. Social engagement mediated a significant portion of the effect of depression on falls (OR: 1.03, 95% CI: 1.00, 1.06), and neighborhood context mediated a portion of the effect of depression on fall injuries (OR: 1.03, 95% CI: 1.00, 1.07). Discussion: The direct and indirect impacts of social factors suggest that considering them may help improve existing fall prevention approaches.

Inflammatory potential of diet and risk of mortality in normal-weight adults with central obesity.

BACKGROUND & AIMS: Inflammatory potential of diet may contribute to poor health outcomes in individuals with metabolic disorders. In a representative sample of the U.S. population, we investigated the association between consuming a pro-inflammatory diet and mortality risk in adults with normal range of body mass index (BMI) but with central obesity. METHODS: This prospective cohort study included 3521 adults 20-90 years of age with normal BMI who participated in the National Health and Nutrition Examination Survey III, 1988-1994 and did not have a history of cardiovascular disease (CVD) or cancer and did not change their dietary intake in the year preceding baseline measurements. Mortality from all causes, CVD, and cancer was ascertained from the National Death Index. Normal-weight central obesity (NWCO, n = 1777) was defined as those with BMI 18.5 to <25 kg/m2 and waist-to-hip ratio (WHR) ≥0.85 in women and ≥0.90 in men. Severe central obesity was defined as WHR ≥0.92 in women and ≥1.00 in men. The dietary inflammatory index (DII®) was computed based on baseline dietary intake using 24-h dietary recalls, and associations with mortality were estimated using multivariable Cox proportional hazards regression. RESULTS: In individuals with NWCO, DII score (i.e., more pro-inflammatory diet) was associated with increased risk of CVD mortality (HRT3 vs T1, 1.89 [95% CI, 1.01-3.53], P trend = 0.04; HR 1 SD increase 1.29 [95% CI, 1.06-1.57]). This association was stronger with more severe central obesity (HRT3 vs T1, 2.79 [95% CI, 1.10-7.03], P trend = 0.03; HR 1 SD increase 1.52 [95% CI, 1.05-2.21]). DII score was not associated with increased risk of mortality in normal-weight individuals without central obesity or with risk of cancer mortality in either group. CONCLUSION: Among individuals in the normal-weight range of BMI, a pro-inflammatory diet assessed by high DII scores was associated with increased risk of CVD mortality in those with central obesity.

Relationship of Nonsteroidal Anti-Inflammatory Drug Use During Pregnancy with Autism Spectrum Disorder and Intellectual Disability Among Offspring.

Objective: This study aimed to examine the association of nonsteroidal anti-inflammatory drug (NSAID) use by pregnant women during pregnancy with autism spectrum disorder (ASD) and intellectual disability (ID) in their children among Medicaid-insured mother-child dyads. Materials and Methods: We conducted a retrospective cohort study linking multiple datasets of South Carolina for the years between 2010 and 2017, in which the main exposure variable was NSAID use during pregnancy and outcome variables were ASD only, ID only, and ASD with ID. We conducted a multinomial logistic regression analysis, controlling for identified risk factors for ASD (mother's age, race, body-mass index, preeclampsia, and gestational diabetes). Results: NSAID use during pregnancy was found to be associated with ID only in both unadjusted and adjusted analyses. Children with mothers who had NSAID prescriptions were 26% more likely to have ID in comparison with children whose mothers did not have NSAID prescriptions (odds ratio: 1.26 [1.10-1.46]). The other risk factors identified for ASD were maternal age, race, preeclampsia, smoking, low birth weight, and obesity. For ID, the risk factors were maternal age, race, smoking, birth weight, overweight, and obesity, all of which were also associated with ASD with ID, except for overweight. Conclusions: NSAID usage during pregnancy was found to be associated with ID only and not with ASD. However, more research is needed to validate the effect of NSAIDs during pregnancy on ASD and ID among children.

Social networks, perceived social support, and HbA1c in individuals with type 2 diabetes mellitus in urban Ghana.

OBJECTIVES: Although links between social relationships and health are well established, few studies have concurrently examined the effects of compositional, structural, and functional dimensions of social networks on glycemic (HbA1c) control in low- and middle-income countries such as Ghana. In these settings where informal social relationships are critical for access to resources, evaluating the links between social network characteristics, social support, and glycemic control may provide clarity about important relationships that facilitate the well-being of individuals with type 2 diabetes mellitus (T2DM). DESIGN: In 2018, we conducted a hospital-based, cross-sectional survey of noninstitutionalized adults with T2DM in Ghana. Using data from 247 study participants, multivariable linear regression models were used to estimate associations between: 1) HbA1c and three social network characteristics (kin composition, household composition, and network density); 2) social support and the three social network characteristics; and 3) HbA1c and social support. We also examined gender differences in these associations and applied mediation techniques to determine if network characteristics operated through social support to affect HbA1c. RESULTS: Findings indicated that higher kin composition and higher household composition were each significantly associated with increased social support. Neither social support nor social network characteristics were significantly related to HbA1c, and there were no gender differences in any of these associations. CONCLUSION: Although family and household members were identified as important sources of social support for diabetes management, the ways in which they influence HbA1c control among Ghanaians require further investigation. Future studies can examine whether changes in social support over time, social support satisfaction, or other dimensions of social relationships improve T2DM outcomes in countries like Ghana.

Depressive Symptoms Partially Mediate the Association of Frailty Phenotype Symptoms and Cognition for Females but Not Males.

OBJECTIVES: We aimed to evaluate whether depressive symptoms mediated the relationship between frailty phenotype and cognitive function by sex. METHODS: Data came from the Health and Retirement Study from 2012-2016. The outcome was measured by Fried's frailty criteria, our outcome was continuous global cognition, and mediator was depressive symptoms. We used mediation analysis, stratified by sex, to estimate the direct and indirect effects of frailty symptoms on cognition mediated by depressive symptoms. RESULTS: Males had a larger total effect (ß= -0.43; 95% CI: -0.66, -0.02) for lower cognitive score for each increase in frailty symptom compared to females (ß= -0.28; 95% CI: -0.47, -0.08). A significant indirect effect from frailty phenotype to cognition was found through depressive symptoms for females but not males. CONCLUSION: These results highlight the importance of identifying individuals with frailty and depressive symptoms to monitor and provide interventions to preserve cognitive function.