Criterion Validity and Psychometric Properties of a Malay Version of the Short Multidimensional Inventory Lifestyle Evaluation-Confinement (SMILE-C) in a Sample of University Staff with Weight Problems
Abstract
:1. Introduction
2. Materials and Methods
2.1. Participants
2.2. Measures
2.3. Procedures
2.4. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
- Bhat, B.A.; Khan, S.; Manzoor, S.; Niyaz, A.; Tak, H.J.; Anees, S.U.M.; Gull, S.; Ahmad, I. A study on impact of COVID-19 lockdown on psychological health, economy, and social life of people in Kashmir. Int. J. Sci. Healthc. Res. 2020, 5, 36–46. [Google Scholar]
- Ferreira, L.N.; Pereira, L.N.; da Fé Brás, M.; Ilchuk, K. Quality of life under the COVID-19 quarantine. Qual. Life Res. 2021, 30, 1389–1405. [Google Scholar] [CrossRef]
- Haleem, A.; Javaid, M.; Vaishya, R. Effects of COVID-19 pandemic in daily life. Curr. Med. Res. Pract. 2020, 10, 78–79. [Google Scholar] [CrossRef]
- Qian, M.; Jiang, J. COVID-19 and social distancing. J. Public Health 2020, 1–3. [Google Scholar] [CrossRef]
- Weinstein, N.; Nguyen, T.V. Motivation and preference in isolation: A test of their different influences on responses to self-isolation during the COVID-19 outbreak. R. Soc. Open Sci. 2020, 7, 200458. [Google Scholar] [CrossRef] [PubMed]
- Di Renzo, L.; Gualtieri, P.; Pivari, F.; Soldati, L.; Attinà, A.; Cinelli, G.; Leggeri, C.; Caparello, G.; Barrea, L.; Scerbo, F. Eating habits and lifestyle changes during COVID-19 lockdown: An Italian survey. J. Transl. Med. 2020, 18, 229. [Google Scholar] [CrossRef]
- Górnicka, M.; Drywień, M.E.; Zielinska, M.A.; Hamułka, J. Dietary and lifestyle changes during COVID-19 and the subsequent lockdowns among Polish adults: A cross-sectional online survey PLifeCOVID-19 study. Nutrients 2020, 12, 2324. [Google Scholar] [CrossRef]
- López-Moreno, M.; López, M.T.I.; Miguel, M.; Garcés-Rimón, M. Physical and psychological effects related to food habits and lifestyle changes derived from COVID-19 home confinement in the Spanish population. Nutrients 2020, 12, 3445. [Google Scholar] [CrossRef] [PubMed]
- Cervera-Martínez, J.; Atienza-Carbonell, B.; Mota, J.C.; Bobes-Bascarán, T.; Crespo-Facorro, B.; Esteban, C.; García-Portilla, M.P.; Gomes-Da-Costa, S.; González-Pinto, A.; Jaén-Moreno, M.J.; et al. Lifestyle changes and mental health during the COVID-19 pandemic: A repeated, cross-sectional web survey. J. Affect. Disord. 2021, 295, 173–182. [Google Scholar] [CrossRef] [PubMed]
- Owen, A.J.; Tran, T.; Hammarberg, K.; Kirkman, M.; Fisher, J.R. Poor appetite and overeating reported by adults in Australia during the coronavirus-19 disease pandemic: A population-based study. Public Health Nutr. 2021, 24, 275–281. [Google Scholar] [CrossRef]
- Jackson, A.; Anderson, A.; Weybright, E.; Lanigan, J. Differing experiences of boredom during the pandemic and associations with dietary behaviours. J. Nutr. Educ. Behav. 2021, 53, 706–711. [Google Scholar] [CrossRef]
- Lim, M.A.; Pranata, R. The danger of sedentary lifestyle in diabetic and obese people during the COVID-19 pandemic. Clin. Med. Insights Endocrinol. Diabetes 2020, 13, 1179551420964487. [Google Scholar] [CrossRef]
