A population-based survey on physical inactivity and leisure time physical activity among adults in Chiang Mai, Thailand, 2014

Promotion of physical activity among people who identify as women through the ParticipACTION mobile app

OBJECTIVE

Health and fitness mobile applications can increase users' physical activity (PA) levels (Lister et al., 2014). ParticipACTION is a national non-profit organization that developed a mobile app to target PA among adults (Truelove et al., 2020). The aim of this research was to examine how women's PA is related to their use of the ParticipACTION app.

METHODS AND MEASUREMENT

Using a mixed-methods design, participants (n = 3,493) completed a survey regarding their PA levels, motivation for PA (capability, opportunity, motivation; COM-B, Keyworth et al., 2020), and motivation for using the ParticipACTION app. Nine focus groups were conducted (n = 37) to discuss the mobile app further.

RESULTS

Path analyses revealed that users' app use was positively associated with motivations for various app functions (e.g. self-monitoring, seeking exercise guidance), however, only motivation in-turn predicted PA. Descriptive results indicated that many women in Canada who used the app do not meet national guidelines for PA per week. Qualitative findings highlight women's motivation for using the app, concerns with app functionality, and feelings of guilt for not engaging in PA.

CONCLUSION

The ParticipACTION app may have some benefit for improving women's PA; intervention studies are needed to determine efficacy of mobile applications.

COVID-19 among Physically Active and Physically Inactive Individuals

INTRODUCTION

COVID-19 was first reported in Wuhan, China, and subsequently spread worldwide. There were numerous restrictions on daily life activities, including lifestyles, social distancing, isolation and access to many forms of exercise and home confinement. All these activities have health benefits, as they enhance the immune system, which is the need of the hour during the COVID-19 pandemic. There is little data regarding the occurrence of COVID-19 among marathon runners, cyclists and yoga practitioners. The aim of the present study was to find the prevalence of COVID-19 among physically active and physically inactive individuals and to compare it among those groups.

MATERIAL AND METHODS

Physically active individuals were selected as per the Global Recommendations on Physical Activity for Health 2010, in the age group of 18-60 years, and included runners, yoga practitioners and cyclists from the Hyderabad club. A prevalidated questionnaire was circulated among the study groups through Google form. The data was analyzed statistically.

RESULTS

There was a high proportion of persons affected by COVID-19 in the physically inactive group (75.75%) when compared to the active group (17.17%). The percentages of subjects who tested positive for COVID-19 were as follows: 16.16% cyclists, 29.29% runners and 27.27% yoga practitioners among the physically active individuals, and 51.51% of physically inactive subjects.

CONCLUSION

Physical activity acts as a barrier against COVID-19 infections and enhances the immune system. Therefore, it has to be prioritized by public health agencies and incorporated into routine medical care.

Validation and Measurement Invariance of the Tendency to Avoid Physical Activity and Sport Scale (TAPAS) Among Thai Young Adults

Examining ways of reducing physical inactivity has been at the forefront of public health research. Moreover, valid and reliable scales are needed to objectively assess physical activity (PA) avoidance. Previous research has shown that experiencing weight stigma and physical appearance-related concerns are associated with physical inactivity. However, there is currently no Thai instrument that assesses physical inactivity in relation to weight stigma. Therefore, the present study examined the psychometric properties of the Thai version of the Tendency to Avoid Physical Activity and Sport Scale (TAPAS). Thai university students (N = 612) recruited via convenience sampling completed an online survey using SurveyMonkey between September 2022 and January 2023. Confirmatory factor analysis (CFA), multigroup CFA, and Pearson correlations (between TAPAS scores, age, body mass index, and time spent exercising) were used to analyze the data. The CFA showed robust psychometric properties for the Thai version of TAPAS regarding its unidimensional structure. The TAPAS was measurement invariant across sex, weight status, and daily hours of exercise. However, no significant Pearson correlations were found. In general, the results showed that the TAPAS is a good scale for assessing PA avoidance among Thai young adults across different sexes, weight status, and daily hours of exercise.

