Trajectories of Physical Activity and Risk Factors Among Taiwanese Older Adults

Pan, Ling Yen; Hsu, Hui‐Chun; Chang, Wen Chiung; Luh, Dih Ling

doi:10.1007/s12529-014-9409-3

Cited by 18 publications

(39 citation statements)

References 23 publications

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“…In this study, four physical activity trajectories (“inactive”, “decreasing”, “increasing”, and “stable active”) were identified among a sample of adults of Turkish descent, living in Berlin. Similar results were reported by Pan et al who described the same PA trajectories in a Taiwanese sample [ 26 ]. Similar trajectories (always sedentary, fast declining, stable moderate, and always active) were reported in a study from the U.S. among a sample of older women aged 70–79 years, however, the authors found no increasing trajectory which was explained with the high age of the study participants [ 41 ].…”

Section: Discussionsupporting

confidence: 90%

“…Similar trajectories (always sedentary, fast declining, stable moderate, and always active) were reported in a study from the U.S. among a sample of older women aged 70–79 years, however, the authors found no increasing trajectory which was explained with the high age of the study participants [ 41 ]. Most studies describe three to four trajectories or patterns [ 19 , 26 , 41 ], and less often more are reported, as in a European study conducted in Spain with more than 1600 participants, reporting very diversified patterns (high PA—consistent, moderate PA—mildly decreasing, low PA—increasing, moderate PA—consistent, and low PA—decreasing) [ 12 ].…”

Section: Discussionmentioning

confidence: 99%

“…In a recent systematic review investigating PA trajectories, male sex, being Caucasian, non-smoking, having low television viewing time, higher socioeconomic status, no chronic illnesses, and family support for PA were positively associated with stable or increasing PA trajectories [ 17 ]. Another study showed associations of education, age, and employment status with PA trajectories [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

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Physical Activity Trajectories among Persons of Turkish Descent Living in Germany—A Cohort Study

Krist

Dornquast

Reinhold

et al. 2020

IJERPH

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Physical activity (PA) behavior is increasingly described as trajectories taking changes over a longer period into account. Little is known, however, about predictors of those trajectories among migrant populations. Therefore, the aim of the present cohort study was to describe changes of PA over six years and to explore migration-related and other predictors for different PA trajectories in adults of Turkish descent living in Berlin. At baseline (2011/2012) and after six years, sociodemographics, health behavior, and medical information were assessed. Four PA trajectories were defined using data of weekly PA from baseline and follow-up: “inactive”, “decreasing”, “increasing”, and “stable active”. Multivariable regression analyses were performed in order to determine predictors for the “stable active” trajectory, and results were presented as adjusted odds ratios (aOR) with 95% confidence intervals (95%CI). In this analysis, 197 people (60.9% women, mean age ± standard deviation 49.9 ± 12.8 years) were included. A total of 77.7% were first-generation migrants, and 50.5% had Turkish citizenship. The four PA trajectories differed regarding citizenship, preferred questionnaire language, and marital status. “Stable active” trajectory membership was predicted by educational level (high vs. low: aOR 4.20, 95%CI [1.10; 16.00]), citizenship (German or dual vs. Turkish only: 3.60 [1.20; 10.86]), preferred questionnaire language (German vs. Turkish: 3.35 [1.05; 10.66]), and BMI (overweight vs. normal weight: 0.28 [0.08; 0.99]). In our study, migration-related factors only partially predicted trajectory membership, however, persons with citizenship of their country of origin and/or with poor language skills should be particularly considered when planning PA prevention programs.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Physical Activity Trajectories among Persons of Turkish Descent Living in Germany—A Cohort Study

Krist

Dornquast

Reinhold

et al. 2020

IJERPH

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“…8 Ku et al 9 draw data from four national surveys comprising 29 226 people and revealed that 86.0% of Taiwanese adults did not meet the national recommendations (at least 90 min/week spent in exercise/sports). Pan et al 10 reported that, among 4018 Taiwanese older adults, 47.8% of the respondents had a high probability of being physically inactive (<90 min/week). Elsewhere in mainland China, Lee et al 11 conducted a study focused on 61 582 urban men in Shanghai and found that 10.7% did not engage in regular exercise/sports (at least once a week for at least 3 months).…”

Section: Introductionmentioning

confidence: 99%

Prevalence and risk factors of physical inactivity among middle-aged and older Chinese in Shenzhen: a cross-sectional study

Zhou

Zhang

et al. 2018

BMJ Open

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ObjectiveInvestigations on physical inactivity are common around the world; however, little is known about the status of physical inactivity in mainland China. The aim of this study was to examine the prevalence and risk factors associated with physical inactivity in Shenzhen in Southern China.DesignA community-based, cross-sectional study.SettingA multistage-stratified, random cluster survey was conducted in Xixiang Street, Bao’an District of Shenzhen in Southeast China.Participants3920 adults aged 40 years or more were recruited to the study and completed the International Physical Activity Questionnaire Short Form between 1 March 2015 and 30 July 2016.Main outcome measuresPhysical inactivity was defined as engaging in physical activity levels insufficient to reach the current guidelines. Bivariate and multivariate analyses were undertaken to assess the prevalence and risk factors associated with physical inactivity.ResultsThe prevalence of physical inactivity was 63.1% for all participants, 63.9% for women and 61.9% for men, respectively. Participants who were older (OR=1.31, 95% CI 1.11 to 1.54), who were female (OR=1.22, 95% CI 1.04 to 1.43), who had higher education experience (OR=1.38, 95% CI 1.19 to 1.61), who are under economic pressure (OR=2.17, 95% CI 1.48 to 3.17), who ever smoked a cigarette (OR=1.44, 95% CI 1.13 to 1.82) and drank alcohol (OR=1.42, 95% CI 1.14 to 1.77), and participants in the lowest body mass index category (OR=1.40, 95% CI 1.03 to 1.89), were more likely to report physical inactivity.ConclusionsThese findings indicate that physical inactivity is prevalent in Southern China. Interventions and programmes aimed at increasing physical activity among middle-aged and older Chinese adults may also be tailored to participants under economic pressure and those with unhealthy behaviours such as smoking and drinking.

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“…Nevertheless, PA declines throughout 57 adolescence, into adulthood, and during the transition toward older age (2,5). While leisure time 58 physical activity (LTPA) patterns over time have been well described (6)(7)(8), a very limited 59 number of studies has examined variations in other PA domains, such as commuting (CPA), 60 occupational (OPA), and household (HPA) (9) and this after the age of retirement (10). Given 61 determinants of PA are domain-specific (11) and susceptible to change over the life course (12), 62 decline in PA could take place at different critical periods for each domains.…”

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confidence: 99%

Relationships between physical activity across lifetime and health outcomes in older adults: Results from the NuAge cohort

Boisvert-Vigneault

Payette

Audet

et al. 2016

Preventive Medicine

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Trajectories of Physical Activity and Risk Factors Among Taiwanese Older Adults

Abstract: There is heterogeneity among the trajectory patterns of physical activity across time in the older adults. Different strategies of physical activity promotion for the older people should be developed by the group characteristics.

Cited by 18 publications

References 23 publications

Physical Activity Trajectories among Persons of Turkish Descent Living in Germany—A Cohort Study

Physical Activity Trajectories among Persons of Turkish Descent Living in Germany—A Cohort Study

Prevalence and risk factors of physical inactivity among middle-aged and older Chinese in Shenzhen: a cross-sectional study

Relationships between physical activity across lifetime and health outcomes in older adults: Results from the NuAge cohort

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