Harvard T.H. Chan School of Public Healthhttps://nrs.harvard.edu/1/44546872024-03-19T01:22:08Z2024-03-19T01:22:08ZFactors associated with psychiatric outcomes and coping in Long COVIDRe’em, YochaiStelson, ElisabethDavis, Hannah E.McCorkell, LisaWei, HannahAssaf, GinaAkrami, Athenahttps://nrs.harvard.edu/1/373776862024-02-02T20:01:38Z2023-05-10T04:00:00ZFactors associated with psychiatric outcomes and coping in Long COVID
Re’em, Yochai; Stelson, Elisabeth; Davis, Hannah E.; McCorkell, Lisa; Wei, Hannah; Assaf, Gina; Akrami, Athena
The relationship between Long COVID (LC) and psychiatric outcomes, as well as factors associated with presence and absence of these, has to date been insufficiently studied. To explore this, we evaluated psychiatric symptoms and coping among LC and recovered COVID-19 patients who participated in a large international survey. Given increased rates of psychiatric illness with chronic medical conditions and known immune-inflammatory contributors to psychiatric disease, we hypothesized that a subset, but not entirety, of LC respondents may have comorbid psychopathology. A significant minority of both groups experienced suicidality, depression, and anxiety symptoms with these symptoms being more common in the LC group. LC respondents used more adaptive coping styles. Psychiatric outcomes in LC were associated with younger age, greater reductions in overall health, higher symptom severity, limitations to physical capability, lower income, financial hardship, psychiatric history, employment impact, male sex, men and nonbinary gender, and negative experiences with medical professionals, family, friends, partners, and employers.
2023-05-10T04:00:00ZEffect of a Center-Based Early Childhood Care and Education Program on Child Nutritional Status: A Secondary Analysis of a Stepped-Wedge Cluster Randomized Controlled Trial in Rural Sindh, PakistanAli, Nazia BinteYousafzai, AishaSiyal, SaimaBhamani, ShelinaSudfeld, Christopherhttps://nrs.harvard.edu/1/373776162024-01-09T21:11:04Z2023-12-01T05:00:00ZEffect of a Center-Based Early Childhood Care and Education Program on Child Nutritional Status: A Secondary Analysis of a Stepped-Wedge Cluster Randomized Controlled Trial in Rural Sindh, Pakistan
Ali, Nazia Binte; Yousafzai, Aisha; Siyal, Saima; Bhamani, Shelina; Sudfeld, Christopher
Background: High-quality early childhood care and education (ECCE) programs can positively impact children's development. However, as an unintended consequence, ECCE attendance may also affect children's nutritional status.
Objective: We evaluated the effect of a center-based ECCE intervention on child nutritional outcomes in rural Pakistan.
Methods: This study utilized data from a stepped-wedge cluster randomized controlled trial of a center-based ECCE program that trained female youth to run high-quality preschools for children aged 3.5-5.5 years (LEAPS program) in rural Sindh, Pakistan. The program did not include any school meals. A total of 99 village clusters were randomized to receive the LEAPS intervention in three steps, and repeated cross-sectional surveys were conducted to assess the impact on children (4.5-5.5 years old) at four time points. Intention-to-treat analyses with multi-level mixed-effect models were used to estimate the effect of the intervention on child anthropometric outcomes.
Results: The analysis included 3,858 children with anthropometric data from four cross-sectional survey rounds. The LEAPS intervention was found to have a positive effect on child HAZ (mean difference: 0.13 z-scores; 95% confidence interval (CI): 0.02, 0.24). However, there was a negative effect on weight-based anthropometric indicators, -0.29 WHZ (95% CI: -0.42, -0.15), -0.13 BMIZ (95% CI: -0.23, -0.03), and -0.16 MUACZ (95% CI: -0.25, -0.05). An exploratory analysis suggested that the magnitude of the negative effect of LEAPS on WHZ, BMIZ, and WAZ was greater in the survey round during the COVID-19 lockdown.
Discussion: The LEAPS intervention positively affected child linear growth but had negative effects on multiple weight-based anthropometric measures. ECCE programs in low- and middle-income country settings should evaluate the integration of nutrition-specific interventions (e.g., school lunch, counseling on healthy diets) and infection control strategies to promote children's healthy growth and development.
2023-12-01T05:00:00ZSimple dietary substitutions can reduce carbon footprints and improve dietary quality across diverse segments of the US populationGrummon, AnnaLee, Cristina J YRobinson, Thomas NRimm, Eric BRose, Donaldhttps://nrs.harvard.edu/1/373775562023-12-20T18:12:02Z2023-10-26T04:00:00ZSimple dietary substitutions can reduce carbon footprints and improve dietary quality across diverse segments of the US population
Grummon, Anna; Lee, Cristina J Y; Robinson, Thomas N; Rimm, Eric B; Rose, Donald
Changing what foods we eat could reduce environmental harms and improve human health, but sweeping dietary change is challenging. We used dietary intake data from a nationally representative sample of 7,753 US children and adults to identify simple, actionable dietary substitutions from higher- to lower-carbon foods (e.g., substituting chicken for beef in mixed dishes like burritos, but making no other changes to the diet). We simulated the potential impact of these substitutions on dietary carbon emissions and dietary quality. If all consumers who ate the high-carbon foods instead consumed a lower-carbon substitute, the total dietary carbon footprint in the US would be reduced by more than 35%. Moreover, if adopted, these substitutions would improve consumers’ overall dietary quality by 4%–10%, with benefits projected for all age, gender, and racial/ethnic groups. These results suggest a “small changes” approach could be a valuable starting point for addressing diet’s impact on climate and health.
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2023-10-26T04:00:00ZFunctional characterization of Alzheimer’s disease genetic variants in microgliaYang, XiaoyuWen, JiaYang, HanJones, IanZhu, XiaodongLiu, WeifangLi, BingkunClelland, ClaireLuo, WenjieWong, Man YongRen, XingjieCui, XiekuiSong, MichaelLiu, HongjiangChen, CadyEng, NicholasRavichandran, MirunaliniSun, YangLee, DavidVan Buren, EricJiang, Min-ZhiChan, CandaceChun, Jimmie YePerera, RushikaGan, LiLi, YunShen, Yinhttps://nrs.harvard.edu/1/373775272023-12-15T20:38:59Z2023-09-21T04:00:00ZFunctional characterization of Alzheimer’s disease genetic variants in microglia
Yang, Xiaoyu; Wen, Jia; Yang, Han; Jones, Ian; Zhu, Xiaodong; Liu, Weifang; Li, Bingkun; Clelland, Claire; Luo, Wenjie; Wong, Man Yong; Ren, Xingjie; Cui, Xiekui; Song, Michael; Liu, Hongjiang; Chen, Cady; Eng, Nicholas; Ravichandran, Mirunalini; Sun, Yang; Lee, David; Van Buren, Eric; Jiang, Min-Zhi; Chan, Candace; Chun, Jimmie Ye; Perera, Rushika; Gan, Li; Li, Yun; Shen, Yin
2023-09-21T04:00:00Z