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Iran J Nurs Midwifery Res. 2014 Sep;19(5):503-7.

Efficacy of neurolinguistic programming training on mental health in nursing and midwifery students.

Author information

1
Department of Nursing and Midwifery, Islamic Azad University, Tehran Medical Sciences branch, Tehran, Iran.

Abstract

BACKGROUND:

Neurolinguistic programming (NLP) refers to the science and art of reaching success and perfection. It is a collection of the skills based on human beings' psychological characteristics through which the individuals obtain the ability to use their personal capabilities as much as possible. This study aimed to investigate the efficacy of NLP training on mental health in nursing and midwifery students in Islamic Azad University Tehran Medical Sciences branch.

MATERIALS AND METHODS:

In this quasi-experimental study, the study population comprised all nursing and midwifery students in Islamic Azad University, Tehran Medical branch, of whom 52 were selected and assigned to two groups through random sampling. Data collection tool was Goldberg General Health Questionnaire (28-item version). After primary evaluation, NLP training was given in five 120-min sessions and the groups were re-evaluated. The obtained data were analyzed.

RESULTS:

In the nursing group, paired t-test showed a significant difference in the scores of mental health (with 39 points decrease), physical signs (with 7.96 scores decrease), anxiety (with 10.75 scores decrease), social function (with 7.05 scores decrease) and depression (with 9.38 scores decrease). In the midwifery group, it showed a significant difference in mental health (with 22.63 scores decrease), physical signs (with 6.54 scores decrease), anxiety (with nine scores decrease), and depression (with 8.38 scores decrease).

CONCLUSIONS:

This study showed that NLP strategies are effective in the improvement of general health and its various dimensions. Therefore, it is essential to conduct structured and executive programs concerning NLP among the students.

KEYWORDS:

Iran; mental health; midwifery; neurolinguistic programming; nursing

PMID:
25400679
PMCID:
PMC4223968

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