2023
DOI: 10.3389/fpubh.2023.1094471
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Sex difference in the associations among obesity-related indices with incidence of diabetes mellitus in a large Taiwanese population follow-up study

Abstract: BackgroundObesity is a major risk factor for diabetes mellitus (DM), which is in turn a major risk factor for cardiovascular diseases such as coronary artery disease and stroke. As few studies have investigated sex differences in the association between obesity and incidence of DM, the aim of this longitudinal study was to explore this issue in a large group of Taiwanese participants.MethodsA total of 24,346 participants were enrolled in this study, of whom 8,334 (mean age, 50.6 ± 11.0 years) were male and 16,… Show more

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Cited by 6 publications
(10 citation statements)
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“…Overall, there is a positive correlation between LAP and diabetes risk (24-35, 52-61), and LAP has been found to be effective in diagnosing/predicting diabetes (24)(25)(26)(27)(28)(29)(30)(31)(56)(57)(58)(59)(60)(61)(62). However, further differentiation between genders in the studies revealed some interesting trends, with two studies (26,27) showing stronger associations of LAP with diabetes in males than in females; furthermore, in a study involving the general Indonesian population (63), the cross-sectional analysis showed that LAP was associated with diabetes risk in females, while this association disappeared in the male population, and in a subsequent study of 2,427 baseline non-diabetic participants with 4-year follow-up period, LAP was not associated with the risk of future diabetes in either gender. In another cross-sectional study of 430 Brazilian hypertensive people (64), Marcadenti A et al showed that LAP was positively correlated with the incidence of diabetes in females, while there was no significant association in the male population.…”
Section: Compare the Differences Between New Results And Old Literaturementioning
confidence: 98%
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“…Overall, there is a positive correlation between LAP and diabetes risk (24-35, 52-61), and LAP has been found to be effective in diagnosing/predicting diabetes (24)(25)(26)(27)(28)(29)(30)(31)(56)(57)(58)(59)(60)(61)(62). However, further differentiation between genders in the studies revealed some interesting trends, with two studies (26,27) showing stronger associations of LAP with diabetes in males than in females; furthermore, in a study involving the general Indonesian population (63), the cross-sectional analysis showed that LAP was associated with diabetes risk in females, while this association disappeared in the male population, and in a subsequent study of 2,427 baseline non-diabetic participants with 4-year follow-up period, LAP was not associated with the risk of future diabetes in either gender. In another cross-sectional study of 430 Brazilian hypertensive people (64), Marcadenti A et al showed that LAP was positively correlated with the incidence of diabetes in females, while there was no significant association in the male population.…”
Section: Compare the Differences Between New Results And Old Literaturementioning
confidence: 98%
“…In summary, there was some variation in LAP predictive thresholds for different regional populations, and in addition, the results of studies regarding LAP predictive thresholds in different genders were also inconsistent. Among them, in a large prospective study involving a Taiwanese population in China ( 26 ), Chung et al. evaluated the value of different parameters for predicting future diabetes, and the ROC analysis showed that the threshold for LAP to predict diabetes was higher in the male population than in the female.…”
Section: Discussionmentioning
confidence: 99%
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“…Consistent with previous studies conducted in nine countries in Europe (De Pablos-Velasco et al, 2014) and Korea (Choe et al, 2018), inadequate management of glycemic levels was more common in women than men. One explanation might be that among diabetic patients, overweight or obesity is more prevalent in women than in men (Chung et al, 2023; Sattar, 2013). Consequently, the disparity in body fat percentage between women and men is a contributing factor that may lead to diminished sensitivity to insulin in the muscles and liver.…”
Section: Discussionmentioning
confidence: 99%
“…Anthropometric parameters have been widely reported in recent years because they are easy to measure, non-invasive, and inexpensive ( 14–16 ). BMI (defined as general obesity) and waist circumference (defined as central obesity) are important indicators for measuring obesity, and their increase is associated with a higher risk of DM ( 17 ). However, a recent study has shown that obesity as defined by BMI is inversely associated with the occurrence of DM in men ( 18 ).…”
Section: Introductionmentioning
confidence: 99%