Population-based Longitudinal Cohort Research Articles

Polycystic ovary syndrome presents as a multimorbid condition by age 50: birth cohort linkage to national register data.

This population-based follow-up study investigated register-based disease diagnoses and medication use up till age of 50 years among women with polycystic ovary syndrome (PCOS) that were identified from a population-based birth cohort. Population-based longitudinal cohort study. Women reporting oligo/amenorrhea and hirsutism at age 31 and/or who were diagnosed with PCOS by a physician by age 46 (n = 244) and women without PCOS symptoms or diagnosis (n = 1556) in the Northern Finland Birth Cohort 1966. National register data on diagnosed diseases (International Statistical Classification of Diseases [ICD]-8-10) and medication use (Anatomical Therapeutic Chemical) until the age of 50. Women with PCOS had a 26% higher risk for any registered diagnosis (risk ratio [RR]: 1.26 [1.09-1.46]) and a 24% higher risk for medication use (RR: 1.24 [1.05-1.46]) compared with non-PCOS women, even after adjusting for several confounders. Several main ICD categories were more prevalent among women with PCOS versus non-PCOS controls, eg, endocrine, metabolic, nervous system, musculoskeletal, and genitourinary diseases in addition with different symptoms and injuries. Surprisingly, even though the overall morbidity was only increased in women with PCOS with a body mass index (BMI) ≥ 25 kg/m2, there were several ICD main categories that showed higher comorbidity risk especially in women with PCOS with a BMI < 25 kg/m2. Several medications were prescribed more often to women with PCOS versus non-PCOS controls, eg, medications related to the alimentary tract and metabolism, the cardiovascular system, genitourinary system drugs and sex hormones, dermatologic and hormonal preparations, and medications to treat the musculoskeletal, nervous, and respiratory systems. Women with PCOS are burdened with multimorbidity and higher medication use, independent of BMI and other confounders. Accordingly, preventive strategies are needed to alleviate the disease burden and improve the health outcomes of women with PCOS.

A critique and examination of the polysocial risk score approach: predicting cognition in the Health and Retirement Study.

Polysocial risk scores were recently proposed as a strategy for improving the clinical relevance of knowledge about social determinants of health. Our objective in this study was to assess whether the polysocial risk score model improves prediction of cognition and all-cause mortality in middle-aged and older adults beyond simpler models including a smaller set of key social determinants of health. We used a sample of 13 773 individuals aged ≥50 years at baseline from the 2006-2018 waves of the Health and Retirement Study, a US population-based longitudinal cohort study. Four linear mixed models were compared: 2 simple models including a priori-selected covariates and 2 polysocial risk score models which used least absolute shrinkage and selection operator (LASSO) regularization to select covariates among 9 or 21 candidate social predictors. All models included age. Predictive accuracy was assessed via R2 and root mean-squared prediction error (RMSPE) using training/test split validation and cross-validation. For predicting cognition, the simple model including age, race, sex, and education had an R2 value of 0.31 and an RMSPE of 0.880. Compared with this, the most complex polysocial risk score selected 12 predictors (R2=0.35 and RMSPE=0.858; 2.2% improvement). For all-cause mortality, the simple model including age, race, sex, and education had an area under the receiver operating characteristic curve (AUROC) of 0.747, while the most complex polysocial risk score did not demonstrate improved performance (AUROC=0.745). Models built on a smaller set of key social determinants performed comparably to models built on a more complex set of social "risk factors."

Impact of aging on acute myeloid leukemia epidemiology and survival outcomes: A real-world, population-based longitudinal cohort study.

