Literature DB >> 33575662

Socioeconomic and Behavioral Factors Associated with Obesity Across Sex and Age in Honiara, Solomon Islands.

Chihiro Tsuchiya1, Takuro Furusawa2, Samo Tagini3, Minato Nakazawa4.   

Abstract

The Solomon Islands is currently experiencing a change in disease burdens, from communicable to non-communicable diseases. Obesity is one of the leading non-communicable diseases causing death. Urgent action is needed to decrease the high economic and personal costs associated with obesity. This study proposes to determine behavioral and socioeconomic factors associated with obesity among different sex and age groups in an urban area of the Solomon Islands. In 2016, a cross-sectional study was conducted among adults aged 20 to 80 in Honiara, the capital of the Solomon Islands. Anthropometric measurements and a survey of socioeconomic status (SES) and behavioral status were conducted among 176 participants using a questionnaire. Multiple linear regression analysis was used to identify the socioeconomic factors significantly associated with higher body mass index (BMI) by age group. The study found a high prevalence of overweight (34%) and obesity (48%) in both sexes. Multiple linear regression analysis found that having a high-income level and being married were positively associated with higher BMI among young adults. In the middle age groups, the highest income level was positively associated with higher BMI. Young and middle-aged adults with a high SES might consume higher calorie food, contributing to weight gain, but this needs confirmation. Moreover, getting married might lead to more consistent meals and weight gain among the young age group. These findings suggest that health professionals have to consider the influence of income level and marital status on lifestyle choices when planning interventions that promote healthy lifestyles. ©Copyright 2021 by University Health Partners of Hawai‘i (UHP Hawai‘i).

Entities:  

Keywords:  Non-communicable diseases; Solomon Islands; developing countries; factor analysis; obesity; risk behavior

Mesh:

Year:  2021        PMID: 33575662      PMCID: PMC7871455     

Source DB:  PubMed          Journal:  Hawaii J Health Soc Welf        ISSN: 2641-5216


  18 in total

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Authors:  Cynthia L Ogden; Margaret D Carroll; Cheryl D Fryar; Katherine M Flegal
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3.  Comprehensive geriatric assessment of elderly highlanders in Qinghai, China IV: comparison of food diversity and its relation to health of Han and Tibetan elderly.

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Journal:  Geriatr Gerontol Int       Date:  2009-12       Impact factor: 2.730

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Authors:  Tung-Sung Tseng; Hui-Yi Lin
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Review 5.  Obesity and diabetes in Pacific Islanders: the current burden and the need for urgent action.

Authors:  Nicola L Hawley; Stephen T McGarvey
Journal:  Curr Diab Rep       Date:  2015-05       Impact factor: 4.810

6.  Investigation of the freely available easy-to-use software 'EZR' for medical statistics.

Authors:  Y Kanda
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Review 7.  The effect of pregnancy weight gain on later obesity.

Authors:  S A Lederman
Journal:  Obstet Gynecol       Date:  1993-07       Impact factor: 7.661

8.  The Association between Marital Transitions, Body Mass Index, and Weight: A Review of the Literature.

Authors:  Lauren Dinour; May May Leung; Gina Tripicchio; Sahar Khan; Ming-Chin Yeh
Journal:  J Obes       Date:  2012-09-20

Review 9.  The Rapid Assessment of Physical Activity (RAPA) among older adults.

Authors:  Tari D Topolski; James LoGerfo; Donald L Patrick; Barbara Williams; Julie Walwick; Marsha B Patrick
Journal:  Prev Chronic Dis       Date:  2006-09-15       Impact factor: 2.830

10.  Dietary Diversity of an Adult Solomon Islands Population.

Authors:  Bridget Horsey; Libby Swanepoel; Steven Underhill; Judith Aliakbari; Sarah Burkhart
Journal:  Nutrients       Date:  2019-07-17       Impact factor: 5.717

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