A cross-sectional analysis of the PURE study on minerals intake among Malaysian adult population with hypertension

Hypertension (HPT) is the leading modifiable risk factor for cardiovascular diseases and premature death worldwide. Currently, attention is given to various dietary approaches with a special focus on the role of micronutrient intake in the regulation of blood pressure. This study aims to measure the dietary intake of selected minerals among Malaysian adults and its association with HPT. This cross-sectional study involved 10,031 participants from the Prospective Urban and Rural Epidemiological study conducted in Malaysia. Participants were grouped into HPT if they reported having been diagnosed with high blood pressure [average systolic blood pressure (SBP)/average diastolic blood pressure (DBP) ≥ 140/90 mm Hg]. A validated food frequency questionnaire (FFQ) was used to measure participants' habitual dietary intake. The dietary mineral intake of calcium, copper, iron, magnesium, manganese, phosphorus, potassium, sodium, and zinc was measured. The chi-square test was used to assess differences in socio-demographic factors between HPT and non-HPT groups, while the Mann-Whitney U test was used to assess differences in dietary mineral intake between the groups. The participants' average dietary intake of calcium, copper, iron, magnesium, manganese, phosphorus, potassium, selenium, sodium, and zinc was 591.0 mg/day, 3.8 mg/day, 27.1 mg/day, 32.4 mg/day, 0.4 mg/day, 1431.1 mg/day, 2.3 g/day, 27.1 µg/day, 4526.7 mg/day and 1.5 mg/day, respectively. The intake was significantly lower among those with HPT than those without HPT except for calcium and manganese. Continuous education and intervention should be focused on decreasing sodium intake and increasing potassium, magnesium, manganese, zinc, and calcium intake for the general Malaysian population, particularly for the HPT patients.

Prevalence of physical activity counseling in primary care: A systematic review and meta-analysis

Background

This systematic review aimed to summarize and evaluate the prevalence of physical activity (PA) counseling in primary care.

Methods

Five databases (CINAHL Complete, Embase, Medline, PsycInfo, and Web of Science) were searched. Primary epidemiological studies on PA counseling in primary care were included. The Joanna Briggs Institute critical appraisal checklist for studies reporting prevalence data was used to assess the quality of studies. The review protocol was registered with PROSPERO (CRD42021284570).

Results

After duplicate removal, 4990 articles were screened, and 120 full-text articles were then assessed. Forty studies were included, with quality assessment scores ranging from 5/9 to 9/9. The pooled prevalence of PA counseling based on 35 studies (199830 participants) was 37.9% (95% CI 31.2 to 44.6). The subgroup analyses showed that the prevalence of PA counseling was 33.1% (95% CI: 22.6 to 43.7) in females (10 studies), 32.1% (95% CI: 22.6 to 41.7) in males (10 studies), 65.5% (95% CI: 5.70 to 74.1) in people with diabetes mellitus (6 studies), 41.6% (95% CI: 34.9 to 48.3) in people with hypertension (5 studies), and 56.8% (95% CI: 31.7 to 82.0) in people with overweight or obesity (5 studies). All meta-analyses showed high levels of heterogeneity (I2=93% to 100%).

Conclusion

The overall prevalence of PA counseling in primary care was low. The high levels of heterogeneity suggest variability in the perspectives and practices of PA counseling in primary care. PA counseling should be standardized to ensure its optimum effectiveness in primary care.

The association between health costs and physical inactivity; analysis from the Physical Activity at Work study in Thailand

Introduction

Physical inactivity increases the risks of several common yet serious non-communicable diseases, costing a tremendous amount of health expenditure globally. This study aimed to estimate the association between health costs and physical inactivity in Thailand.

Methods

Data from the Physical Activity at Work cluster randomized controlled trial participants with valid objective physical activity data were extracted. Health costs were collected using the Health and Welfare Survey and the Work Productivity and Activity Impairment Questionnaire and were categorized into past-month outpatient illness, past-year inpatient illness, and past-week presenteeism and absenteeism. Time spent in moderate-to-vigorous physical activity was used to determine the activity level according to the current guideline (i.e., ≥150 minutes moderate-intensity or ≥75 minutes vigorous-intensity equivalent physical activity per week). The primary analysis evaluated the association between direct cost (treatment and travel costs) and societal cost (direct cost plus absenteeism due to the illness) of past-month outpatient illness and physical inactivity using a two-part model.

