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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2023.1192223</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Factors explaining seasonal variation in energy intake: a review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Fujihira</surname>
<given-names>Kyoko</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2254028/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Takahashi</surname>
<given-names>Masaki</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1524768/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Chunyi</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hayashi</surname>
<given-names>Naoyuki</given-names>
</name>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1861463/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Institute for Liberal Arts, Tokyo Institute of Technology</institution>, <addr-line>Tokyo</addr-line>, <country>Japan</country></aff>
<aff id="aff2"><sup>2</sup><institution>Japan Society for the Promotion of Science</institution>, <addr-line>Tokyo</addr-line>, <country>Japan</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Social and Human Sciences, Tokyo Institute of Technology</institution>, <addr-line>Tokyo</addr-line>, <country>Japan</country></aff>
<aff id="aff4"><sup>4</sup><institution>Faculty of Sport Sciences, Waseda University</institution>, <addr-line>Saitama</addr-line>, <country>Japan</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001"><p>Edited by: Megan A. McCrory, Boston University, United States</p></fn>
<fn fn-type="edited-by" id="fn0002"><p>Reviewed by: Jonathan Kershaw, Bowling Green State University, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Kyoko Fujihira, <email>fujihira.k.ac@m.titech.ac.jp</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>07</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1192223</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>03</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>06</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Fujihira, Takahashi, Wang and Hayashi.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Fujihira, Takahashi, Wang and Hayashi</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Maintaining a balance between energy intake and expenditure is crucial for overall health. There are seasonal variations in energy intake, with an increase during spring and winter as well as a decrease during summer. These variations are related to a combination of environmental factors, including changes in temperature and daylight hours; social factors, including events and holidays; and physiological factors, including changes in physical activity and emotions. Accordingly, this review aimed to summarize the environmental, social, and physiological factors that contribute to seasonal variations in energy intake. A review of the current literature revealed that changes in temperature and daylight hours may affect eating behavior by altering homeostatic responses and appetite-related hormones. Additionally, increased participation in events and frequency of eating out, especially during winter vacations, may contribute to increased energy intake. Notably, these findings may not be generalisable to all populations since environmental and social factors can vary significantly depending on the local climatic zones and cultural backgrounds. The findings of the present review indicate that seasonal climate, events, and associated hormonal changes should be taken into account in order to maintain adequate energy intake throughout the year.</p>
</abstract>
<kwd-group>
<kwd>season</kwd>
<kwd>food intake</kwd>
<kwd>appetite</kwd>
<kwd>temperature</kwd>
<kwd>spring</kwd>
<kwd>summer</kwd>
<kwd>fall</kwd>
<kwd>winter</kwd>
</kwd-group>
<contract-num rid="cn1">21J01065</contract-num>
<contract-sponsor id="cn1">Grant-in-Aid for JSPS Research Fellow</contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="50"/>
<page-count count="7"/>
<word-count count="4964"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nutritional Epidemiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec1" sec-type="intro">
<title>Introduction</title>
<p>Obesity is a global public health concern since it can lead to chronic diseases such as diabetes and cancer (<xref ref-type="bibr" rid="ref1">1</xref>). According to the World Health Organization, the global obesity rate nearly tripled between 1975 and 2016 (<xref ref-type="bibr" rid="ref2">2</xref>). Malnutrition, or a lack of sufficient energy intake from the diet among older individuals, is another major health concern. Older adults are at risk of nutritional deficiencies, including anorexia, poor digestion, and nutrient absorption (<xref ref-type="bibr" rid="ref3">3</xref>). Obesity and malnutrition result from an imbalance between dietary energy intake and expenditure. Therefore, it is important to identify factors that contribute to fluctuations in energy intake from the daily diet in order to maintain a proper energy balance as well as prevent obesity and malnutrition.</p>
