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

The association between health risks and medical expenditures in a Japanese corporation. | LitMetric

Purpose: To examine the relationship between health risks and medical care expenditures in an employer setting in Japan.

Design: A cross-sectional, correlational study.

Setting: A large Japanese corporation.

Subjects: A total of 6543 employees of a large Japanese electronics company, for whom medical expenditures, lifestyle risks and biometric data were available, were included in the analysis. Seventy-six Percent were male, and subjects were primarily white-collar workers.

Measures: Medical expenditure data were available for fiscal year 2000, including inpatient, outpatient, and total expenditures, measured in Japanese yen. Binary expenditure indicators for those having no claims and those having high claims (90th percentile) were also created. Risk measures included biometric assessment of high blood pressure and high body mass index (BMI, body weight and height) and self-reported stress, lack of exercise, excess alcohol consumption, poor nutrition, current smoking, and recent quitting. High cholesterol and high blood glucose measures were also available for some subjects from company physicals.

Results: Average total expenditures were 48,017 yen (US$445). The 90th percentile of the expenditure distribution was approximately 111,750yen (US$1037). The most commonly reported risk factors were lack of exercise (52.9%), current smoking (35 %), stress (33%), and poor nutritional habits (23.6%). Least common were recently quitting smoking (2%), high blood pressure (4.1 %), and high blood glucose (9.4 %). The prevalence of overweight or obesity was 15.9%. High blood pressure and recent quitting were consistently related to high expenditures, after adjusting for the influence of other predictors. Adjusted expenditures were 76 % higher for recent quitters and 22.6% higher for employees with high blood pressure. Males and younger employees had consistently lower expenditures. Current smoking poor nutrition, and alcohol risk were also associated with lower expenditures. Those with multiple cardiovascular risk factors had adjusted medical expenditures that were 128% higher than those with no cardiovascular risks. Those who had multiple risk factors for stroke had expenditures that were 13% lower than those without stroke risk factors.

Conclusions: This paper represents a first step in examining the association between health risks and medical expenditures in Japanese employees. The investigation uncovered some significant levels of risk for lack of exercise, smoking, and stress. Although results indicate some significant associations between health risks and medical expenditures, several unexpected assocations were noted that require further study. Such information provides a solid foundation for health promotion efforts in Japan and direction for subsequent investigations of health risks and medical expenditures. Future studies should address important issues of health risk measurement, data collection, and research design.

Download full-text PDF

Source
http://dx.doi.org/10.4278/0890-1171-19.3s.238DOI Listing

Publication Analysis

Top Keywords

medical expenditures
24
high blood
24
health risks
20
risks medical
20
blood pressure
16
expenditures
14
lack exercise
12
current smoking
12
risk factors
12
high
10

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!