Results

In total, 277 participants with a mean age of 38.7 were included. Average direct and societal cost due to past-month outpatient illness were 146 THB (3.99 USD) (SD = 647 THB) and 457 THB (12.5 USD) (SD = 1390 THB), respectively. Compared to active participants, direct and societal cost of past-month outpatient illness were 153 THB (4.18 USD) (95%CI: -54.7 to 360 THB) and 426 THB (11.7 USD) (95%CI: 23.3 to 829 THB) higher in physically inactive individuals, respectively, adjusted for covariates. The additional societal cost of past-month outpatient illness was 145% higher in physically inactive participants compared to active participants. On the other hand, there was no significant association in direct and societal cost of past-year inpatient illness nor past-week indirect costs between physically active and non-active participants.

Discussion

Results were similar to recent findings in different countries. However, the findings should be generalized with caution due to the small sample size and potential bias from reverse causation. Future research is crucial for clarifying the health costs of physical inactivity in Thailand and other countries.

Psychometric properties of the Last-7-Day Sedentary Time Questionnaire (SIT-Q-7d): Testing the validity and reliability among general population

BACKGROUNDS

Sedentary behavior (SB) is an independent risk factor causing chronic diseases. Previous studies compared sitting time mostly with physical activity. The present study aimed to evaluate the validity and reliability of the Last-7-Day Sedentary Time Questionnaire (SIT-Q-7d) in Iran. Moreover, SB was assessed among the study participants.

METHODS

The current validity study was conducted among 290 subjects (51.7% males vs. 48.3% females) with a mean age of 34.81 ± 9.63 years in Poldasht, Iran. Sampling was done using simple random sampling and the data were collected using the SIT-Q-7d. To confirm the validity of the questionnaire, forward-backward translation method, content validity, and construct validity were used. Furthermore, temporal stability was calculated by the test-retest method and internal consistency coefficient (ICC).

RESULTS

Our results confirmed the content validity of the questionnaire (content validity score: 0.90 and content validity index: 0.80). Using exploratory factor analysis (EFA), seven factors of SB were identified as follows: eating while sitting down, doing domestic affairs, screen time, leisure time, studying books, watching TV, and attending family gatherings. The reliability of the questionnaire was confirmed using Cronbach's alpha (α = 0.7). In addition, temporal stability was confirmed by test-retest method and ICC was 0.9 (95% CI: 83-97).

CONCLUSION

Our results confirmed that the Persian version of SIT-Q-7d is a reliable and valid tool for assessing SB.

Normative data for three physical frailty parameters in an aging, rural Indian population

Introduction

Physical frailty is associated with multiple adverse health outcomes. Since physical characteristics markedly vary with different populations, population-specific norms for physical frailty parameters are necessary. Such norms are lacking for the Indian population, especially for older, rural Indians. We aimed to develop normative values for three quantitative, frailty parameters-handgrip strength, "Timed Up-and-Go" (TUG) test time, and physical activity in an aging, rural Indian population.

Methods

The study sample is from an ongoing, prospective, cohort (Srinivaspura NeuoSenescence and COGnition, SANSCOG) comprised of rural, community-dwelling, cognitively healthy, aging Indians. Subjects are recruited through area sampling strategy, from villages of Srinivaspura, Kolar district, Karnataka state, India. Three physical frailty parameters of Fried's phenotype-handgrip strength (n = 1787), TUG time (n = 1863), and physical activity (n = 1640) were assessed using digital hand dynamometry, TUG test, and General Physical Activity Questionnaire (GPAQ), respectively.

Results

The 10th, 25th, 50th, 75th, 90th percentiles for the three frailty parameters were: right-hand grip strength (kg): males-13.9, 18.6, 23.8, 28.7, 33.7 and females-7.8, 10.6, 14.2, 17.9, 21.3; left-hand grip strength (kg): males-13.3, 18.3, 23.6, 28.9, 32.9 and females-7.9, 10.5, 14.3, 17.8, 21.2; TUG time (s): males-9.1, 10.1, 11.4, 13.4, 15.5 and females-9.5, 10.7, 12.4, 14.5, 16.6; physical activity (MET-minutes/week): males-1680; 4320; 8880; 15,840; 23,352 and females-1680; 4320; 9240; 15,120; 20,160.