Acute myeloid leukemia (AML) is a severe and fatal form of leukemia that is prevalent in the older population. In this longitudinal retrospective study, we investigated the epidemiology and survival rates of patients diagnosed with de novo acute myeloid leukemia in South Korea from Jan 1, 2011, to Aug 31, 2020. We used real-world data from the Health Insurance Review and Assessment Service database. We observed an increase in the number of acute myeloid leukemia cases, with age-specific incidence rates escalating in older patients. In contrast a long-term decrease from 1.94 to 1.77 per 100,000 individuals was found in the age-standardized incidence rates. Meanwhile, age-standardized prevalence rates ascended from 8.93 to 9.67 per 100,000 individuals, with a remarkable increase in the age-specific prevalence rate for those aged 80 years and above. Survival rates were notably better in younger or treated patients, and in those who underwent Hematopoietic stem cell transplantation. The time of diagnosis did not affect the survival of patients younger than 65 years. However, the most recent survival rates were significantly lower for patients 65 or older, as shown in the unadjusted Cox survival analysis. After adjustments in the analysis, it was found that the overall survival rates of the most recently diagnosed group improved significantly compared with those diagnosed earlier, with a hazard ratio of 0.90 (95% confidence interval, 0.84-0.97). This improvement may potentially be influenced by the enhanced treatment alternatives available for newly diagnosed older patients aged 65 years or older. In conclusion, aging appears to fuel an increase in the number of acute myeloid leukemia cases and mortality. Further studies are warranted to understand the impact of aging on acute myeloid leukemia treatment outcomes and devise efficacious care strategies for older patients.

Physical activity trajectories and all-cause mortality in type 1 diabetes: A nationwide longitudinal study

AimsTo identify physical activity trajectories, explore the factors associated with them and assess their relationship with all-cause mortality. MethodsThis was a population-based longitudinal cohort study, with data from all specialist care units for type 1 diabetes in Sweden. A total of 48.921 adult patients were included, each with at least 3 registrations of physical activity, and a maximum follow-up of 14 years. The main outcomes were the longitudinal physical activity trajectories and all-cause mortality. ResultsOf 48.921 patients, 55.9% were males and mean (SD) age was 39.7(16.7). Four physical activity trajectories were identified: Steady Low (10.8%), Decreaser (12.7%), Increaser (20.7%) and Steady High (55.8%). Female sex, higher education, higher income, normal BMI, fewer comorbidities and foot free from diabetic disease were significantly associated with sustained high physical activity. Compared to the steady low group, the decreaser, increaser, and steady high physical activity groups exhibited lower adjusted risk of all-cause mortality (53–73% reduction). ConclusionsConsistently low physical activity is associated with higher all-cause mortality. This study underscores the importance of identifying patients at risk of low physical activity and tailoring personalized approaches to promote sustained physical activity in type 1 diabetes, ultimately improving outcomes.

Use of combined oral contraceptive pills in women with and without PCOS: A longitudinal population-based cohort study

Use of combined oral contraceptive pills in women with and without PCOS: A longitudinal population-based cohort study

The Chinese keratoconus (CKC) cohort study.

The Chinese keratoconus (CKC) cohort study is a population-based longitudinal prospective cohort study in the Chinese population involving a clinical database and biobanks. This ongoing study focuses on the prevention of KC progression and is the first to involve the effect of gene‒environment interactions on KC progression. The CKC cohort is hospital-based and dynamic and was established in Zhengzhou, China; KC patients (n = 1114) from a large geographical area were enrolled from January 2019 to June 2023, with a mean age of 22.23 years (6‒57 years). Demographic details, socioeconomic characteristics, lifestyle, disease history, surgical history, family history, and visual and social function data are being collected using questionnaires. General physical examination, eye examination, biological specimen collection, and first-degree relative data were collected and analyzed in the present study. The primary focus of the present study was placed on gene, environment and the effect of gene‒environment interactions on KC progression. The follow-up of the CKC cohort study is expected to include data collection at 3 months, 6 months, and 1 year after the initial examination and then at the annual follow-up examinations. The first follow-up of the CKC cohort study was recorded. A total of 918 patients completed the follow-up by June 1, 2023, with a response rate of 82.40%. Aside from the younger age of patients who were followed up, no significant differences were found between patients who were followed up and patients who were not.