<p>Previous meta-analyzes have identified season as a contributing factor to variations in dietary energy intake (<xref ref-type="bibr" rid="ref4">4</xref>). The pattern of variation in energy intake varies across studies. Meta-analyzes of energy intake during the four seasons (spring, summer, fall, and winter) showed that energy intake was higher in spring than in winter or summer (<xref ref-type="bibr" rid="ref4">4</xref>). Furthermore, several studies have shown that energy intake is lower in the summer (<xref ref-type="bibr" rid="ref5">5</xref>&#x2013;<xref ref-type="bibr" rid="ref8">8</xref>).</p>
<p>Food availability is often mentioned as a factor influencing seasonal variations in energy intake (<xref ref-type="bibr" rid="ref4">4</xref>), however, other candidate factors influencing seasonal variations in energy intake include environmental factors such as temperature (<xref ref-type="bibr" rid="ref9">9</xref>) and daylight hours (<xref ref-type="bibr" rid="ref5">5</xref>), social factors such as events and holidays (<xref ref-type="bibr" rid="ref10">10</xref>), and physiological factors such as emotions (<xref ref-type="bibr" rid="ref6">6</xref>) and physiological activity (<xref ref-type="bibr" rid="ref11">11</xref>) have not been sufficiently discussed. The influence of environmental, social, and physiological factors on the seasonal variations in energy intake remain unclear.</p>
<p>Determining the factors influencing seasonal changes in energy intake can facilitate the identification of potential contributors to overeating and undernutrition, and thus inform preventive interventions. Therefore, this study aimed to summarize the environmental, social, and physiological factors influencing seasonal variations in energy intake as well as the current literature regarding appropriate energy intake throughout the year.</p>
<sec id="sec2">
<title>Seasonal variations in energy intake</title>
<p>The seasonal variations in energy intake summarized in <xref rid="tab1" ref-type="table">Table 1</xref> have inconsistent findings. A meta-analysis of studies on seasonal variations in energy intake conducted until 2015 reported that energy intake was greater during spring than during winter and summer; further, it was greater during winter than during summer (<xref ref-type="bibr" rid="ref4">4</xref>). Other studies conducted after 2015 have reported inconsistent findings regarding seasonal variations in energy intake. A study on individuals aged &#x2265;65&#x2009;years living in Ankara Province, Turkey, observed greater energy intake during winter than other seasons (<xref ref-type="bibr" rid="ref6">6</xref>). Specifically, energy intake during winter was higher by &#x2265;557&#x2009;kcal and&#x2009;&#x2265;&#x2009;343&#x2009;kcal in men and women, respectively than the energy intake during other seasons (<xref ref-type="bibr" rid="ref6">6</xref>). Another study of adults aged over 45&#x2009;years in the Ommoord district of Rotterdam, the Netherlands, utilizing a cosinor linear mixed model, revealed that energy intake was the highest in November and the lowest in May (<xref ref-type="bibr" rid="ref7">7</xref>). In turn, a comprehensive study examining energy intake data from more than 44,000 individuals aged 18&#x2013;85&#x2009;years across nine groups in four countries (France, New Zealand, Russia, and Switzerland) revealed no statistically significant variations in energy intake (<xref ref-type="bibr" rid="ref28">28</xref>). A Spanish study of individuals aged &#x2265;55 observed greater energy intake during spring and fall than during summer (<xref ref-type="bibr" rid="ref5">5</xref>); moreover, energy intake at lunch was greater during spring than during summer (<xref ref-type="bibr" rid="ref5">5</xref>). A US study on individuals aged 40&#x2013;60&#x2009;years found no significant seasonal variations in energy intake. Taken together, there have been similar but inconsistent findings indicating greater energy intake during winter and spring as well as lower energy intake during summer. This inconsistency could be attributed to the differences in the regional climate and culture of food intake.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>The study locations, energy intake assessment, and energy intake across seasons.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Author</th>
