1
|
Valente N, Forte P, Teixeira JE, Afonso P, Ferreira S, Marinho DA, Duarte Mendes P, Ferraz R, Branquinho L. Tracking the Prevalence of Obesity in Portuguese School-Aged Children: What Future to Expect? CHILDREN (BASEL, SWITZERLAND) 2024; 11:976. [PMID: 39201912 PMCID: PMC11352931 DOI: 10.3390/children11080976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Revised: 08/01/2024] [Accepted: 08/07/2024] [Indexed: 09/03/2024]
Abstract
BACKGROUND Childhood obesity presents a significant public health concern globally, with implications for cardiovascular health and metabolic syndrome. In Portugal, approximately 31.6% of children are affected, highlighting the urgency for intervention strategies. This study aimed to assess the prevalence of overweight and obesity in Portuguese school-aged children, with a focus on sex and age differences. METHODS Anthropometric measurements were conducted on 1564 children aged 6-10 years, including weight, height, and skinfold thickness. Body Mass Index (BMI) and the percentage of body fat were calculated using established methods. RESULTS The results revealed significant differences in BMI (≤0.001) and body fat percentage (≤0.001) among different BMI categories, with a notable prevalence of overweight and obesity, particularly among boys. A total of 37% of the studied population is overweight or obese, among which 40.1% and 33.9% are boys and girls, respectively. CONCLUSIONS This study highlights statistically significant differences in BMI and body fat percentage for both sexes in different BMI categories. A large proportion of the population is overweight or obese, with a greater prevalence in boys. In short, childhood obesity has a negative impact on body composition and is associated with significant differences in anthropometric parameters, emphasizing the importance of preventative and intervention strategies to address this health problem.
Collapse
Affiliation(s)
- Nelson Valente
- Biosciences Higher School of Elvas, Polytechnic Institute of Portalegre, 7300-110 Portalegre, Portugal; (N.V.); (L.B.)
- Research Center of Higher Institute of Educational Sciences (CI-ISCE), 4560-547 Penafiel, Portugal;
- Life Quality Research Centre (CIEQV), 2040-413 Portalegre, Portugal
| | - Pedro Forte
- Research Center of Higher Institute of Educational Sciences (CI-ISCE), 4560-547 Penafiel, Portugal;
- Department of Sports Sciences, Polytechnic Institute of Bragança, 5300-252 Bragança, Portugal;
- Research Center in Sports Sciences, Health Sciences and Human Development (CIDESD), 6201-001 Covilhã, Portugal; (D.A.M.); (R.F.)
- LiveWell—Research Centre for Active Living and Wellbeing, Polytechnic Institute of Bragança, 5300-252 Bragança, Portugal
- Department of Sports Sciences, Higher Institute of Educational Sciences of the Douro, 4560-708 Penafiel, Portugal;
| | - José E. Teixeira
- Department of Sports Sciences, Polytechnic Institute of Bragança, 5300-252 Bragança, Portugal;
- Research Center in Sports Sciences, Health Sciences and Human Development (CIDESD), 6201-001 Covilhã, Portugal; (D.A.M.); (R.F.)
- Department of Sports Sciences, Polytechnic of Guarda, 6300-559 Guarda, Portugal
- SPRINT—Sport Physical Activity and Health Research & Inovation Center, 2040-413 Rio Maior, Portugal
| | - Pedro Afonso
- Department of Sports Sciences, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal;
| | - Sérgio Ferreira
- Department of Sports Sciences, Higher Institute of Educational Sciences of the Douro, 4560-708 Penafiel, Portugal;
| | - Daniel A. Marinho
- Research Center in Sports Sciences, Health Sciences and Human Development (CIDESD), 6201-001 Covilhã, Portugal; (D.A.M.); (R.F.)
- Department of Sports Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal
| | - Pedro Duarte Mendes
- SPRINT—Sport Physical Activity and Health Research & Inovation Center, 2040-413 Rio Maior, Portugal
- Sport, Health & Exercise Research Unit (SHERU), Polytechnic Institute of Castelo Branco, 6000-084 Castelo Branco, Portugal
| | - Ricardo Ferraz
- Research Center in Sports Sciences, Health Sciences and Human Development (CIDESD), 6201-001 Covilhã, Portugal; (D.A.M.); (R.F.)
