南阳市12~15岁女生睡眠碎片化与体成分及血压相关性

王卿; 时炳钦; 徐国昌; 刘荣志; 黄华

doi:10.16835/j.cnki.1000-9817.2025206

南阳市12~15岁女生睡眠碎片化与体成分及血压相关性

doi: 10.16835/j.cnki.1000-9817.2025206

1.
南阳医学高等专科学校解剖教研室，河南 473000
2.
南阳理工学院人类学研究所

基金项目:

国家自然科学基金项目 31271285

南阳市科技攻关项目 23KJGG176

详细信息

作者简介:
王卿(1980-)，男，河南南阳人，硕士，副教授，主要研究方向为人类学

通讯作者:
刘荣志，E-mail: liurongzhi@sina.com

利益冲突声明 所有作者声明无利益冲突。
中图分类号: R179 Q428 R544
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- 文章访问数: 12
- HTML全文浏览量: 6
- PDF下载量: 2
- 被引次数: 0
出版历程
- 收稿日期: 2024-12-25
- 修回日期: 2025-04-21
- 网络出版日期: 2025-08-02
- 刊出日期: 2025-07-25

Association between sleep fragmentation and body composition/blood pressure among 12-15-year-old female students in Nanyang City

1.
Department of Anatomy, Nanyang Medical College, Nanyang 473000, Henan Province, China

摘要

摘要: 目的探究睡眠碎片化与中学女生体成分、血压的相关性，为预防睡眠碎片化所引起的健康危害提供参考依据。方法 2022年9月—2023年12月，采用分层整群随机抽样方法选取南阳市505名12~15岁女生为研究对象并进行匹兹堡睡眠质量量表(PSQI)调查，根据睡眠碎片化指数(SFI)四分位数将测试女生分为Q1~Q4组，采用体成分仪和传统汞式血压计测量体成分、血压，采用χ²检验和线性回归分析对数据进行比较和分析。结果南阳市12~15岁中学女生随着SFI的升高，体质量指数(BMI)、脂肪率、肌肉量、骨量、躯干脂肪率、收缩压、舒张压、PSQI总得分Q1~Q4组间差异均有统计学意义(F值分别为15.25，7.33，8.38，5.97，11.24，16.85，6.87，15.73，P值均 < 0.05)，且SFI与BMI、脂肪率、躯干脂肪率、血压(收缩压/舒张压)呈正相关(β值分别为0.37，0.45，0.34，0.42，0.38)，与肌肉量、骨量均呈负相关(β值分别为-0.35，-0.48)(P值均 < 0.05)；χ²趋势检验显示，随着SFI升高，高血压的检出率呈增高趋势(χ²=42.75，P < 0.05)；χ²检验显示不同四分位数组间高血压发生率差异有统计学意义(χ²=14.16，P < 0.05)；调整检验水准后，Q1与Q4组(χ²=10.77)、Q2与Q4组(χ²=6.28)女生间的高血压发生率差异有统计学意义(P值均 < 0.008 3)。结论中学女生睡眠碎片化与体成分、血压具有相关性，采取睡眠碎片化干预措施，对于保护中学女生健康是非常必要的。
- 睡眠 /
- 身体成分 /
- 血压 /
- 女(雌)性
Abstract: Objective To investigate the correlation between sleep fragmentation and body composition/blood pressure in female students of middle school, so as to provide theoretical guidance for preventing health risks associated with sleep fragmentation. Methods From September 2022 to December 2023, 505 female students aged 12-15 years in Nanyang City were selected through stratified cluster random sampling and conducted Pittsburgh Sleep Quality Index(PSQI) survey. Participants were divided into Q1-Q4 groups based on sleep fragmentation index (SFI) quartiles. Body composition and blood pressure measurements were measured by adopting body composition analyzer and traditional mercury sphygmomanometer, and data were analyzed using χ² tests and linear regression. Results Significant intergroup differences for Q1-Q4 were observed with increasing SFI levels for body mass index(BMI), fat percentage, muscle mass, bone mass, trunk fat percentage, systolic blood pressure, diastolic blood pressure, and PSQI total scores (F=15.25, 7.33, 8.38, 5.97, 11.24, 16.85, 6.87, 15.73, all P < 0.05). SFI showed positive correlations with BMI, fat percentage, trunk fat percentage, and blood pressure(β=0.37, 0.45, 0.34, 0.42, 0.38), but negative correlations with muscle mass and bone mass(β=-0.35, -0.48) (all P < 0.05). The χ² trend test revealed a significant increase in hypertension detection rates with elevated SFI (χ²=42.75, P < 0.05). The χ² testing demonstrated statistically significant differences in hypertension incidence among different quartiles groups (χ²=14.16, P < 0.05). After adjusting the significance level, hypertension incidence differences remained significant between Q1and Q4 (χ²=10.77), Q2 and Q4 groups (χ²=6.28) (both P < 0.008 3). Conclusions Sleep fragmentation correlates significantly with body composition and blood pressure indicators in female students of middle school. Implementing sleep fragmentation interventions is essential for safeguarding female students' health in middle school.
- Sleep /
- Body composition /
- Blood pressure /
- Female
注释:

