Employment status and differences in physical activity behavior during times of economic hardship: results of a population-based study

Macassa, Glória; Ahmadi, Nader; Alfredsson, Johana; Barros, Henrique; Soares, Joaquim; Stankūnas, Mindaugas

doi:10.5455/ijmsph.2016.0101201515

Cited by 13 publications

(13 citation statements)

References 37 publications

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“…Various individual characteristics have been linked to physical activity, such as sex [20], age [21], race/ethnicity [22], education level [23], employment status [24], and marital status [25]. Temporal changes in the distributions of these individual characteristics among the state population may confound in the estimated prevalence of physical inactivity.…”

Section: Methodsmentioning

confidence: 99%

Mapping the Prevalence of Physical Inactivity in U.S. States, 1984-2015

Xiang

Yang

et al. 2016

PLoS ONE

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BackgroundPhysical inactivity is a leading cause of morbidity, disability and premature mortality in the U.S. and worldwide. This study aimed to map the prevalence of physical inactivity across U.S. states over the past three decades, and estimate the over-time adjusted changes in the prevalence of physical inactivity in each state.MethodsIndividual-level data (N = 6,701,954) were taken from the 1984–2015 Behavioral Risk Factor Surveillance System (BRFSS), an annually repeated cross-sectional survey of state-representative adult population. Prevalence of self-reported leisure-time physical inactivity was estimated by state and survey year, accounting for the BRFSS sampling design. Logistic regressions were performed to estimate the changes in the prevalence of physical inactivity over the study period for each state, adjusting for individual characteristics including sex, age, race/ethnicity, education, marital status, and employment status.ResultsThe prevalence of leisure-time physical inactivity varied substantially across states and survey years. In general, the adjusted prevalence of physical inactivity gradually declined over the past three decades in a majority of states. However, a substantial proportion of American adults remain physically inactive. Among the 50 states and District of Columbia, 45 had over a fifth of their adult population without any leisure-time physical activity, and 8 had over 30% without physical activity in 2015. Moreover, the adjusted prevalence of physical inactivity in several states (Arizona, North Carolina, North Dakota, Utah, West Virginia, and Wyoming) remained largely unchanged or even increased (Minnesota and Ohio) over the study period.ConclusionsAlthough the prevalence of physical inactivity declined over the past three decades in a majority of states, the rates remain substantially high and vary considerably across states. Closely monitoring and tracking physical activity level using the state physical activity maps can help guide policy and program development to promote physical activity and reduce the burden of chronic disease.

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Section: Methodsmentioning

confidence: 99%

Mapping the Prevalence of Physical Inactivity in U.S. States, 1984-2015

Xiang

Yang

et al. 2016

PLoS ONE

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“…Financial reasons have emerged in other studies with bariatric patients as an obstacle that prevent or difficult participation in PA (Wiklund et al, 2014). Moreover, unemployment has been associated with increased physical inactivity, especially in women (Macassa et al, 2016). Some of the participants in this study worked in the footwear sector, which was severely punished during the economic crisis in Spain (about 50% of reduction in the size of this sector and 24% of total loss of employment) (Albertos-Puebla & Sánchez-Hernández, 2014).…”

Section: Lack Of Economic Resourcesmentioning

confidence: 99%

Exploring the socio-ecological factors behind the (in)active lifestyles of Spanish post-bariatric surgery patients

Beltrán-Carrillo

Jiménez-Loaisa

Jennings

et al. 2019

International Journal of Qualitative Studies on Health and Well

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Purpose: Physical activity (PA) is considered essential for the treatment of morbid obesity and the optimization of bariatric surgery outcomes. The objective of this article was to identify the facilitators and barriers that bariatric patients perceived to do PA one year after finishing a PA programme for the promotion of a long-term active lifestyle. This objective was addressed from a socio-ecological and qualitative perspective. Methods: Nine patients (eight women and one man), aged between 31 and 59 years, participated in semi-structured interviews directly following the PA programme and one year after it. A content analysis was carried out to analyze the qualitative data. Results: Weight loss, improvement of physical fitness, perceived competence, and enjoyment were the main facilitators of PA. Complexes related to skin folds, osteoarthritis, perceived unfavourable weather conditions, lack of social support and economic resources, long workdays, lack of specific PA programmes, and other passive leisure preferences were the main barriers to participate in PA. Conclusions: Results highlight the important interplay between personal, social environmental, and physical environmental factors to explain (in)active behaviours of bariatric patients. The findings of this article could be useful for future research and interventions aimed at promoting PA in bariatric patients.

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“…Children's health-related behaviors are expected to have been affected by the deterioration in their quality of life, especially in the countries that have been hard hit. Nevertheless, until now studies have focused on the effects of financial crisis only on adults' PA [41,42]. Although children are among the most vulnerable populations [38], there is no evidence regarding them.…”

Section: Introductionmentioning

confidence: 99%

Physical Activity and Sedentary Behaviors of Young Children: Trends from 2009 to 2018

Venetsanou

Emmanouilidou

Kouli

et al. 2020

IJERPH

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Over the last decade, the lives of children in several countries, including Greece, have been affected by recession. The aim of the present study was (a) to examine time trends in physical activity (PA) and screen time (ST) of Greek preschool children, together with their family affluence (FA), from 2009 until 2018, and to explore the associations among them; and (b) to investigate the connections of parental educational level and children’s BMIs to their achieving ST (<1 h/day) and PA (11,500 steps/day) guidelines. A total of 652 children from four cross-sectional cohorts participated. PA was recorded with Omron HJ-720IT-E2 pedometers, whereas ST, family affluence (FA) and parental educational level were reported by participants’ parents. The results of the one-way ANOVAs that were computed revealed statistically significant differences among cohorts, albeit of no practical importance, in PA, ST and FA. According to the regressions calculated, neither BMI nor the educational level was related to membership in ST and PA guidelines groups. ST was a significant predictor of children’s PA in all week periods (school-time, leisure-time, weekend), whereas FA was not such a strong predictor. Multilevel interventions aiming at both ST and PA seem to be imperative for the benefit of young children’s health.

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Employment status and differences in physical activity behavior during times of economic hardship: results of a population-based study

Cited by 13 publications

References 37 publications

Mapping the Prevalence of Physical Inactivity in U.S. States, 1984-2015

Mapping the Prevalence of Physical Inactivity in U.S. States, 1984-2015

Exploring the socio-ecological factors behind the (in)active lifestyles of Spanish post-bariatric surgery patients

Physical Activity and Sedentary Behaviors of Young Children: Trends from 2009 to 2018

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