Socio-cultural determinants of physical activity across the life course: a ‘Determinants of Diet and Physical Activity’ (DEDIPAC) umbrella systematic literature review

Jaeschke, Lina; Steinbrecher, Astrid; Luzak, Agnes; Puggina, Anna; Aleksovska, Katina; Buck, Christoph; Burns, Con; Cardon, Greet; Carlin, Angela; Simon, Chantal; Ciarapica, Donatella; Condello, Giancarlo; Coppinger, Tara; Cortis, Cristina; Craemer, Marieke De; D’Haese, Sara; Blasio, Andrea Di; Hansen, Sylvia; Iacoviello, Licia; Issartel, Johann; Izzicupo, Pascal; Kanning, Martina; Kennedy, Aileen; Ling, Fiona Chun Man; Napolitano, Giorgio; Nazare, Julie‐Anne; Perchoux, Camille; Polito, Angela; Ricciardi, Walter; Sannella, Alessandra; Schlicht, Wolfgang; Sohun, Rhoda; MacDonncha, Ciarán; Boccia, Stefania; Capranica, Laura; Schulz, Holger; Pischon, Tobias

doi:10.1186/s12966-017-0627-3

Cited by 63 publications

(52 citation statements)

References 64 publications

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“…Children and adolescents have higher PA needs than adults, and these are more difficult to achieve during the quarantine period, also due to the influence of home environment (11). Both physical and social environmental factors operating within the home space are indeed important influences on SB and PA, especially for the pediatric population (12). Regarding adolescents, another point that warrants careful vigilance concerns the risks associated with increased total screen time, including the total hours spent on computer, TV and video gaming.…”

Section: Hazards Related To Physical Inactivity and Sedentary Behaviormentioning

confidence: 99%

Recommendations for Physical Inactivity and Sedentary Behavior During the Coronavirus Disease (COVID-19) Pandemic

Ricci

Izzicupo

Moscucci

et al. 2020

Front. Public Health

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127

104

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Section: Hazards Related To Physical Inactivity and Sedentary Behaviormentioning

confidence: 99%

Recommendations for Physical Inactivity and Sedentary Behavior During the Coronavirus Disease (COVID-19) Pandemic

Ricci

Izzicupo

Moscucci

et al. 2020

Front. Public Health

Self Cite

127

104

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“…Approximately two-thirds of all studies and five out of six longitudinal studies showed a statistically significant positive relationship between income inequality and the risk of depression. Moreover, because societal context is paramount for understanding access, motivation and engagement with structured physical activity [68,69], cultural specificities may be important in understanding why, how and how often people have access to and engage with supervised exercise programs [70,71]. In the case of depression, country of origin, ethnicity and cultural differences are suspected of playing a major role in the patients' symptoms and on the behaviors of their family aggregates [72].…”

Section: Limitationsmentioning

confidence: 99%

The Effects of Exclusively Resistance Training-Based Supervised Programs in People with Depression: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Carneiro

Afonso

Ramírez‐Campillo

et al. 2020

IJERPH

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The purpose of this study was to systematically review the effects of supervised resistance training (RT) programs in people diagnosed with depression or depressive symptoms. The following databases were used to search and retrieve the articles: Cochrane Library, EBSCO, PEDro, PubMed, Scopus and Web of Science. The search was conducted in late June 2020. Search protocol required the title to contain the words depression or depressive or dysthymia. Furthermore, the title, abstract or keywords had to contain the words or expressions: “randomized controlled trial”; and “strength training” or “resistance training” or “resisted training” or “weight training”. The screening provided 136 results. After the removal of duplicates, 70 records remained. Further screening of titles and abstracts resulted in the elimination of 57 papers. Therefore, 13 records were eligible for further scrutiny. Of the 13 records, nine were excluded, and the final sample consisted of four articles. Results were highly heterogeneous, with half of the studies showing positive effects of resistance training and half showing no effects. In two of the four combinations, the meta-analysis revealed significant benefits of RT in improving depressive symptoms (p ≤ 0.05). However, considering significant differences with moderate (Effect Size = 0.62) and small (ES = 0.53) effects, the heterogeneity was above 50%, thus suggesting a substantial level. To draw meaningful conclusions, future well-designed randomized controlled trials (RCTs) are needed that focus on understudied RT as a treatment for depression.