1) 利益冲突声明 所有作者声明无利益冲突。

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表 1 不同年龄组女生SFI、体成分、血压、PSQI总得分比较(x±s)

Table 1. Comparison of SFI, body composition, blood pressure, and total PSQI score among girls in different age groups(x±s)

年龄/岁	人数	SFI	BMI/ (kg·m^-2)	脂肪率/%	肌肉量/kg	骨量/kg	躯干脂肪率/%	右下肢脂肪率/%	收缩压/ mmHg	舒张压/ mmHg	PSQI总分
12	129	19.90±3.09	20.68±4.81	20.56±5.37	28.38±5.19	2.11±0.51	21.05±4.06	27.72±4.27	106.26±13.64	63.05±3.46	4.81±1.80
13	135	20.33±3.85	21.44±5.35	22.07±4.25	30.28±7.19	2.07±0.53	22.07±4.97	27.14±3.54	107.78±15.47	64.32±4.25	5.17±2.00
14	130	21.23±2.61	21.80±4.58	22.14±5.50	29.80±6.02	2.15±0.49	22.25±4.13	27.55±3.88	107.99±14.00	64.38±4.49	5.37±2.18
15	111	22.56±4.01	22.87±4.79	22.30±5.56	30.67±5.13	2.02±0.46	21.46±5.19	27.71±3.47	109.58±10.15	66.05±3.35	5.67±1.47
F值		13.50	4.16	3.22	3.52	1.49	1.85	0.71	11.94	11.54	4.38
P值		< 0.01	< 0.01	0.02	0.02	0.22	0.14	0.54	< 0.01	< 0.01	< 0.01
注：1 mmHg=0.133 kPa。

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表 2 不同SFI组女生体成分、血压及PSQI总分比较(x±s)

Table 2. Comparison of body composition, blood Pressure, and total PSQI score among girls in different SFI groups(x±s)

SFI分组	人数	BMI/ (kg·m^-2)	脂肪率/%	肌肉量/kg	骨量/kg	躯干脂肪率/%	右下肢脂肪率/%	收缩压/mmHg	舒张压/mmHg	PSQI总分
Q1	126	19.84±4.18	21.09±4.55	34.12±5.06	2.17±0.63	20.25±3.99	28.28±3.95	104.77±11.59	61.87±6.21	4.32±1.28
Q2	127	20.16±3.81	21.50±5.27	33.99±4.39	2.14±0.44	21.06±3.76	28.05±3.83	105.46±13.42	62.54±5.30	4.43±1.51
Q3	126	21.57±5.07	22.08±5.64	32.78±4.98	2.06±0.56	22.12±4.50	27.77±3.59	107.06±13.91	62.67±5.49	4.43±1.51
Q4	126	23.32±5.19	23.95±5.50	31.47±4.90	1.91±0.49	23.27±5.14	26.98±5.45	113.09±14.33	64.97±6.02	5.63±2.20
F值		15.25	7.33	8.38	5.97	11.24	2.26	16.85	6.87	15.73
P值		< 0.01	< 0.01	< 0.01	< 0.01	< 0.01	0.08	< 0.01	< 0.01	< 0.01
注：1 mmHg=0.133 kPa。

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表 3 女生体成分、血压影响因素的多元线性回归分析(n=505)

Table 3. Multivariate linear regression analysis of factors influencing girl body composition, blood pressure, and total PSQI score(n=505)

