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Impact of Acculturation and Acculturative Stress on Diet and Body Weight among International Students Moving from China to the United States

2017· article· en· W3159843087 on OpenAlexaboutno aff
Xiaoyu Zhang, James Colee, Wendy J. Dahl, Nikolay Bliznyuk, Chun‐Chung Choi, Zainab Alyousif, Changjie Xu, Anne Elizabeth Mathews

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldNursing
TopicNutrition, Health and Food Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsAcculturationMedicineObesityAnthropometryChinaBody mass indexEnvironmental healthDemographyGerontologyInternal medicineGeographyImmigration

Abstract

fetched live from OpenAlex

Objective To explore the impact of acculturation and acculturative stress on dietary intake, dietary behaviors, and body weight among international students in their sojourning experience from China to the United States. Methods This prospective observational study was conducted between August and December 2016 at a southeastern US university. Ninety‐three Chinese university sojourning students (55 male and 38 female) were recruited into the study within their first month of arrival to the US. Upon enrollment, participants completed a series of questionnaires about their health behaviors in China and had their height and weight assessed. Anthropometric assessments and the same questionnaires were repeated in December with two additional questionnaires: the Vancouver Index of Acculturation and the Acculturative Stress Scale. Results Participants experienced a significant decrease in dietary fiber, whole grains and vegetables intake, with a significant increase of sugar, sugar‐sweetened beverages, dairy and calcium consumption when compared to reported intake in China. Chinese students decreased the frequency of eating takeout foods, but consumed convenience foods more frequently. Students that indicated a high degree of acculturation had less of a decrease in fiber (p<0.05), fruit (p<0.01) and vegetables (p<0.05) intake, but acculturation exacerbated the increase in sugar consumption (p<0.05). Students with higher acculturative stress reported a greater decrease in vegetable consumption (p<0.05), increased consumption of takeout foods (p<0.05) and skipped breakfast more frequently (p<0.05) in the US compared with those reporting lower acculturative stress. Using a hierarchical regression model, the interaction of acculturative stress and acculturation was significantly associated with the change of whole grain intake (p<0.05); specifically, as acculturative stress increased, students reporting high acculturation had a greater decrease in whole grain intake than those reporting low acculturation. There was a significant increase in body weight (1.03kg ± 0.35) among female subjects but no change among males. Conclusion This three‐month prospective study showed that Chinese international students had less healthy eating behaviors and dietary intake after moving to the US. Moreover, the impact of acculturation and acculturative stress on these health behaviors is complex. Findings from this study support the rationale for researchers and university administrators to provide supportive programs to reduce stress associated with acculturation and support healthy living for Chinese international students.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.359
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2017
Admission routes1
Has abstractyes

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