Association between cardio-metabolic risks and depressive symptoms among US adults (NHANES 2013-2018)

Association between recreational physical activity and depressive symptoms in adults with diagnosed sleep disorders: an analysis of NHANES 2007-2018 data

OBJECTIVE

This study aimed to examine the relationship between recreational physical activity and depressive symptoms in adults diagnosed with sleep disorders, and to explore the potential of recreational physical activity as a practical intervention to alleviate depressive symptoms.

METHODS

Data were drawn from the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2018, including a cohort of 3,164 adults with diagnosed sleep disorders. Depressive symptoms were measured using the Patient Health Questionnaire-9 (PHQ-9), while recreational physical activity was assessed via metabolic equivalents (METs). The association between physical activity and depressive symptoms was evaluated using multiple linear regression and breakpoint regression models, adjusting for covariates such as sex, age, ethnicity, smoking status, and alcohol consumption.

RESULTS

In the fully adjusted model, participants in the highest quartile of recreational physical activity (Q4) exhibited significantly lower depressive symptom scores (Q4: β = -1.01, 95% CI: -1.58 to -0.44, p = 0.0005), indicating that greater physical activity was linked to fewer depressive symptoms. Additional analyses revealed that this inverse relationship was most pronounced for activity levels below 840 MET, which corresponds to approximately 105 min of vigorous recreational physical activity per day or 210 min of moderate-intensity activity per day. The association weakened for activity levels exceeding 840 MET. Subgroup analyses further indicated that the benefits of recreational physical activity were more pronounced in men, individuals aged 40-60 years, and former smokers.

CONCLUSION

Higher levels of recreational physical activity were associated with significantly reduced depressive symptoms in adults with sleep disorders. The greatest reductions in depressive symptoms were observed at activity levels below 840 MET, which corresponds to approximately 105 min of vigorous recreational physical activity per day or 210 min of moderate-intensity activity per day. Men, individuals aged 40-60 years, and former smokers derived the most benefit from these activity levels.

Cumulative inequality in social determinants of health in relation to depression symptom: An analysis of nationwide cross-sectional data from U.S. NHANES 2005-2018

Social determinants of health (SDoH) have been linked to a higher likelihood of experiencing mental health problems. This study aimed to investigate whether the accumulation of unfavorable SDoH is associated with depression symptom. Data was gathered from a representative population participating in the U.S. National Health and Nutrition Examination Survey spanning from 2005 to 2018. Self-reported SDoH were operationalized according to the criteria outlined in Healthy People 2030, with a cumulative measure of unfavorable SDoH calculated for analysis. The presence of depression symptom was identified using the Patient Health Questionnaire in a representative sample of 30,762 participants (49.2 % males) representing 1,392 million non-institutionalized U.S. adults, with 2,675 (8.7 %) participants showing depression symptom. Unfavorable SDoH were found to be significantly and independently associated with depression symptom. Individuals facing multiple unfavorable SDoHs were more likely to experience depression symptom (P for trend < 0.001). For instance, a positive association was observed in participants exposed to six or more unfavorable SDoHs with depression symptom (AOR = 3.537, 95 % CI: 1.781, 7.075, P-value < 0.001). The findings emphasize that the likelihood of developing depression symptom significantly increases when multiple SDoHs are present, compared to just a single SDoH.

The relationship of within-individual and between-individual variation in mental health with bodyweight: An exploratory longitudinal study

BACKGROUND

Poor mental health is associated with obesity, but existing studies are either cross-sectional or have long time periods between measurements of mental health and weight. It is, therefore, unclear how small fluctuations in mental wellbeing within individuals predict bodyweight over short time periods, e.g. within the next month. Studying this could identify modifiable determinants of weight changes and highlight opportunities for early intervention.

METHODS

2,133 UK adults from a population-based cohort completed monthly mental health and weight measurements using a mobile app over a period of 6-9 months. We used random intercept regression models to examine longitudinal associations of depressive symptoms, anxiety symptoms and stress with subsequent weight. In sub-group analyses, we included interaction terms of mental health variables with baseline characteristics. Mental health variables were split into "between-individual" measurements (= the participant's median score across all timepoints) and "within-individual" measurements (at each timepoint, the difference between the participant's current score and their median).

RESULTS

Within-individual variation in depressive symptoms predicted subsequent weight (0.045kg per unit of depressive symptom severity, 95% CI 0.021-0.069). We found evidence of a moderation effect of baseline BMI on the association between within-individual fluctuation in depressive symptoms and subsequent weight: The association was only apparent in those with overweight/obesity, and it was stronger in those with obesity than those with overweight (BMI<25kg/m2: 0.011kg per unit of depressive symptom severity [95% CI -0.017 to 0.039]; BMI 25-29.9kg/m2: 0.052kg per unit of depressive symptom severity [95%CI 0.010-0.094kg]; BMI≥30kg/m2: 0.071kg per unit of depressive symptom severity [95%CI 0.013-0.129kg]). We found no evidence for other interactions, associations of stress and anxiety with weight, or for a reverse direction of association.

