On the Concordance of Romantic and Sexual Feelings and Identity Among University Students in Taiwan

The degree to which romantic and sexual feelings correspond to one's sexual identity may signify how a person comes to embrace a specific sexual identity. People who endorse an essentialist perspective may expect to see a high degree of concordance between feelings and identity, and a lack of concordance may be associated with negative consequences. People who endorse a social constructionist perspective may view sexual identity as constructed in situ; a lack of concordance is inevitable and may not be associated with negative consequences. This research tests the levels of concordance of feelings and identity by comparing those with and without romantic and sexual feelings using risk ratios and odds ratios. A representative sample of college students in Taiwan was recruited (N = 3882, with 2440 females and 2988 who identified as heterosexual). The findings suggest that (1) people's romantic and sexual feelings largely correspond to their sexual identity, with all risk ratios and odds ratios higher than 1; (2) the concordance was at its lowest level among those with different-sex feelings; (3) gender differences in concordance were trivial; (4) individuals who were questioning their identity were the least clear about what they expect and want in intimate relationships; and (5) no general negative consequences in intimate relationships were observed among discordant/branched individuals. Implications regarding romantic and sexual feelings, sexual identity, and intimate relationships are further discussed.

Barriers to Building More Effective Treatments: Negative Interactions Amongst Smoking Intervention Components

Meaningfully improved mental and behavioral health treatment is an unrealized dream. Across three factorial experiments, inferential tests in prior studies showed a pattern of negative interactions suggesting that better clinical outcomes are obtained when participants receive fewer rather than more intervention components. Further, relatively few significant main effects were found in these experiments. Modeling suggested that negative interactions amongst components may account for these patterns. This paper evaluates factors that may contribute to such declining benefit: increased attentional or effort burden; components that produce their effects via the same capacity limited mechanisms, making their effects subadditive; and a tipping point phenomenon in which those near a hypothesized "tipping point" for change will benefit markedly from weak intervention while those far from the tipping point will benefit little from even strong intervention. New research should explore factors that cause negative interactions amongst components and constrain the development of more effective treatments.

Breeding Brown Pelicans Improve Foraging Performance as Energetic Needs Rise

Optimal foraging theory states that animals should maximize resource acquisition rates with respect to energy expenditure, which may involve alteration of strategies in response to changes in resource availability and energetic need. However, field-based studies of changes in foraging behavior at fine spatial and temporal scales are rare, particularly among species that feed on highly mobile prey across broad landscapes. To derive information on changes in foraging behavior of breeding brown pelicans (Pelecanus occidentalis) over time, we used GPS telemetry and distribution models of their dominant prey species to relate bird movements to changes in foraging habitat quality in the northern Gulf of Mexico. Over the course of each breeding season, pelican cohorts began by foraging in suboptimal habitats relative to the availability of high-quality patches, but exhibited a marked increase in foraging habitat quality over time that outpaced overall habitat improvement trends across the study site. These findings, which are consistent with adjustment of foraging patch use in response to increased energetic need, highlight the degree to which animal populations can optimize their foraging behaviors in the context of uncertain and dynamic resource availability, and provide an improved understanding of how landscape-level features can impact behavior.