Assessment of HRV After Maximal Exercise in Trained Postmenopausal Women

Increased parasympathetic tone achieved with endurance training may provide cardioprotection after menopause. To compare heart rate variability (HRV) from rest through maximal exercise and recovery in trained postmenopausal women. Thirtysix postmenopausal women who self-reported training at either moderate (MOD; 3-5.9 METS; 58.9±4.4 year) or vigorous (VIG; \u3e6 METS; 59.7±5.2 year) intensities participated. HRV was measured for 5 min in the supine position, in the last minute of the VO2max test and after 2 min of active recovery. HRV in MOD and VIG was compared using a factorial ANOVA with repeated measures on time. MOD and VIG responded similarly over the three time periods for root mean square of sequential deviations (rMSSD), and high (HF) and low frequency (LF) power (p\u3e0.05). Maximal exercise lowered rMSSD (3.3±0.08 vs. 1.2±0.06) and lnLF (4.1±0.05 vs. 3.3±0.13) and increased lnHF (3.3±0.14 vs. 4.0±0.10; p\u3c0.01) from resting. However, active recovery restored lnHF (3.3±0.11) and lnLF (4.1±0.08) from maximal values (p\u3c0.01). Our findings suggest that moderate and vigorous exercise training may enhance HRV recovery following one bout of maximal exercise in older women

Is Vigorous Exercise Training Superior to Moderate for CVD Risk after Menopause?

Postmenopausal women have an increased risk for cardiovascular disease through many factors, such as a sedentary lifestyle and reduced heart rate variability (HRV). Endurance training improves coronary risk but the role of exercise intensity is unclear. The purpose of this observational study was to evaluate the effects of moderate versus vigorous exercise on cardiovascular disease risk in postmenopausal women. Thirty-six postmenopausal women who self-reported training at moderate (3–5.9 METS; n = 18; age 58.9 ± 4.4yr) or vigorous intensities ( \u3e 6 METS; n = 18; age 59.7 ± 5.2yr) participated. C-reactive protein (CRP), HRV, VO2max, and stress (Perceived Stress Survey, Menopause Rating Scale) were measured. Groups were compared using independent samples t-tests, and associations of exercise intensities with CRP and HRV were assessed using multiple regression. CRP, HRV, and VO2max were similar (p \u3e 0.05). Vigorous exercise had lower stress subscale scores (p \u3c 0.01) and higher counter-stress subscale scores compared to moderate (p \u3c 0.05). There was a positive association between time spent in vigorous exercise and HRV (p \u3c 0.05).Vigorous exercise may not confer additional benefits in CRP and HRV over moderate, except for stress reduction. However, more time spent in vigorous exercise was associated with higher HRV. Therefore, increased parasympathetic tone may provide cardioprotection after menopause

S3G2: a Scalable Structure-correlated Social Graph Generator

Benchmarking graph-oriented database workloads and graph-oriented database systems are increasingly becoming relevant in analytical Big Data tasks, such as social network analysis. In graph data, structure is not mainly found inside the nodes, but especially in the way nodes happen to be connected, i.e. structural correlations. Because such structural correlations determine join fan-outs experienced by graph analysis algorithms and graph query executors, they are an essential, yet typically neglected, ingredient of synthetic graph generators. To address this, we present S3G2: a Scalable Structure-correlated Social Graph Generator. This graph generator creates a synthetic social graph, containing non-uniform value distributions and structural correlations, and is intended as a testbed for scalable graph analysis algorithms and graph database systems. We generalize the problem to decompose correlated graph generation in multiple passes that each focus on one so-called "correlation dimension"; each of which can be mapped to a MapReduce task. We show that using S3G2 can generate social graphs that (i) share well-known graph connectivity characteristics typically found in real social graphs (ii) contain certain plausible structural correlations that influence the performance of graph analysis algorithms and queries, and (iii) can be quickly generated at huge sizes on common cluster hardware

Longitudinal and Sex Measurement Invariance of the Affective Neuroscience Personality Scales

