The fresh new participants’ market recommendations, such as for instance sex, amount peak, college ring and SES, has also been accumulated

Market recommendations.

From inside the Hong-kong, middle school people try split up into about three university groups-bands step one, dos and you can step 3 according to their instructional end. The newest scaled external and internal testing scratching of all of the youngsters was purchased. Chances are they were similarly divided in to about three school rings and assigned in order to supplementary schools, for each and every composed of one third of your own final number regarding college students . On SES, month-to-month household profits off HK$ 0–14,999, HK$fifteen,000–30,999 and HK$>30,000 denoted the low-, medium- and you can higher-income class, respectively. The fresh new medium-money group earns the newest average month-to-month domestic household earnings .

Mathematical analysis

Pearson’s Device-Second Relationship was applied to help you calculate new correlations amongst the attributes out-of detected PL and you may PA membership. Several regression studies was utilized to examine the fresh organization between your imagined PL and you can PA quantities of people professionals. Descriptive statistics of your participants’ market information, eg gender, grade peak amino (junior and you can elderly second), college or university band and you will SES was basically sensed on Pearson’s Product-Second Correlation in order to calculate the newest relationship ranging from seen PL and you can PA accounts. New z-results within correlations was indeed determined to examine whether or not the individuals examples were significantly different . SPSS version twenty-two to possess Windows was utilized toward analysis data. New believe peak was lay just like the 95% (P ? 0.05) in order to maintain analytical reliability.

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The latest teens said its identified PL normally once the (±2.22), (±dos.11) and you can (±step 1.90) towards about three areas, ‘sense of notice and you can notice-confidence’, ‘self-term and you can communications that have others’ and you may ‘training and you will understanding’, respectively. The average everyday PA time and strength is actually 74 times within a strolling speed, having 34 moments at the a media speed and twenty-seven minutes from the a strenuous speed, and that satisfied the rules indicating at the very least one hour every day out-of involvement in just about any MVPA (61 moments). The full time invested in almost any PA domains is actually an average of, 47 times in school, 17 minutes in the home, 66 times through the transportation and you can forty eight moments throughout 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 cluster after that explored the factors off sex, amount top, university ring and you can SES as well as their effect on the relationship ranging from detected PL and you can PA levels, given that revealed from inside the Table step three. Every organizations presented high certainly correlations between identified PL and PA.