Nutritional risk and adverse health outcomes in Chinese community-dwelling older adults: A study based on the Elderly Nutritional Indicators for Geriatric Malnutrition Assessment (ENIGMA)

ObjectivesMalnutrition and nutritional risk are risk factors for many adverse health outcomes in older adults, but they have rarely been assessed in China. The aim of this study was to evaluate the availability of Elderly Nutritional Indicators for Geriatric Malnutrition Assessment (ENIGMA), a nutritional scale originally developed to predict mortality, in assessing nutritional risks and predicting adverse health outcomes in Chinese community-dwelling older adults. MethodsThis was a population-based longitudinal cohort study (Chinese Longitudinal Healthy Longevity Survey), with a 4-y follow-up of 2063 community-dwelling adults aged 65 y or older. Nutritional risks were assessed via the use of ENIGMA and Geriatric Nutritional Risk Index (GNRI) at baseline (the 2014 wave). Cognitive impairment, functional limitation, and frailty were evaluated using the Chinese version of the Mini-Mental State Examination, Instrumental Activities of Daily Living/Instrumental Activities of Daily Living scale, and Frailty Index, respectively, at baseline and 4-y follow-up (the 2018 wave). Mortality was measured by survival status and duration of exposure to death from baseline to follow-up. The associations of nutritional risks with prevalent/incident cognitive impairment, functional limitation and frailty, and 4-y mortality were estimated using logistic regression and Cox proportional hazards regression models, adjusting for confounders. The discriminatory accuracy of ENIGMA and GNRI for these adverse health outcomes were compared by receiver operating characteristic analyses. ResultsAccording to ENIGMA, 48.6% of the Chinese community-dwelling older adults (age: 86.5±11.3 y) showed moderate and high nutritional risk. Nutritional risks defined by the ENIGMA were significantly associated with increased prevalence and incidence of cognitive impairment, functional limitation, and frailty (odds ratio ranging from 1.79 to 89.6, values ranging from P < 0.001 to 0.048) but were mostly insignificant for that defined by GNRI. With respect to 4-y mortality, nutritional risks as defined by GNRI showed better prediction effects than those defined by ENIGMA. Receiver operating characteristic analyses indicated that nutritional risks defined by ENIGMA had better discriminatory accuracy than those defined by GNRI for prevalent and incident cognitive impairment (C = 0.73 vs 0.64, P < 0.001; C = 0.65 vs 0.59, P = 0.015, respectively), functional limitation (C = 0.74 vs 0.63, P < 0.001 at baseline; C = 0.61 vs 0.56, P = 0.016 at follow-up), frailty (C = 0.85 vs 0.67, P < 0.001 at baseline; C = 0.64 vs 0.55, P < 0.001 at follow-up), and even 4-y mortality (C = 0.68 vs 0.64, P = 0.020). ConclusionsENIGMA could serve as a nutritional risk screening tool that has a robust role in predicting cognitive impairment, functional limitation, and frailty in Chinese community-dwelling older adults. It may be recommended for early nutritional risk screening and has the potential to guide early nutritional intervention in communities and primary care settings in China.

Polygenic Risk Score for C-Reactive Protein is Associated With Accelerated Cortical Thinning and Increased Psychopathology in Adolescents: A Population-Based Longitudinal Cohort Study

Polygenic Risk Score for C-Reactive Protein is Associated With Accelerated Cortical Thinning and Increased Psychopathology in Adolescents: A Population-Based Longitudinal Cohort Study

Does the effect of adolescent health behaviours on adult cardiometabolic health differ by socioeconomic background? Protocol for a population-based cohort study

IntroductionAdolescence is a sensitive period for cardiometabolic health. Yet, it remains unknown if adolescent health behaviours, such as alcohol use, smoking, diet and physical activity, have differential effects across socioeconomic...