The Affective Neuroscience Personality Scales (ANPS) is a personality instrument based on six evolutionary-related brain systems that are at the foundation of human emotions and behaviors: SEEKING, CARING, PLAYFULNESS, FEAR, ANGER, and SADNESS. We sought to assess for the short and long versions of the ANPS: (a) the longitudinal measurement invariance and long-term (4-year) stability and (b) the sex measurement invariance. Using data from a Canadian cohort (N = 518), we used single-group confirmatory factor analysis to assess longitudinal invariance and multiple-group confirmatory factor analysis to assess sex invariance, according to a five-step approach evaluating five invariance levels (configural, metric, scalar, residual, and complete). Results supported full longitudinal invariance for both versions for all invariance levels. Partial residual invariance was supported for sex invariance. The long-term stability of both versions was good to excellent. Implications for personality assessment and ANPS development are discussed

Contribution of birth weight to mental health, cognitive and socioeconomic outcomes: two-sample Mendelian randomisation

BACKGROUND: Low birth weight is associated with adult mental health, cognitive and socioeconomic problems. However, the causal nature of these associations remains difficult to establish owing to confounding. AIMS: To estimate the contribution of birth weight to adult mental health, cognitive and socioeconomic outcomes using two-sample Mendelian randomisation, an instrumental variable approach strengthening causal inference. METHOD: We used 48 independent single-nucleotide polymorphisms as genetic instruments for birth weight (genome-wide association studies' total sample: n = 264 498) and considered mental health (attention-deficit hyperactivity disorder (ADHD), autism spectrum disorder, bipolar disorder, major depressive disorder, obsessive-compulsive disorder, post-traumatic stress disorder (PTSD), schizophrenia, suicide attempt), cognitive (intelligence) and socioeconomic (educational attainment, income, social deprivation) outcomes. RESULTS: We found evidence for a contribution of birth weight to ADHD (OR for 1 s.d. unit decrease (~464 g) in birth weight, 1.29; 95% CI 1.03-1.62), PTSD (OR = 1.69; 95% CI 1.06-2.71) and suicide attempt (OR = 1.39; 95% CI 1.05-1.84), as well as for intelligence (β = -0.07; 95% CI -0.13 to -0.02) and socioeconomic outcomes, i.e. educational attainment (β = -0.05; 95% CI -0.09 to -0.01), income (β = -0.08; 95% CI -0.15 to -0.02) and social deprivation (β = 0.08; 95% CI 0.03-0.13). However, no evidence was found for a contribution of birth weight to the other examined mental health outcomes. Results were consistent across a wide range of sensitivity analyses. CONCLUSIONS: These findings support the hypothesis that birth weight could be an important element on the causal pathway to mental health, cognitive and socioeconomic outcomes

Calibration Dilemmas in the Ethics of Distribution

This paper presents a new kind of problem in the ethics of distribution. The problem takes the form of several “calibration dilemmas,” in which intuitively reasonable aversion to small-stakes inequalities requires leading theories of distribution to recommend intuitively unreasonable aversion to large-stakes inequalities. We first lay out a series of such dilemmas for prioritarian theories. We then consider a widely endorsed family of egalitarian views and show that they are subject to even more forceful calibration dilemmas than prioritarian theories. Finally, we show that our results challenge common utilitarian accounts of the badness of inequalities in resources

Land: Its Organisation and Management at Norse Hofstaðir

Land, its organisation and management as well as its intrinsic quality are little understood aspects of the settlement process in Iceland. Yet an understanding of the concept and significance of land is vital if we are to recognise the way in which environmental resources were used to create and maintain social structures, the role of management decisions in setting new directions of environmental change, and the adoption and adaptation of land management strategies to sustain food production. Organisation of land was needed to ensure the requirements of grazing domestic livestock (dominantly sheep, cattle and cows) and access to fuel resources were met in order to provide foundations for subsistence and local economies

Identifying affective personality profiles: A latent profile analysis of the Affective Neuroscience Personality Scales