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“…performed in order to identify potential individual and socioeconomic correlates of CRF 8,14,16 . Potential interpersonal correlates of CRF were derived from evidence regarding the association of these factors and PA 12,27,28 . Based on this evidence, we developed a conceptual framework that depicts potential interrelations (Fig.…”

Section: Potential Correlates Of Cardiorespiratory Fitness a Comprehmentioning

confidence: 99%

Individual and interpersonal correlates of cardiorespiratory fitness in adults – Findings from the German Health Interview and Examination Survey

Zeiher

Manz

Kuntz

et al. 2020

Sci Rep

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Cardiorespiratory fitness (CRF) is an established predictor of adverse health outcomes. The aim of this study is to investigate potential behavioral, interpersonal and socioeconomic correlates of CRF among men and women living in Germany using data from a population-based nationwide cross-sectional study. 1,439 men and 1,486 women aged 18-64 participated in the German Health Interview and Examination Survey (2008-2011) and completed a standardized sub-maximal cycle ergometer test. Maximal oxygen consumption ( VO max 2) in ml•min −1 •kg −1 was estimated. Mean values of VO 2 max for various anthropometric, behavioral, interpersonal, and sociodemographic variables were estimated. Linear regression analyses using multiple imputations technique for missing values was performed to analyze the influence of potential correlates on CRF. Women with high alcohol consumption had higher  VO max 2 , (β = 2.20; 95% CI 0.98 to 3.42) than women with low alcohol consumption and women with high occupational status had higher  VO max 2 (β = 1.83; 95% CI 0.21 to 3.44) in comparison to women with low occupational status. Among men, high fruit intake (β = 1.52; 95% CI 0.63 to 2.40), compared to low or medium fruit intake and performing at least 2.5 hours of total PA per week (β = 2.19; 95% CI 1.11 to 3.28), compared to less than 2.5 hours was associated with higher  VO max 2. Among both men and women, lower body mass index, lower waist circumference and higher levels of physical exercise were considerably associated with higher  VO max 2. Among women, those in higher age groups showed a considerably lower level of  VO max 2 compared with those aged 18-24. Furthermore, mean estimated  VO max 2 was higher among men (36.5; 95% CI 36.0 to 37.0) than among women (30.3; 95% CI 29.8 to 30.7). Despite the cross-sectional nature of the current study, we conclude that several behavioral, anthropometric, and sociodemographic factors are associated with CRF in the general adult population in Germany. These results can provide evidence to tailor prevention measures according to the needs of specific subgroups. Cardiorespiratory fitness (CRF) is an important marker of cardiovascular health and thus a crucial factor in the prevention of non-communicable diseases. CRF, defined as the ability of circulatory, respiratory and muscular systems to supply oxygen during prolonged physical exercise 1 , has a strong inverse relation to the incidence cardiovascular diseases 2 , cancer 3 , diabetes mellitus, depression 4 and all-cause mortality 2. Taking into account the impact of CRF on individual health, efforts should be taken to enhance fitness in the general population. For the development of adequate interventions, knowledge about the causes of CRF, as well as population groups at elevated risk of having a low CRF, is crucial. Figure 1 shows a conceptual framework of the potential correlates

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Socio-cultural determinants of physical activity across the life course: a ‘Determinants of Diet and Physical Activity’ (DEDIPAC) umbrella systematic literature review

Cited by 63 publications

References 64 publications

Recommendations for Physical Inactivity and Sedentary Behavior During the Coronavirus Disease (COVID-19) Pandemic

Recommendations for Physical Inactivity and Sedentary Behavior During the Coronavirus Disease (COVID-19) Pandemic

The Effects of Exclusively Resistance Training-Based Supervised Programs in People with Depression: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Individual and interpersonal correlates of cardiorespiratory fitness in adults – Findings from the German Health Interview and Examination Survey

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