Neuroimaging the pain network – Implications for treatment

In this chapter, we provide an overview of neuroimaging studies in chronic pain. We start with an introduction about the phenomenology of pain. In the following section, the application of functional and structural imaging techniques is shown in selected chronic pain syndromes (chronic back pain, fibromyalgia syndrome (FMS), phantom limb pain, and complex regional pain syndrome (CRPS)), and commonalities and peculiarities of imaging correlates across different types of chronic pain are discussed. We conclude this chapter with implications for treatments, with focus on behavioral interventions, sensory and motor trainings, and mirror and motor imagery trainings.     

Associations of Early Age of First Intoxication with Past Year Drinking Contexts and Problems

Background: Mechanisms underlying associations between early drinking and problems are largely unknown. Objectives: We investigated (a) associations between early age of first intoxication (≤15?years) and past year drinking in different contexts and (b) whether early age of first intoxication is differentially associated with problems in these contexts. Methods: We used survey data collected in 2013–2014 from 405 past-year adolescent drinkers in 24 midsized California cities. Data included demographics; drinking behaviors; age of first intoxication; frequency of being at and drinking at restaurants, bars/nightclubs, outdoor places, and home; and problems. We used multilevel logistic and negative binomial models to account for the clustering of adolescents within cities. Probabilities were corrected to maintain family-wise error rates. Results: Early age of first intoxication was associated with a 120% increase in the odds of drinking at outdoor settings (OR = 2.20, p_c < .05). Early age of first intoxication was associated with increased numbers of problems related to drinking in restaurants (IRR = 5.72, p_c < .001), outdoor settings (IRR = 3.40, p_c < .001), and homes (IRR = 2.84, p_c < .001). Later intoxication (≥16?years) was not significantly associated with increased drinking or problems in any of these contexts. Conclusions: Results suggest that underage drinkers who report early intoxication are more likely to drink at outdoor settings, but not other contexts. However, they may differentially experience drinking problems across contexts. To target youths who have experienced intoxication at an early age and to reduce problems, prevention interventions should focus on outdoor settings.     

Long-term changes in dietary intake and its association with eating-related problems after gastric bypass in adolescents

BackgroundRoux-en-Y gastric bypass (RYGB) surgery is an established, effective treatment for severe adolescent obesity. Long-term dietary intake and the relationship to eating-related problems are scarcely evaluated in this population.ObjectivesAssess changes in dietary intake in adolescents after RYGB and explore associations between dietary intake and eating-related problems.Setting: Multicenter study in Swedish university hospitals.MethodDiet history, binge eating scale (BES), and Three-Factor Eating Questionnaire were assessed preoperatively and 1, 2, and 5 years after RYGB in 85 adolescents (67% female) aged 16.5 ± 1.2 years with a body mass index (BMI) of 45.5 ± 6.0 kg/m² and compared with control individuals at 5 years.ResultsFive-year BMI change was –28.6% ± 12.7% versus +9.9% ± 18.9% in RYGB patients versus control individuals (P < .001). Through 5 years, RYGB adolescents reported reduced energy intake, portion size of cooked meals at dinner, and milk/yoghurt consumption (P < .01). The BES scores were 9.3 ± 8.3 versus 13.4 ± 10.5 in RYGB patients versus control individuals (P = .04). Association between BES score and energy intake was stronger in control individuals (r = .27 versus r = .62 in RYGB patients versus control individuals, P < .001). At 5 years, lower energy intake was associated with greater BMI loss in all adolescents (r = .33, P < .001). Higher scores in BES and uncontrolled and emotional eating were associated with higher energy intake, cooked meals, candies/chocolates, cakes/cookies, desserts, and sugary drinks (r > .23, P < .04) and lower intake of fruits/berries (r = –.32, P = .044). A higher score in cognitive restraint was associated with a higher intake of cereals and fruits/berries (r > .22, P < .05) and a lower intake of sugary drinks (r = –.24, P < .03).ConclusionTo support optimization of long-term outcomes in adolescent RYGB patients, it is important to provide management strategies to reduce energy intake. Monitoring eating-related problems could identify potential individuals at risk of poor weight loss and to initiate treatment interventions.     

