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Latent profile analysis on nighttime social media use among pregnant women and their relationship with pregnancy-specific anxiety
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Meng-yao QIN1, Feng-yi REN1, Yi-chen WANG1, Rui-qi LIANG1, Xin LIU1, Lei SHENG1, Xiao-yan LIU2, Xin-xia CHEN1
Modern Preventive Medicine | 2026, 53(2) : 274 - 279
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Modern Preventive Medicine | 2026, 53(2): 274-279
• Child and Adolescent health, Maternal and Child Health •
Latent profile analysis on nighttime social media use among pregnant women and their relationship with pregnancy-specific anxiety
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Meng-yao QIN1, Feng-yi REN1, Yi-chen WANG1, Rui-qi LIANG1, Xin LIU1, Lei SHENG1, Xiao-yan LIU2, Xin-xia CHEN1
Affiliations
  • School of Nursing and Rehabilitation, Shandong University, Jinan, Shandong 250012, China
Published: 2026-01-25 doi: 10.20043/j.cnki.MPM.202507205
Outline
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Objective

To analyze the impact of nighttime social media useon pregnancy-specific anxiety among pregnant women, to provide evidence to promote mental health during pregnancy.

Methods

Ainvestigation was completedamong pregnant women undergoing prenatal examinations at Qilu Hospital of Shandong University from December 2024 to March 2025 using instruments including self-made general information questionnaire, Nighttime-useSocial Media Scaleand Pregnancy-specific Anxiety Questionnaire (PAQ). Latent profile analysis was used to explore the latent classes of nighttime social media use, while logistic regression analysis was used to analyze the relationship between its latent profiles and pregnancy-specific anxiety.

Results

A total of 855 pregnant women were included, the average score of nighttime social media use was 19.54±4.38, which could be divided into three latent classes including low-frequency use with good sleep (41.2%), high-frequency use with delayed sleep (49.2%), and high-frequency use with disrupted sleep (9.6%). Nighttime social media use significantly increased the risk of pregnancy-specific anxiety (P<0.001). The high-frequency use with delayedsleep group (OR=2.903, 95% CI=2.118-3.979) and the high-frequency use with disruptedsleep group (OR=5.087, 95% CI=2.771-9.339) had a higher risk of pregnancy-specific anxiety compared with the low-frequency use with good sleep group (P<0.001).

Conclusion

Nighttime social mediause is prevalent among pregnant women with significant inter-individual heterogeneity and increases the risk of pregnancy-specific anxiety. Particular emphasis should be placed on the impacts of nighttime social media use in pregnant woman, with targeted interventions implemented to promote physical and mental health during pregnancy.

Pregnancy  /  Social media  /  Nighttime-use  /  Pregnancy-specific anxiety  /  Latent profile analysis
秦梦瑶, 任丰毅, 王怡晨, 梁瑞琪, 刘欣, 盛蕾, 刘晓燕, 陈新霞. 妊娠期女性夜间社交媒体使用的潜在类别及其与妊娠相关焦虑的关系. 现代预防医学, 2026 , 53 (2) : 274 -279 . DOI: 10.20043/j.cnki.MPM.202507205
Meng-yao QIN, Feng-yi REN, Yi-chen WANG, Rui-qi LIANG, Xin LIU, Lei SHENG, Xiao-yan LIU, Xin-xia CHEN. Latent profile analysis on nighttime social media use among pregnant women and their relationship with pregnancy-specific anxiety[J]. Modern Preventive Medicine, 2026 , 53 (2) : 274 -279 . DOI: 10.20043/j.cnki.MPM.202507205
Year 2026 volume 53 Issue 2
19
11
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Article Info
doi: 10.20043/j.cnki.MPM.202507205
  • Receive Date:2025-07-14
  • Online Date:2026-11-02
  • Published:2026-01-25
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  • Received:2025-07-14
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    School of Nursing and Rehabilitation, Shandong University, Jinan, Shandong 250012, China
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表12种不同金属材料的力学参数
科
Family
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Number of
genus
种数
Number of
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Percentage of
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Genus
种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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