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Person‐related determinants of TV viewing and computer time in a cohort of young D utch adults: Who sits the most?
Author(s) -
Uijtdewilligen L.,
Singh A. S.,
Chinapaw M. J. M.,
Twisk J. W. R.,
Mechelen W.
Publication year - 2015
Publication title -
scandinavian journal of medicine and science in sports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.575
H-Index - 115
eISSN - 1600-0838
pISSN - 0905-7188
DOI - 10.1111/sms.12295
Subject(s) - young adult , personality , marital status , cohort , physical fitness , leisure time , aerobic exercise , coping (psychology) , psychology , medicine , gerontology , generalized estimating equation , demography , physical activity , clinical psychology , physical therapy , social psychology , population , environmental health , statistics , mathematics , sociology
We aimed to assess the associations of person‐related factors with leisure time television ( TV ) viewing and computer time among young adults. We analyzed self‐reported TV viewing (h/week) and leisure computer time (h/week) from 475 D utch young adults (47% male) who had participated in the A msterdam G rowth and H ealth L ongitudinal S tudy at the age of 32 and 36 years. Sociodemographic factors (i.e., marital and employment status), physical factors (i.e., skin folds, aerobic fitness, neuromotor fitness, back problems), psychological factors (i.e., problem‐ and emotion‐focused coping, personality), lifestyle (i.e., alcohol consumption, smoking, energy intake, physical activity), and self‐rated health (i.e., general health status, mild health complaints) were assessed. Univariable and multivariable generalized estimating equations were performed. Male gender, higher sum of skin folds, lower values of aerobic fitness, higher rigidity, higher self‐sufficiency/recalcitrance, and smoking were positively associated with TV time. Male gender, higher sum of skin folds, higher scores on self‐esteem, low energy intake, and a not so good general health status were significantly associated with higher computer time. Determinants of TV viewing and computer time were not identical, suggesting that both behaviors (a) have different at‐risk populations and (b) should be targeted differently.