Objective: To analyze the relationship between food intake and chronic disease of Nu nationality residents living in Gongshan County in Yunnan Province.

Methods: A total of 368 Nu nationality residents aged above 6 years old among 342 families( male 172, female 196) in Gongshan County in Yunnan Province were selected with stratified multistage random cluster sampling method. The condition of dietary structure and anemia, overweight or obesity, diabetes and dyslipidemia among Nu nationality were obtained with food frequency questionnaire and questionnaire survey. Non-conditional Logistic regression analysis was utilized to analyze the correlation between food intake and chronic diseases.

Results: The prevalence of anemia, overweight or obesity, hypertension, diabetes and dyslipidemia were 16. 0%, 18. 5%, 18. 5%, 41. 3%and 53. 8% in 2016, respectively. Marital status and consumption of sugar( biscuits) in the past 12 months were related to the anemia in the Nu residents. Sex, occupation, marital status, education level and consumption of dried beans and products( soybeans)in the past 12 months were associated with hypertension among the Nu nationality population. For the Nu nationality residents, marital status, eaten cereals and products( cereals and other products) in the past 12 months, meat and meat products( fresh or frozen poultry) and sugar( bread, biscuits) food had something to do with diabetes. Sex, occupation and consumption of vegetables and products( solanaceous vegetables) over the past 12 months were linked to the prevalence of overweight or obesity. Marital status, consumption of livestock meat and products( fresh or frozen poultry) and fish( grass carp) in the past 12 months were associated with dyslipidemia among the Nu nationality residents.

Conclusion: The prevalence of chronic diseases residents can not be ignored. The main influencing factors of anemia in Nu nationality are marital status and eating sugar. Sex, occupation, marital status, education level, consumption of dried beans and products are the main influencing hypertension factors. Factors causing diabetes are marital status, cereals and products, animal meat and products and carbohydrates. The influence factors of overweight or obesity are gender, occupation, eating vegetables and products. Marital status, eating animal meat and products and fish are the factors leading to dyslipidemia.

Download full-text PDF

Source

Publication Analysis

Top Keywords

marital status
32
nationality residents
16
overweight obesity
16
meat products
16
gongshan county
12
county yunnan
12
sex occupation
12
cereals products
12
products
11
chronic disease
8

Similar Publications

Background:  Craniofacial mucormycosis is a highly lethal infectious disease. This study aims to assess and analyze multiple variables, including clinical, socioeconomic, and biochemical markers, to identify and examine risk factors for mortality associated with this mycotic infection.

Material And Methods:  A retrospective analysis was conducted on 38 patients who sought medical attention at the Otolaryngology and Head and Neck Surgery Division of a tertiary-level hospital in Monterrey, Mexico.

View Article and Find Full Text PDF

The effects of unified pooling arrangement on health inequity in China: a DID-RIF approach.

BMC Health Serv Res

January 2025

School of Humanities and Social Sciences, Beihang University, No. 37 Xueyuan Road, Beijing, 100191, China.

Background: To address the health inequity caused by decentralized management, China has introduced a provincial pooling system for urban employees' basic medical insurance. This paper proposes a research framework to evaluate similar policies in different contexts. This paper adopts a mixed-methods approach to more comprehensively and precisely capture the causal effects of the policy.

View Article and Find Full Text PDF

Objectives: Comorbidities of depression, anxiety and loneliness may be more prevalent in frail older adults, which may lead to an accelerated deterioration of psychological symptoms. This study was aimed to assess the moderating effect of frailty on the network of depression, anxiety, and loneliness symptoms in community-dwelling older adults.

Methods: A sample of 4253 older adults were recruited from the Psychology and Behavior Investigation of Chinese Residents (PBICR).

View Article and Find Full Text PDF

Inequality in COVID-19 vaccine acceptance and uptake: A repeated cross-sectional analysis of COVID vaccine acceptance and uptake in 13 countries.

Health Policy

January 2025

Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom; National Institute for Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom; Centre For Health Policy, University of Melbourne, Parkville, VIC 3010, Australia. Electronic address:

Background COVID-19 vaccine hesitancy was a key barrier to ending the pandemic via mass immunisation. Objectives Assess magnitudes and differences in socioeconomic inequality in stated COVID-19 vaccine acceptance (hesitancy) and uptake. Methods Online surveys were conducted in 13 countries, collecting data from 15,337 and 18,189 respondents respectively.

View Article and Find Full Text PDF

: According to the American Academy of Pediatrics and the American College of Obstetricians and Gynecologists, pregnant people facing periviable delivery should be counseled on expected neonatal outcomes and available pregnancy options. The objective of this study is to evaluate if rates of neonatology consultation and pregnancy option counseling for those facing periviable delivery differ based on social vulnerability factors or Social Vulnerability Index (SVI). : This was a retrospective cohort study of patients who delivered at 22 0/7 weeks to 25 6/7 weeks of gestation at two academic medical centers with level III or IV neonatal intensive care units from 2019 to 2022.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!