Effects of risk factors on the development and mortality of early- and late-onset dementia: an 11-year longitudinal nationwide population-based cohort study in South Korea

BackgroundEarly-onset dementia (EOD, onset age < 65) and late-onset dementia (LOD, onset age ≥ 65) exhibit distinct features. Understanding the risk factors for dementia development and mortality in EOD and LOD respectively is crucial for personalized care. While risk factors are known for LOD development and mortality, their impact on EOD remains unclear. We aimed to investigate how hypertension, diabetes mellitus, hyperlipidemia, atrial fibrillation, and osteoporosis influence the development and mortality of EOD and LOD, respectively.MethodsUsing the Korean National Health Insurance Service (NHIS) database, we collected 546,709 dementia-free individuals and followed up for 11 years. In the two study groups, the Younger group (< 65 years old) and the Older group (≥ 65 years old), we applied Cox proportional hazard models to assess risk factors for development of EOD and LOD, respectively. Then, we assessed risk factors for mortality among EOD and LOD.ResultsDiabetes mellitus and osteoporosis increased the risk of EOD and LOD development. Hypertension increased the risk of EOD, while atrial fibrillation increased the risk of LOD. Conversely, hyperlipidemia exhibited a protective effect against LOD development. Additionally, diabetes mellitus increased mortality in EOD and LOD. Hypertension and atrial fibrillation increased mortality in LOD, while hyperlipidemia decreased mortality in EOD and LOD.ConclusionsRisk factors influencing dementia development and mortality differed in EOD and LOD. Targeted public health interventions addressing age-related risk factors may reduce dementia incidence and mortality.

Establishment of a mild cognitive impairment risk model in middle-aged and older adults: a longitudinal study.

Early identification individuals at high risk of mild cognitive impairment (MCI) is essential for prevention and intervention strategies of dementia, such as Alzheimer's disease. MCI prediction considering the interdependence of predictors in longitudinal data needs to be further explored. We aimed to employ machine learning (ML) to develop and verify a prediction model of MCI. In a longitudinal population-based cohort of China Health and Retirement Longitudinal Study (CHARLS), 8390 non-MCI participants were enrolled. The diagnosis of MCI was based on the aging-associated cognitive decline (AACD), and 13 factors (gender, education, marital status, residence, diabetes, hypertension, depression, hearing impairment, social isolation, physical activity, drinking status, body mass index and expenditure) were finally selected as predictors. We implemented a long short-term memory (LSTM) to predict the MCI risks in middle-aged and older adults within 7years. The Receiver Operating Characteristic curve (ROC) and calibration curve were used to evaluate the performance of the model. Through 7years of follow-up, 1925 participants developed MCI. The model for all incident MCI achieved an AUC of 0.774, and its deployment to the participants followed 2, 4, and 7years achieved results of 0.739, 0.747, and 0.750, respectively. The model was well-calibrated with predicted probabilities plotted against the observed proportions of cognitive impairment. Education level, gender, marital status, and depression contributed most to the prediction of MCI. This model could be widely applied to medical institutions, even in the community, to identify middle-aged and older adults at high risk of MCI.

Longitudinal association between soft drink consumption and handgrip strength in adults: a prospective analysis from the Tianjin Chronic Low-Grade Systemic Inflammation and Health (TCLSIH) cohort study.

Soft drink consumption has become a highly controversial public health issue. Given the pattern of consumption in China, sugar-sweetened beverage is the main type of soft drink consumed. Due to containing high levels of fructose, a soft drink may have a deleterious effect on handgrip strength (HGS) due to oxidative stress, inflammation and insulin resistance. However, few studies show an association between soft drink consumption and HGS in adults. We aimed to investigate the association between soft drink consumption and longitudinal changes in HGS among a Chinese adult population. A longitudinal population-based cohort study (5-year follow-up, median: 3·66 years) was conducted in Tianjin, China. A total of 11125 participants (56·7 % men) were enrolled. HGS was measured using a handheld digital dynamometer. Soft drink consumption (mainly sugar-containing carbonated beverages) was measured at baseline using a validated FFQ. ANCOVA was used to evaluate the association between soft drink consumption and annual change in HGS or weight-adjusted HGS. After adjusting for multiple confounding factors, the least square means (95 % CI) of annual change in HGS across soft drink consumption frequencies were -0·70 (-2·49, 1·09) for rarely drinks, -0·82 (-2·62, 0·97) for < 1 cup/week and -0·86 (-2·66, 0·93) for ≥ 1 cup/week (Pfor trend < 0·05). Likewise, a similar association was observed between soft drink consumption and annual change in weight-adjusted HGS. The results indicate that higher soft drink consumption was associated with faster HGS decline in Chinese adults.

