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Feng Y, Jia Y, Jiang J, Wang R, Liu C, Liu W, Wang R. Association between lifestyle factors and mental health in apparently healthy young men. BMC Public Health 2024; 24:2129. [PMID: 39107731 PMCID: PMC11301853 DOI: 10.1186/s12889-024-19584-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 07/25/2024] [Indexed: 08/10/2024] Open
Abstract
OBJECTIVE The study aims to explore the relationship between modifiable lifestyle factors (physical activity, sedentary time, body composition, muscle strength) and mental health, and predict future changes in mental health. METHODS A cross-sectional survey was conducted on 133 men (age: 29.03 ± 6.605 years, BMI: 23.58 ± 2.688 kg/m²) to assess baseline body composition, muscle strength, sedentary time, and mental health, with follow-up at 3 months. F-tests were employed to compare the differences in mental health on sedentary time and body composition variables. Spearman correlation analysis was used to examine correlations between variables. RESULTS Spearman's correlation analysis showed that sedentary time, muscle strength and mental health of the subjects were significantly correlated. BMI, BFM, BFMI, PBF were higher in subjects with ≥ 4 h of sedentary time than in the other two shorter sedentary time groups. Subjects with higher PBF (p = 0.047, η2 = 0.030) and BFM (p = 0.032, η2 = 0.035) had severer depression. Subjects who sat for ≥ 4 h at a time were more severely depressed than those who sat for 2-4 h (p = 0.020). Change in depression was significantly negatively correlated with BMI, BFM, BFMI and PBF. Subjects with higher PBF (p = 0.023, η2 = 0.050) and BFM (p = 0.005, η2 = 0.075) at the baseline had less change in depression. CONCLUSION A Significant correlation was found between sedentary time, body composition and mental health, and baseline body composition predicted changes in mood three months later.
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Affiliation(s)
- Yue Feng
- School of Exercise and Health, Shanghai University of Sport, Shanghai, 200438, China
| | - Yanpu Jia
- The Emotion & Cognition Lab, Faculty of Psychology and Mental Health, Naval Medical University, Shanghai, 200433, China
| | - Jialin Jiang
- Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, 200433, China
| | - Ruwen Wang
- School of Exercise and Health, Shanghai University of Sport, Shanghai, 200438, China
| | - Cheng Liu
- School of Exercise and Health, Shanghai University of Sport, Shanghai, 200438, China
| | - Weizhi Liu
- The Emotion & Cognition Lab, Faculty of Psychology and Mental Health, Naval Medical University, Shanghai, 200433, China.
| | - Ru Wang
- School of Exercise and Health, Shanghai University of Sport, Shanghai, 200438, China.
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Sa'ari AS, Hamid MRA, 'Ain Azizan N, Ismail NH. Examining the evidence between screen time and night eating behaviour with dietary intake related to metabolic syndrome: A narrative review. Physiol Behav 2024; 280:114562. [PMID: 38641187 DOI: 10.1016/j.physbeh.2024.114562] [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: 12/10/2023] [Accepted: 04/17/2024] [Indexed: 04/21/2024]
Abstract
Screen time (ST) on digital devices has increased in recent decades due to digital development. Furthermore, constant engagement with digital devices alters sleep patterns, leading to nocturnal eating behaviour among users. These phenomena are therefore of great concern, as digital device addiction and night eating are associated with unhealthy food intake, increasing the metabolic syndrome (MetS) risks. The purpose of this review was to examine the evidence of the influence of ST and night eating behaviour (NEB) on dietary intake and its association with MetS based on previous literature. Prolonged ST and NEB have an association with excessive intake of energy from overconsumption of high-sugar and high-fat foods. However, the relationship between digital content and its influence on food intake is inconsistent. A higher MetS risk was found in individuals with longer ST due to a sedentary lifestyle, while positive energy balance and a shift in circadian rhythm contributed to night eaters. ST and NEB presented with a significant influence on food intake in adults. Additionally, unhealthy food intake due to excessive consumption of empty-calorie foods such as sweet and fatty foods due to addiction to electronic devices and eating at night has a detrimental effect on metabolic function. Therefore, improving food intake by reducing ST and night binges is essential to reduce the risk of MetS.
