Vitamin D and Sunlight Exposure in Newly-Diagnosed Parkinson’s Disease

Circulating vitamin D has previously been found to be lower in patients with Parkinson’s disease (PD), while the effects of sunlight exposure have not yet been fully investigated. Therefore, we evaluated the associations between serum vitamin D, vitamin D intake, sunlight exposure, and newly-diagnosed PD patients in a Chinese population. This case-control study measured serum 25-hydroxyvitamin D (25(OH)D) levels and sunlight exposure in 201 patients with newly-diagnosed PD and 199 controls without neurodegenerative diseases. Data on vitamin D intake and sunlight exposure were obtained using a self-report questionnaire. Multivariable logistic regressions were employed to evaluate the associations between serum 25(OH)D levels, sunlight exposure, and PD. Adjustments were made for sex, age, smoking, alcohol use, education, BMI, and vitamin D intake. There were significantly lower levels of serum 25(OH)D (20.6 ± 6.5 ng/mL), daily vitamin D intake (8.3 ± 3.7 g/day), and sunlight exposure (9.7 ± 4.1 h/week) in patients with PD compared to healthy controls (p < 0.05). Crude odds ratios (ORs) for PD in the quartiles of serum 25(OH)D were 1 (reference), 0.710 (0.401, 1.257), 0.631 (0.348, 1.209), and 0.483 (0.267, 0.874), respectively. Crude ORs for PD in quartiles of sunlight exposure were 1 (reference), 0.809 (0.454, 1.443), 0.623 (0.345, 1.124) and 0.533 (0.294, 0.966), respectively. A significant positive correlation between serum 25(OH)D and sunlight exposure was found, but serum 25(OH)D was not correlated with daily vitamin D intake. This study indicates that lower levels of serum 25(OH)D and sunlight exposure are significantly associated with an increased risk for PD.     

Effects of Disease Misclassification on Exposure–Disease Association

Objectives. We explore how misclassification in disease status can distort the exposure–disease association in a study with dichotomous disease and exposure status.Methods. We define the difference in population odds ratios between populations with and without disease misclassification as population-level bias and derive the bias as a function of sensitivity and specificity for observed disease status. The magnitude and direction of bias can be elucidated through analytic derivations, as illustrated with numerical examples.Results. Patterns of bias exist not only for nondifferential misclassification but also for some differential misclassification scenarios. We have provided conditions defined in terms of sensitivity and specificity that correspond to each pattern of bias.Conclusions. Caution is needed in interpreting results when misclassification is present. Our findings can be used to assess the effects of disease misclassification in a population when sensitivity and specificity are known or can be estimated.In epidemiological and clinical studies, we are often interested in the association between a dichotomous exposure and a dichotomous health outcome such as disease status. However, misclassification is often present in these measures when the gold standard assessment is too expensive to apply and a more affordable but less accurate assessment is used instead. For example, misclassification for disease status is likely to occur when psychiatric disorder status is assessed through self-reported surveys instead of in-person clinical diagnosis. Likewise, misclassification for exposure status is likely to occur when individual exposure to air pollution is assessed by measurements recorded at neighborhood monitoring stations rather than by personal monitoring devices.Misclassification can alter the odds ratio (OR) that measures the exposure–disease association in a population. This difference can sometimes present significant problems in drawing conclusions about the nature and strength of the exposure–disease association, because the direction of the deviation is unclear and the magnitude of the deviation can be large. Here we focus on the impact of disease misclassification on the exposure–disease relationship when the exposure category is correctly classified.Two types of disease misclassification can arise in an exposure–disease association study: nondifferential and differential. Nondifferential misclassification occurs when neither sensitivity nor specificity for disease classification varies by exposure category. By contrast, differential misclassification occurs when misclassification of disease status varies by exposure category.1,2 It is usually believed that nondifferential misclassification in either exposure or disease status results in an estimate that has the same sign as the true association but reduced magnitude, unless the misclassification is so severe that the estimate might switch over to the opposite side of the null.3–9 However, differential misclassification can have effects with indeterminate direction,6 away from the null, toward the null, or even switched to the opposite side of the null. It is unclear what conditions cause specific deviations. Chyou studied patterns of effects in the OR estimation attributable to differential misclassification by case–control status in a case–control study, with limited numerical examples.10 However, conclusions based on limited numerical examples may be sensitive to the conditions chosen for the study. Thus it is desirable to use analytic derivation to examine the pattern of misclassification effects in the exposure–disease association, especially when differential misclassification occurs.Here we focus on the difference in population parameters (here the OR) between populations with and without disease misclassification, referred to as population-level bias. This population-level bias is different from the bias of an estimator, which represents the difference between an estimator’s expectation and the true value of the parameter being estimated. For sample-based estimation, the parameters estimated are consistent asymptotically for the corresponding population parameters; thus the patterns of bias for the sample estimators are the same asymptotically as the patterns for the population parameters. We focus on population parameters without estimation error and refer to population-level bias simply as bias.     

