Search

Objectives Our study examined the effect of urbanization on cognitive function and its possible pathways among Chinese middle-aged and older adults independent of the influence of health-selective migration. Methods Using data from the China Health and Retirement Longitudinal Study, we compared cognitive function among three groups (urbanized-rural residents, rural nonmigrants, and urban nonmigrants). Logistic regression and structural equation models were applied to explore the impact of urbanization on cognitive function and the potential mechanisms. Results Compared with the urbanized-rural group, urban nonmigrants had better cognitive function, with a significant coefficient of 1.56 (95% CI: 1.22, 1.89) for global cognition scores and 0.37 (95% CI: 0.22, 0.53) for episodic memory scores. The rural nonmigrants had the worst cognitive function (β = −0.79, 95% CI: −1.04, −0.55) and lower scores of mental intactness (β = −0.65, 95% CI: −0.84, −0.57) and episodic memory (β = −0.14, 95% CI: −0.26, −0.03). The association between urbanization and cognitive function was mainly mediated by income and living conditions among middle-aged and older adults. Discussion Rural people who experienced planned urbanization in China had higher cognitive scores than rural non-migrants. Urbanization could thus have a beneficial and cumulative effect on cognitive function. Improvements in living conditions and changes in income are the main drivers behind the relationship. However, urbanization could compensate for the negative impact on cognitive function from disadvantaged early-life conditions, but it cannot completely eliminate the gap between urbanized-rural people and urban nonmigrants.

The univariate obesity–brain associations have been extensively explored, while little is known about the multivariate associations between obesity and resting-state functional connectivity. We therefore utilized machine learning and resting-state functional connectivity to develop and validate predictive models of 4 obesity phenotypes (i.e. body fat percentage, body mass index, waist circumference, and waist–height ratio) in 3 large neuroimaging datasets (n = 2,992). Preliminary evidence suggested that the resting-state functional connectomes effectively predicted obesity/weight status defined by each obesity phenotype with good generalizability to longitudinal and independent datasets. However, the differences between resting-state functional connectivity patterns characterizing different obesity phenotypes indicated that the obesity–brain associations varied according to the type of measure of obesity. The shared structure among resting-state functional connectivity patterns revealed reproducible neuroimaging biomarkers of obesity, primarily comprising the connectomes within the visual cortex and between the visual cortex and inferior parietal lobule, visual cortex and orbital gyrus, and amygdala and orbital gyrus, which further suggested that the dysfunctions in the perception, attention and value encoding of visual information (e.g. visual food cues) and abnormalities in the reward circuit may act as crucial neurobiological bases of obesity. The recruitment of multiple obesity phenotypes is indispensable in future studies seeking reproducible obesity–brain associations.

This study aimed to examine whether baseline gray matter (GM) volume and structural covariance patterns could predict body fat gain over 1 to 2 years in a relatively large sample.Voxel-based morphometry (VBM) analysis was applied to examine the association between baseline GM volume and body fat gain in 502 participants over 1 to 2 years. Furthermore, this study tested whether the structural covariances between the regions identified as seeds from VBM analysis and the rest of the brain were associated with future body fat gain.A significant positive association was observed between baseline GM volume in the perigenual anterior cingulate cortex (pgACC) and body fat gain over 1 to 2 years. Furthermore, relative to those with lower future body fat gain, pgACC covaried more extensively with the middle frontal gyrus, middle temporal gyrus, inferior temporal gyrus, and cerebellum in participants with higher future body fat gain.Using VBM and structural covariance network analysis, the current study revealed that higher GM volume of pgACC and its increased structural covariances with specific brain regions were associated with future weight gain, which may guide the development of more effective prevention and treatment interventions for obesity.

