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Prevalence of sufficient MVPA among Thai adults: pooled panel data analysis from Thailand’s surveillance on physical activity 2012–2019

Abstract

Background

The role of data in informing decision makers in formulating policy to improve population health is undeniably important. During the past few years, the Thai government has undertaken continuous health promotion campaigns and programs. Nevertheless, evidence of how physical activity (PA) has improved is lacking. This study aims to present PA prevalence and trends from nationally-representative surveillance data collected during 2012–2019.

Methods

This study employed 8 rounds of Thailand’s Surveillance on Physical Activity (SPA) survey from 2012 to 2019 as a pooled analysis from two-panel data (SPA2012–2016 and SPA2017–2019). Multistage random sampling was applied to select Thai adults aged 18 or over to produce a nationally-representative dataset, by considering the place of residence (urban or rural), gender, and single year of age. Face-to-face interviews using a structured questionnaire were conducted in 5 regions, 13 provinces, and 36 villages to follow up 5648 individuals in Panel 1 (SPA2012–2016) and 6074 persons in Panel 2 (SPA2017–2019).

Results

The prevalence (%) of Thai adults who met WHO recommendations on sufficient PA tended to increase over time, from 66.6 (CI 65–68) in SPA2012 to 70.1 (CI 69–71), 69.5 (CI 68–71), 73.1 (CI 72–74), 70.6 (CI 69–72), 73.0 (CI 72–74), 75.6 (CI 74–77), and 74.3 (73–75) in SPA2013–2019, respectively. Thai females are less physically active than males, and the prevalence of sufficient moderate and vigorous PA (MVPA) was highest among middle-aged adults (35–64 years), and lowest among older adults (65+ years). Work-related PA dominated the cumulative minutes of MVPA per week, followed by recreational PA.

Conclusion

The prevalence of sufficient MVPA has fluctuated over time with a tendency to increase in the most recent years. Work-related is the most common modes of PA among Thai adults, implying further improvement in recreational physical activity is required. Workplace intervention should also be the focus in improving PA of Thai adults by encouraging their work force to engage in more occupational PA.

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Introduction

Health-promoting physical activity (PA) is beneficial for the population of all ages. The new 2020 WHO guidelines on PA and sedentary behavior (SB) recommended an average of 150–300 min of moderate intensity or 75–150 min of vigorous intensity per week for adults to obtain the optimal benefit of PA, particularly in averting all-cause or cardiovascular-related mortality and reducing the incidence of diabetes and cancer [1]. Previous studies also found that individuals with sufficient PA have favorable mental health outcomes [2,3,4] and better quality of life [5, 6].

Globally, it is estimated that 28% of adults do not meet the WHO global recommendations for sufficient PA [1, 7]. The prevalence of insufficient PA varied by region and level of development of the countries, ranging from 4 to 19% in low-income countries such as Nepal, Mozambique, and Kenya, to 24–30% in lower-middle income countries such as India, Indonesia and Srilanka, and higher than 30% among upper-middle and high-income countries [8]. PA also varied by socio-economic status of individuals or families. Individuals from middle- and high-income families are more likely to engaged in recreational PA, whereas individuals from low-middle-income households are more likely to engage in transportation or work-related PA [9].

Considering its high importance, WHO has recommended PA as the best-buy policy in promoting population health [10, 11]. Policies on PA extol its value, not only for health, but also for socio-economic well-being, all of which contribute to the attainment of the Sustainable Development Goals (SDGs). Following the Bangkok Declaration on Physical Activity for Global Health and Sustainable Development 2016, the Thai government set the target that 80% of the population would be sufficiently physically active in 2020 [12]. The national strategy is also in line with the global NCD targets which include a 25% reduction in NCD-related premature mortality, and a 10% reduction in the prevalence of insufficient PA by 2025. The target was drawn from the evidence that physical inactivity was attributed to 1.3% of total Disability Adjusted Life Years (DALY) loss of Thai population [13].

Health promotion campaigns, interventions, and programs to increase PA of the Thai population have been undertaken continuously during the past few years. Nevertheless, the evidence of how PA has improved is still lacking. The existing studies on PA are mainly localized, with relatively small sample sizes that may not be generalizable. While other national surveys with large sample size are also available, there is no publication on PA prevalence since each survey has its own priority. Most published articles employing National Health Examination Surveys (NHES) focused on the prevalence and risk factors of metabolic syndrome such as hypertension, obesity, or diabetes. Sport and Exercise Surveys (2004–2011) failed to cover all PA domains, whereas the 2015 Physical Activity Survey did not use the standardized tools (i.e. GPAQ) in defining PA. In the absence of standardized measures and consistent definition of PA over times, it is difficult to obtain the best estimate of PA level of the population [14, 15].

