ABSTRACT
BACKGROUND: Urbanization in China is rapidly proceeding, but rural-to-urban migration and its association with overweight and obesity is not well studied. This study aimed to explore the age at arrival, duration of migration, and the corresponding association with overweight/obesity in Yi migrants in China. METHODS: A cross-sectional study was conducted in rural and urban areas in 2015 in Sichuan province, China. Demographic characteristics, lifestyle factors, and anthropometry were collected. General linear regression models were used to assess the effect of duration of migration (1-10, 11-20, 21-30, and >30 years) on body mass index (BMI). Multi-variable logistic regression was used to examine the association between duration of migration and overweight/obesity (BMI ≥ 25 kg/m2). RESULTS: A total of 3056 Yi people (1894 Yi farmers and 1162 Yi migrants) aged 20 to 80 years were enrolled. After adjusting for age, sex, and other potential confounders, Yi migrants had 1.71 kg/m2 (95% confidence interval [CI]: 1.36-2.06) higher BMI and a 2.13-fold (95% CI: 1.71-2.65) higher risk of overweight/obesity than Yi farmers. In Yi migrants, stratified by age at arrival, no significant association between duration of migration and overweight/obesity was observed in those who were 0 to 20 years old at arrival. In comparison, in migrants >20 years old at arrival, compared with the reference group (1-10 years), long-term migration (>30 years) was found to be associated with overweight/obesity after adjustment (odds ratio: 1.85, 95% CI: 1.04-3.29). CONCLUSIONS: Yi migrants were observed to have greater risk of overweight/obesity than Yi farmers. In Yi migrants, the risk of overweight/obesity increased according to the duration of migration, especially in those who were older upon their arrival.
Subject(s)
Obesity , Overweight , Transients and Migrants , Adult , Aged , Aged, 80 and over , China/epidemiology , Cross-Sectional Studies , Humans , Middle Aged , Obesity/epidemiology , Overweight/epidemiology , Prevalence , Rural Population , Urban Population , Young AdultSubject(s)
Farmers/statistics & numerical data , Hyperuricemia/epidemiology , Transients and Migrants/statistics & numerical data , Adult , Aged , Aged, 80 and over , China/epidemiology , Cross-Sectional Studies , Ethnicity , Female , Humans , Male , Middle Aged , Prevalence , Risk Factors , Young AdultABSTRACT
Using high-performance liquid chromatography (HPLC), a chemical fingerprint method was developed for investigating and demonstrating the variance of flavonoids among different origins of sea buckthorn berries. Thirty-four samples were analyzed including 15 RS (Hippophae rhamnoides ssp. sinensis) samples, 7 RY (H. rhamnoindes ssp. yunnanensis) samples, 5 RW (H. rhamnoides ssp. wolongensis) samples, 4 NS (H. neurocarpa ssp. stellatopilosa) samples and 3 TI (H. tibetana) samples. In the HPLC chromatograms, 12 compounds were identified as flavonoids, including quercetin 3-O-sophoroside-7-rhamnoside, kaempferol 3-O-sophoroside-7-O-rhamnoside, isorhamnetin 3-O-sophoroside-7-O-rhamnoside, isorhamnetin 3-O-glucoside-7-O-rhamnoside, quercetin 3-O-rutinoside, quercetin 3-O-glucoside, isorhamnetin 3-O-rutinoside, isorhamnetin 3-O-glucoside, quercetin, kaempferol 7-O-rhamnoside, kaempferol and isorhamnetin. Both correlation coefficient of similarity in chromatograms and relative peak areas of characteristic compounds were calculated for quantitative expression of the HPLC fingerprints. Our results revealed that the chromatographic fingerprint combining similarity evaluation could efficiently identify and distinguish sea buckthorn berries from different species. However, no obvious difference between RS and RY suggested that the two subspecies might have very close relationship in terms of chemotaxonomy. The established method was considered to be suitable for fingerprint analysis to check the genuine origin and control the quality of sea buckthorn berries and extracts.
