7 results on '"Luopa, J."'
Search Results
2. Relationships Between Outdoor Time, Physical Activity, Sedentary Time, and Body Mass Index in Children: A 12-Country Study
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Larouche, R, Mire, Ef, Belanger, K, Barreira, Tv, Chaput, Jp, Fogelholm, M, Hu, G, Lambert, Ev, Maher, C, Maia, J, Olds, T, Onywera, V, Sarmiento, Ol, Standage, M, Tudor-Locke, C, Katzmarzyk, Pt, Tremblay, Ms, Church, Ts, Lambert, Dg, Barreira, T, Broyles, S, Butitta, B, Champagne, C, Cocreham, S, Dentro, K, Drazba, K, Harrington, D, Johnson, W, Milauskas, D, Mire, E, Tohme, A, Rodarte, R, Amoroso, B, Luopa, J, Neiberg, R, Rushing, S, Lewis, L, Ferrar, K, Georgiadis, E, Stanley, R, Matsudo, Vkr, Matsudo, S, Araujo, T, de Oliveira LC, Rezende, L, Fabiano, L, Bezerra, D, Ferrari, G, Belanger, P, Borghese, M, Boyer, C, Leblanc, A, Francis, C, Leduc, G, Zhao, P, Diao, Cm, Li, W, Li WQ Liu, Liu, Eq, GS Liu HY, Ma, J, Qiao, Yj, Tian, Hg, Wang, Y, Zhang, T, Zhang, Fx, Sarmiento, O, Acosta, J, Alvira, Y, Diaz, Mp, Gamez, R, Garcia, Mp, Gomez, Lg, Gonzalez, L, Gonzalez, S, Grijalba, C, Gutierrez, L, Leal, D, Lemus, N, Mahecha, E, Mahecha, Mp, Mahecha, R, Ramirez, A, Rios, P, Suarez, A, Triana, C, Hovi, E, Kivela, J, Rasanen, S, Sanna, Roito, Taru, Saloheimo, Valta, L, Kurpad, A, Kuriyan, R, Lokesh, Dp, D'Almeida, Ms, Mattilda, Ra, Correa, L, Vijay, D, Wachira, Lj, Muthuri, S, Borges, Ad, Cachada, Sos, de Chaves RN, Gomes, Tnqf, Pereira, Sis, Santos, Dmde, dos Santos FK, da Silva PGR, de Souza MC, Lambert, V, April, M, Uys, M, Naidoo, N, Synyanya, N, Carstens, M, Cumming, S, Drenowatz, C, Emm, L, Gillison, F, Zakrzewski, J, Braud, A, Donatto, S, Lemon, C, Jackson, A, Pearson, A, Pennington, G, Ragus, D, Roubion, R, Schuna, J, Wiltz, D, Batterham, A, Kerr, J, Pratt, M, Pietrobelli, A, Larouche, Richard, Barreira, Tiago V., Hu, Gang, Maia, José, Sarmiento, Olga L., Katzmarzyk, Peter T., Mire, Emily F., Chaput, Jean Philippe, Lambert, Estelle V., Olds, Tim, Standage, Martyn, Belanger, Kevin, Fogelholm, Mikael, Maher, Carol, Onywera, Vincent, Tudor-Locke, Catrine, Tremblay, Mark S., and ISCOLE Research Group
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Male ,medicine.medical_specialty ,Pediatric Obesity ,Time Factors ,Sports medicine ,Cross-sectional study ,health promotion ,RJ101 ,Health Behavior ,Physical activity ,Physical Therapy, Sports Therapy and Rehabilitation ,Standard score ,RA773 ,Body Mass Index ,RC1200 ,03 medical and health sciences ,0302 clinical medicine ,Residence Characteristics ,Surveys and Questionnaires ,Accelerometry ,medicine ,Humans ,Orthopedics and Sports Medicine ,030212 general & internal medicine ,Child ,2. Zero hunger ,Sedentary time ,exercise ,030229 sport sciences ,medicine.disease ,motor behavior ,Obesity ,Country study ,Cross-Sectional Studies ,Social Class ,Pediatrics, Perinatology and Child Health ,epidemiology ,Female ,Sedentary Behavior ,Psychology ,Body mass index ,Demography - Abstract
Purpose: This study investigated the relationship between outdoor time and physical activity (PA), sedentary time (SED), and body mass index z scores among children from 12 lower-middle-income, upper-middle-income, and high-income countries. Methods: In total, 6478 children (54.4% girls) aged 9–11 years participated. Outdoor time was self-reported, PA and SED were assessed with ActiGraph GT3X+ accelerometers, and height and weight were measured. Data on parental education, neighborhood collective efficacy, and accessibility to neighborhood recreation facilities were collected from parent questionnaires. Country latitude and climate statistics were collected through national weather data sources. Gender-stratified multilevel models with parental education, climate, and neighborhood variables as covariates were used to examine the relationship between outdoor time, accelerometry measures, and body mass index z scores. Results: Each additional hour per day spent outdoors was associated with higher moderate- to vigorous-intensity PA (boys: +2.8 min/d; girls: +1.4 min/d), higher light-intensity PA (boys: +2.0 min/d; girls: +2.3 min/d), and lower SED (boys: −6.3 min/d; girls: −5.1 min/d). Effect sizes were generally weaker in lower-middle-income countries. Outdoor time was not associated with body mass index z scores. Conclusions: Outdoor time was associated with higher PA and lower SED independent of climate, parental education, and neighborhood variables, but effect sizes were small. However, more research is needed in low- and middle-income countries.
