Limin Yang1,2, Masami Narita1, Kiwako Yamamoto-Hanada1,2, Naoko Sakamoto3, Hirohisa Saito1,2, Yukihiro Ohya1,2. 1. Division of Allergy, Department of Medical Subspecialties, National Center for Child Health and Development, Tokyo, Japan. 2. Medical Support Center for Japan Environment and Children's Study (JECS), National Center for Child Health and Development, Tokyo, Japan. 3. Department of Epidemiology Research, Toho University, Tokyo, Japan.
Abstract
BACKGROUND: Exploring patterns of childhood wheeze may help to clarify the etiology and prognosis of respiratory diseases. The purpose of this study was to classify phenotypes of wheezing in children up to 9 years of age in Japan and to evaluate the individual and environmental risk factors for these phenotypes. METHODS: Wheeze was evaluated at approximately 1-year intervals based on the mothers' recollection of their child's wheezing or whistling in the chest during the preceding 12 months. The children were aged 1-9 years. In total, 1116 children who had at least five measures of wheezing at all nine time points were used for identifying trajectories. Trajectories were identified with group-based trajectory analysis. A multinomial logit model was built to evaluate the relationships between phenotypes and risk factors. RESULTS: Five typical trajectories were identified. The probability of group membership was 43.7%, 32.2%, 6.2%, 8.6%, and 9.2% for the never/infrequent wheeze, transient early wheeze, school-age-onset wheeze, early-childhood-onset remitting wheeze, and persistent wheeze trajectories, respectively. Infant tobacco exposure increased the odds of membership in the transient early wheeze trajectory compared to the never/infrequent wheeze trajectory. CONCLUSIONS: Using the group-based trajectory modeling approach, we identified five trajectories of childhood wheeze development in a Japanese population. The trajectories shown here are based on formal statistical modeling rather than on subjective classification, and an assessment of its precision suggested that the model has high assignment accuracy.
BACKGROUND: Exploring patterns of childhood wheeze may help to clarify the etiology and prognosis of respiratory diseases. The purpose of this study was to classify phenotypes of wheezing in children up to 9 years of age in Japan and to evaluate the individual and environmental risk factors for these phenotypes. METHODS: Wheeze was evaluated at approximately 1-year intervals based on the mothers' recollection of their child's wheezing or whistling in the chest during the preceding 12 months. The children were aged 1-9 years. In total, 1116 children who had at least five measures of wheezing at all nine time points were used for identifying trajectories. Trajectories were identified with group-based trajectory analysis. A multinomial logit model was built to evaluate the relationships between phenotypes and risk factors. RESULTS: Five typical trajectories were identified. The probability of group membership was 43.7%, 32.2%, 6.2%, 8.6%, and 9.2% for the never/infrequent wheeze, transient early wheeze, school-age-onset wheeze, early-childhood-onset remitting wheeze, and persistent wheeze trajectories, respectively. Infanttobacco exposure increased the odds of membership in the transient early wheeze trajectory compared to the never/infrequent wheeze trajectory. CONCLUSIONS: Using the group-based trajectory modeling approach, we identified five trajectories of childhood wheeze development in a Japanese population. The trajectories shown here are based on formal statistical modeling rather than on subjective classification, and an assessment of its precision suggested that the model has high assignment accuracy.
Authors: Matthew C Altman; Agustin Calatroni; Sima Ramratnam; Daniel J Jackson; Scott Presnell; Mario G Rosasco; Peter J Gergen; Leonard B Bacharier; George T O'Connor; Megan T Sandel; Meyer Kattan; Robert A Wood; Cynthia M Visness; James E Gern Journal: J Allergy Clin Immunol Date: 2021-03-10 Impact factor: 10.793
Authors: Izzuddin M Aris; Joanne E Sordillo; Sheryl L Rifas-Shiman; Jessica G Young; Diane R Gold; Carlos A Camargo; Marie-France Hivert; Emily Oken Journal: Paediatr Perinat Epidemiol Date: 2021-03-22 Impact factor: 3.103
Authors: Kiwako Yamamoto-Hanada; Magnus P Borres; Magnus K Åberg; Limin Yang; Tatsuki Fukuie; Masami Narita; Hirohisa Saito; Yukihiro Ohya Journal: World Allergy Organ J Date: 2020-02-25 Impact factor: 4.084