Acculturation and the Prevalence of Depression in Older Mexican Americans: Baseline Results of the Sacramento Area Latino Study on Aging

HTo determine the association between acculturation, immigration, and prevalence of depression in older Mexican Americans. DESIGN: Cross-sectional analysis from a cohort study. SETTING: Urban and rural counties of the Central Valley of Northern California. PARTICIPANTS: One thousand seven hundred and eighty-nine Latinos recruited from a population-based sample (85% Mexican Americans) with a mean age of 70.6 (range 60–100; standard deviation (SD) = 7.13); 58.2% were women. MEASUREMENTS: Depressive symptoms were assessed with the Center for Epidemiologic Studies—Depression scale (CES-D). Acculturation was measured with the Acculturation Rating Scale for Mexican Americans—II. Psychosocial, behavioral, and medical histories were also obtained. RESULTS: The prevalence of depression (CES-D ≥ 16) was 25.4%. Women were at greater risk (32.0%) than men (16.3%; male/female odds ratio (OR) = 2.43, 95% confidence interval (CI) = 1.90–3.09). The prevalence of depression was higher among immigrants (30.4%, OR = 1.70, 95% CI = 1.36–2.13), bicultural participants (24.2%, OR = 1.66, 95% CI = 1.24–2.24), and less-acculturated participants (36.1%, OR = 2.95, 95% CI = 2.22–3.93) compared with U.S.-born (20.5%) and more-acculturated groups (16.1%). When adjustments for education, income, psychosocial, behavioral, and health-problem factors were made, the least-acculturated participants were at significantly higher risk of depression than highly acculturated Mexican Americans (OR = 1.56, 95% CI = 1.06–2.31). CONCLUSIONS: These findings are consistent with previously reported estimates of a higher prevalence of depression for older Mexican Americans than non-Hispanic Caucasians and African Americans and are the first to report the prevalence and risk of depression for older U.S.-born and immigrant Mexican Americans. The high prevalence of depression of the least acculturated group may be related to cultural barriers encountered by immigrants and less-acculturated older Mexican Americans and to poorer health status.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/65541/1/j.1532-5415.2001.49186.x.pd

Participatory varietal selection of potato using the mother & baby trial design: A gender-responsive trainer’s guide.

This guide aims to provide step-by-step guidance on facilitating and documenting the PVS dynamics using the MBT design to select, and eventually release, potato varieties preferred by end-users that suit male and female farmers ’different needs, diverse agro-systems, and management practices, as well as traders ’and consumers’ preferences

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No abstract.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/55888/1/21016_ftp.pd

How do farm models compare when estimating greenhouse gas emissions from dairy cattle production?

The European Union Effort Sharing Regulation (ESR) will require a 30% reduction in greenhouse gas (GHG) emissions by 2030 compared with 2005 from the sectors not included in the European Emissions Trading Scheme, including agriculture. This will require the estimation of current and future emissions from agriculture, including dairy cattle production systems. Using a farm-scale model as part of a Tier 3 method for farm to national scales provides a more holistic and informative approach than IPCC (2006) Tier 2 but requires independent quality control. Comparing the results of using models to simulate a range of scenarios that explore an appropriate range of biophysical and management situations can support this process by providing a framework for placing model results in context. To assess the variation between models and the process of understanding differences, estimates of GHG emissions from four farm-scale models (DairyWise, FarmAC, HolosNor and SFARMMOD) were calculated for eight dairy farming scenarios within a factorial design consisting of two climates (cool/dry and warm/wet)×two soil types (sandy and clayey)×two feeding systems (grass only and grass/maize). The milk yield per cow, follower:cow ratio, manure management system, nitrogen (N) fertilisation and land area were standardised for all scenarios in order to associate the differences in the results with the model structure and function. Potential yield and application of available N in fertiliser and manure were specified separately for grass and maize. Significant differences between models were found in GHG emissions at the farm-scale and for most contributory sources, although there was no difference in the ranking of source magnitudes. The farm-scale GHG emissions, averaged over the four models, was 10.6 t carbon dioxide equivalents (CO2e)/ha per year, with a range of 1.9 t CO2e/ha per year. Even though key production characteristics were specified in the scenarios, there were still significant differences between models in the annual milk production per ha and the amounts of N fertiliser and concentrate feed imported. This was because the models differed in their description of biophysical responses and feedback mechanisms, and in the extent to which management functions were internalised. We conclude that comparing the results of different farm-scale models when applied to a range of scenarios would build confidence in their use in achieving ESR targets, justifying further investment in the development of a wider range of scenarios and software tools

Extreme value statistics and return intervals in long-range correlated uniform deviates

We study extremal statistics and return intervals in stationary long-range correlated sequences for which the underlying probability density function is bounded and uniform. The extremal statistics we consider e.g., maximum relative to minimum are such that the reference point from which the maximum is measured is itself a random quantity. We analytically calculate the limiting distributions for independent and identically distributed random variables, and use these as a reference point for correlated cases. The distributions are different from that of the maximum itself i.e., a Weibull distribution, reflecting the fact that the distribution of the reference point either dominates over or convolves with the distribution of the maximum. The functional form of the limiting distributions is unaffected by correlations, although the convergence is slower. We show that our findings can be directly generalized to a wide class of stochastic processes. We also analyze return interval distributions, and compare them to recent conjectures of their functional form

Singularity and consciousness: A neuropsychological contribution

none6siIn common sense experience based on introspection, consciousness is singular. There is only one ‘me’ and that is the one that is conscious. This means that ‘singularity’ is a defining aspect of ‘consciousness’. However, the three main theories of consciousness, Integrated Information, Global Workspace and Recurrent Processing theory, are generally not very clear on this issue. These theories have traditionally relied heavily on neuropsychological observations and have interpreted various disorders, such as anosognosia, neglect and split-brain as impairments in conscious awareness without any reference to ‘the singularity’. In this review, we will re-examine the theoretical implications of these impairments in conscious awareness and propose a new way how to conceptualize consciousness of singularity. We will argue that the subjective feeling of singularity can coexist with several disunified conscious experiences. Singularity awareness may only come into existence due to environmental response constraints. That is, perceptual, language, memory, attentional and motor processes may largely proceed unintegrated in parallel, whereas a sense of unity only arises when organisms need to respond coherently constrained by the affordances of the environment. Next, we examine from this perspective psychiatric disorders and psycho-active drugs. Finally, we present a first attempt to test this hypothesis with a resting state imaging experiment in a split-brain patient. The results suggest that there is substantial coherence of activation across the two hemispheres. These data show that a complete lesioning of the corpus callosum does not, in general, alter the resting state networks of the brain. Thus, we propose that we have separate systems in the brain that generate distributed conscious. The sense of singularity, the experience of a ‘Me-ness’, emerges in the interaction between the world This is an open access article under the terms of the Creative Commons Attribution-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited and no modifications or adaptations are made. and response-planning systems, and this leads to coherent activation in the different functional networks across the cortex.openHaan, Edward H. F.; Scholte, Huibert Steven; Pinto, Yair; Foschi, Nicoletta; Polonara, Gabriele; Fabri, MaraHaan, Edward H. F.; Scholte, Huibert Steven; Pinto, Yair; Foschi, Nicoletta; Polonara, Gabriele; Fabri, Mar