New participants’ group information, eg sex, values top, college band and you can SES, has also been compiled

New participants’ group information, eg sex, values top, college band and you can SES, has also been compiled

Demographic pointers.

For the Hong-kong, middle school youngsters try divided into about three college bands-bands step one, 2 and you will step three in accordance with the academic completion. The scaled internal and external research scratches of all of the students was in fact purchased. Then they was indeed equally divided in to about three school groups and you may allocated to help you supplementary schools, for each and every including 1 / 3rd of the final number of people . Into the SES, monthly household incomes out of HK$ 0–fourteen,999, HK$fifteen,000–31,999 and HK$>29,100 denoted the low-, medium- and you can high-income classification, respectively. The average-money classification brings in new average month-to-month home-based household money .

Statistical analysis

Pearson’s Unit-Minute Relationship was utilized to help you compute the brand new correlations within functions from identified PL and PA levels. Multiple regression studies was applied to examine the fresh organization between your detected PL and PA quantities of people users. Descriptive statistics of one’s participants’ market information, particularly sex, values peak (junior and you can elderly second), school band and SES was sensed regarding Pearson’s Product-Minute fuck marry kill Relationship so you can calculate brand new relationship anywhere between seen PL and you will PA membership. The fresh z-results amongst the correlations were determined to examine if men and women products was basically notably some other . SPSS adaptation twenty-two getting Windows was used into studies analysis. Brand new count on height was put as the 95% (P ? 0.05) to maintain analytical precision.


The fresh adolescents advertised the imagined PL on average since the (±dos.22), (±dos.11) and you will (±1.90) on about three areas, ‘feeling of self and you may notice-confidence’, ‘self-expression and you may communication having others’ and ‘knowledge and you may understanding’, correspondingly. The average each and every day PA some time and strength was 74 moments at the a taking walks rate, with 34 minutes during the a method speed and you can twenty seven times on a vigorous speed, and this satisfied the rules suggesting at least 1 hour just about every day off contribution in any MVPA (61 times). The amount of time invested in numerous PA domains are typically, 47 moments at school, 17 times at home, 66 moments during the transport and 48 minutes throughout recreation.

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 up coming looked elements away from sex, degree peak, college or university band and you will SES in addition to their affect the relationship between detected PL and PA account, because revealed for the Desk 3. Most of the teams exhibited significant absolutely correlations anywhere between identified PL and you may PA.

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