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Lallukka T, Kolmonen P, Rahkonen O, Lahelma E, Lahti J. Joint trajectories of physical activity, health, and income before and after statutory retirement: A 22-year follow-up. PLoS One 2025; 20:e0317010. [PMID: 39879149 PMCID: PMC11778762 DOI: 10.1371/journal.pone.0317010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 12/19/2024] [Indexed: 01/31/2025] Open
Abstract
BACKGROUND Health behaviors, health, and income change during aging. However, no previous studies have examined, how they develop together over the transition to statutory retirement. We aimed to examine their joint development and to identify the determinants of any distinct trajectories. METHODS We studied former employees of the City of Helsinki, Finland, who transitioned to full statutory retirement between 2000 and 2022 (n = 5209, 80% women). We examined five repeated questionnaire surveys to identify any joint developmental patterns in the key indicators of healthy aging and well-being-leisure-time physical activity, health measured by general health perceptions, and household income, over a follow-up of 22 years. We used joint group-based trajectory analysis to identify latent developmental groups. The social and health-related determinants of trajectory group membership are reported as average marginal effects. RESULTS We found four distinct joint trajectory groups. Group 1 (22.6%) had consistently poor general health perceptions, less physical activity than the recommended amount, and low income. In Group 2 (34.2%), general health perceptions were first good but then declined, and income was low but slightly increasing. Group 3 (12.3%) had good general health perceptions, a very high level of physical activity, but fluctuating income. In Group 4 (30.9%), general health perceptions were first good but then declined, physical activity was at the recommended level, and income was sharply increasing. People with obesity had a 22 percentage-point (21-24) higher predicted probability of belonging to Group 1 than people with normal weight. They were also more likely to report low education and more physician-diagnosed chronic diseases and mental disorders. CONCLUSIONS We identified distinct trajectories in physical activity, general health perceptions, and income over a follow-up of over 20 years. The majority of those who had transitioned to statutory retirement had good general health perceptions but varying levels of physical activity and income. As not all those with a low income had a low level of physical activity or poor general health perceptions, public health interventions should target distinct groups with the most adverse risk factor profiles, to narrow health inequalities during aging.
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Affiliation(s)
- Tea Lallukka
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Petteri Kolmonen
- Department of Public Health, University of Helsinki, Helsinki, Finland
- LUT School of Engineering Sciences, LUT University, Lappeenranta, Finland
| | - Ossi Rahkonen
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Eero Lahelma
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Jouni Lahti
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
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Ouma MA, Juma K, Meisinger C, Stolpe S, Becher H, Winkler VF, Deckert A. Biopsychosocial factors associated with physical activity among Resettlers of the former Soviet Union in Germany: a cross-sectional analysis. BMJ Open 2024; 14:e086042. [PMID: 39653577 PMCID: PMC11628956 DOI: 10.1136/bmjopen-2024-086042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 11/08/2024] [Indexed: 12/12/2024] Open
Abstract
OBJECTIVE Previous research suggests an overall lower cardiovascular disease mortality among ethnic German Resettlers from the Former Soviet Union. However, evidence points to a high burden of metabolic risk factors and chronic conditions among Resettlers, factors which are correlated to lower levels of physical activity. Thus, this study aims to assess factors associated with physical activity among Resettlers, by investigating the interplay between biopsychosocial factors and physical activity between men and women. DESIGN We conducted a cross-sectional study by administering questionnaires between 2011 and 2012. Data from 595 individuals were analysed, and total and extracurricular physical activity scores were generated. A backward stepwise linear regression was run to investigate the effect of various predictors on various physical activity domains. SETTING Augsburg, Germany. PARTICIPANTS We targeted Resettlers who had moved to Augsburg, Germany between 1990 and 1999. RESULTS Disease and psychological distress were linked to decreasing physical activity in men. Higher socioeconomic status was correlated with increasing physical activity except for work-related physical activity for both men and women. Single women were less likely to report extracurricular activity, and so did women who reported a shorter duration of stay and men who smoked. CONCLUSIONS Migration experience and culture account for gender-related sex differences in physical activity alongwith other interlocking social factors such as psychological stressors and health status among Resettlers. Individual psychological stressors may hinder or motivate physical activity, but physical activity can reverse the influence of such stressors on Resettlers. Understanding migrant health and experiences is crucial due to the migration influx and health disparities. However, data on this topic are scarce in Germany.