Statin Initiation and Risk of Incident Alzheimer Disease and Cognitive Decline in Genetically Susceptible Older Adults.

The association of statin initiation with incident Alzheimer disease (AD) dementia and cognitive decline by the APOE ε4 allele is unknown. Our objective was to examine whether the association of statin initiation with incident AD dementia and cognitive decline differs by the APOE ε4 allele. This population-based longitudinal cohort study was conducted in 4 urban communities in Chicago, IL, United States, consisting of 4,807 participants. Statin initiation is based on the inspection of medications during home assessments. Clinical diagnosis for incident AD used the NINCDS-ADRDA criteria, and longitudinal measurements of global cognition consisted of episodic memory, perceptual speed, and the Mini-Mental State Examination tests. The study participants had a mean age of 72 years, consisting of 63% female individuals and 61% non-Hispanic Black individuals. During the study period, 1,470 (31%) participants reported statin initiation. In a covariate-adjusted competing risk model, statin initiation was associated with a reduced risk of incident clinical AD [hazard ratio (HR) 0.81 (95% CI 0.70-0.94)] compared with nonusers. This association was statistically significantly lower (p interaction = 0.015) among participants with the APOE ε4 allele [HR 0.60 (95% CI 0.49-0.74)] compared with those without the APOE ε4 allele [HR 0.96 (95% CI 0.82-1.12)]. The annual decline in global cognition (β = 0.021, 95% CI 0.007-0.034) and episodic memory (β = 0.020, 95% CI 0.007-0.033) was also substantially slower among participants with the APOE ε4 allele after statin initiation compared with nonusers. However, the association of statin initiation with cognitive decline was not significant among those without the APOE ε4 allele. Our findings suggest that statins might be associated with a lower risk of incident AD among individuals with the APOE ε4 allele. The benefits of statin therapy need further consideration in randomized clinical trials, especially among those with the APOE ε4 allele. This study provides Class II evidence that among those aged 65 years or older, statin initiation was associated with a reduced risk of Alzheimer disease, especially in the presence of an APOE-e4 allele.

Brain atrophy in normal older adult links tooth loss and diet changes to future cognitive decline

Several studies have found associations between poor oral health, particularly tooth loss and cognitive decline. However, the specific brain regions affected by tooth loss and the probable causes remain unclear. We conducted a population-based longitudinal cohort study in Nakajima, Nanao City, Japan. Between 2016 and 2018, 2454 residents aged ≥60 participated, covering 92.9% of the local age demographics. This study used comprehensive approach by combining detailed dental examinations, dietary assessments, magnetic resonance imaging (MRI) analysis, and cognitive evaluations. Tooth loss, even in cognitively normal individuals, is associated with parahippocampal gyrus atrophy and increased WMH volume, both of which are characteristics of dementia. Tooth loss was associated with altered dietary patterns, notably a reduction in plant-based food intake and an increase in fatty, processed food intake. This study highlights a possible preventative pathway where oral health may play a significant role in preventing the early neuropathological shifts associated with dementia.

Prevalence and temporal relationship of clinical co-morbidities in idiopathic dystonia: a UK linkage-based study

While motor and psychiatric phenotypes in idiopathic dystonia are increasingly well understood, a few studies have examined the rate, type, and temporal pattern of other clinical co-morbidities in dystonia. Here, we determine the rates of clinical diagnoses across 13 broad systems-based diagnostic groups, comparing an overall idiopathic dystonia cohort, and sub-cohorts of cervical dystonia, blepharospasm, and dystonic tremor, to a matched-control cohort. Using the SAIL databank, we undertook a longitudinal population-based cohort study (January 1st 1994–December 31st 2017) using anonymised electronic healthcare records for individuals living in Wales (UK), identifying those diagnosed with dystonia through use of a previously validated algorithm. Clinical co-morbid diagnoses were identified from primary health care records, with a 10% prevalence threshold required for onward analysis. Using this approach, 54,166 dystonia cases were identified together with 216,574 matched controls. Within this cohort, ten of the main ICD-10 diagnostic codes exceeded the 10% prevalence threshold over the 20-year period (infection, neurological, respiratory, gastrointestinal, genitourinary, dermatological, musculoskeletal, circulatory, neoplastic, and endocrinological). In the overall dystonia cohort, musculoskeletal (aOR: 1.89, aHR: 1.74), respiratory (aOR: 1.84; aHR: 1.65), and gastrointestinal (aOR: 1.72; aHR: 1.6) disorders had the strongest associations both pre- and post-dystonia diagnosis. However, variation in the rate of association of individual clinical co-morbidities was observed across the cervical, blepharospasm, and tremor dystonia groups. This study suggests an increased rate of specific co-morbid clinical disorders both pre- and post-dystonia diagnosis which should be considered during clinical assessment of those with dystonia to enable optimum symptomatic management.

