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Table 3 Beta coefficients from multiple regression for association of background variables with Avocation/Leisure activities, High Culture, Popular Culture, Vocation/Engagement and Burned Out.

From: Vocation and avocation: leisure activities correlate with professional engagement, but not burnout, in a cross-sectional survey of UK doctors

 

Avocation/Leisure activities

High culture

Popular culture

Vocation/Engagement

BurnedOut

Demographic measures

     

Year of qualification

-.046 (p = .019) [-.046]

-.076 (p < .001)[-.078]

.046 (p = .025) [.050]

.000 (p = .986) [-.026]

-.004 (p = .827) [.007]

Male

-.083 (p < .001) [ -.068]

.235 (p < .001)[.220]

-.270 (p < .001)[-.276]

.020 (p = .267) [.076]

.089 (p < .001)[.042]

Number of children

-.023 (p = .368) [-.152]

.035 (p = .165) [-.077]

-.116 (p < .001)[-.181]

.042 (p = .082) [.064]

-.047 (p = .035) [-.089]

Age of youngest child

.164 (p < .001)[.226]

.133 (p < .001)[.162]

. 099 (p < .001)[.177]

.025 (p = .299) [-.011]

.008 (p = .706) [. 082]

Work variables

     

On Specialist Register

.016 (p = .489) [-.004]

.001 (p = .978) [-.030]

.033 (p = .165) [.050]

.028 (p = .202) [.001]

-.045 (p = .021) [-.094]

On GP register

.030 (p = .266) [.015]

.015 (p = .563) [.035]

.035 (p = .207) [-.034]

.071 (p = .006)[.057]

.043 (p = .069) [.100]

Number of patients seen

.044 (p = .042) [.030]

-.001 (p = .958) [-.024]

.096 (p < .001)[. 110]

.123 (p < .001)[.150]

.027 (p = .155) [.097]

Sleep deprivation

.000 (p = .985) [-.008]

-.012 (p = .503) [-.042]

.022 (p = .239) [.063]

-.025 (p = .149) [-.048]

.154 (p < .001)[.277]

aWPC: Choice and independence

.014 (p = .454) [.078]

-.015 (p = .428) [.027]

.059 (p = .003) [.118]

.095 (p < .001)[.263]

-.097 (p < .001)[-.284]

aWPC: Workload

-.011 (p = .546) [-.018]

.006 (p = .740) [-.005]

-.035 (p = .063) [-.031]

.011 (p = .542) [-.021]

.130 (p < .001)[.300]

aWPC: Supportive-receptive

.025 (p = .157) [.047]

.012 (p = .500)[.038]

.032 (p = .086) [.027]

.066 (p < .001)[.194]

-.048 (p = .002) [-.237]

aWPL: Deep approach to work

.009 (p = .618) [.072]

.022 (p = .206) [.066]

-.023 (p = .207) [.031]

.141 (p < .001)[.255]

-.043 (p = .006) [-.072]

aWPL: Surface-rational

-.089 (p < .001)[-.122]

-.089 (p < .001)[-.119]

-.021 (p = .245) [-.036]

-.005 (p = .767) [-.025]

.022 (p = .135) [.047]

aWPL: Surface-disorganised

-.022 (p = .302) [-.032]

-.022 (p = .292)[-.036]

-.005 (p = .818) [.000]

.013 (p = .537) [-.114]

.035 (p = .058) [.241]

Personality measures

     

Big 5: Neuroticism

.003 (p = .887) [-.041]

-.030 (p = .157) [-.025]

.051 (p = .023) [-.041]

-.047 (p = .023) [-.251]

.326 (p < .001)[.559]

Big 5: Extraversion

.136 (p < .001)[.206]

.109 (p < .001)[.176]

.085 (p < .001)[.108]

.307 (p < .001)[.457]

-.108 (p < .001)[-.315]

Big 5: Openness to experience

.210 (p < .001) [.310]

.261 (p < .001)[.322]

-.047 (p = .016) [.053]

.042 (p = .018) [.156]

.044 (p = .006) [.001]

Big 5: Agreeableness

-.081 <.001)[.006]

-.055 (p = .004) [.067]

-.069 (p = .001)[-.115]

.023 (p = .228) [.145]

-.067 (p < .001)[-.220]

Big 5: Conscientiousness

.007 (p = .741) [.045]

.006 (p = .797) [.032]

.005 (p = .826) [.036]

.092 (p < .001) [.244]

-.020 (p = .314) [-.252]

Empathy: Fantasy

.227 (p < .001)[.295]

.187 (p < .001)[.297]

.133 (p < .001)[.071]

.020 (p = .271) [.027]

.019 (p = .238) [.066]

Empathy: Perspective-taking

-.007 (p = .710) [.090]

-.003 (p = .890) [.122]

-.010 (p = .602) [-.040]

.004 (p = .820) [.100]

-.026 (p = .123) [-.131]

Empathy: Empathic concern

-.019 (p = .286) [.052]

-.010 (p = .566) [.073]

-.020 (p = .240) [-.027]

.025 (p = .146) [.020]

.015 (p = .341) [.091]

Empathy: Personal distress

-.023 (p = .264) [-.096]

-.005 (p = .802) [-.038]

-.040 (p = .062) [-.135]

.030 (p = .131) [-.203]

-.009 (p = .622) [.236]

Masculinity

-.043 (p = .054) [-.013]

-.053 (p = .018) [-.082]

.007 (p = .766) [.130]

-.010 (p = .627) [.145]

.059 (p = .002) [-.135]

Self-esteem

.067 (p = .003) [.069]

.048 (p = .029) [.018]

.052 (p = .024) [.115]

.118 (p < .001)[.309]

-.149 (p < .001)[-.416]

  1. Note that in the multiple regression, all effects shown take into account all other background measures. For comparison, simple Pearson correlations with each background variable are shown in square brackets in each cell. Key: Bold: p < .05; Bold Underlined: p < .01); Bold Italicised: p < .001.