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Affiliation(s)
- Mary Achieng Ouma
- Bielefeld University School of Public Health, Bielefeld, Nordrhein-Westfalen, Germany
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Baden-Württemberg, Germany
| | - Kenneth Juma
- Sexual, Reproductive, Maternal, Newborn, Child and Adolescent Health Unit, African Population and Health Research Center, Nairobi, Kenya
| | - Christa Meisinger
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Bayern, Germany
| | - Susanne Stolpe
- Center for Clinical Epidemiology, Universitatsklinikum Essen, Essen, Germany
| | - Heiko Becher
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Baden-Württemberg, Germany
| | - Volker Franz Winkler
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Baden-Württemberg, Germany
| | - Andreas Deckert
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Baden-Württemberg, Germany
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Lovan P, Saez-Clarke E, Graefe B, Messiah SE, Prado G. Parent childhood experiences, parenting strategies, and youth health-related outcomes in Hispanic families with unhealthy weight: An intergenerational study. Eat Behav 2024; 53:101870. [PMID: 38460202 PMCID: PMC11144088 DOI: 10.1016/j.eatbeh.2024.101870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 02/06/2024] [Accepted: 03/05/2024] [Indexed: 03/11/2024]
Abstract
We aimed to examine whether (a) parents' childhood family mealtime experiences (CFM) (e.g., mealtime communication-based stress) and parents' socio-demographic characteristics (e.g., education level) predict parents' health-related parenting strategies (e.g., discipline), (b) health-related parenting strategies for eating and physical activity predict youth's health-related outcomes (e.g., dietary intake), (c) parenting strategies mediate the relationship between CFM and youth outcomes. A path model was used to examine the above-mentioned relationships. Data were obtained from the baseline assessment of a randomized clinical trial evaluating the efficacy of a family-based intervention to promote quality diet and increase physical activity. Participants were 280 Hispanic youth (52.1 % female, Mage = 13.01 ± 0.83) with unhealthy weight (MBody Mass Index %tile = 94.55 ± 4.15) and their parents (88.2 % female, Mage = 41.87 ± 6.49). Results indicated that childhood mealtime communication-based stress and mealtime structure were positively associated with control. Appearance weight control was positively associated with monitoring, discipline, limit-setting, and reinforcement. Parental mealtime control had positive associations with discipline, control, and limit-setting. Emphasis on mother's weight was positively associated with reinforcement. We also found positive associations between parental monitoring and youth's physical QOL and between parental discipline and fruits and vegetables intake. No mediating effect was found. Findings demonstrated significant effects of parents' childhood experience on parenting strategies, which in turn was associated with the youths' health-related outcomes. These results suggest the intergenerational effects of parent's childhood experience on their youth's health-related outcomes.
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Affiliation(s)
- Padideh Lovan
- School of Nursing and Health Studies, University of Miami, Miami, FL 33146, United States; Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL 33146, United States.
| | - Estefany Saez-Clarke
- Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL 33146, United States; Department of Psychology, University of Miami, Miami, FL 33146, United States.
| | - Beck Graefe
- Department of Educational and Psychological Studies, University of Miami, Miami, FL 33146, United States.
| | - Sarah E Messiah
- Department of Epidemiology, Human Genetics and Environmental Science, The University of Texas Health Science Center at Houston, School of Public Health, Dallas, TX 75207, United States; Center for Pediatric Population Health, University of Texas Health Science Center, School of Public Health, Dallas, TX 75207, United States; Department of Pediatrics, McGovern Medical School, Houston, TX 77030, United States.
| | - Guillermo Prado
- School of Nursing and Health Studies, University of Miami, Miami, FL 33146, United States.
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Han Y, Sung H, Choi Y, Kim YS. Trends in obesity, leisure-time physical activity, and sedentary behavior in Korean adults: Korea national health and nutritional examinations survey from 2014 to 2021. PLoS One 2024; 19:e0296042. [PMID: 38170709 PMCID: PMC10763961 DOI: 10.1371/journal.pone.0296042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 12/05/2023] [Indexed: 01/05/2024] Open
Abstract
OBJECTIVES This study aimed to investigate trends in obesity by dividing it based on body mass index (BMI) and waist circumference indicators, sedentary behavior, and leisure-time physical activity (LTPA) in Korean adults from 2014 to 2021. This study also aimed to determine the adherence rate of people with obesity to physical activity. METHODS Data from the Korea National Health and Nutritional Examination Survey (KNHANES) from 2014 to 2021 were used. A total of 42,676 participants 19 years or older were included in the final analysis. Sociodemographic characteristics, anthropometric measurements, and physical activity levels were recorded. Physical activity levels were assessed using the Global Physical Activity Questionnaire, a self-reported questionnaire. Multivariable logistic regression analysis adjusted for covariates was used to investigate the prevalence of obesity and sitting time or adherence to meeting the physical activity guidelines for each survey year. RESULTS This study included 42,676 adults. The weighted prevalence of obesity in all ages significantly increased from 30.8% (29.1%-32.5%) in 2014 to 34.5% (32.9%-36.2%) in 2017 and 37.3% (35.5%-39.1%) in 2021 (p for trend < 0.004). The weighted adherence rate to LTPA ranged from 25.5% (95% confidence interval [CI], 23.7%-27.2%) in 2014 to 20.5% (95% CI, 18.7%-22.2%) in 2021(p for trend < 0.001). The weighted prevalence of sitting time for 8 h/day or more significantly increased from 46.7% (44.4%-49.0%) in 2014 to 56.2% (54.4%-58.0%) in 2017 and 63% (60.7%-65.3%) in 2021 (p for trend < 0.001). According to this study, the LTPA level among women with obesity was significantly low. CONCLUSION From 2014 to 2021, obesity and sedentary behavior significantly increased and adherence to LTPA decreased among Korean adults. Given these concerning trends, comprehensive interventions are needed at the national level to encourage healthy lifestyle behaviors.