Based on evolutionary theory, a recent model in affective neuroscience delineated six emotional brain systems at the core of human personality: SEEKING, CARING, PLAYFULNESS, FEAR, ANGER, SADNESS. The Affective Neuroscience Personality Scales (ANPS) assess their functioning. Using a person-centred approach of the ANPS, this study: (i) examined the existence of latent personality profiles, (ii) studied their gender invariance, (iii) assessed their longitudinal (4 years) stability, and (iv) explored how they relate to several intrapersonal, interpersonal, and emotion regulation skills. Latent Profile Analysis in 2 samples (Canadian, longitudinal, N = 520; French, cross-sectional, N = 830) found that, qualitatively, 3 profiles characterized both populations and genders, with one distinction for the second profile where the French women endorsed slightly higher and lower scores for, respectively, the negative and positive emotions. Whilst not being quantitatively similar across genders, the personality profiles remained consistent across time in the longitudinal sample. Associations between profiles and intrapersonal (e.g. depression), interpersonal (e.g. empathy), and emotion regulation skills measures (e.g. emotional intelligence) offered concurrent validity evidence. This person centred approach to ANPS offers a holistic and parsimonious way to study affective personality dimensions. It opens promising avenues for future studies on the predictive value of ANPS profiles, and for personality-targeted interventions

Harsh parenting practices mediate the association between parent affective profiles and child adjustment outcomes:Differential associations for mothers and fathers

Children’s early emotional environment strongly influences their later behavioural development. Yet, besides maternal depression, limited knowledge exists about the effect of other emotions and the role of fathers. Using 290 triads (mother/father/child), we investigated how positive (SEEKING, CARING, PLAYFULNESS) and negative (FEAR, ANGER, SADNESS) dimensions of mothers’ and fathers’ affectivity relate to their offspring’s externalizing and internalizing behaviours directly as well as indirectly via parenting practices. Parental variables were measured when children were 4 years old and children’s behaviours were measured at 8 years of age. Latent Profile Analysis identified three parental affective profiles: low negative emotions, balanced, and high emotional. Structural equation models showed that, for boys, mothers’ low negative emotions and high emotional profiles predicted later internalizing behaviours (direct effect; β = −0.21 and β = 0.23), while fathers’ low negative emotions profile predicted externalizing behaviours indirectly (β = −0.10). For girls, mothers’ profiles (low negative emotions and high emotional) predicted both internalizing (β = −0.04 and β = 0.07) and externalizing (β = −0.05 and β = 0.09) behaviours indirectly, but no effects of fathers’ profiles were found. Mothers’ and fathers’ affective profiles contributed to the behavioural development of their offspring in different ways, according to the type of behaviour (internalizing or externalizing) and the child’s sex. These findings may help in tailoring existing parenting interventions on affective profiles, thus enhancing their efficacy

The mediating role of adolescents’ loneliness and social withdrawal in the association between maternal depressive symptoms and suicidality in adolescence: A 20-year population-based study

This is the final version. Available on open access from Cambridge University Press via the DOI in this recordWe examined whether adolescents’ loneliness and social withdrawal mediated the association between maternal depressive symptoms and adolescent suicidality. Secondary analyses on the Québec Longitudinal Study of Child Development data was conducted (n= 1,623). Each mother completed the Centre for Epidemiologic Studies Depression Scale (at child age’s 5 months, 1.5, 3.5, 5, and 7 years). Adolescent’s social withdrawal (adolescent, father, and teacher reported at 10, 12, and 13 years) and loneliness (adolescent reported at 10, 12, and 13 years), were assessed using items from the Social Behavior Questionnaire and the Loneliness and Social Satisfaction Questionnaire, respectively. Adolescents completed self-reports to assess suicidal thoughts and attempts at 13, 15, 17, and 20 years. Children of mothers with higher levels of maternal depressive symptoms had an increased risk for suicidality (OR = 1.15, 95% CI: 1.03-1.28). Loneliness explained sixteen percent of the total effect of maternal depressive symptoms on adolescent suicidality (indirect effect OR = 1.02, 95% CI: 1.00-1.04). There was no indirect effect of maternal depressive symptoms on adolescent suicidal outcomes via social withdrawal (indirect effect OR = 1.00, 95% CI: .99-1.02). Interventions that target loneliness may be beneficial for decreasing the risk for suicidality among adolescents of mothers with depressive symptoms