Dataset Information

Impact of obesity, overweight and underweight on life expectancy and lifetime medical expenditures: the Ohsaki Cohort Study.

ABSTRACT: People who are obese have higher demands for medical care than those of the normal weight people. However, in view of their shorter life expectancy, it is unclear whether obese people have higher lifetime medical expenditure. We examined the association between body mass index, life expectancy and lifetime medical expenditure.Prospective cohort study using individual data from the Ohsaki Cohort Study.Miyagi Prefecture, northeastern Japan.The 41?965 participants aged 40-79 years.The life expectancy and lifetime medical expenditure aged from 40 years.In spite of their shorter life expectancy, obese participants might require higher medical expenditure than normal weight participants. In men aged 40 years, multiadjusted life expectancy for those who were obese participants was 41.4 years (95% CI 38.28 to 44.70), which was 1.7 years non-significantly shorter than that for normal weight participants (p=0.3184). Multiadjusted lifetime medical expenditure for obese participants was £112?858.9 (94?954.1-131?840.9), being 14.7% non-significantly higher than that for normal weight participants (p=0.1141). In women aged 40 years, multiadjusted life expectancy for those who were obese participants was 49.2 years (46.14-52.59), which was 3.1 years non-significantly shorter than for normal weight participants (p=0.0724), and multiadjusted lifetime medical expenditure was £137?765.9 (123?672.9-152?970.2), being 21.6% significantly higher (p=0.0005).According to the point estimate, lifetime medical expenditure might appear to be higher for obese participants, despite their short life expectancy. With weight control, more people would enjoy their longevity with lower demands for medical care.

SUBMITTER: Nagai M

PROVIDER: S-EPMC3353127 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Impact of obesity, overweight and underweight on life expectancy and lifetime medical expenditures: the Ohsaki Cohort Study.

Nagai Masato M Kuriyama Shinichi S Kakizaki Masako M Ohmori-Matsuda Kaori K Sone Toshimasa T Hozawa Atsushi A Kawado Miyuki M Hashimoto Shuji S Tsuji Ichiro I

BMJ open 20120511 3

<h4>Objectives</h4>People who are obese have higher demands for medical care than those of the normal weight people. However, in view of their shorter life expectancy, it is unclear whether obese people have higher lifetime medical expenditure. We examined the association between body mass index, life expectancy and lifetime medical expenditure.<h4>Design</h4>Prospective cohort study using individual data from the Ohsaki Cohort Study.<h4>Setting</h4>Miyagi Prefecture, northeastern Japan.<h4>Part ...[more]

PMID: 22581797

Similar Datasets

Project description:ObjectiveThis study was undertaken to estimate the cumulative incidence rate of rheumatoid arthritis (RA) in the Taiwanese population ages 16-84 years, and life expectancy, loss of life expectancy, and lifetime health care expenditures for incident RA in Taiwan after 2003, when biologics began to be prescribed.MethodsWe obtained all claims data for the period 1999 to 2016 from the National Health Insurance program of Taiwan, and validated the data against the Catastrophic Illness Registry to establish the study cohort. We estimated the survival function for RA and extrapolated to lifetime using a rolling-over algorithm. For every RA case, we simulated sex-, age-, and calendar year-matched referents from vital statistics and estimated their life expectancy. The difference between the life expectancy of the referent and the life expectancy of the RA patient was the loss of life expectancy for the RA patient. Average monthly health care expenditures were multiplied by the corresponding survival rates and summed up throughout the lifetime to calculate the lifetime health care expenditures.ResultsA total of 29,352 new RA cases were identified during 2003-2016. There was a decreasing trend in cumulative incidence rate in those ages 16-84 for both sexes. Mean life expectancy after diagnosis of RA was 26.3 years, and mean lifetime cost was $72,953. RA patients had a mean loss of life expectancy of 4.97 years. Women with RA survived 1-2 years longer than men with RA of the same age, which resulted in higher lifetime expenditures for the former. Since the life expectancy for women in Taiwan was 6-7 years higher than that for men, the loss of life expectancy for women with RA was higher than that for men with RA. Annual health care expenditures were similar for both sexes.ConclusionOur findings indicate that since biologics became available, RA patients have lived longer and had higher lifetime expenditures, which should be monitored and evaluated for cost-effectiveness.