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Affiliation(s)
- Yunmin Han
- Seoul National University, Seoul, Republic of Korea
| | - Hoyong Sung
- Department of Military Kinesiology, Korea Military Academy, Seoul, Republic of Korea
| | | | - Yeon Soo Kim
- Seoul National University, Seoul, Republic of Korea
- Institute of Sports Science, Seoul National University, Seoul, Republic of Korea
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Crawford B, Steck SE, Sandler DP, Merchant AT, Woo JMP, Park YMM. Dietary patterns, socioeconomic disparities, and risk of type 2 diabetes in the Sister Study. Diabetes Res Clin Pract 2023; 204:110906. [PMID: 37708977 PMCID: PMC10624134 DOI: 10.1016/j.diabres.2023.110906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 08/30/2023] [Accepted: 09/11/2023] [Indexed: 09/16/2023]
Abstract
AIMS We investigated the role of socioeconomic disparities in the association between diet and risk of type 2 diabetes (T2D). METHODS We used prospective data from 40,243 Sister Study participants aged 35 to 74 years who were enrolled in 2003-2009. Scores for healthy eating indices (alternate Mediterranean diet, Dietary Approaches to Stop Hypertension, alternative Healthy Eating Index, and Healthy Eating Index 2015 (HEI-2015)) were calculated using data from a 110-item food frequency questionnaire completed at enrollment. Incident T2D was defined based on self-reported physician's diagnosis or use of anti-diabetic medications. Multivariable-adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models. RESULTS We observed inverse associations between all four dietary indices and incident T2D after multivariable adjustment. These associations were most pronounced among women with higher educational attainment, higher income, and lower area deprivation index (ADI) (e.g., for the HEI-2015: low ADI, aHRQ4vsQ1: 0.44, 95% CI: 0.35, 0.56 vs high ADI, aHRQ4vsQ1: 0.75, 95% CI: 0.63, 0.90; pinteraction: 0.0007). CONCLUSIONS Weaker associations among women with lower socioeconomic status and higher neighborhood deprivation suggests that other factors play a larger role in T2D incidence than diet quality among individuals with low SES.
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Affiliation(s)
- Brittany Crawford
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Susan E Steck
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States
| | - Anwar T Merchant
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Jennifer M P Woo
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States
| | - Yong-Moon Mark Park
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States; Department of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR, United States; Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
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Su J, Yu J, Qin Y, Tao R, Yang J, Lu S, Zhou J, Wu M. Trends in the rate of regular exercise among adults: results from chronic disease and risk factor surveillance from 2010 to 2018 in Jiangsu, China. Front Public Health 2023; 11:1089587. [PMID: 37397784 PMCID: PMC10308382 DOI: 10.3389/fpubh.2023.1089587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 05/25/2023] [Indexed: 07/04/2023] Open
Abstract
Objective The aims of this study were to estimate the rates of regular exercise and its trends among the adult population in Jiangsu, from 2010 to 2018, China, and to assess associations with sociodemographic factors. Methods Chronic disease and risk factor surveillance data from adults aged ≥18 years were gathered in Jiangsu Province from 2010 to 2018. Rates of regular exercise were calculated after post-stratification weighting, and time trends were compared among participants with different characteristics, including gender, age, urban-rural region, educational level, occupation, annual household income, body mass index (BMI), baseline self-reported chronic diseases, smoking status, alcohol consumption, and region. Multivariable logistic regression analyses were performed to assess the associations of sociodemographic characteristics with regular exercise. Results A total of 33,448 participants aged 54.05 ± 14.62 years and 55.4% female (8,374 in 2010, 8,302 in 2013, 8,372 in 2015, and 8,400 in 2018) were included in this study. The weighted rate of regular exercise was 12.28% (95% confidence interval [CI]: 9.11-15.45%) in 2010 and 21.47% (95% CI, 17.26-25.69%) in 2018, showing an overall increasing trend (P for trend = 0.009). Nevertheless, stratification analysis showed that the regular exercise rate decreased from 33.79% in 2010 to 29.78% in 2018 among retired adults. Significant associations were observed between regular exercise and age >45 years (45- < 60 years, odds ratio [OR]: 1.24, 95% CI: 1.14-1.34; ≥60 years, OR: 1.20, 95% CI: 1.08-1.34), urban residence (OR: 1.43, 95% CI: 1.32-1.54), higher education (primary, OR: 1.30, 95% CI: 1.16-1.46; secondary, OR: 2.00, 95% CI: 1.79-2.25; college or higher, OR: 3.21, 95% CI: 2.77-3.72), occupation (manual work, OR: 1.52, 95% CI: 1.33-1.73; non-manual work, OR: 1.69, 95% CI: 1.54-1.85; not working, OR: 1.22, 95% CI: 1.03-1.44; retired, OR: 2.94, 95% CI: 2.61-3.30), higher income (¥30,000- < ¥60,000, OR: 1.16, 95% CI: 1.06-1.28; ≥¥60,000, OR: 1.20, 95% CI: 1.10-1.32), higher BMI (overweight, OR: 1.12, 95% CI: 1.05-1.20), self-reported chronic disease at baseline (OR: 1.24, 95% CI:1.16-1.33), former smoking (OR: 1.15, 95% CI: 1.01-1.31) and ever (30 days ago) drinking (OR: 1.20, 95% CI: 1.11-1.29). Conclusion The rate of regular exercise among adults in Jiangsu Province was low, but this rate increased by 9.17% from 2010 to 2018, showing an upward trend. There were differences in the rate of regular exercise among different sociodemographic factors.