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- 2019
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3. Relationships between Parental Education and Overweight with Childhood Overweight and Physical Activity in 9-11 Year Old Children: Results from a 12-Country Study
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Muthuri, S. K., Onywera, V. O., Tremblay, M. S., Broyles, S. T., Chaput, J. P., Fogelholm, M., Hu, G., Kuriyan, R., Kurpad, A., Lambert, E. V., Maher, C., Maia, J., Matsudo, V., Olds, T., Sarmiento, O. L., Standage, M., Tudor Locke, C., Zhao, P., Church, T. S., Katzmarzyk, P. T., Lambert, D. G., Barreira, T., Broyles, S., Butitta, B., Champagne, C., Cocreham, S., Denstel, K. D., Drazba, K., Harrington, D., Johnson, W., Milauskas, D., Mire, E., Tohme, A., Rodarte, R., Amoroso, B., Luopa, J., Neiberg, R., Rushing, S., Lewis, L., Ferrar, K., Georgiadis, E., Stanley, R., Matsudo, V. K. R., Matsudo, S., Araujo, T., De Oliveira, L. C., Fabiano, L., Bezerra, D., Ferrari, G., Bélanger, P., Borghese, M., Boyer, C., Leblanc, A., Francis, C., Leduc, G., Diao, C., Li, W., Liu, E., Liu, G., Liu, H., Ma, J., Qiao, Y., Tian, H., Wang, Y., Zhang, T., Zhang, F., Sarmiento, O., Acosta, J., Alvira, Y., Diaz, M. P., Gamez, R., Garcia, M. P., Gómez, L. G., Gonzalez, L., Gonzalez, S., Grijalba, C., Gutierrez, L., Leal, D., Lemus, N., Mahecha, E., Mahecha, M. P., Mahecha, R., Ramirez, A., Rios, P., Suarez, A., Triana, C., Hovi, E., Kivelä, J., Räsänen, S., Roito, S., Saloheimo, T., Valta, L., Lokesh, D. P., D'Almeida, M. S., Mattilda R, A., Correa, L., Vijay, D., Wachira, L. J., Muthuri, S., Da Silva Borges, A., Sá Cachada, S. O., De Chaves, R. N., Gomes, T. N. Q. F., Pereira, S. I. S., De Vilhena E. Santos, D. M., Dos Santos, F. K., Da Silva, P. G. R., De Souza, M. C., Lambert, V., April, M., Uys, M., Naidoo, N., Synyanya, N., Carstens, M., Cumming, S., Drenowatz, C., Emm, L., Gillison, F., Zakrzewski, J., Braud, A., Donatto, S., Lemon, C., Jackson, A., Pearson, A., Pennington, G., Ragus, D., Roubion, R., Schuna, J., Wiltz, J. r., Batterham, A., Kerr, J., Pratt, M., Pietrobelli, Angelo, Muthuri, Stella K, Onywera, Vincent O, Tremblay, Mark S, Broyles, Stephanie T, Chaput, Jean-Philippe, Fogelholm, Mikael, Hu, Gang, Kuriyan, Rebecca, Kurpad, Anura, Lambert, Estelle V, Maher, Carol, Maia, José, Matsudo, Victor, Olds, Timothy, Sarmiento, Olga L, Standage, Martyn, Tudor-Locke, Catrine, Zhao, Pei, Church, Timothy S, Katzmarzyk, Peter T, MRC/UCT RU for Exercise and Sport Medicine, Faculty of Health Sciences, Department of Food and Nutrition, and Nutrition Science
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Gerontology ,Male ,Parents ,Pediatric Obesity ,Physiology ,Economics ,Physical fitness ,Economics of Training and Education ,SCHOOL-AGED CHILDREN, BODY-MASS INDEX, OBESITY ,Social Sciences ,lcsh:Medicine ,physical activity ,DETERMINANTS ,RA773 ,Overweight ,Pediatrics ,Families ,Fathers ,0302 clinical medicine ,Sociology ,Risk Factors ,Medicine and Health Sciences ,Public and Occupational Health ,030212 general & internal medicine ,Child ,lcsh:Science ,Children ,2. Zero hunger ,Human Capital ,Family Characteristics ,Multidisciplinary ,Child Health ,3142 Public health care science, environmental and occupational health ,FAMILY ,TIME ,3. Good health ,Multidisciplinary Sciences ,YOUTH ,Physiological Parameters ,Population Surveillance ,educational attainment ,OBESITY ,child health ,Educational Status ,ADIPOSITY ,Female ,SCHOOL-AGED CHILDREN ,medicine.symptom ,childhood obesity ,TRANSITION ,BEHAVIOR ,Research Article ,Childhood