Given the dearth of national sample data on PA prevalence of the Thai population, this study was conducted to provide estimates PA prevalence and trends from a two-panel dataset extracted from Thailand’s Surveillance of Physical Activity (SPA) 2012–19. As panel data that observes a group of population throughout a certain period of time, the results of the study should be valuable for the Thai government and policy makers, as well as for researchers who are interested in PA of the Thai population. These data should be beneficial in refining strategies and designing interventions to improve population health through PA.

Methods

Study design, population, and sample

This study employed data from 8 rounds of Thailand’s Surveillance on Physical Activity (SPA) from 2012 to 2019 as a pooled analysis from a two-panel dataset (SPA2012–2016 and SPA2017–2019). Designed as a longitudinal study, SPA contains a wealth of information at the individual level, particularly on PA, sedentary behavior, and socio-economic characteristics of the Thai population. Data on special issues related to emerging trends in population health and health promotion were also collected in certain rounds of the SPA.

Multistage random sampling was applied to select Thai adults aged 18 or over from a nationally-representative sample by considering the variance in geographical area (region and urban/rural), gender and age. Face-to-face interviews were conducted in 5 regions, 13 provinces, and 36 villages as repeated measures to follow up 5648 individuals in Panel 1 (SPA2012–2016) and 6074 persons in Panel 2 (SPA2017–2019). The two panels were independent sample, but driven from an identical sampling frame and sampling technique to ensure national representativeness and enable data pooling.

As a longitudinal study with panel-data design, a low attrition rate is an important indicator to ensure the quality of data. The follow-up rate of SPA in Panel 1 was remarkably high throughout the five rounds; 75.0% in SPA2012–2013, 85.2% in SPA2013–2014, 86.5% in SPA2014–2015, and 89.1% in SPA2015–2016. Similarly, the follow up rate in Panel 2 was also considerably high, with an average of 80.7% (80.7% in SPA2017–2018, and 80.6% in SPA2018–2019). Loss to follow-up was mostly due to two reasons: 1) Moved out from the village; or 2) Died. For any case that was lost to follow-up, a person with matched characteristics (gender, age group, occupation) and who lived in the same community was substituted.

Measurement

PA was measured by using the Global Physical Activity Questionnaire (GPAQ) v.2 (Thai version) and expressed as the prevalence of sufficient MVPA. Sufficient MVPA was defined following WHO recommendation of 75-min of vigorous activity, or 150-min of moderate activity, or a combination of the two [16]. The value was calculated from weekly cumulative minutes of MVPA summed up from work-related and recreational PA at moderate and vigorous intensity, and cumulative minutes PA for transportation.

The instrument itself (GPAQ v.2-Thai version) has undergone a validity test in 2003, by involving 832 samples in the actual study sites, and using an activity tracker (Feel-fit accelerometer) developed by Biomedical Engineering Department, Faculty of Engineer, Mahidol University. As the standard measure for tool validation, Feel-fit accelerometer recorded the minutes of movement (MVPA) per day. The correlation of cumulative minutes MVPA measured by questionnaire and the objective measure resulted in a value of 0.809, indicating that GPAQ v.2 Thai version is in acceptable validity level to measure PA of Thai population.

Data analysis

We employed a descriptive statistic such as frequency of distribution, central tendency (mean) and SD to explore the level, draw the trend and patterns of sufficient MVPA by survey year, age group and sex. Prevalence of sufficient MVPA is also presented by socio-demographic characteristics such as gender, age group, occupation, education, marital status, and area of residence (urban/rural). Considering its importance in differentiating PA, the presence of chronic disease (i.e. cancer, diabetes mellitus, cardiovascular diseases, heart disease, hypertension, stroke, high cholesterol, and kidney failure) that diagnosed by a medical doctor was also included in the analysis. Proportion of Thai population with sufficient MVPA in the last survey round (SPA2019) is also presented by domain (work-related, transportation and recreational) to describe PA differentials of Thai adults. Cumulative minutes of MVPA was also presented as additional information whenever necessary.

Ethical approval

The protocol and data collection of SPAs were carried out in accordance with relevant guidelines and regulations. Participants of SPAs were informed of the objectives of the study, their rights to participate or withdraw at their convenience, and indicated their agreement by signing the informed consent. SPAs received ethical approval from the Institute for Population and Social Research of Mahidol University with annual updates: COA. N0. 2016–07-166 (SPA2016), COA. N0. 2017–06-152 (SPA2017), COA. No. 2018.06–192(SPA2018), COA. No. 2019/04–152 (SPA2019).

Results

Prevalence of sufficient MVPA

The proportion of sample was almost equal between genders and urban/rural residents in all SPA rounds. In average, Thai middle-aged adults (35–64) constituted about 60% of the panel, whereas young adults (18–34) and older adults (65+) made up of 25 and 15%, respectively. The majority of sample were married, attained primary education, and occupied in agriculture sector. Compare to baseline (SPA2012), the proportion of Thai adults with chronic disease tended to be lower in the most recent rounds (Supplementary Table 1).

