Associations between snus use, body mass index and general health in a cross-sectional population-based sample of women.

2017 ◽  
Vol 46 (5) ◽  
pp. 580-587 ◽  
Author(s):  
Ingeborg Lund ◽  
Elisabeth Kvaavik ◽  
Mari Nygård ◽  
Bo T. Hansen
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
General Health ◽  
Age Groups ◽  
Population Based ◽  
Cross Sectional ◽  
Lower Likelihood ◽  
Low Bmi ◽  
Nationally Representative ◽  
Never Smokers

Background: In Norway, snus use among women has increased substantially over the last decade, particularly in younger age groups. Snus use is associated with increased morbidity among men, but few studies have addressed health consequences of snus use among women. Aim: To investigate the associations between body mass index (BMI) and female snus use, and between self-rated general health and female snus use. Methods: A nationally representative net sample of 13,756 women in Norway, aged 18–45 years, participated in a survey on lifestyle and health. Ordinal logistic regression was applied to address associations between snus use and BMI/general health, adjusting for age and lifestyle factors. Results: Compared to never users of snus, daily snus users had a lower likelihood of high BMI (OR: 0.83, 95% CI: 0.68–1.00), a higher likelihood of low BMI (OR: 1.63, 95% CI: 1.14–2.33), and a higher likelihood of poor/fair health (OR: 1.43, 95% CI: 1.08–1.90). Former and occasional snus users did not differ from never users in terms of BMI or general health in multiply adjusted models. Daily smokers had the highest likelihood of reporting poor/fair health (OR: 2.18, 95% CI: 1.8–2.63) relative to never smokers. Conclusions: Daily female snus use was associated with a lower likelihood of being overweight, and a higher likelihood of being underweight. Moreover, daily snus use was associated with a higher likelihood of worse general health. Former and occasional female snus use was not associated with BMI or general health.

scholarly journals Geographic and Age Variations in Low Body Mass Index Among Community-Dwelling Older People in Xinjiang: A Cross-Sectional Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Jinling Liu ◽  
Qun Qu ◽  
Saiyare Xuekelati ◽  
Xue Bai ◽  
Li Wang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Older People ◽  
Body Mass ◽  
Age Groups ◽  
Community Dwelling ◽  
Cross Sectional ◽  
Northern Xinjiang ◽  
Age Variations ◽  
Low Bmi ◽  
Community Dwelling Older People

Background: Studies have shown an association between undernutrition and increased adverse outcome, as well as substantial geographic and age variations in undernutrition. Body mass index (BMI), a core indicator of undernutrition, is easy to measure and reflects the nutritional and health status of the human body. It is a simple and suitable tool for epidemiological investigations in large sample populations. Herein, we provide the first description of geographic and age variations in the prevalence of low BMI among community-dwelling older people in Xinjiang.Methods: From January 2019 to December 2019, using a multi-stage random sampling method, we conducted a cross-sectional epidemiological survey of the community-dwelling older people in Xinjiang at different latitudes. Of the 87,000 participants, the statistical analyses included 86,514 participants with complete data.Results: In Xinjiang, the prevalence of low BMI was 7.7% in the community-dwelling older people. The BMI gradually decreased with increasing age and gradually increased with latitude. The prevalence of low BMI in northern Xinjiang was 5.3%, which was significantly lower than that in eastern (7.7%) and southern (9.3%) Xinjiang. In the 60–69-, 70–79-, 80–89-, and ≥90-year age groups, the prevalence rates of low BMI were 5.8, 7.9, 10.0, and 13.9%, respectively. After adjusting for confounding factors (sex, ethnic group, hypertension, diabetes, hyperlipemia, smoking, and drinking), multivariate logistic regression analysis showed that the odds ratios (95% CI) for low BMI in eastern and southern Xinjiang were 1.165 (1.056–1.285) and 1.400 (1.274–1.538), respectively, compared to northern Xinjiang. The adjusted odds ratios (95% CI) for low BMI in the 70–79-, 80–89-, and ≥90-year age groups were 1.511 (1.39–1.635), 2.233 (2.030–2.456), and 3.003 (2.439–3.696), respectively, compared to the 60–69-year age group.Conclusion: The results of this study revealed geographic and age variations in the prevalence of low BMI in the community-dwelling older people in Xinjiang. The prevalence of low BMI gradually increased as the latitude decreased and as age increased.