Discussion

Our findings show that from 45 years onwards, overall grip strength decreases and TUG time increases, with women performing significantly poorer than men across all age groups, except >75 years, where no differences were seen. Physical activity did not show any consistent trend according to age or gender. Reference values for this aging, rural Indian population were substantially lower for grip strength and higher for TUG time than aging populations in several Western and other Asian countries.

Association Between Physical Activity and Type 2 Diabetes Using the International Physical Activity Questionnaires: A Case-Control Study at a Health Promoting Hospital in Chiang Mai, Northern Thailand

BACKGROUND

Health education and promotion is active in Thailand where diabetes is prevalent at 11.6% of the general adult population in 2021.

PURPOSE

This study aimed to describe and compare the levels of physical activity between patients with newly diagnosed diabetes and non-diabetic controls in northern Thailand.

METHODS

This observational case-control study included participants aged between 25 and 74 years in Chiang Mai. We recruited 150 patients with type 2 diabetes mellitus (T2DM) at Sanpatong District Hospital and 150 control participants (non-T2DM) in the community. Interviews were conducted using the International Physical Activity Questionnaires-Short Form. Anthropometric measurements and social demographic information were collected from both patients and controls in 2019.

RESULTS

The mean age of the participants was 58.8 ± 8.4 years in the T2DM group and 56.5 ± 9.9 years in the non-T2DM group. Compared to controls, patients with T2DM had received significantly more physical activity education (P < 0.001, Fisher's test). Most cases (93.3%) had received such education at a hospital or health center. The median total metabolic equivalents (METs) minutes per week (min/week) for participants in the T2DM group were higher than those in the non-T2DM group (2726 vs 1140 METs min/week) (P < 0.001, Mann-Whitney test). Comparing the case and control groups in the category of PA level, we found that the case group had a higher proportion of high-level physical activity (P < 0.001, chi-square test).

CONCLUSION

Diabetes patients attending a community hospital exhibited high levels of physical activity. The majority of them received education related physical activity from a primary health care service.

Factors Associated with Health-Related Quality of Life amongst Employees in a Malaysian Public University

The current academic landscape has overwhelmed faculties and with demands to adopt tech-savvy teaching modes and accelerate scholarly works, administrative duties, and outreach programs. Such demands have deteriorated the health-related quality of life (HRQoL) among university employees. This study aimed to determine the factors associated with HRQoL among university employees in a Malaysian public university. This cross-sectional study was conducted among 397 employees from the Universiti Kebangsaan Malaysia (UKM) between April and June 2019. A self-administered questionnaire that consisted of socio-demographic items, risky health behaviors, health-related information, and validated scales for measuring employees’ physical inactivity, psychological states, and HRQoL was utilized. Descriptive and inferential statistics were calculated using SPSS version 23.0. Hierarchical multiple linear regression models were yielded to determine the factors associated with different domains of HRQoL. Mediation analysis was conducted using PROCESS MACRO (Model 4). Statistical significance was set to p < 0.05. Physical HRQoL scored the highest, while environmental HRQoL had the lowest score among the employees. Physical HRQoL was influenced by age, service duration, comorbid conditions, BMI, chronic diseases, and anxiety. Factors associated with psychological HRQoL were age, service duration, depression, and stress. Age, service duration, and chronic diseases affected employees’ social relationship HRQoL, while environmental HRQoL was associated with age, occupation type, chronic diseases, and depression. Socio-demographics, risky health behaviors, health profiles, and psychological attributes were significantly associated with employees’ HRQoL. Age was the only positively correlated factor across all HRQoL domains, while other factors deteriorated employees’ HRQoL.

