PROFILE OF THE HEALTH AND NUTRITIONAL STATUS OF OLDER ADULTS IN MEXICO. 2012 NATIONAL HEALTH AND NUTRITION SURVEY

2013 ◽  
pp. 1-8
Author(s):  
T. SHAMAH LEVY ◽  
L. CUEVAS NASU ◽  
M.C. MORALES RUAN ◽  
V. MUNDO ROSAS ◽  
I. MENDEZ GOMEZ-HUMARAN ◽  
...  
Keyword(s):  
Older Adults ◽  
Logistic Regression ◽  
Nutritional Status ◽  
Regression Model ◽  
National Health ◽  
Logistic Regression Model ◽  
Healthy Adult ◽  
Nutrition Survey ◽  
Health And Nutrition ◽  
Adult Status

Background:The health and nutritional conditions of older adults in Mexico are heterogeneous. Theprevalence of chronic noncommunicable diseases is elevated with disparities in functionality and socioeconomicinequities. Objectives:To obtain updated information of the health and nutritional profile of older adults inMexico in a national representative sample. Methods:Information was obtained from 6,687 60 years and olderadults from the 2012 National Health and Nutrition Survey (ENSANUT 2012). An index defining the status of"healthy adult" was constructed taking into account the variables of independence in performing activities ofdaily living (ADL), based on the development by Katz, instrumental ADL, no chronic diseases, nonsmoker andno active use of alcohol. Tables of frequencies and proportions were constructed and expanded to describe thegeneral characteristics and nutritional status of the adult Mexican population. A logistic regression model wasused to study changes in the probability of being classified as a healthy adult with respect to different variables ofinterest. Probabilities using the delta method were estimated to establish 95% confidence intervals. Results:Inthis study 12.2% of the older adults, were classified as healthy. The logistic regression model adjusted for thevariables included in the study shows that the interaction of age and gender is significant (P = 0.068), where theprobability of healthy adult status decreases in women with ageing and remains stable for men. Also, living in thesouthern region of the country significantly decreases the probability of healthy adult status (P = 0.001). Genderof the older adult was not significant. Conclusions:In Mexico, the health conditions of older adults are deficient.Public policies need to be generated that are directed at this population group and will translate into self-careactions in the early stages of life so as to guarantee a healthy future.

scholarly journals Work absence and multimorbidity in Portugal: results from the 1st National Health Examination Survey

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Matos ◽  
C Matias Dias ◽  
A Félix
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Chronic Diseases ◽  
National Health ◽  
Logistic Regression Model ◽  
Health Examination ◽  
Work Absence ◽  
Health Examination Survey ◽  
Absence From Work ◽  
The Impact

Abstract Background Studies on the impact of patients with multimorbidity in the absence of work indicate that the number and type of chronic diseases may increase absenteeism and that the risk of absence from work is higher in people with two or more chronic diseases. This study analyzed the association between multimorbidity and greater frequency and duration of work absence in the portuguese population between the ages of 25 and 65 during 2015. Methods This is an epidemiological, observational, cross-sectional study with an analytical component that has its source of information from the 1st National Health Examination Survey. The study analyzed univariate, bivariate and multivariate variables under study. A multivariate logistic regression model was constructed. Results The prevalence of absenteeism was 55,1%. Education showed an association with absence of work (p = 0,0157), as well as professional activity (p = 0,0086). It wasn't possible to verify association between the presence of chronic diseases (p = 0,9358) or the presence of multimorbidity (p = 0,4309) with absence of work. The prevalence of multimorbidity was 31,8%. There was association between age (p < 0,0001), education (p < 0,001) and yield (p = 0,0009) and multimorbidity. There is no increase in the number of days of absence from work due to the increase in the number of chronic diseases. In the optimized logistic regression model the only variables that demonstrated association with the variable labor absence were age (p = 0,0391) and education (0,0089). Conclusions The scientific evidence generated will contribute to the current discussion on the need for the health and social security system to develop policies to patients with multimorbidity. Key messages The prevalence of absenteeism and multimorbidity in Portugal was respectively 55,1% and 31,8%. In the optimized model age and education demonstrated association with the variable labor absence.

