Evaluating physical activities in clinical diabetes: lifestyle scores hypothesis
The concept of lifestyle-based risk scores is known but not evaluated in most rural communities of low- to mid-income countries. This study investigated the correlation of lifestyle scores with health indices. This was a descriptive cross-sectional investigation. A total of 203 participants (141 fem...
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| Veröffentlicht in: | Primary health care research & development 2024-10, Vol.25, p.e50, Article e50 |
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| creator | Bwititi, Phillip Egwuenu, Solomon Oshionwu, Echinei Okuzor, John Odufu, Alex Ofili, Charles Nwose, Ezekiel Uba |
| description | The concept of lifestyle-based risk scores is known but not evaluated in most rural communities of low- to mid-income countries. This study investigated the correlation of lifestyle scores with health indices.
This was a descriptive cross-sectional investigation. A total of 203 participants (141 females and 62 males), 18-90 years, had anthropometric assessments and lifestyle scores determined from a 12-item framework. Data analysis included average age in different health conditions, lifestyle scores in age groups, and correlations with age.
Average age of healthy subpopulation was 39 years while diabetes, hypertension, and obesity subpopulations were 58, 64, and 56 years, respectively. The percentage of participants whose activities of daily living (ADL) were unaffected by ill-health decreased with age (
< 0.0001), and lifestyle scores also decreased with age (
< 0.01) and negatively correlated with physical activities.
This report contributes to diabetes cardiovascular complications management. Sedentary ADL factors need integration in healthy lifestyle education especially among the elderly. |
| doi_str_mv | 10.1017/S1463423624000434 |
| format | Article |
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This was a descriptive cross-sectional investigation. A total of 203 participants (141 females and 62 males), 18-90 years, had anthropometric assessments and lifestyle scores determined from a 12-item framework. Data analysis included average age in different health conditions, lifestyle scores in age groups, and correlations with age.
Average age of healthy subpopulation was 39 years while diabetes, hypertension, and obesity subpopulations were 58, 64, and 56 years, respectively. The percentage of participants whose activities of daily living (ADL) were unaffected by ill-health decreased with age (
< 0.0001), and lifestyle scores also decreased with age (
< 0.01) and negatively correlated with physical activities.
This report contributes to diabetes cardiovascular complications management. Sedentary ADL factors need integration in healthy lifestyle education especially among the elderly.</description><identifier>ISSN: 1463-4236</identifier><identifier>ISSN: 1477-1128</identifier><identifier>EISSN: 1477-1128</identifier><identifier>DOI: 10.1017/S1463423624000434</identifier><identifier>PMID: 39415660</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Activities of Daily Living ; Adolescent ; Adult ; Age groups ; Aged ; Aged, 80 and over ; Cross-Sectional Studies ; Diabetes ; Diabetes Mellitus ; Disease prevention ; Exercise ; Female ; Health care ; Health education ; Humans ; Hypertension ; Hypotheses ; Intervention ; Life Style ; Lifestyles ; Male ; Metabolic syndrome ; Middle Aged ; Obesity ; Older people ; Physical fitness ; Prevention programs ; Preventive medicine ; Questionnaires ; Sedentary behavior ; Short Report ; Weight control ; Young Adult</subject><ispartof>Primary health care research & development, 2024-10, Vol.25, p.e50, Article e50</ispartof><rights>Prof Ezekiel Uba Nwose, Novena University, Ogume Nigeria, 2024. Published by Cambridge University Press</rights><rights>Prof Ezekiel Uba Nwose, Novena University, Ogume Nigeria, 2024. Published by Cambridge University Press. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c298t-bde775d9677483c3b04809754f853136acb70f176a0c8dbc3127c05b1acc88f13</cites><orcidid>0000-0003-1318-9853 ; 0000-0002-6265-5913 ; 0000-0001-6252-7797</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S1463423624000434/type/journal_article$$EHTML$$P50$$Gcambridge$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,23297,27901,27902,55779</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39415660$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bwititi, Phillip</creatorcontrib><creatorcontrib>Egwuenu, Solomon</creatorcontrib><creatorcontrib>Oshionwu, Echinei</creatorcontrib><creatorcontrib>Okuzor, John</creatorcontrib><creatorcontrib>Odufu, Alex</creatorcontrib><creatorcontrib>Ofili, Charles</creatorcontrib><creatorcontrib>Nwose, Ezekiel Uba</creatorcontrib><title>Evaluating physical activities in clinical diabetes: lifestyle scores hypothesis</title><title>Primary health care research & development</title><addtitle>Prim Health Care Res Dev</addtitle><description>The concept of lifestyle-based risk scores is known but not evaluated in most rural communities of low- to mid-income countries. This study investigated the correlation of lifestyle scores with health indices.
This was a descriptive cross-sectional investigation. A total of 203 participants (141 females and 62 males), 18-90 years, had anthropometric assessments and lifestyle scores determined from a 12-item framework. Data analysis included average age in different health conditions, lifestyle scores in age groups, and correlations with age.
