The gatekeeper: individual differences are key in the chain from perception to behaviour

A basic assumption in mainstream social cognition is that the path from perception to behaviour is often automatic and direct, as supported for example by several experimental studies showing that priming can lead directly to a congruent behaviour without any need of conscious awareness of the process. However, we argue that the priming of a goal or an object activates individual differences in automatic evaluations at the associative level that in turn are the key predictors of action (gatekeeper model). A study (n = 90) on the American stereotype is presented to support the model. The results show that individual differences of the American stereotype as assessed with the IAT predicts a relevant action (essay evaluation) but only under condition of priming. Broader implications for predictive validity of implicit measures are also discussed

Diet, functional performance and muscle quality of independent-living men and women aged 65-75 years

Age-related sarcopenia is a syndrome characterised by progressive decline in skeletal muscle mass and strength (von Haehling, Morley, & Anker, 2010). The European Working Group on Sarcopenia in Older People recommends the measurement of muscle mass and function as means of diagnosing sarcopenia (Cruz-Jentoft et al., 2010) since sole focus on measurement of muscle mass may be of limited value. The age-associated loss of muscle strength (Dynapenia) cannot be only explained by reductions in muscle size since reductions in strength are more rapid than reductions in muscle (Clark & Manini, 2012). Cawthon et al. (2014) developed cut points for appendicular lean mass (ALM) that would identify individuals with clinically significant weakness taking into account both ALM and strength. Since sarcopenia is a multifaceted syndrome with potentially modifiable factors such as dietary intakes, the aim of this pilot study was to explore the interrelationships between dietary intakes, ALM, and strength. Twenty-five healthy older adults including both female (n=15, age: 68.8 ± 2.9 years) and male (n =10, age 69.5 ± 2.5 years) participants completed a 7-day diet diary before having their handgrip strength and body composition (dual energy X-ray absorptiometry) measured. Males with ALM<19.75 kg and females with ALM<15.02 kg were defined as having low lean muscle mass, whilst cut points of <30 kg and <20 kg (Campbell & Vallis, 2014) were used to identify males and females with low strength. Participants received guidance on recording food and drink by household measures. Energy expenditure was calculated using the World Health Organization/Food and Agriculture Organization equation (Frankenfield, Roth-Yousey, & Compher, 2005) for resting energy expenditure and an activity factor of 1.5. Forty percent (40%) of the females displayed low muscle strength while their male counterparts were all above the 30 kg cut point. ALM was 25.6±3.7 and 15.9±1.7 kg for males and females respectively. Twenty-seven percent (27%) of the females were below the cut point for low lean mass whilst males were all above the equivalent cut point. Energy intake (EI) was 1753±366 kcal for males and 1376±270 kcal for females corresponding to an EI deficit of 27.8±21.7 % and 27.7±6 % for males and females respectively. EI was significantly (P<0.05) lower than recommended EI. Protein intake was 0.97±0.3 g·kg·d-1 for the males and 0.95±0.2 g·kg·d-1 for the females representing 18.8±3.1 and 17.8±2.4 % of EI for males and females respectively. Our findings suggest that females in early retirement years are at greater risk of sarcopenia and dynapenia than their male counterparts. Inadequate energy intake and protein consumption which was below current research led recommendations of 20 % suggest that females may benefit from dietary interventions that would address energy and protein deficits. References Campbell, T. M., & Vallis, L. A. (2014). Predicting fat-free mass index and sarcopenia in assisted-living older adults. Age (Dordr), 36(4), 9674. doi: 10.1007/s11357-014-9674-8 Cawthon, P. M., Peters, K. W., Shardell, M. D., McLean, R. R., Dam, T.-T. L., Kenny, A. M., . . . Guralnik, J. M. (2014). Cutpoints for low appendicular lean mass that identify older adults with clinically significant weakness. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 69(5), 567-575. Clark, B. C., & Manini, T. M. (2012). What is dynapenia? Nutrition, 28(5), 495-503. doi: 10.1016/j.nut.2011.12.002 Cruz-Jentoft, A. J., Baeyens, J. P., Bauer, J. M., Boirie, Y., Cederholm, T., Landi, F., . . . European Working Group on Sarcopenia in Older, P. (2010). Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing, 39(4), 412-423. doi: 10.1093/ageing/afq034 Frankenfield, D., Roth-Yousey, L., & Compher, C. (2005). Comparison of predictive equations for resting metabolic rate in healthy nonobese and obese adults: a systematic review. J Am Diet Assoc, 105(5), 775-789. doi: 10.1016/j.jada.2005.02.005 Morley, J. E. (2008). Sarcopenia: diagnosis and treatment. J Nutr Health Aging, 12(7), 452-456. von Haehling, S., Morley, J. E., & Anker, S. D. (2010). An overview of sarcopenia: facts and numbers on prevalence and clinical impact. J Cachexia Sarcopenia Muscle, 1(2), 129-133. doi: 10.1007/s13539-010-0014-

