Life-course leisure-time physical activity trajectories in relation to health-related behaviors in adulthood: the Cardiovascular Risk in Young Finns study.
Life-course leisure-time physical activity trajectories in relation to health-related behaviors in adulthood: the Cardiovascular Risk in Young Finns study.
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DOI：
10.1186/s12889-021-10554-w
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发表时间：
2021-03-19
影响因子：
4.5
通讯作者：
Tammelin TH
中科院分区：
文献类型：
--
作者：
Lounassalo I;Hirvensalo M;Palomäki S;Salin K;Tolvanen A;Pahkala K;Rovio S;Fogelholm M;Yang X;Hutri-Kähönen N;Raitakari OT;Tammelin TH
关于休闲时间身体活动（LTPA）是否促进个体采用多种健康行为的证据仍然很少。本研究调查了从童年到成年的不同纵向LTPA轨迹与饮食、屏幕时间、吸烟、酗酒、睡眠困难和成年后睡眠时间的关系。数据来自芬兰青年心血管风险研究。1980年受试者年龄为9-18岁（N = 3553, 51%为女性），2011年最新随访时年龄为33-49岁。利用潜在剖面分析确定LTPA轨迹。通过使用Bolck-Croon-Hagenaars方法，分别研究了女性和男性在LTPA轨迹中自我报告的健康相关行为的差异。模型根据年龄、体重指数、受教育程度、婚姻状况、总能量摄入和之前相应的行为进行调整。持续运动，持续低运动，减少和增加运动的轨迹在两性中都被确定，女性则有额外的不运动轨迹。在用上述协变量调整模型后，不运动女性的饮食比其他轨迹的女性更不健康（p < 0.01；效应量(ES) > 0.50）。活动量低的男性比活动量持续增加的男性饮食更不健康（p < 0.01; ES < 0.50）。与不运动和低运动的同龄人相比，运动强度越高的男性和女性吸烟频率越低（p < 0.01; ES > 0.20），运动强度越高的男性吸烟频率越低（p < 0.05; ES > 0.20）。活动量增加的男性报告的屏幕时间低于活动量低的男性（p < 0.001; ES > 0.50）和持续活动量高的男性（p < 0.05; ES > 0.20）。与不运动（p < 0.001; ES > 0.80）和低运动（p < 0.05; ES > 0.50和>分别0.80）的女性相比，越来越频繁和持续运动的女性报告的睡眠困难更少。无论男女，睡眠时间和酗酒都与LTPA轨迹无关，男性的睡眠困难和女性的屏幕时间也无关。不仅长期较高的LTPA，而且儿童期/青春期后LTPA的增加趋势与更健康的饮食和更低的吸烟频率有关，女性睡眠困难较少，越来越活跃的男性屏幕时间较短。不运动和低运动与成年后几种不健康行为的积累有关。这种关联在女性中更强。在线版本包含补充材料，可在10.1186/s12889-021-10554-w获得。
Evidence on whether leisure-time physical activity (LTPA) facilitates individuals’ adoption of multiple healthy behaviors remains scarce. This study investigated the associations of diverse longitudinal LTPA trajectories from childhood to adulthood with diet, screen time, smoking, binge drinking, sleep difficulties, and sleep duration in adulthood. Data were drawn from the Cardiovascular Risk in Young Finns Study. Participants were aged 9–18 years (N = 3553; 51% females) in 1980 and 33–49 years at the latest follow-up in 2011. The LTPA trajectories were identified using a latent profile analysis. Differences in self-reported health-related behaviors across the LTPA trajectories were studied separately for women and men by using the Bolck-Croon-Hagenaars approach. Models were adjusted for age, body mass index, education level, marital status, total energy intake and previous corresponding behaviors. Persistently active, persistently low-active, decreasingly and increasingly active trajectories were identified in both genders and an additional inactive trajectory for women. After adjusting the models with the above-mentioned covariates, the inactive women had an unhealthier diet than the women in the other trajectories (p < 0.01; effect size (ES) > 0.50). The low-active men followed an unhealthier diet than the persistently and increasingly active men (p < 0.01; ES > 0.50). Compared to their inactive and low-active peers, smoking frequency was lower in the increasingly active women and men (p < 0.01; ES > 0.20) and persistently active men (p < 0.05; ES > 0.20). The increasingly active men reported lower screen time than the low-active (p < 0.001; ES > 0.50) and persistently active (p < 0.05; ES > 0.20) men. The increasingly and persistently active women reported fewer sleep difficulties than the inactive (p < 0.001; ES > 0.80) and low-active (p < 0.05; ES > 0.50 and > 0.80, respectively) women. Sleep duration and binge drinking were not associated with the LTPA trajectories in either gender, nor were sleep difficulties in men and screen time in women. Not only persistently higher LTPA but also an increasing tendency to engage in LTPA after childhood/adolescence were associated with healthier diet and lower smoking frequency in both genders, having less sleep difficulties in women and lower screen time in increasingly active men. Inactivity and low activity were associated with the accumulation of several unhealthy behaviors in adulthood. Associations were stronger in women. The online version contains supplementary material available at 10.1186/s12889-021-10554-w.
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影响因子：
3.7
作者：
Chau JY;Grunseit AC;Chey T;Stamatakis E;Brown WJ;Matthews CE;Bauman AE;van der Ploeg HP
通讯作者：
van der Ploeg HP
影响因子：
50
作者：
Foster, Hatnish M. E.;Celis-Morales, Carlos A.;Mair, Frances S.
通讯作者：
Mair, Frances S.
影响因子：
4.1
作者：
Hirshkowitz, Max;Whiton, Kaitlyn;Hillard, Paula J. Adams
通讯作者：
Hillard, Paula J. Adams
影响因子：
5.1
作者：
Dutton, Gareth R.;Napolitano, Melissa A.;Marcus, Bess H.
通讯作者：
Marcus, Bess H.
DOI：
10.1186/s12966-015-0257-6
发表时间：
2015-07-15
期刊：
The international journal of behavioral nutrition and physical activity
影响因子：
--
作者：
Ashton LM;Hutchesson MJ;Rollo ME;Morgan PJ;Thompson DI;Collins CE
通讯作者：
Collins CE