Interaction effects of night-time temperature and PM2.5 on preterm birth in Huai River Basin, China

Zhang, Huanhuan; Zhang, Xiaoan; Feng, Demin; Gao, Zhan; Gong, Yuting; Song, Shuaixing; Yu, Zengli; Huang, Cunrui

doi:10.1016/j.envint.2023.107729

Cited by 6 publications

(7 citation statements)

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“…As far as we know, only 2 studies conducted in China have explored the association between nighttime temperature extremes and PTB, and both reported positive associations. For instance, Zhang et al found that extreme heat exposure during the third trimester was strongly associated with PTB, with an adjusted OR of 1.90 (95% CI, 1.66-2.18). However, another study observed a susceptible heat extreme window during the second trimester, with an adjusted OR of 1.01 (95% CI, 1.00-1.02).…”

Section: Discussionmentioning

confidence: 99%

“…In this cohort study, we found that the susceptible exposure window for both daily extreme heat and nighttime extreme heat was primarily in the third trimester of pregnancy, which aligns with the findings of previous studies indicating a stronger association between extreme heat exposure and PTB during late pregnancy . Although previous research has mainly focused on the impact of daily mean temperature extremes, our study also highlights the significance of nighttime extreme heat, which has received relatively less attention.…”

Section: Discussionmentioning

confidence: 99%

“…Next, we calculated the daily mean temperature by averaging the 24-hour values. To capture nighttime temperature associated with heat exposure, we defined the nighttime period as 20:00 PM to 07:00 AM , aligning with the approach adopted in previous studies . Using the daily temperature values, we derived the mean and nocturnal temperature for each gestational week by averaging the temperature over every 7-day period.…”

Section: Methodsmentioning

confidence: 99%

“…To capture nighttime temperature associated with heat exposure, we defined the nighttime period as 20:00 PM to 07:00 AM, aligning with the approach adopted in previous studies. 21 Using the daily temperature values, we derived the mean and nocturnal temperature for each gestational week by averaging the temperature over every 7-day period. Then we estimated mean temperature and nighttime temperature for each trimester by averaging the weekly values: trimester 1 (1-12 weeks), trimester 2 (13-27 weeks), and trimester 3 (28-44 weeks).…”

Section: Key Pointsmentioning

confidence: 99%

“…Due to the absence of a standardized and consistent definition for temperature extremes, previous studies have used various percentiles of temperature to define extreme heat based on the temperature distribution. [21][22][23] We defined daily extreme heat and nighttime extreme heat as above the 95th percentile of the location-and trimester-specific daily mean and nighttime temperatures.…”

Section: Key Pointsmentioning

confidence: 99%

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Heat Exposure, Preterm Birth, and the Role of Greenness in Australia

Ye,

Guo,

Huang

et al. 2024

JAMA Pediatr

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ImportancePreterm birth (PTB) is associated with adverse health outcomes. The outcomes of heat exposure during pregnancy and the moderating association of greenness with PTB remain understudied.ObjectiveTo investigate associations between heat exposure, greenness, and PTB, as well as interactions between these factors.Design, Setting, and ParticipantsIncluded in this cohort study were births occurring in Sydney, New South Wales, Australia, between 2000 and 2020, retrieved from New South Wales Midwives Data Collection. Participants with incomplete or missing data on their residential address or those who resided outside of New South Wales during their pregnancy were excluded. Data were analyzed from March to October 2023.ExposuresGreenness measured using normalized difference vegetation index (NDVI) and tree cover derived from satellite images. Daily extreme heat and nighttime extreme heat were defined as above the 95th percentile of community- and trimester-specific daily mean temperatures and nighttime temperatures.Main Outcomes and MeasuresLogistic regression models estimated the independent association of extreme heat with PTB, adjusting for individual- and area-level covariates, season of conception, and long-term trend. An interaction term between extreme heat exposure and greenness was included to explore potential modification. With a significant interaction observed, the number of preventable heat-associated PTBs that were associated with greenness was estimated.ResultsA total of 1 225 722 births (median [IQR] age, 39 [38-40] weeks; 631 005 male [51.5%]) were included in the analysis, including 63 144 PTBs (median [IQR] age, 35 [34-36] weeks; 34 822 male [55.1%]). Compared with those without heat exposure, exposure to daily extreme heat and nighttime extreme heat in the third trimester was associated with increased risks of PTB, with an adjusted odds ratio (OR) of 1.61 (95% CI, 1.55-1.67) and 1.51 (95% CI, 1.46-1.56]), respectively (PTB rates: exposed, 4615 of 61 338 [7.5%] vs unexposed, 56 440 of 1 162 295 [4.9%] for daily extreme heat and 4332 of 61 337 [7.1%] vs 56 723 of 1 162 296 [4.9%] for nighttime extreme heat). Disparities in associations between extreme heat exposure and PTB were observed, with lower odds of PTB among pregnant individuals residing in greener areas. The associations between extreme heat exposure and PTB could be mitigated significantly by higher greenness. Improving NDVI and tree cover could reduce daily extreme heat-associated PTB by 13.7% (95% CI, 2.3%-15.1%) and 20.9% (95% CI, 5.8%-31.5%), respectively. For nighttime extreme heat-associated PTB, reductions were 13.0% (0.2%-15.4%) and 17.2% (4.1%-27.0%), respectively.Conclusions and RelevanceResults of this large birth cohort study suggest that extreme heat exposure was adversely associated with PTB, with greenness playing a moderating role. Increasing greenness levels in residential communities could prevent heat-associated PTBs. These findings emphasize the importance of integrating heat mitigation strategies and improving green space in urban planning and public health interventions.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Key Pointsmentioning

confidence: 99%

Section: Key Pointsmentioning

confidence: 99%

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