Central corneal thickness (CCT) is a highly heritable trait associated with complex eye diseases such as keratoconus and glaucoma. We perform a genome-wide association meta-analysis of CCT and ...identify 19 novel regions. In addition to adding support for known connective tissue-related pathways, pathway analyses uncover previously unreported gene sets. Remarkably, >20% of the CCT-loci are near or within Mendelian disorder genes. These included FBN1, ADAMTS2 and TGFB2 which associate with connective tissue disorders (Marfan, Ehlers-Danlos and Loeys-Dietz syndromes), and the LUM-DCN-KERA gene complex involved in myopia, corneal dystrophies and cornea plana. Using index CCT-increasing variants, we find a significant inverse correlation in effect sizes between CCT and keratoconus (r = -0.62, P = 5.30 × 10
) but not between CCT and primary open-angle glaucoma (r = -0.17, P = 0.2). Our findings provide evidence for shared genetic influences between CCT and keratoconus, and implicate candidate genes acting in collagen and extracellular matrix regulation.
AIM:To study the prevalence and clinical biochemical,blood cell and metabolic features of lean-non-alcoholic fatty liver disease(lean-NAFLD)and its association with other ...diseases.METHODS:Demographic,biochemical and blood examinations were conducted in all the subjects in this study.We classified the subjects into four groups according to their weight and NAFLD status:lean-control,lean-NAFLDbody mass index(BMI)<24 kg/m2,overweight-obese control and overweight-obese NAFLD.One-way analysis of variance(ANOVA)was used to compare the means of continuous variables(age,BMI,blood pressure,glucose,lipid,insulin,liver enzymes and blood cell counts)and theχ2 test was used to compare the differences in frequency of categorical variables(sex,education,physical activity,smoking,alcohol consumption and prevalence of hypertension,hyperlipidemia,diabetes,metabolic syndrome central obesity and obesity).Both univariate and multivariate logistic regression models were adopted to calculate odds ratios(ORs)and predict hyperlipidemia,hypertension,diabetes and metabolic syndrome when we respectively set all controls,lean-control and overweightobese-control as references.In multivariate logistic regression models,we adjusted potential confounding factors,including age,sex,smoking,alcohol consumption and physical activity.RESULTS:The prevalence of NAFLD was very high in China.NAFLD patients were older,had a higher BMI,waist circumference,blood pressure,fasting blood glucose,insulin,blood lipid,liver enzymes and uric acid than the controls.Although lean-NAFLD patients had lower BMI and waist circumstance,they had significantly higher visceral adiposity index than overweightobese controls.Lean-NAFLD patients had comparable triglyceride,cholesterin and low-density lipoprotein cholesterin to overweight-obese NAFLD patients.In blood cell examination,both lean and overweightobese NAFLD was companied by higher white blood cell count,red blood cell count,hemoglobin and hematocrit value.All NAFLD patients were at risk of hyperlipidemia,hypertension,diabetes and metabolic syndrome(Met S).Lean-NAFLD was more strongly associated with diabetes(OR=2.47,95%CI:1.14-5.35),hypertension(OR=1.72,95%CI:1.00-2.96)and Met S(OR=3.19,95%CI:1.17-4.05)than overweight-obese-NAFLD(only OR for Met S was meaningful:OR=1.89,95%CI:1.29-2.77).NAFLD patients were more likely to have central obesity(OR=1.97,95%CI:1.38-2.80),especially in lean groups(OR=2.17,95%CI:1.17-4.05).CONCLUSION:Lean-NAFLD has unique results in demographic,biochemical and blood examinations,and adds significant risk for diabetes,hypertension and Met S in lean individuals.
Oral potentially malignant disorders (OPMD) are chronic conditions, which have a higher risk of transformation to oral squamous cell carcinoma. The aim of this systematic review and meta‐analysis was ...to answer the question: “What is the prevalence of oral potentially malignant disorders among adults?” Studies reporting the prevalence of these conditions (leukoplakia, erythroplakia, oral submucous fibrosis OSMF, and actinic cheilitis) were selected, only studies in which a clinical assessment and histopathological confirmation were performed were included. Of the 5513 studies, 22 met the inclusion criteria for qualitative and quantitative analyses. The risk of bias (RoB) of the selected studies was assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Studies Reporting Prevalence Data. Seven studies were classified as high risk, 12 as moderate risk, and 3 as low RoB. The meta‐analysis showed that the prevalence of OPMD was 4.47% (95% CI = 2.43‐7.08). The most prevalent OPMDs were OSMF (4.96%; 95% CI = 2.28‐8.62) and leukoplakia (4.11%; 95% CI = 1.98‐6.97). OPMDs were identified more commonly in males (59.99%; 95% CI = 41.27‐77.30). Asian and South American/Caribbean populations had the highest prevalence rates of 10.54% (95% CI = 4.60‐18.55) and 3.93% (95% CI = 2.43‐5.77), respectively. The overall prevalence of OPMD worldwide was 4.47%, and males were more frequently affected by these disorders. The prevalence of OPMD differs between populations; therefore, further population‐based studies may contribute to the better understanding of these differences.
