29
|
Pereira S, Katzmarzyk PT, Gomes TN, Souza M, Chaves RN, Santos FK, Santos D, Bustamante A, Barreira TV, Hedeker D, Maia JA. Resemblance in physical activity levels: The Portuguese sibling study on growth, fitness, lifestyle, and health. Am J Hum Biol 2017; 30. [PMID: 28925585 DOI: 10.1002/ajhb.23061] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 07/28/2017] [Accepted: 08/27/2017] [Indexed: 11/07/2022] Open
Abstract
OBJECTIVES To investigate the relationships of biological, behavioral, familial, and environmental characteristics with siblings´ physical activity (PA) levels as well as the intrapair resemblance in PA. METHODS The sample comprises 834 (390 females) biological siblings [brother-brother (BB), sister-sister (SS), brother-sister (BS)] aged 9 to 20 years. Total PA index (TPAI) was estimated by questionnaire. Information on potential behavioral, familial, and environmental correlates was obtained by self-report; body mass index (BMI), biological maturation, and physical fitness were measured. Multilevel models were used to analyze siblings´ clustered data, and sibling resemblance was estimated with the intraclass correlation (ρ). RESULTS On average, younger sibs, those more physically fit, and those with more parental support had greater TPAI. Further, BB pairs had higher TPAI levels than SS or BS pairs, but also had greater within-pair variance. When adjusted for all covariates, SS pairs demonstrated greater resemblance in TPAI (ρ = 0.53, 95%CI = 0.38-0.68) than BS (ρ = 0.26, 95%CI = 0.14-0.43) or BB pairs (ρ = 0.18, 95%CI = 0.06-0.44). CONCLUSIONS Age, physical fitness, and parental support were the best predictors of TPAI levels. A moderate level of resemblance in TPAI was observed in SS pairs, while lower resemblance was found for BS and BB pairs. These findings may be due to differences in the roles of shared genetic factors, familial, and environmental characteristics across different sibling types.
Collapse
|
43
|
Ade PAR, Aghanim N, Ahmed Z, Aikin RW, Alexander KD, Arnaud M, Aumont J, Baccigalupi C, Banday AJ, Barkats D, Barreiro RB, Bartlett JG, Bartolo N, Battaner E, Benabed K, Benoît A, Benoit-Lévy A, Benton SJ, Bernard JP, Bersanelli M, Bielewicz P, Bischoff CA, Bock JJ, Bonaldi A, Bonavera L, Bond JR, Borrill J, Bouchet FR, Boulanger F, Brevik JA, Bucher M, Buder I, Bullock E, Burigana C, Butler RC, Buza V, Calabrese E, Cardoso JF, Catalano A, Challinor A, Chary RR, Chiang HC, Christensen PR, Colombo LPL, Combet C, Connors J, Couchot F, Coulais A, Crill BP, Curto A, Cuttaia F, Danese L, Davies RD, Davis RJ, de Bernardis P, de Rosa A, de Zotti G, Delabrouille J, Delouis JM, Désert FX, Dickinson C, Diego JM, Dole H, Donzelli S, Doré O, Douspis M, Dowell CD, Duband L, Ducout A, Dunkley J, Dupac X, Dvorkin C, Efstathiou G, Elsner F, Enßlin TA, Eriksen HK, Falgarone E, Filippini JP, Finelli F, Fliescher S, Forni O, Frailis M, Fraisse AA, Franceschi E, Frejsel A, Galeotta S, Galli S, Ganga K, Ghosh T, Giard M, Gjerløw E, Golwala SR, González-Nuevo J, Górski KM, Gratton S, Gregorio A, Gruppuso A, Gudmundsson JE, Halpern M, Hansen FK, Hanson D, Harrison DL, Hasselfield M, Helou G, Henrot-Versillé S, Herranz D, Hildebrandt SR, Hilton GC, Hivon E, Hobson M, Holmes WA, Hovest W, Hristov VV, Huffenberger KM, Hui H, Hurier G, Irwin KD, Jaffe AH, Jaffe TR, Jewell J, Jones WC, Juvela M, Karakci A, Karkare KS, Kaufman JP, Keating BG, Kefeli S, Keihänen E, Kernasovskiy SA, Keskitalo R, Kisner TS, Kneissl