Association of Parkinson’s disease with industry sectors: a French nationwide incidence study

In order to identify working environments at risk for Parkinson’s disease (PD), we investigated the relation between the importance of industry sectors, used as a surrogate for occupational exposures, and PD incidence in French cantons. The number of incident PD cases (2010–2014) in 3689 cantons of metropolitan France was determined using drug claims from French National Health Insurance databases. The proportions of workers in 38 industry sectors in 2006 were calculated for each canton. Associations between the proportions of workers in industry sectors and PD age/sex-standardized incidence ratios were examined using incidence rate ratios (IRR) and 95% confidence intervals (CI) estimated with multilevel negative binomial regressions with a random intercept at the canton-level and adjusted for smoking, deprivation index, and density of neurologists. We then used two-step semi-Bayes hierarchical regression (HR) to include prior information about exposure to pesticides, metals, and solvents in each industry sector. We identified 112,625 incident cases. PD incidence was higher in areas characterized by high proportions of workers in “Agriculture, forestry and fishing” (IRR_HR?=?1.042; CI 95%?=?1.014–1.070; p-Trend_HR?=?0.004), “Manufacture of textiles, wearing apparel, leather and related products” (IRR_HR?=?1.024; CI 95%?=?1.005–1.044; p-Trend_HR?=?0.010), and “Manufacture of basic metals and fabricated metal products, except machinery and equipment” (IRR_HR?=?1.024; CI 95%?=?1.003–1.046; p-Trend_HR?=?0.071). This nationwide study, based on a comprehensive analysis of industry sectors, shows significant associations between high proportions of workers in specific industry sectors (agriculture, metallurgy, textile) and PD incidence that may be targeted in further epidemiological studies to replicate and better understand these associations.     

Lead Content and Exposure from Children’s and Adult’s Jewelry Products

No abstract available.     

Cumulative Lead Exposure and Age at Menopause in the Nurses’ Health Study Cohort

Background: Early menopause has been associated with many adverse health outcomes, including increased risk of cardiovascular disease morbidity and mortality. Lead has been found to be adversely associated with female reproductive function, but whether exposures experienced by the general population are associated with altered age at menopause has not been explored.Objective: Our goal was to assess the association between cumulative lead exposure and age at natural menopause.Methods: Self-reported menopausal status and bone lead concentration measured with K-shell X-ray fluorescence—a biomarker of cumulative lead exposure—were obtained from 434 women participants in the Nurses’ Health Study.Results: The mean (± SD) age at natural menopause was 50.8 ± 3.6 years. Higher tibia lead level was associated with younger age at menopause. In adjusted analyses, the average age of menopause for women in the highest tertile of tibia lead was 1.21 years younger (95% CI: –2.08, –0.35) than for women in the lowest tertile (p-trend = 0.006). Although the number of cases was small (n = 23), the odds ratio for early menopause (< 45 years of age) was 5.30 (95% CI: 1.42, 19.78) for women in the highest tertile of tibia lead compared with those in the lowest tertile (p-trend = 0.006). There was no association between patella or blood lead and age at menopause.Conclusions: Our results support an association between low-level cumulative lead exposure and an earlier age at menopause. These data suggest that low-level lead exposure may contribute to menopause-related health outcomes in older women through effects on age at menopause.Citation: Eum KD, Weisskopf MG, Nie LH, Hu H, Korrick SA. 2014. Cumulative lead exposure and age at menopause in the Nurses’ Health Study Cohort. Environ Health Perspect 122:229–234; http://dx.doi.org/10.1289/ehp.1206399     

