Body mass index and depressive symptoms in primary care settings: examining the moderating roles of smoking status, alcohol consumption and vigorous exercise

2013 ◽  
Vol 4 (1) ◽  
pp. 21-29
Author(s):  
S. A. Hooker ◽  
K. L. MacGregor ◽  
J. S. Funderburk ◽  
S. A. Maisto
Author(s):  
Sigrun A J Schmidt ◽  
Henrik Toft Sørensen ◽  
Sinéad M Langan ◽  
Mogens Vestergaard

Abstract The role of lifestyle in development of herpes zoster remains unclear. We examined whether smoking status, alcohol consumption, body mass index, or physical activity were associated with zoster risk. We followed a population-based cohort of 101,894 respondents to the 2010 Danish National Health Survey (baseline, May 1, 2010) until zoster diagnosis, death, emigration, or July 1, 2014, whichever occurred first. We computed hazard ratios for zoster associated with each exposure, using Cox regression with age as the time scale and adjusting for potential confounders. Compared with never smokers, hazards for zoster were increased in former smokers (1.17, 95% confidence interval (CI): 1.06, 1.30), but not in current smokers (1.00, 95% CI: 0.89, 1.13). Compared with low-risk alcohol consumption, neither intermediate-risk (0.95, 95% CI: 0.84, 1.07) nor high-risk alcohol consumption (0.99, 95% CI: 0.85, 1.15) was associated with zoster. We also found no increased hazard associated with weekly binge drinking versus not (0.93, 95% CI: 0.77, 1.11). Risk of zoster varied little by body mass index (referent = normal weight) and physical activity levels (referent = light level), with hazard ratios between 0.96 and 1.08. We observed no dose-response association between the exposures and zoster. The examined lifestyle and anthropometric factors thus were not risk factors for zoster.


2018 ◽  
Author(s):  
Daniel L McCartney ◽  
Anna J Stevenson ◽  
Stuart J Ritchie ◽  
Rosie M Walker ◽  
Qian Zhang ◽  
...  

AbstractBackgroundGenome-wide DNA methylation (DNAm) profiling has allowed for the development of molecular predictors for a multitude of traits and diseases. Such predictors may be more accurate than the self-reported phenotypes, and could have clinical applications. Here, penalised regression models were used to develop DNAm predictors for body mass index (BMI), smoking status, alcohol consumption, and educational attainment in a cohort of 5,100 individuals. Using an independent test cohort comprising 906 individuals, the proportion of phenotypic variance explained in each trait was examined for DNAm-based and genetic predictors. Receiver operator characteristic curves were generated to investigate the predictive performance of DNAm-based predictors, using dichotomised phenotypes. The relationship between DNAm scores and all-cause mortality (n = 214 events) was assessed via Cox proportional-hazards models.ResultsThe DNAm-based predictors explained different proportions of the phenotypic variance for BMI (12%), smoking (60%), alcohol consumption (12%) and education (3%). The combined genetic and DNAm predictors explained 20% of the variance in BMI, 61% in smoking, 13% in alcohol consumption, and 6% in education. DNAm predictors for smoking, alcohol, and education but not BMI predicted mortality in univariate models. The predictors showed moderate discrimination of obesity (AUC=0.67) and alcohol consumption (AUC=0.75), and excellent discrimination of current smoking status (AUC=0.98). There was poorer discrimination of college-educated individuals (AUC=0.59).ConclusionsDNAm predictors correlate with lifestyle factors that are associated with health and mortality. They may supplement DNAm-based predictors of age to identify the lifestyle profiles of individuals and predict disease risk.List of abbreviationsDNAmDNA methylationBMIBody mass indexAUCArea under the curveCpGCytosine phosphate Guanine dinucleotideEWASEpigenome-wide association studyGS:SFHSGeneration Scotland: The Scottish family health studyLBC1936Lothian birth cohort 1936LASSOLeast absolute shrinkage and selector operatorHRHazard ratioCIConfidence intervalSTRADLStratifying resilience and depression longitudinally


2005 ◽  
Vol 22 (6) ◽  
pp. 604-607 ◽  
Author(s):  
NH Chavannes ◽  
MJH Huibers ◽  
TRJ Schermer ◽  
A Hendriks ◽  
C van Weel ◽  
...  