<th align="left" valign="top" rowspan="2">City or Region/Country</th>
<th align="center" valign="top" rowspan="2">Number of participants</th>
<th align="left" valign="top" rowspan="2">Energy intake assessment/Period</th>
<th align="center" valign="top" colspan="4">Energy intake by each season (kcal)</th>
</tr>
<tr>
<th align="center" valign="top">Spring</th>
<th align="center" valign="top">Summer</th>
<th align="center" valign="top">Fall</th>
<th align="center" valign="top">Winter</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Aparicio-Ugarriza et al. (<xref ref-type="bibr" rid="ref5">5</xref>)</td>
<td align="left" valign="top">Madrid/Spain</td>
<td align="center" valign="top">28</td>
<td align="left" valign="top">24&#x2009;h recall/twice in each season</td>
<td align="center" valign="top">2,137&#x2009;&#x00B1;&#x2009;152<sup>&#x2020;</sup></td>
<td align="center" valign="top">1,646&#x2009;&#x00B1;&#x2009;108</td>
<td align="center" valign="top">1,965&#x2009;&#x00B1;&#x2009;121<sup>&#x2020;</sup></td>
<td align="center" valign="top">1,708&#x2009;&#x00B1;&#x2009;89</td>
</tr>
<tr>
<td align="left" valign="top">Arnaud et al. (<xref ref-type="bibr" rid="ref12">12</xref>)</td>
<td align="left" valign="top">Havana/Cuba</td>
<td align="center" valign="top">106</td>
<td align="left" valign="top">Food record/7&#x2009;days</td>
<td align="center" valign="top">1,676&#x2009;&#x00B1;&#x2009;473</td>
<td align="center" valign="top">1,628&#x2009;&#x00B1;&#x2009;493</td>
<td align="center" valign="top">1,615&#x2009;&#x00B1;&#x2009;437</td>
<td align="center" valign="top">1,580&#x2009;&#x00B1;&#x2009;442</td>
</tr>
<tr>
<td align="left" valign="top">Behall et al. (<xref ref-type="bibr" rid="ref13">13</xref>)</td>
<td align="left" valign="top">United States</td>
<td align="center" valign="top">29</td>
<td align="left" valign="top">Food record/7&#x2009;days<sup>||</sup></td>
<td align="center" valign="top">Males: 2,783&#x2009;&#x00B1;&#x2009;194<break/>Females: 1,863&#x2009;&#x00B1;&#x2009;110</td>
<td align="center" valign="top">Males: 2,806&#x2009;&#x00B1;&#x2009;209<break/>Females: 1,791&#x2009;&#x00B1;&#x2009;90</td>
<td align="center" valign="top">Males: 2,779&#x2009;&#x00B1;&#x2009;200<break/>Females: 1,879&#x2009;&#x00B1;&#x2009;87</td>
<td align="center" valign="top">Males: 2,775&#x2009;&#x00B1;&#x2009;196<break/>Females: 1,791&#x2009;&#x00B1;&#x2009;90</td>
</tr>
<tr>
<td align="left" valign="top">Bernstein et al. (<xref ref-type="bibr" rid="ref14">14</xref>)</td>
<td align="left" valign="top">Washington, DC/United States</td>
<td align="center" valign="top">76</td>
<td align="left" valign="top">Food record/3&#x2013;7&#x2009;days</td>
<td align="center" valign="top">2,110&#x2009;&#x00B1;&#x2009;627</td>
<td align="center" valign="top">2,301&#x2009;&#x00B1;&#x2009;642</td>
<td align="center" valign="top">2,200&#x2009;&#x00B1;&#x2009;581</td>
<td align="center" valign="top">2,248&#x2009;&#x00B1;&#x2009;638</td>
</tr>
<tr>
<td align="left" valign="top">Capita and Alonso-Calleja (<xref ref-type="bibr" rid="ref15">15</xref>)</td>
<td align="left" valign="top">Leo&#x2019;n /Spain</td>
<td align="center" valign="top">303</td>
<td align="left" valign="top">Food records/7&#x2009;days</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">Males: 2,032&#x2009;&#x00B1;&#x2009;508<break/>Females: 2,080&#x2009;&#x00B1;&#x2009;433</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">Males: 2,913&#x2009;&#x00B1;&#x2009;433<sup>&#x2020;</sup> Females: 2,186&#x2009;&#x00B1;&#x2009;536</td>
</tr>
<tr>
<td align="left" valign="top">Ersoy et al. (<xref ref-type="bibr" rid="ref6">6</xref>)</td>
<td align="left" valign="top">Ankara/Turkey</td>
<td align="center" valign="top">31</td>
<td align="left" valign="top">Food record/3&#x2009;days</td>
<td align="center" valign="top">Males: 1,638&#x2009;&#x00B1;&#x2009;435<sup>&#x00A7;</sup><break/>Females: 1,747&#x2009;&#x00B1;&#x2009;534<sup>&#x00A7;</sup></td>
<td align="center" valign="top">Males: 1,655&#x2009;&#x00B1;&#x2009;401<break/>Females: 1,544&#x2009;&#x00B1;&#x2009;379</td>
<td align="center" valign="top">Males: 1,751&#x2009;&#x00B1;&#x2009;471<sup>&#x2020;</sup><break/>Females: 1,827&#x2009;&#x00B1;&#x2009;574<sup>&#x2020;</sup></td>
<td align="center" valign="top">Males: 2,232&#x2009;&#x00B1;&#x2009;504<sup>&#x2020;</sup><break/>Females: 1,887&#x2009;&#x00B1;&#x2009;562<sup>&#x2020;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Fowke et al. (<xref ref-type="bibr" rid="ref16">16</xref>)</td>
<td align="left" valign="top">Shanghai/China</td>
<td align="center" valign="top">74,958</td>
