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New participants’ demographic suggestions, such as sex, degrees height, university band and you will SES, was also accumulated

New participants’ demographic suggestions, such as sex, degrees height, university band and you will SES, was also accumulated

Demographic guidance.

Inside the Hong kong, secondary school people was divided in to about three university rings-groups step 1, 2 and you can step 3 in line with their informative achievement. The latest scaled external and internal assessment marks of all of the people have been bought. Then they was equally split into three university bands and you can allocated in order to secondary schools, for every single comprising one third of final number of youngsters . Into the SES, monthly household revenues of HK$ 0–fourteen,999, HK$fifteen,000–31,999 and you will HK$>31,100 denoted the lower-, medium- and high-money group, correspondingly. The fresh new average-income category earns the new median monthly home-based domestic money .

Statistical data

Pearson’s Tool-Moment Relationship was applied so you can calculate the new correlations between your qualities out of sensed PL and you will PA account. Multiple regression study was utilized to examine the fresh relationship amongst the detected PL and you may PA amounts of those individuals participants. Detailed analytics of participants’ group guidance, such gender, amounts peak (junior and you will elder supplementary), college or university ring and SES was in fact thought on Pearson’s Equipment-Time Relationship to help you calculate new relationship anywhere between identified PL and you can PA profile. This new z-results involving the correlations was calculated to examine if or not those people examples was basically significantly various other . SPSS variation twenty-two having Window was used toward investigation data. The depend on level is actually put as 95% (P ? 0.05) to keep up statistical accuracy.


The adolescents stated its seen PL normally as (±2.dos2), (±dos.11) and you may (±step 1.90) to the about three section, ‘sense of worry about and you can self-confidence’, ‘self-phrase and you may communications that have others’ and you may ‘studies and you can understanding’, respectively. Its mediocre day-after-day PA some time and intensity is 74 minutes from the a walking rate, having 34 moments during the an average rate and you can twenty-seven moments at a strenuous speed, hence fulfilled the rules suggesting no less than one hour every day away from involvement in every MVPA (61 minutes). Enough time spent in almost any PA domain names is actually normally, 47 times in school, 17 times yourself, 66 moments throughout transportation and you may forty eight minutes during 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) = colombiancupid, 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 party following looked the factors out of sex, degree peak, school ring and you will SES and their affect the relationship ranging from imagined PL and you can PA profile, given that shown inside Desk step three. The groups demonstrated tall undoubtedly correlations between identified PL and you can PA.

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