- Romero-Blanco, C.; Rodríguez-Almagro, J.; Onieva-Zafra, M.D.; Parra-Fernández, M.L.; Prado-Laguna, M.D.C.; Hernández-Martínez, A. Physical activity and sedentary lifestyle in university students: Changes during confinement due to the COVID-19 pandemic. Int. J. Environ. Res. Public Health 2020, 17, 6567. [Google Scholar] [CrossRef]
- Zheng, C.; Huang, W.Y.; Sheridan, S.; Sit, C.H.P.; Chen, X.K.; Wong, S.H.S. COVID-19 pandemic brings a sedentary lifestyle in young adults: A cross-sectional and longitudinal study. Int. J. Environ. Res. Public Health 2020, 17, 6035. [Google Scholar] [CrossRef] [PubMed]
- Ingram, J.; Maciejewski, G.; Hand, C.J. Changes in diet, sleep, and physical activity are associated with differences in negative mood during COVID-19 lockdown. Front. Psychol. 2020, 11, 2328. [Google Scholar]
- Balanzá-Martínez, V.; Kapczinski, F.; de Azevedo Cardoso, T.; Atienza-Carbonell, B.; Rosa, A.R.; Mota, J.C.; De Boni, R.B. The assessment of lifestyle changes during the COVID-19 pandemic using a multidimensional scale. Rev. Psiquiatr. Salud Ment. 2021, 14, 16–26. [Google Scholar] [CrossRef] [PubMed]
- Giner-Murillo, M.; Atienza-Carbonell, B.; Cervera-Martínez, J.; Bobes-Bascarán, T.; Crespo-Facorro, B.; De Boni, R.; Esteban, C.; García-Portilla, M.; Gomes-Da-Costa, S.; González-Pinto, A.; et al. Lifestyle in undergraduate students and demographically matched controls during the COVID-19 pandemic in Spain. Int. J. Environ. Res. Public Health 2021, 18, 8133. [Google Scholar] [CrossRef] [PubMed]
- Eldridge, S.M.; Chan, C.L.; Campbell, M.J.; Bond, C.M.; Hopewell, S.; Thabane, L.; Lancaster, G.A. CONSORT 2010 statement: Extension to randomised pilot and feasibility trials. BMJ 2016, 355, i5239. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Manaf, M.R.A.; Nawi, A.M.; Tauhid, N.M.; Othman, H.; Rahman, M.R.A.; Yusoff, H.M.; Safian, N.; Ng, P.Y.; Manaf, Z.A.; Kadir, N.B.A.; et al. Prevalence of metabolic syndrome and its associated risk factors among staffs in a Malaysian public university. Sci. Rep. 2021, 11, 8132. [Google Scholar] [CrossRef]
- Hair, J.F.; Black, W.B.; Babin, B.J.; Anderson, R.E.; Tatham, R.L. Multivariate Data Analysis, 6th ed.; Pearson International Edition: London, UK, 2006. [Google Scholar]
- Sullivan, G.M. A Primer on the validity of assessment instruments. J. Grad. Med Educ. 2011, 3, 119–120. [Google Scholar] [CrossRef] [Green Version]
- Lui, P.P.; Fernando, G.A. Development and initial validation of a multidimensional scale assessing subjective well-being: The Well-Being Scale (WeBS). Psychol. Rep. 2018, 121, 135–160. [Google Scholar] [CrossRef] [Green Version]
- Zabriskie, R.B.; Ward, P.J. Satisfaction with family life scale. Marriage Fam. Rev. 2013, 49, 446–463. [Google Scholar] [CrossRef]
- Brown, K.W.; Ryan, R.M. The benefits of being present: Mindfulness and its role in psychological well-being. J. Personal. Soc. Psychol. 2003, 84, 822–848. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Schaufeli, W.B.; Bakker, A.B.; Salanova, M. The measurement of work engagement with a short questionnaire. A cross-national study. Educ. Psychol. Meas. 2006, 66, 701–716. [Google Scholar] [CrossRef]