The prevalence of Thai adults who met WHO recommendations for sufficient PA tended to increase over time. At the beginning of Thailand’s SPA in 2012, 66.6% (CI 65–68) of Thai adults have met the guideline. The prevalence increased to 70.1 (CI 69–71), 69.5 (CI 68–71) and 73.1 (CI 72–74) percent during 2013–2015, and then slightly declined in 2016 (Fig. 1). The cumulative minutes of MVPA collected during a typical week showed a fluctuating trend; started at 705 mins (SD = 930, CI 681–730) in the baseline, increased to 828 mins (SD = 1003, CI 803–855) in SPA2013, declined during SPA2014–2016 then escalated in SPA2017–2018 before its fallen in SPA2019 (559 mins, SD = 682, CI 542–576) (Supplementary Table 2).

Fig. 1
figure 1

Prevalence of sufficient MVPA of Thai adults: 2012–2019

Figure 2 presents the proportion of Thai adults engaged in three domains of PA. While the proportion of Thais who engaged in recreational PA was relatively stable between SPA2012 and SPA2018 (33.7 and 49.7%, respectively), there was a significant drop in the proportion of Thais who engaged in work-related PA from SPA2014 to SPA2016 before it rose back in the following years. While all three domains of PA showed a decline in the most recent (2019) round of the SPA, transport-related MVPA was lowest and decreased the most (Fig. 2). Work-related PA dominated the cumulative minutes of MVPA (x̄=493 mins, SD = 785) of total 631 min MVPA per week, followed by recreational PA (x̄=92 mins, SD = 179). Transport-related PA was consistently the least common type (x̄=42 mins, SD = 111) of PA throughout the 8 years of the SPA (Supplementary Table 3).

Fig. 2
figure 2

Proportion of Thai adults engaged in three domains of PA

Socio-demographic characteristics of Thai adults with sufficient MVPA

Thai females are less physically active than their male counterparts. Throughout the eight rounds of the SPA, the prevalence of females with sufficient MVPA was consistently lower than males, ranging from 63.6 (CI 62–65) in SPA2012 to 72.5 (CI 71–74) percent in SPA2019. Among Thai males, there has been a fluctuating pattern with a tendency to increase over time, with the lowest prevalence of sufficient MVPA in SPA2012 (71.1%, CI 69–73), SPA2014 (72.1%, CI 70.3–74), and SPA2016 (73.6%, CI 71.9–75.4), whereas the highest prevalence was reported in SPA2018 (79.4%, CI 78–81) (Fig. 3a, Table 1).

Fig. 3
figure 3

Prevalence of sufficient MVPA by gender and age group

Table 1 Prevalence of sufficient MVPA by socio-demographic characteristic of Thai adults

The prevalence of sufficient MVPA was highest among middle-aged adults (35–64 years), and the lowest among older adults (65+ years) (Fig. 3b). The proportion of young adults with sufficient MVPA was relatively stable from SPA2012 to SPA2016, but showed a slight increase afterward. Although the prevalence of sufficient MVPA was the lowest among other age groups, the proportion of older adults who met the recommended PA level tended to increase in the most recent rounds of the SPA. Detailed cumulative minutes of MVPA by gender and age group is available in the Supplementary Tables 4 and 5.

By marital status, the prevalence of sufficient MVPA was the highest among the married, and lowest among individuals who had separated from their spouse, or were divorced or widowed. The prevalence of single persons who met the guideline was relatively stable, between 66.1 (CI 63–69) to 68.1 (CI 65.1–71) percent in SPA2012–2016, and slightly increased to 70.1 (CI 68–73), 72.9 (CI 71–75) and 71.7 (CI 69–74) percent in SPA2017–2019, respectively (Table 1).

Compared to those who attained secondary education or higher, the prevalence of sufficient MVPA was consistently higher among individuals with primary education or lower, ranging from 66% (CI 64–68) in SPA2012 to 75.6% (CI 74–77) in SPA2018. The pattern of sufficient MVPA fluctuated among Thai adults with higher education, with the lowest prevalence (63.3%, CI 60.2–66.3) in SPA2013, and the highest (75.1%, CI 73–77) in SPA2019. Classified by occupation, the prevalence of sufficient MVPA was highest among individuals employed in agriculture (76.1–87.5%) and those working in the informal sector, and lowest among the unemployed and students (Table 1).

The prevalence of sufficient MVPA among urban and rural Thais was relatively similar. Despite minor fluctuations, the proportion of both urban and rural Thais who engaged in the recommended level of MVPA showed an increasing trend (Table 1). The gaps in the proportion of rural and urban residents who have sufficient MVPA narrowed in the most recent rounds of the SPA. The prevalence of sufficient MVPA was also similar between those with or without chronic disease. While a higher proportion of individuals without a chronic disease achieved the recommended level of MVPA during SPA2012–2014, the prevalence of sufficient MVPA was actually higher among those with chronic disease during SPA2015 onward (Table 1). Detailed cumulative minutes of MVPA by sociodemographic characteristics is available in the Supplementary Table 3.