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Affiliation(s)
- Athirah Sorfina Sa'ari
- Centre for Dietetics Studies, Faculty of Health Sciences, Universiti Teknologi MARA, Puncak Alam Campus, Bandar Puncak Alam, Selangor Darul Ehsan 42300, Malaysia
| | - Mohd Ramadan Ab Hamid
- Centre for Dietetics Studies, Faculty of Health Sciences, Universiti Teknologi MARA, Puncak Alam Campus, Bandar Puncak Alam, Selangor Darul Ehsan 42300, Malaysia; Integrated Nutrition Science and Therapy Research Group (INSPiRE), Faculty of Health Sciences, Universiti Teknologi MARA, Puncak Alam Campus, Bandar Puncak Alam, Selangor Darul Ehsan 42300, Malaysia.
| | - Nurul 'Ain Azizan
- Integrated Nutrition Science and Therapy Research Group (INSPiRE), Faculty of Health Sciences, Universiti Teknologi MARA, Puncak Alam Campus, Bandar Puncak Alam, Selangor Darul Ehsan 42300, Malaysia; School of Biosciences, University of Nottingham Malaysia, Jalan Broga, Semenyih, Selangor Darul Ehsan 43500, Malaysia
| | - Nazrul Hadi Ismail
- Centre for Dietetics Studies, Faculty of Health Sciences, Universiti Teknologi MARA, Puncak Alam Campus, Bandar Puncak Alam, Selangor Darul Ehsan 42300, Malaysia; Integrated Nutrition Science and Therapy Research Group (INSPiRE), Faculty of Health Sciences, Universiti Teknologi MARA, Puncak Alam Campus, Bandar Puncak Alam, Selangor Darul Ehsan 42300, Malaysia
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The moderating effect of physical activity on the association between screen-based behaviors and chronic diseases. Sci Rep 2022; 12:15066. [PMID: 36064965 PMCID: PMC9445100 DOI: 10.1038/s41598-022-19305-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 08/26/2022] [Indexed: 11/18/2022] Open
Abstract
We analyzed the associations of screen-based behaviors with obesity, hypertension, and diabetes, and the moderation of different physical activity (PA) domains in these associations. We used data from the 2019 Brazilian National Health Survey, including data from 80,940 adults (mean age of 32.6 years). TV viewing, other screens (PC, tablet, and cell phone), PA domains (leisure-time, occupational, and transport) were collected via interview. Logistic regression models were used. There was a dose–response association of higher TV viewing with diabetes. Within the groups with medium and higher time spent on other screens, those with < 150 min/week in leisure-time PA increased the odds for obesity [1–2.9 h/day: OR = 1.18 (1.01, 1.39)] and hypertension [1–2.9 h/day: OR = 1.29 (1.08, 1.53); ≥ 6 h/day: OR = 1.47 (1.03, 2.09)]. Likewise, among the participants who spent ≥ 6 h/day of TV viewing, those with < 150 min/week of occupational PA presented higher odds for hypertension [OR = 1.61 (1.03, 2.53)]. In the group with higher use of other screens, < 150 min per week of occupational PA was associated with lower odds for obesity [1–2.9 h/day: OR = 0.81 (0.68, 0.97)] and hypertension [≥ 6 h/day: OR = 0.65 (0.44, 0.98)]. In conclusion, the associations of other screens with obesity and hypertension were strongest among those without leisure-time PA, while the moderator role of occupational PA was not clear.