- Vahedi, S. World Health Organization Quality-of-Life Scale (WHOQOL-BREF): Analyses of their item response theory properties based on the graded responses model. Iran. J. Psychiatry 2010, 5, 140–153. [Google Scholar]
- Bracken, B.A.; Barona, A. State of the art procedures for translating, validating, and using psychoeducational tests in cross-cultural assessment. Sch. Psychol. Int. 1991, 12, 119–132. [Google Scholar] [CrossRef]
- Machin, D.; Campbell, M.J.; Tan, S.B.; Tan, S.H. Sample Sizes for Clinical, Laboratory and Epidemiology Studies, 4th ed.; John Wiley and Sons: Hoboken, NJ, USA, 2018. [Google Scholar]
- DeVellis, R.F. Scale Development: Theory and Applications; Sage Publications: Thousand Oaks, CA, USA, 2016. [Google Scholar]
- Raykov, T.; Marcoulides, G.A. Introduction to Psychometric Theory; Routledge: Abingdon, UK, 2011. [Google Scholar]
- Horstmann, K.T.; Knaut, M.; Ziegler, M. Criterion validity. In Encyclopedia of Personality and Individual Differences; Zeigler-Hill, V., Shackelford, T., Eds.; Springer: Cham, Switzerland, 2018. [Google Scholar] [CrossRef]
- Azizi, A.; Achak, D.; Aboudi, K.; Saad, E.; Nejjari, C.; Nouira, Y.; Hilali, A.; Youlyouz-Marfak, I.; Marfak, A. Health-related quality of life and behaviour-related lifestyle changes due to the COVID-19 home confinement: Dataset from a Moroccan sample. Data Brief 2020, 32, 106239. [Google Scholar] [CrossRef]
- Slimani, M.; Znazen, H.; Tod, D. Effects of home-confinement during the COVID-19 outbreak on quality of life: Enjoyment and satisfaction and lifestyle behaviours. Acta Med. Mediterr. 2021, 37, 1949. [Google Scholar] [CrossRef]
- Slimani, M.; Paravlic, A.; Mbarek, F.; Tod, D. The relationship between physical activity and quality of life during the confinement induced by COVID-19 outbreak: A pilot study in Tunisia. Front. Psychol. 2020, 11, 1882. [Google Scholar] [CrossRef]
- Ricciardelli, R.; Power, N.G. How “conditions of confinement” impact “conditions of employment”: The work-related well-being of provincial correctional officers in Atlantic Canada. Violence Vict. 2020, 35, 88–107. [Google Scholar] [CrossRef]
- Kilani, H.A.; Bataineh, M.F.; Al-Nawayseh, A.; Atiyat, K.; Obeid, O.; Abu-Hilal, M.M.; Mansi, T.; Al-Kilani, M.; Al-Kitani, M.; El-Saleh, M.; et al. Healthy lifestyle behaviours are major predictors of mental wellbeing during COVID-19 pandemic confinement: A study on adult Arabs in higher educational institutions. PLoS ONE 2020, 15, e0243524. [Google Scholar] [CrossRef] [PubMed]
- Bivia-Roig, G.; La Rosa, V.L.; Gomez-Tebar, M.; Serrano-Raya, L.; Amer-Cuenca, J.J.; Caruso, S.; Commodari, E.; Barrasa-Shaw, A.; Lison, J.L. Analysis of the impact of the confinement resulting from COVID-19 on the lifestyle and psychological wellbeing of Spanish pregnant women: An internet-based cross-sectional survey. Int. J. Environ. Res. Public Health 2020, 17, 5933. [Google Scholar] [CrossRef] [PubMed]
- Ammar, A.; Trabelsi, K. Effects of home confinement on mental health and lifestyle behaviours during the COVID-19 outbreak: Insights from the ECLB-COVID19 multicentre study. Biol. Sport 2021, 38, 9–21. [Google Scholar] [CrossRef]
- Domino, G.; Domino, M.L. Psychological Testing: An Introduction; Cambridge University Press: New York, NY, USA, 2006. [Google Scholar]
