Keyness and Collocations of Therapeutic Rupture Types: A Pilot Study

This study was designed to examine the therapeutic alliance and specific rupture types that counselors experience in a counseling session by employing a cross sectional analysis of a linguistic corpus created from transcriptions of mock counseling sessions. A corpus linguistic program called #Lancsbox 6.0 was used to analyze the collocates of the top words found in therapeutic rupture types. Results of this study show that the word “just,” which was often used as part of a less direct filler expression, was the most frequent word in the confrontation rupture corpus as well as a top five word in the withdrawal and mixed rupture corpuses. Regarding the withdrawal rupture corpus, the node word “know,” a cognitive-oriented token that could create emotional distance, had four high intensity words (collocates), two of which (“I” and “you”) were shared with a confrontation type corpus. Regarding the mixed rupture corpus, the most common word “like” was often used as a preposition and was implicated in low empathy encounters and did not appear as a collocation in the confrontation or withdrawal rupture collocation analysis. Implications for both counseling and research are discussed.

Association of dietary patterns with obesity and metabolically healthy obesity phenotype in Chinese population: a cross-sectional analysis of China Multi-Ethnic Cohort Study

Metabolically healthy obesity (MHO) might be an alternative valuable target in obesity treatment. We aimed to assess whether alternative Mediterranean (aMED) diet and Dietary Approaches to Stop Hypertension (DASH) diet were favorably associated with obesity and MHO phenotype in a Chinese Multi-Ethnic population. We conducted this cross-sectional analysis using the baseline data of the China Multi-Ethnic Cohort (CMEC) study that enrolled 99 556 participants from seven diverse ethnic groups. Participants with self-reported cardiometabolic diseases were excluded to eliminate possible reverse causality. Marginal structural logistic models were used to estimate the associations, with confounders determined by directed acyclic graph (DAG). Among 65 699 included participants, 11.2% were with obesity. MHO phenotype was present in 5.7% of total population and 52.7% of population with obesity. Compared with the lowest quintile, the highest quintile of DASH diet score had 23% decreased odds of obesity (OR = 0.77, 95% CI: 0.71-0.83, Ptrend <0.001), and 27% increased odds of MHO (OR = 1.27, 95% CI: 1.10-1.48, Ptrend =0.001) in population with obesity. However, aMED diet showed no obvious favorable associations. Further adjusting for BMI did not change the associations between diet scores and MHO. Results were robust to various sensitivity analyses. In conclusion, DASH diet rather than aMED diet is associated with reduced risk of obesity and presents BMI-independent metabolic benefits in this large population-based study. Recommendation for adhering to DASH diet may benefit the prevention of obesity and related metabolic disorders in Chinese population.