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Influence of eHealth Literacy and Health Promotion Behavior on Body Mass Index of Workers in the Public Sector.
Bello, Cecilia Bukola; Balogun, Mary Omolara; Ogundipe, Laofe; Olubiyi, Simeon Kayode; Bamigboye, Theresa Olaitan; Esan, Deborah Tolulope.
Afiliação
  • Bello CB; Department of Nursing Science, College of Medicine and Health Sciences, Afe Babalola University Ado-Ekiti, Ado Ekiti, Ekiti State, Nigeria.
  • Balogun MO; Department of Nursing Science, College of Medicine and Health Sciences, Afe Babalola University Ado-Ekiti, Ado Ekiti, Ekiti State, Nigeria.
  • Ogundipe L; Department of Psychiatry, College of Medicine and Health Sciences, Afe Babalola University Ado-Ekiti, Ado Ekiti, Ekiti State, Nigeria.
  • Olubiyi SK; Department of Nursing, University of Ilorin, Ilorin, Kwara State, Nigeria.
  • Bamigboye TO; Department of Nursing Science, College of Medicine and Health Sciences, Afe Babalola University Ado-Ekiti, Ado Ekiti, Ekiti State, Nigeria.
  • Esan DT; Faculty of Nursing Sciences, Bowen University, Iwo, Osun State, Nigeria.
SAGE Open Nurs ; 10: 23779608241274253, 2024.
Article em En | MEDLINE | ID: mdl-39165911
ABSTRACT

Background:

Adequate eHealth literacy and health promotion behavior (HPB) are important to achieve good health-related quality of life. There is limited information on the influence of eHealth literacy and HPB on body mass index (BMI) in our setting and among public service workers.

Objectives:

This study assessed the eHealth literacy, HPB, and BMI of public service workers and determined the influence of eHealth literacy and HPB on BMI.

Design:

A descriptive cross-sectional design was adopted.

Methods:

A simple random sampling technique was used to select 440 public service workers from civil service of redacted. A structured questionnaire was used to collect data on socio-demographics, eHealth literacy, and HPB. Weight and height were measured and BMI was calculated. Data were analyzed using frequency, percentage, mean, standard deviation, and logistic regression analysis. The significant level was set at 0.05.

Results:

More than one quarter (28.2%) of respondents had low eHealth literacy, and more than one third (42.5%) had inadequate (30.0% fair and 12.5% poor) HPB. An average (50.5%) had a level of obesity that ranged from preobesity to type 2 obesity. There was a significant association between eHealth literacy and HPB with the BMI of respondents at p < .05.

Conclusion:

There was inadequate eHealth literacy and HPB among public service workers. An average of the workers had a level of obesity that ranged from pre-obesity to type 2 obesity. There was a significant association between eHealth literacy and BMI and also between HPB and BMI of respondents. Community health professionals should assist public service workers to develop competencies and skills useful in evaluating health information on the Internet and applying such information to make informed decisions.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article