The participants’ group pointers, eg gender, levels top, university ring and you may SES, has also been accumulated

The participants’ group pointers, eg gender, levels top, university ring and you may SES, has also been accumulated

Group information.

In the Hong kong, middle school people try put into around three university rings-rings step 1, dos and step 3 in accordance with their instructional achievement. The newest scaled external and internal testing marks of all of the children were purchased. Chances are they was basically similarly divided into about three college rings and you may allocated to second schools, per including one third of final amount of children . For the SES, monthly family revenue regarding HK$ 0–fourteen,999, HK$15,000–31,999 and you will HK$>30,one hundred thousand denoted the reduced-, medium- and you will higher-income classification, correspondingly. The fresh new medium-earnings category produces the fresh median month-to-month residential family money .

Statistical study

Pearson’s Unit-Second Relationship was applied so you can compute the latest correlations within qualities out-of seen PL and you can PA account. Several regression analysis was utilized to examine the new organization between your detected PL and you will PA degrees of those people participants. Descriptive statistics of your participants’ demographic advice, including gender, amounts level (junior and you will older additional), school ring and SES had been experienced on Pearson’s Product-Second Relationship in order to calculate this new correlation between detected PL and you will PA levels. The newest z-scores between the correlations was in fact calculated to look at if those individuals trials was basically notably some other . SPSS variation twenty-two to have Window was utilized with the analysis analysis. The brand new trust level are put due to the fact 95% (P ? 0.05) to keep statistical precision.


The latest teens reported their observed PL normally due to the fact (±dos.dos2), (±dos.11) and you may (±step one.90) to the about three portion, ‘sense of thinking and you may self-confidence’, ‘self-term and interaction having others’ and ‘training and you will understanding’, respectively. Its average everyday PA some time and power was 74 moments from the a strolling pace, having 34 minutes during the an average pace and you can 27 times at a strenuous rate, and that fulfilled the principles recommending about one hour every single day off involvement in virtually any MVPA (61 moments). The full time spent in almost any PA domain names is an average of, 47 minutes at school, 17 minutes yourself, 66 minutes throughout the transport and forty eight times 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 research team upcoming explored elements from gender, grade height, college band and you will SES as well as their effect on the relationship between seen PL and you can PA profile, as found for the Dining table step 3. Every organizations exhibited extreme certainly correlations between understood PL and you may PA.

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