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Diet is one of the modifiable risk factors for cognitive decline. However, human studies on total energy intake and cognitive function have remained limited and studies on fat intake and cognitive decline have been inconclusive. We aimed to examine prospectively the associations between long-term intakes of total energy and fat with subsequent subjective cognitive decline (SCD). A total of 49,493 women from the Nurses’ Health Study (NHS) and 27,842 men from the Health Professionals Follow-up Study (HPFS) were followed for over 20 years. Average dietary intake was calculated based on repeated food frequency questionnaires (SFFQs), and Poisson regression was used to evaluate associations. Higher total energy intake was significantly associated with greater odds of SCD in both cohorts. Comparing the highest with lowest quintiles of total energy intake, the pooled multivariable-adjusted ORs (95% CIs) for a 3-unit increment in SCD, corresponding to poor versus normal SCD, was 2.77 (2.53, 2.94). Each 500 kcal/day greater intake of total energy was associated with 48% higher odds of SCD. Intakes of both total fat and total carbohydrate appeared to contribute to the positive association with total energy intake although for the same percent of energy, the association was stronger for total fat. In conclusion, higher intakes of total energy, total fat, and total carbohydrate were adversely associated with SCD. Whether these associations are causal is unclear and deserves further investigation.

Background: Previous studies suggest a 3- to-10-fold increased risk of multiple sclerosis (MS) in offspring of mothers with diabetes mellitus (DM). Objectives: To examine MS risk in offspring of diabetic mothers, overall and according to type of maternal DM, that is, pregestational DM or gestational DM, as well as to examine MS risk among offspring of diabetic fathers. Methods: The study cohort included all 1,633,436 singletons born in Denmark between 1978 and 2008. MS diagnoses were identified in the Danish Multiple Sclerosis Registry, and parental DM diagnoses in the National Patient Register. We used Cox proportional hazards regression analyses to calculate hazard ratios (HRs) with 95% confidence intervals (CIs) for the association of parental DM with MS risk in the offspring. Results: MS risk among individuals whose mothers had pregestational DM was 2.3-fold increased compared with that among individuals with nondiabetic mothers (HR = 2.25; 95% CI: 1.35–3.75, n = 15). MS risk was statistically non-significant among offspring of mothers with gestational DM (HR = 1.03 (95% CI: 0.49–2.16), n = 7) and among offspring of diabetic fathers (HR = 1.40 (95% CI: 0.78–2.54), n = 11). Conclusion: Our nationwide cohort study utilizing high-quality register data in Denmark over several decades corroborates the view that offspring of diabetic mothers may be at an elevated risk of developing MS.

Animal experiments indicate that environmental factors, such as cigarette smoke, can have multigenerational effects through the germline. However, there are little data on multigenerational effects of smoking in humans. We examined the associations between grandmothers' smoking while pregnant and risk of attention-deficit/hyperactivity disorder (ADHD) in her grandchildren.Our study population included 53,653 Nurses' Health Study II (NHS-II) participants (generation 1 [G1]), their mothers (generation 0 [G0]), and their 120,467 live-born children (generation 2 [G2]). In secondary analyses, we used data from 23,844 mothers of the nurses who were participants in the Nurses' Mothers' Cohort Study (NMCS), a substudy of NHS-II.The prevalence of G0 smoking during the pregnancy with the G1 nurse was 25%. ADHD was diagnosed in 9,049 (7.5%) of the grandchildren (G2). Grand-maternal smoking during pregnancy was associated with increased odds of ADHD among the grandchildren (adjusted odds ratio [aOR] = 1.2; 95% confidence interval [CI] = 1.1, 1.2), independent of G1 smoking during pregnancy. In the Nurses' Mothers' Cohort Study, odds of ADHD increased with increasing cigarettes smoked per day by the grandmother (1-14 cigarettes: aOR = 1.1; 95% CI = 1.0, 1.2; 15+: aOR = 1.2; 95% CI = 1.0, 1.3), compared with nonsmoking grandmothers.Grandmother smoking during pregnancy is associated with an increased risk of ADHD among the grandchildren.