<td align="left" valign="top">FFQ</td>
<td align="center" valign="top">1,692</td>
<td align="center" valign="top">1,648</td>
<td align="center" valign="top">1,647</td>
<td align="center" valign="top">1,665<sup>&#x2020;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Fyfe et al. (<xref ref-type="bibr" rid="ref17">17</xref>)</td>
<td align="left" valign="top">north-east Scotland/United Kingdom</td>
<td align="center" valign="top">260</td>
<td align="left" valign="top">Food records/7&#x2009;days</td>
<td align="center" valign="top">Males: 2,225&#x2009;&#x00B1;&#x2009;344<break/>Females: 2,132&#x2009;&#x00B1;&#x2009;234<sup>&#x2020;&#x2021;</sup></td>
<td align="center" valign="top">Males: 2,488&#x2009;&#x00B1;&#x2009;176<break/>Females: 1,938&#x2009;&#x00B1;&#x2009;146</td>
<td align="center" valign="top">Males:  2,505&#x2009;&#x00B1;&#x2009;249<break/>Females: 1,896&#x2009;&#x00B1;&#x2009;167</td>
<td align="center" valign="top">Males: 2,174&#x2009;&#x00B1;&#x2009;359<break/>Females: 1,942&#x2009;&#x00B1;&#x2009;249<sup>&#x2020;&#x2021;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Ja Lee et al. (<xref ref-type="bibr" rid="ref9">9</xref>)</td>
<td align="left" valign="top">Kentucky/United States</td>
<td align="center" valign="top">130</td>
<td align="left" valign="top">Food record/7&#x2009;days</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">1,450&#x2009;&#x00B1;&#x2009;384</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">1,549&#x2009;&#x00B1;&#x2009;372<sup>&#x2020;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Jahns et al. (<xref ref-type="bibr" rid="ref10">10</xref>)</td>
<td align="left" valign="top">North Dakota/United States</td>
<td align="center" valign="top">52</td>
<td align="left" valign="top">24&#x2009;h recall/NM</td>
<td align="center" valign="top">1,900</td>
<td align="center" valign="top">1,941</td>
<td align="center" valign="top">1,935</td>
<td align="center" valign="top">1,940</td>
</tr>
<tr>
<td align="left" valign="top">Ma et al. (<xref ref-type="bibr" rid="ref18">18</xref>)</td>
<td align="left" valign="top">Massachusetts/United States</td>
<td align="center" valign="top">593</td>
<td align="left" valign="top">24&#x2009;h recall/3&#x2009;days</td>
<td align="center" valign="top">1,942 (SE 23.4)</td>
<td align="center" valign="top">1,956 (SE 23.5)</td>
<td align="center" valign="top">1,987 (SE 23.4)</td>
<td align="center" valign="top">1,958 (SE 22.9)</td>
</tr>
<tr>
<td align="left" valign="top">Mansour et al. (<xref ref-type="bibr" rid="ref19">19</xref>)</td>
<td align="left" valign="top">Tehran/Iran</td>
<td align="center" valign="top">30</td>
<td align="left" valign="top">Food record/3&#x2009;days</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Prasad et al. (<xref ref-type="bibr" rid="ref20">20</xref>)</td>
<td align="left" valign="top">Finland</td>
<td align="center" valign="top">4,880</td>
<td align="left" valign="top">FFQ</td>
<td align="center" valign="top">2,723&#x2009;&#x00B1;&#x2009;817</td>
<td align="center" valign="top">2,723&#x2009;&#x00B1;&#x2009;795</td>
<td align="center" valign="top">2,771&#x2009;&#x00B1;&#x2009;786</td>
<td align="center" valign="top">2,723&#x2009;&#x00B1;&#x2009;810</td>
</tr>
<tr>
<td align="left" valign="top">Rao et al. (<xref ref-type="bibr" rid="ref21">21</xref>)</td>
<td align="left" valign="top">Pune/India</td>
<td align="center" valign="top">797</td>
<td align="left" valign="top">Food record/1&#x2009;day 24&#x2009;h recall/1&#x2009;day</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top"><underline>1,665</underline> (444&#x2013;3,755)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top"><underline>1,863</underline><sup>&#x2020;</sup> (617&#x2013;3,762)</td>
</tr>
<tr>
<td align="left" valign="top">Rossato et al. (<xref ref-type="bibr" rid="ref22">22</xref>)</td>
<td align="left" valign="top">Rio Grande do Sul/Brazil</td>
<td align="center" valign="top">143</td>
<td align="left" valign="top">24&#x2009;h recall/NM</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Sasaki et al (<xref ref-type="bibr" rid="ref23">23</xref>)</td>
<td align="left" valign="top">Iwate, Akita, Nagano, Okinawa/Japan</td>
<td align="center" valign="top">215</td>
<td align="left" valign="top">Food record/4&#x2013;7&#x2009;days</td>
<td align="center" valign="top">2,447&#x2009;&#x00B1;&#x2009;457</td>
<td align="center" valign="top">2,466&#x2009;&#x00B1;&#x2009;4972,350&#x2009;&#x00B1;&#x2009;505 (including Okinawa)</td>
<td align="center" valign="top">2,491&#x2009;&#x00B1;&#x2009;449</td>
<td align="center" valign="top">2,415&#x2009;&#x00B1;&#x2009;4132,322&#x2009;&#x00B1;&#x2009;437 (including Okinawa)</td>