Most Thai adults consistently engaged in work-related PA more than the other domains. Table 2 presents the proportion of Thai adults from SPA2019 who engaged in sufficient MVPA, classified by PA domain. Those who engage more in work-related PA are mostly male, middle-aged, married, attained secondary education, have no chronic disease, reside in a rural area, and work in the agricultural sector. Higher proportion of transport-related PA was found among females, older adults, those who separated/divorced/widowed, having primary education or less, and being unemployed. While both males and females had an equal proportion for recreational PA (41%), a higher proportion of older adults engaged in this domain than the other age groups. Urban residents, individuals with higher education, and those employed in the formal labor sector engaged more in recreational PA than the other domains (Table 2).

Table 2 Proportion of Thai adults who engaged in PA by domain in 2019

Discussion

Since the rapid epidemiological transition in the early 2000s, NCD have become the major cause of death of the Thai population, superseding infectious diseases [17, 18]. Among several NCD risk factors, physical inactivity contributed to 1.3% of total Disability-Adjusted Life Years (DALY) lost that could have been averted if individuals engaged in regular PA of at least 75-min vigorous intensity or 150-min combined moderate and vigorous intensity [13].

During 2001–2005, the Thai government implemented a “healthy life” campaign by promoting PA for more than 3 days per week [17], and has continuously developed a supportive, built-environment for PA in the past decade. The prevalence of Thai adults who met the WHO recommendation for sufficient PA showed an increasing trend, plausibly correlated to several healthy lifestyle campaigns during 2013–2015. These campaigns include the expansion of bike lanes to support the ‘Bike for Dad’ event that was held to honor King Rama IX’s birthday (observed as Thai Father’s Day), and ‘Bike for Mom’ to commemorate Queen Sirikit’s birthday, also celebrated as Thai Mother’s Day. The prevalence of sufficient MVPA then slightly decreased in 2016, perhaps reflecting a regression to the mean (after the campaign boom during 2013–2015).

As Thais recovered from the year-long mourning period with the passing of HM King Bhumibol Adulyadej in 2016, health promotion strategies shifted from royal-family branding to other public figures. The gradual increase in the prevalence of sufficient MVPA during 2017–2019 was possibly related to charity running events that gained widespread popularity among Thais. The nationwide campaign for marathons and ‘fun runs’ were implemented nationwide, and shifted the population’s perception toward running as competition to running for enjoyment. In 2017 alone, more than 900 running events [19, 20] were arranged by various organizations all over the country, and involved 2000–40,000 Thai runners in each event [21].

Thai females are less physically active than their male counterparts. This finding is consistent throughout the 9 years of the SPA, indicating there might be physical and socio-cultural barriers for females to engage in PA. The physiological construction of the female body comprises less skeletal frame and muscle mass than males [22]. That fact might reduce self-efficacy in performing PA for Thai females [23]. In addition, there is a socio-cultural expectation for Thai females to be calm and neat, and the normative Thai preference for fair skin may deter many women from outdoor, daytime PA [24]. It should be noted, however, that Thai women may actually accumulate more PA when all intensities and activities are considered [25], particularly when including household chores, which are characterized by long duration but low intensity, and typically performed by the women of the household.

The prevalence of sufficient MVPA was the highest among middle-aged adults (35–64 years). Many young adults are full-time students, and older adults have physical limitations to engage in MVPA. Thus, middle-aged adults have more opportunity to accumulate PA across all domains. As a typical developing nation from upper-middle income country, Thai adults collected work-related PA more than recreational and travel-related. Although the domain-specific cumulative minutes of Thai adults was generally lower compared to countries in the same group, the dominance of work-related towards the other domains was consistent with global patterns [26]. For adults who work in the formal labor sector, the workplace should be regarded as a venue for health-promoting exercise [27], e.g., by walking around the building, using stairs, and other light-to-medium PA in the office setting. Apart from recreational PA, collective active minutes could also be added from transport-related PA as part of the daily commute from home to workplace [28, 29]. Among adults employed in the agricultural or informal labor sectors, however, farming-related activity obviously dominates the overall pattern for PA. The prevalence of sufficient MVPA was highest among married individuals. As marital status implies social support, married individuals are more likely to receive support from their spouse compared to single persons or those who are separated/widowed/divorced. In this regard, being married also means having a steady partner to engage in regular PA with [30]. Previous studies found that a married person’s health behaviour is closely related to their spouse’s. Thus, the husband’s PA and/or sedentary behaviour might influence the wife’s, and vice versa [31].