- Department of Sports Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal
| | - Luís Branquinho
- Biosciences Higher School of Elvas, Polytechnic Institute of Portalegre, 7300-110 Portalegre, Portugal; (N.V.); (L.B.)
- Research Center of Higher Institute of Educational Sciences (CI-ISCE), 4560-547 Penafiel, Portugal;
- Life Quality Research Centre (CIEQV), 2040-413 Portalegre, Portugal
- Research Center in Sports Sciences, Health Sciences and Human Development (CIDESD), 6201-001 Covilhã, Portugal; (D.A.M.); (R.F.)
| |
Collapse
|
2
|
Zink J, Booker R, Wolff-Hughes DL, Allen NB, Carnethon MR, Alexandria SJ, Berrigan D. Longitudinal associations of screen time, physical activity, and sleep duration with body mass index in U.S. youth. Int J Behav Nutr Phys Act 2024; 21:35. [PMID: 38566134 PMCID: PMC10988901 DOI: 10.1186/s12966-024-01587-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 03/25/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Youth use different forms of screen time (e.g., streaming, gaming) that may be related to body mass index (BMI). Screen time is non-independent from other behaviors, including physical activity and sleep duration. Statistical approaches such as isotemporal substitution or compositional data analysis (CoDA) can model associations between these non-independent behaviors and health outcomes. Few studies have examined different types of screen time, physical activity, and sleep duration simultaneously in relation to BMI. METHODS Data were baseline (2017-2018) and one-year follow-up (2018-2019) from the Adolescent Brain Cognitive Development Study, a multi-site study of a nationally representative sample of U.S. youth (N = 10,544, mean [SE] baseline age = 9.9 [0.03] years, 48.9% female, 45.4% non-White). Participants reported daily minutes of screen time (streaming, gaming, socializing), physical activity, and sleep. Sex-stratified models estimated the association between baseline behaviors and follow-up BMI z-score, controlling for demographic characteristics, internalizing symptoms, and BMI z-score at baseline. RESULTS In females, isotemporal substitution models estimated that replacing 30 min of socializing (β [95% CI] = -0.03 [-0.05, -0.002]), streaming (-0.03 [-0.05, -0.01]), or gaming (-0.03 [-0.06, -0.01]) with 30 min of physical activity was associated with a lower follow-up BMI z-score. In males, replacing 30 min of socializing (-0.03 [-0.05, -0.01]), streaming (-0.02 [-0.03, -0.01]), or gaming (-0.02 [-0.03, -0.01]) with 30 min of sleep was associated with a lower follow-up BMI z-score. In males, replacing 30 min of socializing with 30 min of gaming was associated with a lower follow-up BMI z-score (-0.01 [-0.03, -0.0001]). CoDA estimated that in males, a greater proportion of time spent in baseline socializing, relative to the remaining behaviors, was associated with a higher follow-up BMI z-score (0.05 [0.02, 0.08]). In females, no associations between screen time and BMI were observed using CoDA. CONCLUSIONS One-year longitudinal associations between screen time and BMI may depend on form of screen time, what behavior it replaces (physical activity or sleep), and participant sex. The alternative statistical approaches yielded somewhat different results. Experimental manipulation of screen time and investigation of biopsychosocial mechanisms underlying the observed sex differences will allow for causal inference and can inform interventions.
Collapse
Affiliation(s)
- Jennifer Zink
- Division of Cancer Control and Population Sciences, Behavioral Research Program, Health Behaviors Research Branch, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA.
