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The Relationship Between Health-Promoting Lifestyle and Its Related Factors with Self-Efficacy and Well-Being of Students
Mohammad Amiri, Reza Chaman, Ahmad Khosravi
Osong Public Health Res Perspect. 2019;10(4):221-227.   Published online August 31, 2019
DOI: https://doi.org/10.24171/j.phrp.2019.10.4.04
  • 6,120 View
  • 248 Download
  • 13 Crossref
AbstractAbstract PDF
Objectives

Unhealthy lifestyles among young people are seriously related to incapacity and health problems in adulthood. The aim of this study was to determine the importance of a health-promoting lifestyle and its association with self-efficacy and well-being.

Methods

In this cross-sectional study, a sample of 500 students from Shahroud University of Medical Sciences (Shahroud, Iran) were randomly selected in 2017. The Persian versions of Health-Promoting Lifestyle Profile, Self-Efficacy Scale, and WHO-5 Well-Being Index were used.

Results

Among the participants, 34% of students had an abnormal imaginable well-being, and 68% of students had high self-efficacy. The mean score of a health-promoting lifestyle was 127.47 ± 19.78, which is interpreted as moderate, and the mean score of physical activity was 14.10 ± 4.95, which is poor. There was a significant relationship between well-being, and self-efficacy with health-promoting lifestyle. Age, gender, educational level, place of residence, student employment, self-efficacy, and well-being were associated with students’ lifestyles.

Conclusion

A health-promoting lifestyle of students in this study was moderate and they did not have an acceptable level of physical activity. The direct effect of well-being, and self-efficacy on lifestyle, revising students’ curriculums to improve their health behaviors, and general health indicators, can all lead to the enhancement of health-promoting lifestyles.