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Affiliation(s)
- Jian Su
- Department of Non-communicable Chronic Disease Control, Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Jinxin Yu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yu Qin
- Department of Non-communicable Chronic Disease Control, Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Ran Tao
- Department of Non-communicable Chronic Disease Control, Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Jie Yang
- Department of Non-communicable Chronic Disease Control, Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Shurong Lu
- Department of Non-communicable Chronic Disease Control, Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Jinyi Zhou
- Department of Non-communicable Chronic Disease Control, Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Ming Wu
- Department of Non-communicable Chronic Disease Control, Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
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Zhang W, Ge J, Qu Z, Wu W, Lei H, Pan H, Chen H. Evaluation for causal effects of socioeconomic traits on risk of female genital prolapse (FGP): a multivariable Mendelian randomization analysis. BMC Med Genomics 2023; 16:125. [PMID: 37296408 PMCID: PMC10251634 DOI: 10.1186/s12920-023-01560-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Accepted: 05/29/2023] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND Although observational studies have established some socioeconomic traits to be independent risk factors for pelvic organ prolapse (POP), they can not infer causality since they are easily biased by confounding factors and reverse causality. Moreover, it remains ambiguous which one or several of socioeconomic traits play predominant roles in the associations with POP risk. Mendelian randomization (MR) overcomes these biases and can even determine one or several socioeconomic traits predominantly accounting for the associations. OBJECTIVE We conducted a multivariable Mendelian randomization (MVMR) analysis to disentangle whether one or more of five categories of socioeconomic traits, "age at which full-time education completed (abbreviated as "EA")", "job involving heavy manual or physical work ("heavy work")", "average total household income before tax (income)", "Townsend deprivation index at recruitment (TDI)", and "leisure/social activities" exerted independent and predominant effects on POP risk. METHODS We first screened single-nucleotide polymorphisms (SNPs) as proxies for five individual socioeconomic traits and female genital prolapse (FGP, approximate surrogate for POP due to no GWASs for POP) to conduct Univariable Mendelian randomization (UVMR) analyses to estimate causal associations of five socioeconomic traits with FGP risk using IVW method as major analysis. Additionally, we conducted heterogeneity, pleiotropy, and sensitivity analysis to assess the robustness of our results. Then, we harvested a combination of SNPs as an integrated proxy for the five socioeconomic traits to perform a MVMR analysis based on IVW MVMR model. RESULTS UVMR analyses based on IVW method identified causal effect of EA (OR 0.759, 95%CI 0.629-0.916, p = 0.004), but denied that of the other five traits on FGP risk (all p > 0.05). Heterogeneity analyses, pleiotropy analyses, "leave-one-out" sensitivity analyses and MR-PRESSO adjustments did not detect heterogeneity, pleiotropic effects, or result fluctuation by outlying SNPs in the effect estimates of six socioeconomic traits on FGP risk (all p > 0.05). Further, MVMR analyses determined a predominant role of EA playing in the associations of socioeconomic traits with FGP risk based on both MVMR Model 1 (OR 0.842, 95%CI 0.744-0.953, p = 0.006) and Model 2 (OR 0.857, 95%CI 0.759-0.967, p = 0.012). CONCLUSION Our UVMR and MVMR analyses provided genetic evidence that one socioeconomic trait, lower educational attainment, is associated with risk of female genital prolapse, and even independently and predominantly accounts for the associations of socioeconomic traits with risk of female genital prolapse.
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Affiliation(s)
- Wei Zhang
- Department of Critical Care Medicine, Wuhan Jinyintan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430023, Hubei Province, People's Republic of China
| | - Jing Ge
- Department of Critical Care Medicine, Wuhan Jinyintan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430023, Hubei Province, People's Republic of China
| | - Zhaohui Qu
- Department of Critical Care Medicine, Wuhan Jinyintan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430023, Hubei Province, People's Republic of China
| | - Wenjuan Wu
- Department of Critical Care Medicine, Wuhan Jinyintan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430023, Hubei Province, People's Republic of China
| | - Hua Lei
- Department of Tuberculosis, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong, University of Science and Technology, Wuhan, 430023, Hubei Province, People's Republic of China
| | - Huiling Pan
- Department of Tuberculosis, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong, University of Science and Technology, Wuhan, 430023, Hubei Province, People's Republic of China
| | - Honggu Chen
- Department of Orthopedics, the Affiliated Hospital of Jiangsu University, Zhenjiang, 212000, Jiangsu Province, People's Republic of China.
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Biernat E, Krzepota J, Sadowska D. Active or Passive Aging? Analysis of Selected Socioeconomic Factors in the Polish Population. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20064683. [PMID: 36981592 PMCID: PMC10048381 DOI: 10.3390/ijerph20064683] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 02/28/2023] [Accepted: 03/04/2023] [Indexed: 06/01/2023]
Abstract
The aim of this study was to identify the factors that determined the participation of people aged 60 years and older in physical activity (PA) at least once or more frequently in the year before the survey. The analysis included sociodemographic variables, any certificate of disability, level of physical fitness, and declared sports skills. The study used data from the "Participation of Poles in Sports and Physical Recreation in 2012" survey (designed and conducted by Statistics Poland). Questionnaires from 2724 people qualified for analysis. An analysis of frequency and odds ratio (followed by logistic regression analysis) was used to evaluate the determinants of participation of older adults in PA. Participation in PA was declared by 23.7%, most often by older adults aged 60-64 years (chi2 = 67.72; p < 0.001). With age, the likelihood of participation in PA declined until the age of 75, when the percentage of active participants increased to 27.4%. Of the variables analyzed (logistic regression model), only very good (p < 0.001) and good (p = 0.002) levels of self-rated physical fitness, secondary (p = 0.014) or tertiary (p = 0.003) education, and a higher number of declared sports skills (p < 0.001) had a favorable effect on the frequency of participation in PA. The low PA of Poles aged 60 years and over (especially those entering retirement age) requires social intervention. Instead of focusing sports policy on increasing the number of participants, it seems more reasonable to focus on individuals living in rural areas with lower socio-professional status and physical fitness. It is necessary to use an individual approach (according to abilities, skill level, and needs) and create systems of interrelations that would provide older adults with support (including the use of social resources).
