Evidence map›Paper›PMID 42440704›Full record

ArticleFrontiers in sports and active living2026

The effect of joint angles on shot performance during the swing with different clubs among female professional golfers.

Yuyang Zhang, Heng Liu, Chao Liu

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yuyang ZhangSchool of Leisure and Digital Sports, Guangzhou Sport University, Guangzhou, China.
Heng LiuSchool of Sports Training, Tianjin University of Sport, Tianjin, China.
Chao LiuSchool of Sports Training, Tianjin University of Sport, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the differences in body joint angles during driver, 5-iron, and 7-iron swings in female professional golfers and their relationships with shot performance, providing a biomechanical basis for technical training. Methods: Twelve female professional golfers were recruited. A Qualisys three-dimensional motion capture system (250 Hz) and a FlightScope Xi launch monitor were used to collect data at four key swing phases: half backswing (HB), top of backswing (TOP), half downswing (HD), and impact (IMP). Joint angles of the head, neck, torso, pelvis, elbow, wrist, and knee were measured, along with performance parameters including carry, clubhead speed (CHS), smash factor, vertical angle, axis, and backspin rate (RPM). One-way repeated-measures ANOVA was used to compare differences among clubs, and Pearson correlation analysis was performed to examine the relationships between joint angles and shot performance. Results: The driver produced significantly greater carry, CHS, and smash factor than the irons ( Conclusions: Female professional golfers adapt to club-specific hitting demands primarily through adjustments in head, torso, and knee joint angles, while maintaining a relatively stable upper limb control pattern across club types. From a practical standpoint, driver training should emphasize lead forearm supination and lead knee external rotation braking at IMP; 5-iron training should prioritize control of torso forward tilt and head side tilt; and 7-iron training should focus on maintaining lead knee flexion and promoting sequential separation between pelvis and torso rotation.

Indexed as

different clubsfemalegolfjoint anglespro-golfershot performance

Identifiers

PMID42440704
PMCPMC13333751

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.