Generally, there is no difference in the level of PA among Thai urban or rural residents. However, considering the PA domains, work-related PA dominated the cumulative minutes of MVPA per week, particularly among middle-aged adults who are occupied in the rural agricultural or informal sector. On the other hand, Thais who work in the formal labor sector in urban areas enjoy the privilege of recreational PA. That said, the lack of a difference in the overall PA by area of residence suggests that built-environment interventions provided by the Thai government may be having an impact in reducing rural-urban disparities. For example, the construction of village sports complexes (e.g., the Lankilaphat1 and 2 Project) have encouraged the rural community to engage more in PA. Similarly, in the urban and semi-urban setting, members of the local community are being encouraged to redesign or modify their environment to provide more opportunities for PA (e.g., the ‘healthy space model’). The provision of a sports complex and the expansion of the healthy space model have motivated and enabled community members to be more active through improved access to PA resources [32].

The higher prevalence of sufficient MVPA among those with primary education or less, and those employed in agriculture suggests that adult PA is closely related to the nature of the occupation and where they work. Agriculture obviously requires more physical movement than, say, an office job. Indeed, many of today’s workers in the formal sector are required to be engaged in screen media at a table and chair. Sitting in a stationary position throughout the work-day, with only little movement between spaces, has increasingly reduced the opportunity for occupational PA in that sector. The findings from this analysis indicate that work-place interventions in the formal labor sector are needed in order to increase the PA of the work force and reduce sedentary behavior. Short-break interventions with light-intensity PA have been shown to reduce sedentary time and, over a period of 12 months, result in a significant reduction in the BMI of those involved [33, 34].

The prevalence of sufficient MVPA was also similar between those with or without a chronic disease. That finding suggests that PA or other health-promoting exercise is a relevant prescription for prevention, treatment, and/or rehabilitation [35]. Studies have documented the value of PA as primary prevention towards NCD [36,37,38] and in improving natural immune response and stress relief [39,40,41,42,43,44]. As a form of treatment, evidence shows that people with a chronic disease are quite capable of performing aerobic PA, either in the clinical or home setting [35, 45].

The results of the study suggest that ISPAH’s (International Society for Physical Activity and Health) recommendation on eight investments that work for physical activity also could be applied to Thai context. As there is no single solution shown to be effective in improving PA, system based-approach that involves all components of community should be undertaken or enhanced, supported by public policies in national level that encourage and facilitate PA for all population. Since transport-related PA was constantly the lowest among the other domains, improvement in the active transport system such as safe infrastructure, connectivity, and an integrated urban and transport design could be an additional benefit for the Thai population in collecting more minutes of PA in their daily life. The provision of health education including through mass media should be continuously enhanced as a frequent reminder for Thais to engage in adequate PA, accompanied by sport and recreation opportunities for all population, particularly for the least active groups such as females. Workplace intervention should also be the focus in improving PA of Thai adults by encouraging their work force to engage in more occupational PA. This may entail modifying or redesigning the workplace to encourage -- or even require -- movement, as that should be beneficial in improving physical health, mental health, and the overall well-being of the employees.

As a longitudinal study with two-panel data, the findings of this study provide strong evidence for Thai government managers and policy makers of the prevalence and trends of sufficient PA of Thai adults over the past decade. The study provides a clear portrayal of the changes of PA over time, including identifying the gaps between the country’s target, policies being implemented, and the prevalence of sufficient PA as the outcome. As the SPA is conducted annually, PA prevalence could be a useful indicator for refining strategies in PA promotion in order to meet the national targets. Additionally, since the SPA collects data from a nationally-representative sample, the levels of PA prevalence could be regarded as reflective of the Thai population at large. The limitation of the study lies in the self-reported method of data collection through a structured questionnaire (GPAQ v.2), as that may drive under- or over-estimation of PA level due to respondents’ recall error or the desire to provide a culturally-appropriate response. However, the design of the SPA provides longitudinal data with identical sampling methods and representativeness, and those attributes may reduce or eliminate the errors.

Conclusions

The prevalence of sufficient PA has fluctuated over time with a tendency to increase in the most recent years. Thai females are less physically active than males. The prevalence of sufficient MVPA was highest among middle-aged adults (35–64 years), married individuals, those with primary education or less, and those employed in agriculture. The proportion of sufficient MVPA was relatively similar among urban/rural dwellers or among Thais with/without a chronic disease. Work-related PA is the most common domain of Thai adults, but there is a lower prevalence of sufficient MVPA among workers in the formal labor sector than those in agriculture or the informal labor sector for this domain. These results implying further improvement in recreational physical activity is required. Workplace intervention should also be the focus in improving PA of Thai adults by encouraging their work force to engage in more occupational PA.