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Zhang RQ, Kuo K, Liu FT, Chen SD, Yang YX, Guo Y, Dong Q, Tan L, Zhang C, Yu JT. Shared polygenic risk and causal inferences in Parkinson's disease. BRAIN DISORDERS 2022. [DOI: 10.1016/j.dscb.2022.100048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Hong R, Huang J, Xu C, Zhang X, Mi F, Xu F, Wang Y, Feng Y, Yin J. Association of Sedentary Behavior and Physical Activity With Hyperuricemia and Sex Differences: Results From the China Multi-Ethnic Cohort Study. J Rheumatol 2022; 49:513-522. [PMID: 35169050 DOI: 10.3899/jrheum.211180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/26/2022] [Indexed: 06/14/2023]
Abstract
OBJECTIVE To determine the association of physical activity (PA) and sedentary time (ST; leisure and total ST), commuting mode with hyperuricemia in a multiethnic Chinese population, and to analyze the difference between sexes. METHODS Baseline data were analyzed from 22,094 participants from the China Multi-Ethnic Cohort study in the Yunnan region, China. PA and sedentary behavior were assessed through questionnaires. Hyperuricemia was defined as serum urate > 7.0 mg/dL among men and > 6.0 mg/dL among women. A restricted cubic spline (RCS) was created to model the possible nonlinear relationship of PA and ST with hyperuricemia. Logistic regression was used to estimate the odds ratio (OR) and 95% CI. RESULTS Hyperuricemia prevalence in the observed population was 15.5% (men 25.5%, women 10.7%). Compared to those with light PA, participants with moderate-to-vigorous PA had lower odds of hyperuricemia (adjusted ORs were 0.85 [95% CI 0.77-0.94] and 0.88 [95% CI 0.79-0.97]). However, RCS showed a U-shaped nonlinear relationship between PA and hyperuricemia, and a linear relationship between hyperuricemia prevalence and increasing ST. Total ST ≥ 4 hours/day increased the risk of hyperuricemia in women but not in men. Mode of transportation revealed that sedentary behavior increased the risk of hyperuricemia, but there were inconsistent results based on sex. CONCLUSION Moderate PA may be more beneficial in reducing the risk of hyperuricemia. Reducing ST may have a greater effect on preventing hyperuricemia in females than in males.
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Affiliation(s)
- Rudan Hong
- R. Hong, MMed, J. Huang, MMed, C. Xu, MMed, X. Zhang, BS Med, F. Mi, MD, F. Xu, MMed, Y. Wang, MD, Y. Feng, MD, Department of Nutrition and Food Hygiene, School of Public Health, Kunming Medical University, Kunming City
| | - Juan Huang
- R. Hong, MMed, J. Huang, MMed, C. Xu, MMed, X. Zhang, BS Med, F. Mi, MD, F. Xu, MMed, Y. Wang, MD, Y. Feng, MD, Department of Nutrition and Food Hygiene, School of Public Health, Kunming Medical University, Kunming City
| | - Chuanzhi Xu
- R. Hong, MMed, J. Huang, MMed, C. Xu, MMed, X. Zhang, BS Med, F. Mi, MD, F. Xu, MMed, Y. Wang, MD, Y. Feng, MD, Department of Nutrition and Food Hygiene, School of Public Health, Kunming Medical University, Kunming City
| | - Xuehui Zhang
- R. Hong, MMed, J. Huang, MMed, C. Xu, MMed, X. Zhang, BS Med, F. Mi, MD, F. Xu, MMed, Y. Wang, MD, Y. Feng, MD, Department of Nutrition and Food Hygiene, School of Public Health, Kunming Medical University, Kunming City
| | - Fei Mi
- R. Hong, MMed, J. Huang, MMed, C. Xu, MMed, X. Zhang, BS Med, F. Mi, MD, F. Xu, MMed, Y. Wang, MD, Y. Feng, MD, Department of Nutrition and Food Hygiene, School of Public Health, Kunming Medical University, Kunming City
| | - Fang Xu
- R. Hong, MMed, J. Huang, MMed, C. Xu, MMed, X. Zhang, BS Med, F. Mi, MD, F. Xu, MMed, Y. Wang, MD, Y. Feng, MD, Department of Nutrition and Food Hygiene, School of Public Health, Kunming Medical University, Kunming City
| | - Yanjiao Wang
- R. Hong, MMed, J. Huang, MMed, C. Xu, MMed, X. Zhang, BS Med, F. Mi, MD, F. Xu, MMed, Y. Wang, MD, Y. Feng, MD, Department of Nutrition and Food Hygiene, School of Public Health, Kunming Medical University, Kunming City
| | - Yuemei Feng
- R. Hong, MMed, J. Huang, MMed, C. Xu, MMed, X. Zhang, BS Med, F. Mi, MD, F. Xu, MMed, Y. Wang, MD, Y. Feng, MD, Department of Nutrition and Food Hygiene, School of Public Health, Kunming Medical University, Kunming City
| | - Jianzhong Yin
- J. Yin, MMed, Department of Nutrition and Food Hygiene, School of Public Health, Kunming Medical University, Kunming City, and Baoshan College of Traditional Chinese Medicine, Baoshan, China
