The fresh participants’ demographic recommendations, including intercourse, degree peak, school ring and you will SES, was also accumulated

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The fresh participants’ demographic recommendations, including intercourse, degree peak, school ring and you will SES, was also accumulated

The fresh participants’ demographic recommendations, including intercourse, degree peak, school ring and you will SES, was also accumulated

Market recommendations.

Into the Hong kong, secondary school pupils is actually divided into about three college or university rings-rings step 1, 2 and you will step three in accordance with their educational conclusion. Brand new scaled internal and external evaluation scratches of all college students were bought. They was similarly split into three school bands and you can allocated to additional colleges, for every consisting of 1/3rd of final amount from college students . For the SES, month-to-month house earnings off HK$ 0–14,999, HK$15,000–30,999 and you can HK$>29,000 denoted the reduced-, medium- and you may high-income group, correspondingly. New typical-money classification earns the newest average month-to-month home-based household income .

Analytical research

Pearson’s Tool-Minute Correlation was applied so you can calculate the correlations amongst the features out-of observed PL and you will PA account. Several regression research was utilized to examine the relationship between the observed PL and you can PA amounts of those individuals members. Detailed statistics of participants’ group pointers, eg sex, stages height (junior and you can senior supplementary), university ring and you will SES had been felt on Pearson’s Tool-Moment Correlation to help you calculate the correlation between detected PL and you can PA membership. The fresh new z-scores between the correlations was indeed calculated to look at whether men and women trials had been significantly various other . SPSS type 22 to own Windows was utilized into the studies analysis. Brand new rely on peak was put because 95% (P ? 0.05) to maintain analytical accuracy.


The latest adolescents advertised their seen PL an average of as the (±dos.22), (±dos.11) and you can (±step 1.90) into around three components, ‘sense of self and you can mind-confidence’, ‘self-term and interaction with others’ and ‘studies and understanding’, respectively. Their average each day PA time and power is actually 74 times in the a taking walks pace, that have 34 minutes within a medium speed and you will 27 minutes during the a strenuous rate, hence found the rules indicating at least an hour each and every day from involvement in virtually any MVPA (61 minutes). The time invested in numerous PA domain names is typically, 47 moments in school, 17 moments in the home, 66 minutes throughout the transport and you will forty eight minutes during the sport.

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 study cluster then searched elements regarding intercourse, levels top, university ring and SES as well as their influence on the relationship anywhere between understood PL and you can PA profile, because the shown from inside the Desk step three. The groups displayed tall seriously correlations anywhere between seen PL and you can PA.

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