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CMK, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
Children often "overimitate," comprehensively copying others' actions despite manifest perceptual cues to their causal ineffectuality. The inflexibility of this behavior renders its adaptive ...significance difficult to apprehend. This study explored the boundaries of overimitation in 3- to 6-year-old children of three distinct cultures: Westernized, urban Australians (N = 64 in Experiment 1; N = 19 in Experiment 2) and remote communities of South African Bushmen (N = 64) and Australian Aborigines (N = 19). Children overimitated at high frequency in all communities and generalized what they had learned about techniques and object affordances from one object to another. Overimitation thus provides a powerful means of acquiring and flexibly deploying cultural knowledge. The potency of such social learning was also documented compared to opportunities for exploration and practice.
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BFBNIB, DOBA, FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NMLJ, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBMB, SIK, UILJ, UKNU, UL, UM, UPUK
Despite being newcomers, immigrants often exhibit better health relative to native-born populations in industrialized societies. We extend prior efforts to identify whether self-selection and/or ...protection explain this advantage. We examine migrant height and smoking levels just prior to immigration to test for self-selection; and we analyze smoking behavior since immigration, controlling for self-selection, to assess protection. We study individuals aged 20-49 from five major national origins: India, China, the Philippines, Mexico, and the Dominican Republic. To assess self-selection, we compare migrants, interviewed in the National Health and Interview Surveys (NHIS), with nonmigrant peers in sending nations, interviewed in the World Health Surveys. To test for protection, we contrast migrants' changes in smoking since immigration with two counterfactuals: (1) rates that immigrants would have exhibited had they adopted the behavior of U.S.-born non-Hispanic whites in the NHIS (full "assimilation"); and (2) rates that migrants would have had if they had adopted the rates of nonmigrants in sending countries (no-migration scenario). We find statistically significant and substantial self-selection, particularly among men from both higher-skilled (Indians and Filipinos in height, Chinese in smoking) and lower-skilled (Mexican) undocumented pools. We also find significant and substantial protection in smoking among immigrant groups with stronger relative social capital (Mexicans and Dominicans).
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CEKLJ, FZAB, GEOZS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NUK, OBVAL, ODKLJ, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, VSZLJ, ZAGLJ
Adults who belong to racial/ethnic minority groups are more likely than White adults to receive a diagnosis of chronic disease in the United States.
To evaluate which health indicators have improved ...or become worse among Black and Hispanic middle-aged and older adults since the Minority Health and Health Disparities Research and Education Act of 2000.
In this repeated cross-sectional study, a total of 4 856 326 records were extracted from the Behavioral Risk Factor Surveillance System from January 1999 through December 2018 of persons who self-identified as Black (non-Hispanic), Hispanic (non-White), or White and who were 45 years or older.
The 1999 legislation to reduce racial/ethnic health disparities.
Poor health indicators and disparities including major chronic diseases, physical inactivity, uninsured status, and overall poor health.
Among the 4 856 326 participants (2 958 041 60.9% women; mean SD age, 60.4 11.8 years), Black adults showed an overall decrease indicating improvement in uninsured status (β = -0.40%; P < .001) and physical inactivity (β = -0.29%; P < .001), while they showed an overall increase indicating deterioration in hypertension (β = 0.88%; P < .001), diabetes (β = 0.52%; P < .001), asthma (β = 0.25%; P < .001), and stroke (β = 0.15%; P < .001) during the last 20 years. The Black-White gap (ie, the change in β between groups) showed improvement (2 trend lines converging) in uninsured status (-0.20%; P < .001) and physical inactivity (-0.29%; P < .001), while the Black-White gap worsened (2 trend lines diverging) in diabetes (0.14%; P < .001), hypertension (0.15%; P < .001), coronary heart disease (0.07%; P < .001), stroke (0.07%; P < .001), and asthma (0.11%; P < .001). Hispanic adults showed improvement in physical inactivity (β = -0.28%; P = .02) and perceived poor health (β = -0.22%; P = .001), while they showed overall deterioration in hypertension (β = 0.79%; P < .001) and diabetes (β = 0.50%; P < .001). The Hispanic-White gap showed improvement in coronary heart disease (-0.15%; P < .001), stroke (-0.04%; P < .001), kidney disease (-0.06%; P < .001), asthma (-0.06%; P = .02), arthritis (-0.26%; P < .001), depression (-0.23%; P < .001), and physical inactivity (-0.10%; P = .001), while the Hispanic-White gap worsened in diabetes (0.15%; P < .001), hypertension (0.05%; P = .03), and uninsured status (0.09%; P < .001).