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Kochman M, Kasperek W, Guzik A, Drużbicki M. Body Composition and Physical Fitness: Does This Relationship Change in 4 Years in Young Adults? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19031579. [PMID: 35162603 PMCID: PMC8835316 DOI: 10.3390/ijerph19031579] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/27/2022] [Accepted: 01/28/2022] [Indexed: 02/04/2023]
Abstract
(1) Background: There are few studies investigating the relationship between physical fitness and body composition in young adults and, to our knowledge, there are no such reports focusing specifically on physiotherapy students. This observational study aimed to assess the relationship between physical fitness and selected anthropometric measurements as well as body composition in Polish students in the first year and in the final year of a university course in physiotherapy. (2) Methods: A group of 100 randomly selected individuals were recruited among first- and fifth-year students of physiotherapy (50% women), who were assigned to two groups: A (aged 19 years) and B (aged 23 years). Body composition was assessed using a Tanita TBF-300 Analyzer, and physical fitness was measured using Zuchora’s Physical Fitness Index. (3) Results: A higher level of general fitness was identified in students from Group B (p = 0.0261), and lower values of the fat mass index was found in Group A (p = 0.0441). Group A was found with correlations between general level of physical fitness and the following indexes: fat% (R = −0.4; p = 0.0018), FM (R = −0.3; p = 0.0310), FFM (R = 0.3; p = 0.0229) and TBW (R = 0.4; p = 0.0024), whereas Group B was found with correlations between general physical fitness and BMI (R = 0.3; p = 0.0308) as well as FM index (R = 0.3; p = 0.0431). (4) Conclusions: The findings show significant differences between the groups in physical fitness, body composition and selected anthropometric measurements. Older students presented higher level of general fitness, whereas younger students were found with a lower mean value of fat index.
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Maranhao Neto GA, Pavlovska I, Polcrova A, Mechanick JI, Infante-Garcia MM, Medina-Inojosa J, Nieto-Martinez R, Lopez-Jimenez F, Gonzalez-Rivas JP. The Combined Effects of Television Viewing and Physical Activity on Cardiometabolic Risk Factors: The Kardiovize Study. J Clin Med 2022; 11:jcm11030545. [PMID: 35159997 PMCID: PMC8836375 DOI: 10.3390/jcm11030545] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/14/2022] [Accepted: 01/19/2022] [Indexed: 02/06/2023] Open
Abstract
The aim of the present study was to evaluate the association between television viewing/physical activity (TVV/PA) interactions and cardiometabolic risk in an adult European population. A total of 2155 subjects (25–64 years) (45.2% males), a random population-based sample were evaluated in Brno, Czechia. TVV was classified as low (<2 h/day), moderate (2–4), and high (≥4). PA was classified as insufficient, moderate, and high. To assess the independent association of TVV/PA categories with cardiometabolic variables, multiple linear regression was used. After adjustments, significant associations were: High TVV/insufficient PA with body mass index (BMI) (β = 2.61, SE = 0.63), waist circumference (WC) (β = 7.52, SE = 1.58), body fat percent (%BF) (β = 6.24, SE = 1.02), glucose (β = 0.25, SE = 0.12), triglycerides (β = 0.18, SE = 0.05), and high density lipoprotein (HDL-c) (β = −0.10, SE = 0.04); high TVV/moderate PA with BMI (β = 1.98, SE = 0.45), WC (β = 5.43, SE = 1.12), %BF (β = 5.15, SE = 0.72), triglycerides (β = 0.08, SE = 0.04), total cholesterol (β = 0.21, SE = 0.10), low density protein (LDL-c) (β = 0.19, SE = 0.08), and HDL-c (β = −0.07, SE = 0.03); and moderate TVV/insufficient PA with WC (β = 2.68, SE = 1.25), %BF (β = 3.80, SE = 0.81), LDL-c (β = 0.18, SE = 0.09), and HDL-c (β = −0.07, SE = 0.03). Independent of PA levels, a higher TVV was associated with higher amounts of adipose tissue. Higher blood glucose and triglycerides were present in subjects with high TVV and insufficient PA, but not in those with high PA alone. These results affirm the independent cardiometabolic risk of sedentary routines even in subjects with high-levels of PA.
