{"doi":"10.21638/spbu16.2022.405","title":"Multi-level health indicators as predictors of students’ subjective well-being experience","abstract":"The subjective well-being as an integral experience of health state is a multidimensional phenomenon. The intrapersonal, social and environmental levels of subjective well-being were distinguished. The aim of the study was to determine predictors of subjective well-being of students. 850 students of different courses of St Petersburg and Novosibirsk universities took part in the study. The screening techniques MHC-SF (C.Keyes) and test of resilience (D.Leont’ev and E.Rasskazova), Scale of subjective well-being (C.Ryff), Measuring of prosocial tendencies (G.Carlo and B.A.Randall, adaptation of N.Kukhtova), Measuring of attitude to significant life situations (E.Korjova, A.Berdnikova), Scale of depression PHQ-9 and Scale of anxiety GAD-7 (Patient Health Questionnaire) were used. The results showed that students with a high level of subjective well-being rated all levels of health significantly higher than students with a low level of subjective well-being. The greatest influence on the subjective wellbeing is exerted by intrapersonal (endopsychic) predictors — resilience (β=0.322; p=0.000) and the presence of a goal in life (β=0.176; p=0.000). To a lesser extent, exopsychic predictors have an impact — attitude to a significant life situation and prosocial orientation, as well as self-assessment of mental health and presence of depression. The greatest contribution to the subjective well-being of intrapersonal characteristics confirms the leading role of personality in regulating the relationship between human and world. The data obtained make it possible to build a hierarchy of significant health resources for working out different health-saving programs.","journal":"Vestnik of Saint Petersburg University Psychology","year":2022,"id":290723,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.7953,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":973189,"name":"Elena K. Veselova","orcid":"0000-0002-5513-305X","position":1,"is_corresponding":false},{"id":973190,"name":"Olga V. Rudykhina","orcid":"0000-0002-8207-4016","position":2,"is_corresponding":false},{"id":973606,"name":"Elena Korjova","orcid":null,"position":0,"is_corresponding":true}],"reference_count":19,"raw_metadata":null,"created_at":"2026-07-19T00:30:30.639224Z","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":[]}