scholarly journals The association between Internet Usage and Overweight/Obesity modified by Gender: Evidence from a nationally representative survey in Nepal

2020 ◽  
Author(s):  
Juwel Rana ◽  
Md Momin Islam ◽  
John Oldroyd ◽  
Nandeeta Samad ◽  
Rakibul M Islam
Keyword(s):  
Regression Models ◽  
Internet Use ◽  
Wald Test ◽  
Overweight And Obesity ◽  
The Internet ◽  
Logistic Regression Models ◽  
Interaction Terms ◽  
Obesity Interventions ◽  
Nationally Representative ◽  
The Individual

Objective: Using a nationally representative data, we examined the associations between internet use and overweight/obesity in people aged 15-49 years in Nepal, and the extent to which these associations vary by gender. Materials and methods: The study analyzed the nationally representative Nepal Demographic and Health Survey (NDHS) 2016 data, collected between June 2016 and January 2017. The outcome was overweight/obesity. Exposures were internet use (IU) in the last twelve months and internet use frequency (FIU) in the last month. Multivariable ordinal logistic regression models were fitted to estimate the total effects of IU and FIU on overweight/obesity adjusted for minimal sufficient adjustment set of potential confounders. P-difference was extracted using a Wald test for the models with interaction terms. Results: Of the 10,380 participants, 33.9% used internet in the last 12 months, and 13.1 % used less than/at least once in a week, and 17.5% used internet almost every day. The prevalence of overweight/obesity by IU was 38% (95% CI: 35.9%, 40.1%) for male and 44.1% (95% CI: 41.6%, 46.6) for female. The risk of overweight and obesity was significantly 1.55 times higher (aOR: 1.55; 95% CI: 1.40, 1.73; p < 0.001) among those participants who used the internet compared to the individual who did not use the internet in the last 12 months or earlier of the interview. Similar associations were observed when using the augmented measure of exposure-FIU. We observed modification effect of gender in the associations of IU (p-difference<0.001) and FIU (p-difference<0.002) with overweight and obesity in Nepal. Conclusions: Our findings suggest that it is imperative for future overweight/obesity interventions in LMICs, including Nepal, to discourage unnecessary internet use, particularly among males.

scholarly journals Sex Differences in the Association between Internet Usage and Overweight/Obesity: Evidence from a Nationally Representative Survey in Nepal

Sexes ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 132-143
Author(s):  
Juwel Rana ◽  
Md. Momin Islam ◽  
John Oldroyd ◽  
Nandeeta Samad ◽  
Rakibul Islam
Keyword(s):  
Odds Ratio ◽  
Regression Models ◽  
Internet Use ◽  
Adjusted Odds Ratio ◽  
Internet Usage ◽  
The Internet ◽  
Logistic Regression Models ◽  
Biological Sex ◽  
Obesity Interventions ◽  
Nationally Representative

Objective: To examine the associations between internet use and overweight/obesity in people aged 15–49 years in Nepal and the extent to which these associations differ by biological sex. Materials and methods: The study analyzed the nationally representative Nepal Demographic and Health Survey (NDHS) 2016 data. Multivariable ordinal logistic regression models were fitted to estimate the total effects of internet use (IU) in the last 12 months and frequency of internet use (FIU) in the last month on overweight/obesity adjusted for potential confounders. Results: Of the 10,380 participants, the prevalence of overweight/obesity by IU was 38% (95% confidence interval (CI): 35.9%, 40.1%) for males and 44.1% (95% CI: 41.6%, 46.6%) for female. The likelihood of overweight/obesity was significantly higher (adjusted odds ratio (aOR): 1.55; 95% CI: 1.40, 1.73; p < 0.001) among those participants who used the internet compared to the participants who did not use the internet in the last 12 months. Similar associations were observed when using the augmented measure of exposure-FIU in the last month. We observed the modification effect of sex in the associations of IU (p-difference < 0.001) and FIU (p-difference < 0.002) with overweight/obesity in Nepal. Conclusions: Our findings suggest that future overweight/obesity interventions in Nepal discourage unnecessary internet use, particularly among males.

scholarly journals 1156Associations between internet use and overweight/obesity in Nepal: Do gender and urbanity modify these associations?

