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Aims Unhealthy eating behavior is a serious health concern among secondary school students in Inner Mongolia. To predict their healthy food choices and devise methods of correcting unhealthy choices, we sought to confirm the cross-cultural validity of the theory of planned behavior among Inner Mongolian students. Materials and methods A cross-sectional study, conducted between November and December 2014. Overall, 3047 students were enrolled. We devised a questionnaire based on the theory of planned behavior to measure its components (intentions, attitudes, subjective norms, and perceived behavioral control) in relation to healthy food choices; we also assessed their current engagement in healthy food choices. Results A principal component analysis revealed high contribution rates for the components (69.32%–88.77%). A confirmatory factor analysis indicated that the components of the questionnaire had adequate model fit (goodness of fit index = 0.997, adjusted goodness of fit index = 0.984, comparative fit index = 0.998, and root mean square error of approximation = 0.049). Notably, data from participants within the suburbs did not support the theory of planned behavior construction. Several paths did not predict the hypothesis variables. However, attitudes toward healthy food choices strongly predicted behavioral intention (path coefficients 0.49–0.77, p Conclusion Our results support that the theory of planned behavior can apply to secondary school students in urban areas. Furthermore, attitudes towards healthy food choices were the best predictor of behavioral intentions to engage in such choices in Inner Mongolian students.

In motion-induced blindness (MIB), a target within rotating random dots is occasionally hidden from observers' consciousness during observation. In the present study, a red ring-like cue was centered on a target and presented immediately after observers reported subjective disappearance of the target in MIB (Experiment 1). The radius of the cue was systematically modulated. Observers quickly regained awareness of the disappeared object only after they were provided with a pinpoint cue of its location. We also found that a flickering cue at 1Hz hindered MIB when the radius of the cue was critically small (Experiment 2). Furthermore, abrupt onset of a small square was enough to regain awareness of the target (Experiment 3). Successful revival of the target with a small cue indicates that critical spatial distribution of visual attention determines what in the visual scene is included in visual awareness.

This study examined the subjective disappearance of a visual object induced by a neighboring flickering ring (Experiments 1 and 2), a set of four flickering dots (Experiment 3), and apparent motion (Experiment 4) as flickering flankers. Observers were asked to report whether a target disappeared during 10 s of stimulus presentation. We used the proportion of disappearance as a measure of performance. Interestingly, subjective disappearance was rarely observed when flickering flankers were presented with a separation of less than 0.5 degrees from the target. However, disappearance was observed when dynamic random-dot patterns were presented with a separation of less than 0.5 degrees from the target border (Experiment 5). Our results indicate that the flicker of flankers near the target disturbs target adaptation or attentional inhibition, causing persistent target representation in higher-order object selection, and resulting in non-disappearance of the target.

This study examined the involvement of second-order processing in the perception of transparency from texture. Stimuli consisted of two superimposed plaid patterns with two diagonal gratings defined by contrast modulation. We investigated the probability of reporting transparency (simultaneous percept of the two gratings) as functions of envelope frequency and either carrier frequency (Experiment 1) or carrier orientation (Experiment 2). Perception of transparency was more often with a large difference in carrier signals between the two gratings. Moreover, a lower envelope frequency was required for the perception of transparency. These results indicate that the mechanism responsible for texture transparency may tune to second-order structures that are differentiated in terms of first-order signals and that decomposition or integration of structures may be determined in terms of the difference of first-order signals between structures.