Citations

Citations to this article as recorded by  
  • Health-promoting Lifestyle and Predicting Anxiety Caused by COVID-19 In Medical Sciences Students
    Mohammad Amiri, Zahra Mehmannavaz Mikal, Elham Sadeghi, Ahmad Khosravi
    The Open Public Health Journal.2024;[Epub]     CrossRef
  • Feasibility and outcomes of a community-based, mobile health system-monitored lifestyle intervention in chronic stroke: A pilot study
    Juhee Kim, Young-Hyeon Bae, Seung Hee Ho, Hyungjoo Lee, Hyukyoung Park
    Technology and Health Care.2024; : 1.     CrossRef
  • WhatsApp‐based intervention for people with type 2 diabetes: A randomized controlled trial
    Esmaeel Yaagoob, Regina Lee, Michelle Stubbs, Fatimah Shuaib, Raja Johar, Sally Chan
    Nursing & Health Sciences.2024;[Epub]     CrossRef
  • Context matters: criticism and accommodation by close others associated with treatment attitudes in those with anxiety
    Olivia A. Merritt, Karen Rowa, Christine L. Purdon
    Behavioural and Cognitive Psychotherapy.2023; 51(1): 21.     CrossRef
  • The well-being of Iranian adult citizens; is it related to mental health literacy?
    Seyed Mohammad Hossein Mahmoodi, Maryam Rasoulian, Elaheh Khodadoust, Zahra Jabari, Sahar Emami, Masoud Ahmadzad-Asl
    Frontiers in Psychiatry.2023;[Epub]     CrossRef
  • Context is belangrijk: kritiek en accommodatie door naasten in relatie tot de behandelattitude van mensen met angstklachten
    Olivia A. Merritt, Karen Rowa, Christine L. Purdon
    Gezinstherapie Wereldwijd.2023; 34(3): 262.     CrossRef
  • Health-promoting lifestyle and its determining factors among students of public and private universities in Iran
    Mohammad Amiri, Mehdi Raei, Elham Sadeghi, Leila Keikavoosi-Arani, Ahmad Khosravi
    Journal of Education and Health Promotion.2023; 12(1): 239.     CrossRef
  • Physical Exercise Pattern for Undergraduate Students and Its Importance in the Quality of Life, Well-Being, and Future Patient Orientation
    André Souza Leite Vieira, Simony Lira Nascimento, Tamiris Aparecida de Moraes Fiorato, Laura Cintra Vinchi, Fernanda Garanhani Surita
    Journal of Lifestyle Medicine.2023; 13(2): 110.     CrossRef
  • Health‐promoting behaviors and self‐efficacy among nursing students in times of uncertainty
    Rita Doumit, Maha Habre, Rebecca Cattan, Joelle Abi Kharma, Beena Davis
    Worldviews on Evidence-Based Nursing.2022; 19(6): 500.     CrossRef
  • Hemşirelik Öğrencilerinin Sağlıklı Yaşam Biçimi Davranışları ve Sağlık Okuryazarlık Düzeyleri
    Şenay AKGÜN, Hümeyra HANÇER TOK, Duygu OZTAŞ
    Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi.2021; 10(2): 247.     CrossRef
  • Lifestyle in Female Teachers: Educational Intervention Based on Self-Efficacy Theory in the South of Fars Province, Iran
    Fariba Abbasi, Leila Ghahremani, Mahin Nazari, Mohammad Fararouei, Zakieh Khoramaki, Matteo Curcuruto
    BioMed Research International.2021; 2021: 1.     CrossRef
  • Investigation of Health-Promoting Lifestyle and its Determinants Among Students of Medical Sciences in Iran
    Mohammad Amiri, Ahmad Khosravi, Niloofar Aboozarzadeh, Leila Khojasteh, Zakieh Sadeghi, Mehdi Raei
    The Open Public Health Journal.2020; 13(1): 627.     CrossRef
  • Study of the Relationship Between Self-Efficacy, General Health and Burnout Among Iranian Health Workers
    Mohammad Amiri, Hassan Vahedi, Seyed Reza Mirhoseini, Ahmad Reza Eghtesadi, Ahmad Khosravi
    Osong Public Health and Research Perspectives.2019; 10(6): 359.     CrossRef
Obesity, Hypertension, and Type-2 Diabetes Mellitus: The Interrelationships and the Determinants among Adults in Gaza City, Palestine
Mohammed S. Ellulu
Osong Public Health Res Perspect. 2018;9(6):289-298.   Published online December 31, 2018
DOI: https://doi.org/10.24171/j.phrp.2018.9.6.02
  • 6,009 View
  • 127 Download
  • 7 Crossref
AbstractAbstract PDF
Objectives

To describe the distribution of social factors, lifestyle habits and anthropometric measurements according to hypertension and Type-2 diabetes.

Methods

A cross-sectional study was conducted in Gaza City, Palestine that included 379 patients (20–60 years) who had hypertension and/or diabetes. Three groups of patients were involved; 106 hypertensive (HT), 109 diabetic (T2DM) and 164 hypertensive diabetics (HT + T2DM).

Results

The HT + T2DM group were older and had a higher body mass index compared to HT and T2DM groups. There were 62.3% patients who were female, 49.2% were highly educated HT patients, and 49.3% patients had a low level of education and were HT + T2DM. There were 55.8% patients who lived in large families. Patients who were passive smokers or never smoked before were mostly HT + T2DM, while active smokers and past smokers had T2DM. There were 48.2% patients who were highly physically active who had HT, 40.9% whom were moderately active had T2DM, and 53.8% of patients who had a low level of activity were HT + T2DM. Multivariate linear regression showed that having a diseased mother, living in a large family, being a past or passive smoker, or never having smoked, having a low or moderate level of activity, and having HT or HT + T2DM, were significantly associated with an increased body mass index.

Conclusion

Parental health/disease conditions and environmental factors (social network and lifestyle habits) played the greatest role in the development of obesity and disease.