| | - Robert Booker
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 680 N Lake Shore Drive, Chicago, IL, 60611, USA
| | - Dana L Wolff-Hughes
- Division of Cancer Control and Population Sciences, Epidemiology and Genomics Research Program, Risk Factors Assessment Branch, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA
| | - Norrina B Allen
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 680 N Lake Shore Drive, Chicago, IL, 60611, USA
| | - Mercedes R Carnethon
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 680 N Lake Shore Drive, Chicago, IL, 60611, USA
| | - Shaina J Alexandria
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 680 N Lake Shore Drive, Chicago, IL, 60611, USA
| | - David Berrigan
- Division of Cancer Control and Population Sciences, Behavioral Research Program, Health Behaviors Research Branch, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA
| |
Collapse
|
3
|
Aljahdali AA, Baylin A, Ruiz-Narvaez EA, Kim HM, Cantoral A, Tellez-Rojo MM, Banker M, Peterson KE. Sedentary patterns and cardiometabolic risk factors in Mexican children and adolescents: analysis of longitudinal data. Int J Behav Nutr Phys Act 2022; 19:143. [PMID: 36456985 PMCID: PMC9714228 DOI: 10.1186/s12966-022-01375-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 10/28/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Sedentary behavior is a modifiable risk factor for cardiometabolic health; however, the assessment of total sedentary time may not capture youth's highly active and interrupted activity patterns. This study examined the associations between sedentary activity patterns and cardiometabolic risk factors among Mexican youth, who have a disproportionate burden of metabolic diseases, using a repeated measure design out of a longitudinal data. METHODS 570 subjects in the Early Life Exposure in Mexico to ENvironmental Toxicants (ELEMENT) birth cohort, who were followed up to three-time points during adolescence, were included. Bout duration, and frequency and percentages of waking time spent in specific intensities of activity, were quantified using ActiGraph wGT3X-BT wrist accelerometers. Self-reported questionnaires were used to query the usual duration of different sedentary behaviors. Outcomes were fasting lipid profile, markers for glucose homeostasis, anthropometry, and blood pressure. Associations were modeled using linear mixed-effects models, and isotemporal substitution approach was additionally used to assess the effect of replacing objectively assessed sedentary activity with other activity intensities, adjusting for potential confounders. RESULTS Each hour of self-reported screen-based time was positively associated with diastolic blood pressure (mm Hg) [β = 0.30, 95% confidence interval (95% CI) = 0.10, 0.51], and an hour of other sedentary time was associated with log serum glucose (mg/dL) [β = 0.01, 95% CI = 0.004, 0.017]. Substitution models showed that replacing 5% of sedentary time with moderate to vigorous physical activity (MVPA) was associated with lower waist circumference (cm) [β = - 1.35, 95% CI = - 1.91, - 0.79] and log serum triglycerides (mg/dL) [β = - 0.11, 95% CI = - 0.18, - 0.03]. Substituting one uninterrupted sedentary bout with light activity was associated with lower insulin (μIU/mL) [β = - 0.06, 95% CI = - 0.10, - 0.02]. CONCLUSIONS Sedentary time was associated with cardiometabolic risk factors in Mexican youth in a context-specific manner. Replacing sedentary time with higher intensities was associated with improvements in some cardiometabolic markers.
Collapse
Affiliation(s)
- Abeer A. Aljahdali
- grid.412125.10000 0001 0619 1117Department of Clinical Nutrition, King Abdulaziz University, Jeddah, Saudi Arabia ,grid.214458.e0000000086837370Department of Nutritional Sciences, University of Michigan, Ann Arbor, MI USA
| | - Ana Baylin
- grid.214458.e0000000086837370Department of Nutritional Sciences, University of Michigan, Ann Arbor, MI USA ,grid.214458.e0000000086837370Department of Epidemiology, University of Michigan, Ann Arbor, MI USA
| | - Edward A. Ruiz-Narvaez
- grid.214458.e0000000086837370Department of Nutritional Sciences, University of Michigan, Ann Arbor, MI USA
| | - Hyungjin Myra Kim
- grid.214458.e0000000086837370Center for Computing, Analytics and Research, University of Michigan, Ann Arbor, MI USA
| | - Alejandra Cantoral
- grid.501731.10000 0004 0484 7567Department of Health, Iberoamerican University, Mexico City, Mexico
| | - Martha M. Tellez-Rojo
- grid.415771.10000 0004 1773 4764Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico
| | - Margaret Banker
- grid.214458.e0000000086837370Department of Biostatistics, University of Michigan, Ann Arbor, MI USA