自变量	BMI			脂肪率			肌肉量			骨量
自变量	β值	t值	P值	β值	t值	P值	β值	t值	P值	β值	t值	P值
SFI	0.37	0.65	0.01	0.45	0.65	0.01	-0.35	0.69	0.01	-0.48	1.92	0.05
月经来潮	0.31	1.33	0.01	0.46	2.11	0.03	0.33	2.15	0.02	0.31	0.57	0.02
家庭条件	0.16	1.23	0.03	—	—	—	0.28	2.14	0.02	0.22	2.37	0.04
体育锻炼时间	-0.23	0.05	0.04	-0.31	2.33	0.01	0.24	3.20	0.02	0.36	1.89	0.04
居住地	—	—	—	0.27	0.06	0.02	—	—	—	0.22	0.15	0.04
含糖饮料摄入	0.21	3.00	0.01	0.31	1.87	0.03	0.13	2.76	0.02	—	—	—
学习压力大	0.15	0.33	0.03	0.30	0.94	0.02	—	—	—	0.52	2.38	0.04

自变量	躯干脂肪率			右下肢脂肪率			收缩压			舒张压
自变量	β值	t值	P值	β值	t值	P值	β值	t值	P值	β值	t值	P值
SFI	0.34	0.97	0.01	0.25	1.74	0.01	0.42	0.20	0.01	0.38	0.34	0.02
月经来潮	0.25	3.15	0.04	—	—	—	0.22	1.75	0.02	—	—	—
家庭条件	—	—	—	—	—	—	—	—	—	—	—	—
体育锻炼时间	-0.34	0.85	0.02	-0.25	2.21	0.04	-0.39	2.41	0.03	-0.29	1.79	0.03
居住地	—	—	—	—	—	—	—	—	—	—	—	—
含糖饮料摄入	0.20	2.33	0.03	—	—	—	0.22	1.33	0.04	—	—	—
学习压力大	0.16	0.98	0.03	—	—	—	0.52	3.15	0.01	0.36	2.32	0.02

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参考文献(32)