Background Although there is evidence of shared dysregulated pathways between diabetes and Parkinson's disease, epidemiologic research on an association between the two diseases has produced inconsistent results. Objective We aimed to assess whether known metabolomic markers of insulin resistance and diabetes are also associated with Parkinson's disease development. Methods We conducted a nested case-control study among Nurses' Health Study and Health Professionals Follow-up Study participants who had provided blood samples up to twenty years prior to Parkinson's diagnosis. Cases were matched to risk-set sampled controls by age, sex, fasting status, and time of blood collection. Participants provided covariate information via regularly collected cohort questionnaires. We used conditional logistic regression models to assess whether plasma levels of branched chain amino acids, acylcarnitines, glutamate, or glutamine were associated with incident development of Parkinson's disease. Results A total of 349 case-control pairs were included in this analysis. In the primary analyses, none of the metabolites of interest were associated with Parkinson's disease development. In investigations of the association between each metabolite and Parkinson's disease at different time intervals prior to diagnosis, some metabolites showed marginally significant association but, after correction for multiple testing, only C18 : 2 acylcarnitine was significantly associated with Parkinson's disease among subjects for whom blood was collected less than 60 months prior to case diagnosis. Conclusions Plasma levels of diabetes-related metabolites did not contribute to predict risk of Parkinson's disease. Further investigation of the relationship between pre-diagnostic levels of diabetes-related metabolites and Parkinson's disease in other populations is needed to confirm these findings.

Frequent maternal use of acetaminophen in pregnancy has been linked to attention-deficit/hyperactivity disorder (ADHD) in children, but concerns regarding uncontrolled confounding remain. In this article, we illustrate use of the negative control exposure (NCE) approach to evaluate uncontrolled confounding bias in observational studies on pregnancy drug safety and explain the causal assumptions behind the method. We conducted an NCE analysis and evaluated the associations between maternal acetaminophen use during different exposure periods and ADHD among 8,856 children born in 1993–2005 to women enrolled in the Nurses’ Health Study II cohort. Information on regular maternal acetaminophen use was collected prospectively in biennial questionnaires. A total of 721 children (8.1%) in the cohort had been diagnosed with ADHD as reported by the mothers. Our NCE analysis suggested that only acetaminophen use at the time of pregnancy was associated with childhood ADHD (odds ratio = 1.34, 95% confidence interval: 1.05, 1.72), and the effect estimates for the 2 NCE periods (about 4 years before and 4 years after the pregnancy) were null. Our findings corroborate those of prior reports suggesting that prenatal acetaminophen exposure may influence neurodevelopment. The lack of an association between acetaminophen use in the pre- and postpregnancy exposure periods and ADHD provides assurance that uncontrolled time-invariant factors do not explain this association.

Background: Whether animal exposure and specifically the timing of such exposure alters multiple sclerosis (MS) risk is unclear. We examined whether animal exposure was associated with MS risk, and whether risk differed by the participants age.Methods: We conducted a case-control study within the Nurses' Health Study ((NHS)/NHSII cohorts). Overall, 151 women with MS and 235 controls, matched by age and study cohort, completed an animal exposure history questionnaire. Animal exposure pre-MS onset was assessed as 'any' exposure, then by the participants age, and animal family. Conditional logistic regression was used to estimate relative MS risks, adjusted (adj.RR) for potential confounders.Results: 'Any' animal exposure was reported by 136 (90.1%) MS cases compared to 200 (85.1%) matched controls, with dog exposure being the most common [120 (79.5%) cases vs. 170 (72.3%) controls]. There was no association between 'any' animal exposure and MS risk (adj.RR:1.52;95%CI:0.76-3.04). However, both 'any' animal and specifically dog exposure at ages 10-14 years were associated with an increased MS risk (adj.RR:1.67;95%CI:1.05-2.66 and 1.76;95%CI:1.12-2.78, respectively).Conclusion: Animal exposure, and specifically dog exposure, in early adolescence was associated with an increased risk of MS. Further work is needed to confirm this finding.

