The Relationship Between Body Composition, Glucose Metabolism, and Subtypes of Depressive Symptoms – Findings From the Helsinki Birth Cohort Study

Abstract Background There is an existing link between two of the most common diseases, obesity and depression. These are both of great public health concern, but little is known about the relationships between the subtypes of these conditions. We hypothesized that non-melancholic depressive symptoms have a stronger relationship with both body composition (lean mass and fat mass) and dysfunctional glucose metabolism than melancholic depression. Methods For this cross-sectional study 1 510 participants from the Helsinki Birth Cohort Study had their body composition evaluated as lean mass and fat mass (Lean Mass Index + Fat Mass Index = Body Mass Index). Participants were evaluated for depressive symptoms utilizing the Beck Depression Inventory, and had laboratory assessments including an oral glucose tolerance test. Results Higher than average Fat Mass Index (kg/m2) was associated with a higher percentage of participants scoring in the depressive range of the Beck Depression Inventory (p=0.048). Higher Fat Mass Index was associated with a higher likelihood of having depressive symptoms (OR per 1-SD Fat Mass Index=1.37, 95% CI: 1.13-1.65), whereas higher Lean Mass Index (kg/m2) was associated with a lower likelihood of having depressive symptoms (OR per 1-SD Lean Mass Index=0.76, 95% CI: 0.64-0.91). Participants with an above average Fat Mass Index more frequently had non-melancholic depressive symptoms (p=0.008) regardless of Lean Mass Index levels (p=0.38). There was no difference between the body composition groups in the likelihood of having melancholic depressive symptoms (Fat Mass Index p=0.83, Lean Mass Index p=0.93). The non-melancholic group had higher Fat Mass Index than either of the other groups (p<0.001), and a higher 2-hour glucose concentration than the non-depressed group (p=0.005). Conclusion As hypothesized, non-melancholic depressive symptoms are most closely related to high fat mass index and dysfunctional glucose metabolism.

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The influence of birth order and number of siblings on adolescent body composition: evidence from a Brazilian birth cohort study

British Journal Of Nutrition ◽

10.1017/s0007114515001488 ◽

2015 ◽

Vol 114 (1) ◽

pp. 118-125 ◽

Cited By ~ 9

Author(s):

Fernanda de Oliveira Meller ◽

M. C. F. Assunção ◽

A. A. Schäfer ◽

C. L. de Mola ◽

A. J. D. Barros ◽

...

Keyword(s):

Body Composition ◽

Cohort Study ◽

Birth Order ◽

Birth Cohort ◽

Fat Mass ◽

Perinatal Period ◽

Fat Free Mass ◽

Birth Cohort Study ◽

Fat Mass Index ◽

Air Displacement Plethysmography

The aim of this study was to estimate the association between birth order and number of siblings with body composition in adolescents. Data are from a birth cohort study conducted in Pelotas, Brazil. At the age of 18 years, 4563 adolescents were located, of whom 4106 were interviewed (follow-up rate 81·3 %). Of these, 3974 had complete data and were thus included in our analysis. The variables used in the analysis were measured during the perinatal period, or at 11, 15 and/or 18 years of age. Body composition at 18 years was collected by air displacement plethysmography (BOD POD®). Crude and adjusted analyses of the association between birth order and number of siblings with body composition were performed using linear regression. All analyses were stratified by the adolescent sex. The means of BMI, fat mass index and fat-free mass index among adolescents were 23·4 (sd 4·5) kg/m2, 6·1 (sd 3·9) kg/m2 and 17·3 (sd 2·5) kg/m2, respectively. In adjusted models, the total siblings remained inversely associated with fat mass index (β = − 0·37 z-scores, 95 % CI − 0·52, − 0·23) and BMI in boys (β = − 0·39 z-scores, 95 % CI − 0·55, − 0·22). Fat-free mass index was related to the total siblings in girls (β = 0·06 z-scores, 95 % CI − 0·04, 0·17). This research has found that number of total siblings, and not birth order, is related to the fat mass index, fat-free mass index and BMI in adolescents. It suggests the need for early prevention of obesity or fat mass accumulation in only children.

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Associations of fat mass and fat-free mass accretion in infancy with body composition and cardiometabolic risk markers at 5 years: The Ethiopian iABC birth cohort study

PLoS Medicine ◽

10.1371/journal.pmed.1002888 ◽

2019 ◽

Vol 16 (8) ◽

pp. e1002888 ◽

Cited By ~ 4

Author(s):

Rasmus Wibaek ◽

Dorte Vistisen ◽

Tsinuel Girma ◽

Bitiya Admassu ◽

Mubarek Abera ◽

...