</tr>
<tr>
<td align="left" valign="top">Tokudome et al. (<xref ref-type="bibr" rid="ref24">24</xref>)</td>
<td align="left" valign="top">Aichi/Japan</td>
<td align="center" valign="top">80</td>
<td align="left" valign="top">Food record/7&#x2009;days</td>
<td align="center" valign="top">1,811&#x2009;&#x00B1;&#x2009;348</td>
<td align="center" valign="top">1,792&#x2009;&#x00B1;&#x2009;362</td>
<td align="center" valign="top">1,852&#x2009;&#x00B1;&#x2009;346</td>
<td align="center" valign="top">1,825&#x2009;&#x00B1;&#x2009;352</td>
</tr>
<tr>
<td align="left" valign="top">van der Toorn et al. (<xref ref-type="bibr" rid="ref7">7</xref>)</td>
<td align="left" valign="top">Rotterdam/Netherland</td>
<td align="center" valign="top">9,701</td>
<td align="left" valign="top">FFQ</td>
<td align="center" valign="top"><underline>1,984</underline> (IQR: 1,654&#x2013;2,391)</td>
<td align="center" valign="top"><underline>1,982</underline> (IQR: 1,625&#x2013;2,371)</td>
<td align="center" valign="top"><underline>2,021</underline> (IQR: 1,657&#x2013;2,416)</td>
<td align="center" valign="top"><underline>2,001</underline> (IQR: 1,671&#x2013;2,396)</td>
</tr>
<tr>
<td align="left" valign="top">Westerterp et al. (<xref ref-type="bibr" rid="ref25">25</xref>)</td>
<td align="left" valign="top">Netherland</td>
<td align="center" valign="top">52</td>
<td align="left" valign="top">Food records/7&#x2009;days</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">2,031&#x2009;&#x00B1;&#x2009;286</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">2,246&#x2009;&#x00B1;&#x2009;334</td>
</tr>
<tr>
<td align="left" valign="top">Zhu et al. (<xref ref-type="bibr" rid="ref26">26</xref>)</td>
<td align="left" valign="top">Shanghai/China</td>
<td align="center" valign="top">1,704</td>
<td align="left" valign="top">Food record/3&#x2009;days</td>
<td align="center" valign="top">2,138<sup>&#x2020;</sup></td>
<td align="center" valign="top">1,964</td>
<td align="center" valign="top">2,084</td>
<td align="center" valign="top">2,008</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Mean&#x2009;&#x00B1;&#x2009;standard deviation, kJ and MJ have been converted to kcal.</p>
<p>IQR: interquartile range (75% quartile &#x2013; 25% quartile), SE: standard error, Underlines indicate median values. FFQ: food frequency questionnaire, NM: not mentioned.</p>
<p>&#x002A; vs Spring, <sup>&#x2020;</sup> vs Summer, <sup>&#x2021;</sup> vs Fall, <sup>&#x00A7;</sup> vs Winter. <sup>||</sup> The period of the energy intake assessment is based on previous literature (<xref ref-type="bibr" rid="ref27">27</xref>).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec3">
<title>Types of seasons</title>
<p>Seasons refer to the several divisions of the year marked by specific changes in weather, temperature, ecology, and daylight hours. The classification of seasons varies across countries and climate zones. In temperate zones, including East Asia and Europe, the year is divided into four seasons (spring, summer, fall, and winter) according to the annual climatic changes. In the tropics or equatorial zones, including Southeast Asia, South America, and parts of Africa, the year is divided into wet and dry seasons since they experience significant changes in the rainfall amount but not in the temperature. There are regions of the world where the weather is relatively stable throughout the year, with no distinct seasons. Such regions include part of tropical areas, for example, Singapore, parts of Hawaii, and the islands of the Caribbean Sea.</p>
<p>Seasonal variations in energy intake have been examined in different areas, including Europe [Spain (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref15">15</xref>), United Kingdom (<xref ref-type="bibr" rid="ref17">17</xref>), Netherlands (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref25">25</xref>), Finland (<xref ref-type="bibr" rid="ref20">20</xref>), Turkey (<xref ref-type="bibr" rid="ref6">6</xref>)], North America [United States (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref18">18</xref>)], Central America [Cuba (<xref ref-type="bibr" rid="ref12">12</xref>)], South America [Brazil (<xref ref-type="bibr" rid="ref22">22</xref>)], Asia [China (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref26">26</xref>), Japan (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref24">24</xref>), India (<xref ref-type="bibr" rid="ref21">21</xref>), Iran (<xref ref-type="bibr" rid="ref19">19</xref>)] (<xref rid="tab1" ref-type="table">Table 1</xref>). Notably, these countries belong to different climate zones with widely varying temperatures and sunlight hours, even during the same season.</p>