Health Conditions, Education Services, and Transition Planning for Adolescents With Autism.

Our objectives with this study were to describe the frequency of selected cooccurring health conditions and individualized education program (IEP) services and post-high school transition planning for adolescents with autism spectrum disorder and identify disparities by sex, intellectual ability, race or ethnicity, and geographic area. The study sample included 1787 adolescents born in 2004 who were identified as having autism through a health and education record review through age 16 years in 2020. These adolescents were part of a longitudinal population-based surveillance birth cohort from the Autism and Developmental Disabilities Monitoring Network from 2004 to 2020 in 5 US catchment areas. Attention deficit hyperactivity disorder (47%) and anxiety (39%) were the most common cooccurring health conditions. Anxiety was less commonly identified for those with intellectual disability than those without. It was also less commonly identified among Black adolescents compared with White or Hispanic adolescents. There was wide variation across Autism and Developmental Disabilities Monitoring Network sites in the provision of school-based IEP services. Students with intellectual disability were less likely to receive school-based mental health services and more likely to have a goal for postsecondary independent living skills compared with those without intellectual disability. A total of 37% of students did not participate in standardized testing. We identified disparities in the identification of cooccurring conditions and school-based IEP services, practices, and transition planning. Working with pediatric health and education providers, families, and adolescents with autism will be important to identify contributing factors and to focus efforts to reduce disparities in the supports and services adolescents with autism have access to and receive.

Change in number of pain sites - which factors are important? A 12-year prospective cohort study

BackgroundPain in multiple body sites is common and often persistent. The purpose of this prospective study was to examine the change in the number of pain sites (NPS) over time and to evaluate to which extent clinical, demographic, lifestyle and health-related factors predict a change in NPS.MethodsThis was a population-based longitudinal cohort study of adults (n = 2,357). Data on pain, demographic, lifestyle, and health-related variables were collected by questionnaires in 2008 and 2020 and register data from 2006 to 2017. Data was analysed with linear regression.ResultsWe found a mean decrease in NPS over the 12-year follow-up period (-0.36 (95% CI; -0.44; -0.27) and 56% of this sample reported no change or only one pain site increase/decrease over 12 years. While participants reporting pain for less than 3 months at baseline had almost no change in NPS (-0.04 (95% CI; -0.18; 0.10)), participants with pain for longer than 3 months decreased by -0.51 (95% CI; -0.62; -0.41). Age at baseline (20–49 years), pain intensity, and obesity (BMI ≥ 30) were associated with an increase in NPS over the follow-up period.ConclusionsNPS is relatively stable over time. We found a small mean decrease in NPS over 12 years varying between participants with pain for longer than 3 months and pain for less than 3 months respectively. The results also indicate that pain intensity, age, and obesity could be relevant factors to consider when predicting change in NPS.

