A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Time series analysis of monthly body weight and blood pressures of one man from 29 to 65 years. | LitMetric

Time series analysis of monthly body weight and blood pressures of one man from 29 to 65 years.

Am J Hum Biol

Department of Education, Faculty of Arts and Education, Tamagawa University, Tamagawa Gakuen, Machida city, Tokyo, Japan.

Published: July 2000

Time series analysis was carried out on monthly data of body weight and blood pressure of one male subject from 29 to 65 years of age by the program Census X-11 and DECOMP. Body weight increased from 55 kg to 70 kg from 30 to 50 years, then decreased to 60 kg afterward. The trend factor of body weight obtained by X-11 fluctuated markedly even after the removal of seasonal and irregular components. The trend factor of systolic blood pressure increased from 120 mmHg to 140 mmHg from 40 to 55 years, while diastolic blood pressure increased from 70 mmHg to 90 mmHg around 40 years of age. These changes were also accompanied by many fluctuations. The program DECOMP suggested that the fluctuations observed in X-11 were expressed by an autoregressive model. From the viewpoint of the most appropriate autoregressive model, it is possible that at younger ages body weight and systolic blood pressure may be affected by the values of the previous several months. On the other hand, they may be affected by the values of the previous month or two at older ages. Spectral analysis was also applied to the autoregressive model. Peaks at about 20, 30, or 40 months were observed in body weight changes. The pattern of the seasonal factor changed with age in body weight and blood pressure. In body weight, the peak appeared in the summer at younger ages, but in the autumn or winter at older ages. In blood pressure, the peak did not always appear in the winter. Am. J. Hum. Biol. 12:526-541, 2000. Copyright 2000 Wiley-Liss, Inc.

Download full-text PDF

Source
http://dx.doi.org/10.1002/1520-6300(200007/08)12:4<526::AID-AJHB12>3.0.CO;2-0DOI Listing

Publication Analysis

Top Keywords

body weight
32
blood pressure
24
weight blood
12
autoregressive model
12
time series
8
series analysis
8
body
8
weight
8
years age
8
trend factor
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!