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Affiliation(s)
- Elżbieta Biernat
- Collegium of World Economy, SGH Warsaw School of Economics, al. Niepodległości 162, 02-554 Warsaw, Poland
| | - Justyna Krzepota
- Institute of Physical Culture Sciences, University of Szczecin, al. Piastów 40B, blok 6, 71-065 Szczecin, Poland
| | - Dorota Sadowska
- Department of Physiology, Institute for Sport—National Research Institute, ul. Trylogii 2/16, 01-982 Warsaw, Poland
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KARI JAANAT, NERG IIRO, HUIKARI SANNA, LEINONEN ANNAMAIJU, NURKKALA MARJUKKA, FARRAHI VAHID, KORPELAINEN RAIJA, KORHONEN MARKO. The Individual-Level Productivity Costs of Physical Inactivity. Med Sci Sports Exerc 2023; 55:255-263. [PMID: 36125340 PMCID: PMC9815811 DOI: 10.1249/mss.0000000000003037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
PURPOSE This study estimated the long-term individual-level productivity costs of physical inactivity. METHODS The data were drawn from the Northern Finland Birth Cohort 1966, to which the productivity cost variables (sick leaves and disability pensions) from Finnish registries were linked. Individuals ( N = 6261) were categorized into physical activity groups based on their level of physical activity, which was measured in three ways: 1) self-reported leisure-time moderate- to vigorous-intensity physical activity (MVPA) at 46 yr old, 2) longitudinal self-reported leisure-time MVPA at 31-46 yr old, and 3) accelerometer-measured overall MVPA at 46 yr old. The human capital approach was applied to calculate the observed costs (years 2012-2020) and the expected costs (years 2012-2031). RESULTS The results showed that the average individual-level productivity costs were higher among physically inactive compared with the costs among physically active. The results were consistent regardless of the measurement type of physical activity or the period used. On average, the observed long-term productivity costs among physically inactive individuals were €1900 higher based on self-reported MVPA, €1800 higher based on longitudinal MVPA, and €4300 higher based on accelerometer-measured MVPA compared with the corresponding productivity costs among physically active individuals. The corresponding difference in the expected costs was €2800, €1200, and €8700, respectively. CONCLUSIONS The results provide evidence that productivity costs differ according to an individual's level of physical activity. Therefore, investments in physical activity may decrease not only the direct healthcare costs but also the indirect productivity costs paid by the employee, the employer, and the government.
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Affiliation(s)
- JAANA T. KARI
- Jyväskylä University School of Business and Economics, University of Jyväskylä, Jyväskylä, FINLAND
- Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr., Oulu, FINLAND
| | - IIRO NERG
- Department of Economics, Accounting and Finance, University of Oulu, Oulu, FINLAND
| | - SANNA HUIKARI
- Department of Economics, Accounting and Finance, University of Oulu, Oulu, FINLAND
| | - ANNA-MAIJU LEINONEN
- Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr., Oulu, FINLAND
- Center for Life Course Health Research, University of Oulu, Oulu, FINLAND
| | - MARJUKKA NURKKALA
- Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr., Oulu, FINLAND
- Center for Life Course Health Research, University of Oulu, Oulu, FINLAND
| | - VAHID FARRAHI
- Research Unit of Medical Imaging, Physics, and Technology, University of Oulu, Oulu, FINLAND
- Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, FINLAND
| | - RAIJA KORPELAINEN
- Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr., Oulu, FINLAND
- Center for Life Course Health Research, University of Oulu, Oulu, FINLAND
- Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, FINLAND
| | - MARKO KORHONEN
- Department of Economics, Accounting and Finance, University of Oulu, Oulu, FINLAND
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10
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Salokangas H, Böckerman P, Huikari S, Korhonen M, Korpelainen R, Svento R. Did the Finnish depression of the early 1990s have a silver lining? The effect of unemployment on long-term physical activity. ECONOMICS AND HUMAN BIOLOGY 2022; 46:101139. [PMID: 35525102 DOI: 10.1016/j.ehb.2022.101139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 03/29/2022] [Accepted: 04/07/2022] [Indexed: 06/14/2023]
Abstract
This paper studies the impact of long-term unemployment on physical activity. We examined the effects 6 and 15 years following a severe business cycle downturn in Finland over the period 1991-1994. The study sample comprised residents of Northern Finland. The unemployed individuals were 23-26 years old during the downturn. Physical activity, measured by MET minutes and meeting WHO guidelines, was higher 15 years later among those people who experienced the longest periods of unemployment in 1991-1994. Physical activity was somewhat lower among people with relatively shorter periods of unemployment.