The Effect of Containment Measures during the Covid-19 Pandemic to Sedentary Behavior of Thai Adults: Evidence from Thailand's Surveillance on Physical Activity 2019-2020

Measures to contain the spread of coronavirus disease 2019 (Covid-19) imposed by governments have undoubtedly impacted on preventing its spread but may have also produced longer periods of sedentary living across all segments of society. To examine this phenomenon, this study compared the sedentary behavior (SB) of Thai adults before and during the Covid-19 pandemic. The 2019 and 2020 datasets of Thailand's Surveillance on Physical Activity (SPA) were employed. A total of 5379 (SPA2019) and 6531 (SPA202020) persons age 18-64 years who had access to the Internet were included in the analysis. Measures imposed to contain the spread of Covid-19 infection were significantly associated with lower opportunity of Thai adults for work-related physical movement, and that increased their SB, particularly with the shift from onsite to online working platforms. Cumulative SB increased from 824 (before the pandemic) to 875 min/day during the pandemic. The odds of accumulating >13 h/day of SB was highest among females, young adults, those who completed post-secondary education, unemployed or working in the non-agriculture sector, having a chronic disease/condition, residing in an urban area, and living in a 'higher-risk' pandemic zone. The insignificant association of physical activity (PA) and the Fit from Home (FFH) intervention in reducing SB during the pandemic suggests that PA is not directly associated with SB, and that the FFH intervention was insufficient to prevent SB.

Prevalence of metabolic syndrome and its associated risk factors among staffs in a Malaysian public university

Public health systems are concerned with the commensurate rise of metabolic syndrome (MetS) incidence across populations worldwide, due to its tendency to amplify greater risk of diabetes and cardiovascular diseases within communities. This study aimed to determine the prevalence of MetS and its associated risk factors among staffs in a Malaysian public university. A cross-sectional study was conducted among 538 staffs from the Universiti Kebangsaan Malaysia (UKM) between April and June 2019. MetS was defined according to JIS "Harmonized" criteria. A questionnaire that consisted of items on socio-demographics, lifestyle risk behaviors and personal medical history information was administered to participants. Subsequently, a series of physical examination and biochemical assessment was conducted at the hall or foyer of selected faculties in the university. Descriptive and inferential statistics were conducted using SPSS version 22.0. Multivariate models were yielded to determine the risk factors associated with MetS. Statistical significance was set at P < 0.05. The overall prevalence of MetS was 20.6%, with men having greater prevalence than women (24.9% vs. 18.3%). Prevalence of MetS increased with age. Factors contributed to MetS in the overall sample were BMI, hypertension, diabetes and physical activity of moderate intensity. Diabetes and hypertension were significantly associated with MetS in men, whereas BMI, diabetes and hyperlipidemia were significantly associated with MetS in women. Lifestyle behaviors and cardio-metabolic risk factors were associated with MetS for the overall sample, and across genders.

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

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.

Physical activity level of Thai children and youth: Evidence from Thailand's 2018 report card on physical activity for children and youth

BACKGROUND

While enabling and supporting factors have been in place to facilitate the pupils to be more active, only a fourth of Thai children have met the WHO recommendation.

OBJECTIVE

This study aims to present the physical activity (PA) level of Thai children and youth, based on the indicators established by Active Health Kids Global Alliance's Report Card (RC).

METHODS

The 2016 Thailand RC Survey and the 2015-2017 Thailand's Surveillance on Physical Activity (SPA) were employed for the analysis. PA of Thai children aged 6-17 years old was assessed in 9 aspects 1) Overall PA, 2) Organized Sports and PA, 3) Active Play, 4) Active Transportation, 5) Sedentary Behavior, 6) Family and Peers, 7) School, 8) Community and Environment, and 9) Government.

RESULTS

Only 26.2% of Thai children and youth met the recommended level of 60 min MVPA. Boys are generally more active compared to girls in all age groups (34.9% versus 16.3%, respectively). Almost half had participated in organized sports and/or PA program, but only 8.7% of Thai children and youth engaged in unstructured/unorganized active play. The settings and source of influence indicators achieved better grades, shown by 71.0% of family members (e.g., parents, guardians) facilitated PA and sports opportunities for their children.

CONCLUSION

Although schools' facilities are available, Thai curriculum provides less opportunity for the children to move during classes and have enough playing time during recess. As there is no standardized guidance for PA in Thai schools, Thailand needs to promote a unified PA in order to improve PA and to reduce recreational screen time of children and youth.