R, Knoche J, Knox L, Kovac JM, Krachmalnicoff N, Kunz M, Kuo CL, Kurki-Suonio H, Lagache G, Lähteenmäki A, Lamarre JM, Lasenby A, Lattanzi M, Lawrence CR, Leitch EM, Leonardi R, Levrier F, Lewis A, Liguori M, Lilje PB, Linden-Vørnle M, López-Caniego M, Lubin PM, Lueker M, Macías-Pérez JF, Maffei B, Maino D, Mandolesi N, Mangilli A, Maris M, Martin PG, Martínez-González E, Masi S, Mason P, Matarrese S, Megerian KG, Meinhold PR, Melchiorri A, Mendes L, Mennella A, Migliaccio M, Mitra S, Miville-Deschênes MA, Moneti A, Montier L, Morgante G, Mortlock D, Moss A, Munshi D, Murphy JA, Naselsky P, Nati F, Natoli P, Netterfield CB, Nguyen HT, Nørgaard-Nielsen HU, Noviello F, Novikov D, Novikov I, O'Brient R, Ogburn RW, Orlando A, Pagano L, Pajot F, Paladini R, Paoletti D, Partridge B, Pasian F, Patanchon G, Pearson TJ, Perdereau O, Perotto L, Pettorino V, Piacentini F, Piat M, Pietrobon D, Plaszczynski S, Pointecouteau E, Polenta G, Ponthieu N, Pratt GW, Prunet S, Pryke C, Puget JL, Rachen JP, Reach WT, Rebolo R, Reinecke M, Remazeilles M, Renault C, Renzi A, Richter S, Ristorcelli I, Rocha G, Rossetti M, Roudier G, Rowan-Robinson M, Rubiño-Martín JA, Rusholme B, Sandri M, Santos D, Savelainen M, Savini G, Schwarz R, Scott D, Seiffert MD, Sheehy CD, Spencer LD, Staniszewski ZK, Stolyarov V, Sudiwala R, Sunyaev R, Sutton D, Suur-Uski AS, Sygnet JF, Tauber JA, Teply GP, Terenzi L, Thompson KL, Toffolatti L, Tolan JE, Tomasi M, Tristram M, Tucci M, Turner AD, Valenziano L, Valiviita J, Van Tent B, Vibert L, Vielva P, Vieregg AG, Villa F, Wade LA, Wandelt BD, Watson R, Weber AC, Wehus IK, White M, White SDM, Willmert J, Wong CL, Yoon KW, Yvon D, Zacchei A, Zonca A. Joint analysis of BICEP2/keck array and Planck Data. PHYSICAL REVIEW LETTERS 2015; 114:101301. [PMID: 25815919 DOI: 10.1103/physrevlett.114.101301] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2015] [Indexed: 06/04/2023]
Abstract
We report the results of a joint analysis of data from BICEP2/Keck Array and Planck. BICEP2 and Keck Array have observed the same approximately 400 deg^{2} patch of sky centered on RA 0 h, Dec. -57.5°. The combined maps reach a depth of 57 nK deg in Stokes Q and U in a band centered at 150 GHz. Planck has observed the full sky in polarization at seven frequencies from 30 to 353 GHz, but much less deeply in any given region (1.2 μK deg in Q and U at 143 GHz). We detect 150×353 cross-correlation in B modes at high significance. We fit the single- and cross-frequency power spectra at frequencies ≥150 GHz to a lensed-ΛCDM model that includes dust and a possible contribution from inflationary gravitational waves (as parametrized by the tensor-to-scalar ratio r), using a prior on the frequency spectral behavior of polarized dust emission from previous Planck analysis of other regions of the sky. We find strong evidence for dust and no statistically significant evidence for tensor modes. We probe various model variations and extensions, including adding a synchrotron component in combination with lower frequency data, and find that these make little difference to the r constraint. Finally, we present an alternative analysis which is similar to a map-based cleaning of the dust contribution, and show that this gives similar constraints. The final result is expressed as a likelihood curve for r, and yields an upper limit r_{0.05}<0.12 at 95% confidence. Marginalizing over dust and r, lensing B modes are detected at 7.0σ significance.
Collapse
|