| | - Karen E. Peterson
- grid.214458.e0000000086837370Department of Nutritional Sciences, University of Michigan, Ann Arbor, MI USA ,grid.214458.e0000000086837370Department of Environmental Health Sciences, University of Michigan, Ann Arbor, MI USA ,grid.214458.e0000000086837370University of Michigan, School of Public Health, Ann Arbor, MI 48109-2029 USA
| |
Collapse
|
4
|
Kuzik N, da Costa BGG, Hwang Y, Verswijveren SJJM, Rollo S, Tremblay MS, Bélanger S, Carson V, Davis M, Hornby S, Huang WY, Law B, Salmon J, Tomasone JR, Wachira LJ, Wijndaele K, Saunders TJ. School-related sedentary behaviours and indicators of health and well-being among children and youth: a systematic review. Int J Behav Nutr Phys Act 2022; 19:40. [PMID: 35382825 PMCID: PMC8979786 DOI: 10.1186/s12966-022-01258-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 02/08/2022] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The purpose of this systematic review was to examine the associations between school-related sedentary behaviours and indicators of health and well-being in children and youth (~ 5-18 years) attending school. METHODS This review was conducted to inform the development of School-Related Sedentary Behaviour Recommendations. Peer-reviewed, published, or in-press articles in English were included. Reviews, meta-analyses, and case studies were excluded; all other study designs were eligible. Further, articles had to meet the a priori study criteria for population, intervention, comparator (PROSPERO ID: CRD42021227600). Embase, MEDLINE® ALL, and PsycINFO were searched. Risk of bias was assessed for individual experimental studies using the Cochrane risk of bias assessment tool, and in observational studies based on the GRADE framework and in line with previous systematic reviews examining sedentary behaviours in children. Overall quality of evidence was assessed using the GRADE framework for each outcome category and study design. Results were synthesized narratively, grouped by study design and outcome category. Further, several high-level summaries were conducted to help interpret results. RESULTS Evidence was synthesized from 116 reports, including 1,385,038 participants and 1173 extracted associations. More school-related sedentary behaviour was favourably associated with nearly one-third of extracted associations for cognitive (33%) and social-emotional (32%) indicators (e.g., less anxiety), but unfavourably associated with other movement behaviours (e.g., less physical activity) (35%). Active lessons were favourable (72%), compared to more school-related sedentary behaviours, when examining associations for all health and well-being indicators. More homework was favourable across all health and well-being indicators in 4% of extracted associations for primary school children, and 25% of extracted associations for secondary school children. However, ≥2 h/day of homework appeared to be unfavourable for health and well-being. Limitations for synthesized studies included generally low quality of evidence and a lack of studies in South American, African, or low-middle income countries. CONCLUSIONS Findings can help inform policy makers, schools, and teachers, regarding the amount of homework assigned and the introduction of active lessons into the classroom to enhance health and well-being of children. More research is needed examining school-related sedentary behaviours and indicators of health and well-being in low- and middle-income countries.
Collapse
Affiliation(s)
- Nicholas Kuzik
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada.
- Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
| | - Bruno G G da Costa
- School of Physical & Health Education, Nipissing University, North Bay, Canada
| | - Yeongho Hwang
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Canada
| | | | - Scott Rollo
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
- Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Mark S Tremblay
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
- Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, Canada
- Department of Health Sciences, Carleton University, Ottawa, Canada
| | - Stacey Bélanger
- Département de Pédiatrie, Faculté de Médicine, Université de Montréal and CHU Sainte Justine, CIRENE (Centre Intégré du Réseau en Neurodéveloppement de L'Enfant), Montréal, Quebec, Canada
| | - Valerie Carson
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Canada
| | - Melanie Davis
- Physical and Health Education (PHE) Canada, Ottawa, Canada
| | - Susan Hornby
- Pan-Canadian Joint Consortium for School Health (JCSH), Summerside, Canada
| | - Wendy Yajun Huang
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China
