An Age-Period-Cohort Analysis of Prevalence and Consultation Rate for Dyslipidemia in Japan

Okui, Tasuku

doi:10.1177/1010539520963643

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…In the present study, the association with dyslipidemias remains strong with the higher self-reported body silhouette (silhouettes: 6, 7, 8, and 9); this association persists after correcting the analysis by age, a variable that strongly influences the lipid profile in healthy patients [ 25 ]. Our findings might be attributed to the proxy measurement of adiposity performed by the self-reported body silhouette, as it has been reported that excessive body fat percentage is a main metabolic comorbidity associated with dyslipidemia.…”

Section: Discussionmentioning

confidence: 86%

Risk Assessment of Dyslipidemias, Hyperglycemia, Hyperuricemia, and Hypertension Utilizing Self-Reported Body Silhouettes

et al. 2023

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Objective. Self-reported body silhouette is an anthropometric instrument that has been utilized as a screening tool for underweight, overweight, obesity, and other abnormal anthropometric variables. Herein, we analyzed the risk associated with the self-reported body silhouette in the scope of dyslipidemias, hyperglycemia, hyperuricemia, and hypertension. Methods. Adult participants of the Health Workers Cohort Study enrolled between March 2004 and April 2006 were included. Then, risk analysis was performed considering dyslipidemias as serum triglycerides, high total cholesterol, high LDL-C, low HDL-C, hyperglycemia, hyperuricemia, and hypertension. Results. A total of 2,297 males and 5,003 females were analyzed. The median ages of the studied population was 39 (30–49) and 41 (31–50) years for males and females, respectively. Overall, there is a stepwise increase in the risk of presenting dyslipidemias, hyperglycemia, hyperuricemia, and hypertension as the self-reported body silhouette number increases, this tendency was observed in both males and females. Conclusion. Self-reported body silhouette is a useful risk assessment tool for dyslipidemias, hyperglycemia, hyperuricemia, and hypertension in Mexican adults. Applications of questioners containing this silhouette might be considered a valuable public health instrument due to their low cost, relative simplicity, and absence of specialized equipment, training, or respondent knowledge.

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Section: Discussionmentioning

confidence: 86%

Risk Assessment of Dyslipidemias, Hyperglycemia, Hyperuricemia, and Hypertension Utilizing Self-Reported Body Silhouettes

et al. 2023

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“…The trends of the age effects for triglycerides were particularly different depending on sex for the age group older than the 40s. Previous studies have indicated that an increase in the prevalence of dyslipidemia starting from the 50's age group is particularly evident for women in Japan [38]. Menopause leads to changes in the hormonal status, metabolism, and lipid profile [39,40].…”

Section: Discussionmentioning

confidence: 99%

An Age-Period-Cohort Analysis of Biomarkers of Lifestyle-Related Diseases Using the National Health and Nutrition Survey in Japan, 1973–2018

Okui

2020

IJERPH

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Studies of biomarkers of lifestyle-related diseases in Japanese cohorts are scarce. This study aimed to analyze trends in risk markers of lifestyle-related diseases using age-period-cohort (APC) analysis. Data on systolic blood pressure and BMI from 1973 to 2018 and serum glucose, triglyceride, and high-density lipoprotein cholesterol levels from 1989 to 2018 available from the National Health and Nutrition Survey were used. Values for each of the risk markers for each age, period, and cohort were estimated using APC analysis. For women, a decrease in all the risk markers of lifestyle-related diseases was observed in individuals born between the 1930s and approximately 1970. Therefore, female individuals born in approximately 1970 were considered to have the lowest risk of developing lifestyle-related and cardiovascular diseases. Meanwhile, the cohort effect on all the risk markers deteriorated for the younger cohorts, and changes in lifestyle behavior are needed for cohorts born more recently. For men, the trends in risk markers across the cohorts differed, and the relative risk of lifestyle-related diseases for each cohort differed according to disease. These results could help understand cohort-specific risks for lifestyle-related disease and enable identification of high-risk populations who could benefit from preventive measures.

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“…The age-standardized prevalence of dyslipidemia aged ≥35 years during 2015-2017 in Inner Mongolia was 31.2%, and male sex and obesity were positively correlated with dyslipidemia [22]. Furthermore, a cohort study from Japan also showed that the prevalence of dyslipidemia was higher in men than in women and tended to increase with age [23]. In 2013, a large sample of 170287 urban and rural residents in 31 provinces showed that the standardized prevalence rate of diabetes mellitus in Chinese adults was 10.9%, with males (11.7%) higher than females (10.2%) [24].…”

Section: The Association Between Sua Levels and Hypertension Diabetes...mentioning

confidence: 97%

Cross-sectional Study on the Association Between Hyperuricemia and Other Metabolic Diseases

Guan

Chen

Lan

et al. 2022

Preprint

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Purpose: Hyperuricemia (HUA) is a metabolic disease caused by overproduction and/or underexcretion of serum uric acid (SUA). The study was conducted to find the association between Hyperuricemia and hypertension, diabetes and hyperlipidemia. Methods: A total of 1632 people aged older than 18 years were selected through cluster random sampling in 2015 from two hospitals in Qiqihar, China. Epidemiological investigations were conducted to determine SUA, blood pressure, blood lipids, blood glucose and other indicators. Statistical comparisons of the results were evaluated by using t test, chi-square test, and logistic regression analysis with SPSS 19.0. Results: The prevalence of HUA, hypertension, diabetes and hyperlipidemia were 21.68%, 37.26%, 10.98% and 57.45% in the male population and 1.34%, 19.91%, 4.59% and 40.38% in the female population, respectively. There was a significant difference in the prevalence of HUA, hypertension, diabetes and hyperlipidemia between males and females (p＜0.001). Using the lowest SUA range as a reference group, the risk of hyperlipidemia increased with SUA levels in population (Q2: OR=1.570, p=0.003; Q3: OR=2.049, p＜0.001; Q4: OR=3.519, p＜0.001). (This trend persisted after adjusting for BMI, sex and age, Q2: OR=1.632, p=0.002; Q3: OR=2.091, p＜0.001; Q4: OR=3.719, p＜0.001). However, there was no statistically significant difference between the levels of SUA in the context of diabetes and hypertension, not even been adjusted. Conclusion: The level of SUA is associated with hyperlipidemia. It may be useful to maintain normal SUA level in the prevention and treatment of hyperlipidemia.

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An Age-Period-Cohort Analysis of Prevalence and Consultation Rate for Dyslipidemia in Japan

Cited by 5 publications

References 19 publications

Risk Assessment of Dyslipidemias, Hyperglycemia, Hyperuricemia, and Hypertension Utilizing Self-Reported Body Silhouettes

Risk Assessment of Dyslipidemias, Hyperglycemia, Hyperuricemia, and Hypertension Utilizing Self-Reported Body Silhouettes

An Age-Period-Cohort Analysis of Biomarkers of Lifestyle-Related Diseases Using the National Health and Nutrition Survey in Japan, 1973–2018

Cross-sectional Study on the Association Between Hyperuricemia and Other Metabolic Diseases

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