Reciprocal Association Between Chronic Pain and Health Insurance Type in a Population-based Longitudinal Cohort Study

Chronic pain is a widespread condition limiting adults’ daily activities and labor force participation. In the United States, withdrawal from the workforce could be associated with loss of health insurance coverage, while lack of health insurance coverage can limit access to diagnosis and management of chronic health conditions. We used a longitudinal cohort study of middle-aged adults to investigate whether chronic pain is reciprocally associated with coverage by any insurance and type of insurance coverage over a 2-year period (2018 and 2020). Among 5,137 participants (median age of 57 years in 2018), 29% reported chronic pain in either year, while 9 to 10% were uninsured each year. Using multivariable cross-lagged logistic regression analysis, chronic pain in 2018 was not associated with having any insurance coverage in 2020, and lack of coverage in 2018 was not associated with chronic pain in 2020. In further analysis, we determined that public coverage, other (non-private) coverage, or no coverage in 2018 were associated with an increased risk of chronic pain in 2020; while chronic pain in 2018 increased the risk of coverage by public rather than private insurance 2 years later, as well as the risk of coverage by other (non-private) payors. The reciprocal association of non-private insurance coverage and chronic pain may be related to insufficient access to chronic pain treatment among publicly insured adults, or qualification for public insurance based on disability among adults with chronic pain. These results demonstrate that accounting for the type of health insurance coverage is critical when predicting chronic pain in US populations. PerspectiveIn a longitudinal cohort study of middle-aged US adults, the use of public and other non-private insurance predicts future experience of chronic pain, while past experience of chronic pain predicts future use of public and other non-private insurance.

Early Infant Feeding Practices and Associations with Growth in Childhood.

Early infant growth trajectories have been linked to obesity risk. The aim of this study was to examine early infant feeding practices in association with anthropometric measures and risk of overweight/obesity in childhood. A total of 2492 children from Upstate KIDS, a population-based longitudinal cohort, were included for the analysis. Parents reported breastfeeding and complementary food introduction from 4 to 12 months on questionnaires. Weight and height were reported at 2-3 years of age and during later follow-up at 7-9 years of age. Age and sex z-scores were calculated. Linear mixed models were conducted, adjusting for maternal and child sociodemographic factors. Approximately 54% of infants were formula-fed at <5 months of age. Compared to those formula-fed, BMI- (adjusted B, -0.23; 95% CI: -0.42, -0.05) and weight-for-age z-scores (adjusted B, -0.16; -0.28, -0.03) were lower for those exclusively breastfed. Infants breastfed for ≥12 months had a lower risk of being overweight (aRR, 0.33; 0.18, 0.59) at 2-3 years, relative to formula-fed infants. Compared to introduction at <5 months, the introduction of fruits and vegetables between 5 and 8 months was associated with lower risk of obesity at 7-9 years (aRR, 0.45; 0.22, 0.93). The type and duration of breastfeeding and delayed introduction of certain complementary foods was associated with lower childhood BMI.

Association of emotional and behavioral problems with the development of the substantia nigra, subthalamic nucleus, and red nucleus volumes and asymmetries from childhood to adolescence: A longitudinal cohort study

The substantia nigra (SN), subthalamic nucleus (STN), and red nucleus (RN) have been widely studied as important biomarkers of degenerative diseases. However, how they develop in childhood and adolescence and are affected by emotional behavior has not been studied thus far. This population-based longitudinal cohort study used data from a representative sample followed two to five times. Emotional and behavioral problems were assessed with the Strengths and Difficulties Questionnaire (SDQ). Linear mixed models were used to map developmental trajectories and behavioral regulation. Using an innovative automated image segmentation technique, we quantified the volumes and asymmetries of the SN, STN and RN with 1226 MRI scans of a large longitudinal sample of 667 subjects aged 6–15 years and mapped their developmental trajectories. The results showed that the absolute and relative volumes of the bilateral SN and right STN showed linear increases, while the absolute volume of the right RN and relative volume of the bilateral RN decreased linearly, these effects were not affected by gender. Hyperactivity/inattention weakened the increase in SN volume and reduced the absolute volume of the STN, conduct problems impeded the RN volume from decreasing, and emotional symptoms changed the direction of SN lateralization. This longitudinal cohort study mapped the developmental trajectories of SN, STN, and RN volumes and asymmetries from childhood to adolescence, and found the association of emotional symptoms, conduct problems, and hyperactivity/inattention with these trajectories, providing guidance for preventing and intervening in cognitive and emotional behavioral problems.