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Affiliation(s)
- Henri Salokangas
- Department of Economics, University of Turku, FI-20100 Turku, Finland; Finnish Institute for Health and Welfare, FI-00271 Helsinki, Finland.
| | - Petri Böckerman
- Labour Institute for Economic Research LABORE, FI-00530 Helsinki, Finland; Department of Economics, University of Jyväskylä, FI-40014 Jyväskylä, Finland; IZA Institute of Labor Economics, Bonn, Germany
| | - Sanna Huikari
- Department of Economics, University of Oulu, FI-90014 Oulu, Finland
| | - Marko Korhonen
- Department of Economics, University of Oulu, FI-90014 Oulu, Finland
| | - Raija Korpelainen
- Center for Life Course Health Research, University of Oulu, FI-90014 Oulu, Finland; Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr, FI-90101 Oulu, Finland
| | - Rauli Svento
- Department of Economics, University of Oulu, FI-90014 Oulu, Finland
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11
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Caputo EL, Feter N, Leite JS, Doring IR, Cassuriaga J, Delpino FM, Huckembeck CM, Alt R, da Silva MC, Rombaldi AJ, Reichert FF. Physical activity trajectory in the first 10 months of the COVID-19 pandemic in Southern Brazil: a follow-up study. BMC Sports Sci Med Rehabil 2022; 14:58. [PMID: 35379341 PMCID: PMC8978170 DOI: 10.1186/s13102-022-00450-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 03/28/2022] [Indexed: 12/04/2022]
Abstract
Background A continuous tracking of the PA level during the COVID-19 pandemic is important to understand how people’s behaviour has varied along time. The aim of this study was to evaluate the physical activity (PA) trajectory over the first 10 months of the COVID-19 pandemic in the south of Brazil. Methods Data from three timepoints of the PAMPA Cohort were used, as follows: (1) pre-COVID-19 (retrospective); (2) Jun/Jul 2020; (3) Dec 2020/Jan 2021. Self-reported PA practice, frequency, duration, as well as place where activities were performed (at or out of home) were assessed. Results A reduction in any (from 68.7 to 47.7%), sufficient (from 41.5 to 22.1%) and out of home PA (from 59.4 to 30.1%) was observed from the first (pre-COVID-19) to the second (Jun/Jul 2020) timepoint, followed by an increase in the third timepoint (Dec 2020/Jan 2021) (60.1%, 37.9%, and 54.3% for any, sufficient, and out of home PA, respectively). The PA trajectory was similar, regardless of sex, educational level or income. Only any (p = 0.0007) and sufficient (p = 0.0012) PA showed significant interaction with time by sex. Female participants were less likely to engage in any (OR 0.45 95% CI 0.26; 0.77) and sufficient PA (OR 0.40 95% CI 0.24; 0.66). Conclusion During the first 10 months of COVID-19 pandemic there was a marked fluctuation on PA pattern in adults from southern Brazil. An ongoing tracking of PA behaviour during COVID-19 pandemic is important to understand how this behaviour varies. Public policies should focus on increasing PA in a higher standard than pre-COVID levels. Supplementary Information The online version contains supplementary material available at 10.1186/s13102-022-00450-0.
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Affiliation(s)
- Eduardo L Caputo
- Postgraduate Program of Physical Education, Federal University of Pelotas, Pelotas, Brazil. .,Study Group of Physical Activity Epidemiology, Federal University of Pelotas, Pelotas, Brazil. .,School of Physical Education, Federal University of Pelotas, Luís de Camões Street, 625, Pelotas, RS, 96055-630, Brazil.
| | - Natan Feter
- Postgraduate Program of Physical Education, Federal University of Pelotas, Pelotas, Brazil.,Study Group of Physical Activity Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Jayne S Leite
- Postgraduate Program of Cardiology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Igor R Doring
- Study Group of Physical Activity Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Júlia Cassuriaga
- Postgraduate Program of Physical Education, Federal University of Pelotas, Pelotas, Brazil
| | - Felipe M Delpino
- Postgraduate Program of Nursing, Federal University of Pelotas, Pelotas, Brazil
| | - Caroline M Huckembeck
- Postgraduate Program of Physical Education, Federal University of Pelotas, Pelotas, Brazil
| | - Ricardo Alt
- Postgraduate Program of Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Marcelo C da Silva
- Postgraduate Program of Physical Education, Federal University of Pelotas, Pelotas, Brazil.,Study Group of Physical Activity Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Airton J Rombaldi
- Postgraduate Program of Physical Education, Federal University of Pelotas, Pelotas, Brazil.,Study Group of Physical Activity Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Felipe F Reichert
- Postgraduate Program of Physical Education, Federal University of Pelotas, Pelotas, Brazil.,Study Group of Physical Activity Epidemiology, Federal University of Pelotas, Pelotas, Brazil
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12
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Magutah K, Mbuthia G. Physical activity engagement in Eldoret, Kenya, during COVID-19 pandemic. PLOS GLOBAL PUBLIC HEALTH 2022; 2:e0000339. [PMID: 36962184 PMCID: PMC10021677 DOI: 10.1371/journal.pgph.0000339] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 03/22/2022] [Indexed: 01/04/2023]
Abstract