scholarly journals Diabetic Retinopathy and Hearing Loss: Results from the Fifth Korean National Health and Nutrition Survey

2021 ◽  
Vol 10 (11) ◽  
pp. 2398
Author(s):  
Yong Un Shin ◽  
Seung Hun Park ◽  
Jae Ho Chung ◽  
Seung Hwan Lee ◽  
Heeyoon Cho
Keyword(s):  
Hearing Loss ◽  
Logistic Regression ◽  
Diabetic Retinopathy ◽  
Old Age ◽  
National Health ◽  
Noise Exposure ◽  
Middle Aged ◽  
Nutrition Survey ◽  
Aged Group ◽  
Health And Nutrition

We investigated the association between the severity of diabetic retinopathy (DR) and hearing loss based on vascular etiology. We used data from the Korean National Health and Nutrition Survey 2010–2012. Adults aged >40 years with diabetes were enrolled. Demographic, socioeconomic, general medical, noise exposure and biochemical data were used. Participants were classified into three groups: diabetes without DR, non-proliferative DR (NPDR), and proliferative DR (PDR); participants were also divided into two groups (middle age (40 ≤ age < 65 years) vs. old age (age ≥ 65 years)). The association between hearing loss and DR was determined using logistic regression analysis. A total of 1045 participants (n = 411, middle-aged group; n = 634, old-age group) were enrolled. Overall, the prevalence of hearing loss was 58.1%, 61.4%, and 85.0% in the no DR, NPDR, and PDR groups, respectively. After adjusting for confounding factors, the logistic regression model showed that there was no significant association between the prevalence of DR and hearing loss in the overall sample. However, the presence of PDR (OR 7.74, 95% CI 2.08–28.82) was significantly associated with hearing loss in the middle-aged group. Middle-aged people with diabetes may have an association between DR severity and hearing loss. The potential role of microvascular diseases in the development of hearing loss, especially in middle-aged patients, could be considered.

Violencia en el hogar contra mujeres adultas durante el confinamiento por la pandemia de Covid-19 en México

2021 ◽  
Vol 63 (6, Nov-Dic) ◽  
pp. 782-788
Author(s):  
Rosario Valdez-Santiago ◽  
Aremis Litai Villalobos-Hernández ◽  
Luz Arenas-Monreal ◽  
Karla Flores ◽  
Luciana Ramos-Lira
Keyword(s):  
Domestic Violence ◽  
Logistic Regression ◽  
Associated Factors ◽  
Logistic Regression Model ◽  
Well Being ◽  
Adult Women ◽  
Nutrition Survey ◽  
Health And Nutrition ◽  
National Representation ◽  
Low Levels

Objective. To analyze the prevalence of domestic violence in adult women during confinement derived from the Co­vid-19 pandemic and individual, familiar and communitarian associated factors. Materials and methods. A second­ary analysis was carried out the 2020 National Health and Nutrition Survey on Covid-19, with national representation. A logistic regression model adjusted for the variables of interest was performed. Results. The prevalence was 5.8%. The most reported acts were shouting, insults or threats (4.3%). Most of the women who reported some type of violence in the home had already experienced it before the confinement. Low levels of well-being (OR= 1.96, 95%CI: 1.28,2.99), and living in a home where job was lost due to contingency (OR= 1.96, 95%CI: 1.41,2.73) were associated factors. Conclusions. In care interventions, it is necessary to take into account factors that deepen the vulnerability of women, such as pre-existing violence and loss of employment.

Heart Failure and Disability in Community-Dwelling Older Adults in the United States—1999 to 2018: Data From National Health and Nutrition Examination Survey

2021 ◽  
pp. 105477382110616
Author(s):  
Yaewon Seo ◽  
Jing Wang ◽  
Donelle Barnes ◽  
Surendra Barshikar
Keyword(s):  
Heart Failure ◽  
Older Adults ◽  
Logistic Regression ◽  
National Health ◽  
The United States ◽  
Community Dwelling ◽  
Nutrition Examination Survey ◽  
Mediating Effects ◽  
Health And Nutrition ◽  
Community Dwelling Older Adults

