{"doi":"10.1177/0031512520983082","title":"Eating Behavior of Brazilian College Students: Influences of Lifestyle, Negative Affectivity, and Personal Characteristics","abstract":"<jats:p>In this study we proposed to estimate the impact of lifestyle, negative affectivity, and college students’ personal characteristics on eating behavior. We aimed to verify that negative affectivity moderates the relationship between lifestyle and eating behavior. We assessed eating behaviors of cognitive restraint (CR), uncontrolled eating (UE), and emotional eating (EE)) with the Three-Factor Eating Questionnaire-18. We assessed lifestyle with the Individual Lifestyle Profile, and we assessed negative affectivity with the Depression, Anxiety and Stress Scale-21. We constructed and tested (at p &lt; .05) a hypothetical causal structural model that considered global (second-order) and specific (first-order) lifestyle components, negative affectivity and sample characteristics for each eating behavior dimension. Participants were 1,109 college students ( M age = 20.9, SD = 2.7 years; 65.7% females). We found significant impacts of lifestyle second-order components on negative affectivity (β = −0.57–0.19; p &lt; 0.001–0.01) in all models. Physical and psychological lifestyle components impacted directly only on CR (β=−0.32–0.81; p &lt; 0.001). Negative affectivity impacted UE and EE (β = 0.23–0.30; p &lt; 0.001). For global models, we found no mediation pathways between lifestyle and CR or UE. For specific models, negative affectivity was a mediator between stress management and UE (β=−0.07; p &lt; 0.001). Negative affectivity also mediated the relationship between thoughts of dropping an undergraduate course and UE and EE (β = 0.06–0.08; p &lt; 0.001). Participant sex and weight impacted all eating behavior dimensions (β = 0.08–0.34; p &lt; 0.001–0.01). Age was significant for UE and EE (β=−0,14– −0.09; p &lt; 0.001–0.01). Economic stratum influenced only CR (β = 0.08; p = 0.01). In sum, participants’ lifestyle, negative emotions and personal characteristics were all relevant for eating behavior assessment.</jats:p>","journal":"Perceptual and Motor Skills","year":2021,"id":624567,"datarank":0.4335557636844247,"base_score":2.8903717578961645,"endowment":2.8903717578961645,"self_citation_contribution":0.4335557636844247,"citation_network_contribution":0.0,"self_endowment_contribution":0.4335557636844247,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":17,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1614573,"name":"Wanderson R. da Silva","orcid":"0000-0001-8897-8772","position":1,"is_corresponding":false},{"id":1614574,"name":"João Marôco","orcid":null,"position":2,"is_corresponding":false},{"id":1614575,"name":"Juliana A. D. B. Campos","orcid":"0000-0001-7123-5585","position":3,"is_corresponding":false},{"id":1614572,"name":"Bianca G. Martins","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Eating Behavior of Brazilian College Students: Influences of Lifestyle, Negative Affectivity, and Personal Characteristics","abstract":"<jats:p>In this study we proposed to estimate the impact of lifestyle, negative affectivity, and college students’ personal characteristics on eating behavior. We aimed to verify that negative affectivity moderates the relationship between lifestyle and eating behavior. We assessed eating behaviors of cognitive restraint (CR), uncontrolled eating (UE), and emotional eating (EE)) with the Three-Factor Eating Questionnaire-18. We assessed lifestyle with the Individual Lifestyle Profile, and we assessed negative affectivity with the Depression, Anxiety and Stress Scale-21. We constructed and tested (at p &lt; .05) a hypothetical causal structural model that considered global (second-order) and specific (first-order) lifestyle components, negative affectivity and sample characteristics for each eating behavior dimension. Participants were 1,109 college students ( M age = 20.9, SD = 2.7 years; 65.7% females). We found significant impacts of lifestyle second-order components on negative affectivity (β = −0.57–0.19; p &lt; 0.001–0.01) in all models. Physical and psychological lifestyle components impacted directly only on CR (β=−0.32–0.81; p &lt; 0.001). Negative affectivity impacted UE and EE (β = 0.23–0.30; p &lt; 0.001). For global models, we found no mediation pathways between lifestyle and CR or UE. For specific models, negative affectivity was a mediator between stress management and UE (β=−0.07; p &lt; 0.001). Negative affectivity also mediated the relationship between thoughts of dropping an undergraduate course and UE and EE (β = 0.06–0.08; p &lt; 0.001). Participant sex and weight impacted all eating behavior dimensions (β = 0.08–0.34; p &lt; 0.001–0.01). Age was significant for UE and EE (β=−0,14– −0.09; p &lt; 0.001–0.01). Economic stratum influenced only CR (β = 0.08; p = 0.01). In sum, participants’ lifestyle, negative emotions and personal characteristics were all relevant for eating behavior assessment.</jats:p>","is_dataset_classified":null,"base_score":2.8903717578961645,"endowment":2.8903717578961645,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"33375885","pmcid":null,"openalex_id":"https://openalex.org/W3115348942","authors":[],"funders":[],"total_grants":0,"fwci":0.9568,"citation_percentile":0.85221063,"influential_citations":0,"citation_trend":[{"year":2022,"count":7},{"year":2023,"count":4},{"year":2024,"count":4},{"year":2025,"count":2}],"oa_status":"green","license":"other-oa","oa_locations":[{"url":"http://hdl.handle.net/11449/209216","host_type":"repository"},{"url":"http://hdl.handle.net/11449/209216","host_type":"repository"},{"url":"https://journals.sagepub.com/doi/pdf/10.1177/0031512520983082","host_type":"publisher"},{"url":"https://journals.sagepub.com/doi/full-xml/10.1177/0031512520983082","host_type":"publisher"},{"url":"https://doi.org/10.1177/0031512520983082","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/33375885","host_type":"repository"}],"fields_of_study":["Eating Disorders and Behaviors","Psychological Well-being and Life Satisfaction","COVID-19 and Mental Health","Adult","Body Mass Index","Brazil","Emotions","Feeding Behavior","Female","Humans","Life Style","Male","Students","Surveys and Questionnaires","Young Adult"],"mesh_terms":["Adult","Brazil","Emotions","Feeding Behavior","Female","Humans","Life Style","Male","Surveys and Questionnaires","Students","Body Mass Index","Young Adult"],"keywords":["Negative affectivity","Positive affectivity","Psychology","Mediation","Clinical psychology","Structural equation modeling","Emotional eating","Eating behavior","Developmental psychology","Anxiety","Medicine","Obesity","Internal medicine","Psychiatry","Students","Psychometrics","Psychological stress","Lifestyle"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-04T04:09:03.339776Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}