Evidence map›Paper›PMID 42329351›Full record

ArticleIndian pediatrics2026

Finger Dexterity and Pencil Grasp Patterns as Correlates of Handwriting Proficiency: A School-Based Cross-Sectional Analytical Study.

Aravind Chandrasekaran, Rajkumar Gajendran

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Article in Indian pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Why Handwriting Matters.Indian pediatrics · 2026
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Aravind ChandrasekaranDepartment of Pediatrics, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Chennai, 603103, Tamil Nadu, India.ORCID http://orcid.org/0009-0000-8745-1362
Rajkumar GajendranDepartment of Pediatrics, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Chennai, 603103, Tamil Nadu, India. grkmedico@gmail.com.ORCID http://orcid.org/0000-0002-7062-3209

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the association between finger dexterity and handwriting proficiency in schoolchildren, and to describe the distribution of pencil grasp patterns during a standardized copy task.

methodsThis school-based cross-sectional analytical study (June-August 2025) used complete enumeration of students in Grades 3-5. After parental consent, teachers completed the Handwriting Proficiency Screening Questionnaire (HPSQ); students performed a 2-3-line copy task in English for pencil-grasp classification and underwent O'Connor finger dexterity testing under standardized classroom conditions.

resultsAmong 500 students, 170 (34.0%) had poor handwriting (HPSQ ≥ 14). Age, grade, and sex were comparable between the poor and good handwriting groups. Dexterity was markedly worse in the poor handwriting group [O'Connor finger time (s): 388 (71.5) vs. 309.7 (59.9); P < 0.001]. Finger time moderately correlated with HPSQ scores (r = 0.466). Grasp patterns differed between groups (P < 0.001); dynamic tripod was less common in the poor handwriting group (33.5 vs. 50.0%), and non-mature grasps had higher odds of poor handwriting (OR 2.01, 95% CI 1.38-2.93). Poor legibility and performance-time subscores were higher with non-mature grasps and increased with slower finger times. In multivariable analysis, slower finger dexterity and higher grade independently predicted greater difficulty.

conclusionOne-third of students had poor handwriting. Slower O'Connor finger dexterity independently predicted teacher-rated difficulty, while non-mature grasp patterns, though more prevalent in poor handwriting group, were not independently predictive. Findings support school screening that pairs HPSQ with a brief dexterity test, with interventions targeting fine motor control rather than grasp retraining.

Indexed as

FingersHand StrengthHandwritingMotor SkillsChildCross-Sectional StudiesFemaleHumansMaleHandwriting difficultyHandwriting proficiency screening questionnaire (HPSQ)O’Connor finger dexterity testPencil grasp patternsSchoolchildren

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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.