Obesity is associated with a higher risk of advanced prostate cancer, but men with the same body mass index (BMI) may differ in their underlying metabolic health. Using metabolomics data from nested case-control studies in the Health Professionals Follow-Up Study, we calculated Pearson correlations between 165 circulating metabolites and three adiposity measures (BMI, waist circumference, and derived fat mass from a validated prediction equation) to identify adiposity-associated metabolites. We used Lasso to further select metabolites for prediction models of adiposity measures, which we used to calculate metabolic scores representing metabolic obesity. In an independent set of 212 advanced prostate cancer cases (T3b/T4/N1/M1 or lethal during follow-up) and 212 controls, we used logistic regression to evaluate the associations between adiposity measures and metabolic scores with risk of advanced disease. All adiposity measures were associated with higher blood levels of carnitines (Pearson r range, 0.16 to 0.18) and lower levels of glutamine (r = &minus, 0.19) and glycine (r, &minus, 0.29 to &minus, 0.20), in addition to alterations in various lipids. No adiposity measure or metabolic score was associated with risk of advanced prostate cancer (e.g., odds ratio for a 5 kg/m2 increase in BMI 0.96 (95% CI: 0.73, 1.27) and BMI metabolic score 1.18 (95% CI: 0.57, 2.48)). BMI, waist circumference, and derived fat mass were associated with a broad range of metabolic alterations. Neither adiposity nor metabolic scores were associated with risk of advanced prostate cancer.

Background: Epidemiological, laboratory and clinical studies have established an association between elevated urate and high blood pressure (BP). However, the inference of causality remains controversial. A naturally occurring antioxidant, urate may also be neuroprotective, and urate-elevating treatment with its precursor inosine is currently under clinical development as a potential disease-modifying strategy for Parkinson's disease (PD). Methods: Our study takes advantage of a recently completed phase II trial evaluating oral inosine in de novo non-disabling early PD with no major cardiovascular and nephrological conditions, and of three lines of genetically engineered mice: urate oxidase (UOx) global knockout (gKO), conditional KO (cKO), and transgenic (Tg) mice with markedly elevated, mildly elevated, and substantially reduced serum urate, respectively, to systematically investigate effects of urate-modifying manipulation on BP. Findings: Among clinical trial participants, change in serum urate but not changes in systolic, diastolic and orthostatic BP differed by treatment group. There was no positive correlation between urate elevations and changes in systolic, diastolic and orthostatic BP. Between UOx gKO, cKO, or Tg mice and their respective wild type littermates there were no significant differences in systolic or diastolic BP or in their responses to BP-regulating interventions. Interpretation: Our complementary preclinical and human studies of urate modulation in animal models and in generally healthy early PD do not support a hypertensive effect of urate elevation or an association between urate and BP. Funding: U.S. Department of Defense, RJG Foundation, Michael J. Fox Foundation LEAPS program, National Institutes of Health, American Federation for Aging Research, Parkinson's Disease Foundation Advancing Parkinson's Therapies initiative. Declaration of Interest: The authors declare no conflict of interest. Ethical Approval: The study protocol of PD patients was approved by the institutional review boards of the Administrative Coordination Center at Massachusetts General Hospital (MGH), the Clinical Coordination Center at University of Rochester and all clinical sites, and participants provided written informed consent.

Objective: To determine the association between measures of overall diet quality (dietary indices/patterns) and risk of multiple sclerosis (MS). Methods: Over 185,000 women in the Nurses’ Health Study (NHS) and Nurses’ Health Study II (NHSII) completed semiquantitative food frequency questionnaires every 4 years. There were 480 MS incident cases. Diet quality was assessed using the Alternative Healthy Eating Index-2010 (AHEI-2010), Alternate Mediterranean Diet (aMED) index, and Dietary Approaches to Stop Hypertension (DASH) index. Principal component analysis was used to determine major dietary patterns. We calculated the hazard ratio (HR) of MS with Cox multivariate models adjusted for age, latitude of residence at age 15, body mass index at age 18, supplemental vitamin D intake, and cigarette smoking. Results: None of the dietary indices, AHEI-2010, aMED, or DASH, at baseline was statistically significantly related to the risk of MS. The principal component analysis identified “Western” and “prudent” dietary patterns, neither of which was associated with MS risk (HR, top vs bottom quintile: Western, 0.81 ( p = 0.31) and prudent, 0.96 ( p = 0.94)). When the analysis was repeated using cumulative average dietary pattern scores, the results were unchanged. Conclusion: There was no evidence of an association between overall diet quality and risk of developing MS among women.