Comparison of residual salivary fluoride retention using amine fluoride toothpastes in caries-free and caries-prone children.

This was to compare the salivary fluoride levels following tooth brushing with amine fluoride toothpastes containing three different concentrations of F (250 ppm F, 500 ppm F and 1250 ppm F) and to evaluate the effect of rinsing with water on the oral fluoride levels up to 90 min.A double blind randomised six-arm crossover study was conducted with 32 child participants. Patients were divided into two groups depending on their caries experience with caries-free group (n = 17, mean age = 72.9 months) and caries-prone group (n = 15, mean age = 69.6 months, mean dmfs = 12.3). Each participant brushed their teeth with a smear of dentifrice containing (250 ppm, 500 ppm and 1250 ppm F toothpastes) for 60 s. After spitting out the dentifrice/saliva slurry, participants either rinsed with water or did not rinse at all. Samples of whole mixed unstimulated saliva were collected at 0 (baseline), 1, 15, 30, 45, 60 and 90 mins post-brushing/rinsing.After completing the study on residual fluoride concentration it was found that caries was not a significant variable (p = 0.567) while every other variable was (all p values 1000 ppm F concentration in children with an increased caries risk in addition to spitting excess toothpaste with no rinsing following brushing

Dispersion strengthening in vanadium microalloyed steels processed by simulated thin slab casting and direct charging. Part 2 - chemical characterisation of dispersion strengthening precipitates

The composition of the sub-15 nm particles in six related vanadium high strength low alloy steels, made by simulated thin slab direct charged casting, has been determined using electron energy loss spectroscopy (EELS). Such particles are considered to be responsible for dispersion hardening. For the first time, particles down to 4 nm in size have had their composition fully determined. In all the steels, the particles were nitrogen and vanadium rich and possibly slightly sub-stoichiometric carbonitrides. Equilibrium thermodynamics predicted much higher carbon to metal atomic ratios than observed in all cases so that kinetics and mechanical deformation clearly control the precipitation process. Thus it is important to formulate the steel with this in mind

Self-control in decision-making involves modulation of the vmPFC valuation system

Every day, individuals make dozens of choices between an alternative with higher overall value and a more tempting but ultimately inferior option. Optimal decision-making requires self-control. We propose two hypotheses about the neurobiology of self-control: (i) Goal-directed decisions have their basis in a common value signal encoded in ventromedial prefrontal cortex (vmPFC), and (ii) exercising self-control involves the modulation of this value signal by dorsolateral prefrontal cortex (DLPFC). We used functional magnetic resonance imaging to monitor brain activity while dieters engaged in real decisions about food consumption. Activity in vmPFC was correlated with goal values regardless of the amount of self-control. It incorporated both taste and health in self-controllers but only taste in non–self-controllers. Activity in DLPFC increased when subjects exercised self-control and correlated with activity in vmPFC