Protection motivation theory to predict intention of healthy eating and sufficient physical activity to prevent Diabetes Mellitus in Thai population: A path analysis

BACKGROUND AND AIMS

Diabetes mellitus is a global health problem causing premature death and economic burden. The study aimed to investigate an application of the protection motivation theory (PMT) model to explain the intention of healthy eating behaviors and physical activity among healthy Thais.

METHODS

This study was a part of a large case control focused only on the control group without noncommunicable diseases. Nine hundred ninety-seven subjects were drawn from eleven provinces of Thailand. A self-administered questionnaire was constructed based on the PMT model to gather information on predictive factors on eating behaviors and physical activity. Path analysis was used to determine whether the empirical data fit the PMT structure as well as to assess the strength of association among PMT constructed factors predicting behavioral intention.

RESULTS

The findings demonstrated that empirical data of eating behaviors (CMIN χ2 p-value = 0.462; CMIN/df = 0.901; NFI = 0.997; CFI = 1; RMSEA <0.001) and physical activity (CMIN χ2 p-value = 0.053; CMIN/df = 2.187; NFI = 0.987; CFI = 0.993; RMSEA = 0.035) fit the PMT. The strongest predictive factor of behavioral intention on eating behaviors was response efficacy (β = 0.146), while self-efficacy was found to be the strongest factor for physical activity (β = 0.11). Knowledge had the only indirect effect on behavior intention through perceived susceptibility and perceived severity.

CONCLUSION

In conclusion, information on susceptibility and severity should be incorporated in intervention strategies to enhance response efficacy and self-efficacy to prevent diabetes.

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

BACKGROUND

High levels of sedentary behaviour (SB) are associated with non-communicable diseases. In 2016, the estimated total healthcare expenditure from physical activity (PA) in Thailand added up to $190 million in international dollars. The challenge to reduce SB and increase PA among office workers is more urgent now than ever as Thailand is transforming itself from a predominantly rural country to an increasingly urban one. This study will investigate the effectiveness of a multicomponent short break intervention on the reduction of SB during office hours.

METHODS/DESIGN

This two-armed Physical Activity at Work (PAW) cluster randomised controlled trial will recruit 360 office workers from 18 offices in the Thailand's Ministry of Public Health (MOPH). Offices will be randomised to either the intervention group or the control group. The multicomponent intervention is informed by the Social Ecological Model and Behaviour Change Techniques (BCTs) and contains four components: (i) organisational, including heads of the participating divisions leading exercises, sending encouragement text messages and acknowledging efforts; (ii) social, including team movement breaks and team-based incentives; (iii) environmental, including posters to encourage exercise; and (iv) individual components including real-time PA feedback via an individual device. The main intervention component will be a short break intervention. The primary outcome of this study is the sedentary time of office workers. Secondary outcomes include time spent on PA, cardiometabolic outcomes, work productivity, musculoskeletal pain, and quality of life. The study also includes process and economic evaluations from the individual and societal perspective.

DISCUSSION

The study will be the first experimental study in Thailand to investigate the effect of a short-break intervention at the workplace on SBs of office workers and health outcomes. The study will also include a cost-effectiveness analysis to inform investments on short break interventions under the Universal Healthcare Coverage in Thailand, which includes health promotion and disease prevention component.

TRIAL REGISTRATION

The PAW study has been registered at the Thai Clinical Trials Registry (TCTR) under the study ID TCTR20200604007 . Registered 02 June 2020,.

Health-Risk Behaviours and Injuries among Youth and Young Adults in Chiang Mai, Thailand: A Population-Based Survey

This study aimed to identify the prevalence of health-risk behaviours (alcohol use, tobacco smoking and gambling) and the associations between health-risk behaviours and injuries among youth (15–24 years) and young adults (25–39 years). A multi-stage cluster sampling survey was conducted in Chiang Mai, Thailand. The associations between health-risk behaviours and injuries were analysed using logistic regression and adjusted for potential confounders. Sample weights were applied in all analyses. Six-hundred-and-thirty participants were included. Fifty-three percent of males and 12.3% of females drank in the past three months. Smoking in the past three months was higher among males (38.5%) than females (0.7%). About a quarter of men and a fifth of the women had gambled in the past year. A total of 6.4% of males and 4.8% of females sought medical attention in the past year due to injuries. Compared to those without any of the three health-risk behaviours, the odds ratio for injuries requiring medical attention was 3.81 (95% CI: 1.33 to 10.90, p = 0.013) for those with two health-risk behaviours and 13.8 (95% CI: 4.24 to 45.10, p < 0.001) for those with all three health-risk behaviours. Injury prevention policies may need to incorporate interventions designed to assess multiple health-risk behaviours.