Background Prior work on appendectomy and PD has produced mixed results. In this study we examined whether history of self-reported appendectomy was related to risk of incident Parkinson's disease in the Nurses' Health Study and the Health Professionals Follow-up Study. Methods We used the Cox proportional hazards model to estimate the hazard ratio of Parkinson's disease associated with self-report of appendectomy in men and women. Among women, we estimated the hazard ratio of Parkinson's disease associated with appendectomy for appendicitis and incidental appendectomy. Results In pooled analyses, self-report of any appendectomy was not related to Parkinson's disease risk: the hazard ratio of Parkinson's disease comparing participants who reported any appendectomy with those who did not was 1.08 (95% confidence interval, 0.94-1.23). In women, appendectomy for appendicitis, but not incidental appendectomy, was associated with a modestly elevated risk of Parkinson's disease (hazard ratio, 1.23 [95% confidence interval, 1.00-1.50]). Conclusions Overall, this study suggests limited to no association between appendectomy and Parkinson's disease risk. © 2018 International Parkinson and Movement Disorder Society.

Children whose mothers experienced childhood abuse are more likely to suffer various neurodevelopmental deficits. Whether an association exists specifically for attention deficit hyperactivity disorder (ADHD) is unknown. We examined the association of maternal experience of childhood abuse with ADHD in offspring, assessed by maternal report of diagnosis and validated with the ADHD Rating Scale-IV in a subsample, in the Nurses’ Health Study II (n = 49,497 mothers; n = 7,607 case offspring; n = 102,151 control offspring). We examined whether 10 adverse perinatal circumstances (e.g., prematurity, smoking) or socioeconomic factors accounted for a possible association. Exposure to abuse was associated with greater prevalence of ADHD in offspring (8.7% of offspring of women exposed to severe abuse vs. 5.5% of offspring of women not abused, P = 0.0001) and with greater risk for ADHD when the model was adjusted for demographic factors (male offspring, risk ratio (RR) = 1.6, 95% confidence interval (CI): 1.3, 1.9; female offspring, RR = 2.3, 95% CI: 1.7, 3.0). After adjustment for perinatal factors, the association of maternal childhood abuse with ADHD in offspring was slightly attenuated (male offspring, RR = 1.5, 95% CI: 1.2, 1.8; female offspring, RR = 2.1, 95% CI: 1.6, 2.8). We identified an association between maternal experience of childhood abuse and risk for ADHD in offspring, which was not explained by several important perinatal risk factors or socioeconomic status.

Background: Air pollution is thought to raise the risk of neurological disease by promoting neuroinflammation, oxidative stress, glial activation and cerebrovascular damage. Multiple Sclerosis is a common auto-immune disorder, primarily affecting young women. We conducted, to a large prospective study of particulate matter (PM) exposure and multiple sclerosis (MS) risk in two prospective cohorts of women: the Nurses Health Study (NHS) and the Nurses Health Study II (NHS II). Methods: Cumulative average exposure to different size fractions of PM up to the onset of MS was estimated using spatio-temporal models. We used multivariable Cox proportional hazards models to estimate the hazard ratios (HR) and 95% confidence intervals (CI) of MS associated with each size fraction of PM independently. Participants were followed from 1998 through 2004 in NHS and from 1988 through 2007 for NHS II. We conducted additional sensitivity analyses stratified by smoking, region of the US, and age, as well as analyses restricted to women who did not move during the study. Analyses were adjusted for age, ancestry, smoking, body mass index at age 18, region, tract level population density, latitude at age 15, and UV index. Results: We did not observe significant associations between air pollution and MS risk in our cohorts. Among women in the NHS II, the HRs comparing the top vs. bottom quintiles of PM was 1.11 (95% Confidence Intervals (CI): 0.74, 1.66), 1.04 (95% CI: 0.73, 1.50) and 1.09 (95% CI: 0.73, 1.62) for PM10 (≤10μm in diameter), PM2.5 (≤2.5μm in diameter), and PM2.5–10 (2.5 to 10μm in diameter) respectively, and tests for linear trends were not statistically significant. No association between exposure to PM and risk of MS was observed in the NHS. Conclusions: In this study, exposure to PM air pollution was not related to MS risk. Keywords: Epidemiology, Cohort studies, Incidence studies, Parkinson disease