Multiple Antioxidants in the Prevention and Treatment of Parkinson’s Disease

Parkinson’s disease (PD) is one of the major progressive neurological disorders for which no preventative or long-term effective treatment strategies are available. Epidemiologic studies have failed to identify specific environmental, dietary or lifestyle risk factors for PD except for toxic exposure to manganese, meperidine (Demerol®, the “designer drug” version of which often contains a toxic byproduct of the synthesis, 1-methyl-4-phenyl 1,2,3,6 tetrahydropyridine [MPTP]), and some herbicides and pesticides. The search for genetic risk factors such as mutation, overexpression or underexpression of nuclear genes in DA neurons in idiopathic PD has not been successful as yet. Polymorphism in certain genes appears to be a risk factor, but there is no direct evidence for the causal relationship between polymorphism and increased risk of PD. In familial PD, mutation in the α-synuclein gene is associated with the disease, but a direct role of this gene in degeneration of DA neurons remains to be established. Although mutations in the Parkin gene has been associated with autosomal recessive juvenile Parkinson’s disease, the role of this gene mutation in causing degeneration of DA neurons has not been defined. We have reported that in hereditary PD, a mutation in the α-synuclein gene may increase the sensitivity of DA neurons to neurotoxins. We hypothesize that, in idiopathic PD, epigenetic (mitochondria, membranes, protein modifications) rather than genetic events are primary targets which, when impaired, initiate degeneration in DA neurons, eventually leading to cell death. Although the nature of neurotoxins that cause degeneration in DA neurons in PD is not well understood, oxidative stress is one of the intermediary risk factors that could initiate and/or promote degeneration of DA neurons. Therefore, supplementation with antioxidants may prevent or reduce the rate of progression of this disease. Supplementation with multiple antioxidants at appropriate doses is essential because various types of free radicals are produced, antioxidants vary in their ability to quench different free radicals and cellular environments vary with respect to their lipid and aqueous phases. L-dihydroxyphenylalanine (L-dopa) is one of the agents used in the treatment of PD. Since L-dopa is known to produce free radicals during its normal metabolism, the combination of L-dopa with high levels of multiple antioxidants may improve the efficacy of L-dopa therapy.     

Associations between B Vitamins and Parkinson’s Disease

B vitamins may correlate with Parkinson’s disease (PD) through regulating homocysteine level. However, there is no comprehensive assessment on the associations between PD and B vitamins. The present study was designed to perform a meta-analytic assessment of the associations between folate, vitamin B6, and vitamin B12 and PD, including the status of B vitamins in PD patients compared with controls, and associations of dietary intakes of B vitamins and risk of PD. A literature search using Medline database obtained 10 eligible studies included in the meta-analyses. Stata 12.0 statistical software was used to perform the meta-analysis. Pooled data revealed that there was no obvious difference in folate level between PD patients and healthy controls, and PD patients had lower level of vitamin B12 than controls. Available data suggested that higher dietary intake of vitamin B6 was associated with a decreased risk of PD (odds ratio (OR) = 0.65, 95% confidence intervals (CI) = (0.30, 1.01)), while no significant association was observed for dietary intake of folate and vitamin B12 and risk of PD. PD patients had lower level of vitamin B12 and similar level of folate compared with controls. Dietary intake of vitamin B6 exhibited preventive effect of developing PD based on the available data. As the number of included studies is limited, more studies are needed to confirm the findings and elucidate the underpinning underlying these associations.     

Environmental Exposure,Obesity, and Parkinson’s Disease: Lessons from Fat and Old Worms

Background

A common link has been exposed, namely, that metal exposure plays a role in obesity and in Parkinson’s disease (PD). This link may help to elucidate mechanisms of neurotoxicity.

Objective

We reviewed the utility of the nematode, Caenorhabditis elegans, as a model organism to study neurodegeneration in obesity and Parkinson’s disease (PD), with an emphasis on the neurotransmitter, dopamine (DA).