Keyword(s):

Body Composition ◽

Cohort Study ◽

Birth Cohort ◽

Fat Mass ◽

Cardiometabolic Risk ◽

Fat Free Mass ◽

Birth Cohort Study ◽

Risk Markers ◽

Cardiometabolic Risk Markers

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Trajectories of maternal depressive symptoms and offspring’s risk behavior in early adolescence: data from the 2004 Pelotas birth cohort study

BMC Psychiatry ◽

10.1186/s12888-020-03026-9 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Ana Beatriz Bozzini ◽

Jessica Mayumi Maruyama ◽

Tiago N. Munhoz ◽

Aluísio J. D. Barros ◽

Fernando C. Barros ◽

...

Keyword(s):

Cohort Study ◽

Depressive Symptoms ◽

Alcohol Use ◽

Maternal Depression ◽

Risk Behavior ◽

Birth Cohort ◽

Depression Scale ◽

Self Report ◽

Birth Cohort Study ◽

Maternal Depressive Symptoms

Abstract Background This longitudinal study explored the relationship between trajectories of maternal depressive symptoms and offspring’s risk behavior in adolescence contributing to an extremely scarce literature about the impacts of maternal depression trajectories on offspring risk behaviors. Methods We included 3437 11-year-old adolescents from the 2004 Pelotas Birth Cohort Study. Trajectories of maternal depressive symptoms were constructed using Edinburgh Postnatal Depression Scale (EDPS) from age 3 months to 11 years. We identified five trajectories of maternal depressive symptoms: “low” “moderate low”, “increasing”, “decreasing”, and “chronic high”. The following adolescent outcomes were identified via self-report questionnaire and analyzed as binary outcome –yes/no: involvement in fights and alcohol use at age 11. We used logistic regression models to examine the effects of trajectories of maternal depressive symptoms on offspring’s risk behavior adjusting for potential confounding variable. Results Alcohol use and/or abuse as well as involvement in fights during adolescence, were not significantly associated with any specific trajectory of maternal depressive symptoms neither in the crude nor in the adjusted analyses. Conclusion Alcohol use and involvement in fights at age 11 were not associated with any specific trajectory of maternal depression.

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Changes in testosterone related to body composition in late midlife: Findings from the 1946 British birth cohort study

Obesity ◽

10.1002/oby.21092 ◽

2015 ◽

Vol 23 (7) ◽

pp. 1486-1492 ◽

Cited By ~ 20

Author(s):

David Bann ◽

Frederick C. W. Wu ◽

Brian Keevil ◽

Hany Lashen ◽

Judith Adams ◽

...

Keyword(s):

Body Composition ◽

Cohort Study ◽

Birth Cohort ◽

Birth Cohort Study ◽

Late Midlife

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The role of triiodothyronine (T3) and T3/free thyroxine (fT4) on glucose metabolism during pregnancy: the Ma’anshan Birth Cohort Study

Endocrine Connections ◽

10.1530/ec-21-0088 ◽

2021 ◽

Author(s):

Beibei Zhu ◽

Yan Han ◽

Fen Deng ◽

Kun Huang ◽

Shuangqin Yan ◽

...

Keyword(s):

Cohort Study ◽

Glucose Metabolism ◽

Birth Cohort ◽

Goodness Of Fit ◽

Prediction Models ◽

First Trimester ◽

Repeated Measurements ◽

Free Thyroxine ◽

Birth Cohort Study ◽

Goodness Of Fit Test

Objectives: Compared with other thyroid markers, fewer studies explored the associations between triiodothyronine (T3) and T3/free thyroxine (fT4) and glucose abnormality during pregnancy. Thus, we aimed to: (1) examine the associations of T3 and T3/fT4 with glucose metabolism indicators; and (2) evaluate, in the first trimester, the performance of the two markers as predictors of gestational diabetes mellitus (GDM) risk. Methods: Longitudinal data from 2723 individuals, consisting of three repeated measurements of T3 and fT4, from the Man’anshan birth cohort study (MABC), China, were analyzed using a time-specific generalized estimating equation (GEE). The receiver operating characteristic curve (ROC) - area under the curve (AUC) and Hosmer-Lemeshow goodness of fit test were used to assess the discrimination and calibration of prediction models. Results: T3 and T3/fT4 presented stable associations with the level of fasting glucose, glucose at 1h/2h across pregnancy. T3 and T3/fT4 in both the first and second trimesters were positively associated with the risk of GDM, with the larger magnitude of association observed in the second trimester (Odds ratio (OR) = 2.50, 95%CI = 1.95, 3.21 for T3; OR = 1.09, 95%CI = 1.07, 1.12 for T3/fT4). T3 ((AUC) = 0.726, 95%CI = 0.698, 0.754) and T3/fT4 (AUC = 0.724, 95%CI = 0.696, 0.753) in the first trimester could improve the performance of the predicting model; however, the overall performance is not good. Conclusion: Significant and stable associations of T3, T3/fT4 and glucose metabolism indicators were documented. Both T3 and T3/fT4 improve the performance of the GDM predictive model.