Project description:Background:The mortality rates for different cancers are no longer an efficient tool for making national policy. The purpose of this study were to quantify the lifetime risks, life expectancies (LEs) after diagnosis, expected years of life lost (EYLL), and lifetime health care expenditures for 19 major cancers in Taiwan. Methods:A total of 831,314 patients with 19 pathologically proven cancers were abstracted from the Taiwan Cancer Registry from 1998 to 2012. They were linked to the National Mortality Registry (1998-2014) and National Health Insurance reimbursement database (1998-2013) for survival and health care costs. We estimated the cumulative incidence rate for ages 0-79 years and the lifetime survival function for patients with different cancer sites. The EYLL was calculated by subtracting the LE of each cancer cohort from that of the age- and sex-matched referents simulated from national life tables. The estimated lifetime cost was calculated by adding up the product of survival probability and mean cost at the corresponding duration-to-date after adjustment for the inflation to the year of 2013. Results:There were 5 cancers with a lifetime risk exceeding 4%: colorectal, liver, lung, and prostate in males, and breast and colorectal in females. Cancers with EYLL of >10 years were: esophageal, intrahepatic bile ducts, liver, pancreas, oral, nasopharyngeal, leukemia, lung, and gallbladder, extrahepatic bile ducts and biliary tract in males, and intrahepatic bile ducts, pancreas, nasopharyngeal, lung, esophageal, leukemia, liver, gallbladder, extrahepatic bile ducts and biliary tract, ovary, and stomach in females. Cancers with lifetime health care expenditures exceeding US$50,000 to the National Health Insurance were as follows: leukemia, kidney, testis, renal pelvis and ureter in males, and renal pelvis and ureter, leukemia, breast, urinary bladder, kidney, ovary, and nasopharyngeal in females. All these impacts should be considered in health policy decisions. Conclusion:The impacts of cancer in Taiwan are very large. Future studies must consider both quality of life and the entire impact from societal perspectives.

Project description:BACKGROUND:Underweight, overweight, and obesity are major public health challenges among reproductive-age women of lower- and middle-income countries (including Tanzania). In those settings, obesogenic factors (attributes that promote excessive body weight gain) are increasing in the context of an existing high burden of undernutrition. The present study investigated factors associated with underweight, overweight, and obesity among reproductive age women in Tanzania. METHODS:This study used 2015-16 Tanzania Demographic and Health Survey data (n = 11735). To account for the hierarchical nature of the data (i.e., reproductive age women nested within clusters), multilevel multinomial logistic regression models were used to investigate the association between individual-level (socioeconomic, demographic and behavioural) and community-level factors with underweight, overweight, and obesity. RESULTS:Reproductive age women who were informally employed (relative risk ratio [RRR] = 0.79; 95% confidence interval [CI]: 0.64, 0.96), those who were currently married (RRR = 0.59; 95% CI: 0.43, 0.82) and those who used contraceptives (RRR = 0.70; 95% CI: 0.54, 0.90) were less likely to be underweight. Reproductive age women who attained secondary or higher education (RRR = 1.48; 95% CI: 1.11, 1.96), those who resided in wealthier households (RRR = 2.31; 95% CI: 1.78, 3.03) and those who watched the television (RRR = 1.26; 95% CI: 1.06, 1.50) were more likely to be overweight. The risk of experiencing obesity was higher among reproductive age women who attained secondary or higher education (RRR = 1.79; 95% CI: 1.23, 2.61), those who were formally employed (RRR = 1.50; 95% CI: 1.14, 1.98), those who resided in wealthier households (RRR = 4.77; 95% CI: 3.03, 7.50), those who used alcohol (RRR = 1.43; 95% CI: 1.12, 1.82) and/or watched the television (RRR = 1.70; 95% CI: 1.35, 2.13). CONCLUSION:Our study suggests that relevant government jurisdictions need to identify, promote, and implement evidence-based interventions that can simultaneously address underweight and overweight/obesity among reproductive age women in Tanzania.

Project description:OBJECTIVE:To identify associations between the weight groups underweight (UW), overweight (OW) and obesity (OB) at 5?years of age and exposures related to pregnancy, anthropometric measures at birth, sociodemographic factors, and family health, anthropometric measures and habits. DESIGN:Regional cohort study. SETTING:Oppland County, Norway. METHODS:Pregnancy data were obtained from a prospective perinatal register for children born in the county, and weight and height were measured by midwives at birth and by public health nurses at 5?years. Other information was obtained from questionnaires completed by parents. PARTICIPANTS:Of 1895 eligible children, current weight and height were obtained for all, weight and length at birth and information from parents for 1119 (59%) and pregnancy register data for 749 (40%) of the children. The significance of potential explanatory variables from descriptive statistics was tested in multinomial logistic regression analysis. RESULTS:The prevalence of UW, OW and OB among participants was 7.8%, 10.6% and 3.5%, respectively. UW was associated with anthropometric measures at birth and those of parents, but not with sociodemographic or behavioural characteristics. OW and OB were associated with anthropometric measures of parents and siblings and with a variety of unfavourable social characteristics, lack of prolonged breast feeding, sedentary behaviour and dental caries, but not with current dietary habits. After adjustments, OW and OB were marginally related to birth parameters and diet and unrelated to physical activity, but significantly related to parental body mass index, low parental education and maternal smoking. CONCLUSION:The strong associations between sociodemographic and behavioural factors and OW and OB, but not with UW, may suggest that environmental factors are major contributing causes of OW and particularly OB at 5?years. These results may be helpful in targeting preventive measures against OW and OB.

Dataset Information

Impact of obesity, overweight and underweight on life expectancy and lifetime medical expenditures: the Ohsaki Cohort Study.

Publications

Impact of obesity, overweight and underweight on life expectancy and lifetime medical expenditures: the Ohsaki Cohort Study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets