Work Characteristics and Personal Social Support as Determinants of Subjective Well-Being
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{"title"=>"Work characteristics and personal social support as determinants of subjective well-being", "type"=>"journal", "authors"=>[{"first_name"=>"Stephen A.", "last_name"=>"Stansfeld", "scopus_author_id"=>"55666438900"}, {"first_name"=>"Martin J.", "last_name"=>"Shipley", "scopus_author_id"=>"7103265845"}, {"first_name"=>"Jenny", "last_name"=>"Head", "scopus_author_id"=>"7202619429"}, {"first_name"=>"Rebecca", "last_name"=>"Fuhrer", "scopus_author_id"=>"7005898669"}, {"first_name"=>"Mika", "last_name"=>"Kivimaki", "scopus_author_id"=>"7004391239"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"24260545", "doi"=>"10.1371/journal.pone.0081115", "sgr"=>"84894134006", "isbn"=>"1932-6203", "scopus"=>"2-s2.0-84894134006", "issn"=>"19326203", "pui"=>"372407392"}, "id"=>"033c324c-c38b-36bc-8594-55a6feb16c96", "abstract"=>"BACKGROUND: Well-being is an important health outcome and a potential national indicator of policy success. There is a need for longitudinal epidemiological surveys to understand determinants of well-being. This study examines the role of personal social support and psychosocial work environment as predictors of well-being in an occupational cohort study.\\n\\nMETHODS: Social support and work characteristics were measured by questionnaire in 5182 United Kingdom civil servants from phase 1 of the Whitehall II study and were used to predict subjective well-being assessed using the Affect Balance Scale (range -15 to 15, SD = 4.2) at phase 2. External assessments of job control and demands were provided by personnel managers.\\n\\nRESULTS: Higher levels of well-being were predicted by high levels of confiding/emotional support (difference in mean from the reference group with low levels of confiding/emotional support  =  0.63, 95%CI 0.38-0.89, p(trend)<0.001), high control at work (0.57, 95%CI 0.31-0.83, p(trend)<0.001; reference low control) and low levels of job strain (0.60, 95%CI 0.31-0.88; reference high job strain), after adjusting for a range of confounding factors and affect balance score at baseline. Higher externally assessed work pace was also associated with greater well-being.\\n\\nCONCLUSIONS: Our results suggest that the psychosocial work environment and personal relationships have independent effects on subjective well-being. Policies designed to increase national well-being should take account of the quality of working conditions and factors that facilitate positive personal relationships. Policies designed to improve workplaces should focus not only on minimising negative aspects of work but also on increasing the positive aspects of work.", "link"=>"http://www.mendeley.com/research/work-characteristics-personal-social-support-determinants-subjective-wellbeing", "reader_count"=>68, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>3, "Librarian"=>1, "Student > Doctoral Student"=>4, "Researcher"=>8, "Student > Ph. D. Student"=>15, "Student > Postgraduate"=>3, "Student > Master"=>17, "Other"=>4, "Student > Bachelor"=>4, "Lecturer"=>3, "Professor"=>5}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>3, "Librarian"=>1, "Student > Doctoral Student"=>4, "Researcher"=>8, "Student > Ph. D. Student"=>15, "Student > Postgraduate"=>3, "Student > Master"=>17, "Other"=>4, "Student > Bachelor"=>4, "Lecturer"=>3, "Professor"=>5}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Nursing and Health Professions"=>2, "Medicine and Dentistry"=>11, "Arts and Humanities"=>1, "Business, Management and Accounting"=>3, "Sports and Recreations"=>2, "Psychology"=>26, "Social Sciences"=>17, "Computer Science"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>11}, "Social Sciences"=>{"Social Sciences"=>17}, "Sports and Recreations"=>{"Sports and Recreations"=>2}, "Psychology"=>{"Psychology"=>26}, "Computer Science"=>{"Computer Science"=>2}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>3}, "Unspecified"=>{"Unspecified"=>4}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"United States"=>1, "Finland"=>1, "Brazil"=>1, "Denmark"=>1, "Portugal"=>1, "Indonesia"=>1, "Spain"=>1}, "group_count"=>4}