[1]	徐涛, 张天成, 谌晓安, 等. 我国中学生睡眠障碍患病率的Meta分析[J]. 现代预防医学, 2021, 48(6): 1023-1028. XU T, ZHANG T C, CHEN X A, et al. Prevalence of sleep disorder among Chinese middle school students: a Meta-analysis[J]. Mod Prev Med, 2021, 48(6): 1023-1028. (in Chinese)
[2]	LEE D B, AN S Y, PYO S S, et al. Sleep fragmentation accelerates carcinogenesis in a chemical-induced colon cancer model[J]. Int J Mol Sci, 2023, 24(5): 4547.
[3]	WILSON D A, MASIELLO K, LEWIN M P, et al. Developmental ethanol exposure-induced sleep fragmentation predicts adult cognitive impairment[J]. Neuroscience, 2016, 322: 18-27.
[4]	林琼芬, 黄若楠, 余平, 等. 中学生成就目标定向在学习压力源与睡眠质量间的作用[J]. 中国学校卫生, 2019, 40(7): 1013-1016. doi: 10.16835/j.cnki.1000-9817.2019.07.015 LIN Q F, HUANG R N, YU P, et al. Mediation of achievement goal orientation in the association between learning stress and sleep quality among middle school students[J]. Chin J Sch Health, 2019, 40(7): 1013-1016. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2019.07.015
[5]	王浩, 李娜, 关云琦, 等. 浙江省中学生睡眠不足流行特征及其影响因素研究[J]. 疾病监测, 2023, 38(5): 616-621. WANG H, LI N, GUAN Y Q, et al. Epidemiological characteristics of insufficient sleep and influencing factors in middle and high school students in Zhejiang[J]. Dis Surveill, 2023, 38(5): 616-621. (in Chinese)
[6]	廉祎, 李咏兰, 于会新. 贵州苗族与湘西苗族体成分分析[J]. 解剖学报, 2023, 54(2): 231-237. LIAN Y, LI Y L, YU H X. Body composition of Miao nationality in Guizhou and Western Hu'nan[J]. Acta Anat Sin, 2023, 54(2): 231-237. (in Chinese)
[7]	窦逸飞, 李颖, 张萌. 警察的焦虑和睡眠质量1年纵向研究[J]. 中国心理卫生杂志, 2024, 38(6): 528-533. DOU Y F, LI Y, ZHANG M. A 1-year longitudinal study of anxiety and sleep quality in police officers[J]. Chin Ment Health J, 2024, 38(6): 528-533. (in Chinese)
[8]	王鑫, 范警华, 徐玉銮, 等. 山东省滕州市2013—2021年脑出血发病率变化趋势分析[J]. 中华神经科杂志, 2023, 56(7): 770-779. WANG X, FAN J H, XU Y L, et al. The change trend analysis of incidence of intracerebral hemorrhage in Tengzhou City, Shandong Province from 2013 to 2021[J]. Chin J Neurol, 2023, 56(7): 770-779. (in Chinese)
[9]	SADEH A. The role and validity of actigraphy in sleep medicine: an update[J]. Sleep Med Rev, 2011, 15(4): 259-267.
[10]	JUAN Z, WENJUAN W, SUHUA W, et al. Fragmented sleep and the prevalence of hypertension in middle-aged and older individuals[J]. Nat Sci Sleep, 2021, 13: 2273-2280.
[11]	GRANDNER M A, FERNANDEZ F X. The translational neuroscience of sleep: a contextual framework[J]. Science, 2021, 374(6567): 568-573.
[12]	周晴晴, 孙兴国, 王继楠, 等. 存在睡眠呼吸异常的慢病患者呼吸影响心率变异性的初步分析[J]. 中国应用生理学杂志, 2021, 37(2): 135-141, 201. ZHOU Q Q, SUN X G, WANG J N, et al. Preliminary analysis of the influence of breathing on heart rate variability in chronically ill patients with sleep apnea[J]. Chin J Appl Physiol, 2021, 37(2): 135-141, 201. (in Chinese)
[13]	MUSTAFAYEVA A G. Mcchanisms for the development of artcrial hypertension in overweight adolescents and young adults[J]. Probl Endokrinol (Mosk), 2019, 65(3): 191-196.
[14]	林延敏. 女大学生体成分参数与睡眠质量的相关性研究[J]. 四川体育科学, 2020, 39(4): 33-37. LIN Y M. Study on the relationship between body composition parameters and sleep quality of female college students[J]. Sichuan Sports Sci, 2020, 39(4): 33-37. (in Chinese)
[15]	张碧涛, 李媛媛, 辛泰然, 等. 逍遥散治疗抑郁症的研究进展[J]. 中国实验方剂学杂志, 2022, 28(23): 273-282. ZHANG B T, LI Y Y, XIN T R, et al. Xiaoyaosan in treatment of depression: a review[J]. Chin J Exp Tradit Med Formulae, 2022, 28(23): 273-282. (in Chinese)
[16]	柳楠, 刘海虹, 杨志杰, 等. 碎片化睡眠对在校青少年运动行为及心理健康的影响[J]. 中国学校卫生, 2023, 44(8): 1272-1275. doi: 10.16835/j.cnki.1000-9817.2023.08.034 LIU N, LIU H H, YANG Z J, et al. Effects of fragmented sleep on motor behavior and mental health among school-age adolescents[J]. Chin J Sch Health, 2023, 44(8): 1272-1275. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2023.08.034
