The present study examined military families’ use of food distribution resources and military (e.g. rank) and non-military (e.g. race/ethnicity) characteristics associated with using food distribution resources.

Secondary data analyses from a cross-sectional survey in the first 6 months of 2021.

A national sample of eligible families completed an online survey.

8326 enlisted military families with an active duty service member in the United States Army or Air Force who applied for supplemental childcare funding distributed by National Military Family Association.

13·2 % of the families reported utilising a food distribution resource in the past 12 months. Those with lower financial well-being were more likely to utilise such resources. Older (OR = 1·04, 95 % CI = 1·02, 1·05, P < 0·001), single-earner (OR = 0·73, 95 % CI = 0·61, 0·89, P = 0·001) families with a lower rank (OR = 0·69, 95 % CI = 0·64, 0·75, P < 0·001) and Army affiliation (compared with Air Force) (OR = 2·31, 95 % CI = 2·01, 2·67, P < 0·001) were more likely to utilise food distribution resources. Members of certain racial/ethnic minority groups were more likely to utilise food distribution resources than White respondents (OR from 1·47 for multi-racial to 1·69 for Asians), as were families with more dependent children (OR = 1·35, 95 % CI = 1·25, 1·47, P < 0·001).

These results identify the extent of food distribution resource utilisation in military families with young children approximately 1 year into the COVID-19 pandemic. The results also identify characteristics associated with their use of food distribution resources. Findings are discussed with an emphasis on prevention and intervention implications for military families.

To identify associations between demographics, social determinants of health, health conditions, and reported history of insomnia. A cross-sectional study including 11,960 adult community members recruited through HealthStreet, a community outreach program at University of Florida.

Health assessments were conducted via interviews. Participants reported their demographic background, level of social support, history of health conditions, and insomnia. Logistic regression was used to understand associations between risk factors and history of insomnia.

The prevalence of self-reported insomnia was 27.3%. Adults aged ≥ 65 years (OR = 1.16) and women (OR = 1.18) reported higher rates of insomnia than their counterparts. Black/African American individuals reported lower rates of insomnia (OR = 0.72) than White individuals. Individuals with food insecurity (OR = 1.53), a military history (OR = 1.30), lower social support (OR = 1.24), living alone (OR = 1.14), anxiety (OR = 2.33), cardiometabolic disease (OR = 1.58), and attention-deficit hyperactivity disorder (ADHD) (OR = 1.44) were significantly more likely to endorse insomnia compared with their counterparts. Depression (OR = 2.57) had the strongest association with insomnia.

This study provides evidence regarding who is at greater risk for insomnia among a large community-based sample. Our findings highlight the importance of screening for insomnia, particularly among patients who experience food insecurity, are military veterans, have anxiety, depression, ADHD, or cardiometabolic disease, as well as those who live alone or have lower levels of social support. Future public health campaigns should provide education on insomnia symptoms, treatments, and evidenced-based sleep-promotion strategies.

Depression, the most frequent and harmful mental disorder, has been associated with specific somatic diseases as the leading cause of death. The purposes of this prospective study were to predict incident chronic diseases based on baseline depressive symptoms and to test sex-dependent effects.

In a representative German community sample of over 12 000 participants, baseline depressive symptoms (assessed using the Patient Health Questionnaire-9) were tested as a predictor of new onset of cardiovascular disease (CVD), chronic obstructive lung disease, diabetes, cancer, and migraine at 5-year follow-up. To study disease incidence, we created subsamples for each chronic disease by excluding participants who already had the respective disease at baseline. Potential confounders were included in logistic regression models and sex-specific analyses were performed.

Controlling for demographic characteristics and loneliness, in men and women, baseline depressive symptoms were predictive of CVD, chronic obstructive lung disease, diabetes, and migraine, but not of cancer. When we additionally adjusted for metabolic and lifestyle risk factors, there was an 8% increase of chronic obstructive lung disease and migraine per point of depressive symptoms. There was a trend for CVD (4%; p = 0.053). Sex-sensitive analyses revealed trends for the relevance of depressive symptoms for CVD in men (p = 0.065), and for diabetes in women (p = 0.077).