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/1288232"], "description"=>"#<p>Means are adjusted for age and sex.</p><p>Model 0  =  Adjusted for age and sex.</p><p>Model 1  =  Adjusted for age, sex, employment grade, education, ethnic group and marital status.</p><p>Model 2  =  Adjusted as for Model 1 + overall health status (physical activity and self-rated health).</p><p>Model 3  =  Adjusted as for Model 2 + life events and satisfaction with standard of living, present accommodation and leisure time.</p><p>Model 4  =  Adjusted as for Model 3 + affect balance score at Phase 1.</p>", "links"=>[], "tags"=>["psychosocial"], "article_id"=>856638, "categories"=>["Biological Sciences", "Science Policy", "Earth and Environmental Sciences"], "users"=>["Stephen A. Stansfeld", "Martin J. Shipley", "Jenny Head", "Rebecca Fuhrer", "Mika Kivimäki"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0081115.t002", "stats"=>{"downloads"=>2, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_between_psychosocial_work_characteristics_measured_at_phase_1_and_affect_balance_score_measured_at_phase_2_/856638", "title"=>"Association between psychosocial work characteristics measured at phase 1 and affect balance score measured at phase 2.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-11-19 04:00:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/1288235", "https://ndownloader.figshare.com/files/1288236", "https://ndownloader.figshare.com/files/1288237", "https://ndownloader.figshare.com/files/1288238", "https://ndownloader.figshare.com/files/1288239", "https://ndownloader.figshare.com/files/1288240"], "description"=>"<div><p>Background</p><p>Well-being is an important health outcome and a potential national indicator of policy success. There is a need for longitudinal epidemiological surveys to understand determinants of well-being. This study examines the role of personal social support and psychosocial work environment as predictors of well-being in an occupational cohort study.</p><p>Methods</p><p>Social support and work characteristics were measured by questionnaire in 5182 United Kingdom civil servants from phase 1 of the Whitehall II study and were used to predict subjective well-being assessed using the Affect Balance Scale (range -15 to 15, SD = 4.2) at phase 2. External assessments of job control and demands were provided by personnel managers.</p><p>Results</p><p>Higher levels of well-being were predicted by high levels of confiding/emotional support (difference in mean from the reference group with low levels of confiding/emotional support  =  0.63, 95%CI 0.38–0.89, p<sub>trend</sub><0.001), high control at work (0.57, 95%CI 0.31–0.83, p<sub>trend</sub><0.001; reference low control) and low levels of job strain (0.60, 95%CI 0.31–0.88; reference high job strain), after adjusting for a range of confounding factors and affect balance score at baseline. Higher externally assessed work pace was also associated with greater well-being.</p><p>Conclusions</p><p>Our results suggest that the psychosocial work environment and personal relationships have independent effects on subjective well-being. Policies designed to increase national well-being should take account of the quality of working conditions and factors that facilitate positive personal relationships. Policies designed to improve workplaces should focus not only on minimising negative aspects of work but also on increasing the positive aspects of work.</p></div>", "links"=>[], "tags"=>["determinants", "subjective"], "article_id"=>856641, "categories"=>["Biological Sciences", "Science Policy", "Earth and Environmental Sciences"], "users"=>["Stephen A. Stansfeld", "Martin J. Shipley", "Jenny Head", "Rebecca Fuhrer", "Mika Kivimäki"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0081115.s001", "https://dx.doi.org/10.1371/journal.pone.0081115.s002", "https://dx.doi.org/10.1371/journal.pone.0081115.s003", "https://dx.doi.org/10.1371/journal.pone.0081115.s004", "https://dx.doi.org/10.1371/journal.pone.0081115.s005", "https://dx.doi.org/10.1371/journal.pone.0081115.s006"], "stats"=>{"downloads"=>5, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Work_Characteristics_and_Personal_Social_Support_as_Determinants_of_Subjective_Well_Being_/856641", "title"=>"Work Characteristics and Personal Social Support as Determinants of Subjective Well-Being", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-11-19 04:00:20"}
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Relative Metric

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