Data sources

A PubMed literature search was performed using the terms “obesity” and any of the following: “C. elegans,” “central nervous system,” “neurodegeneration,” “heavy metals,” “dopamine” or “Parkinson’s disease.” We reviewed the identified studies, including others cited therein, to summarize the current evidence of neurodegeneration in obesity and PD, with an emphasis on studies carried out in C. elegans and environmental toxins in the etiology of both diseases.

Data extraction and data synthesis

Heavy metals and DA have both been linked to diet-induced obesity, which has led to the notion that the mechanism of environmentally induced neurodegeneration in PD may also apply to obesity. C. elegans has been instrumental in expanding our mechanism-based knowledge of PD, and this species is emerging as a good model of obesity. With well-established toxicity and neurogenetic assays, it is now feasible to explore the putative link between metal-and chemical-induced neurodegeneration.

Conclusions

One side effect of an aging population is an increase in the prevalence of obesity, metabolic disorders, and neurodegenerative orders, diseases that are likely to co-occur. Environmental toxins, especially heavy metals, may prove to be a previously neglected part of the puzzle.     

Systematic Review of the Prevalence and Incidence of Parkinson’s Disease in Asia

Background

Parkinson’s disease (PD) is a common neurodegenerative disorder in older people, and half of the world’s older population lives in Asia. However, the epidemiology of PD in Asian countries is poorly understood. This review assembles evidence on the prevalence and incidence of PD in Asian countries and identifies gaps in our present knowledge.

Methods

A systematic search of studies published from 1965 to October 2008 was conducted using MEDLINE and EMBASE. The selection criteria were defined a priori. Prevalence and incidence were standardized to the WHO World Standard Population 2000. Twenty-one original studies were selected for the review. Two studies that described the ethnic origin of participants and contained Asian populations were also included in the analysis.

Results

Excluding one study with questionably low prevalence and incidence, the remaining studies reported a standardized all-age prevalence of 51.3 to 176.9 per 100 000 in door-to-door surveys; prevalence in record-based studies ranged from 35.8 to 68.3 per 100 000. The standardized incidence rates were 8.7 per 100 000 person-years in door-to-door surveys and 6.7 to 8.3 per 100 000 person-years in record-based surveys.

Conclusions

The prevalence of PD in Asian countries was slightly lower than that in Western countries. However, comparison of incidence was difficult because of the small number of studies. Varying methodologies, diagnostic criteria, and case-finding strategies contributed to the considerable variation in the reported prevalence and incidence of PD.Key words: epidemiology, prevalence, incidence, Parkinson’s disease, Asia     

Occupational Lead Exposure and Associations with Selected Cancers: The Shanghai Men’s and Women’s Health Study Cohorts

Background

Epidemiologic studies of occupational lead exposure have suggested increased risks of cancers of the stomach, lung, kidney, brain, and meninges; however, the totality of the evidence is inconsistent.

Objective

We investigated the relationship between occupational lead exposure and cancer incidence at the five abovementioned sites in two prospective cohorts in Shanghai, China.

Methods

Annual job/industry-specific estimates of lead fume and lead dust exposure, derived from a statistical model combining expert lead intensity ratings with inspection measurements, were applied to the lifetime work histories of participants from the Shanghai Women’s Health Study (SWHS; n = 73,363) and the Shanghai Men’s Health Study (SMHS; n = 61,379) to estimate cumulative exposure to lead fume and lead dust. These metrics were then combined into an overall occupational lead exposure variable. Cohort-specific relative hazard rate ratios (RRs) and 95% confidence intervals (CIs) comparing exposed and unexposed participants were estimated using Cox proportional hazards regression and combined by meta-analysis.

Results

The proportions of SWHS and SMHS participants with estimated occupational lead exposure were 8.9% and 6.9%, respectively. Lead exposure was positively associated with meningioma risk in women only (n = 38 unexposed and 9 exposed cases; RR = 2.4; 95% CI: 1.1, 5.0), particularly with above-median cumulative exposure (RR = 3.1; 95% CI: 1.3, 7.4). However, all 12 meningioma cases among men were classified as unexposed to lead. We also observed non-significant associations with lead exposure for cancers of the kidney (n = 157 unexposed and 17 ever exposed cases; RR = 1.4; 95% CI: 0.9, 2.3) and brain (n = 67 unexposed and 10 ever exposed cases; RR = 1.8; 95% CI: 0.7, 4.8) overall.