Children ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 233
Author(s):  
María Pineros-Leano ◽  
Jaclyn A. Saltzman ◽  
Janet M. Liechty ◽  
Salma Musaad ◽  
Liliana Aguayo

Children of mothers with depressive symptoms are at a higher risk for psychosocial, behavioral, and developmental problems. However, the effects of maternal depression on children’s physical growth are not well understood. To address the gaps in the literature, this study examined the association between maternal depressive symptoms, breastfeeding behaviors, and child weight outcomes. Data from 204 mother–child dyads who participated in the STRONG Kids 1 Study were used. Mothers and children were assessed twice when the children were 3 and 4 years old. Height and weight measurements of children and mothers were collected by trained researchers during both assessments. Multiple linear regression and analysis of covariance tests were used to examine the associations between maternal depressive symptoms, breastfeeding, and age and sex-adjusted child body mass index percentile. Recurrent maternal depressive symptoms when the child was 3 and 4 years old were not associated with child body mass index percentiles (BMI-P) at age 4. Mothers who breastfed for at least 6 months had significantly lower depressive symptoms when their children were 3 years of age, but the differences did not persist at age 4. In this community sample, maternal depressive symptoms were not associated with child BMI-P, regardless of breastfeeding duration.


2021 ◽  
pp. 247412642198957
Author(s):  
Halward M.J. Blegen ◽  
Grant A. Justin ◽  
Bradley A. Bishop ◽  
Anthony R. Cox ◽  
James K. Aden ◽  
...  

Purpose: This work reports the association of obstructive sleep apnea (OSA) and cotton-wool spots (CWS) seen in patients with nonproliferative diabetic retinopathy (DR). Methods: A random sample of patients diagnosed with DR between January 1, 2015 and December 31, 2018, were selected from medical-billing codes. Dilated funduscopic examination findings and medical history were analyzed by reviewing medical records. Results: CWS were present in 12 of 118 patients without OSA, compared with 11 of 32 patients with OSA (10.2% vs 34.4%, respectively; P = .002). OSA was more common in men (68.8%, P = .03) and associated with a higher body mass index (30.0 ± 5.0 without OSA vs 33.6 ± 5.5 with OSA, P < .001). When comparing those with and without OSA, there was no association with age; glycated hemoglobin A1c; stage of DR; insulin dependence; presence of diabetic macular edema; smoking status; or a history of hypertension, hyperlipidemia, cardiovascular disease, or other breathing disorder. Conclusions: The presence of OSA is associated with CWS in patients with DR, as well as male sex and a higher body mass index. Further research is needed to determine the ophthalmologist’s role in the timely referral of patients with CWS for OSA evaluation.


2009 ◽  
Vol 90 (5) ◽  
pp. 1288-1294 ◽  
Author(s):  
Ellen A Nohr ◽  
Michael Vaeth ◽  
Jennifer L Baker ◽  
Thorkild IA Sørensen ◽  
Jorn Olsen ◽  
...  

2016 ◽  
Vol 23 (1) ◽  
pp. 48-58 ◽  
Author(s):  
Peter Joseph Dearborn ◽  
Michael A Robbins ◽  
Merrill F Elias

Several investigators have observed lowered risk of depression among obese older adults, coining the “jolly fat” hypothesis. We examined this hypothesis using baseline and a 5-year follow-up body mass index, depressive symptoms, and covariates from 638 community-based older adults. High objectively measured body mass index and functional limitations predicted increased future depressive symptoms. However, symptoms did not predict future body mass index. Self-reported body mass index showed similar associations despite underestimating obesity prevalence. Results did not differ on the basis of gender. Results for this study, the first longitudinal reciprocal risk analysis between objectively measured body mass index and depressive symptoms among older adults, do not support the “jolly fat” hypothesis.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Xintong He ◽  
Natalie Daya ◽  
Casey M. Rebholz ◽  
Mariana Lazo ◽  
Elizabeth Selvin

Background: Moderate alcohol consumption has been reported to be associated with lower risk for diabetes with some studies showing a U-shaped association. Whether and how the association might differ by gender or obesity status is controversial. Objective: To evaluate the prospective association between alcohol consumption and the long-term risk of diabetes in the Atherosclerosis Risk in Communities (ARIC) Study. Methods: A prospective analysis of 11,263 ARIC participants without prevalent diabetes (55% women, 81%white, mean age 54 years). Alcohol consumption was assessed at visit 1 (1987-1989). Participants were followed-up for incident diabetes defined by fasting glucose more than 126 mg/dL, non-fasting glucose more than 200 mg/dL, self-reported diagnosis of diabetes or use of diabetic medication. We used Cox models to estimate hazard ratios of diabetes risk by drinking categories in women and men, respectively. Results: During a median follow-up of 21 years, there were 3518 incident diabetes cases. In the fully adjusted model, compared to never drinkers, among women, 7-14 drinks/week was associated with a significantly lower risk of diabetes; whereas among men, 14-21 drinks/week was associated with a significantly lower risk ( Table ). There was a significant interaction between drinking categories and smoking status or between drinking categories and body mass index in women. Among women, a U-shaped association was mainly present among non-smokers, and significant decreasing risk is only found among normal-weight and overweight participants, but not obese participants. Conclusion: Low levels of alcohol intake (1-2 drinks per day for women and 2-3 drinks per day for men) are inversely associated with diabetes risk. The association is modified by smoking and body mass index in women.


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