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Affiliation(s)
- Geraldo A. Maranhao Neto
- International Clinical Research Center (ICRC), St Anne’s University Hospital (FNUSA) Brno, 656 91 Brno, Czech Republic; (I.P.); (A.P.); (M.M.I.-G.); (J.P.G.-R.)
- Correspondence: ; Tel.: +4-207-345-23179
| | - Iuliia Pavlovska
- International Clinical Research Center (ICRC), St Anne’s University Hospital (FNUSA) Brno, 656 91 Brno, Czech Republic; (I.P.); (A.P.); (M.M.I.-G.); (J.P.G.-R.)
- Department of Public Health, Faculty of Medicine, Masaryk University, 601 77 Brno, Czech Republic
| | - Anna Polcrova
- International Clinical Research Center (ICRC), St Anne’s University Hospital (FNUSA) Brno, 656 91 Brno, Czech Republic; (I.P.); (A.P.); (M.M.I.-G.); (J.P.G.-R.)
- Research Centre for Toxic Compounds in the Environment (RECETOX), Masaryk University, 601 77 Brno, Czech Republic
| | - Jeffrey I. Mechanick
- The Marie-Josée and Henry R. Kravis Center for Cardiovascular Health at Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA;
| | - Maria M. Infante-Garcia
- International Clinical Research Center (ICRC), St Anne’s University Hospital (FNUSA) Brno, 656 91 Brno, Czech Republic; (I.P.); (A.P.); (M.M.I.-G.); (J.P.G.-R.)
- Foundation for Clinic, Public Health, and Epidemiology Research of Venezuela (FISPEVEN INC), Caracas 3001, Venezuela;
| | - Jose Medina-Inojosa
- Division of Preventive Cardiology, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA; (J.M.-I.); (F.L.-J.)
| | - Ramfis Nieto-Martinez
- Foundation for Clinic, Public Health, and Epidemiology Research of Venezuela (FISPEVEN INC), Caracas 3001, Venezuela;
- Department of Global Health and Population, Harvard TH Chan School of Public Health, Harvard University, Boston, MA 02138, USA
- LifeDoc Health, Memphis, TN 38119, USA
| | - Francisco Lopez-Jimenez
- Division of Preventive Cardiology, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA; (J.M.-I.); (F.L.-J.)
| | - Juan P. Gonzalez-Rivas
- International Clinical Research Center (ICRC), St Anne’s University Hospital (FNUSA) Brno, 656 91 Brno, Czech Republic; (I.P.); (A.P.); (M.M.I.-G.); (J.P.G.-R.)
- Foundation for Clinic, Public Health, and Epidemiology Research of Venezuela (FISPEVEN INC), Caracas 3001, Venezuela;
- Department of Global Health and Population, Harvard TH Chan School of Public Health, Harvard University, Boston, MA 02138, USA
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Aghababian AH, Sadler JR, Jansen E, Thapaliya G, Smith KR, Carnell S. Binge Watching during COVID-19: Associations with Stress and Body Weight. Nutrients 2021; 13:3418. [PMID: 34684420 PMCID: PMC8539795 DOI: 10.3390/nu13103418] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 09/20/2021] [Accepted: 09/24/2021] [Indexed: 01/27/2023] Open
Abstract
Binge watching is becoming increasingly common and may impact energy balance and body weight. The COVID-19 pandemic has created conditions conducive to binge watching and increased stress. We investigated relationships between COVID-related stress and binge watching behaviors, and potential variation in this relationship by body weight. Adults (n = 466) completed a cross-sectional online survey assessing binge watching behaviors during and before the pandemic, COVID-related stress, and body weight. Participants reported an increase in binge watching frequency from before to during the pandemic (F1,401 = 99.970, p < 0.001), with rates of high binge watching ("3-4 times per week" to "3 or more times per day") increasing from 14.6% to 33.0%. Binge watching episode duration increased from 3.26 ± 1.89 h to 3.92 ± 2.08 h (p < 0.001). The increase in binge watching frequency was greatest in individuals with obesity and high stress (F 4,401 = 4.098, p = 0.003). Participants reporting high stress reported higher frequency of eating while binge watching, as well as higher levels of negative emotional triggers, consequences to binge watching, and lack of control over binge watching (all p < 0.001). Our results show that binge watching increased during the pandemic, with greater increases among individuals reporting higher COVID-related stress, especially those with obesity, and concomitant effects on eating, and highlight a need for interventions to minimize the obesogenic impact of binge watching during the pandemic.