Conclusions

Our findings, though limited by small numbers of cases, suggest that lead is associated with the risk of several cancers in women and men.

Citation

Liao LM, Friesen MC, Xiang YB, Cai H, Koh DH, Ji BT, Yang G, Li HL, Locke SJ, Rothman N, Zheng W, Gao YT, Shu XO, Purdue MP. 2016. Occupational lead exposure and associations with selected cancers: the Shanghai Men’s and Women’s Health Study cohorts. Environ Health Perspect 124:97–103; http://dx.doi.org/10.1289/ehp.1408171     

Quality of life in Serbian patients with Parkinson’s disease

Background  The Parkinson’s Disease Questionnaire (PDQ-39) is a well-validated British scale for the assessment of health-related quality of life (QoL) in Parkinson’s disease (PD). Objective  To validate the Serbian version of the PDQ-39, while also providing additional information on the characteristics of this instrument. Patient and methods  A total of 102 Serbian PD patients were asked to complete the PDQ-39, a disease-specific QoL questionnaire, as well as the generic, health status questionnaire (SF-36-version 1), and the 21-item Beck Depression Inventory. Neurological examination included the Hoehn and Yahr staging, Unified Parkinson’s disease rating scale (UPDRS)-part III, Schwab and England scale, and the Mini-Mental State Examination. Results  Internal consistency analysis yielded a Cronbach’s α of 0.83. Cronbach’s α was above 0.70 for seven out of eight subscales (range from 0.73 to 0.91). A hierarchical structure of the PDQ-39 was revealed, with one global higher-order factor and two lower-order factors. The strongest predictor of the QoL in PD was the presence of depression, while motor disability (UPDRS-part III score) additionally contributed to poor QoL. Cognitive impairment has not been correlated with poor QoL. Also, QoL measures were not different between young- (≤50 years) and older-onset PD patients. Conclusions  The PDQ-39 is a reliable and valid instrument for the assessment of QoL in Serbian PD patients.     

The Association of Women’s Empowerment with Stillbirths in Nepal

Introduction

Globally, 2.6 million stillbirths occur each year. Empowering women can improve their overall reproductive health and help reduce stillbirths. Women empowerment has been defined as women’s ability to make choices in economic decision-making, household and health care decision-making. In this paper, we aimed to evaluate if women’s empowerment is associated with stillbirths.

Methods

Data from 2016 Nepal Demographic Health Surveys (NDHS) were analysed to evaluate the association between women’s empowerment and stillbirths. Equiplots were generated to assess the distribution of stillbirths by wealth quintile, place of residence and level of maternal education using data from NHDS 1996, 2001, 2006, 2011 and 2016 data. For the association of women empowerment factors and stillbirths, univariate and multivariate analyses were conducted.

Results

A total of 88 stillbirths were reported during the survey. Univariate analysis showed age of mother, education of mother, age of husband, wealth index, head of household, decision on healthcare and decision on household purchases had significant association with stillbirths (p < 0.05). In multivariate analysis, only maternal age 35 years and above was significant (aOR 2.42; 1.22–4.80). Education of mother (aOR 1.48; 0.94–2.33), age of husband (aOR 1.54; 0.86–2.76), household head (aOR 1.51; 0.88–2.59), poor wealth index (aOR 1.62; 0.98–2.68), middle wealth index (aOR 1.37; 0.76–2.47), decision making for healthcare (aOR 1.36; 0.84–2.21) and household purchases (aOR 1.01; 0.61–1.66) had no any significant association with stillbirths.

Conclusions

There are various factors linked with stillbirths. It is important to track stillbirths to improve health outcomes of mothers and newborn. Further studies are necessary to analyse women empowerment factors to understand the linkages between empowerment and stillbirths.

     

Quality of life in Parkinson’s disease patients: validation of the Short-Form Eight-item Parkinson’s Disease Questionnaire (PDQ-8) in Taiwan

Purpose  

This study sought to evaluate the Chinese version of the eight-item Parkinson’s Disease Questionnaire (PDQ-8), through standard psychometric techniques.     

