Multilevel factors associated with physical activity participation among Thai university students

Amornsriwatanakul, Areekul; Rahman, Hanif Abdul; Katewongsa, Piyawat; Chaiyasong, Surasak; Charoenwattana, Sukanya; Chupradit, Supat; Ivanovitch, Katiya; Rodjarkpai, Yuvadee; Sriboonma, Krissachai; Sudnongbua, Supaporn; Wattanapisit, Apichai; Kasemsab, Vijj

doi:10.1016/j.pmedr.2023.102510

Cited by 1 publication

(1 citation statement)

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“…The benefits of physical activity in preventing and treating a variety of chronic diseases, such as obesity, hypertension, and diabetes, among others [28,29], are supported by numerous studies [24,30,31], giving physical activity a major role in the control of morbidity and premature mortality caused by chronic noncommunicable diseases [32,33]. Although, as Hootman et al [34], O'Regan et al [35] and Walsh et al [36] pointed out, the decline in physical activity in adulthood should not be overlooked.…”

Section: Introductionmentioning

confidence: 99%

Association between Quality of Life, Confinement, and Sex in Adults: A Multigroup Structural Equation Analysis

Zurita-Ortega,

Galeano-Rojas,

Tenelanda-López

et al. 2024

Healthcare

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The state of confinement during the COVID-19 pandemic affected the quality of life of the general population. This study aims to define and contrast an explanatory model of the quality of life in adults and to analyze the relationships between these variables based on the state of confinement and sex. A total of 872 people from Chile aged between 17 and 50 (M = 21.70 years; SD= 3.272), of both sexes (60.90% male and 39.1% female) participated in this research, of whom 46.6% were not confined when tested and 53.4% were confined, analyzing the quality of life. A model of multi-group structural equations was performed, which adjusted very well (χ2 = 559.577; DF = 38; p < 0.001; IFC = 0.934; NFI = 0.916; IFI = 0.934; RMSEA = 0.061). The results show a positive and direct relationship among all the variables studied and the structural equation model proposed according to confinement and sex reveals a good fit in all the evaluation indexes. Stress and sleep, personality, and introspection were the indicators with the greatest influence in the four models, followed by the family and friends indicator with a medium correlation strength, such as the health monitoring dimension, although this was not as influential in confined individuals. The main conclusions are that the best adjustments are obtained in confined adults and females, and the data show that the psychological indicators obtained (stress and sleep, personality, and introspection) have the greatest influence on adults in the four models proposed with regard to their quality of life.

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