The fresh participants’ market suggestions, such as for example intercourse, levels level, school ring and SES, has also been accumulated

Demographic recommendations.

Inside Hong-kong, secondary school pupils was split up into around three college groups-rings step one, 2 and you will step three in line with its educational achievement. The newest scaled internal and external comparison scratching of the many children have been bought. Then they was basically similarly divided in to around three college groups and you can assigned in order to second schools, for each including 1 / 3rd of one’s final amount out-of college students . On the SES, month-to-month home revenue out of HK$ 0–fourteen,999, HK$fifteen,000–31,999 and HK$>30,100000 denoted the low-, medium- and highest-income category antichat, correspondingly. The fresh new medium-money class produces the fresh median monthly home-based home money .

Mathematical analysis

Pearson’s Tool-Time Correlation was utilized so you can compute the correlations within attributes from identified PL and you can PA account. Multiple regression investigation was used to look at this new relationship amongst the perceived PL and PA degrees of men and women users. Descriptive analytics of your participants’ market suggestions, such sex, amounts peak (junior and you may senior second), college or university band and SES were noticed throughout the Pearson’s Unit-Minute Correlation in order to compute brand new correlation ranging from imagined PL and you may PA profile. The latest z-score between your correlations had been determined to look at if or not the individuals examples were somewhat additional . SPSS variation 22 to possess Window was utilized to your data research. The latest confidence height was put due to the fact 95% (P ? 0.05) in order to maintain analytical accuracy.

Efficiency

The fresh new teenagers stated the seen PL on average given that (±dos.2dos), (±dos.11) and you may (±step one.90) with the around three portion, ‘feeling of worry about and care about-confidence’, ‘self-expression and you may telecommunications with others’ and you can ‘training and you will understanding’, respectively. Their mediocre every day PA some time strength is 74 minutes within a taking walks rate, that have 34 moments during the a medium rate and twenty-seven minutes on an energetic rate, which found the principles suggesting no less than 60 minutes a-day away from contribution in virtually any MVPA (61 times). The full time spent in almost any PA domain names is normally, 47 moments at school, 17 minutes yourself, 66 times during the transport and you may forty eight times 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 analysis group then browsed elements away from sex, degree top, college ring and SES in addition to their affect the connection between identified PL and you can PA accounts, as found inside Dining table 3. Most of the teams presented extreme seriously correlations between detected PL and you can PA.