Overview of Physical Activity Counseling in Primary Care

Physical inactivity is a global health burden. Promoting physical activity in primary care through physical activity counseling is an effective intervention. This article provides an overview of and perspectives on physical activity counseling in primary care. The identification of physical inactivity as a health problem may increase the awareness of physical inactivity among patients and primary care providers, which will lead to an action plan. The contents of physical activity counseling should be based on evidence-based recommendations. Safety issues should be evaluated appropriately to optimize the utilization of primary care services. Physical activity counseling methods should be "tailored" for an individual using appropriate counseling methods and setting-specific resources. Multilevel barriers to physical activity counseling in primary care (i.e., healthcare providers, patients, and systems) must be addressed. Setting-specific strategies to overcome these barriers should be implemented to maximize the effectiveness of physical activity counseling in primary care.

Level of physical activity among urban adults and the socio-demographic correlates: a population-based cross-sectional study using the global physical activity questionnaire

BACKGROUND

Globally, in 2016, 23.3% of adult populations were physically inactive, and it accounts for 9% of the global premature mortality. However, evidence on the level of physical activity was limited in resource-poor settings. This study, therefore, assessed the adult's level of physical activity and its correlates among the urban population in Dire Dawa, eastern Ethiopia.

METHODS

A total of 872 randomly selected adults of age 25-64 years in Dire Dawa city, eastern Ethiopia, are included in this analysis. The Global Physical Activity Questionnaire (GPAQ) is used to measure physical activity. Individuals are considered physically active when they achieved metabolic equivalent tasks (MET) minutes of 600 or more per week, and otherwise inactive. A binary logistic regression is used to identify the correlates of physical activity.

RESULTS

54.9% (95% confidence interval (CI) 51.6 to 58.2) of adults were physically active, with a higher proportion of men being physically active than women, 63.9% (95% CI 58.1 to 69.3) versus 50.6% (95% CI 46.5 to 54.6). Among the adults who reported doing physical activity, the highest domain-specific contribution to the total physical activity was from activities at workplaces, and leisure-time activities contributed the least. The proportion of adults who engaged in a high-level physical activity was 37.0% (95% CI 33.9 to 40.3). Male adults were 1.45 times (aOR (adjusted odds ratio) =1.45; 95% CI 1.05 to 1.99) more likely to achieve the recommended level of physical activity. In contrary, unemployed adults (aOR = 0.51; 95% CI 0.35 to 0.75) were less likely to perform the recommended level of physical activity to accrue health benefits.

CONCLUSION

Interventions aimed at promoting physical activity should target unemployed and female adults. We recommend further study to explore the contextual factors that hinder physical activity in the study setting.

Physical Activity among Spanish Undergraduate Students: A Descriptive Correlational Study

Achieving the recommended levels of physical activity (PA) is associated with better health. Despite this, most undergraduate students report low levels of PA. This study aimed to assess the achievement of recommended PA levels in a wide sample of undergraduate students from Madrid (N = 2960). Overall PA and leisure-time PA (LTPA) were measured with the Global Physical Activity Questionnaire (GPAQ). Descriptive analyses and logistic regression were performed. It was revealed that 22.4% and 55.6% of overall PA and LTPA, respectively, did not achieve World Health Organization (WHO) recommendations. When PA was measured as overall PA, the achievement of the recommended level was positively predicted by male sex; a Body Mass Index (BMI) indicative of normal weight or being overweight; spending less time sitting or reclining; work; and studying health science, social sciences, engineering, or architecture (all p < 0.001; r2 = 0.075). Using LTPA, the positive predictors of achieving recommended PA levels were male sex, having a BMI indicative of normal weight or being overweight, work, studying at a public university, and studying health science (r2 = 0.048). These findings suggest that universities should implement strategies to promote PA.