Obesity ,Mothers ,030209 endocrinology & metabolism ,fathers ,Childhood obesity ,Education ,03 medical and health sciences ,children ,medicine ,Humans ,Body Weights and Measures ,economics of training and education ,Socioeconomic status ,Exercise ,Life Style ,Educational Attainment ,business.industry ,Body Weight ,lcsh:R ,Biology and Life Sciences ,Odds ratio ,Physical Activity ,medicine.disease ,Obesity ,Educational attainment ,BODY-MASS INDEX ,mothers ,Age Groups ,People and Places ,Population Groupings ,lcsh:Q ,business ,Body mass index ,Demography - Abstract
Background: Globally, the high prevalence of overweight and low levels of physical activity among children has serious implications for morbidity and premature mortality in adulthood. Various parental factors are associated with childhood overweight and physical activity. The objective of this paper was to investigate relationships between parental education or overweight, and (i) child overweight, (ii) child physical activity, and (iii) explore household coexistence of overweight, in a large international sample. Methods: Data were collected from 4752 children (9–11 years) as part of the International Study of Childhood Obesity, Lifestyle and the Environment in 12 countries around the world. Physical activity of participating children was assessed by accelerometry, and body weight directly measured. Questionnaires were used to collect parents' education level, weight, and height. Results: Maternal and paternal overweight were positively associated with child overweight. Higher household coexistence of parent-child overweight was observed among overweight children compared to the total sample. There was a positive relationship between maternal education and child overweight in Colombia 1.90 (1.23–2.94) [odds ratio (confidence interval)] and Kenya 4.80 (2.21–10.43), and a negative relationship between paternal education and child overweight in Brazil 0.55 (0.33–0.92) and the USA 0.54 (0.33–0.88). Maternal education was negatively associated with children meeting physical activity guidelines in Colombia 0.53 (0.33–0.85), Kenya 0.35 (0.19–0.63), and Portugal 0.54 (0.31–0.96). Conclusions: Results are aligned with previous studies showing positive associations between parental and child overweight in all countries, and positive relationships between parental education and child overweight or negative associations between parental education and child physical activity in lower economic status countries. Relationships between maternal and paternal education and child weight status and physical activity appear to be related to the developmental stage of different countries. Given these varied relationships, it is crucial to further explore familial factors when investigating child overweight and physical activity. Refereed/Peer-reviewed
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- 2016
4. Neural networks as `software sensors' in enzyme production
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Linko, Susan, primary, Luopa, J., additional, and Zhu, Y.-H., additional
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- 1997
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5. Direct Digital Control of a Nuclear Power Reactor.
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Luopa, J. A. and Anderton, R. D.
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- 1970
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6. Neural networks as 'software sensors' in enzyme production
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Linko, S., Luopa, J., and Zhu, Y.-H.