CONCLUSION

In this exploratory study, individuals with overweight or obesity were more vulnerable to weight gain following higher-than-usual (for that individual) depressive symptoms than individuals with a BMI<25kg/m2.

Food addiction as a mediator between depressive symptom severity and body mass index

Depression is associated with an increased risk of cardiometabolic disease linked to weight gain driven by complex interactions between multiple risk factors, including overeating behaviours. However, risk factors that mediate the relationship between depressive symptoms and weight gain remain to be fully elucidated. This study examined food addiction symptoms as a potential mediator on the relationship between depressive symptom severity and adiposity as measured by body mass index (BMI), and evaluated whether this relationship was contingent on appetite symptom profile and sex. In a sample of 628 adults, depressive symptom severity was assessed using the Centre for Epidemiological Studies Depression Scale (CES-D), and food addiction symptoms were measured using the Yale Food Addiction Scale (YFAS, version 2). Participant demographics, including BMI, appetite presentations and sex, were assessed using self-report questions. Mediation and moderated mediation analyses were performed to determine relationships between variables. The prevalence of depressogenic food addiction in the present sample was 21.7%. After accounting for age and averaged amount of exercise, food addiction symptoms fully mediated the relationship between depressive symptom severity and BMI. Appetite symptom profile was a significant moderator of this relationship, with effects more pronounced in those with increased appetite compared to decreased or unchanged appetite. While sex was not a significant moderator, being male or female was associated with higher food addiction scores. This study supports food addiction symptoms as an important behavioural risk factor for increased adiposity linked to greater depressive symptom severity, particularly in those experiencing increased appetite during a depressive episode. Assessment and monitoring of food addiction symptoms may have utility in reducing the risk of increased BMI and adverse health outcomes in those experiencing more severe depressive symptoms.

Cardiovascular disease burden is associated with worsened depression symptoms in the U.S. general population

BACKGROUND

Cardiovascular disease (CVD) and depression are the leading causes of disability in the U.S. Using five cycles (2009-2018) of the U.S. National Health and Nutrition Examination Survey, we examined the cross-sectional association between CVD risk factor burden and depression severity in nonpregnant adults with no history of CVD events.

METHODS

With at least 3000 participants per cycle, the overall N was 18,175. CVD risk factors were ascertained through self-report, lab tests, or medications. The sum of hypertension, diabetes, dyslipidemia, and current smoking represented a CVD risk score variable (range: 0-4). Depression severity was assessed using scores on the 9-item patient health questionnaire: 0-9 (none-mild) and 10-27 (moderate-to-severe). Logistic regression models were performed to investigate the association between CVD risk score categories and moderate-to-severe depression. Cycle-specific odds ratios (OR) were meta-analyzed to obtain a pooled OR (95 % CI) (Q-statistic p > 0.05).

RESULTS

Compared to participants with no CVD risk factors, participants with risk scores of 1, 2, 3, and 4, had 1.28 (0.92-1.77), 2.18 (1.62-2.94), 2.53 (1.86-3.49), 2.97 (1.67-5.31) times higher odds of moderate-to-severe depression, respectively, after adjusting for socio-demographics and antidepressant use (linear trend p < 0.0001). This relationship persisted after additionally adjusting for lifestyle variables.

LIMITATIONS

NHANES data is cross-sectional and self-reported, thus preventing causal assessments and leading to potential recall bias.

CONCLUSIONS

Among U.S. adults, CVD risk factor burden was associated with worsened depression symptoms. Integrated mental and physical healthcare services could improve risk stratification among persons with CVD and depression, possibly reducing long-term disability and healthcare costs.

The impact of social determinants of health on obesity and diabetes disparities among Latino communities in Southern California

BACKGROUND

Social determinants of health (SDoH) describe the complex network of circumstances that impact an individual before birth and across the lifespan. SDoH contextualize factors in a community that are associated with chronic disease risk and certain health disparities. The main objective of this study was to explore the impact of SDoH on the prevalence of obesity and diabetes, and whether these factors explain disparities in these health outcomes among Latinos in Southern California.

METHODS

We utilized three composite indices that encompass different SDoH: the Healthy Places Index (HPI), Social Vulnerability Index (SVI), and CalEnviroScreen (CES). Univariate linear regression models explored the associations between index scores with adult obesity, adult diabetes, and childhood obesity.

RESULTS

Communities with lower HPI scores were associated with higher prevalence of metabolic disease and a greater proportion of Latino residents. Cities in the lowest decile of HPI scores had 71% of the population identifying as Latino compared to 12% in the highest decile. HPI scores explained 61% of the variability in adult obesity (p < 0.001), 41% of the variability in childhood obesity (p < 0.001), and 47% of the variability in adult diabetes (p < 0.001). Similar results were observed when examining SVI and CES with these health outcomes.

CONCLUSIONS

These results suggest that Latinos in Southern California live in communities with adverse SDoH and face a greater burden of adult obesity, diabetes, and childhood obesity.