[Physical inactivity in Galicia (Spain): trends and the impact of changes in the definition]

[Evolution of sedentarism prevalence in Spanish population between 1987 and 2020]

BACKGROUND AND OBJECTIVE

Sedentary behavior is a predictive factor for numerous diseases. The objective of this study was to assess the evolution of the prevalence of sedentary behavior in the Spanish adult population between 1987 and 2020.

METHODS

The data sources were the National and European Health Surveys. The prevalence of sedentary behavior was assessed in three scenarios (main activity, leisure time and all scenarios). Prevalence of sedentary behavior was estimated overall, by sex and age group. In all scenarios, prevalence was also estimated by Autonomous Community. The prevalence trend was analyzed with the annual percent change (APC) obtained through joinpoint models.

RESULTS

The prevalence of sedentary in the main activity ranged from 31.2% in 1987 to 38.4% in 2020 [PCA: 0.7 (0.5-1.0)], being higher in men than in women and higher in younger and older people. The prevalence of sedentary in the leisure time varied between 55.1% in 1993 and 36.4% in 2020 [PCA: -1.4 (-1.9 to -0.9)], being always higher in women, higher in those over 64 years of age and lower in those aged 16-24 years. Cantabria and the Canary Islands were the Autonomous Communities with the lowest prevalence of sedentary behavior in all scenarios.

CONCLUSIONS

The prevalence of sedentary behavior in the main activity is increasing in Spain, whereas during leisure time it is decreasing. It is important to implement prevention and health promotion measures aimed at reducing sedentary behavior in the population.

Sedentary behavior and physical inactivity from a comprehensive perspective

OBJECTIVE

To characterize the prevalence of physical activity in the population aged ≥16 years integrating sedentarism and physical inactivity.

METHOD

A cross-sectional study using data from the Galician Risk Behavior Data System (n=12,928) was conducted. The population was classified into four categories: physically active (active and non-sedentary), active but sedentary (active and sedentary), lightly active (inactive and non-sedentary), and extremely sedentary (inactive and sedentary). Prevalences were calculated for each category and a multinomial logistic regression model was fitted.

RESULTS

58.0% of the population was physically active and the remaining 42.0% presented some degree of sedentarism and/or physical inactivity. Men were more likely to be extremely sedentary. The risk of sedentarism decreased with age, and workers and/or students were prone to a higher risk of extreme sedentarism in comparison to those who reported other status. Extremely sendentary behaviors were also more common in people with higher educational levels, individuals living alone, residents of urban environments, and smokers.

CONCLUSIONS

Joint evaluation of sedentarism and physical inactivity provides a more comprehensive and realistic picture of population behaviors related with physical activity. Since sedentarism is the most prevalent behavior, this study recommends that interventions be conducted at work and at academic environments.

[Physical activity level assessment in university students by direct method]

OBJECTIVES

To identify the categories in which a group of university students are classified by directly measuring physical activity, and to relate these categories with socio-demographic and anthropometric variables.

MATERIALS AND METHODS

Cross-sectional and comparative phase study in 601 university students who were interviewed to inquire about socio-demographic variables such as sex, age, marital status, socioeconomic status and self- perceived health. Body Mass Index (BMI) and physical activity levels were determined by applying the Perez-Rojas-García Sedentarism Classification Test on heart rate behavior.

RESULTS

Significant heart rate differences (p=0.000) between the active and the inactive group of university students were observed. The inactive group had a heart rate of 143.4 bpm compared to 115.1 bpm in the active group. Regarding the results of the logistic regression, female students had a greater risk of being physically inactive in the objective test [OR 2.6 (1.9 to 3.6)], while overweight and obese people are more likely to be inactive [OR 1.9 (1.4-2.9)].

CONCLUSION

The assessment shows that a high prevalence of physical inactivity in university students is significantly associated with obesity and the female sex. This Information is fundamental for designing specific training programs and physical activities for university students.

Physical Activity Patterns of the Spanish Population Are Mostly Determined by Sex and Age: Findings in the ANIBES Study

BACKGROUND

Representative data for the Spanish population regarding physical activity (PA) behaviors are scarce and seldom comparable due to methodological inconsistencies.

AIM

Our objectives were to describe the PA behavior by means of the standardized self-reported International Physical Activity Questionnaire (IPAQ) and to know the proportion of the Spanish population meeting and not meeting international PA recommendations.

MATERIAL AND METHODS

PA was assessed using the IPAQ in a representative sample of 2285 individuals (males, 50.4%) aged 9-75 years and living in municipalities of at least 2,000 inhabitants. Data were analyzed according to: age groups 9-12, 13-17, 18-64, and 65-75 years; sex; geographical distribution; locality size and educational levels.

RESULTS

Mean total PA was 868.8±660.9 min/wk, mean vigorous PA 146.4±254.1 min/wk, and mean moderate PA 398.1±408.0 min/wk, showing significant differences between sexes (p<0.05). Children performed higher moderate-vigorous PA than adolescents and seniors (p<0.05), and adults than adolescents and seniors (p<0.05). Compared to recommendations, 36.2% of adults performed <150 min/week of moderate PA, 65.4% <75 min/week of vigorous PA and 27.0% did not perform any PA at all, presenting significant differences between sexes (p<0.05). A total of 55.4% of children and adolescents performed less than 420 min/week of MVPA, being higher in the later (62.6%) than in the former (48.4%). Highest non-compliance was observed in adolescent females (86.5%).

CONCLUSION

Sex and age are the main influencing factors on PA in the Spanish population. Males engage in more vigorous and light PA overall, whereas females perform more moderate PA. PA behavior differs between age groups and no clear lineal increase with age could be observed. Twenty-seven percent of adults and 55.4% of children and adolescents do not meet international PA recommendations. Identified target groups should be addressed to increase PA in the Spanish population.