Changes in the configuration and patterns of physical activity among Mongolian adults, 2005-2013

Objective: This study examined the change in physical activity status and patterns and their associations with urban and rural residence and employment status in Mongolia.

Methods: We analyzed data from 7,738 adults aged from 20 to 64 years (n = 2,877 and 4,861 for 2005 and 2013, respectively) from the Mongolian STEPS Survey on the Prevalence of Non-Communicable Disease Risk Factors (NCD-STEPS survey). Physical activity in three domains, including work (occupational and household work); transport (walk or cycling); and leisure (sport or fitness) was measured by Global Physical Activity Questionnaire (GPAQ). Physical activity levels were classified into three groups: low, moderate, and high according to the GPAQ analysis framework. The associations between physical activity time, residential area, and employment status were examined using a multivariate negative binomial regression model.

Results: The percentage of respondents with low-level physical activity increased from 10.9% in 2005 to 27.2% in 2013. The median minutes of physical activity time per week were 1,020 in 2005 and 600 in 2013. Physical activity time at work, transport and overall decreased in 2013. Work-related physical activity was the most dominant component of physical activity time (55.6% in 2005 and 54.6% in 2013), the transport domain was the second-highest contributor of physical activity time in 2005 (24.0%) and was replaced by the leisure domain (26.8%) in 2013. Rural residents practiced more physical activity at work, transport, and leisure than urban residents did in 2005 (prevalence ratio [PR]: 1.33, 95% confidence interval [CI]: 1.20–1.47; PR: 1.21, 95%CI: 1.14–1.29; and PR: 1.21, 95%CI: 1.13–1.30, respectively), but there was no significant difference by residential area in 2013. Mongolian adults with higher educational attainment, employee status, and non-employment status were less likely to engage in physical activity compared to those among adults with lower educational attainment and self-employed status.

Results from the Medical School Physical Activity Report Card (MSPARC) for a Thai Medical School: a mixed methods study

BACKGROUND

Data systems for surveillance and monitoring are essential to develop understanding of the levels of physical activity (PA) occurring at the population levels. To comprehensively understand PA in medical schools, a suitable surveillance tool might be useful to present and monitor key PA-related metrics. This study investigated PA-related metrics in a Thai medical school and summarised the findings using a newly developed tool-the Medical School Physical Activity Report Card (MSPARC).

METHODS

A mixed methods study was carried out at three campuses of a medical school in Southern Thailand. Data analysis included descriptive statistics and qualitative reviews. All 285 medical students from a medical school were the target population. The prevalence of PA (≥ 150 min/week of moderate- to vigorous-intensity PA) and sedentary behaviours (SB) (≥ 8 h/day of sedentary time) among medical students were analysed using data from a self-administered questionnaire. Usage patterns, quality, and accessibility of walkable neighbourhoods; bicycle facilities; and recreational areas were assessed. PA promotion programmes, education, and investment related to PA promotion were reviewed from the school documents.

RESULTS

Of 279 participants, 138 (49.5%) met PA recommendation, but 71.7% met criteria for SB. Male students were more active (61.8 vs. 42.4%) and less sedentary (65.7 vs. 75.1%) than female students. Bicycle facilities were rated as having the lowest quality and accessibility among PA-related facilities. Most PA promotion programmes were sports clubs and sport competitions. A total of 25 h of PA education was taught throughout the entire curriculum, which provided minimal PA counselling training. The school invested 2136.14 Baht/student/year (US $64.34) in PA promotion, or 2.4% of the annual tuition. The MSPARC presented the summary of the findings by using simple symbols, infographics, and short texts.

CONCLUSIONS

To increase PA and decrease SB among medical students, there is a need to improve the quality and accessibility of the built environment as well as the natural environment, so as to establish health promoting policies. PA counselling training is required to develop the medical students' essential skills and awareness for future practices. Monitoring and subsequent surveillance of PA in medical school are needed.

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

OBJECTIVE

Investigations 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.

DESIGN

A community-based, cross-sectional study.

SETTING

A multistage-stratified, random cluster survey was conducted in Xixiang Street, Bao'an District of Shenzhen in Southeast China.

PARTICIPANTS

3920 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 MEASURES

Physical 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.

RESULTS

The 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.

CONCLUSIONS

These 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.