Availability of data and materials

SPA data is available in TPAK repository, https://tpak.or.th/?p=4151

Abbreviations

PA:

Physical Activity

MVPA:

Moderate-to-Vigorous Physical Activity

SPA:

Surveillance on Physical Activity

GPAQ:

Global Physical Activity Questionnaires

WHO:

World Health Organization

NCD:

Non-communicable Disease

DALY:

Disability-Adjusted Life Year

References

  1. Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. 2020;54(24):1451–62. https://doi.org/10.1136/bjsports-2020-102955.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Román-Mata S, Puertas-Molero P, Ubago-Jiménez JL, González-Valero G. Benefits of physical activity and its associations with resilience, emotional intelligence, and psychological distress in university students from southern Spain. Int J Environ Res Public Health. 2020;17(12):4474. https://doi.org/10.3390/ijerph17124474.

    Article  Google Scholar 

  3. Currier D, Lindner R, Spittal MJ, Cvetkovski S, Pirkis J, English DR. Physical activity and depression in men: increased activity duration and intensity associated with lower likelihood of current depression. J Affect Disord. 2020;260:426–31. https://doi.org/10.1016/j.jad.2019.09.061.

    Article  PubMed  Google Scholar 

  4. White RL, Babic MJ, Parker PD, Lubans DR, Astell-Burt T, Lonsdale C. Domain-specific physical activity and mental health: a meta-analysis. Am J Prevent Med. 2017;52(5):653–66.

  5. Haible S, Volk C, Demetriou Y, Höner O, Thiel A, Sudeck G. Physical activity-related health competence, physical activity, and physical fitness: analysis of control competence for the self-directed exercise of adolescents. Int J Environ Res Public Health. 2020;17(1):39.

    Article  Google Scholar 

  6. Parra-Rizo MA, Sanchis-Soler G. Satisfaction with life, subjective well-being and functional skills in active older adults based on their level of physical activity practice. Int J Environ Res Public Health. 2020;17(4):1299. https://doi.org/10.3390/ijerph17041299.

    Article  PubMed Central  Google Scholar 

  7. Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1· 9 million participants. Lancet Glob Health. 2018;6(10):e1077–86. https://doi.org/10.1016/S2214-109X(18)30357-7.

    Article  PubMed  Google Scholar 

  8. Varela AR, Pratt M, Powell K, Lee I-M, Bauman A, Heath G, et al. Worldwide surveillance, policy, and research on physical activity and health: the global Observatory for Physical Activity. J Phys Act Health. 2017;14(9):701–9. https://doi.org/10.1123/jpah.2016-0626.

    Article  PubMed  Google Scholar 

  9. Beenackers MA, Kamphuis CB, Giskes K, Brug J, Kunst AE, Burdorf A, et al. Socioeconomic inequalities in occupational, leisure-time, and transport related physical activity among European adults: a systematic review. Int J Behav Nutr Phys Act. 2012;9(1):1–23.

    Article  Google Scholar 

  10. WHO. Global action plan on physical activity 2018–2030: more active people for a healthier world. Geneva: World Health Organization; 2019.

  11. WHO. Tackling NCDs:‘best buys’ and other recommended interventions for the prevention and control of noncommunicable diseases. Geneva: World Health Organization; 2017.

  12. International Society for Physical Activity and Health I. The Bangkok declaration on physical activity for global health and sustainable development. Brit J Sports Med. 2017;51(19):1389.

    Article  Google Scholar 

  13. Aekplakorn W. Non-communicable diseases in urban communities. Siriraj Med J. 2017;62(1):36–8.

    Google Scholar 

  14. Armstrong T, Bull F. Development of the world health organization global physical activity questionnaire (GPAQ). J Public Health. 2006;14(2):66–70. https://doi.org/10.1007/s10389-006-0024-x.

    Article  Google Scholar 

  15. Bull FC, Maslin TS, Armstrong T. Global physical activity questionnaire (GPAQ): nine country reliability and validity study. J Phys Act Health. 2009;6(6):790–804. https://doi.org/10.1123/jpah.6.6.790.

    Article  PubMed  Google Scholar 

  16. WHO. Global strategy on diet, physical activity and health. Geneva: World Health Organization; 2004.

  17. Pongutta S, Suphanchaimat R, Patcharanarumol W, Tangcharoensathien V. Lessons from the Thai health promotion foundation. Bull World Health Organ. 2019;97(3):213–20. https://doi.org/10.2471/BLT.18.220277.

    Article  PubMed  Google Scholar 

  18. Tangcharoensathien V, Witthayapipopsakul W, Panichkriangkrai W, Patcharanarumol W, Mills A. Health systems development in Thailand: a solid platform for successful implementation of universal health coverage. Lancet. 2018;391(10126):1205–23. https://doi.org/10.1016/S0140-6736(18)30198-3.