Citations

Citations to this article as recorded by  
  • Analysis of the nutritional status in the Palestinian territory: a review study
    Enas A. Assaf, Haleama Al Sabbah, Ayoub Al-Jawadleh
    Frontiers in Nutrition.2023;[Epub]     CrossRef
  • The hypertension cascade of care in the midst of conflict: the case of the Gaza Strip
    Bassam A. Abu Hamad, Zeina Jamaluddine, Gloria Safadi, Marie-Elizabeth Ragi, Raeda El Sayed Ahmad, Eszter P. Vamos, Sanjay Basu, John S. Yudkin, Mohammed Jawad, Christopher Millett, Hala Ghattas
    Journal of Human Hypertension.2022; 37(10): 957.     CrossRef
  • Association between endothelial nitric oxide synthase and the renin-angiotensin-aldosterone system polymorphisms, blood pressure and training status in normotensive/pre-hypertension and hypertensive older adults: a pilot study
    Roberta Fernanda da Silva, Riccardo Lacchini, Lucas Cezar Pinheiro, Letícia Perticarrara Ferezin, José Eduardo Tanus-Santos, Marcelo Rizzatti Luizon, Thiago José Dionísio, Carlos Ferreira Santos, Thaís Amanda Reia, André Mourão Jacomini, Ana Maria Guilmo
    Clinical and Experimental Hypertension.2021; 43(7): 661.     CrossRef
  • Breakfast characteristics, perception, and reasons of skipping among 8th and 9th-grade students at governmental schools, Jenin governance, West Bank
    Manal Badrasawi, Ola Anabtawi, Yaqout Al-Zain
    BMC Nutrition.2021;[Epub]     CrossRef
  • Advanced Molecular Imaging (MRI/MRS/1H NMR) for Metabolic Information in Young Adults with Health Risk Obesity
    Khin Thandar Htun, Jie Pan, Duanghathai Pasanta, Montree Tungjai, Chatchanok Udomtanakunchai, Thanaporn Petcharoen, Nattacha Chamta, Supak Kosicharoen, Kiattisak Chukua, Christopher Lai, Suchart Kothan
    Life.2021; 11(10): 1035.     CrossRef
  • Prevalence and Predictors of Co-occurring Hypertension and Depression Among Community-Dwelling Older Adults
    Cicily A. Gray, Omar T. Sims, Hyejung Oh
    Journal of Racial and Ethnic Health Disparities.2020; 7(2): 365.     CrossRef
  • Prevalence of Type 2 Diabetes and Its Association with Added Sugar Intake in Citizens and Refugees Aged 40 or Older in the Gaza Strip, Palestine
    Majed Jebril, Xin Liu, Zumin Shi, Mohsen Mazidi, Akram Altaher, Youfa Wang
    International Journal of Environmental Research an.2020; 17(22): 8594.     CrossRef
Joint Association of Screen Time and Physical Activity with Obesity: Findings from the Korea Media Panel Study
Jihyung Shin
Osong Public Health Res Perspect. 2018;9(4):207-212.   Published online August 31, 2018
DOI: https://doi.org/10.24171/j.phrp.2018.9.4.10
  • 9,340 View
  • 92 Download
  • 10 Crossref
AbstractAbstract PDF
Objectives

There is evidence to suggest that sedentary behavior is associated with a higher risk of metabolic disease. The aim of this study was to investigate cross-sectional joint associations of physical activity (PA) and screen time (ST), with the risk of obesity in Korean adults.

Methods

The Korea Media Panel Study consisted of a household interview and a self-administered diary survey on media usage over 3 days. ST (hours/day) was defined as the reported daily average hours spent watching television, computing (i.e., desktop, notebook, netbook, tablets), smartphone and video game console use. Cross-sectional associations of obesity (BMI ≥ 25 kg/m2) and the amount of daily ST and PA were examined by logistic regression models adjusting for other possible confounders including alcohol consumption, smoking, depressive symptoms and demographic information. There were 7,808 participants included in the analyses.