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Juwel Rana
Keyword(s):  
Internet Use ◽  
Communicable Disease ◽  
Public Health Intervention ◽  
Overweight And Obesity ◽  
Middle Income ◽  
Logistic Regression Models ◽  
Premature Deaths ◽  
Nationally Representative ◽  
Study Participants ◽  
Use Of Internet

Abstract Background Overweight and obesity, a major risk factor for non-communicable disease (NCD), premature deaths, and disability-is exponentially increasing globally, especially in people in low and middle-income countries (LIMCs). This study, thus, examined the associations between internet use and overweight/obesity in Nepal, and the extent to which these associations vary by gender and urbanity. Methods We extracted data available from the nationally representative Nepal Demographic and Health Survey (NDHS) 2016. Body Mass Index (BMI) was the outcome of interest. The use of internet (IU) in the last twelve months and frequency of using internet (IUF) in the last month were the primary exposure of interest. Multivariable ordinal logistic regression models at different levels were fitted to obtain the adjusted effects of exposures. Results Of 10,380 study participants, 38.5% were males, and 61.5% were females. About 33% of the respondents were overweight and obese (SA cut-off). The prevalence of IU was 31.3% among adults in Nepal. Results show that the risk of overweight and obesity-SA was significantly 1.79 (95% CI: 1.56, 2.05; p &lt; 0.001) times higher among respondents who used internet less than/at least once in a week, and 2.16 (95% CI: 1.88, 2.48; p &lt; 0.0001) times higher among respondents who used internet almost every day compared to non-users of internet. These associations significantly varied by gender. Conclusion Higher frequency of internet exposure has detrimental effect on overweight and obesity in Nepal. Key messages Effective public health intervention is essential regarding the detrimental health effects of sedentary lifestyle due to the overuse of internet.

A cross-sectional survey among physicians on Internet use for epilepsy-related information (Preprint)

2019 ◽  
Author(s):  
Francesco Brigo ◽  
Simona Lattanzi ◽  
Giorgia Giussani ◽  
Laura Tassi ◽  
Nicola Pietrafusa ◽  
...  
Keyword(s):  
Internet Use ◽  
The Internet ◽  
Online Information ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Related Information ◽  
Internet Users ◽  
Therapeutic Decisions ◽  
The Individual ◽  
The Web

BACKGROUND The Internet has become one of the most important sources of health information, accessed daily by an ever-growing number of both patients and physicians, seeking medical advice and clinical guidance. A deeper insight into the current use of the Web as source of information on epilepsy would help in clarifying the individual attitude towards this medium by Internet users. OBJECTIVE We investigated views towards the Internet in a sample of Italian healthcare specialists involved in epilepsy field, to explore factors which explained the influence of information found on the internet. METHODS This study was a self-administered survey conducted in a group of members of the Italian Chapter of the International League Against Epilepsy (ILAE) in January 2018. RESULTS 184 questionnaires were analyzed. 97.8% of responders reported to seek online information on epilepsy. The Internet was most frequently searched to obtain new information (69.9%) or to confirm a diagnostic or therapeutic decision (37.3%). The influence of consulting the Internet on clinical practice was associated with registration to social network(s) (OR: 2.94; 95%CI: 1.28-6.76; p=0.011), higher frequency of Internet use (OR: 3.66; 95%CI: 1.56-9.21; p=0.006) and higher confidence in reliability of online information (OR: 2.61; 95%CI: 1.09-6.26; p=0.031). No association was found with age, sex, years in epilepsy practice or easiness to find online information. CONCLUSIONS Internet is frequently used among healthcare professionals involved in the epilepsy to obtain information about this disease. The attitude of being influenced by the Internet for diagnostic and/or therapeutic decisions in epilepsy is independent on age and years of experience in epilepsy, and probably reflects an individual approach towards the Web.

scholarly journals Self-Rated Health Status Based on the Type of Health Insurance: A Socioeconomic Perspective

2021 ◽  
Vol 58 ◽  
pp. 004695802110281
Author(s):  
Minsung Sohn ◽  
Minsoo Jung ◽  
Mankyu Choi
Keyword(s):  
Socioeconomic Status ◽  
Health Insurance ◽  
Health Status ◽  
Regression Models ◽  
Private Health Insurance ◽  
Public And Private ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Interaction Terms ◽  
Healthcare Coverage

