The new participants’ market suggestions, including sex, values level, university ring and you can SES, has also been amassed
Market information.
When you look at the Hong-kong, middle school students is split into around three college bands-groups step 1, 2 and 3 in line with its educational end. This new scaled external and internal analysis scratching of the many youngsters had been ordered. Chances are they were similarly divided into about three college groups and you may designated in order to second universities, per including 1/3rd of total number off students . Towards SES, month-to-month household incomes off HK$ 0–14,999, HK$15,000–30,999 and HK$>29,100 denoted the reduced-, medium- and you may highest-income category, respectively. New typical-earnings group produces the fresh median monthly residential household income .
Analytical study
Pearson’s Equipment-Minute Correlation was applied to help you compute brand new correlations between vgl your qualities of perceived PL and you can PA account. Multiple regression research was applied to look at brand new connection amongst the perceived PL and you can PA degrees of men and women players. Detailed analytics of your own participants’ market pointers, eg intercourse, degree peak (junior and you will senior supplementary), university ring and you may SES were considered about Pearson’s Device-Second Relationship in order to compute the newest relationship ranging from detected PL and you may PA account. The fresh z-scores amongst the correlations have been computed to look at whether or not those people products was indeed notably other . SPSS type twenty-two having Windows was utilized on the analysis research. The fresh new trust height is actually put because the 95% (P ? 0.05) to maintain statistical precision.
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The new adolescents said its sensed PL normally because (±dos.dos2), (±dos.11) and you can (±step 1.90) towards the around three components, ‘sense of mind and you will thinking-confidence’, ‘self-phrase and you may correspondence with others’ and ‘training and understanding’, respectively. Its average day-after-day PA some time strength are 74 minutes within a taking walks rate, which have 34 times from the an average pace and you can 27 moments within a vigorous speed, and therefore met the principles indicating at least an hour every day out of contribution in almost any MVPA (61 minutes). The amount of time spent in almost any PA domains are typically, 47 times in school, 17 moments yourself, 66 minutes while in the transport and you can 48 minutes while in the athletics.
Table 1 shows the significant correlations between the perceived PL and PA levels (r = 0.227, p < 0.01) of the Hong Kong adolescents measured by the PPLI and IPAQ-A. Although the correlations are modest, components of perceived PL, intensities of PA levels and three domains (school, transportation, and recreation) of PA were significantly correlated (r = 0.067–0.292, p < 0.01). No significant correlation was found for the home domain.
A multiple linear regression was calculated to predict the PA levels of participants based on their perceived PL attributes. Preliminary analyses were performed to ensure no violations of the assumptions of normality, linearity and multicollinearity. Table 2 shows the significant regression equation (F (3, 1941) = , p < 0.01), with an R 2 of 0.052. The participants predicted PA levels were –5490 + 366.1 (sense of self and self-confidence) + (self-expression and communication with others) + (knowledge and understanding) MET minutes when the attributes of perceived PL were measured on a 5-point Likert Scale. The results showed that sense of self and self-confidence (? = 0.123, p = 0.000), self-expression and communication with others (? = 0.071, p = 0.003) and knowledge and understanding (? = 0.082, p = 0.007) were positively related to PA level. The participants' mean PA levels increased by 366.1, and MET minutes for each attribute score of perceived PL. All attributes of perceived PL were significant predictors of PA level.
The analysis party then explored the standards of gender, level height, college or university band and you may SES as well as their affect the relationship between perceived PL and you will PA profile, given that shown when you look at the Dining table step 3. All the communities showed significant undoubtedly correlations between detected PL and PA.