</sec>
</sec>
<sec id="sec4">
<title>Methods for energy intake assessment</title>
<p>The 24&#x2009;h recall method (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref22">22</xref>), food frequency questionnaire (FFQ) (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref20">20</xref>), and dietary records (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref12">12</xref>&#x2013;<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref23">23</xref>&#x2013;<xref ref-type="bibr" rid="ref26">26</xref>) have been used to assess seasonal changes in energy intake. The 24-h recall method involves accurately recalling and describing the intake of all food and drink consumed within 24&#x2009;h before an investigator-led interview (<xref ref-type="bibr" rid="ref29">29</xref>). Interviews are conducted in person or via telephone or data are collected through online reporting via the Internet. The FFQ estimates the frequency of daily food intake over a time period (<xref ref-type="bibr" rid="ref30">30</xref>). Specifically, the questionnaire assesses the intake frequency of each food and the amount of each food per intake. The dietary record method involves recording the food and drink consumed by an individual during a specified period (<xref ref-type="bibr" rid="ref31">31</xref>) using either of the following two methods: the weighing method, in which the weight of food and drink is measured using a scale, and the non-weighing method, in which the approximate amounts of food and drink are recorded.</p>
<p>The dietary survey methods, period, study locations, and energy intake results of previous studies investigating seasonal variation in energy intake are summarized in <xref rid="tab1" ref-type="table">Table 1</xref>. Across these studies, the employed dietary survey methods, including 24-h recall, dietary records, and FFQ, and the number of days for conducting the surveys varied across studies. No definitive relationship can be established between dietary survey methods and seasonal variation in energy intake. Significantly, it is essential to acknowledge that when conducting comparisons of seasonal variations in energy intake among studies, there exists a possibility of encountering potential biases stemming from variations in the utilized dietary survey methods and the period of the survey.</p>
</sec>
<sec id="sec5">
<title>Factors influencing seasonal variability in energy intake</title>
<p>Environmental, social, and physiological factors associated with seasonal variations in energy were shown in <xref rid="fig1" ref-type="fig">Figure 1</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Summarizes the factors influencing seasonal variations in energy intake.</p>
</caption>
<graphic xlink:href="fnut-10-1192223-g001.tif"/>
</fig>
<sec id="sec6">
<title>Food availability</title>
<p>Food availability varies widely by season in some countries, which may impact energy intake. Actually, in areas with pronounced seasonal fluctuations in food availability, individuals tend to consume more food and calories during seasons when food is more abundant (<xref ref-type="bibr" rid="ref21">21</xref>). This can result in substantial variations in energy intake, particularly in developing and rural areas where food availability is heavily influenced by seasonal changes. For instance, food availability may increase during the post-harvest season, leading to a rise in energy intake, while food depletion may occur during the pre-harvest season, causing a decline in energy intake (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref32">32</xref>). Conversely, in regions with year-round food availability, such as tropical areas, seasonal variation in energy intake may be less pronounced. Nonetheless, seasonal differences in the types of food available can still affect energy intake, thereby influencing dietary patterns and overall energy intake levels.</p>
</sec>
<sec id="sec7">
<title>Ambient temperature and energy intake</title>
<p>Ambient temperature, which relates seasonal changes, is known to influence human energy intake (<xref ref-type="bibr" rid="ref9">9</xref>). A meta-analysis of the effects of ambient temperature on subsequent energy intake at rest and during exercise revealed a small increase and decrease in energy intake under cold and hot conditions, respectively (<xref ref-type="bibr" rid="ref33">33</xref>). For example, after 5.5&#x2009;h of thermal exposure at different temperatures (10&#x00B0;C, 20&#x00B0;C, and 30&#x00B0;C), the subsequent energy intake decreased at 30&#x00B0;C compared with that at 10&#x00B0;C and 20&#x00B0;C (<xref ref-type="bibr" rid="ref34">34</xref>).</p>