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Affiliation(s)
- Anahys H. Aghababian
- Division of Child & Adolescent Psychiatry, Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (J.R.S.); (E.J.); (G.T.); (S.C.)
| | - Jennifer R. Sadler
- Division of Child & Adolescent Psychiatry, Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (J.R.S.); (E.J.); (G.T.); (S.C.)
| | - Elena Jansen
- Division of Child & Adolescent Psychiatry, Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (J.R.S.); (E.J.); (G.T.); (S.C.)
| | - Gita Thapaliya
- Division of Child & Adolescent Psychiatry, Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (J.R.S.); (E.J.); (G.T.); (S.C.)
| | - Kimberly R. Smith
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA;
| | - Susan Carnell
- Division of Child & Adolescent Psychiatry, Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (J.R.S.); (E.J.); (G.T.); (S.C.)
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Bertuol C, Tozetto WR, Streb AR, Del Duca GF. Combined relationship of physical inactivity and sedentary behaviour with the prevalence of noncommunicable chronic diseases: data from 52,675 Brazilian adults and elderly. Eur J Sport Sci 2021; 22:617-626. [PMID: 33476222 DOI: 10.1080/17461391.2021.1880646] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
This paper aims to verify the association between the combined relationship of physical inactivity and sedentary behaviour (SB) at leisure-time and the prevalence of noncommunicable chronic diseases (NCDs) in Brazilian adults and elderly. This is a cross-sectional study, derived from the VIGITEL system, with individuals ≥18 years old (n = 52,675). The presence of NCDs (diabetes, hypertension, and obesity) and the independent variables were defined by self-report. Binary logistic regression was used. While adults with the presence of, at least, one risky behaviour had a higher odds to have obesity (OR active + high SB: 1.25; 95%CI: 1.01;1.54; OR inactive + low SB: 1.47; 95%CI: 1.25;1.73; OR inactive + high SB: 1.77; 95%CI: 1.47;2.12), the elderly had an increased risk for this outcome only when classified as inactive (OR inactive + low SB: 1.43; 95%CI: 1.17;1.75; OR inactive + high SB: 1.87; 95%CI: 1.47;2.38). Inactive adults with low SB were more likely to have diabetes (OR inactive + low SB: 1.31; 95%CI: 1.00;1.71) and hypertension (OR inactive + low SB: 1.26; 95%CI: 1.08;1.46), while physical inactivity was again more strongly associated with these outcomes in the elderly, for diabetes (OR inactive + low SB: 1.23; 95%CI: 1.02;1.48; OR inactive + high SB: 1.75; 95%CI: 1.39;2.19), and hypertension (OR inactive + low SB: 1.22; 95%CI: 1.05;1.41; OR inactive + high SB: 1.60; 95%CI: 1.33;1.94) Both leisure-time behaviours carry a high risk of the prevalence of different NCDs, however, physical inactivity, isolated or combined, showed a greater association with the evaluated outcomes.Highlights This cross-national survey included representative sample of people ≥18 years old.Adults with at least one evident risky behavior had a higher chance of obesity.Inactive adults with low sedentary behavior had higher chances for diabetes and hypertension.Physical inactivity was more strongly associated with all diseases in the elderly.