Benefits of a Mediterranean diet for cognition have been suggested, but epidemiologic studies have been relatively small and of limited duration. To prospectively assess the association between long-term adherence to a Mediterranean dietary pattern and self-reported subjective cognitive function (SCF). Prospective observational study. The Health Professionals’ Follow-up Study, a prospective cohort of 51,529 men, 40–75 years of age when enrolled in 1986, of whom 27,842 were included in the primary analysis. Mediterranean diet (MD) score, computed from the mean of five food frequency questionnaires, assessed every 4 years from 1986 to 2002. Self-reported SCF assessed by a 6-item questionnaire in 2008 and 2012, and validated by association with genetic variants in apolipoprotein-4. Using the average of 2008 and 2012 SCF scores, 38.0% of men were considered to have moderate memory scores and 7.3% were considered to have poor scores. In a multivariate model, compared with men having a MD score in the lowest quintile, those in the highest quintile had a 36% lower odds of a poor SCF score (odds ratio 0.64, 95% CI 0.55–0.75; P, trend

Background Fifteen regional studies published over the last six decades surveying prevalence, mortality and hospital admissions have suggested that Scotland is amongst the highest risk nations for multiple sclerosis (MS) in the world. However, substantial intranational variation in rates (between regions) has been described in numerous countries, including in the only previous Scottish national survey, which used hospital admission data, to address this issue. Against this backdrop, the Scottish Multiple Sclerosis Register (SMSR) was established in 2010 to prospectively collect nationally comprehensive incidence data and to allow for regional comparisons. Methods Here, we present the SMSR and analyse the variation in crude and age–sex standardized incidence rates, lifetime risk (cumulative incidence), and the sex distribution of cases and rates, between the 14 administrative Health Boards or regions of Scotland: 01 January 2010 to 31 December 2017. Results The overall incidence rate for Scotland was 8.76/100,000 person-years (standardized: 8.54). Regional incidence rates varied significantly—up to threefold—between Health Boards (p

Objective: To prospectively investigate potential signs of pre-clinical multiple sclerosis (MS) activity and when they are present prior to first symptom using data from a historical cohort. Methods: We linked the cognitive performance of all Norwegian men born in 1950-95 that underwent conscription examination at ages 18-19 to the Norwegian MS registry to identify those later developing MS, and randomly selected controls frequency-matched on year of birth from the Norwegian Conscript Service database. In this nested case-control study cognitive test-scores were available for 924/19530 male cases/controls. We estimated mean score differences among cases and controls (Student's t-test) and the risk of developing MS comparing lower to higher scores (Cox regression) in strata of years to clinical onset. Results: Men developing first clinical MS symptoms up to 2 years after the examination scored significantly lower than controls (Δ=0.80, p=0.0095), corresponding to a 6 intelligence quotient (IQ)-points difference. Those scoring lowest, i.e. over 1 standard deviation below the controls' mean, had an increased MS risk during the two following years (relative risk=2.81, 95% confidence interval: 1.52-5.20). While results were similar for relapsing-remitting MS cases (RRMS), those developing primary-progressive MS (PPMS) scored 4.6-6.9 IQ-points significantly lower than controls up to 20 years prior to first progressive symptoms. Interpretation: RRMS may start years prior to clinical presentation and disease processes in PPMS could start decades prior to first apparent progressive symptoms. Cognitive problems could be present in both MS forms before apparent symptoms. Apart from potential implications for clinical practice and research, these findings challenge our thinking about the disease. This article is protected by copyright. All rights reserved.