<p>The influence of ambient temperature on energy intake could partly involve appetite-related hormones (<xref ref-type="bibr" rid="ref35">35</xref>&#x2013;<xref ref-type="bibr" rid="ref37">37</xref>), which are known to be influenced by ambient temperature. Ambient temperatures are positively correlated with the levels of leptin (<xref ref-type="bibr" rid="ref35">35</xref>) and peptide YY (<xref ref-type="bibr" rid="ref36">36</xref>), which are negatively associated with appetite. Cold exposure has been shown to increase ghrelin levels (<xref ref-type="bibr" rid="ref37">37</xref>), which is positively associated with appetite, and decrease leptin levels (<xref ref-type="bibr" rid="ref35">35</xref>). A study on seasonal variations in serum leptin levels in young and elderly participants reported that elderly individuals presented higher leptin levels during summer than during spring (<xref ref-type="bibr" rid="ref38">38</xref>). Variations in the secretion of these appetite-related hormones according to the ambient temperature may contribute to seasonal variations in energy intake.</p>
<p>The variation in temperature across climatic zones and regions, even during the same season, may explain the diverse outcomes observed in the seasonal variations in energy intake across different regions. For example, the mean ambient temperature during summer in Iran is 10&#x00B0;C hotter than that in the Netherlands (<xref ref-type="bibr" rid="ref39">39</xref>). Therefore, it is important to consider the specific climate of the region when interpreting energy intake patterns during different seasons.</p>
</sec>
<sec id="sec8">
<title>Daylight hours and energy intake: effect of serotonin</title>
<p>Serotonin, which is a neurotransmitter involved in regulating appetite, may partly contribute to seasonal variations in energy intake. The secretion of serotonin in the brain is closely tied to daylight hours, with serotonin turnover being the lowest during winter (<xref ref-type="bibr" rid="ref40">40</xref>). On the other hand, the expression of 5-HT1A receptors, which bind serotonin, tend to be higher during summer than during winter in healthy men (<xref ref-type="bibr" rid="ref41">41</xref>). Moreover, seasonal changes in serotonin secretion may contribute to seasonal variations in energy intake (<xref ref-type="bibr" rid="ref5">5</xref>). Serotonin regulates feeding and satiety (<xref ref-type="bibr" rid="ref42">42</xref>). Taken together, seasonal changes in serotonin secretion, which may be influenced by daylight hours, may contribute to seasonal variations in energy intake. Daylight hours are generally longer during summer months and shorter during winter months, which may influence serotonin secretion and energy intake. The number of daylight hours vary greatly according to the latitude of the region. Therefore, it is important to consider the location of the study when analyzing and discussing seasonal variations in energy intake.</p>
</sec>
<sec id="sec9">
<title>Cultural holidays and energy intake</title>
<p>The fact that the frequency of events encouraging overeating varies across seasons may partially account for the seasonal variation in energy intake. Specifically, certain seasons, like the winter holiday season, often feature a concentration of events involving indulgent meals such as Thanksgiving Day, Christmas, and New Year&#x2019;s Day, which may result in increased caloric intake. Studies on obese adults have indicated that weight gain can occur due to elevated energy intake during winter vacations (<xref ref-type="bibr" rid="ref43">43</xref>). Additionally, research suggests that the frequency of eating out increases during the winter holiday season (<xref ref-type="bibr" rid="ref43">43</xref>), and the quality of healthy eating diminishes (<xref ref-type="bibr" rid="ref10">10</xref>). These seasonal events and the accompanying episodes of overeating can lead to short-term fluctuations in energy intake.</p>
</sec>
<sec id="sec10">
<title>Emotions and energy intake</title>
<p>The changing of seasons can affect people&#x2019;s emotions and appetite. Emotional states vary seasonally (<xref ref-type="bibr" rid="ref44">44</xref>) and affect eating behavior in humans (<xref ref-type="bibr" rid="ref45">45</xref>). For example, a variety of factors, such as cold winter weather and reduced exposure to daylight, can lead to depressed or low moods. Negative emotions and appetite have been reported to be associated, specifically young adults have higher energy intake on days when negative emotions are rated higher (<xref ref-type="bibr" rid="ref45">45</xref>). As a result, some people may turn to food for comfort during the winter months, preferring foods that are high in calories or sugar. Uncontrolled stress alters eating patterns and increases the consumption of highly desirable foods (<xref ref-type="bibr" rid="ref46">46</xref>). On the other hand, during winter, some individuals may experience a reduced appetite, which could be attributed to seasonal affective disorder-a type of depression that is linked to changes in season and light exposure (<xref ref-type="bibr" rid="ref47">47</xref>). This may lead to undereating and disinterest in food (<xref ref-type="bibr" rid="ref47">47</xref>).</p>