Average age of healthy subpopulation was 39 years while diabetes, hypertension, and obesity subpopulations were 58, 64, and 56 years, respectively. The percentage of participants whose activities of daily living (ADL) were unaffected by ill-health decreased with age (
< 0.0001), and lifestyle scores also decreased with age (
< 0.01) and negatively correlated with physical activities.
This report contributes to diabetes cardiovascular complications management. Sedentary ADL factors need integration in healthy lifestyle education especially among the elderly.</description><subject>Activities of Daily Living</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Age groups</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes</subject><subject>Diabetes Mellitus</subject><subject>Disease prevention</subject><subject>Exercise</subject><subject>Female</subject><subject>Health care</subject><subject>Health education</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypotheses</subject><subject>Intervention</subject><subject>Life Style</subject><subject>Lifestyles</subject><subject>Male</subject><subject>Metabolic syndrome</subject><subject>Middle Aged</subject><subject>Obesity</subject><subject>Older people</subject><subject>Physical fitness</subject><subject>Prevention programs</subject><subject>Preventive medicine</subject><subject>Questionnaires</subject><subject>Sedentary behavior</subject><subject>Short Report</subject><subject>Weight control</subject><subject>Young Adult</subject><issn>1463-4236</issn><issn>1477-1128</issn><issn>1477-1128</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>IKXGN</sourceid><sourceid>EIF</sourceid><recordid>eNp1kF1LwzAUhoMobk5_gDdS8Mabak6TJql3MuYHDBTU65Kk6ZbRj5m0g_57220qKF6dwznP-57Di9A54GvAwG9egTJCI8IiijGmhB6gMVDOQ4BIHA49I-GwH6ET71cYg8CMH6MRSSjEjOExepltZNHKxlaLYL3svNWyCKRu7MY21vjAVoEubLUdZ1Yq0xh_GxQ2N77pChN4XbseW3brulkab_0pOspl4c3Zvk7Q-_3sbfoYzp8fnqZ381BHiWhClRnO4yxhnFNBNFGYCpzwmOYiJkCY1IrjHDiTWItMaQIR1zhWILUWIgcyQVc737WrP9r-m7S0XpuikJWpW58S6MUgBME9evkLXdWtq_rvtlREaUIHCnaUdrX3zuTp2tlSui4FnA5xp3_i7jUXe-dWlSb7Vnzl2wNkbypL5Wy2MD-3_7f9BI81iOc</recordid><startdate>20241017</startdate><enddate>20241017</enddate><creator>Bwititi, Phillip</creator><creator>Egwuenu, Solomon</creator><creator>Oshionwu, Echinei</creator><creator>Okuzor, John</creator><creator>Odufu, Alex</creator><creator>Ofili, Charles</creator><creator>Nwose, Ezekiel Uba</creator><general>Cambridge University Press</general><scope>IKXGN</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1318-9853</orcidid><orcidid>https://orcid.org/0000-0002-6265-5913</orcidid><orcidid>https://orcid.org/0000-0001-6252-7797</orcidid></search><sort><creationdate>20241017</creationdate><title>Evaluating physical activities in clinical diabetes: lifestyle scores hypothesis</title><author>Bwititi, Phillip ; 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This study investigated the correlation of lifestyle scores with health indices.
This was a descriptive cross-sectional investigation. A total of 203 participants (141 females and 62 males), 18-90 years, had anthropometric assessments and lifestyle scores determined from a 12-item framework. Data analysis included average age in different health conditions, lifestyle scores in age groups, and correlations with age.
Average age of healthy subpopulation was 39 years while diabetes, hypertension, and obesity subpopulations were 58, 64, and 56 years, respectively. The percentage of participants whose activities of daily living (ADL) were unaffected by ill-health decreased with age (
< 0.0001), and lifestyle scores also decreased with age (
< 0.01) and negatively correlated with physical activities.
This report contributes to diabetes cardiovascular complications management. Sedentary ADL factors need integration in healthy lifestyle education especially among the elderly.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>39415660</pmid><doi>10.1017/S1463423624000434</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0003-1318-9853</orcidid><orcidid>https://orcid.org/0000-0002-6265-5913</orcidid><orcidid>https://orcid.org/0000-0001-6252-7797</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Activities of Daily Living Adolescent Adult Age groups Aged Aged, 80 and over Cross-Sectional Studies Diabetes Diabetes Mellitus Disease prevention Exercise Female Health care Health education Humans Hypertension Hypotheses Intervention Life Style Lifestyles Male Metabolic syndrome Middle Aged Obesity Older people Physical fitness Prevention programs Preventive medicine Questionnaires Sedentary behavior Short Report Weight control Young Adult |
| title | Evaluating physical activities in clinical diabetes: lifestyle scores hypothesis |
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