<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>123(7)</volume><submitter>Todd N</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>The temperature-mortality relationship has repeatedly been found, mostly in large cities, to be U/J-shaped, with higher minimum mortality temperature (MMT) at low latitudes being interpreted as indicating human adaptation to climate.&lt;h4>Objectives&lt;/h4>Our aim was to partition space with a high-resolution grid to assess the temperature-mortality relationship in a territory with wide climate diversity, over a period with notable climate warming.&lt;h4>Methods&lt;/h4>The 16,487,668 death certificates of persons > 65 years of age who died of natural causes in continental France (1968-2009) were analyzed. A 30-km × 30-km grid was placed over the map of France. Generalized additive model regression was used to assess the temperature-mortality relationship for each grid square, and extract the MMT and the RM25 and RM25/18 (respectively, the ratios of mortality at 25°C/MMT and 25°C/18°C). Three periods were considered: 1968-1981 (P1), 1982-1995 (P2), and 1996-2009 (P3).&lt;h4>Results&lt;/h4>All temperature-mortality curves computed over the 42-year period were U/J-shaped. MMT and mean summer temperature were strongly correlated. Mean MMT increased from 17.5°C for P1 to 17.8°C for P2 and to 18.2°C for P3 and paralleled the summer temperature increase observed between P1 and P3. The temporal MMT rise was below that expected from the geographic analysis. The RM25/18 ratio of mortality at 25°C versus that at 18°C declined significantly (p = 5 × 10-5) as warming increased: 18% for P1, 16% for P2, and 15% for P3.&lt;h4>Conclusions&lt;/h4>Results of this spatiotemporal analysis indicated some human adaptation to climate change, even in rural areas.</pubmed_abstract><journal>Environmental health perspectives</journal><pagination>659-64</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4492259</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Space-Time Covariation of Mortality with Temperature: A Systematic Study of Deaths in France, 1968-2009.</pubmed_title><pmcid>PMC4492259</pmcid><pubmed_authors>Valleron AJ</pubmed_authors><pubmed_authors>Todd N</pubmed_authors></additional><is_claimable>false</is_claimable><name>Space-Time Covariation of Mortality with Temperature: A Systematic Study of Deaths in France, 1968-2009.</name><description>&lt;h4>Background&lt;/h4>The temperature-mortality relationship has repeatedly been found, mostly in large cities, to be U/J-shaped, with higher minimum mortality temperature (MMT) at low latitudes being interpreted as indicating human adaptation to climate.&lt;h4>Objectives&lt;/h4>Our aim was to partition space with a high-resolution grid to assess the temperature-mortality relationship in a territory with wide climate diversity, over a period with notable climate warming.&lt;h4>Methods&lt;/h4>The 16,487,668 death certificates of persons > 65 years of age who died of natural causes in continental France (1968-2009) were analyzed. A 30-km × 30-km grid was placed over the map of France. Generalized additive model regression was used to assess the temperature-mortality relationship for each grid square, and extract the MMT and the RM25 and RM25/18 (respectively, the ratios of mortality at 25°C/MMT and 25°C/18°C). Three periods were considered: 1968-1981 (P1), 1982-1995 (P2), and 1996-2009 (P3).&lt;h4>Results&lt;/h4>All temperature-mortality curves computed over the 42-year period were U/J-shaped. MMT and mean summer temperature were strongly correlated. Mean MMT increased from 17.5°C for P1 to 17.8°C for P2 and to 18.2°C for P3 and paralleled the summer temperature increase observed between P1 and P3. The temporal MMT rise was below that expected from the geographic analysis. The RM25/18 ratio of mortality at 25°C versus that at 18°C declined significantly (p = 5 × 10-5) as warming increased: 18% for P1, 16% for P2, and 15% for P3.&lt;h4>Conclusions&lt;/h4>Results of this spatiotemporal analysis indicated some human adaptation to climate change, even in rural areas.</description><dates><release>2015-01-01T00:00:00Z</release><publication>2015 Jul</publication><modification>2025-04-04T11:06:51.673Z</modification><creation>2019-03-27T01:54:36Z</creation></dates><accession>S-EPMC4492259</accession><cross_references><pubmed>25803836</pubmed><doi>10.1289/ehp.1307771</doi></cross_references></HashMap>