ArticleDiabetes care2012
Effect of longitudinal changes in visceral fat area and other anthropometric indices to the changes in metabolic risk factors in Japanese men: the Hitachi Health Study.
Article in Diabetes care, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed.
- Effects of 12-Week Sorghum Consumption on Visceral Fat Area and Metabolic Parameters in Japanese Adults: An Exploratory Single-Arm Trial.Nutrients · 2026Trial
- Trial
- Statistical methods for analyzing change over time of continuous outcomes in observational health studies: a scoping review of suggested approaches.Systematic reviews · 2026Article
- Visceral fat area loss reduces 10-year atherosclerotic cardiovascular disease risk in Chinese population with type 2 diabetes mellitus: a prospective cohort study.Lipids in health and disease · 2025Article
- Visceral adiposity loss is associated with improvement in cardiometabolic markers: findings from a dietary intervention study.Frontiers in endocrinology · 2025Article
- Cutoffs of different body measurement indexes of central obesity in patients with type 2 diabetes.Scientific reports · 2024Article
- Should insulin resistance (HOMA-IR), insulin secretion (HOMA-β), and visceral fat area be considered for improving the performance of diabetes risk prediction models.BMJ open diabetes research & care · 2024Article
- Multiple nutritional and gut microbial factors associated with allergic rhinitis: the Hitachi Health Study.Scientific reports · 2022Article
- Association between Adipose Tissue Depots and Dyslipidemia: The KORA-MRI Population-Based Study.Nutrients · 2022Article
- Effects of Body Mass Index, Waist Circumference, Waist-to-Height Ratio and Their Changes on Risks of Dyslipidemia among Chinese Adults: The Guizhou Population Health Cohort Study.International journal of environmental research and public health · 2021Article
- Longitudinal study of risk factors for decreased cross-sectional area of psoas major and paraspinal muscle in 1849 individuals.Scientific reports · 2021Article
- Change in CT-measured abdominal subcutaneous and visceral but not thigh fat areas predict future insulin sensitivity.Diabetes research and clinical practice · 2019Article
- Prevalence and factors associated with nonalcoholic fatty pancreas disease and its severity in China.Medicine · 2018Observational
- Review
- Body mass index trajectory patterns and changes in visceral fat and glucose metabolism before the onset of type 2 diabetes.Scientific reports · 2017Article
- Association of Changes in Abdominal Fat Quantity and Quality With Incident Cardiovascular Disease Risk Factors.Journal of the American College of Cardiology · 2016Article
- Increased Visceral Adipose Tissue Is an Independent Predictor for Future Development of Atherogenic Dyslipidemia.The Journal of clinical endocrinology and metabolism · 2016Article
- Visceral adiposity and the risk of metabolic syndrome across body mass index: the MESA Study.JACC. Cardiovascular imaging · 2014Article
- Effects of exenatide in a morbidly obese patient with type 2 diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2014Article
- Aging attenuates the association of central obesity with the accumulation of metabolic risk factors when assessed using the waist circumference measured at the umbilical level (the Japanese standard method).Nutrition & diabetes · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe effects of longitudinal changes in the visceral fat area (VFA), and other anthropometric indices, on the risk factors of metabolic syndrome were not studied. We calculated the changes in metabolic risk factors in relation to changes in certain anthropometric indices in a large-scale study of Japanese men. RESEARCH DESIGN AND
methodsThe subjects were 1,106 men participating in the Hitachi Health Study who received a computed tomography examination in both 2004 and 2007. VFA, subcutaneous fat area (SFA), and waist circumference were measured using the computed tomography. We examined how longitudinal changes in each anthropometric index over a 3-year period influenced the value of each metabolic risk factor.
resultsChanges (Δ) over a 3-year period in body weight, SFA, and waist circumference strongly correlated, while the changes in body weight and VFA were weakly correlated. Changes in the VFA were associated with changes in metabolic risk factors, especially changes in triglyceride and HDL; we found these changes to be independent of the body weight and waist circumference.
conclusionsChange in body weight is not a precise surrogate marker of VFA, and repeated VFA measurements over time are useful. Adopting a lifestyle that does not increase the VFA is important in preventing metabolic syndrome.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.