To investigate the effects of public and private health insurance on self-rated health (SRH) status within the National Health Insurance (NHI) system based on socioeconomic status in South Korea. The data were obtained from 10 867 respondents of the Korea Health Panel (2008-2011). We used hierarchical panel logistic regression models to assess the SRH status. We also added the interaction terms of socioeconomic status and type of health insurance as moderators. Medical aid (MA) recipients were 2.10 times more likely to have a low SRH status than those who were covered only by the NHI, even though the healthcare utilization was higher. When the interaction terms were included, those not covered by the NHI and had completed elementary school or less were 16.59 times more likely to have a low SRH status than those covered by the NHI and had earned a college degree or higher. Expanding healthcare coverage to reduce the burden of non-payment and unmet use to improve the health status of MA beneficiaries should be considered. Particularly, the vulnerability of less-educated groups should be focused on.

scholarly journals Differences in Sickness Allowance Receipt between Swedish Speakers and Finnish Speakers in Finland

2017 ◽  
Vol 52 ◽  
pp. 43-58 ◽  
Author(s):  
Kaarina S. Reini ◽  
Jan Saarela
Keyword(s):  
Regression Models ◽  
Health Condition ◽  
Logistic Regression Models ◽  
Individual Level ◽  
Objective Health ◽  
Language Groups ◽  
Health Measure ◽  
All Cause Mortality ◽  
The Difference ◽  
The Individual

Previous research has documented lower disability retirement and mortality rates of Swedish speakers as compared with Finnish speakers in Finland. This paper is the first to compare the two language groups with regard to the receipt of sickness allowance, which is an objective health measure that reflects a less severe poor health condition. Register-based data covering the years 1988-2011 are used. We estimate logistic regression models with generalized estimating equations to account for repeated observations at the individual level. We find that Swedish-speaking men have approximately 30 percent lower odds of receiving sickness allowance than Finnish-speaking men, whereas the difference in women is about 15 percent. In correspondence with previous research on all-cause mortality at working ages, we find no language-group difference in sickness allowance receipt in the socially most successful subgroup of the population.

scholarly journals Application of Urinary Polyphenol Biomarkers Measured by Liquid Chromatography Tandem Mass Spectrometry to Assess Polyphenol Intake and Their Association with Overweight and Obesity in Free-Living Healthy Subjects

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Ruiyue Yang ◽  
Helu Xiu ◽  
Qi Zhou ◽  
Liang Sun ◽  
Hongna Mu ◽  
...  
Keyword(s):  
Regression Models ◽  
Large Scale ◽  
Epidemiologic Studies ◽  
Overweight And Obesity ◽  
Targeted Metabolomics ◽  
Free Living ◽  
Logistic Regression Models ◽  
Liquid Chromatography Tandem Mass ◽  
Polyphenol Intake ◽  
Chinese Subjects

Although some polyphenol biomarkers in serum or urine have been identified by untargeted metabolomics and proved to reflect dietary polyphenol intake, only a few of them have been validated in different studies and populations with simple and reliable targeted methods. In the present study, a targeted metabolomics method by LC/MS/MS for the measurement of twenty-two polyphenol biomarkers in urine samples was established and validated to effectively assess the habitual polyphenol intake in free-living healthy Chinese subjects. Multivariate logistic regression models were used to assess relationships of biomarkers with overweight and obesity after adjusting for potential confounders. The levels of urinary polyphenol biomarkers, especially gut microbial metabolites of polyphenols, were inversely associated with overweight and obesity, and this association was more pronounced in the inflammatory groups, suggesting that it is of great importance to maintain polyphenol biomarkers at high levels or intake-sufficient polyphenols in obesity with chronic inflammation than others. The measurement of these biomarkers may offer a valid alternative or complementary addition to self-reported survey for the evaluation of polyphenol intake and investigation into their relationships with chronic disease-related endpoints in large-scale clinical and epidemiologic studies.

scholarly journals NEIGHBORHOOD AGE COMPOSITION AND SELF-RATED HEALTH: FINDINGS FROM A NATIONALLY REPRESENTATIVE STUDY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S64-S64
Author(s):  
Amanda Lehning ◽  
Amanda J Lehning ◽  
Nicole Mattocks ◽  
Kyeongmo Kim ◽  
Richard J Smith
Keyword(s):  
Older Adults ◽  
Regression Models ◽  
Neighborhood Change ◽  
Age Composition ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Representative Study ◽  
Nationally Representative ◽  
Using Data ◽  
Conceptual Work