Objectives. To review the contribution of the Nurses’ Health Study (NHS) to identifying the role of lifestyle, diet, and genetic or biological factors in several neurodegenerative diseases, including cognitive decline, multiple sclerosis, Parkinson’s disease, and amyotrophic lateral sclerosis. Methods. We completed a narrative review of the publications of the NHS and NHS II between 1976 and 2016. Results. In primary findings for cognitive function, higher intake of nuts, moderate alcohol consumption, and higher physical activity levels were associated with better cognitive function. Flavonoids, physical activity, and postmenopausal hormone therapy were related to cognitive decline over 2 to 6 years. The NHS also has been integral in establishing Epstein-Barr virus infection, inadequate vitamin D nutrition, cigarette smoking, and obesity as risk factors for multiple sclerosis and inverse associations between cigarette smoking and caffeine and risk of Parkinson’s disease. Increased risk of amyotrophic lateral sclerosis has been associated with cigarette smoking and decreased risk associated with obesity. Conclusions. The NHS has provided invaluable resources on neurodegenerative diseases and contributed to their etiological understanding. We anticipate that the NHS cohorts will continue to make important contributions to the field of neurodegenerative diseases.

OBJECTIVE: To prospectively examine for the first time the association between plasma urate levels measured in healthy participants and future ALS risk. METHODS: A pooled case-control study nested in five US prospective cohorts comprising 319,617 participants who provided blood, of which 275 had ALS during follow-up. Pre-diagnostic plasma urate was determined for all participants using a clinical colorimetric enzyme assay. Gender-specific multivariable-adjusted risk ratios (RR) of ALS incidence or death estimated by Cox proportional hazards regression and pooled using inverse-variance weighting. RESULTS: In age- and matching factor-adjusted analyses, a 1 mg/dL increase in urate concentration was associated with RR=0.88 (95% CI: [0.78,0.997] p=0.044). After adjustment for BMI, a strong predictor of ALS and urate levels, and other potential covariates, the RR=0.89 (95% CI: [0.78, 1.02]; p=0.08 for 1mg/dL increase in urate). CONCLUSION: Elevation of plasma urate was modestly inversely associated with the risk of ALS and warrants further study for a potential role in this disease.

Although strong genetic determinants of multiple sclerosis (MS) exist, the findings of migration studies support a role for environmental factors in this disease. Through rigorous epidemiological investigation, Epstein-Barr virus infection, vitamin D nutrition and cigarette smoking have been identified as likely causal factors in MS. In this Review, the strength of this evidence is discussed, as well as the potential biological mechanisms underlying the associations between MS and environmental, lifestyle and dietary factors. Both vitamin D nutrition and cigarette smoking are modifiable; as such, increasing vitamin D levels and smoking avoidance have the potential to substantially reduce MS risk and influence disease progression. Improving our understanding of the environmental factors involved in MS will lead to new and more-effective approaches to prevent this disease.

Low subjective cognitive function (SCF), which is associated with APOE4 genotype, adversely impacts quality of life and has predicted clinical dementia. We examined whether physical activity during early adulthood or mid-to-late life is associated with late-life SCF. We followed 28,481 US male health professionals aged 40–75 years who reported their physical activity in 1986 and biennially thereafter. SCF was reported in 2008 and 2012. The SCF score was averaged for the 2008 and 2012 assessments and categorized as “good”, “moderate”, and “poor”. Men in the highest versus lowest quintile of mid-to-late life physical activity in 1986 had 38% lower odds of poor versus good SCF score (multivariable-adjusted odds ratio (OR) 0.62; 95% CI 0.53, 0.72; P for trend

Amyotrophic lateral sclerosis (ALS) is a fast-progressing neurodegenerative disease with a median survival time from diagnosis of 1.5–3 years. The cause of ALS is unknown, but inflammation may play a role. Fiber has been shown to lower inflammatory markers, and a high fiber intake was associated with a lower risk of ALS in a case-control study; however, prospective studies are lacking. We explored the relation between dietary intake of fiber and the risk of ALS in 5 large prospective cohort studies comprising over 1,050,000 US citizens who contributed 1,133 ALS cases during a mean of 15 years of follow-up (1980–2008). Cox proportional hazards models were used within each cohort, and cohort-specific estimates were subsequently pooled using a random-effects model. We found that intakes of total fiber, cereal fiber, vegetable fiber, and fruit fiber were not associated with ALS risk when comparing the highest quintile of intake with the lowest (for total fiber, pooled multivariable relative risk (RR) = 0.99, 95% confidence interval (CI): 0.80, 1.24; for cereal fiber, RR = 1.13, 95% CI: 0.94, 1.37; for vegetable fiber, RR = 0.97, 95% CI: 0.77, 1.23; and for fruit fiber, RR = 1.05, 95% CI: 0.86, 1.29). These findings do not support the hypothesis that fiber intake is a major determinant of ALS risk.