| | - Barbi Law
- School of Physical & Health Education, Nipissing University, North Bay, Canada
| | - Jo Salmon
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Australia
| | - Jennifer R Tomasone
- School of Kinesiology and Health Studies, Queen's University, Kingston, Canada
| | - Lucy-Joy Wachira
- Physical Education, Exercise and Sports Science, Kenyatta University, Nairobi, Kenya
| | | | - Travis J Saunders
- Department of Applied Human Sciences, University of Prince Edward Island, Charlottetown, Canada
| |
Collapse
|
5
|
Compernolle S, De Bourdeaudhuij I, Cardon G, Van Dyck D. Sex-specific typologies of older adults' sedentary behaviors and their associations with health-related and socio-demographic factors: a latent profile analysis. BMC Geriatr 2021; 21:66. [PMID: 33468055 PMCID: PMC7816402 DOI: 10.1186/s12877-021-02011-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 01/05/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Some types of sedentary behaviors tend to cluster in individuals or groups of older adults. Insight into how these different types of sedentary behavior cluster is needed, as recent research suggests that not all types of sedentary behavior may have the same negative effects on physical and mental health. Therefore, the aim of this study was to identify sex-specific typologies of older adults' sedentary behavior, and to examine their associations with health-related and socio-demographic factors. METHODS Cross-sectional data were collected as part of the BEPAS Seniors, and the Busschaert study among 696 Flemish older adults (60+). Typologies of self-reported sedentary behavior were identified using latent profile analysis, and associations with health-related and sociodemographic factors were examined using analyses of variances. RESULTS Five distinct typologies were identified from seven sedentary behaviors (television time, computer time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in men, and three typologies were identified from six sedentary behaviors (television time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in women. Typologies that are characterized by high television time seem to be related to more negative health outcomes, like a higher BMI, less grip strength, and a lower physical and mental health-related quality-of-life. Typologies that are represented by high computer time and motorized transport seem to be related to more positive health outcomes, such as a lower body mass index, more grip strength and a higher physical and mental health-related quality-of-life. CONCLUSIONS Although causal direction between identified typologies and health outcomes remains uncertain, our results suggests that future interventions should better focus on specific types of sedentary behavior (e.g. television time), or patterns of sedentary behavior, rather than on total sedentary behavior.
Collapse
Affiliation(s)
- Sofie Compernolle
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, B-9000, Ghent, Belgium.
| | - Ilse De Bourdeaudhuij
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, B-9000, Ghent, Belgium
| | - Greet Cardon
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, B-9000, Ghent, Belgium
| | - Delfien Van Dyck
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, B-9000, Ghent, Belgium
| |
Collapse
|
6
|
Szczuka Z, Banik A, Abraham C, Kulis E, Luszczynska A. Associations between self-efficacy and sedentary behaviour: a meta-analysis. Psychol Health 2020; 36:271-289. [PMID: 32597242 DOI: 10.1080/08870446.2020.1784419] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Objective: The study sought to synthesize research on the relationship between time spent engaged in sedentary behaviours (SB) and self-efficacy. Analyses investigated whether such associations are moderated by age, conceptualization of self-efficacy, conceptualization of SB, and/or SB measurement.Design and Main Outcome Measures: The review was registered with PROSPERO (no. CRD42018086899). Studies including associations between self-efficacy and SB were identified through a systematic search of six databases. Inclusion criteria were met by k = 26 original studies.Results: A random effect meta-analysis showed that higher levels of self-efficacy were associated with lower levels of SB (r = -.158, 95% CI [-.220, -.094]). Moderator analyses indicated that associations between self-efficacy and SB may be similar in strength across age groups, the conceptualizations of self-efficacy or SB and SB measurements.Conclusion: The findings provide preliminary guidance for future interventions targeting reduction of SB, although more longitudinal research is needed to draw causal inferences.