This study suggests that Black-White disparities increased in diabetes, hypertension, and asthma, while Hispanic-White disparities remained in diabetes, hypertension, and uninsured status.
Childhood stunting usually begins in utero and continues after birth; therefore, its reduction must involve actions across different stages of early life.
We evaluated the efficacy of small-quantity, ...lipid-based nutrient supplements (SQ-LNSs) provided during pregnancy, lactation, and infancy on attained size by 18 mo of age.
In this partially double-blind, individually randomized trial, 1320 women at ≤20 wk of gestation received standard iron and folic acid (IFA group), multiple micronutrients (MMN group), or SQ-LNS (LNS group) daily until delivery, and then placebo, MMNs, or SQ-LNS, respectively, for 6 mo postpartum; infants in the LNS group received SQ-LNS formulated for infants from 6 to 18 mo of age (endline). The primary outcome was child length by 18 mo of age.
At endline, data were available for 85% of 1228 infants enrolled; overall mean length and length-for-age z score (LAZ) were 79.3 cm and -0.83, respectively, and 12% of the children were stunted (LAZ <-2). In analysis based on the intended treatment, mean ± SD length and LAZ for the LNS group (79.7 ± 2.9 cm and -0.69 ± 1.01, respectively) were significantly greater than for the IFA (79.1 ± 2.9 cm and -0.87 ± 0.99) and MMN (79.1 ± 2.9 cm and -0.91 ± 1.01) groups (P = 0.006 and P = 0.009, respectively). Differences were also significant for weight and weight-for-age z score but not head or midupper arm circumference, and the prevalence of stunting in the LNS group was 8.9%, compared with 13.7% in the IFA group and 12.9% in the MMN group (P = 0.12). In analysis based on actual supplement provided at enrollment, stunting prevalences were 8.9% compared with 15.1% and 11.5%, respectively (P = 0.045).
Provision of SQ-LNSs to women from pregnancy to 6 mo postpartum and to their infants from 6 to 18 mo of age may increase the child's attained length by age 18 mo in similar settings. This trial was registered at clinicaltrials.gov as NCT00970866.
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CMK, GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ
Faster eating rates are associated with increased energy intake, but little is known about the relationship between children’s eating rate, food intake and adiposity. We examined whether children who ...eat faster consume more energy and whether this is associated with higher weight status and adiposity. We hypothesised that eating rate mediates the relationship between child weight and ad libitum energy intake. Children (n 386) from the Growing Up in Singapore Towards Healthy Outcomes cohort participated in a video-recorded ad libitum lunch at 4·5 years to measure acute energy intake. Videos were coded for three eating-behaviours (bites, chews and swallows) to derive a measure of eating rate (g/min). BMI and anthropometric indices of adiposity were measured. A subset of children underwent MRI scanning (n 153) to measure abdominal subcutaneous and visceral adiposity. Children above/below the median eating rate were categorised as slower and faster eaters, and compared across body composition measures. There was a strong positive relationship between eating rate and energy intake (r 0·61, P<0·001) and a positive linear relationship between eating rate and children’s BMI status. Faster eaters consumed 75 % more energy content than slower eating children (Δ548 kJ (Δ131 kcal); 95 % CI 107·6, 154·4, P<0·001), and had higher whole-body (P<0·05) and subcutaneous abdominal adiposity (Δ118·3 cc; 95 % CI 24·0, 212·7, P=0·014). Mediation analysis showed that eating rate mediates the link between child weight and energy intake during a meal (b 13·59; 95 % CI 7·48, 21·83). Children who ate faster had higher energy intake, and this was associated with increased BMI z-score and adiposity.
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