scholarly journals Validation and calibration of self-reported weight and height from individuals in the city of São Paulo

2014 ◽  
Vol 17 (3) ◽  
pp. 735-746 ◽  
Author(s):  
Aline Martins de Carvalho ◽  
Lívia Gonçalves Piovezan ◽  
Soraya Sant´Ana de Castro Selem ◽  
Regina Mara Fisberg ◽  
Dirce Maria Lobo Marchioni
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Intraclass Correlation ◽  
Age Groups ◽  
Population Based ◽  
Sao Paulo ◽  
São Paulo ◽  
Cross Sectional ◽  
Body Mass Index Data ◽  
Calibration Coefficients

Objective: To evaluate the validity of self-reported weight and height measurements among residents of São Paulo, as well as the accuracy of these measurements for determining nutritional status, and to present calibration coefficients. Methods: A cross-sectional, population-based study was performed with a sample of 299 adolescents, adults and elderly of both genders, in São Paulo in 2008. Bland-Altman difference plot and intraclass correlation were used to determine agreement between measured and self-reported parameters. Sensitivity and specificity were assessed for overweight, and calibration coefficients were estimated for correction of weight, height and body mass index data. Results: The intraclass correlation was high between self-reported and measured parameters for weight (r > 0,94) and body mass index (BMI) (r > 0,85). The agreement between measured and self-reported weight, height and BMI was good. Sensibility was > 91% and specificity was > 83%. Conclusion: Self-reported weight measurements can substitute measured parameters in this population, in both genders and in the age groups studied. Self-reported height measurements should be used with caution. Calibration coefficients can be used to adjust self-reported measurements.

scholarly journals Is neighbourhood walkability related to body mass index among different age groups? A cross-sectional study of Canadian urban areas

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e032475 ◽  
Author(s):  
Justin Thielman ◽  
Ray Copes ◽  
Laura C Rosella ◽  
Maria Chiu ◽  
Heather Manson
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Rural Areas ◽  
Urban Areas ◽  
Age Groups ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Neighbourhood Walkability ◽  
Nationally Representative ◽  
Objectively Measured

BackgroundStudies of neighbourhood walkability and body mass index (BMI) have shown mixed results, possibly due to biases from self-reported outcomes or differential effects across age groups. Our objective was to examine relationships between walkability and objectively measured BMI in various age groups, in a nationally representative population.MethodsThe study population came from the 2007–2011 Canadian Health Measures Survey, a cross-sectional survey of a nationally representative Canadian population. In our covariate-adjusted analyses, we included survey respondents aged 6–79 who were not pregnant, did not live in rural areas, were not missing data and were not thin/underweight. We used objectively measured height and weight to calculate BMI among adults aged 18–79 and zBMI among children aged 6–17. We categorised respondents into walkability quintiles based on their residential Street Smart Walk Score values. We performed linear regression to estimate differences between walkability quintiles in BMI and zBMI. We analysed adults and children overall; age subgroups 6–11, 12–17, 18–29, 30–44, 45–64 and 65–79; and sex subgroups.ResultsThe covariate-adjusted models included 9265 respondents overall. After adjustment, differences between walkability quintiles in BMI and zBMI were small and not statistically significant, except for males aged 6–17 in the second-highest walkability quintile who had significantly lower zBMIs than those in the lowest quintile.ConclusionAfter accounting for confounding factors, we did not find evidence of a relationship between walkability and BMI in children or adults overall, or in any age subgroup with sexes combined. However, post hoc analysis by sex suggested males aged 6–17 in more walkable areas may have lower zBMIs.