Results

Increased ST was significantly associated with the risk of obesity (controlling for other possible confounders), but PA level was not found to be significantly linked. Participants who engaged in screen time > 6 hours per day had a higher incidence of obesity.

Conclusion

This study provides evidence of the association between ST and the increased incidence of obesity measured by BMI, independent of PA amongst Korean adults.

Citations

Citations to this article as recorded by  
  • Toward an Integrated Consideration of 24 h Movement Guidelines and Nutritional Recommendations
    Elora Fournier, Edyta Łuszczki, Laurie Isacco, Emilie Chanséaume-Bussiere, Céline Gryson, Claire Chambrier, Vicky Drapeau, Jean-Philippe Chaput, David Thivel
    Nutrients.2023; 15(9): 2109.     CrossRef
  • The economic burden of adolescent internet addiction: A Korean health cost case study
    Robert W. Mead, Edward Nall
    The Social Science Journal.2023; : 1.     CrossRef
  • Relación entre actividad física, sedentarismo y obesidad en adultos, Colombia, 2015
    Ana Yibby Forero , Gina Emely Morales , Luis Carlos Forero
    Biomédica.2023; 43(Sp. 3): 99.     CrossRef
  • Assessment of the Lifestyle Changes Experienced by Dental Professionals before and during COVID-19 Lockdown: A Comparative Pilot Study
    Baby John, Vinola Duraisamy, Diana Prem, Balamanikandasrinivasan Chandrasekaran
    World Journal of Dentistry.2022; 13(6): 658.     CrossRef
  • Demographic, Anthropometric and Food Behavior Data towards Healthy Eating in Romania
    Anca Bacârea, Vladimir Constantin Bacârea, Cristina Cînpeanu, Claudiu Teodorescu, Ana Gabriela Seni, Raquel P. F. Guiné, Monica Tarcea
    Foods.2021; 10(3): 487.     CrossRef
  • Some eating habits and physical activity of players performing in e-sports
    D. B. Nikitjuk, I. V. Kobelkova, M. M. Korosteleva
    Sports medicine: research and practice.2021; 11(3): 57.     CrossRef
  • Association of total sedentary behaviour and television viewing with risk of overweight/obesity, type 2 diabetes and hypertension: A dose–response meta‐analysis
    Chunmei Guo, Qionggui Zhou, Dongdong Zhang, Pei Qin, Quanman Li, Gang Tian, Dechen Liu, Xu Chen, Leilei Liu, Feiyan Liu, Cheng Cheng, Ranran Qie, Minghui Han, Shengbing Huang, Xiaoyan Wu, Yang Zhao, Yongcheng Ren, Ming Zhang, Yu Liu, Dongsheng Hu
    Diabetes, Obesity and Metabolism.2020; 22(1): 79.     CrossRef
  • Dietary and Lifestyle Changes During COVID-19 and the Subsequent Lockdowns among Polish Adults: A Cross-Sectional Online Survey PLifeCOVID-19 Study
    Magdalena Górnicka, Małgorzata Ewa Drywień, Monika A. Zielinska, Jadwiga Hamułka
    Nutrients.2020; 12(8): 2324.     CrossRef
  • The Association between Esports Participation, Health and Physical Activity Behaviour
    Michael G Trotter, Tristan J. Coulter, Paul A Davis, Dylan R Poulus, Remco Polman
    International Journal of Environmental Research an.2020; 17(19): 7329.     CrossRef
  • Associations of Meal Timing and Frequency with Obesity and Metabolic Syndrome among Korean Adults
    Kyungho Ha, YoonJu Song
    Nutrients.2019; 11(10): 2437.     CrossRef
Effects of Physical Activity on Depression in Adults with Diabetes
Deok-Ju Kim
Osong Public Health Res Perspect. 2018;9(4):143-149.   Published online August 31, 2018
DOI: https://doi.org/10.24171/j.phrp.2018.9.4.02
  • 5,720 View
  • 143 Download
  • 7 Crossref
AbstractAbstract PDF
Objectives

The purpose of this study was to identify the current state of physical activity in adults with diabetes and to investigate the effect of physical activity on depression.