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Affiliation(s)
- Cecília Bertuol
- Sports Center, Federal University of Santa Catarina, Florianopolis, Brazil
| | | | - Anne Ribeiro Streb
- Sports Center, Federal University of Santa Catarina, Florianopolis, Brazil
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Schroyer D. Media Effects on Individual Worldview and Wellness for Long-Term Care Residents Amid the COVID-19 Virus. THE GERONTOLOGIST 2021; 61:8-12. [PMID: 32726443 PMCID: PMC7454675 DOI: 10.1093/geront/gnaa095] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Indexed: 11/23/2022] Open
Abstract
The following article serves as a means tohighlightthe need for increased scrutiny of the value and potentially adverse effect the 24-hour news cycle has on individuals, particularly residents in a long-term care setting amidst the COVID-19 pandemic or other large-scale catastrophic events. The work will emphasize what is currently known regarding the impact media plays on an individual, including mood, opinion, worldview, and overall mental health and wellness. The conclusion will focus on discussing current means of assessment with future recommendations for heightened evaluation in this already vulnerable population.
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Chase KL, Patek KT, Walker JL, Mettler JA. Predicting Resting Metabolic Rate with Easily Obtained Measures: The Influence of Body Circumference. TRANSLATIONAL JOURNAL OF THE AMERICAN COLLEGE OF SPORTS MEDICINE 2021. [DOI: 10.1249/tjx.0000000000000162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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12
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Van Dyck D, Barnett A, Van Cauwenberg J, Zhang CJP, Sit CHP, Cerin E. Main and interacting effects of physical activity and sedentary time on older adults' BMI: The moderating roles of socio-demographic and environmental attributes. PLoS One 2020; 15:e0235833. [PMID: 32645072 PMCID: PMC7347204 DOI: 10.1371/journal.pone.0235833] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 06/23/2020] [Indexed: 12/31/2022] Open
Abstract
Objectives Our first aim was to examine the main and interacting effects of accelerometer-based sedentary time (ST) and moderate-to-vigorous physical activity (MVPA) with BMI and the likelihood of being overweight/obese in Hong Kong and Ghent (Belgium) older adults. Second, we examined whether these main associations and interactions between MVPA and ST were moderated by socio-demographics (gender, education) and objective neighbourhood attributes supposed to be associated with healthy food intake (food outlet density, neighbourhood-level SES). Finally, we determined whether the associations and interactions were generalisable across study sites. Methods Data from the ALECS (Hong Kong) and BEPAS Seniors studies (Ghent), two comparable observational studies, were used. Older adults (n = 829, 65+) provided self-reported socio-demographic information and objective MVPA and ST data using Actigraph accelerometers. Annual household income data and GIS software were used to assess neighbourhood-level SES and food outlet density. Generalised additive mixed models were conducted in R. Results ST was linearly and positively related to both weight outcomes in the overall sample, while MVPA was not. The overall-sample analyses including the two-way interaction between MVPA and ST showed no interactions between these behaviours on weight outcomes. Three site-specific findings were identified, showing distinct associations in Hong Kong compared to Ghent. Study site moderated the interaction between ST and MVPA on both weight outcomes, the interaction between education and ST on both weight outcomes and the interaction between the number of food outlets and ST on being overweight/obese. Conclusions The country-specific effects confirm the cultural dependency and complexity of the associations between PA, ST and weight outcomes. Future longitudinal international studies including older adults from multiple regions assessing PA, ST, weight outcomes and dietary intake should be encouraged. Such studies are needed to refine the recommendations regarding ST and PA in older adults in light of preventing overweight and obesity.
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Affiliation(s)
- Delfien Van Dyck
- Faculty of Medicine and Health Sciences, Department of Movement and Sports Science, Ghent University, Ghent, Belgium
- Research Foundation Flanders, Brussels, Belgium
- * E-mail:
| | - Anthony Barnett
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - Jelle Van Cauwenberg
- Research Foundation Flanders, Brussels, Belgium
- Faculty of Medicine and Health Sciences, Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | | | - Cindy H. P. Sit
- Faculty of Education, Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Hong Kong, China
| | - Ester Cerin
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- School of Public Health, The University of Hong Kong, Hong Kong, China
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia
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