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Seasonal weight variation patterns in seven countries located in northern and southern hemispheres

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Standard

Seasonal weight variation patterns in seven countries located in northern and southern hemispheres. / Mehrang, S.; Helander, E.; Chieh, A.; Korhonen, I.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016. s. 2475-2478.

Tutkimustuotosvertaisarvioitu

Harvard

Mehrang, S, Helander, E, Chieh, A & Korhonen, I 2016, Seasonal weight variation patterns in seven countries located in northern and southern hemispheres. julkaisussa 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, Sivut 2475-2478, ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, 1/01/00. https://doi.org/10.1109/EMBC.2016.7591232

APA

Mehrang, S., Helander, E., Chieh, A., & Korhonen, I. (2016). Seasonal weight variation patterns in seven countries located in northern and southern hemispheres. teoksessa 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Sivut 2475-2478). IEEE. https://doi.org/10.1109/EMBC.2016.7591232

Vancouver

Mehrang S, Helander E, Chieh A, Korhonen I. Seasonal weight variation patterns in seven countries located in northern and southern hemispheres. julkaisussa 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE. 2016. s. 2475-2478 https://doi.org/10.1109/EMBC.2016.7591232

Author

Mehrang, S. ; Helander, E. ; Chieh, A. ; Korhonen, I. / Seasonal weight variation patterns in seven countries located in northern and southern hemispheres. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016. Sivut 2475-2478

Bibtex - Lataa

@inproceedings{3f99e65077da4ac896ce46897b44d4fc,
title = "Seasonal weight variation patterns in seven countries located in northern and southern hemispheres",
abstract = "The digital revolution of information and technology in late 20th century has led to emergence of devices that help people monitor their weight in a long-term manner. Investigation of population-level variations of body mass using smart connected weight scales enabled the health coaches acquire deeper insights about the models of people's behavior as a function of time. Typically, body mass varies when the seasons change. That is, during the warmer seasons people's body mass tend to decrease while in colder seasons it usually moves up. In this paper we study the seasonal variations of body mass in seven countries by utilization of linear regression. Deviation of monthly weight values from the starting point of astronomical years (beginning of spring) were modeled by fitting orthogonal polynomials in each country. The distinction of weight variations in southern and northern hemispheres were then investigated. The studied population involves 6429 anonymous weight scale users from:(1) Australia, (2) Brazil, (3) France, (4) Germany, (5) Great Britain, (6) Japan, and (7) United States of America. The results suggest that there are statistically significant differences between the models of weight variation in southern and northern hemispheres. In both northern and southern hemispheres the lowest weight values were observed in the summer. However, the highest weight values were noticed in the winter and in the spring for northern and southern hemispheres, respectively.",
keywords = "health care, weighing, Australia, Brazil, France, Germany, Great Britain, Japan, United States of America, anonymous weight scale, cold season, digital information revolution, linear regression, northern hemisphere, orthogonal polynomial, people behavior, seasonal body mass variation, seasonal weight variation pattern, southern hemisphere, spring season, summer season, weight monitoring, weight scales, winter season, Linear regression, Sociology, Springs, Time series analysis, Weight measurement",
author = "S. Mehrang and E. Helander and A. Chieh and I. Korhonen",
note = "INT=sgn,{"}Mehrang, Saeed{"}",
year = "2016",
month = "8",
day = "1",
doi = "10.1109/EMBC.2016.7591232",
language = "English",
publisher = "IEEE",
pages = "2475--2478",
booktitle = "2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Seasonal weight variation patterns in seven countries located in northern and southern hemispheres

AU - Mehrang, S.

AU - Helander, E.

AU - Chieh, A.

AU - Korhonen, I.

N1 - INT=sgn,"Mehrang, Saeed"

PY - 2016/8/1

Y1 - 2016/8/1

N2 - The digital revolution of information and technology in late 20th century has led to emergence of devices that help people monitor their weight in a long-term manner. Investigation of population-level variations of body mass using smart connected weight scales enabled the health coaches acquire deeper insights about the models of people's behavior as a function of time. Typically, body mass varies when the seasons change. That is, during the warmer seasons people's body mass tend to decrease while in colder seasons it usually moves up. In this paper we study the seasonal variations of body mass in seven countries by utilization of linear regression. Deviation of monthly weight values from the starting point of astronomical years (beginning of spring) were modeled by fitting orthogonal polynomials in each country. The distinction of weight variations in southern and northern hemispheres were then investigated. The studied population involves 6429 anonymous weight scale users from:(1) Australia, (2) Brazil, (3) France, (4) Germany, (5) Great Britain, (6) Japan, and (7) United States of America. The results suggest that there are statistically significant differences between the models of weight variation in southern and northern hemispheres. In both northern and southern hemispheres the lowest weight values were observed in the summer. However, the highest weight values were noticed in the winter and in the spring for northern and southern hemispheres, respectively.

AB - The digital revolution of information and technology in late 20th century has led to emergence of devices that help people monitor their weight in a long-term manner. Investigation of population-level variations of body mass using smart connected weight scales enabled the health coaches acquire deeper insights about the models of people's behavior as a function of time. Typically, body mass varies when the seasons change. That is, during the warmer seasons people's body mass tend to decrease while in colder seasons it usually moves up. In this paper we study the seasonal variations of body mass in seven countries by utilization of linear regression. Deviation of monthly weight values from the starting point of astronomical years (beginning of spring) were modeled by fitting orthogonal polynomials in each country. The distinction of weight variations in southern and northern hemispheres were then investigated. The studied population involves 6429 anonymous weight scale users from:(1) Australia, (2) Brazil, (3) France, (4) Germany, (5) Great Britain, (6) Japan, and (7) United States of America. The results suggest that there are statistically significant differences between the models of weight variation in southern and northern hemispheres. In both northern and southern hemispheres the lowest weight values were observed in the summer. However, the highest weight values were noticed in the winter and in the spring for northern and southern hemispheres, respectively.

KW - health care

KW - weighing

KW - Australia

KW - Brazil

KW - France

KW - Germany

KW - Great Britain

KW - Japan

KW - United States of America

KW - anonymous weight scale

KW - cold season

KW - digital information revolution

KW - linear regression

KW - northern hemisphere

KW - orthogonal polynomial

KW - people behavior

KW - seasonal body mass variation

KW - seasonal weight variation pattern

KW - southern hemisphere

KW - spring season

KW - summer season

KW - weight monitoring

KW - weight scales

KW - winter season

KW - Linear regression

KW - Sociology

KW - Springs

KW - Time series analysis

KW - Weight measurement

U2 - 10.1109/EMBC.2016.7591232

DO - 10.1109/EMBC.2016.7591232

M3 - Conference contribution

SP - 2475

EP - 2478

BT - 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

PB - IEEE

ER -