Culture: The Driving Force of Human Cognition

It is often, though sometimes only implicitly, assumed that biological/genetic evolution sets neural substrates, that neural substrates fix cognitive abilities, and that cognitive abilities determine the spectrum of cultural practices exhibited by a biological species. We label this view as the “bottom‐up‐only” view. In this paper we will show that such a “chain of dependence” is much looser than usually assumed, especially as far as recent periods (the last 800,000 years vs. the last 7 million years or more) are considered. We will provide evidence and arguments supporting the idea that cultural innovation may have direct and ascertainable effects both on the cognitive capabilities of populations of hominins (via what we call “cultural exaptation”) and on the neural substrates of the individuals in those populations (via what we call “cultural neural reuse”). Together, cultural exaptation and cultural neural reuse may give raise to a plausible general mechanism for cognitive evolution in which culture is the driving force, thus offering a “top‐down‐also” view of human evolution.     

农村青少年不同时期家庭逆境与精神病理症状的关联

目的探讨家庭逆境致精神病理症状结局的累积性与关键期效应,为预防与干预逆境伤害提供依据。方法2017年12月,采用方便抽样的方法选取安徽省阜阳地区2所农村学校的710名青少年。采用《童年期不良经历问卷》评估家庭逆境,《MacArthur健康与行为问卷》评价内化症状和外化症状。采用多元线性回归分析家庭逆境发生时间与数量和精神病理症状的关联。结果持续家庭逆境组与内化症状、外化症状增加均有相关性[β值(95%CI)分别为0.35(0.15~0.54),0.16(0.01~0.32)]。家庭逆境数量为2和≥3与内化症状[β值(95%CI)分别为0.20(0.04~0.36),0.42(0.24~0.60)]、外化症状[β值(95%CI)分别为0.14(0.01~0.26),0.23(0.09~0.37)]增加有关。在仅童年期家庭逆境中,家庭逆境数量为2和≥3的内化症状[β值(95%CI)分别为0.23(0.06~0.41),0.34(0.11~0.58)]、外化症状[β值(95%CI)分别为0.17(0.02~0.31),0.21(0.02~0.39)]的风险增高。在持续家庭逆境组中,逆境数量≥3与内化症状、外化症状相关[(β值(95%CI)分别为0.56(0.31~0.82),0.24(0.02~0.45)]。仅青春期家庭逆境与精神病理症状无关。结论家庭逆境的多次发生可增加精神病理症状风险,童年期可能是家庭逆境致精神病理症状的关键期。     

Explained and unexplained racial and regional inequality in obesity prevalence in the United States

ABSTRACT

Objective: There are substantial racial and regional disparities in obesity prevalence in the United States. This study partitioned the mean Body Mass Index (BMI) and obesity prevalence rate gaps between non-Hispanic blacks and non-Hispanic whites into the portion attributable to observable obesity risk factors and the remaining portion attributable to unobservable factors at the national and the state levels in the United States (U.S.) in 2010.

Design: This study used a simulated micro-population dataset combining common information from the Behavioral Risk Factor Surveillance System and the U.S. Census data to obtain a reliable, large sample representing the adult populations at the national and state levels. It then applied a reweighting decomposition method to decompose the black-white mean BMI and obesity prevalence disparities at the national and state levels into the portion attributable to the differences in distribution of observable obesity risk factors and the remaining portion unexplainable with risk factors.

Results: We found that the observable differences in distribution of known obesity risk factors explain 18.5% of the mean BMI difference and 20.6% of obesity prevalence disparities between non-Hispanic blacks and non-Hispanic whites. There were substantial variations in how much the differences in distribution of known obesity risk factors can explain black-white gaps in mean BMI (?67.7% to 833.6%) and obesity prevalence (?278.5% to 340.3%) at the state level.

Conclusion: The results from this study demonstrate that known obesity risk factors explain a small proportion of the racial, ethnic and between-state disparities in obesity prevalence in the United States. Future etiologic studies are required to further understand the causal factors underlying obesity and racial, ethnic and geographic disparities.