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Sleep Duration Trajectories and Body Composition in Adolescents: Prospective Birth Cohort Study

PLoS ONE ◽

10.1371/journal.pone.0152348 ◽

2016 ◽

Vol 11 (3) ◽

pp. e0152348 ◽

Cited By ~ 9

Author(s):

Antônio Augusto Schäfer ◽

Marlos Rodrigues Domingues ◽

Darren Lawrence Dahly ◽

Fernanda Oliveira Meller ◽

Helen Gonçalves ◽

...

Keyword(s):

Body Composition ◽

Cohort Study ◽

Birth Cohort ◽

Sleep Duration ◽

Birth Cohort Study ◽

Prospective Birth Cohort ◽

Prospective Birth Cohort Study

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Body composition and changes in health-related quality of life in older age: a 10-year follow-up of the Helsinki Birth Cohort Study

Quality of Life Research ◽

10.1007/s11136-020-02453-1 ◽

2020 ◽

Vol 29 (8) ◽

pp. 2039-2050

Author(s):

Tuija M. Mikkola ◽

Hannu Kautiainen ◽

Mikaela B. von Bonsdorff ◽

Minna K. Salonen ◽

Niko Wasenius ◽

...

Keyword(s):

Quality Of Life ◽

Body Composition ◽

Cohort Study ◽

Birth Cohort ◽

Birth Cohort Study ◽

Health Related Quality ◽

Related Quality ◽

Health Related

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Longitudinal changes in body composition and waist circumference by self-reported levels of physical activity in leisure among adolescents: the Tromsø study, Fit Futures

BMC Sports Science Medicine and Rehabilitation ◽

10.1186/s13102-019-0150-8 ◽

2019 ◽

Vol 11 (1) ◽

Cited By ~ 1

Author(s):

Nils Abel Aars ◽

Bjarne K. Jacobsen ◽

Bente Morseth ◽

Nina Emaus ◽

Sameline Grimsgaard

Keyword(s):

Physical Activity ◽

Body Composition ◽

Waist Circumference ◽

Fat Mass ◽

Lean Mass ◽

Leisure Time ◽

Leisure Time Physical Activity ◽

First Year ◽

Fat Mass Index

Abstract Background It is not clear how physical activity affects body composition in adolescents. Physical activity levels are often reduced during this period, and the relative proportion of body fat mass and lean mass undergo natural changes in growing adolescents. We aimed to examine whether self-reported physical activity in leisure time at baseline or change in activity during follow-up affect changes in four measures of body composition; body mass index (kg/m2), waist circumference, fat mass index (fat mass in kg/m2) and lean mass index (lean mass in kg/m2). Methods We used data from the Tromsø Study Fit Futures, which invited all first year students in upper secondary high school in two municipalities in northern Norway in 2010–2011. They were reexamined in 2012–2013. Longitudinal data was available for 292 boys and 354 girls. We used multiple linear regression analyses to assess whether self-reported level of physical activity in leisure time at baseline predicted changes in body composition, and analysis of covariance to assess the effects of change in level of activity during follow-up on change in body composition. All analyses were performed sex-specific, and a p-value of < 0.05 was considered statistically significant. Results There were no associations between self-reported leisure time physical activity in the first year of upper secondary high school and changes in any of the considered measure of body composition after 2 years of follow up, with the exception of waist circumference in boys (p = 0.05). In boys, change in fat mass index differed significantly between groups of activity change (p < 0.01), with boys adopting activity or remaining physically active having less increase in fat mass index than the consistently inactive. In girls, change in lean mass index differed significantly between groups of activity change (p = 0.04), with girls adopting physical activity having the highest increase. Conclusions Self-reported leisure time physical activity does not predict changes in body composition in adolescents after 2 years of follow up. Change in the level of physical activity is associated with change in fat mass index in boys and lean mass index in girls.

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