Steps to and correlates of health-enhancing physical activity in adulthood: An intercultural study between German and Chinese individuals

Duan, Yanping; Brehm, Walter; Strobl, Helmut; Tittlbach, Susanne; Huang, Zhijian; Yan, Gang

doi:10.1016/j.jesf.2013.07.001

Cited by 12 publications

(63 citation statements)

References 30 publications

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“…Six psychosocial indicators. All questionnaires using the six psychosocial indicators have been well validated in previous studies among the Chinese adult population [17,38,39]. In addition, analysis of data from a pilot test targeting 73 office-based employees (male = 38, 52.1%; M = 31.0 yrs, SD = 7.6) showed acceptable reliability of the questionnaires.…”

Section: Methodsmentioning

confidence: 79%

“…Stage algorithm. The stage algorithm of the FIT model is a self-report multiple-choice questionnaire with six statements aiming to categorize individuals into six stages according to their thoughts and behaviors regarding PA behavior [17]. The six stages are titled not-considering, considering, preparing, exploring, fluctuating and maintaining.…”

Section: Methodsmentioning

confidence: 99%

“…A recent exploratory review laid the foundation for PA fluctuation investigation by mapping definitions, measurements and empirical evidence [16]. In particular, this review summarized that PA fluctuation is: 1) primarily defined within the stage model constructs, which elaborate the progression from insufficient PA participation to habitual PA behavior [9,17]; 2) measured accordingly by self-reported stage algorithms [18,19]; and 3) demonstrated by stage distinctiveness among other PA stages [17,20]. Especially regarding the stage distinctiveness of fluctuation, researchers commonly adopt the "inter-stage comparison" paradigm, which compares the differences between fluctuation stage and other PA stages in relation to certain psychosocial variables (e.g., self-efficacy, social support) during the stage transition.…”

Section: Introductionmentioning

confidence: 99%

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Psychosocial profiles of physical activity fluctuation in office employees: A latent profile analysis

et al. 2020

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Objectives Fluctuation is a common but neglected phenomenon of physical activity (PA) behavior. This study aimed to explore the psychosocial profiles of PA fluctuation in office employees, and to examine the association of latent profiles with demographics and PA level. Method 434 Chinese office employees who were identified as PA fluctuators (M = 32.4 years, SD = 6.9, 55.5% female) completed a cross-sectional online survey covering demographics, PA behavior, and six psychosocial indicators (self-efficacy, planning, action control, affective attitude, social support, and perceived barriers). Latent profile analysis was used to determine PA fluctuators' psychosocial profiles. Associated factors of profile membership were identified with multinomial logistic regression. Results The two-profile model (uncommitted vs. moderately committed) was selected as the best solution. The moderately committed group (n = 346, 79.7%) possessed a more active mindset by reporting significantly higher scores of self-efficacy (t = 9.42 p < .001), planning (t = 16.33 p < .001), action control (t = 14.55 p < .001), affective attitude (t = 13.33 p < .001), and social support (t = 11.50 p < .001) compared with the uncommitted group (n = 88, 20.3%). Results from a multinomial logistic regression showed that the moderately committed profile was associated with normal weight status (OR = 2.00, p< .05), having a medium managerial position (OR = 2.54, p< .01), and high level of moderate to vigorous PA behavior (OR = 4.85, p< .001).

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Section: Methodsmentioning

confidence: 79%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Psychosocial profiles of physical activity fluctuation in office employees: A latent profile analysis

et al. 2020

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“…Self-efficacy was measured with the stem "I am confident that I can participate in PBPA even if …." followed by 5 items such as "… I am tired", "...I feel depressed" [33,34]. Social support was measured with the stem "My family or my friends …" followed by 3 items such as "… do physical activity in park with me" [33].…”

Section: Measures Of Outcome and Potential Determinantsmentioning

confidence: 99%

“…followed by 5 items such as "… I am tired", "...I feel depressed" [33,34]. Social support was measured with the stem "My family or my friends …" followed by 3 items such as "… do physical activity in park with me" [33]. Perceived benefits were measured with the stem "If I participate PA in parks, I will …" followed by 13 items such as "… feel less depressed and/ or bored", "… build up my muscle strength" [21].…”

Section: Measures Of Outcome and Potential Determinantsmentioning

confidence: 99%

Association of psychosocial and perceived environmental factors with park-based physical activity among elderly in two cities in China and Germany

et al. 2020

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Background: Urban parks play an important role in promoting physical activity (PA) among adults and especially among older city residents. According to the socioecological approach the association of physical environments and psychosocial factors in the context of park-based PA of elderly have not been systematically examined until now, let alone the relevance of the city (urban area) on a cross-cultural level. This study investigated selected aspects of (1) the association of psychosocial and park environmental factors with park-based physical activity (PBPA) of older people; and (2) the moderating effect of city on the association of these factors with PBPA. Methods: A face-to-face survey was conducted of a mixed-culture sample from different urban surroundings in Hong Kong (HK) and Leipzig (L). In six parks of each city physically active elderly (> = 60 years; HK: n = 306; L: n = 311) were recruited. Multiple linear regressions were used to analyse the association between psychosocial factors and perceived environmental factors with PBPA and the moderating effect of city. Results: Controlled for demographic variables, all other psychosocial factors were significantly related to PBPA, except social support. In terms of environmental factors, PBPA was positively associated with safety, attractiveness, features and negatively associated with park time distance. Controlled for demographic variables, psychosocial and environmental factors, the moderating effect of city on the associations of park features and park time distance with PBPA was not significant in HK. In contrast, there was a significant positive relationship for park features and a negative relationship for park time distance with PBPA in L. Conclusions: Psychosocial and perceived environmental factors significantly influence PBPA of older people. City moderates the associations of these factors and independently contributes to park-based PA of the elderly. The different interactions of environmental factors and urban area for PBPA of elderly can support policy makers on the municipal level in choosing adequate strategies for promoting PA of older people in parks.

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Physical activity areas in urban parks and their use by the elderly from two cities in China and Germany

Duan

Wagner

Zhang

et al. 2018

Landscape and Urban Planning

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Steps to and correlates of health-enhancing physical activity in adulthood: An intercultural study between German and Chinese individuals

Cited by 12 publications

References 30 publications

Psychosocial profiles of physical activity fluctuation in office employees: A latent profile analysis

Psychosocial profiles of physical activity fluctuation in office employees: A latent profile analysis

Association of psychosocial and perceived environmental factors with park-based physical activity among elderly in two cities in China and Germany

Physical activity areas in urban parks and their use by the elderly from two cities in China and Germany

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