scholarly journals Weight Change Is Associated with Osteoporosis: A Cross Sectional Study Using the Korean Community Health Survey

2021 ◽  
Vol 18 (24) ◽  
pp. 13368
Author(s):  
Hyo-Geun Choi ◽  
Bong-Cheol Kwon ◽  
Soo-Hwan Yim ◽  
Hyun Youk ◽  
Jung-Woo Lee
Keyword(s):  
Weight Gain ◽  
Confidence Interval ◽  
Community Health ◽  
Health Survey ◽  
Weight Change ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Entire Life ◽  
Community Health Survey

The purpose of the present study was to analyze the associations between weight change and osteoporosis in Korean adults. Methods: Data from the 2016 Korean Community Health Survey were analyzed. A total of 159,741 participants who were ≥40 years of age were included. The histories of osteoporosis were surveyed in two ways: ‘osteoporosis for entire life’ and ‘current osteoporosis’. The participants were grouped into three categories for simplification as follows: ‘Weight L&M’ (Tried to lose weight or Tried to maintain weight), ‘Weight gain’ (Tried to gain weight), and ‘Never tried’. Additionally, we analyzed their relationship with obesity using the BMI. Results: The adjusted ORs for ‘osteoporosis for entire life’ were 1.20 (95% confidence interval [CI] 1.13–1.27) in the Weight L&M group and 1.83 (95% CI 1.64–2.05) in the Weight gain group. The adjusted ORs for ‘current osteoporosis’ were 1.16 (95% CI 1.08–1.25) in the Weight L&M group and 1.77 (95% CI 1.54–2.02) in the Weight gain group. Conclusions: Compared to the Never tried group, being in either the Weight L&M or Weight gain groups showed a significant impact on the possibility of osteoporosis.

scholarly journals Depressive episodes, weight change, and incident diabetes in a Canadian community sample

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Eva Graham ◽  
Norbert Schmitz ◽  
Laura Rosella
Keyword(s):  
Weight Gain ◽  
Community Health ◽  
Population Health ◽  
Health Survey ◽  
Weight Change ◽  
Canadian Community Health Survey ◽  
Incident Diabetes ◽  
National Population Health Survey ◽  
Community Health Survey ◽  
Depressive Episodes

IntroductionDepression has consistently been associated with an increased risk of diabetes in recent meta-analyses. However, depression is a highly heterogeneous construct and people with specific symptoms of depression, such as weight gain and increased sleep, may be at a higher risk of diabetes. Objectives and ApproachThis work will compare incident diabetes in Ontario adults with recent depressive episodes that included symptoms of weight gain, weight loss, or no weight change and in those with no recent depressive episodes. Participants will be drawn from several waves of the Canadian Community Health Survey and the National Population Health Survey. Past 12-month depressive episodes and weight change during most recent or worst episodes was measured using the CIDI/CIDI short form. Time to incident diabetes will be ascertained through linkage with the Ontario Diabetes Database. Cox proportional hazards regression will assess diabetes incidence by depression and weight change characteristics. ResultsThis study will include 106 084 Ontario adults who participated in the Canadian Community Health Survey (2000/2001, 2002, 2003, 2012) and the National Population Health Survey (1996). Follow-up time will range from 4 to 19 years (until March 2017). Study covariates will include demographic and lifestyle factors, comorbidities, and health care use and will be extracted from the surveys above and from administrative health data. The dataset for this study is currently being prepared by the Institute for Clinical Evaluative Sciences (ICES) and the findings of this analysis will be presented at this conference. Conclusion/ImplicationsThe results of this work will provide insight into who, among those with depression, is at highest risk of new-onset diabetes. These results will be relevant to the development of both personalized and population-level diabetes screening and prevention strategies.

scholarly journals Nationwide Cross-Sectional Study of the Association between Knee Pain and Weight Change: Analysis of the Korea National Health and Nutrition Examination Survey (KNHANES 2013–2015)

2021 ◽  
Vol 18 (10) ◽  
pp. 5185
Author(s):  
Sungwoo Choi ◽  
Sangun Nah ◽  
Hae-Dong Jang ◽  
Seung-Hee Cheon ◽  
Ji-Eun Moon ◽  
...  
Keyword(s):  
Weight Gain ◽  
Knee Pain ◽  
National Health ◽  
Weight Change ◽  
Cross Sectional Study ◽  
Nutrition Examination Survey ◽  
Sectional Study ◽  
Change Analysis ◽  
Cross Sectional ◽  
Health And Nutrition