Collapse
Affiliation(s)
- Zofia Szczuka
- Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Anna Banik
- Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Charles Abraham
- Melbourne Centre for Behaviour Change, Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Ewa Kulis
- Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Aleksandra Luszczynska
- Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland.,Trauma, Health, & Hazards Center, University of Colorado at Colorado Springs, Colorado Springs, CO, USA
| |
Collapse
|
7
|
Ferrari GLDM, Kovalskys I, Fisberg M, Gomez G, Rigotti A, Sanabria LYC, García MCY, Torres RGP, Herrera-Cuenca M, Zimberg IZ, Guajardo V, Pratt M, Previdelli AN, Scholes S, Celis-Morales CA, Solé D. Anthropometry, dietary intake, physical activity and sitting time patterns in adolescents aged 15-17 years: an international comparison in eight Latin American countries. BMC Pediatr 2020; 20:24. [PMID: 31964386 PMCID: PMC6971876 DOI: 10.1186/s12887-020-1920-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 01/08/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Although there is high prevalence of obesity and other cardiovascular risk factors among Latin American adolescents, there is limited evidence on dietary intake and physical activity (PA) patterns in this population. Therefore, we characterized anthropometry, dietary intake, PA and sitting time (ST) in adolescents aged 15-17 years from eight Latin American countries. METHODS Six hundred seventy-one adolescents (41.4% girls) from the Latin American Study of Nutrition and Health (ELANS) were included. Nutritional status was classified by four BMI (kg/m2) categories. Waist circumference (WC) was categorized as above or below thresholds. Dietary intake was assessed through two non-consecutive 24-h dietary recalls. PA and ST were measured using the International Physical Activity Questionnaire (IPAQ). We calculated overall and country-specific estimates by sex and tested for differences between boys and girls. RESULTS Differences in the prevalence of overweightness (15.1 and 21.6%) and obesity (8.5 and 6.5%) between boys and girls, respectively, were statistically insignificant (p = 0.059). Average energy intake was 2289.7 kcal/day (95% CI: 2231-2350) for boys and 1904.2 kcal/day (95% CI: 1840-1963) for girls (p < 0.001). In relation to macronutrient intake for boys and girls, respectively, the average intake (expressed as percentage of total energy) was 15.0 and 14.9% for protein; 55.4 and 54.9% for carbohydrates; 14.1 and 14.5% for added sugar; 29.5 and 30.1% for total fat; and 9.6 and 9.9% for saturated fat (p > 0.05 for all outcomes). There was no statistically significant difference in the prevalence of total energy (TE) saturated fat and added sugar (>10% of TE) between girls and boys (49.6% versus 44.8 and 81.7% versus 76.1%, respectively). Prevalence of physical inactivity was 19% in boys and 43.7% in girls (p < 0.001). Median levels of vigorous-intensity PA and total PA were significantly higher for boys than for girls (p < 0.05 for both outcomes); whereas levels of ST were similar (273.7 versus 220.0 min/day for boys and girls, respectively; p > 0.05). CONCLUSIONS These findings highlight the high prevalence of poor dietary intake and physical inactivity in adolescents from Latin American countries. Therefore, effective and sustainable strategies and programmes are needed that promote healthier diets, regular PA and reduce ST among Latin American adolescents. TRIAL REGISTRATION Clinical Trials NCT02226627. Retrospectively registered on August 27, 2014.
Collapse
Affiliation(s)
- Gerson Luis de Moraes Ferrari
- Centro de Investigación en Fisiología del Ejercicio - CIFE, Universidad Mayor, Santiago, Chile. .,Departamento de Pediatria da Universidade Federal de São Paulo, São Paulo, Brazil.
| | - Irina Kovalskys
- Commitee of Nutrition and Wellbeing, International Life Science Institute (ILSI-Argentina), Buenos Aires, Argentina
| | - Mauro Fisberg
- Departamento de Pediatria da Universidade Federal de São Paulo, São Paulo, Brazil.,Instituto Pensi, Fundação José Luiz Egydio Setubal, Hospital Infantil Sabará, São Paulo, Brazil
| | - Georgina Gomez
- Departamento de Bioquímica, Escuela de Medicina, Universidad de Costa Rica, San José, Costa Rica
| | - Attilio Rigotti
- Centro de Nutrición Molecular y Enfermedades Crónicas, Departamento de Nutrición, Diabetes y Metabolismo, Escuela de Medicina, Pontificia Universidad Católica, Santiago, Chile
| | | | | | | | - Marianella Herrera-Cuenca
- Centro de Estudios del Desarrollo, Universidad Central de Venezuela (CENDES-UCV)/Fundación Bengoa, Caracas, Venezuela
| | - Ioná Zalcman Zimberg
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Viviana Guajardo
- Commitee of Nutrition and Wellbeing, International Life Science Institute (ILSI-Argentina), Buenos Aires, Argentina
| | - Michael Pratt
- Institute for Public Health, University of California San Diego, La Jolla, CA, USA
| | | | - Shaun Scholes
- Institute of Epidemiology and Health Care, University College London, London, UK
| | - Carlos A Celis-Morales
- Centro de Investigación en Fisiología del Ejercicio - CIFE, Universidad Mayor, Santiago, Chile.,Grupo de Estudio en Educación, Actividad Física y Salud (GEEAFyS), Universidad Católica del Maule, Talca, Chile
| | - Dirceu Solé
- Departamento de Pediatria da Universidade Federal de São Paulo, São Paulo, Brazil
| | | |
Collapse
|