These findings underscore the need to implement screening for depression in the treatment of major somatic illnesses. At the same time, depressed patients should be screened for metabolic and lifestyle risk factors and for somatic diseases and offered lifestyle interventions.

Previous research regarding anxiety as a predictor of future cognitive decline in older adults is limited and inconsistent. We examined the independent relationship between anxiety symptoms and subsequent cognitive decline.

We included 2,818 community-dwelling older men (mean age = 76.1, SD ±5.3 years) who were followed on an average for 3.4 years. We assessed anxiety symptoms at baseline using the Goldberg Anxiety Scale (GAS; range = 0–9). We assessed cognitive function at baseline and at two subsequent visits using the Modified Mini-Mental State Examination (3MS; global cognition) and the Trails B test (executive function).

At baseline, there were 690 (24%) men with mild anxiety symptoms (GAS 1–4) and 226 (8%) men with moderate/severe symptoms (GAS 5–9). Men with anxiety symptoms were more likely to have depressed mood, poor sleep, more chronic medical conditions, and more impairment in activities of daily living compared to those with no anxiety symptoms. Compared to those with no anxiety symptoms at baseline, men with any anxiety symptoms were more likely to have substantial worsening in Trails B completion time (OR = 1.56, 95% CI 1.19, 2.05). The association was attenuated after adjusting for potential confounders, including depression and poor sleep, but remained significant (OR = 1.40, 95% CI 1.04, 1.88).

In cognitively healthy older men, mild anxiety symptoms may potentially predict future decline in executive functioning. Anxiety is likely a manifestation of an underlying neurodegenerative process rather than a cause.

Marriage has been identified as a protective factor in relation to suicide among older adults. The current study aimed to investigate whether sense of belonging mediated the marital status–suicidal ideation relationship, and whether gender moderated the mediation model. It was hypothesized that the relationship between being widowed and lower levels of sense of belonging, and between lower levels of belonging and higher levels of suicidal ideation, would be stronger for older men than older women.

A community sample of Australian men (n = 286) and women (n = 383) aged from 65 to 98 years completed the psychological subscale of the Sense of Belonging Instrument and the suicide subscale of the General Health Questionnaire.

The results supported the moderated mediation model, with gender influencing the marital status–sense of belonging relation. For men, widowhood was associated with lower levels of belongingness, whereas for women, marital status was unrelated to sense of belonging.

It would appear crucial to develop and implement interventions which assist older men to find new ways to feel important and valued after the death of their spouse.

Although many studies have addressed the topic of stability versus change in depressive symptoms, few have further decomposed the change to continuous accumulation versus non-systematic state fluctuations or measurement errors. This further step requires a longitudinal follow-up and an appropriate stochastic model; it would, for example, evaluate the hypothesis that women accumulate more susceptibility events than men.

A linear stochastic differential equation model was estimated for a 16-year longitudinal course of depressive symptoms in the Young Finns community sample of 3596 participants (1832 women, 1764 men). This model enabled us to decompose the variance in depression symptoms into a stable trait, cumulative effects and state/error fluctuations.

Women showed higher mean levels and higher variance of depressive symptoms than men. In men, the stable trait accounted for the majority [61%, 90% confidence interval (CI) 48.9–69.2] of the total variance, followed by cumulative effects (23%, 90% CI 9.9–41.7) and state/error fluctuations (16%, 90% CI 5.6–23.2). In women, the cumulative sources were more important than among men and accounted for 44% (90% CI 23.6–58.9) of the variance, followed by stable individual differences (32%, 90% CI 18.5–54.2) and state fluctuations (24%, 90% CI 19.1–27.3).

The results are consistent with previous observations that women suffer more depression than men, and have more variance in depressive symptoms. We also found that continuously accumulating effects are a significant contributor to between-individual differences in depression, especially for women. Although the accumulating effects are often confounded with non-systematic state fluctuations, the latter are unlikely to exceed 27% of the total variance of depressive symptoms.