Methods

The present study was conducted using data from the 2nd year of the 6th Korea National Health and Nutritional Examination Survey. From the total of 7,550 individuals, 418 adults diagnosed with diabetes were selected as participants, and their physical activity and depression levels were examined.

Results

The physical activity status of the participants showed that they did not usually engage in physical activities at work, and only a few participants were involved in moderate intensity physical leisure activity. Apart from walking for 10 minutes each day, which accounted for 1/3 of the participants, most of the participants did not engage in specific forms of exercise. An examination of the effects of physical activity on depression revealed that moderate intensity physical activity at work and leisure influenced depression. In terms of demographic characteristics, gender, occupation, income quintile, and subjective health status were all found to affect depression.

Conclusion

For elderly (60 years or older) patients with diabetes, which accounted for the majority of the diabetic population, a systematic leisure program and professional education are necessary to help them to manage stress and depression in daily life. Additionally, provision of community and family support should encourage regular, moderate intensity exercise and promote lifestyle changes to encourage increased physical activity.

Citations

Citations to this article as recorded by  
  • Prevalence of comorbid depression and associated factors among hospitalized patients with type 2 diabetes mellitus in Hunan, China
    Rehanguli Maimaitituerxun, Wenhang Chen, Jingsha Xiang, Atipatsa C. Kaminga, Xin Yin Wu, Letao Chen, Jianzhou Yang, Aizhong Liu, Wenjie Dai
    BMC Psychiatry.2023;[Epub]     CrossRef
  • Barriers & facilitators to physical activity in people with depression and type 2 diabetes mellitus in Pakistan: A qualitative study to explore perspectives of patient participants, carers and healthcare staff
    Aatik Arsh, Saima Afaq, Claire Carswell, Karen Coales, Najma Siddiqi
    Mental Health and Physical Activity.2023; 25: 100542.     CrossRef
  • Moderating Effect of Grip Strength in the Association between Diabetes Mellitus and Depressive Symptomatology
    Diogo Veiga, Miguel Peralta, Élvio R. Gouveia, Laura Carvalho, Jorge Encantado, Pedro J. Teixeira, Adilson Marques
    Sports.2023; 12(1): 3.     CrossRef
  • Modeling the effects of physical activity, education, health, and subjective wealth on happiness based on Indonesian national survey data
    Bhina Patria
    BMC Public Health.2022;[Epub]     CrossRef
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    A.H. Abdelhafiz, P.C. Davies, A.J. Sinclair
    Diabetes Research and Clinical Practice.2020; 161: 108065.     CrossRef
  • Association between exercise and health-related quality of life and medical resource use in elderly people with diabetes: a cross-sectional population-based study
    Chien-Cheng Huang, Chien-Chin Hsu, Chong-Chi Chiu, Hung-Jung Lin, Jhi-Joung Wang, Shih-Feng Weng
    BMC Geriatrics.2020;[Epub]     CrossRef
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    Alan J. Sinclair, Ahmed H. Abdelhafiz
    Diabetes Spectrum.2020; 33(3): 217.     CrossRef
Associations between Social and Physical Environments, and Physical Activity in Adults from Urban and Rural Regions
Bongjeong Kim, Hye Sun Hyun
Osong Public Health Res Perspect. 2018;9(1):16-24.   Published online December 31, 2017
DOI: https://doi.org/10.24171/j.phrp.2018.9.1.04
  • 4,884 View
  • 49 Download
  • 6 Crossref
AbstractAbstract PDF
Objectives

This study investigates investigated the relationship between social and physical environments, and moderate to vigorous physical activity (MVPA) amongst adults in both rural and urban areas within Korea.

Methods

A sample of 128,735 adults from the 2013 Community Health Survey (CHS) was analyzed using a multilevel logistic analysis.