[17]	梁果, 王丽娟, 周玉兰, 等. 睡眠时长与中国6~19岁儿童青少年肥胖风险的关系: 基于系统综述与Meta分析[J]. 中国体育科技, 2023, 59(7): 61-70. LIANG G, WANG L J, ZHOU Y L, et al. The risk relationship between sleep duration and childhood obesity in Chinese children and adolescents aged 6 to 19: a systematic review and Meta-analysis[J]. China Sport Sci Technol, 2023, 59(7): 61-70. (in Chinese)
[18]	ZHAO X, LI X, XU H, et al. Relationships between cardiometabolic disorders and obstructive sleep apnea: implications for cardiovascular disease risk[J]. J Clin Hypertens (Greenwich), 2019, 21(2): 280-290.
[19]	GRANT L K, COBORN J E, COHN A, et al. Sleep fragmentation and estradiol suppression decrease fat oxidation in premenopausal women[J]. J Clin Endocrinol Metab, 2022, 107(8): 3167-3176.
[20]	GOZAL D, KHALYFA A, QIAO Z, et al. Protein-tyrosine phosphatase-lB mediates sleep fragmentation induced insulin resistance and visceral adipose tissue inflammation in mice[J]. Sleep, 2017, 40(9): 10.
[21]	POURMOTABBED A, GHAEDIE E, BABAEI A, et al. Sleep duration and sarcopenia risk: a systematic review and dose-response Meta-analysis[J]. Sleep Breath, 2020, 24(4): 1267-1278.
[22]	贾易臻, 谷福顺, 王爱国. 睡眠与骨质疏松症相关性研究进展[J]. 中国骨质疏松杂志, 2021, 27(3): 463-468. JIA Y Z, GU F S, WANG A G. Research progress in the relationship between sleep and osteoporosis[J]. Chin J Osteop, 2021, 27(3): 463-468. (in Chinese)
[23]	房凤凤, 刘霖, 赵力博, 等. 阻塞性睡眠呼吸暂停综合征与骨质疏松症相关性研究进展[J]. 中国骨质疏松杂志, 2023, 29(1): 114-118. FANG F F, LIU L, ZHAO L B, et al. Progress of correlation between obstructive sleep apnea syndrome and osteoporosis[J]. Chin J Osteoporsis, 2023, 29(1): 114-118. (in Chinese)
[24]	李星丽, 王称, 张婷, 等. 中国儿童和青少年睡眠缺乏状况的Meta分析[J]. 中国循证医学杂志, 2022, 22(3): 268-275. LI X L, WANG C, ZHANG T, et al. Sleep deprivation in children and adolescents in China: a Meta-analysis[J]. Chin J Evid-Based Med, 2022, 22(3): 268-275. (in Chinese)
[25]	MI S J, KELLY N R, BRYCHTA R J, et al. Associations of sleep patterns with metabolic syndrome indices, body composition, and energy intake in children and adolescents[J]. Pediatr Obes, 2019, 14(6): e12507.
[26]	热依拉·吐尔逊, 刘红双, 杨亚洁, 等. 北京市某中学初中生膳食营养素摄入与肥胖和高血压的关联性研究[J]. 预防医学情报杂志, 2020, 36(12): 1581-1588. REYILA T E S, LIU H S, YANG Y J, et al. Correlation between dietary nutrient intake, obesity and hypertension of students in a middle school in Beijing[J]. J Prev Med Inf, 2020, 36(12): 1581-1588. (in Chinese)
[27]	MILAGRO J, DEVIACNC M, GIL E, et al. Autonomic dysfunction incrcases cardiovascular risk in the prescnce of sleep apnca[J]. Front Physiol, 2019, 10: 620.
[28]	刘元茹, 徐佩茹. 新疆地区单纯性肥胖儿童血清指标与肾素-血管紧张素-醛固酮系统的关系[J]. 中华实用儿科临床杂志, 2022, 37(11): 851-854. LIU Y R, XU P R. The correlation between serum indexes and the renin-angiotensin-aldosterone system in children with simple obesity in Xinjiang area[J]. Chin J Appl Clin Pediatr, 2022, 37(11): 851-854. (in Chinese)
[29]	TRUDE A C B, ARMSTRONG B, KRAMER F M, et al. Waking up to sleep's role in obesity and blood pressure among Black adolescent girls in low-income, US urban communities: a longitudinal analysis[J]. Sleep Hcalth, 2022, 8(2): 200-207.
[30]	金晶, 刘雨朦, 黄璟, 等. 自发性高血压大鼠脑缺血再灌注后血压节律和生物钟蛋白表达[J]. 国际脑血管病杂志, 2021, 29(5): 351-357. JIN J, LIU Y M, HUANG J, et al. Blood pressure rhythm and circadian clock protein expression after cerebral ischemia-reperfusion in spontaneously hypertensive rats[J]. Int J Cerebrovas Dis, 2021, 29(5): 351-357. (in Chinese)
[31]	李婧, 李小凤, 余湘尤, 等. 胰岛素抵抗代谢评分与高血压的相关性研究[J]. 重庆医学, 2023, 52(15): 2310-2314. LI J, LI X F, YU X Y, et al. Correlation between insulin resistance and metabolic score with hypertension[J]. Chongqing Med, 2023, 52(15): 2310-2314. (in Chinese)
[32]	DOMÍNGUEZ F, FUSTER V, FERNÁNDEZ-ALVIRA J M, et al. Association of sleep duration and quality with subclinical atherosclerosis[J]. J Am Coll Cardiol, 2019, 73(2): 134-144.