Olfaction is tightly regulated by internal status such as hunger level. The influence of fasted and fed states on olfactory sensitivity in humans has reached mixed results. This study aims to systematically review, integrate and meta-analyze evidence of the impact of fasting on olfactory sensitivity in humans and to explore the impact of potential moderators.Electronic databases (PubMed, PsycINFO, Web of Science, COCHRANE and Ovid) were searched for studies with human participants investigating the effect of fasting on olfactory sensitivity. Studies were included in the review if they measured odor threshold both at fasted and sated status. The data extraction was determined based on the change in odor threshold from the fasted state to the fed state. Meta-analysis was conducted using a random-effect model to estimate the standardized mean difference transformed olfactory sensitivity change between fasted and fed states with 95% confidence interval (CI).Thirteen studies (12 articles) were included in the meta-analysis with a total of 550 participants. Olfactory sensitivity was higher in the fasted state compared to the fed state (SMD = -0.251, 95% CI = -0.426, -0.075, Z = -2.804, p = 0.005). Separated analyses for food and non-food odors revealed a significant elevated sensitivity to non-food odors during the fasted state compared to the fed state. The meta-regression analysis revealed that fasting time positively moderate the increased olfactory sensitivity from the fasted to fed states (β = -0.013, 95% CI = -0.023, -0.002, p = 0.016).Fasting improves human olfactory sensitivity to non-food odors, and this effect increases with longer fasting time. Future research design on olfactory sensitivity should take both the fasted state and fasting period of the participants into consideration.

The reciprocal relationship between academic self-concept (ASC) and academic achievement has been documented in multiple studies. However, this relationship has not been investigated fully from a developmental perspective. In the present meta-analysis, 240 effect sizes were aggregated from 68 longitudinal studies to examine the longitudinal relationship between ASC and achievement. The results found that achievement significantly predicted ASC (β = 0.16, p < 0.01) and vice-versa (β = 0.08, p < 0.01) after controlling for the initial level of outcome variables, which provided further evidence for the reciprocal effects model (REM). Moderator analyses found that the effect of achievement on ASC was significantly moderated by student age, whereas the effect of ASC on achievement was significantly moderated by student age, achievement level, and types of achievement measurement. Combining the significant moderating effect of age on the paths leading from ASC to achievement and from achievement to ASC, the relationship between ASC and achievement was found to demonstrate a trend from a strong skill-development effect to a pronounced reciprocal effect with age within the framework of the REM.

This study aimed to determine whether smartphone addiction and depression sequentially mediate the relationship between body dissatisfaction and disordered eating behaviors (e.g., restrained eating, emotional eating and external eating). A total of 5986 participants (54.1% females, average age = 19.8 years, age range = 17–32) completed the Satisfaction and Dissatisfaction with Body Parts Scale, the Three-Factor Eating Questionnaire, the Smartphone Addiction Scale and the Patient Health Questionnaire-9. Mediational analysis showed that, after controlling for age, sex and body mass index, body dissatisfaction was related to disordered eating behaviors through (a) the mediating effect of smartphone addiction, (b) the mediating effect of depression, and (c) the serial mediating effect of smartphone addiction and depression. In conclusion, our study showed for the first time that smartphone addiction and depression can be sequential mediator variables in the association between body dissatisfaction and disordered eating. However, this study is a cross-sectional study; future longitudinal studies could further test the causal associations between these study variables.

Food-specific go/no-go training might reduce overeating and facilitate weight loss. In this pilot study, we examined whether a food-specific go/no-go training over five weeks, as compared to a non-food-specific training, could produce changes in behavioral and neural responses to food images and body weight. Here, we used a sample of 51 overweight participants divided into training and control groups whose brain activity and food evaluation were measured before and after the training. Compared with the control group, in the training group we found significant reductions in high-calorie food evaluation. We also found lower activations in inhibitory control- and reward-related brain regions in response to high-calorie food images. Further, activation change of the mid-insula in response to the high-calorie food images was positively associated with change in the evaluation of those images. However, we found no evidence for a significant effect of food-specific go/no-go training on body weight change. Our findings highlight that food-specific go/no-go training in overweight individuals can reduce high-calorie food evaluation, but also neural activations in inhibitory control- and reward- related brain regions.