Results

Urban residents with higher satisfaction in public transportation satisfaction and rural residents with more access to sports parks, hiking trails, and bike cycle paths were more likely to be active. The MVPA of adults from rural areas correlated urban adults was uncorrelatedwith neighborhood factors, but that of rural adults was whereas no correlations were observed in adults from urban areas.

Conclusion

These differences should be considered when developing interventions strategies to enhance adult physical activity in different communities.

Citations

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  • Neighborhood Environmental Factors and Physical Activity Status among Rural Older Adults in Japan
    Kenta Okuyama, Takafumi Abe, Xinjun Li, Yuta Toyama, Kristina Sundquist, Toru Nabika
    International Journal of Environmental Research an.2021; 18(4): 1450.     CrossRef
  • Youth’s Physical Activity and Fitness from a Rural Environment of an Azores Island
    João Pedro Gouveia, Pedro Forte, Eduarda Coelho
    Social Sciences.2021; 10(3): 96.     CrossRef
  • The Changes in Obesity Prevalence and Dietary Habits in Korean Adults by Residential Area during the Last 10 Years — Based on the 4th (2007–2009) and the 7th (2016–2018) Korea National Health and Nutrition Examination Survey Data
    Da-Mee Kim, Kyung-Hee Kim
    Korean Journal of Community Nutrition.2021; 26(1): 37.     CrossRef
  • Regional Disparity in Adult Obesity Prevalence, and Its Determinants
    Bongjeong Kim
    Journal of Health Informatics and Statistics.2021; 46(4): 410.     CrossRef
  • Factors Affecting Activity Limitation in the Elderly: Data Processed from the Korea National Health and Nutrition Examination Survey, 2016
    Jong-Hoon Moon
    Osong Public Health and Research Perspectives.2019; 10(3): 117.     CrossRef
  • Corrigendum to “Associations between Social and Physical Environments, and Physical Activity in Adults from Urban and Rural Regions”[Osong Public Health Res Perspect 2018;9(1):16–24]
    Bongjeong Kim, Hye Sun Hyun
    Osong Public Health and Research Perspectives.2018; 9(5): 283.     CrossRef
Timing of Spermarche and Menarche are Associated with Physical Activity and Sedentary Behavior Among Korean Adolescents
Eun-Young Lee, Roman Pabayo, Ichiro Kawachi
Osong Public Health Res Perspect. 2016;7(4):266-272.   Published online August 31, 2016
DOI: https://doi.org/10.1016/j.phrp.2016.04.010
  • 3,119 View
  • 16 Download
  • 15 Crossref
AbstractAbstract PDF
Objectives
This study examined the timing of menarche and spermarche and their associations with physical activity (PA) and sedentary behavior (SB) after controlling for body mass index (BMI).
Methods
Multiple logistic regression analyses were conducted to determine whether the timing of menarche in girls and spermarche in boys is associated with PA and SB independent of BMI in a nationally representative sample of Korean adolescents (13–18 years; N = 74,186).
Results
After controlling for age, family economic status, and BMI, early timing of spermarche among boys was associated with a higher likelihood of engaging in PA and a lower likelihood of engaging in SB for < 2 hours during weekdays. By contrast, boys with late timing of spermarche were less likely to engage in PA and more likely to engage in SB for < 2 hours. Among girls, early or late timing of menarche was associated with a higher likelihood of engaging in PA and a lower likelihood of engaging in SB.
Conclusion
Timing of menarche in girls and spermarche in boys could be a marker for PA and SB among Korean adolescents. To promote PA and discourage SB among Korean adolescents, school-based, grade-specific interventions can be tailored by the absence or presence of menarche/spermarche.