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- 1997
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7. Improving wear time compliance with a 24-hour waist-worn accelerometer protocol in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE)
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Tudor Locke, C., Barreira, T. V., Schuna, J. M., Mire, E. F., Chaput, J. P., Fogelholm, M., Hu, G., Kuriyan, R., Kurpad, A., Lambert, E. V., Maher, C., Maia, J., Matsudo, V., Olds, T., Onywera, V., Sarmiento, O. L., Standage, M., Tremblay, M. S., Zhao, P., Church, T. S., Katzmarzyk, P. T., Lambert, D. G., Barreira, T., Broyles, S., Butitta, B., Champagne, C., Cocreham, S., Dentro, K., Drazba, K., Harrington, D., Johnson, W., Milauskas, D., Mire, E., Tohme, A., Rodarte, R., Amoroso, B., Luopa, J., Neiberg, R., Rushing, S., Lewis, L., Ferrar, K., Physio, B., Georgiadis, E., Stanley, R., Matsudo, V. K. R., Matsudo, S., Araujo, T., de Oliveira, L. C., Rezende, L., Fabiano, L., Bezerra, D., Ferrari, G., Bélanger, P., Borghese, M., Boyer, C., Leblanc, A., Francis, C., Leduc, G., Diao, C., Li, W., Liu, E., Liu, G., Liu, H., Ma, J., Qiao, Y., Tian, H., Wang, Y., Zhang, T., Zhang, F., Sarmiento, O., Acosta, J., Alvira, Y., Diaz, M. P., Gamez, R., Garcia, M. P., Gómez, L. G., Gonzalez, L., Gonzalez, S., Grijalba, C., Gutierrez, L., Leal, D., Lemus, N., Mahecha, E., Mahecha, M. P., Mahecha, R., Ramirez, A., Rios, P., Suarez, A., Triana, C., Hovi, E., Kivelä, J., Räsänen, S., Roito, S., Saloheimo, T., Valta, L., Lokesh, D. P., D'Almeida, M. S., Annie Mattilda, R., Correa, L., Vijay, D., Wachira, L. J., Muthuri, S., da Silva Borges, A., Oliveira Sá Cachada, S., de Chaves, R. N., Gomes, T. N. Q. F., Pereira, S. I. S., de Vilhena e. Santos, D. M., dos Santos, F. K., Rodrigues da Silva, P. G., de Souza, M. C., Lambert, V., April, M., Uys, M., Naidoo, N., Synyanya, N., Carstens, M., Donatto, S., Lemon, C., Jackson, A., Pearson, A., Pennington, G., Ragus, D., Roubion, R., Schuna, J., Wiltz, D., Batterham, A., Kerr, J., Pratt, M., Pietrobelli, Angelo, ISCOLE Research Group, Tudor-Locke, Catrine, Barreira, Tiago V, Schuna, John M, Mire, Emily F, Maher, Carol A, Olds, Timothy S, Katzmarzyk, Peter T, University of Helsinki, Department of Food and Nutrition, Nutrition Science, MRC/UCT RU for Exercise and Sport Medicine, and Faculty of Health Sciences
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Male ,Gerontology ,Pediatric Obesity ,Time Factors ,Accelerometry, Exercise, Measurement, Physical activity, Sedentary time, Pediatrics ,Medicine (miscellaneous) ,RA773 ,Accelerometer ,Pediatrics ,0302 clinical medicine ,Clinical Protocols ,Surveys and Questionnaires ,Accelerometry ,030212 general & internal medicine ,315 Sport and fitness sciences ,Child ,Measurement ,Nutrition and Dietetics ,ALGORITHMS ,Nutrition Surveys ,16. Peace & justice ,3. Good health ,Sedentary time ,Female ,medicine.medical_specialty ,Waist ,National Health and Nutrition Examination Survey ,Physical activity ,Physical Therapy, Sports Therapy and Rehabilitation ,Motor Activity ,Childhood obesity ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,medicine ,Humans ,WRIST ,Accelerometer data ,Wakefulness ,Life Style ,Exercise ,Protocol (science) ,HIP ,business.industry ,Methodology ,030229 sport sciences ,medicine.disease ,United States ,PHYSICAL-ACTIVITY ,Physical therapy ,Sleep ,business - Abstract
Background We compared 24-hour waist-worn accelerometer wear time characteristics of 9–11 year old children in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE) to similarly aged U.S. children providing waking-hours waist-worn accelerometer data in the 2003–2006 National Health and Nutrition Examination Survey (NHANES). Methods Valid cases were defined as having ≥4 days with ≥10 hours of waking wear time in a 24-hour period, including one weekend day. Previously published algorithms for extracting total sleep episode time from 24-hour accelerometer data and for identifying wear time (in both the 24-hour and waking-hours protocols) were applied. The number of valid days obtained and a ratio (percent) of valid cases to the number of participants originally wearing an accelerometer were computed for both ISCOLE and NHANES. Given the two surveys’ discrepant sampling designs, wear time (minutes/day, hours/day) from U.S. ISCOLE was compared to NHANES using a meta-analytic approach. Wear time for the 11 additional countries participating in ISCOLE were graphically compared with NHANES. Results 491 U.S. ISCOLE children (9.92±0.03 years of age [M±SE]) and 586 NHANES children (10.43 ± 0.04 years of age) were deemed valid cases. The ratio of valid cases to the number of participants originally wearing an accelerometer was 76.7% in U.S. ISCOLE and 62.6% in NHANES. Wear time averaged 1357.0 ± 4.2 minutes per 24-hour day in ISCOLE. Waking wear time was 884.4 ± 2.2 minutes/day for U.S. ISCOLE children and 822.6 ± 4.3 minutes/day in NHANES children (difference = 61.8 minutes/day, p
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