Sociodemographic, behavioural and health factors associated with changes in older adults' TV viewing over 2 years.

Sociodemographic, behavioural and health factors associated with changes in older adults' TV viewing over 2 years.
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DOI:
10.1186/s12966-014-0102-3
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发表时间:
2014-08-15
期刊:
The international journal of behavioral nutrition and physical activity
影响因子:
--
通讯作者:
Hamer M
Hamer M
中科院分区:
其他
文献类型:
--
作者:
Gardner B;Iliffe S;Fox KR;Jefferis BJ;Hamer M

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在所有年龄段中,老年人看电视的时间最多,这是最常见的久坐行为之一。人们认为,老年人的这种久坐活动可能会导致身心功能、健康和福祉恶化。确定电视观看时间随时间增加的老年人的特征可能有助于针对最迫切需要的人群采取减少久坐行为的干预措施。然而,对电视观看相关因素的研究主要是横向的。这项研究采用前瞻性设计来描述两年随访期间电视观看的变化,并模拟与观察到的观看时间变化相关的社会人口、行为和健康因素。英国老龄化纵向研究是一组社区居住的老年人,对 6,090 名男性和女性老年人(平均年龄 64.9±8.9 岁)进行了为期两年的随访。在基线和随访时自我报告电视观看时间。根据基线电视观看时长(<2 小时/天、2 < 4 小时/天、4 < 6 小时/天、≥6 小时/天)对样本进行分类,并描述了每个类别观察到的观看时长变化的方向和程度。在基线时测量的社会人口、行为和健康变量(社会经济状况、抑郁症状、残疾、慢性病、体重指数、体力活动、吸烟)被输入回归模型,作为基线和随访之间电视观看时间变化的预测因子。自我报告的平均电视观看时间从基线时的 5.32±±4.08 小时/天增加到随访时的 5.53±±4.19 小时/天 (p<±0.001)。 49% 的参与者增加了电视观看时间(23% 的参与者增加了 60 分钟或更多),41% 的参与者减少了观看时间,10% 的参与者表示观看时间没有变化。随访时看电视的增加与较低的社会经济地位、抑郁症状、较高的体重指数、缺乏身体活动以及基线时吸烟有关。研究结果呼吁制定有效的行为改变干预措施,以应对老年人不看电视的现象增加,并指出可能需要优先考虑此类干预措施的亚群体。本文的在线版本 (doi:10.1186/s12966-014-0102-3) 包含补充材料,可供授权用户使用。
Of all age groups, older adults spend the most time watching TV, which is one of the most common sedentary behaviours. Such sedentary activity in older adulthood is thought to risk deterioration of physical and mental functioning, health and wellbeing. Identifying the characteristics of older adults whose TV viewing increases over time may help to target sedentary behaviour reduction interventions to those in most urgent need. Yet, studies of the factors associated with TV viewing have predominantly been cross-sectional. This study used a prospective design to describe changes in TV viewing over a two-year follow-up period, and to model socio-demographic, behavioural and health factors associated with observed changes in viewing time. A two-year follow-up of 6,090 male and female older adults (mean age 64.9 ± 8.9 years) was conducted in the English Longitudinal Study of Ageing, a cohort of community dwelling older adults. TV viewing time was self-reported at baseline and at follow-up. The sample was categorised according to baseline TV viewing duration (<2 hrs/d, 2 < 4 hrs/d, 4 < 6 hrs/d, ≥6 hrs/d), and the observed direction and extent of changes in viewing duration were described for each category. Socio-demographic, behavioural and health variables (socioeconomic status, depressive symptoms, disability, chronic illness, body mass index, physical activity, smoking), as measured at baseline, were entered into regression models as predictors of changes in TV viewing time between baseline and follow-up. Mean self-reported TV viewing time increased from 5.32 ± 4.08 hrs/d at baseline to 5.53 ± 4.19 hrs/d at follow-up (p < 0.001). Forty-nine per cent of participants increased their TV viewing (23% of all participants by 60 minutes or more), 41% decreased their viewing, and 10% reported no change in viewing duration. Increases in TV viewing at follow-up were associated with lower socioeconomic status, presence of depressive symptoms, higher BMI, physical inactivity, and being a smoker at baseline. Findings call for the development of effective behaviour change interventions to counter increases in inactive TV viewing among older adults, and point to subgroups who may need to be prioritised for such interventions. The online version of this article (doi:10.1186/s12966-014-0102-3) contains supplementary material, which is available to authorized users.
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