    Article  PubMed  Google Scholar 

  19. Boonsiritomachai W, Phonthanukitithaworn C. Destination attributes that attract marathon runners: a case study of the Bangsaen21 half marathon. Modern Manag J. 2018;16(1):251–62.

    Google Scholar 

  20. Forrunnersmag. Running Races: Running, distance running, marathon events in Thailand. Bangkok: Forrunnersmag; 2017.

    Google Scholar 

  21. Bangkok Post: Thailand's in the running for races. Bangkok: Bangkok Post; 2018.

  22. Janssen I, Heymsfield SB, Wang Z, Ross R. Skeletal muscle mass and distribution in 468 men and women aged 18–88 yr. J Appl Physiol. 2000;89(1):81–8. https://doi.org/10.1152/jappl.2000.89.1.81.

    Article  CAS  PubMed  Google Scholar 

  23. Forsyth J, Jones J, Duval L, Bambridge A. Opportunities and barriers that females face for study and employment in sport. J Hosp Leis Sport Tour Educ. 2019;24:80–9. https://doi.org/10.1016/j.jhlste.2019.01.005.

    Article  Google Scholar 

  24. Wattanapisit A, Fungthongcharoen K, Saengow U, Vijitpongjinda S. Physical activity among medical students in Southern Thailand: a mixed methods study. BMJ Open. 2016;6(9):e013479.

    Article  Google Scholar 

  25. Thanamee S, Pinyopornpanish K, Wattanapisit A, Suerungruang S, Thaikla K, Jiraporncharoen W, et al. A population-based survey on physical inactivity and leisure time physical activity among adults in Chiang Mai, Thailand, 2014. Arch Public Health. 2017;75(1):1–9.

  26. Strain T, Wijndaele K, Garcia L, Cowan M, Guthold R, Brage S, et al. Levels of domain-specific physical activity at work, in the household, for travel and for leisure among 327 789 adults from 104 countries. Br J Sports Med. 2020;54(24):1488–97. https://doi.org/10.1136/bjsports-2020-102601.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Sjøgaard G, Christensen JR, Justesen JB, Murray M, Dalager T, Fredslund GH, et al. Exercise is more than medicine: the working age population's well-being and productivity. J Sport Health Sci. 2016;5(2):159–65. https://doi.org/10.1016/j.jshs.2016.04.004.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Lerssrimongkol C, Wisetborisut A, Angkurawaranon C, Jiraporncharoen W, Lam KBH. Active commuting and cardiovascular risk among health care workers. Occup Med. 2016;66(6):483–7. https://doi.org/10.1093/occmed/kqw029.

    Article  CAS  Google Scholar 

  29. Shirai Y, Leisz S, Fox J, Rambo AT. Commuting distances to local non-farm workplaces and out-migration: the case of Northeast Thailand. Asia Pac Viewp. 2019;60(3):280–95. https://doi.org/10.1111/apv.12223.

    Article  Google Scholar 

  30. Herazo-Beltrán Y, Pinillos Y, Vidarte J, Crissien E, Suarez D, García R. Predictors of perceived barriers to physical activity in the general adult population: a cross-sectional study. Brazilian J Phys Ther. 2017;21(1):44–50. https://doi.org/10.1016/j.bjpt.2016.04.003.

    Article  Google Scholar 

  31. Harada K, Masumoto K, Kondo N. Spousal concordance for objectively measured sedentary behavior and physical activity among middle-aged and older couples. Res Q Exerc Sport. 2018;89(4):440–9. https://doi.org/10.1080/02701367.2018.1510171.

    Article  PubMed  Google Scholar 

  32. Katewongsa P, Widyastari DA, Choolers P, Iamyaem W. ‘Does the community use the built environment?’Assessing the utilization of healthy space model in bridging physical activity inequalities for the Thai population. Hum Geograph. 2020;14(1):107–23.

    Google Scholar 

  33. Haslam C, Kazi A, Duncan M, Clemes S, Twumasi R. Walking works wonders: a tailored workplace intervention evaluated over 24 months. Ergonomics. 2019;62(1):31–41. https://doi.org/10.1080/00140139.2018.1489982.

    Article  PubMed  Google Scholar 

  34. Chen C, Dieterich AV, Koh JJE, Akksilp K, Tong EH, Budtarad N, et al. The physical activity at work (PAW) study protocol: a cluster randomised trial of a multicomponent short-break intervention to reduce sitting time and increase physical activity among office workers in Thailand. BMC Public Health. 2020;20(1):1–12.

    Article  CAS  Google Scholar 

  35. Anderson E, Durstine JL. Physical activity, exercise, and chronic diseases: a brief review. Sports Med Health Sci. 2019;1(1):3–10. https://doi.org/10.1016/j.smhs.2019.08.006.

    Article  Google Scholar 

  36. Zucker IH, Musch TI. Benefits of exercise training on cardiovascular dysfunction: molecular and integrative. Am J Physiol Heart Circ Physiol. 2018;315(4):H1027–h1031. https://doi.org/10.1152/ajpheart.00516.2018.

