Evidence map›Paper›PMID 39945926›Full record

ArticleArchives of osteoporosis2025

Association of the various physical activity patterns with low bone mineral density in Americans aged 20-60.

Yi Wang, Ling Long, Lei Liu, Pan Fan, Xin Zheng, Xi Li, Yun-Tao Wang, Bao-Shan Xu, Yu-Ao Tao

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of osteoporosis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Accelerometer-measured weekly and diurnal moderate-to-vigorous physical activity patterns and incident osteoporosis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yi Wang *Clinical Colledge of Orthopedics, Tianjin Medical University, Tianjin, China.
Ling Long *Jiujiang Hospital of Traditional Chinese Medicine, Jiujiang, Jiangxi Province, China.
Lei LiuDepartment of Spine Center, Medical College, School of Medicine, Zhongda Hospital, Southeast University, No. 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China.
Pan FanDepartment of Spine Center, Medical College, School of Medicine, Zhongda Hospital, Southeast University, No. 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China.
Xin ZhengDepartment of Spine Center, Medical College, School of Medicine, Zhongda Hospital, Southeast University, No. 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China.
Xi LiDepartment of Spine Center, Medical College, School of Medicine, Zhongda Hospital, Southeast University, No. 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China.
Yun-Tao WangDepartment of Spine Center, Medical College, School of Medicine, Zhongda Hospital, Southeast University, No. 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China.
Bao-Shan XuDepartment of Minimally Invasive Spine Surgery, Tianjin Hospital, Tianjin University, Jiefangnan Road 406, Hexi District, Tianjin, 300211, China. baoshanxu99@tmu.edu.cn.
Yu-Ao TaoDepartment of Spine Center, Medical College, School of Medicine, Zhongda Hospital, Southeast University, No. 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China. 220223918@seu.edu.cn.

Funding

Chunhui Project Foundation of the Education Department of China HZKY20220156Natural Science Foundation of Jiangsu Province BK20220832
6 · The paper itself

Abstract

Through analyzing the data of the NHANES 2007-2020 cycle, this study concluded that high-intensity exercise 1-2 sessions a week can help maintain bone mass, and there is no significant difference from regular exercise more than 3 times a week. PURPOSE: This study aims to explore the relationship between the various physical activity(PA) patterns and the risk of low bone mineral density(BMD) in Americans of working age.

methodA total of 6482 participants aged 20-60 were selected from the National Health and Nutrition Survey (NHANES) conducted from 2007 to 2020. The PA data of the participants were obtained through individual interviews, and the participants were divided into four groups (inactive, insufficiently active, less frequent but sufficiently active(1-2 sessions a week and PA ≥ 150 min), and regularly active). Weighted logistic regression was used to analyze the correlation between PA patterns and the risk of low BMD. Subgroup analyses were applied to display the correlation between PA patterns and low BMD in different subgroups.

resultAfter adjusting for confounding factors, the multiple logistic regression model showed that compared with inactive individuals, sufficiently active and regularly active individuals had a 35% (OR, 0.65; 95% CI, 0.46-0.92) and 24% (OR, 0.76; 95% CI, 0.62-0.93) lower risk of low BMD, respectively. Compared with regularly active adults, inactive adults had a 32% (OR, 1.32; 95% CI, 1.07-1.62) increased risk of low BMD, while sufficiently active individuals (OR, 0.85; 95% CI, 0.59-1.23) showed no significant difference compared with regularly active adults.

conclusionCompared with inactive adults, less frequent but sufficiently active adults have a lower risk of low BMD and showed benefits similar to those in regularly active groups. The sufficiently active pattern may become a new trend in modern working-age adults' PA patterns.

Indexed as

Bone DensityExerciseOsteoporosisAdultFemaleHumansMaleMiddle AgedNutrition SurveysUnited StatesYoung AdultBone mineral densityOsteopeniaPhysical activityWeekend warrior

Identifiers

PMID39945926

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.