The knee is a hinge joint that provides stability and control, which are essential in daily life. Obesity is a major cause of knee pain and its incidence continues to increase worldwide. In this study, we analyzed Korea National Health and Nutrition Examination Survey data on the general population, and showed an association between weight change and knee pain. A total of 22,948 participants were enrolled; those under the age of 50 and those who did not answer the questions about knee pain or weight change were excluded. In all, 8480 patients were analyzed, 7001 (82.56%) of whom indicated that they did not have knee pain, versus 1479 (17.44%) who did experience knee pain. Multivariate regression analysis was performed to analyze the association between knee pain and weight change. With full adjustment for covariates, weight gain per se (OR 1.37; p = 0.002), and gains of 3–6 kg (OR 1.28; p = 0.029) and ≥6 kg (OR 1.62; p = 0.012), showed significant associations with knee pain. This cross-sectional study confirmed a significant association between knee pain and weight change. Therefore, when evaluating patients with knee pain, it is necessary to evaluate weight gain.

scholarly journals Association between procrastination, white-collar work and obesity in Japanese male workers: a cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e029931 ◽  
Author(s):  
Akihiko Narisada ◽  
Kohta Suzuki
Keyword(s):  
Weight Gain ◽  
White Collar ◽  
Cross Sectional Study ◽  
Blue Collar ◽  
Sectional Study ◽  
Related Factors ◽  
Cross Sectional ◽  
Adult Weight ◽  
Japanese Male ◽  
Male Workers

ObjectiveTo investigate the associations among procrastination (time inconsistency), work environment and obesity-related factors in Japanese male workers.DesignCross-sectional study.SettingData were collected at two work sites of Japanese electronics manufacturing company in 2015.Participants795 full-time male workers in a Japanese electric company, aged 35–64 years, who underwent health checkups in 2015.Main outcome measuresBody mass index (BMI), adult weight change, obesity (BMI ≥25 kg/m2), adult weight gain over 10 kg (AWG10) and metabolic syndrome (MetS). Multivariable linear and logistic regression analyses were performed to assess the associations of procrastination assessed by using a one-item questionnaire and white-collar and blue-collar work with obesity-related factors.ResultsWhite-collar workers with high procrastination levels showed positive associations with BMI (B: 0.75, 95% CI 0.06 to 1.44) and adult weight change (B: 1.77, 95% CI 0.26 to 3.29), and had increased odds of AWG10 (OR: 1.85, 95% CI 1.04 to 3.29) and MetS (OR: 2.29 95% CI 1.18 to 4.44) after adjustment for age, education, work-related factors and lifestyle factors. However, such positive associations were not observed among blue-collar workers.ConclusionsProcrastination and white-collar work might have a joint effect on weight gain during adulthood and consequential obesity.

scholarly journals Inadequate Gestational Weight Gain and Exposure to Second-Hand Smoke during Pregnancy Increase the Risk of Low Birth Weight: A Cross-Sectional Study among Full-Term Infants

2021 ◽  
Vol 18 (3) ◽  
pp. 1068
Author(s):  
Muliana Edi ◽  
Yit Chin ◽  
Fui Woon ◽  
Geeta Appannah ◽  
Poh Lim ◽  
...  
Keyword(s):  
Weight Gain ◽  
Birth Weight ◽  
Pregnant Women ◽  
Medical Records ◽  
Cross Sectional Study ◽  
Second Hand Smoke ◽  
Sectional Study ◽  
Cross Sectional ◽  
Shs Exposure ◽  
At Home

Despite the advancement of the healthcare system, low birth weight (LBW) remains as one of the leading causes of under-five mortality. This cross-sectional study aimed to determine the prevalence of LBW and its associated factors among 483 third trimester pregnant women recruited from six selected public health clinics in the Federal Territory of Kuala Lumpur and the state of Selangor, Malaysia. Pregnant women were interviewed for information on socio-demographic characteristics, smoking behaviour, and second-hand smoke (SHS) exposure at home and in the workplace. Information on the obstetrical history and prenatal care visits history were retrieved from the maternal medical records, while infant’s birth outcomes were retrieved from infant medical records. The prevalence of LBW (<2.5 kg) in infants was 10.4%, with a mean birth weight of 3.0 [standard deviation (SD) 0.4] kg. Results from the multivariable logistic regression model showed that inadequate weight gained during pregnancy [odds ratio (OR) = 2.41, 95% confidence interval (CI) = 1.18–4.90] and exposure to SHS at home (OR = 1.92, 95% CI = 1.03–3.55) were significantly associated with LBW. In conclusion, pregnant women should monitor their rate of weight gain throughout pregnancy and avoid SHS exposure at home to reduce the risk of delivering LBW infants.

Sign in / Sign up

Export Citation Format

Share Document