Sergio Mucching-Toscano, Miguel Moscoso-Porras, Jessica Hanae Zafra-Tanaka, Cecilia Anza-Ramirez, Antonio Bernabé-Ortiz, Jonathan C. K. Wells, J. Jaime Miranda
{"title":"秘鲁农村、城市和城乡流动人口相对腿长与胰岛素抵抗的关系","authors":"Sergio Mucching-Toscano, Miguel Moscoso-Porras, Jessica Hanae Zafra-Tanaka, Cecilia Anza-Ramirez, Antonio Bernabé-Ortiz, Jonathan C. K. Wells, J. Jaime Miranda","doi":"10.1002/ajhb.70105","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>To determine the association between relative leg length and insulin resistance according to rural, urban, and rural–urban migrant groups.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Cross-sectional study using data from the PERU MIGRANT study (2007–2008). The exposure was relative leg length categorized as short, normal, or long, and the outcome was insulin resistance (logarithm of homeostatic model assessment log-HOMA2-IR). Linear regression models with log transformation, adjusted for sex, age, parental education, hip circumference, and physical activity level, were employed to estimate geometric mean ratios of insulin resistance across leg length categories. Interaction effects of population groups (rural, urban, and migrants) on insulin resistance were explored, along with mediation analysis of central obesity and excess body fat in the main relationship.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Using data from 947 participants, 52.7% female, mean age 47.7 years (SD = 11.9), we found a robust inverse association between relative leg length and insulin resistance. The geometric mean of insulin resistance in subjects with long leg length was 43% (e<sup>β1</sup>: 0.57, 95% CI: 0.47–0.69) lower than those in the normal category. A significant interaction effect of the population group on relative leg length categories (<i>p</i> < 0.001) was observed, particularly in the migrant and rural groups. Excess body fat and abdominal obesity explained 33% and 12% of the association between relative leg length and insulin resistance, respectively.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Longer leg length was associated with lower insulin resistance values, with a greater interaction effect observed among the rural–urban migrant and urban groups. These findings support the hypothesis that metabolic disorders in adults may be traceable to nutritional and developmental conditions early in life.</p>\n </section>\n </div>","PeriodicalId":50809,"journal":{"name":"American Journal of Human Biology","volume":"37 7","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association Between Relative Leg Length and Insulin Resistance in Rural, Urban and Rural–Urban Migrant Populations of Peru\",\"authors\":\"Sergio Mucching-Toscano, Miguel Moscoso-Porras, Jessica Hanae Zafra-Tanaka, Cecilia Anza-Ramirez, Antonio Bernabé-Ortiz, Jonathan C. K. Wells, J. Jaime Miranda\",\"doi\":\"10.1002/ajhb.70105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>To determine the association between relative leg length and insulin resistance according to rural, urban, and rural–urban migrant groups.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Cross-sectional study using data from the PERU MIGRANT study (2007–2008). The exposure was relative leg length categorized as short, normal, or long, and the outcome was insulin resistance (logarithm of homeostatic model assessment log-HOMA2-IR). Linear regression models with log transformation, adjusted for sex, age, parental education, hip circumference, and physical activity level, were employed to estimate geometric mean ratios of insulin resistance across leg length categories. Interaction effects of population groups (rural, urban, and migrants) on insulin resistance were explored, along with mediation analysis of central obesity and excess body fat in the main relationship.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Using data from 947 participants, 52.7% female, mean age 47.7 years (SD = 11.9), we found a robust inverse association between relative leg length and insulin resistance. The geometric mean of insulin resistance in subjects with long leg length was 43% (e<sup>β1</sup>: 0.57, 95% CI: 0.47–0.69) lower than those in the normal category. A significant interaction effect of the population group on relative leg length categories (<i>p</i> < 0.001) was observed, particularly in the migrant and rural groups. Excess body fat and abdominal obesity explained 33% and 12% of the association between relative leg length and insulin resistance, respectively.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Longer leg length was associated with lower insulin resistance values, with a greater interaction effect observed among the rural–urban migrant and urban groups. 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Association Between Relative Leg Length and Insulin Resistance in Rural, Urban and Rural–Urban Migrant Populations of Peru
Objective
To determine the association between relative leg length and insulin resistance according to rural, urban, and rural–urban migrant groups.
Methods
Cross-sectional study using data from the PERU MIGRANT study (2007–2008). The exposure was relative leg length categorized as short, normal, or long, and the outcome was insulin resistance (logarithm of homeostatic model assessment log-HOMA2-IR). Linear regression models with log transformation, adjusted for sex, age, parental education, hip circumference, and physical activity level, were employed to estimate geometric mean ratios of insulin resistance across leg length categories. Interaction effects of population groups (rural, urban, and migrants) on insulin resistance were explored, along with mediation analysis of central obesity and excess body fat in the main relationship.
Results
Using data from 947 participants, 52.7% female, mean age 47.7 years (SD = 11.9), we found a robust inverse association between relative leg length and insulin resistance. The geometric mean of insulin resistance in subjects with long leg length was 43% (eβ1: 0.57, 95% CI: 0.47–0.69) lower than those in the normal category. A significant interaction effect of the population group on relative leg length categories (p < 0.001) was observed, particularly in the migrant and rural groups. Excess body fat and abdominal obesity explained 33% and 12% of the association between relative leg length and insulin resistance, respectively.
Conclusions
Longer leg length was associated with lower insulin resistance values, with a greater interaction effect observed among the rural–urban migrant and urban groups. These findings support the hypothesis that metabolic disorders in adults may be traceable to nutritional and developmental conditions early in life.
期刊介绍:
The American Journal of Human Biology is the Official Journal of the Human Biology Association.
The American Journal of Human Biology is a bimonthly, peer-reviewed, internationally circulated journal that publishes reports of original research, theoretical articles and timely reviews, and brief communications in the interdisciplinary field of human biology. As the official journal of the Human Biology Association, the Journal also publishes abstracts of research presented at its annual scientific meeting and book reviews relevant to the field.
The Journal seeks scholarly manuscripts that address all aspects of human biology, health, and disease, particularly those that stress comparative, developmental, ecological, or evolutionary perspectives. The transdisciplinary areas covered in the Journal include, but are not limited to, epidemiology, genetic variation, population biology and demography, physiology, anatomy, nutrition, growth and aging, physical performance, physical activity and fitness, ecology, and evolution, along with their interactions. The Journal publishes basic, applied, and methodologically oriented research from all areas, including measurement, analytical techniques and strategies, and computer applications in human biology.
Like many other biologically oriented disciplines, the field of human biology has undergone considerable growth and diversification in recent years, and the expansion of the aims and scope of the Journal is a reflection of this growth and membership diversification.
The Journal is committed to prompt review, and priority publication is given to manuscripts with novel or timely findings, and to manuscripts of unusual interest.