Obesity is often accompanied by lower working memory (e.g., a lower ability to keep goal-relevant information in mind) relative to healthy weight individuals. Understanding this relative working memory impairment has important clinical implications, as working memory is thought to facilitate adherence to weight management programs. Theoretical models of obesity, self-regulation, and inflammation suggest that inflammation plays a role in obesity-related working memory impairments, but to date no study has tested this prediction. Therefore, the current study examined whether inflammation statistically mediated the relationship between obesity and working memory in a nationally representative dataset of U.S. adults from Wave IV of The National Longitudinal Study of Adolescent to Adult Health (N = 11,546, age range 25–34). Inflammation was quantified via C-reactive protein (CRP) level, and working memory was assessed using a modified digit span backward task. As expected, cross-sectional analyses showed that a body mass index (BMI) indicative of obesity—as well as greater BMI when BMI was analyzed continuously—and greater CRP were each related to lower working memory. Critically, we found that CRP levels statistically mediated the relationships between obesity/greater BMI and working memory, with CRP accounting for 44.1% of the variance explained in working memory by BMI. Moreover, these findings held both with and without controlling for relevant covariates, including demographic characteristics (e.g., age), socioeconomic status, and behavioral factors (e.g., smoking). Our results therefore point to inflammation as playing an important role in the relationship between obesity and working memory, and suggest that interventions aimed at reducing inflammation may help lessen the cognitive burden of obesity.

This study aimed to investigate the characteristics of children diagnosed with ASD in China and to estimate ASD treatment patterns in 2020. This study used data from the 2020 Survey on Family Circumstance and Demand Support and Resources among Autistic Children in China. The study sample included 4,557 children diagnosed with ASD aged 2-16 years old. Data were collected through questionnaires completed by parents. Of the 4,557 children with ASD, there was a male-to-female ratio of 5.75:1, and the average age when ASD risk symptoms were first reported was 27.97(SD=10.83) months. Higher proportions of families with highly educated parents (college and above; around 58%) and advanced parental age at childbirth (≥35 years; over 50%) were found among autistic children. Additionally, about 41.05% of autistic children had an immediate family member diagnosed with mental/intellectual disorders. In terms of the treatment patterns for autistic children, 84.82% had received behavioral and developmental treatments and 77.74% had received therapy-based treatments, whereas 3% children had not received any treatment. Higher odds of non-treatment were found among children who were male (OR=1.69, 95% CI: 1.01,3.03) and had ASD diagnosed later on (OR= 1.02, 95% CI:1.01,1.03), as compared to their counterparts. Future studies will need to explore the etiology of the disparities of ASD, and policy efforts are critically needed to understand and address the barriers for children with ASD to receive appropriate treatments.

To determine the association between executive function and later externalizing and internalizing problems, we conducted a meta-analysis of 167 studies (1098 effect sizes, total N = 66,119) that explored the longitudinal associations between executive functions in children and subsequent externalizing and internalizing problems. The results indicated that greater child executive function was prospectively associated with fewer attention-deficit/hyperactivity disorder (ADHD) symptoms, fewer conduct problems, fewer oppositional defiant disorder symptoms, less substance use, fewer broad externalizing problems, fewer depression symptoms, and fewer broad internalizing problems, but not with subsequent anxiety symptoms. Moderator analyses revealed that the sample type moderated the associations of executive function with both ADHD symptoms and conduct problems. Age of assessment moderated the association with broad externalizing problems, and executive function context moderated associations with both substance use and broad internalizing problems. These findings suggest that executive function in children prospectively predicts numerous externalizing and internalizing behaviors, suggesting that executive function may be an important target for psychopathology prevention programs and interventions.