Abstract Neighborhood age composition is an understudied area. Furthermore, existing empirical and conceptual work is conflicting, with some indicating neighborhoods with more older adults are beneficial and other scholarship suggesting it can be detrimental. Using data from 7,197 older adults from the first wave (2011) of the National Health & Aging Trends Study combined with census tract data from the National Neighborhood Change Database, we examined the association between neighborhood age composition and self-rated health. Findings from logistic regression models indicate those living in neighborhoods with a growing concentration of older residents are significantly more likely to report lower self-rated health compared to those living in a neighborhood in which older adults overall are declining (β=1.51, p &lt; .05) or are becoming diluted by younger residents (β=.66, p &lt; .05). Results have implications for interventions promoting aging in place, particularly for those who may be stuck in place in age-concentrated neighborhoods.

scholarly journals Trends in the Prevalence of Overweight and Obesity and Associated Socioeconomic and Household Environmental Factors among Women in Nepal: Findings from the Nepal Demographic and Health Surveys

Obesities ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 113-135
Author(s):  
Kritika Rana ◽  
Puspa Ghimire ◽  
Romila Chimoriya ◽  
Ritesh Chimoriya
Keyword(s):  
Environmental Factors ◽  
Health Surveys ◽  
Wealth Index ◽  
Educational Status ◽  
Overweight And Obesity ◽  
Demographic And Health Surveys ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Toilet Facility ◽  
Nationally Representative

This study aimed to examine the trends in the prevalence of overweight and obesity and to determine the associated socioeconomic and household environmental factors among women in Nepal. Using nationally representative data from the 1996, 2001, 2006, 2011, and 2016 cross-sectional Nepal Demographic and Health Surveys (NDHSs) (n = 33,507), the prevalence of overweight–obesity (body mass index (BMI) ≥ 25 kg/m2) and obesity (BMI ≥ 30 kg/m2) among women aged 15–49 years were examined. From the latest NDHS 2016, non-pregnant women with recorded anthropometric measurements (n = 6165) were included in the final analyses. Multivariate logistic regression models were used to determine the socioeconomic and household environmental factors associated with BMI ≥ 25 and BMI ≥ 30. Between 1996 and 2016, the prevalence of overweight–obesity increased from 1.8% to 19.7%, while the prevalence of obesity increased from 0.2% to 4.1%. Age, marital status, wealth index, province of residence, type of cooking fuel, and household possessions—refrigerator and bicycle were significantly associated with having overweight–obesity and obesity. Similarly, educational status, religion, type of toilet facility, and household possessions—television and mobile phone were significantly associated with having overweight–obesity. Given the alarming increase in the prevalence of overweight and obesity among Nepalese women, there is an urgent need for interventions addressing these critical socioeconomic and household environmental factors.

scholarly journals The Occurrence of Seizure Clusters in Patients With Epilepsy Is Partly Determined by Epilepsy Severity: A Single-Center Retrospective Observational Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Rui Zhong ◽  
Qingling Chen ◽  
Xinyue Zhang ◽  
Weihong Lin
Keyword(s):  
Logistic Regression ◽  
Observational Study ◽  
Regression Models ◽  
Final Analysis ◽  
Retrospective Observational Study ◽  
Logistic Regression Models ◽  
History Of ◽  
Drug Resistant Epilepsy ◽  
The Individual ◽  
Patients With Epilepsy

Purpose: This retrospective observational study aimed to investigate the self-reported prevalence of seizure clusters (SCs) in patients with epilepsy (PWE) and its relationship with clinical characteristics.Methods: We retrospectively analyzed data from consecutive PWE from our hospital in northeastern China. Data were collected from the databank of a tertiary epilepsy center. Logistic regression models were employed to investigate the relationships between the individual patient demographic/clinical variables and the occurrence of SC.Results: In total, 606 consecutive PWE were included in the final analysis, and 268 (44.2%) patients experienced at least one seizure cluster. In multivariate logistic regression models, age (OR: 1.014; 95% CI: 1.002–1.027; p = 0.02), seizure frequency (OR: 2.08; 95% CI: 1.555–2.783; p &lt; 0.001), multiple seizure types (OR: 5.111; 95% CI: 1.737–15.043; p = 0.003), number of current anti-seizure medications (ASM) (OR: 1.533; 95% CI: 1.15–2.042; p = 0.004), drug-resistant epilepsy (OR: 1.987; 95% CI: 1.159–3.407; p = 0.013), and a history of status epilepticus (OR: 1.903; 95% CI: 1.24–2.922; p = 0.003) were independent variables associated with a history of SC in PWE.Conclusion: Seizure clusters (SCs) are common occurrences at our study center. The occurrence of SC in individuals with epilepsy, to some extent, is determined by the epilepsy severity.

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