The World Health Organization (WHO) recommends that individuals of all ages participate in regular physical activity (PA) for optimal health and to support with the control of multiple non-communicable diseases. In Kenya however, involvement in PA across the general population is low and there is an increase in sedentary lifestyles in both rural and urban areas. An inverse relationship exists between socioeconomic status and involvement in PA. The novel COVID-19 ushered in associated control measures to limit the spread of the virus. These measures included staying at home, social distancing, and closure of physical spaces such as gyms, public parks, sports grounds, outdoor playing areas and schools. The impact was immediate, impacting patterns and routines of PA in Kenya. The primary aim of this study was to verify if COVID-19 affected PA prevalence and patterns amongst adults in Eldoret, Kenya. The secondary aim was to ascertain if the modification in behaviour is consistent amongst individuals from different socioeconomic backgrounds. We used a cross-sectional study to examine self-reported PA data amongst 404 participants. All participants were ≥18 years and resided in Eldoret, Kenya. Data were collected using a self-administered, structured questionnaire adapted from the WHO Global Physical Activity Questionnaire (WHO GPAQ). The characteristics of participants' is summarized using descriptive statistics, and bivariate analyses for measures of associations of variables was done using Chi-squared and Fishers exact tests. Binary logistic regressions were performed to adjust for the various factors and report associations between variables. The p-value considered for significant differences was set at <0.05. Participants in this study had mean age of 30.2±9.8 years. Almost 90% of the participants were not aware of the current WHO guidelines on PA, 9% stopped PA engagement after COVID-19 was first reported in Kenya, and only 25% continued regular PA. Less than half maintained PA intensity after the advent of COVID-19, with almost half reporting a drop. Males had a drop in time taken per PA session while females maintained session lengths after COVID-19 (p = 0.03). Males preferred gym-setup or mixed-type PA while females opted for indoor (home) aerobics before and after COVID-19 (p = 0.01, p = 0.02 respectively). Compared to males, females were less likely to achieve both vigorous- and moderate-intensity PA recommendations (p<0.01 and p = 0.02 respectively). Zone of residence was associated with participation in aerobic PA (p = 0.04; 95% CI = 0.02499-0.96086) and, similarly, level of education was associated with knowledge of WHO recommendations for PA (p = 0.01; 95% CI = -1.7544 - -0.2070). A majority of the urban population of Eldoret, Kenya and especially those with lower level of education are unaware of WHO recommendations for PA, and 30% of them have not engaged in any form of PA for many years. The majority that report involvement in PA do not achieve the WHO recommended threshold levels of PA. The results also indicated that COVID-19 has negatively affected intensity of PA, and that there has been an increase in time spent sitting/reclining amongst individuals in the higher socio-economic classes and specifically amongst females.
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Affiliation(s)
| | - Grace Mbuthia
- Jomo Kenyatta University College of Health Sciences, Juja, Kenya
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13
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Wärnberg J, Pérez-Farinós N, Benavente-Marín JC, Gómez SF, Labayen I, G. Zapico A, Gusi N, Aznar S, Alcaraz PE, González-Valeiro M, Serra-Majem L, Terrados N, Tur JA, Segú M, Lassale C, Homs C, Oses M, González-Gross M, Sánchez-Gómez J, Jiménez-Zazo F, Marín-Cascales E, Sevilla-Sánchez M, Herrera-Ramos E, Pulgar S, Bibiloni MDM, Sancho-Moron O, Schröder H, Barón-López FJ. Screen Time and Parents' Education Level Are Associated with Poor Adherence to the Mediterranean Diet in Spanish Children and Adolescents: The PASOS Study. J Clin Med 2021; 10:795. [PMID: 33669366 PMCID: PMC7920265 DOI: 10.3390/jcm10040795] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 01/31/2021] [Accepted: 02/07/2021] [Indexed: 02/07/2023] Open
Abstract
The aim of this study is to evaluate if screen time and parents' education levels are associated with adherence to a Mediterranean dietary pattern. This cross-sectional study analyzed a representative sample of 3333 children and adolescents (8 to 16 years) included in the Physical Activity, Sedentarism, lifestyles and Obesity in Spanish youth (PASOS) study in Spain (which ran from March 2019 to February 2020). Data on screen time (television, computer, video games, and mobile phone) per day, Mediterranean diet adherence, daily moderate or vigorous physical activity, and parents' education levels were gathered using questionnaires. A descriptive study of the variables according to sex and parents' education level was performed. Logistic regression models (adjusted by sex and weight status) were fitted to evaluate the independent association between screen time and Kids' level of adherence to the Mediterranean diet (KIDMED) index, as well as some of its items. A greater amount of screen time was associated with worse adherence to the Mediterranean diet; a lower consumption of fruit, vegetables, fish, legumes, and nuts; and a greater consumption of fast food, sweets, and candies. A lower parents' education level was associated with worse adherence to the Mediterranean diet. It is necessary to promote the responsible, limited use of screen time, especially in children with parents with a lower education level.
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Affiliation(s)
- Julia Wärnberg
- Epi-Phaan Research Group, School of Health Sciences, Universidad de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 29071 Málaga, Spain; (J.W.); (J.C.B.-M.); (F.J.B.-L.)
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (L.S.-M.); (J.A.T.); (C.L.); (M.G.-G.); (M.d.M.B.)
| | - Napoleón Pérez-Farinós
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (L.S.-M.); (J.A.T.); (C.L.); (M.G.-G.); (M.d.M.B.)
- Epi-Phaan Research Group, School of Medicine, Universidad de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 29071 Málaga, Spain
| | - Juan Carlos Benavente-Marín
- Epi-Phaan Research Group, School of Health Sciences, Universidad de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 29071 Málaga, Spain; (J.W.); (J.C.B.-M.); (F.J.B.-L.)