The nutritional status of Dutch elderly patients with Parkinson’s disease

Objectives: To assess the prevalence of (risk of) undernutrition in Dutch elder Parkinson’s disease patients as well as it’s risk factors. Design: Observational cross-sectional study. Setting: An outpatient clinic at the department Neurology of Medical Centre Leeuwarden, a large teaching hospital. Participants: 102 outpatients with Parkinson’s disease aged 65 years and older were recruited. Measurements: Data regarding various aspects of undernutrition including socio-demographic aspect, disease characterisitics, nutritional status, appetite and overall-physical and psychological functioning were collected. Results: Undernutrition was diagnosed in 2.0% and 20.5% of the patients were categorized as being at risk of undernutrition. Care dependency and appetite were the two risk factors with the highest predictive value for an unfavorable nutritional status. Conclusion: Of Dutch elderly patients with Parkinson’s Disease 22.5% had an unfavourable nutritional status. Dependency and appetite were the two risk factors with the highest predictive value fort his outcome. Because undernutrition can be regarded as a geriatric syndrome a comprehensive nutritional assessment should be done followed by nutritional interventions next to interventions focused on the risk factors. Further studies are needed to evaluate these interventions.     

Dopamine Transporter Genetic Variants and Pesticides in Parkinson’s Disease

Background

Research suggests that independent and joint effects of genetic variability in the dopamine transporter (DAT) locus and pesticides may influence Parkinson’s disease (PD) risk.

Materials

Methods: In 324 incident PD patients and 334 population controls from our rural California case–control study, we genotyped rs2652510, rs2550956 (for the DAT 5′ clades), and the 3′ variable number of tandem repeats (VNTR). Using geographic information system methods, we determined residential exposure to agricultural maneb and paraquat applications. We also collected occupational pesticide use data. Employing logistic regression, we calculated odds ratios (ORs) for clade diplotypes, VNTR genotype, and number of susceptibility (A clade and 9-repeat) alleles and assessed susceptibility allele–pesticide interactions.

Results

PD risk was increased separately in DAT A clade diplotype carriers [AA vs. BB: OR = 1.66; 95% confidence interval (CI), 1.08–2.57] and 3′ VNTR 9/9 carriers (9/9 vs. 10/10: OR = 1.8; 95% CI, 0.96–3.57), and our data suggest a gene dosing effect. Importantly, high exposure to paraquat and maneb in carriers of one susceptibility allele increased PD risk 3-fold (OR = 2.99; 95% CI, 0.88–10.2), and in carriers of two or more alleles more than 4-fold (OR = 4.53; 95% CI, 1.70–12.1). We obtained similar results for occupational pesticide measures.

Discussion

Using two independent pesticide measures, we a) replicated previously reported gene–environment interactions between DAT genetic variants and occupational pesticide exposure in men and b) overcame previous limitations of nonspecific pesticide measures and potential recall bias by employing state records and computer models to estimate residential pesticide exposure.

Conclusion

Our results suggest that DAT genetic variability and pesticide exposure interact to increase PD risk.     

Psychosocial Adjustment to Illness Scale in family caregivers of patients with Parkinson’s Disease: Spanish validation study

Psychosocial adjustment to a complex and disabling long-term condition like Parkinson´s disease is a complex, dynamic, cyclical and interactive process. Family caregivers, face multiple challenges that require a significant effort in terms of psychosocial adjustment, which must be considered by healthcare professionals in order to provide a holistic care. The patients’ self-report version of the Psychosocial Adjustment to Illness Scale (PAIS-SR), which has been validated in Spain for use in Parkinson's disease, is designed to evaluate the psychosocial adjustment of patients. Our purpose was to validate the Spanish PAIS-SR version for caregivers of patients with Parkinson's disease. An open, national cross-sectional study with one point-in-time evaluation and retest was carried out in 450 family caregivers of patients with Parkinson's disease. Data were collected in Spain from April 2016 to September 2017. The psychometric analysis performed showed that the Spanish version of the PAIS-SR for caregivers presents adequate indicators of reliability, internal and external validity, and is structured according to the seven-domain model proposed by the author of the instrument.