Citations

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  • Secular trend and urban–rural disparity for age at spermarche among Chinese Han boys from 1995 to 2019
    Di Shi, Ning Ma, Yunfei Liu, Jiajia Dang, Panliang Zhong, Shan Cai, Peijin Hu, Jun Ma, Yi Song, Patrick W. C. Lau
    Acta Paediatrica.2023; 112(3): 529.     CrossRef
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    Yanhui Li, Di Gao, Manman Chen, Ying Ma, Li Chen, Jun Ma, Yanhui Dong
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    Donata Vidaković Samaržija, Marjeta Mišigoj-Duraković, Lara Pavelić Karamatić
    International Journal of Adolescent Medicine and H.2021; 33(3): 219.     CrossRef
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    Jordan A. Chad
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    Jaeyoung Lee
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    Silvia P. Canelón, Mary Regina Boland
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  • Exploring the relationship between adolescent biological maturation, physical activity, and sedentary behaviour: a systematic review and narrative synthesis
    Sarah A. Moore, Sean P. Cumming, Geremia Balletta, Katelynn Ramage, Joey C. Eisenmann, Adam D. G. Baxter-Jones, Stefan A. Jackowski, Lauren B. Sherar
    Annals of Human Biology.2020; 47(4): 365.     CrossRef
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  • Meeting 24-Hour Movement Guidelines for Children and Youth and associations with psychological well-being among South Korean adolescents
    Eun-Young Lee, John C. Spence, Mark S. Tremblay, Valerie Carson
    Mental Health and Physical Activity.2018; 14: 66.     CrossRef
  • A moment of truth
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2016; 7(4): 211.     CrossRef
  • Biological and Social Determinants of Fertility Behaviour among the Jat Women of Haryana State, India
    Ketaki Chandiok, Prakash Ranjan Mondal, Chakraverti Mahajan, Kallur Nava Saraswathy
    Journal of Anthropology.2016; 2016: 1.     CrossRef
The Determinants of Participation in Physical Activity in Malaysia
Yong Kang Cheah, Bee Koon Poh
Osong Public Health Res Perspect. 2014;5(1):20-27.   Published online February 28, 2014
DOI: https://doi.org/10.1016/j.phrp.2013.12.002
  • 3,171 View
  • 23 Download
  • 33 Crossref
AbstractAbstract PDF
Objectives
In light of the importance of physical activity, the aim of the present study is to examine the factors affecting participation in physical activity among adults in Malaysia.
Methods
A logistic regression model and the Third National Health and Morbidity Survey consisting of 30,992 respondents were used.
Results
Age, income, gender, education, marital status, region, house locality, job characteristics, and medical conditions are significantly associated with participation in physical activity. In particular, old individuals, high income earners, females, the well-educated, widowed or divorced individuals, East Malaysians, urban dwellers, the unemployed, and individuals who are not diagnosed with hypercholesterolemia are less likely to be physically active than others.
Conclusion
Because sociodemographic and health factors play an important role in determining physical activity, the government should take them into account when formulating policy.

Citations

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  • The Psychometric Properties of the Health Belief Model Scale for Exercise in the Turkish Population
    Melissa KÖPRÜLÜOĞLU, Elvan FELEKOĞLU, İlknur NAZ GÜRŞAN
    Journal of Basic and Clinical Health Sciences.2024; 8(1): 119.     CrossRef
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    André Hajek, Hans-Helmut König
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    Yong Kang Cheah, Kuang Kuay Lim, Hasimah Ismail, Muhammad Fadhli Mohd Yusoff, Chee Cheong Kee
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  • Physical Activity among Rural Residents in Eastern, Central, and Western Provinces of China: A Cross-Sectional Survey
    Cheng-Yao Liang, Zhi-Yuan Zheng, Yu-Gao Wu, Zhuo-Yang Li, Ping Wang, Yi-Yang Wang, Bai-Xue Lin, Jing Fang, Georgian Badicu
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    Zulkarnain Jaafar, Yi Z. Lim
    The Journal of Sports Medicine and Physical Fitnes.2023;[Epub]     CrossRef
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PHRP : Osong Public Health and Research Perspectives