Cognitive deficits play a role in the development and maintenance of overeating and obesity, and cognitive training in obesity refers to a family of interventions aimed at reducing overeating and obesity by improving these cognitive deficits. In this review, we synthesize the current literature on these issues by conducting a meta-analysis of studies investigating the effects of cognitive trainings on eating behaviour and presenting a systematic review of studies investigating the effects of cognitive trainings on weight loss. We examined 66 independent experiments that examined the effects of cognitive training aimed at reducing cognitive bias or improving executive control on eating behaviour and weight loss. Overall, inhibition training, attention bias modification training, and episodic future thinking training significantly influenced eating behaviour; however, approach/avoidance training did not significantly influence eating behaviour. Moderator analyses indicated that the effect of inhibition training on eating behaviour was moderated by training task and food novelty, the effect of approach/avoidance training was moderated by food type, and the effect of episodic future thinking training was moderated by type of episodic future thinking. Literature reviewed on cognitive training and weight loss provided preliminary support for the effects of food-specific inhibition training on weight loss from pre-intervention to post intervention. However, because most of the included studies focused on short-term outcomes in normal-weight samples, longer duration studies in clinical populations (eg, individuals with obesity) are needed to examine the generalizability of these results.

Background Rumination has been thought to relate to deficits in core executive functions (EFs), but the empirical findings for this idea are mixed. The aim of the present study is to synthesize existing literature to clarify these relations. Methods A comprehensive literature search revealed 34 published as well as unpublished studies on the associations between rumination and core EF. These studies report on 3,066 participants. The effect size in the meta-analyses was obtained by the z transformation of correlation coefficients. Results Analysis revealed significant negative associations between rumination and both inhibition (r = ‒.23) and set-shifting (r = ‒.19). There was no significant association between rumination and working memory. These associations were not moderated by age, sex, type of sample (depressed or healthy), type of outcome measure (accuracy vs. reaction time), or affective content of the task, although statistical power for these tests was limited. Conclusions We found significant negative associations between rumination and inhibition or set-shifting. There was no significant association between rumination and working memory. Future research should adopt multiple measures of EF to provide clear evidence on the associations between EF and rumination. A better understanding of this relationship may have important implications for intervention of rumination, such as training programs to improve EF or teach compensatory strategies to mitigate the effects of EF impairments.

Prior research has suggested that obesity/overweight may be associated with deficits in executive function. If true, this has important clinical implications. In this review, we synthesize the current literature by conducting a meta-analysis of studies comparing executive functions in overweight/obese individuals to normal weight controls. We identified 72 studies-with 4904 overweight/obese participants-that met our inclusion criteria. Effect sizes were analyzed using the robust variance estimation random effects meta-regression technique. It was found that obese participants showed broad impairments on executive function, including on tasks primarily utilizing inhibition, cognitive flexibility, working memory, decision-making, verbal fluency, and planning; overweight participants only showed significant deficits in inhibition and working memory. The only moderator of effects of obesity to emerge significant was the task used to assess the respective executive function, which moderated effects of obesity on working memory and decision-making. There were not enough studies of overweight individuals to make strong claims about moderating effects in those studies. In sum, current evidence supports the existence of broad executive function deficits in obese individuals, and inhibition and working memory deficits in overweight individuals.

Rumination has been thought to relate to deficits in core executive functions (EFs), but the empirical findings for this idea are mixed. The aim of the present study is to synthesize existing literature to clarify these relations.A comprehensive literature search revealed 34 published as well as unpublished studies on the associations between rumination and core EF. These studies report on 3,066 participants. The effect size in the meta-analyses was obtained by the z transformation of correlation coefficients.Analysis revealed significant negative associations between rumination and both inhibition (r = -.23) and set-shifting (r = -.19). There was no significant association between rumination and working memory. These associations were not moderated by age, sex, type of sample (depressed or healthy), type of outcome measure (accuracy vs. reaction time), or affective content of the task, although statistical power for these tests was limited.We found significant negative associations between rumination and inhibition or set-shifting. There was no significant association between rumination and working memory. Future research should adopt multiple measures of EF to provide clear evidence on the associations between EF and rumination. A better understanding of this relationship may have important implications for intervention of rumination, such as training programs to improve EF or teach compensatory strategies to mitigate the effects of EF impairments.