Intake of n-3 and n-6 polyunsaturated fatty acids (PUFAs) has been implicated in the pathogenesis of depression. We sought to estimate the association between intake of fish and n-3 and n-6 PUFAs and suicide mortality over the course of long-term follow-up. In this prospective cohort study, biennial questionnaires were administered to 42,290 men enrolled in the Health Professionals Follow-up Study (1988–2008), 72,231 women enrolled in the Nurses' Health Study (1986–2008), and 90,836 women enrolled in Nurses' Health Study II (1993–2007). Dietary fish and n-3 and n-6 PUFA intakes were assessed every 4 years using a validated food-frequency questionnaire. Suicide mortality was ascertained through blind physician review of death certificates and hospital or pathology reports. Adjusted relative risks of suicide mortality were estimated with multivariable Cox proportional hazards models and pooled across cohorts using random-effects meta-analysis. The pooled multivariable relative risks for suicide among persons in the highest quartile of intake of n-3 or n-6 PUFAs, relative to the lowest quartile, ranged from 1.08 to 1.46 for n-3 PUFAs (Ptrend = 0.11–0.52) and from 0.68 to 1.19 for n-6 PUFAs (Ptrend = 0.09–0.54). We did not find evidence that intake of n-3 PUFAs or fish lowered the risk of completed suicide.

Objective: Air pollution contains many toxicants known to affect neurological function and to have effects on the fetus in utero. Recent studies have reported associations between perinatal exposure to air pollutants and autism spectrum disorder (ASD) in children. We tested the hypothesis that perinatal exposure to air pollutants is associated with ASD, focusing on pollutants associated with ASD in prior studies. Methods: We estimated associations between U.S. Environmental Protection Agency–modeled levels of hazardous air pollutants at the time and place of birth and ASD in the children of participants in the Nurses’ Health Study II (325 cases, 22,101 controls). Our analyses focused on pollutants associated with ASD in prior research. We accounted for possible confounding and ascertainment bias by adjusting for family-level socioeconomic status (maternal grandparents’ education) and census tract–level socioeconomic measures (e.g., tract median income and percent college educated), as well as maternal age at birth and year of birth. We also examined possible differences in the relationship between ASD and pollutant exposures by child’s sex. Results: Perinatal exposures to the highest versus lowest quintile of diesel, lead, manganese, mercury, methylene chloride, and an overall measure of metals were significantly associated with ASD, with odds ratios ranging from 1.5 (for overall metals measure) to 2.0 (for diesel and mercury). In addition, linear trends were positive and statistically significant for these exposures (p < .05 for each). For most pollutants, associations were stronger for boys (279 cases) than for girls (46 cases) and significantly different according to sex. Conclusions: Perinatal exposure to air pollutants may increase risk for ASD. Additionally, future studies should consider sex-specific biological pathways connecting perinatal exposure to pollutants with ASD.

Our goal in this study was to determine whether maternal fat intake before or during pregnancy was associated with risk of autism spectrum disorder (ASD) in the offspring. Our primary analysis included 317 mothers who reported a child with ASD and 17,728 comparison mothers from the Nurses' Health Study II (index births in 1991–2007). Dietary information was collected prospectively through a validated food frequency questionnaire. Binomial regression was used to estimate crude and adjusted risk ratios. Maternal intake of linoleic acid was significantly inversely associated with ASD risk in offspring, corresponding to a 34% reduction in risk in the highest versus lowest quartiles of intake. Mothers in the lowest 5% of ω-3 fatty acid intake had a significant increase in offspring ASD risk as compared with the remaining distribution (risk ratio = 1.53, 95% confidence interval: 1.00, 2.32); this association was also seen in the subgroup of women (86 cases and 5,798 noncases) for whom dietary information during pregnancy was available (risk ratio = 2.42, 95% confidence interval: 1.19, 4.91). Thus, variations in intake of polyunsaturated fats within the range commonly observed among US women could affect fetal brain development and ASD risk. Because the number of women with diet assessed during pregnancy was small, however, these results should be interpreted cautiously.