scholarly journals Prevalence of Obesity and the Relationship between the Body Mass Index and Body Fat: Cross-Sectional, Population-Based Data

PLoS ONE ◽  
2012 ◽  
Vol 7 (1) ◽  
pp. e29580 ◽  
Author(s):  
Julie A. Pasco ◽  
Geoffrey C. Nicholson ◽  
Sharon L. Brennan ◽  
Mark A. Kotowicz
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Population Based ◽  
The Body ◽  
Cross Sectional ◽  
Prevalence Of Obesity ◽  
The Relationship

scholarly journals Which body mass index is best associated with risk of diabetes mellitus and hypertension in a Japanese-Brazilian population?

2007 ◽  
Vol 23 (2) ◽  
pp. 297-304 ◽  
Author(s):  
Rosana Farah Simony ◽  
Suely Godoy Agostinho Gimeno ◽  
Sandra Roberta Gouveia Ferreira ◽  
Laércio Joel Franco
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Body Mass ◽  
Sensitivity And Specificity ◽  
Population Based ◽  
Cross Sectional Study ◽  
Odds Ratios ◽  
Cross Sectional ◽  
Japanese Brazilians ◽  
The Impact

The objective of this study was to evaluate the impact of different body mass index (BMI) ranges associated with the risk of diabetes and hypertension in Japanese-Brazilians. This cross-sectional study was based on data from 1,330 Japanese-Brazilians > 30 years of age who participated in a population-based survey on the prevalence of diabetes mellitus and associated diseases. Glucose tolerance status was classified according to WHO criteria and blood pressure levels according to the VI-JNC. Odds ratios for diabetes and hypertension were calculated for different BMI ranges; for different BMIs, sensitivity and specificity for percentiles 25, 50, 75, 90 and 95 were obtained. Increased odds ratios for diabetes mellitus and hypertension were observed with BMI values > 25kg/m². The 50th percentile corresponded to the highest sensitivity and specificity for the identification of risk for both diseases. Our results suggest that BMI values proposed by WHO should also be useful for this group of Japanese descendants in the assessment of risk for DM and hypertension.

Association of Body Mass Index in Adolescence and Young Adulthood and Long-term Risk of Multiple Sclerosis: A Population-Based Study

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012957
Author(s):  
Rune A. Aa. Høglund ◽  
Haakon E. Meyer ◽  
Hein Stigum ◽  
Øivind Torkildsen ◽  
Nina Grytten ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Body Mass Index ◽  
Body Mass ◽  
Screening Program ◽  
Age Groups ◽  
Population Level ◽  
Population Based ◽  
Tuberculosis Screening ◽  
Objectively Measured

Objective:To prospectively investigate the long-term relationship between body mass index (BMI) in adolescents and young adults, and risk for multiple sclerosis (MS) at population level.Methods:We utilized data from the population-based compulsory Norwegian tuberculosis screening program during 1963-1975, including objectively measured height and weight from approximately 85% of all eligible citizens. This was combined with data from the Norwegian MS registry and biobank up to November 2020. BMI was standardized according to age and sex, and risk for MS was calculated using Cox proportional hazard models.Results:During 30,829,506 years of follow-up we found 1,409 cases of MS among 648,734 participants in eligible age groups (14-34 years). Overall, obesity was associated with increased MS risk (HR 1.53 [95% CI 1.25-1.88]), and the risk was similar in men (HR 1.4 [95% CI 0.95-2.06] and women (HR 1.59 [95% CI 1.25-2.02]). Risk was highest for the youngest age groups (age 14-16: HR 1.73 [95% CI 1.19-2.53], 17-19: HR 1.61 [95% CI 1.08-2.39] and 20-24: HR 1.56 [95% CI 1.04-2.36]) and was no longer present for those older than 30 years.Conclusion:High BMI in individuals aged 14 to 24 years was associated with increased MS-risk later in life, in both males and females.

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