To examine the associations of heart failure (HF) with five domains of disability while controlling for covariates. Subjects with HF and aged ≥ 50 years were selected from the 1999 to 2018 National Health and Nutrition Examination Survey data. Five domains of disability were measured with 19 physical tasks. Logistic regression with adjustment for covariates was conducted. The prevalence of HF in 27,185 adults aged ≥ 50 years was 6.37%. After controlling for demographics and smoking, logistic regression showed that HF was associated with 2.8 to 3.4 times increased odds of all domains of disability compared to adults without HF, but with additional adjustments of covariates, the association was attenuated indicating the mediating effects of covariates. The future study may examine the mediating effects of covariates when intervening difficulties with lower extremity mobility and activities of daily living while considering in community-dwelling older adults with HF.

Home Invasion Homicide Offenders: An Analysis of Subsequent Prison Rule Violations

2015 ◽  
Vol 30 (6) ◽  
pp. 1082-1098 ◽  
Author(s):  
Jonathan Sorensen ◽  
Heidi Bonner ◽  
Shelley Visconte ◽  
Mark Vigen ◽  
S. O. Woods
Keyword(s):  
Older Adults ◽  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Small Body ◽  
Behavior Based

This study adds to the small body of research on home invasion by describing the circumstances surrounding home invasions that resulted in the death of a resident. The 2 most common types of home invasion homicides (HIHs) involved “drug ripoffs” and robberies of older adults for money and property. The study also examined subsequent rule-violating behavior of 132 HIH inmates while incarcerated. The rate of rule violations among HIH inmates was similar to a broader cohort of incarcerated homicide offenders. A logistic regression model identified variation in assaultive prison behavior based on some routine predictors (age, education, race, and prior imprisonment) and 2 associated with the crime (method of killing and age by gender of victims).

P5710Clinical applications of machine learning for prediction of incident atrial fibrillation from the general population: a nationwide cohort study

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
I.-S Kim ◽  
P S Yang ◽  
H T Yu ◽  
T H Kim ◽  
J S Uhm ◽  
...  
Keyword(s):  
Machine Learning ◽  
Atrial Fibrillation ◽  
Logistic Regression ◽  
General Population ◽  
Regression Model ◽  
National Health ◽  
Logistic Regression Model ◽  
Learning System ◽  
Health Examination ◽  
Clinical Variables

Abstract Background To evaluate the ability of machine learning algorithms to predict incident atrial fibrillation (AF) from the general population using health examination items. Methods We included 483,343 subjects who received national health examinations from the Korean National Health Insurance Service-based National Sample Cohort (NHIS-NSC). We trained deep neural network model (DNN) of a deep learning system and decision tree model (DT) of a machine learning system using clinical variables and health examination items (including age, sex, body mass index, history of heart failure, hypertension or diabetes, baseline creatinine, and smoking and alcohol intake habits) to predict incident AF using a training dataset of 341,771 subjects constructed from the NHIS-NSC database. The DNN and DT were validated using an independent test dataset of 141,572 remaining subjects. C-indices of DNN and DT for prediction of incident AF were compared with that of conventional logistic regression model. Results During 1,874,789 person·years (mean±standard-deviation age 47.7±14.4 years, 49.6% male), 3,282 subjects with incident AF were observed. In the validation dataset, 1,139 subjects with incident AF were observed. The c-indices of the DNN and DT for incident AF prediction were 0.828 [0.819–0.836] and 0.835 [0.825–0.844], and were significantly higher (p<0.01) than conventional logistic regression model (c-index=0.789 [0.784–0.794]). Conclusions Application of machine learning using simple clinical variables and health examination items was helpful to predict incident AF in the general population. Prospective study is warranted to construct an individualized precision medicine.

scholarly journals Two Level Logistic Regression Model of Factors Influencing in Early Childbearing and its Consequences on Nutritional Status of Bangladeshi Mothers: Nationally Representative Data

2021 ◽  
Vol 10 ◽  
pp. 97-106
Author(s):  
Khirujjaman Sumon ◽  
Md. Abu Sayem ◽  
Abu Sayed Md. Al Mamun ◽  
Premananda Bharati ◽  
Suman Chakrabarty ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Nutritional Status ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Household Wealth ◽  
Medical Problem ◽  
Early Marriage ◽  
Early Childbearing ◽  
Modifiable Factors ◽  
Study Results