- Campbell, D.T.; Fiske, D.W. Convergent and discriminant validation by the multitrait-multimethod matrix. Psychol. Bull. 1959, 56, 81. [Google Scholar] [CrossRef] [Green Version]
- Campbell, D.T. Recommendations for APA test standards regarding construct, trait, or discriminant validity. Am. Psychol. 1960, 15, 546. [Google Scholar] [CrossRef]
- Lott, Y. Working-time flexibility and autonomy: A European perspective on time adequacy. Eur. J. Ind. Relat. 2015, 21, 259–274. [Google Scholar] [CrossRef]
- Janssen, D.; Nachreiner, F.C. Health and psychosocial effects of flexible working hours. Rev. Saude Publica 2004, 38, 11–18. [Google Scholar] [CrossRef] [Green Version]
- Glowacka, M.A. Little less autonomy? The future of working time flexibility and its limits. Eur. Labour Law J. 2020, 12, 113–133. [Google Scholar] [CrossRef]
- Anatasi, A. Essentials of Psychological Testing, 2nd ed.; Harper & Row Publishers: New York, NY, USA, 1960. [Google Scholar]
Measures | Cronbach’s Alpha |
---|---|
Well-being Scale (WeBS) | 0.92 |
Satisfaction with Family Life Scale (SWFL) | 0.85 |
Mindfulness Attention Awareness Scale (MAAS) | 0.95 |
Utrecht Engagement Scale (UES) | 0.96 |
World Health Organization Quality of Life-BREF (WHOQOL-BREF) | 0.91 |
Short Multidimensional Inventory Lifestyle Evaluation-Confinement (SMILE-C) | 0.83 |
Items for SMILE-C | r (Total SMILE-C) |
---|---|
1. Do you eat processed food (frozen food, such as pizza, French fries, puff pastries, deep-fried food, and canned foods)? | 0.00 |
2. Do you eat fast food, high-calorie sweet or fatty foods when you are stressed or sad? | 0.29 ** |
3. Do you eat healthy foods, such as fresh fruits, fresh vegetables, wholegrains, legumes, or nuts? | 0.47 ** |
4. Do you keep a regular meal schedule? | 0.60 ** |
5. Do you share your main meals with friends or family? | 0.55 ** |
6. Do you smoke tobacco (cigarette, electronic cigarette, cigar, pipe, smokeless tobacco)? | 0.19 * |
7. Do you use marijuana or hashish? | 0.32 ** |
8. Do you use other drugs (cocaine, crack, amphetamines, ecstasy, opioids without medical prescription, and others? | 0.26 ** |
9. Do you exercise for at least 30 min daily (or 150 min) a week? | 0.24 ** |
10. Do you make time to relax? | 0.47 ** |
11. Do you use any strategy or psychological support to deal with stress (for instance meditation, mindfulness, or psychotherapy)? | 0.27 ** |
12. Do you use physical strategies to deal with stress (for instance yoga, tai chi, exercise)? | 0.31 ** |
13. Do you practice a faith or religion? | 0.49 ** |
14. Do you feel that your life has meaning? | 0.58 ** |
15. Do you feel grateful for the life you have? | 0.57 ** |
16. Do you manage to sleep between 7 and 9 h per night? | 0.59 ** |
17. Do you feel rested with the number of hours you sleep? | 0.61 ** |
18. Do you maintain a regular sleep schedule? | 0.57 ** |
19. Do you use sleeping pills? | 0.33 ** |
20. Do you interact with friends and/or relatives? | 0.62 ** |
21. Do you feel that you are part of a group of friends, the community or society? | 0.68 ** |
22. Do you have someone you trust who listens to your problems or concerns? | 0.66 ** |
23. Do you have someone to help with everyday chores (for instance cooking, housekeeping, shopping)? | 0.43 ** |