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (L.S.-M.); (J.A.T.); (C.L.); (M.G.-G.); (M.d.M.B.)
| | - Santiago Felipe Gómez
- Programs, Gasol Foundation, Sant Boi de Llobregat, 08830 Barcelona, Spain; (S.F.G.); (C.H.)
- GREpS, Health Education Research Group, Nursing and Physiotherapy Department, University of Lleida, 25198 Lleida, Spain
| | - Idoia Labayen
- ELIKOS Group, Institute for Innovation and Sustainable Development in Food Chain (IS-FOOD), Instituto de Investigación Sanitaria de Navarra, Public University of Navarre, 31006 Pamplona, Spain; (I.L.); (M.O.)
| | - Augusto G. Zapico
- ImFINE Research Group, Department of Health and Human Performance, Universidad Politecnica de Madrid, 28040 Madrid, Spain;
- Department of Didactics of Language, Arts and Physical Education, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Narcis Gusi
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, 10003 Caceres, Spain; (N.G.); (J.S.-G.)
| | - Susana Aznar
- PAFS Research Group, Faculty of Sports Sciences, University of Castilla-La Mancha-Toledo Campus, 45071 Toledo, Spain; (S.A.); (F.J.-Z.)
| | - Pedro Emilio Alcaraz
- Research Center for High Performance Sport, San Antonio Catholic University of Murcia, 30830 Murcia, Spain; (P.E.A.); (E.M.-C.)
- Faculty of Sport Sciences, San Antonio Catholic University of Murcia, 30107 Murcia, Spain
| | - Miguel González-Valeiro
- Faculty of Sports Sciences and Physical Education, Universidade da Coruña, 15179 A Coruña, Spain; (M.G.-V.); (M.S.-S.)
| | - Lluís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (L.S.-M.); (J.A.T.); (C.L.); (M.G.-G.); (M.d.M.B.)
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, 35016 Las Palmas, Spain;
| | - Nicolás Terrados
- Regional Unit of Sports Medicine–Municipal Sports Foundation of Avilés and Health Research Institute of the Principality of Asturias (ISPA), 33401 Avilés, Spain; (N.T.); (S.P.)
| | - Josep A. Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (L.S.-M.); (J.A.T.); (C.L.); (M.G.-G.); (M.d.M.B.)
- Research Group of Community Nutrition and Oxidative Stress, University of the Balearic Islands and IDISBA, 07122 Palma de Mallorca, Spain
| | - Marta Segú
- Probitas Foundation, 08022 Barcelona, Spain; (M.S.); (O.S.-M.)
| | - Camille Lassale
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (L.S.-M.); (J.A.T.); (C.L.); (M.G.-G.); (M.d.M.B.)
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Institute for Medical Research (IMIM), 08003 Barcelona, Spain;
| | - Clara Homs
- Programs, Gasol Foundation, Sant Boi de Llobregat, 08830 Barcelona, Spain; (S.F.G.); (C.H.)
- Global Research on Wellbeing (GRoW), Blanquerna Ramon Llull University Faculty of Health Sciences, 08025 Barcelona, Spain
| | - Maddi Oses
- ELIKOS Group, Institute for Innovation and Sustainable Development in Food Chain (IS-FOOD), Instituto de Investigación Sanitaria de Navarra, Public University of Navarre, 31006 Pamplona, Spain; (I.L.); (M.O.)
| | - Marcela González-Gross
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (L.S.-M.); (J.A.T.); (C.L.); (M.G.-G.); (M.d.M.B.)
- ImFINE Research Group, Department of Health and Human Performance, Universidad Politecnica de Madrid, 28040 Madrid, Spain;
| | - Jesús Sánchez-Gómez
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, 10003 Caceres, Spain; (N.G.); (J.S.-G.)
| | - Fabio Jiménez-Zazo
- PAFS Research Group, Faculty of Sports Sciences, University of Castilla-La Mancha-Toledo Campus, 45071 Toledo, Spain; (S.A.); (F.J.-Z.)
| | - Elena Marín-Cascales
- Research Center for High Performance Sport, San Antonio Catholic University of Murcia, 30830 Murcia, Spain; (P.E.A.); (E.M.-C.)
| | - Marta Sevilla-Sánchez
- Faculty of Sports Sciences and Physical Education, Universidade da Coruña, 15179 A Coruña, Spain; (M.G.-V.); (M.S.-S.)
| | - Estefanía Herrera-Ramos
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, 35016 Las Palmas, Spain;
| | - Susana Pulgar
- Regional Unit of Sports Medicine–Municipal Sports Foundation of Avilés and Health Research Institute of the Principality of Asturias (ISPA), 33401 Avilés, Spain; (N.T.); (S.P.)
| | - María del Mar Bibiloni
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (L.S.-M.); (J.A.T.); (C.L.); (M.G.-G.); (M.d.M.B.)
- Research Group of Community Nutrition and Oxidative Stress, University of the Balearic Islands and IDISBA, 07122 Palma de Mallorca, Spain
| | | | - Helmut Schröder
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Institute for Medical Research (IMIM), 08003 Barcelona, Spain;
- Centro de Investigación Biomédica en Red Fisiopatología de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, 28029 Madrid, Spain
| | - F. Javier Barón-López
- Epi-Phaan Research Group, School of Health Sciences, Universidad de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 29071 Málaga, Spain; (J.W.); (J.C.B.-M.); (F.J.B.-L.)
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (L.S.-M.); (J.A.T.); (C.L.); (M.G.-G.); (M.d.M.B.)
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