Background: Early marriage and early pregnancy is a social as well as a medical problem in developing countries, which may have an impact on the health and nutritional status of teenage mothers. Therefore, the objective of this study was to determine the influencing factors of early childbearing (ECB) and its consequences on the nutritional status of Bangladeshi mothers. Methods: Data was extracted from Bangladesh Demographic and Health Survey (BDHS-2014). Women who delivered their first baby before the age of 20 years are considered ECB mothers. Nutritional status was measured by body mass index (BMI). Chi-square test and both univariable and multivariable logistic regressions, and z-proportional test were used in this study. Results: The prevalence of ECB among currently non-pregnant mothers in Bangladesh was 83%. The logistic regression model provided the following six risk factors of ECB: (i) living location (division) (p<0.01), (ii) respondents’ education (p<0.05), (iii) husbands’ education (p<0.05), (iv) household wealth quintiles (p<0.01), (v) respondents’ age at first marriage (p<0.05), and (vi) number of family members (p<0.05). Still, 17.6% of mothers were undernourished in Bangladesh; among them, 18.5% and 13.4% were ECB and non- ECB mothers respectively. ECB mothers had a greater risk to be undernourished than non-ECB mothers [COR=1.26, 95% CI: 1.11-1.43; p<0.01]. Conclusions: In this study, some modifiable factors were found as predictors of ECB in Bangladesh. ECB mothers were more prone to become under-nourished. These findings can be considered to reduce the number of ECB mothers in Bangladesh consequently improve their nutritional status.

scholarly journals Binary Logistic Regression Model for Assessing Factors Associated with Nutritional Status of Children Under Five Years among Chepang Community in Siddi, Chitwan, Nepal

2020 ◽  
Vol 4 ◽  
pp. 43-56
Author(s):  
Ravi Kiran Poudel ◽  
Shankar Prasad Khanal
Keyword(s):  
Logistic Regression ◽  
Nutritional Status ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Family Income ◽  
Children Under Five ◽  
Under Five ◽  
Factors Associated ◽  
Number Of Children ◽  
Nutritional Status Of Children

Background: Chepang Community in Nepal has often been characterized as the poorest among Nepal’s poor, and has faced food insecurity at a household level each year. Health status of their children is poor compared to other community children and more so for the age group under the age of five years. Objective: To find the proportion of stunting, wasting and underweight, and to assess the most promising factors associated with the nutritional status of children under five years of Chepang community in Siddi, Chitwan, Nepal. Materials and Methods: A cross-sectional research design was used with 170 samples. To find the association of different factors with the nutritional status of children under 5 years of age (stunting, wasting and underweight, each) binary multiple logistic regression model was used and the goodness of fit of the model was assessed through Hosmer and Lemeshow test. Results: The overall proportion of children under five years of the Chepang community is 60.6%, 30.6% and 44.7% for underweight, stunting and wasting respectively. Among many factors, the mother’s illiteracy (OR: 5.30, 95 % CI: 1.37 to 21.57), external monthly family income (≤ NRs. 2000) (OR: 9.65, 95 % CI: 3.23 to 30.78) and food availability for six months from own land (OR: 4.17, 95 % CI: 1.90 to 17.98) have a significant association with underweight. Similarly, for stunting, female child (OR: 2.19, 95 % CI: 1.02 to 4.70), number of children (more than one) below 14 years at home (OR: 4.15, 95 % CI : 1.77 to 11.04) and external family income (≤ NRs. 2000) (OR: 4.42, 95% CI: 1.01 to 17.06) are significantly associated, and for wasting, a number of children (more than one) below 14 years at home (OR: 4.64, 95 % of CI: 1.71 to 12.60) and external family income (≤ NRs. 2000) (OR: 5.17, 95 % CI: 2.27 to 11.79) are significantly associated. Conclusion: Substantial numbers of children from Chepang community are having the problem of underweight, stunting and wasting. Different demographic and socio-economic variables have been found associated for odds of having low level of nutritional status of children.

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