    Article  CAS  PubMed  Google Scholar 

  37. Mulchandani R, Chandrasekaran AM, Shivashankar R, Kondal D, Agrawal A, Panniyammakal J, et al. Effect of workplace physical activity interventions on the cardio-metabolic health of working adults: systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2019;16(1):1–16.

    Article  Google Scholar 

  38. Warburton DER, Bredin SSD. Health benefits of physical activity: a strengths-based approach. J Clin Med. 2019;8(12):2044. https://doi.org/10.3390/jcm8122044.

    Article  PubMed Central  Google Scholar 

  39. Tamminen N, Reinikainen J, Appelqvist-Schmidlechner K, Borodulin K, Mäki-Opas T, Solin P. Associations of physical activity with positive mental health: a population-based study. Ment Health Phys Act. 2020;18:100319. https://doi.org/10.1016/j.mhpa.2020.100319.

    Article  Google Scholar 

  40. Nieman DC, Wentz LM. The compelling link between physical activity and the body's defense system. J Sport Health Sci. 2019;8(3):201–17. https://doi.org/10.1016/j.jshs.2018.09.009.

    Article  PubMed  Google Scholar 

  41. Valdiglesias V, Sánchez-Flores M, Maseda A, Lorenzo-López L, Marcos-Pérez D, López-Cortón A, et al. Immune biomarkers in older adults: role of physical activity. J Toxic Environ Health A. 2017;80(13–15):605–20. https://doi.org/10.1080/15287394.2017.1286898.

    Article  CAS  Google Scholar 

  42. Blanks AM, Wagamon TT, Lafratta L, Sisk MG, Senter MB, Pedersen LN, et al. Impact of physical activity on monocyte subset CCR2 expression and macrophage polarization following moderate intensity exercise. Brain Behavi Immun Health. 2020;2:100033.

    Article  Google Scholar 

  43. Kim S-Y, Park J-H, Lee MY, Oh K-S, Shin D-W, Shin Y-C. Physical activity and the prevention of depression: a cohort study. Gen Hosp Psychiatry. 2019;60:90–7. https://doi.org/10.1016/j.genhosppsych.2019.07.010.

    Article  PubMed  Google Scholar 

  44. Fluetsch N, Levy C, Tallon L. The relationship of physical activity to mental health: a 2015 behavioral risk factor surveillance system data analysis. J Affect Disord. 2019;253:96–101. https://doi.org/10.1016/j.jad.2019.04.086.

    Article  PubMed  Google Scholar 

  45. Bullard T, Ji M, An R, Trinh L, Mackenzie M, Mullen SP. A systematic review and meta-analysis of adherence to physical activity interventions among three chronic conditions: cancer, cardiovascular disease, and diabetes. BMC Public Health. 2019;19(1):636. https://doi.org/10.1186/s12889-019-6877-z.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors gratefully acknowledge the funding support from the Thai Health Promotion Foundation.

Funding

The SPAs was funded by Thai Health Promotion Foundation grant number 62–00157.

Author information

Authors and Affiliations

Authors

Contributions

PK and CY conceived the study; PK and NH performed the formal data analysis; PK, NR and DAW conceptualized the manuscript; DAW drafted the manuscript; PK and DAW interpreted the results; DAW wrote the final manuscript. All authors have read and approved the final version of the manuscript, and agree with the order of presentation of the authors.

Corresponding author

Correspondence to Dyah Anantalia Widyastari.

Ethics declarations

Ethics approval and consent to participate

The SPA received ethical approval from the Institute for Population and Social Research of Mahidol University with annual update: COA. N0. 2016–07-166 (SPA2016), COA. N0. 2017–06-152 (SPA2017), COA. No. 2018.06–192(SPA2018), COA. No. 2019/04–152 (SPA2019). All participants provided voluntary informed consent prior to their inclusion in the study.

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Not applicable.

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None of the authors have any competing interests.

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Supplementary Information

Additional file 1: Supplementary Table 1.

Sample characteristics.

Additional file 2: Supplementary Table 2.

Cumulative minutes of MVPA of Thai adults 2012-2019 by socioeconomic characteristics.

Additional file 3: Supplementary Table 3.

Cumulative minutes of MVPA by domains of PA.

Additional file 4: Supplementary Table 4.

Cumulative minutes of MVPA by gender.

Additional file 5: Supplementary Table 5.

Cumulative minutes of MVPA by age group.

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Katewongsa, P., Yousomboon, C., Haemathulin, N. et al. Prevalence of sufficient MVPA among Thai adults: pooled panel data analysis from Thailand’s surveillance on physical activity 2012–2019. BMC Public Health 21, 665 (2021). https://doi.org/10.1186/s12889-021-10736-6

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