</sec>
<sec id="sec11">
<title>Physical activity and energy intake</title>
<p>There is a complex relationship between seasonal variations in energy expenditure and intake. Energy expenditure is related to an increase or decrease in energy consumption through the homeostatic function. Environmental factors, including temperature, can affect energy expenditure through changes in the metabolic rate and heat production, especially during sleep. For example, energy expenditure is known to vary with ambient temperature (<xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref49">49</xref>). Accordingly, compensatory changes in energy intake may occur to maintain energy balance. A previous study reported no significant seasonal changes in energy expenditure (<xref ref-type="bibr" rid="ref50">50</xref>); contrastingly, a review examining seasonal variations in physical activity and sedentary time found that both total and moderate-to-intense physical activity were higher during summer than during winter (<xref ref-type="bibr" rid="ref11">11</xref>). Moreover, the sitting time has been reported to be longer during winter than during spring or summer, with people preferring to sit on days with higher precipitation, cooler temperatures, and shorter daylight hours. Although total energy expenditure comprises more than just energy expenditure due to physical activity, seasonal differences in physical activity may result in compensatory changes in energy intake.</p>
</sec>
</sec>
<sec id="sec12" sec-type="discussions">
<title>Discussion</title>
<p>Seasonal variations in energy intake were not solely influenced by seasonal food availability, as previously considered. Environmental factors such as temperature and daylight hours can also play a role in influencing the seasonal variability of food intake. Social factors, such as seasonal vacations and events, can also impact energy intake. Moreover, physiological factors such as emotions and physical activity can also affect food choices and portion sizes, resulting in alterations in energy intake. Thus, seasonal energy intake is influenced by a combination of factors, including food availability, temperature, and emotions.</p>
<p>The impact of factors influencing seasonal variations in energy intake may be constrained in specific contexts. While food availability continues to exert a significant influence on energy intake in certain rural areas, studies indicate more limited effects in metropolitan areas. While temperature and daylight hours, which are linked to emotional and physical activity, can influence appetite, the modern environment characterized by controlled indoor temperatures and lighting may attenuate their effects on energy intake. Additionally, it is important to note that the events promoting overeating during specific seasons are contingent upon cultural and religious values.</p>
<p>Thus, the seasonal variability of energy intake is a complex phenomenon that is influenced by a variety of factors, including food availability, environmental factors, social factors, and physiological factors. Understanding these factors is essential to develop effective interventions that can help individuals maintain healthy and balanced diets throughout the year. Regulating daily food intake according to seasonal changes in appetite offers valuable insights into the effective management of obesity and undernutrition through diet. Future studies should incorporate data on climate zones, daylight hours, physical activity, and emotional states to comprehensively examine the factors involved in the seasonal variability of energy intake.</p>
</sec>
<sec id="sec13">
<title>Author contributions</title>
<p>All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.</p>
</sec>
<sec sec-type="funding-information" id="sec14">
<title>Funding</title>
<p>This study was supported by the Grant-in-Aid for JSPS Research Fellow under Grant 21J01065.</p>
</sec>
<sec sec-type="COI-statement" id="sec15">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
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