Background Observational studies have reported an association between obesity, as measured by elevated body mass index (BMI), in early adulthood and risk of multiple sclerosis (MS). However, bias potentially introduced by confounding and reverse causation may have influenced these findings. Therefore, we elected to perform Mendelian randomization (MR) analyses to evaluate whether genetically increased BMI is associated with an increased risk of MS. Methods and Findings Employing a two-sample MR approach, we used summary statistics from the Genetic Investigation of Anthropometric Traits (GIANT) consortium and the International MS Genetics Consortium (IMSGC), the largest genome-wide association studies for BMI and MS, respectively (GIANT: n = 322,105; IMSGC: n = 14,498 cases and 24,091 controls). Seventy single nucleotide polymorphisms (SNPs) were genome-wide significant (p < 5 x 10−8) for BMI in GIANT (n = 322,105) and were investigated for their association with MS risk in the IMSGC. The effect of each SNP on MS was weighted by its effect on BMI, and estimates were pooled to provide a summary measure for the effect of increased BMI upon risk of MS. Our results suggest that increased BMI influences MS susceptibility, where a 1 standard deviation increase in genetically determined BMI (kg/m2) increased odds of MS by 41% (odds ratio [OR]: 1.41, 95% CI 1.20–1.66, p = 2.7 x 10−5, I2 = 0%, 95% CI 0–29). Sensitivity analyses, including MR-Egger regression, and the weighted median approach provided no evidence of pleiotropic effects. The main study limitations are that, while these sensitivity analyses reduce the possibility that pleiotropy influenced our results, residual pleiotropy is difficult to exclude entirely. Conclusion Genetically elevated BMI is associated with risk of MS, providing evidence for a causal role for obesity in MS etiology. While obesity has been associated with many late-life outcomes, these findings suggest an important consequence of childhood and/or early adulthood obesity., Using a Mendelian randomization approach, Brent Richards and colleagues examine the possibility that genetically raised body mass index could affect risk of multiple sclerosis., Author Summary Why Was This Study Done? Multiple sclerosis (MS) is a debilitating disease that carries a large social and economic burden. The risk factors that cause MS remain poorly understood. Previous observational epidemiological studies have reported an association between elevated body mass index (BMI) in early adulthood and risk of MS; however, lifestyle factors that influence BMI may bias the relationship between BMI and MS. What Did the Researchers Do and Find? The researchers tested whether inherited genetic variation that influences BMI is associated with MS. Such analyses provide an estimate of the relationship between BMI and MS that is not influenced by confounding factors, with the exception of confounding by ancestry; since assignment to genotype at conception is a random process, it breaks associations with other potential confounding factors. Using data from the largest genome-wide association study consortia for MS and BMI, the researchers provided evidence supporting elevated BMI as a causal risk factor for MS. A genetically determined change in the BMI category from overweight to obese was associated with a substantially increased risk of MS in this study. What Do These Findings Mean? Elevated BMI could be an important, and potentially modifiable, risk factor for MS. This provides further rationale to address rising obesity rates and to investigate whether interventions that promote a healthy lifestyle may help to mitigate MS risk.

Although genetic susceptibility explains the clustering of multiple sclerosis (MS) within families and the sharp decline in risk with increasing genetic distance, it cannot fully explain the geographical variations in MS frequency and the changes in risk that occur with migration, which support the action of strong environmental factors. Among these, vitamin D status, obesity in early life, infection with the Epstein-Barr virus, and cigarette smoking are the most consistent environmental predictors of MS risk. The authors review the epidemiological data, critically discuss the evidence for causality of these and other associations, and briefly review the possibility of interventions to reduce MS risk.