24. Do you enjoy your leisure time? | 0.70 ** |
25. Do you make yourself available to support your significant ones? | 0.68 ** |
26. Do you spend time on a computer/smartphone within one hour of going to sleep? | 0.02 |
Measures | SMILE-C |
---|---|
Well-being Scale (WeBS) | 0.60 ** |
Satisfaction with Family Life Scale (SWFL) | 0.50 ** |
Mindfulness Attention Awareness Scale (MAAS) | 0.45 ** |
World Health Organization Quality of Life-BREF (WHOQOL-BREF) | 0.62 ** |
Dimensions of SMILE-C | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
---|---|---|---|---|---|---|---|---|---|---|---|
1. Diet and nutrition | - | ||||||||||
2. Substance use | 0.08 | - | |||||||||
3. Physical activities | 0.25 ** | −0.17 | - | ||||||||
4. Stress management | 0.32 ** | 0.13 | 0.12 | - | |||||||
5. Restorative sleep | 0.46 ** | 0.08 | 0.10 | 0.41 ** | - | ||||||
6. Social support | 0.50 ** | 0.15 | 0.06 | 0.58 ** | - | ||||||
7. Environmental exposures (screen time/outdoor time) | 0.18 | −0.05 | 0.06 | −0.11 | −0.06 | −0.17 | - | ||||
8. Physical QOL | 0.48 ** | −0.05 | 0.15 | 0.34 ** | 0.49 ** | 0.54 ** | −0.01 | - | |||
9. Psychological QOL | 0.31 ** | −0.19 * | 0.10 | 0.36 ** | 0.33 ** | 0.45 ** | 0.03 | 0.62 ** | − | ||
10. Social relationship QOL | 0.41 ** | −0.12 | 0.24 ** | 0.40 ** | 0.55 ** | 0.52 ** | −0.02 | 0.73 ** | 0.64 ** | − | |
11. Environmental QOL | 0.39 ** | −0.11 | 0.15 | 0.44 ** | 0.36 ** | 0.59 ** | −0.06 | 0.66 ** | 0.70 ** | 0.73 ** | − |
Dimension of SMILE-C | r (UES) |
---|---|
Diet and nutrition | 0.20 * |
Substance use | −0.06 |
Physical activities | 0.26 ** |
Stress management | 0.27 ** |
Restorative sleep | 0.20 * |
Social support | 0.28 ** |
Environmental exposures (screen time/outdoor time) | 0.02 |
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Share and Cite
Abdul Kadir, N.B.; Ismail, W.N.K.; Abdullah, N.-A.; Helma, R.; Abdul Jalil, S.J.; Che Kasim, A.; Hoesni, S.M.; Manaf, M.R.A. Criterion Validity and Psychometric Properties of a Malay Version of the Short Multidimensional Inventory Lifestyle Evaluation-Confinement (SMILE-C) in a Sample of University Staff with Weight Problems. Int. J. Environ. Res. Public Health 2021, 18, 10410. https://doi.org/10.3390/ijerph181910410
Abdul Kadir NB, Ismail WNK, Abdullah N-A, Helma R, Abdul Jalil SJ, Che Kasim A, Hoesni SM, Manaf MRA. Criterion Validity and Psychometric Properties of a Malay Version of the Short Multidimensional Inventory Lifestyle Evaluation-Confinement (SMILE-C) in a Sample of University Staff with Weight Problems. International Journal of Environmental Research and Public Health. 2021; 18(19):10410. https://doi.org/10.3390/ijerph181910410
Chicago/Turabian StyleAbdul Kadir, Nor Ba’yah, Wan Nur Khairunnisa Ismail, Nurul-Azza Abdullah, Rusyda Helma, Siti Jamiaah Abdul Jalil, Arena Che Kasim, Suzana Mohd Hoesni, and Mohd Rizal Abdul Manaf. 2021. "Criterion Validity and Psychometric Properties of a Malay Version of the Short Multidimensional Inventory Lifestyle Evaluation-Confinement (SMILE-C) in a Sample of University Staff with Weight Problems" International Journal of Environmental Research and Public Health 18, no. 19: 10410. https://doi.org/10.3390/ijerph181910410