Effects of physical activity on bone mineral density increases in adolescent girls: a systematic review and meta-analysis

作者
Hao Zhang,Weiqiang Zhang,Jing Wang,Yongjian Zhao,Chenguang Li,Yan Zhang,Nannan Sha,Min Yao,Sheng Lü,Yongjun Wang,Bing Shu
出处
期刊:Gazzetta medica italiana. Archivio per le scienze mediche [Edizioni Minerva Medica]
卷期号:179 (11)
标识
DOI:10.23736/s0393-3660.19.04270-0
摘要

INTRODUCTION: Peak bone mineral density (BMD) is affected greatly during the adolescent years and is an important determinant of future fracture and osteoporosis risk. This systematic review aimed to evaluate the potential contributions of physical activity according to the volume of bone mineral density increase at various sites during different periods of adolescence derived from the published literature.EVIDENCE ACQUISITION: Studies on the effects of physical activity on BMD increases in adolescent girls were collected from PubMed, Embase, Web of Science, Clinical Trials, Springer Link, and Chinese databases. Altogether, 12 studies were included in the final analysis.EVIDENCE SYNTHESIS: For pubertal girls, the BMD of both lumbar vertebrae 2-4and femoral neck were significantly increased by physical activity. lumbar vertebrae 2-4 bone mineral density was increased by both low-moderate PA and moderate-high PA, with no significant difference between the moderate-high and low-moderate PA groups. Femoral neck BMD was also increased by both low-moderate and moderate-high PA, with a significant difference in femoral neck BMD increase between the moderate-high and low-moderate PA groups, although the difference was limited. For prepubertal girls, the femoral neck BMD was significantly increased only by moderate-high PA (not low-moderate PA), suggesting that PA had positive effects on the BMD increase in adolescent girls.CONCLUSIONS: Low-moderate PA might be sufficient to promote bone mass increase in pubertal girls, whereas moderate-high PA was required to gain more bone mass in prepubertal girls.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
3秒前
4秒前
CodeCraft的应助被yyyyy采纳,获得10
4秒前
自觉千凝完成签到 ,获得积分10
6秒前
7秒前
8秒前
9秒前
星辰大海的应助被lingo采纳,获得10
9秒前
悦耳安雁发布了新的文献求助30
12秒前
12秒前
wbh发布了新的文献求助10
12秒前
13秒前
科研通AI2S的应助被路人采纳,获得10
13秒前
陶逸豪发布了新的文献求助10
13秒前
HSora发布了新的文献求助10
13秒前
刘慧敏完成签到,获得积分10
14秒前
14秒前
惠惠子发布了新的文献求助10
15秒前
wtl发布了新的文献求助10
17秒前
SciGPT的应助被yu采纳,获得10
17秒前
18秒前
20秒前
21秒前
21秒前
21秒前
蓝天的应助被大慶帝国御医采纳,获得20
21秒前
洁净笑白发布了新的文献求助10
22秒前
Enigma_GEB的应助被科研通管家采纳,获得30
29秒前
29秒前
Jian的应助被科研通管家采纳,获得10
29秒前
丘比特的应助被科研通管家采纳,获得10
29秒前
小蘑菇的应助被科研通管家采纳,获得10
29秒前
Mu完成签到,获得积分10
29秒前
共享精神的应助被科研通管家采纳,获得10
29秒前
Owen的应助被科研通管家采纳,获得10
29秒前
29秒前
CipherSage的应助被科研通管家采纳,获得10
30秒前
星辰大海的应助被科研通管家采纳,获得10
30秒前
30秒前
科研通AI6.2的应助被寒冷一手采纳,获得10
32秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
The Student's Guide to Social Neuroscience 800
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Photoredox-Catalyzed Alkoxy-fluorosulfonylmethyl Difunctionalization of Alkenes 550
Organizational Behavior 510
Management and the Arts 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7811491
求助须知:如何正确求助?哪些是违规求助? 9342868
关于积分的说明 20515457
捐赠科研通 7404383
什么是DOI,文献DOI怎么找? 3329724
关于科研通互助平台的介绍 2476479
邀请新用户注册赠送积分活动 2349067